IoT Based Water Level Meter for Alerting Population about Floodsijtsrd
The most important thing before, during and after a disaster is the dissemination of information, the deployment of IoT enabled devices Internet of Things which can bring benefits in terms of providing people with the right decision making information in the face of this disaster. In this paper, we introduce a sensor for measuring water quality in rivers, lakes, ponds and streams. To prove our idea, weve developed a pilot project using a small scale model used for water based sensors based on an open circuit that meets water and is tested horizontally in a water container under a controlled environment. Ashwin Kumar V | Bharanidharan N | Bharanidharan S | Vanaja. C "IoT Based Water Level Meter for Alerting Population about Floods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31714.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/31714/iot-based-water-level-meter-for-alerting-population-about-floods/ashwin-kumar-v
One of the most important aspect of Wireless Sensor Networks is Monitoring the content of moisture in the soil, temperature and humidity with the help of Zigbee.
IoT Based Water Level Meter for Alerting Population about Floodsijtsrd
The most important thing before, during and after a disaster is the dissemination of information, the deployment of IoT enabled devices Internet of Things which can bring benefits in terms of providing people with the right decision making information in the face of this disaster. In this paper, we introduce a sensor for measuring water quality in rivers, lakes, ponds and streams. To prove our idea, weve developed a pilot project using a small scale model used for water based sensors based on an open circuit that meets water and is tested horizontally in a water container under a controlled environment. Ashwin Kumar V | Bharanidharan N | Bharanidharan S | Vanaja. C "IoT Based Water Level Meter for Alerting Population about Floods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31714.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/31714/iot-based-water-level-meter-for-alerting-population-about-floods/ashwin-kumar-v
One of the most important aspect of Wireless Sensor Networks is Monitoring the content of moisture in the soil, temperature and humidity with the help of Zigbee.
REMOTE SENSING AND CONTROL FOR ESTABLISHING AND MAINTAINING DIGITAL IRRIGATIONijait
The remotely sensed data from an unknown location is transmitted in real time through internet and gathered in a PC. The data is collected for a considerable period of time and analyzed in PC as to assess the suitability and fertility of the land for establishing an electronic plantation in that area. The analysis also helps deciding the plantation of appropriate plants in the location identified. The system performing this task with appropriate transducers installed in remote area, the methodologies involved in transmission and data gathering are reported.. The second part of the project deals with data gathering from remote site and issuing control signals to remote appliances in the site; all performed through internet. Therefore,
this control scheme is a duplex system monitoring the irrigation activities by collecting data in one direction and issuing commands on the opposite direction. This scheme maintains the digital irrigation systems effectively and efficiently as to utilize the resources optimally for yielding enhanced production.
The methodologies involved in extending the two way communication of data are presented.
Ever spent hours carefully installing your weather station in the field and then come back only to discover you made mistakes that compromised the installation? Or worse, find out months later that you can’t be confident in the quality of your data? Our scientists have over 100 years of combined experience installing sensors in the field, and we’ve learned a lot about what to do and what not to do during an installation.
Join Dr. Doug Cobos in this 20-minute webinar as he discusses weather station installation considerations and best practices you don’t want to miss. Learn:
-General siting and installation best practices
-Installation recommendations from WMO and other standards organizations
-Common installation mistakes
-How to identify installation mistakes in your data
-Microclimate variability and how to pick a representative location
-Troubleshooting at the site
-Types of metadata you should always collect
Wireless Sensor Networks are networks that consists of sensors which are distributed in an ad hoc manner.
These sensors work with each other to sense some physical phenomenon and then the information gathered is processed to get relevant results.Wireless sensor networks consists of protocols and algorithms with self-organizing capabilities
IoT Based Smart Water Monitoring and Distribution System For An ApartmentsYogeshIJTSRD
As we know water is so precious for human being as well as for the complete nature without which it will not be possible to survive. Even though lot many efforts have been taken by government through various schemes and it is becoming difficult day by day to save water for future and make efficient utilization of it. In this proposed work, an IoT design for water monitoring and control approach which supports internet based data collection on real time bases. This proposed system shall implement in highly populated residential buildings like hotels, lodge, hostels, dormitory, apartments, shopping malls etc. And also, this system can provide a complete survey and the usage of water by every individual room. This system addresses that the flow rate measuring and scheming the supply of water in order to limit the water wastage and approach the water conservation and also this system can measure the quality and quantity of water distributed to every household by using ph and flow rate sensors. The system has been designed in such a way that it will monitor the available water level continuously. System has been implemented by using embedded system and communication will takes. Dr. R. Mohana Priya | M. Sathyamoorthy | S. Surya | V. Vishnu Gopal "IoT Based Smart Water Monitoring & Distribution System For An Apartments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd41133.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/41133/iot-based-smart-water-monitoring-and-distribution-system-for-an-apartments/dr-r-mohana-priya
The most thorough guide to Data Loggers. Get the complete overview over usage, how to get started and why it's a big part of any digitalizing of business.
Wireless sensor network plays vital role in today’s life, it is a collection of sensors that are scattered in different directions which are further used to control and measure the physical conditions of environment as well as to organize to the data somewhere at centre location. As in context of greenhouse we can measure various parameters such as temperature, humidity, water level, insect monitoring and light intensity.
Logging data refers to the systematic recording of actions, findings, or measurements. Additionally, a data logger is a device that is used to record data. Anytime it’s necessary to take continuous measurements from an instrument, data loggers are needed. Data loggers are an essential tool that is widely utilized in the geotechnical instrumentation and monitoring industry. The following segment briefly explains the data logger.
This is a report describing what actually dataloggers is.A data logger (also datalogger or data recorder) is an electronic device that records data over time or in relation to location either with a built in instrument or sensor or via external instruments and sensors. Increasingly, but not entirely, they are based on a digital processor (or computer).The logger usually refers to the usage of a class in log4j. The logger is a member object whose function e.g. severe is called. The logger usually logs into a file (this can be configured through log4j.xml or some other config file or during the program start).
Introduction:
When the application does not require high-speed recording but does require prolonged recording times, the data logger is chosen instead of a data collecting system. Compared to DAQ systems, they are less expensive.
The “workhorse” of recording devices is the Data Logger. They are capable of storing data for periods of days, weeks, or even years. Data logging is the term used frequently to describe this process. This content will help you understand about data logger
Onset Guide: Bluetooth or USB Field Temp/RH Data LoggersMetrics GmbH
HOBO U23- oder MX2300-Serie Datenlogger? Onsets Ratgeber gibt Entscheidungshilfen zur Auswahl des geeignetsten Outdoor-Datenloggers für Temperatur bzw. Temperatur und relative Feuchte (englisch).
A decision-making guide to choosing the most suitable temp/RH data logger for monitoring outdoor environments.
How to Find High Quality Flameproof Data Loggers?Shree Electrical
In contrast, data loggers include automatic recording features that allow for precise measurements to be taken at user-defined intervals without the need for human interaction. Because manual recording and routine readings are no longer necessary, data loggers are less likely to miss readings or gather data incorrectly. This is crucial in fields like food processing or pharmaceuticals where precise measurements are necessary and even little mistakes might have catastrophic results.
A Critical Assessment of Data Loggers for Farm Monitoring Addressing Limitati...ssuser793b4e
This comprehensive review examines thirty-nine data loggers and
their associated literature, systematically critiquing their design and
implementation. The integration of data loggers in farm monitoring proves
cost-effective, enabling the simultaneous monitoring of multiple parameters
without human intervention. The accrued data, when logged over time,
contributes to more accurate weather predictions, empowering farmers to
strategically plan for upcoming seasons. However, the review reveals a
prevalent issue among existing data loggers: many cannot read and record
various weather parameters concurrently, coupled with insufficient storage
capacity. This limitation hinders their suitability for prolonged, unattended
data storage. Additionally, a significant number of the reviewed data loggers
lack long-range wireless data transmission capabilities, restricting effective
weather monitoring from a distance. The findings underscore the need for
researchers to focus on developing advanced long-range data logger systems
with enhanced memory storage capacities to address these identified
shortcomings.
REMOTE SENSING AND CONTROL FOR ESTABLISHING AND MAINTAINING DIGITAL IRRIGATIONijait
The remotely sensed data from an unknown location is transmitted in real time through internet and gathered in a PC. The data is collected for a considerable period of time and analyzed in PC as to assess the suitability and fertility of the land for establishing an electronic plantation in that area. The analysis also helps deciding the plantation of appropriate plants in the location identified. The system performing this task with appropriate transducers installed in remote area, the methodologies involved in transmission and data gathering are reported.. The second part of the project deals with data gathering from remote site and issuing control signals to remote appliances in the site; all performed through internet. Therefore,
this control scheme is a duplex system monitoring the irrigation activities by collecting data in one direction and issuing commands on the opposite direction. This scheme maintains the digital irrigation systems effectively and efficiently as to utilize the resources optimally for yielding enhanced production.
The methodologies involved in extending the two way communication of data are presented.
Ever spent hours carefully installing your weather station in the field and then come back only to discover you made mistakes that compromised the installation? Or worse, find out months later that you can’t be confident in the quality of your data? Our scientists have over 100 years of combined experience installing sensors in the field, and we’ve learned a lot about what to do and what not to do during an installation.
Join Dr. Doug Cobos in this 20-minute webinar as he discusses weather station installation considerations and best practices you don’t want to miss. Learn:
-General siting and installation best practices
-Installation recommendations from WMO and other standards organizations
-Common installation mistakes
-How to identify installation mistakes in your data
-Microclimate variability and how to pick a representative location
-Troubleshooting at the site
-Types of metadata you should always collect
Wireless Sensor Networks are networks that consists of sensors which are distributed in an ad hoc manner.
These sensors work with each other to sense some physical phenomenon and then the information gathered is processed to get relevant results.Wireless sensor networks consists of protocols and algorithms with self-organizing capabilities
IoT Based Smart Water Monitoring and Distribution System For An ApartmentsYogeshIJTSRD
As we know water is so precious for human being as well as for the complete nature without which it will not be possible to survive. Even though lot many efforts have been taken by government through various schemes and it is becoming difficult day by day to save water for future and make efficient utilization of it. In this proposed work, an IoT design for water monitoring and control approach which supports internet based data collection on real time bases. This proposed system shall implement in highly populated residential buildings like hotels, lodge, hostels, dormitory, apartments, shopping malls etc. And also, this system can provide a complete survey and the usage of water by every individual room. This system addresses that the flow rate measuring and scheming the supply of water in order to limit the water wastage and approach the water conservation and also this system can measure the quality and quantity of water distributed to every household by using ph and flow rate sensors. The system has been designed in such a way that it will monitor the available water level continuously. System has been implemented by using embedded system and communication will takes. Dr. R. Mohana Priya | M. Sathyamoorthy | S. Surya | V. Vishnu Gopal "IoT Based Smart Water Monitoring & Distribution System For An Apartments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd41133.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/41133/iot-based-smart-water-monitoring-and-distribution-system-for-an-apartments/dr-r-mohana-priya
The most thorough guide to Data Loggers. Get the complete overview over usage, how to get started and why it's a big part of any digitalizing of business.
Wireless sensor network plays vital role in today’s life, it is a collection of sensors that are scattered in different directions which are further used to control and measure the physical conditions of environment as well as to organize to the data somewhere at centre location. As in context of greenhouse we can measure various parameters such as temperature, humidity, water level, insect monitoring and light intensity.
Logging data refers to the systematic recording of actions, findings, or measurements. Additionally, a data logger is a device that is used to record data. Anytime it’s necessary to take continuous measurements from an instrument, data loggers are needed. Data loggers are an essential tool that is widely utilized in the geotechnical instrumentation and monitoring industry. The following segment briefly explains the data logger.
This is a report describing what actually dataloggers is.A data logger (also datalogger or data recorder) is an electronic device that records data over time or in relation to location either with a built in instrument or sensor or via external instruments and sensors. Increasingly, but not entirely, they are based on a digital processor (or computer).The logger usually refers to the usage of a class in log4j. The logger is a member object whose function e.g. severe is called. The logger usually logs into a file (this can be configured through log4j.xml or some other config file or during the program start).
Introduction:
When the application does not require high-speed recording but does require prolonged recording times, the data logger is chosen instead of a data collecting system. Compared to DAQ systems, they are less expensive.
The “workhorse” of recording devices is the Data Logger. They are capable of storing data for periods of days, weeks, or even years. Data logging is the term used frequently to describe this process. This content will help you understand about data logger
Onset Guide: Bluetooth or USB Field Temp/RH Data LoggersMetrics GmbH
HOBO U23- oder MX2300-Serie Datenlogger? Onsets Ratgeber gibt Entscheidungshilfen zur Auswahl des geeignetsten Outdoor-Datenloggers für Temperatur bzw. Temperatur und relative Feuchte (englisch).
A decision-making guide to choosing the most suitable temp/RH data logger for monitoring outdoor environments.
How to Find High Quality Flameproof Data Loggers?Shree Electrical
In contrast, data loggers include automatic recording features that allow for precise measurements to be taken at user-defined intervals without the need for human interaction. Because manual recording and routine readings are no longer necessary, data loggers are less likely to miss readings or gather data incorrectly. This is crucial in fields like food processing or pharmaceuticals where precise measurements are necessary and even little mistakes might have catastrophic results.
A Critical Assessment of Data Loggers for Farm Monitoring Addressing Limitati...ssuser793b4e
This comprehensive review examines thirty-nine data loggers and
their associated literature, systematically critiquing their design and
implementation. The integration of data loggers in farm monitoring proves
cost-effective, enabling the simultaneous monitoring of multiple parameters
without human intervention. The accrued data, when logged over time,
contributes to more accurate weather predictions, empowering farmers to
strategically plan for upcoming seasons. However, the review reveals a
prevalent issue among existing data loggers: many cannot read and record
various weather parameters concurrently, coupled with insufficient storage
capacity. This limitation hinders their suitability for prolonged, unattended
data storage. Additionally, a significant number of the reviewed data loggers
lack long-range wireless data transmission capabilities, restricting effective
weather monitoring from a distance. The findings underscore the need for
researchers to focus on developing advanced long-range data logger systems
with enhanced memory storage capacities to address these identified
shortcomings.
Environmental Monitoring with Temperature Data Loggers.pptxG-Tek Corporation
The latest and trending buzzword coming across is the process of Environmental monitoring. It is the core requirement in the industry and the market today. The global eco-friendly drive aims to foster the industry’s need and share a sustainable use with less damage and wastage. Here the term refers to the tools, technologies, and practices specially designed to monitor a specific environment, characterize its quality, and set quantifiable parameters for measuring impact on that environment and managing it accordingly.
Việc duy trì kiểm soát các điều kiện môi trường trong các phòng thí nghiệm hoặc phòng sạch được quản lý chặt chẽ để tuân thủ các tiêu chuẩn GMP. Tuy nhiên việc này phức tạp và tốn thời gian. Hướng dẫn này đưa ra một số khía cạnh quan trọng cần xem xét để giảm thiểu rủi ro và duy trì sự tuân thủ trong phòng thí nghiệm hoặc phòng sạch.
Xem thêm các tài liệu khác trên kênh của Công ty Cổ phần Tư vấn Thiết kế GMP EU.
Data, Big Data and real time analytics for Connected DevicesSrinath Perera
Internet of things paints a vivid picture of a possible reality that is both fascinating and imposing. However, few talk about the sensing and decision making infrastructure--the brain--that must be present with those devices. Underline decision framework needs to collect data, analyze them, compare and contrast with all data, and draw conclusions and arrive at decisions before humans at the other end notice the lag.
In talk will start with IoT reference architecture and will discuss Complex Event Processing (CEP) coupled with Lambda architecture as a underline decision framework for underline IoT scenario while drawing examples from several real-world scenarios. You will learn about design choices in building an IoT architecture, CEP, Hive, and Lambda architecture.
Topics to be covered:
The relationship between IoT and data, big data, and real-time analytics
Design choices in building an IoT architecture, CEP, Hive, and Lambda architecture
The Slide focusses on providing insights on following topics,
* Overview of IoT
* History of IoT
* Advantages of IOT
* Challenges of IOT
* Architecture of IOT
* Devices and Network
* Applications of IOT
* IOT Tools and Platforms
Der S-WSB-M003 Windgeschwindigkeits-Smartsensor von Onset misst durchschnittliche Windgeschwindigkeit und Windböenmaximum und arbeitet mit allen Smartsensor-kompatiblen HOBO Sation Datenloggern zusammen. Seine robuste Konstruktion gewährleistet eine lange Lebensdauer auch unter ungünstigen Bedingungen.
Der S-WDA-M003 Windrichtungs-Smartsensor von Onset misst die durchschnittliche Windrichtung und arbeitet mit allen Smartsensor-kompatiblen HOBO Sation Datenloggern zusammen. Seine robuste Konstruktion mit abgeschirmtem Edelstahlkugellager und statische Elektrizität ableitendem Gehäuse gewährleistet eine lange Lebensdauer auch unter ungünstigen Bedingungen.
Die Temperatur/rF-Smartsensoren von Onset messen Lufttemperatur und relative Feuchte und arbeitet mit allen Smartsensor-kompatiblen HOBO Datenloggern zusammen.
Die Temperatur-Smartsensoren von Onset messen die Temperatur (in der Luft, in Flüssigkeiten, im Boden) und arbeitet mit allen Smartsensor-kompatiblen HOBO Datenloggern zusammen.
Die HOBOware-Software von Onset für Windows und Mac wird für das Logger-Management, die Datenauswertung und Datenanalyse der HOBO Datenlogger benötigt.
Auswahl eines Wasserpegel -DatenloggersMetrics GmbH
Bevor Sie sich für den Kauf oder die Miete eines Pegellogers entscheiden, sollten Sie Onsets Ratgeber zur Auswahl eines Wasserpegel-datenloggers lesen.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
2. Introduction
In today’s data-driven world of satellite uplinks, wireless networks, and the
Internet, it is common to hear the terms “data logging” and “data loggers”
and not really have a firm grasp of what they are.
Most people have a vague idea that data logging involves electronically
collecting information about the status of something in the environment,
such as temperature, relative humidity, or energy use. They’re right, but
that’s just a small view of what data logging is.
In the fields of building performance and environmental
research, everyone seems to be using data loggers. But
what are they, and why are they useful?
This guide will introduce you to the wide world of elec-
tronic data loggers and data logging, and will help to
clarify your understanding, whether you:
• are a new hire embarking on a project or career where data
loggers are required
• have been asked by a supervisor or team member to purchase data
loggers
• must persuade a decision-maker that data loggers will be useful for your
work (for starters, they can save labor costs and increase efficiency by
reducing travel time)
• have heard about data loggers and are just curious about their
applications, or,
• are a longtime user of the devices and want to refresh your understanding
and stay up-to-date with the technology and capabilities offered today.
In the following pages, we’ll cover data logger basics (the what, where, and
why); explain the steps involved in using a data logger; outline important
considerations to keep in mind when selecting data loggers; and finish with
real-world examples of data loggers being used by professionals in fields
ranging from building energy efficiency to water quality management to basic
scientific research.
Throughout you’ll find examples, resources, and helpful information for you to
use in evaluating data loggers for your work, and you’ll have a solid sense of
why professionals worldwide rely on electronic data loggers more than ever as
part of their toolkit.
1
3. Data logger basics
What is a data logger?
A data logger is an electronic instrument that records measurements at set
intervals over a period of time. Depending on the particular data logger, such
measurements can include:
Data loggers are typically compact, battery-powered devices equipped with
an internal microprocessor, data storage, and one or more sensors. They
can be deployed indoors, outdoors, and underwater, and can record data
for up to months at a time, unattended. A data logger may be a single-unit,
stand-alone device with internal sensors, which fits in the palm of a hand,
or it may be a multi-channel data collection instrument equipped with one or
more external sensors.
Why use data loggers?
Data loggers are valuable tools for anyone who wants to continuously
monitor conditions without having to be on site. Environmental consultants,
building managers, energy auditors, research scientists, and many more
professionals all rely on data loggers because of their:
Low cost
The price of data loggers has come down with advances in microprocessors
in recent years, and a single, one-sensor logger can cost less than $100.
Users save time and money by launching and leaving a logger unattended
to take time-stamped measurements, rather than having to be on site
themselves. The low cost of data loggers also allows for deployment of
multiple loggers at a time, in some cases reducing project length and
enhancing the volume of data available for analysis.
Because of the long battery life characteristic of many portable data loggers,
they can be deployed for long periods of time, meaning less time spent
traveling to and from the logger to download data. For remotely-placed
loggers, or in situations where many loggers are used, that can be a huge
savings in time and money.
• Air temperature
• Relative humidity
• AC/DC current and voltage
• Differential pressure
• Time-of-use (lights, motors, etc.)
• Light intensity
• Water temperature
• Dissolved oxygen
• Soil moisture
• Rainfall
• Wind speed and direction
• Leaf wetness
• Pulse signals
• Room occupancy
• Plug load
…and many more
2
4. Ease of use
Data loggers are certainly used by engineers and research technicians, but
they’re also used by elementary schoolchildren in science projects. It can
be a mere 15 minutes from opening the box to deployment of a data logger;
for some models, simply connect the logger to a computer, use the data
logger’s software to configure the sampling frequency and start/stop times,
and you’re ready to go. Bluetooth Low Energy (BLE) enabled loggers don’t
even require a computer, only a mobile device and app.
Downloading data is simple as well, and it can be easily analyzed, graphed,
and formatted for presentation or export to other applications. We’ll cover
this in more detail in another section.
Reliability
Once configured and deployed, you can rely on a battery-powered data
logger to gather the information you need, for as long as you need. No
human error, schedule conflict, inclement weather, bad handwriting, or data
entry errors will affect your data collection. And whether indoors or out,
data loggers are rugged instruments designed to withstand a wide range of
environmental conditions, including salt water, refrigeration, strong winds,
and constant sunlight.
Time-stamped data
Collection of data is, of course, at the core of these devices, and their
purpose is to provide objective, time-stamped proof of conditions over time,
which can be used to test theories, confirm operations, provide a record
for supervisors or regulatory agencies, and supply information to decision-
makers. The data they collect allows for better interpretations and choices,
and can save time and money in the long run.
Where are data loggers used?
Data loggers are used in a broad range of indoor, outdoor, and underwater
environments, from high-rise buildings to the Arctic – essentially anywhere
data is needed and the convenience of battery power is preferred
Once configured and deployed,
you can rely on a battery-
powered data logger to gather
the information you need, for as
long as you need.
3
5. Common data logging applications
Building Performance
• Track building electricity usage to understand energy profiles and manage
peak demand
• Verify energy cost savings to determine ROI of new equipment
• Monitor equipment runtimes to ensure efficient operation
• Monitor equipment for leaks to cut wasteful energy consumption
• Diagnose causes of occupant comfort complaints
• Ensure healthy indoor air quality
• Track room occupancy and light use patterns
• Optimize HVAC system performance
• Better manage peak energy demand
Environmental Research
• Perform ecological studies that provide a detailed picture of the habitat
• Conduct agricultural research that reveals opportunities for improving yields
• Set up animal studies that verify the impact of climate on species
• Perform soil studies to understand the effects of climate on soil quality
• Gather essential data for more effective stormwater management
• Perform detailed water quality studies
• Conduct rigorous oceanographic research
• Run long-term climate change studies
• Study and measure environmental impact
• Do in-depth hydrology research that reveals the movement, distribution,
and quality of water – even across a broad area
4
6. Anatomy of a data logger
Let’s dig a bit deeper into what the device actually is and does. A data logger,
at its most basic, is a small device with an internal microprocessor, data
storage, and one or more sensors, all housed in a hard plastic casing that is
weatherproof and/or tamper resistant, depending on the model.
When most people use the term “data logger,” they’re usually referring to the
whole device, which is comprised of a data logger that does the logging, and
sensors that measure the parameters. The sensor or sensors may be housed
inside the data logger’s case, or they may be attached to the logger’s sensor
ports via a cable. Data loggers also have either a cable port or an optical
sensor, through which data can be transmitted to the user. Finally, some
models have LCD screens that provide operating information, while others
have simple light indicators.
All data loggers share these basic parts and characteristics; where they diverge
is in exactly how data can be downloaded to the user. To this end, there are
3 main types of data loggers: stand-alone USB data loggers, web-based data
logging systems, and Bluetooth Low Energy data loggers.
Stand-alone USB data loggers are compact, reusable, and portable, and offer
low cost and easy setup and deployment. Internal-sensor models are used for
monitoring at the logger location, while external-sensor models (with flexible
input channels for a range of external sensors) can be used for monitoring at
some distance from the logger. Most stand-alone loggers communicate with a
computer via a USB interface. For greater convenience, a data shuttle device
can be used to offload data from the logger for transport back to a computer.
Web-based data logging systems enable remote, around-the-clock
internet-based access to data via GSM cellular, Wi-Fi, or Ethernet commou
knounications. These systems can be configured with a variety of external
plug-in sensors and transmit collected data to a secure web server for
accessing the data.
Data loggers that utilize Bluetooth Low Energy (BLE) technology measure and
transmit temperature and relative humidity data wirelessly to mobile devices
over a 100-foot range.
Depending on the scope of your data logging needs, your budget, the
distances involved, and the time you have to access sites, you can choose
among these four types of data logging systems for your application.
When most people use the term
“data logger,” they’re usually
referring to the whole device,
which is comprised of a data
logger, which does the logging,
and sensors, which measure
the parameters.
Battery
LCD screen
Temperature sensor
Start/stop button
Mounting magnets
Mounting loop
USB port
Alarm/status button
5
7. Using a data logger
Today’s data loggers are easy to use, and require only a computer with a USB
port for configuration and launch, or a mobile device and app, as well as a few
simple hand tools for securing the units in place.
1. Configure and launch - First, connect the data logger to a computer via
a USB interface. Next, use the accompanying data logger software to select
logging parameters (sampling intervals, start time, etc.) and activate the logger.
Some software allows for configuring large numbers of data loggers at the
same time, which can be a huge time savings. (BLE data loggers
can be configured and launched wirelessly, after deployment.)
2. Secure in place – Next, deploy the data logger in the desired location.
Securing it in place can be as simple as using a magnet, screw, or lanyard
to fasten it to a wall. In other instances, installation can be more complex,
particularly when dealing with multi-channel data logging systems such as
a weather station, where the user needs to assemble and secure a weather
station tripod, arrange and protect sensors from elements and animals, plug
everything in, and weatherproof all connections.
3. Download or access data - After the desired monitoring period, reconnect
the data logger to the computer, and launch the software to read out the data.
In the case of web-based data logging systems, data are pushed to the Internet
for access; and with BLE loggers, data are downloaded directly to your mobile
device.
4. Process/analyze/present data – The data logger’s software allows you
to combine and compare data, and display the measurements in graphs that
show profiles over time. Alternatively, tabular data can be viewed as well, or
exported to a spreadsheet for further manipulation.
6
8. Considerations for evaluating data loggers
Now that you have an overview of what data loggers are and how they
work, you can make some educated choices about them for your particular
application. Before you start to look around or contact any data logger
manufacturers, it’s a good idea to have a clear understanding of your
requirements and preferences. Here are some questions to consider:
• What do you need to measure? Where? For how long? This will help to
identify which sensors you need, as well as the type of housing the logger
requires.
• Is yours a one-time data-logging situation, or will it be part of an ongoing
project or toolkit? This will inform whether you choose data loggers with
internal, hard-wired sensors, or more flexible multi-channel loggers that
can accept a range of sensors.
• How often would you like to access data? Will you collect the logger
and plug it into your laptop, or would you rather save the travel time and
expense and access the data on the Internet, or opt for the convenience
of downloading data directly to a mobile device?
We’ll touch on these in more detail below, but having the answers to these
questions will help narrow down your choices.
Measurement accuracy
No matter what you need to measure, understanding your measurement
accuracy requirements is essential. For example, if you’re monitoring
air-conditioning temperature in an office space, you may only require a
temperature measurement accuracy of +/- 2 degrees, while monitoring
conditions in a research lab may require far greater accuracy. Or when
monitoring streams for suitability for certain fish species, for example,
accuracy on the order of 0.2C is typically required.
Accuracy specifications vary widely among different types of data loggers,
and a good understanding of specific accuracy requirements will help you
avoid paying for accuracy you might not need. When looking at the accuracy
specifications for a given data logger, be sure to look for charts that indicate
accuracy over an entire measurement range, not just a single value. The
accuracy a data logger can achieve at the high or low end of a given range
may be far different from the accuracy at the middle of the range.
Another important factor is data logger resolution; that is, the number of
increments of a value a data logger is capable of reporting. For example,
a data logger with 12-bit resolution can report 4,096 values over a given
temperature range. While a 12-bit data logger may offer more resolution than
an 8-bit model, it’s important to keep in mind that higher resolution does not
necessarily mean better measurements.
If you’re unsure about the data logger accuracy and resolution requirements
of your application, an experienced data logger supplier should be able to help
you determine which product will best meet your needs.
7
9. Data access options
With the simplest stand-alone data loggers, data are directly offloaded to a
computer via a USB interface. In many instances, however, it’s not practical to
bring a computer out to a site, nor is it always convenient to bring a data logger
back to the office. In such cases, data retrieval from stand-alone loggers can
instead be easily and quickly accomplished using a pocket-sized device called
a data shuttle. With a shuttle (or waterproof shuttle) you can download and
store the collected data without having to interrupt or move the logger, and later
link the shuttle to a computer for downloading and analyzing the data.
Web-based data logging systems can be used in both indoor and outdoor
environments. They enable real-time remote access to data via GSM cellular,
Wi-Fi, or Ethernet communications, and can be configured with a wide range
of plug-and-play sensors for monitoring everything from weather conditions
to building energy consumption. Data can be accessed easily through a
secure web site or integrated into custom systems with a relatively simple-to-
implement set of web services
BLE data loggers, which measure and transmit temperature and relative
humidity data wirelessly to mobile devices over a 100-foot range, are
particularly useful in applications where data loggers need to be deployed in
hard-to-reach spaces or in limited-access areas within a facility.
USB Loggers Bluetooth LoggersWeb-Based Systems
Short or long-term trend logging with
manual offload
Wireless data access via mobile
devices
Long-range wireless internet access
Internet
8
10. The software should enable you
to quickly and easily perform
tasks such as configuring
parameters, launching the data
logger, and offloading data,
with point-and-click simplicity.
Software capabilities
Just as there are many different types of data loggers available, there are
also many different types of data graphing and analysis software packages.
In general, look for software that is Windows- or Mac-based, depending
on your requirements, and highly intuitive so the learning curve is minimal.
The software should enable you to quickly and easily perform tasks such as
configuring parameters, launching the data logger, and offloading data, with
point-and-click simplicity. Certain packages allow you to batch-configure and
read out hundreds of loggers very quickly.
The data logging software package should also offer powerful data plotting
capabilities, with an ability to easily merge, append, and crop data, and enable
you to easily export data to other programs, such as Microsoft® Excel®, for
analysis.
Durability
When buying a data logger, make sure the product’s enclosure is designed
to withstand the conditions of the environment where it will be located. For
example, if you plan to conduct monitoring in an office hallway, a hard plastic
enclosure should suffice. If the data logger needs to work in a condensing
environment, however, you would want to choose a product with a moisture-
protective enclosure. It’s also a good idea to ask about the availability of
protective cases and other enclosure accessories for situations where
increased durability and/or protection may be necessary.
9
11. Battery life
Overall, data loggers are extremely low-power devices. However, because
they are used in a variety of environmental conditions and sample at different
rates, battery life can vary widely. As a general rule of thumb, make sure the
data logger you select has a battery life of at least one year. For some remote
situations, you may want to investigate whether a solar-powered option is
available.
You may also ask a supplier about whether or not the data logger battery is
user-replaceable, as this can eliminate the time and expense of having to
ship the logger back to the manufacturer for battery replacement. Finally, data
loggers that run off standard household batteries offer greater convenience
than those requiring specialized batteries.
Cost of ownership
The lower cost of microprocessors and sensors in recent years has helped
push down the price of battery-powered data loggers. Although many data
products available today are attractively priced, it’s important to look closely
at the total cost of ownership before making your purchase. Here are some
questions you may want to ask your potential supplier:
• Will the logger need to be calibrated by the manufacturer periodically, and
if so, what are the cost implications over time?
• Will I need to invest in a pricey software package to analyze my results?
• Will I be able to use AA batteries, or will the logger require a proprietary or
hard-to-find power source?
• Are cables included with the logger?
• Will I need to purchase a data plan for my web-based system, and if so,
what types of plans are available?
Answers to these questions will help you understand the true cost of owning
the data logger over the long term.
Product support
In general, data loggers should be easy to use, without requiring a great deal
of technical assistance, even during the initial phases of use. Nevertheless, as
with any high-tech product, there will always be questions. When evaluating
data loggers, look for a supplier that offers a range of product support services.
These services often start with a preliminary assessment of your application
requirements, and should include both telephone support and Internet-based
support resources.
It’s also a good idea to find out if the supplier has the track record and stability
to maintain the role of a long-term solutions provider; after all, you will have
these data loggers for years. Then you can be assured that the company will
be there to meet your future data logging requirements. Finally, you may want
to ask the supplier for application notes and other references to gain a sense
for how the data loggers performed in applications similar to yours.
In general, data loggers
should be easy to use, without
requiring a great deal of
technical assistance, even
during the initial phases of use.
10
12. Building Performance
Indoor Environmental Monitoring
Challenge:
Challenge:
Solution:
Solution:
Results:
Results:
• Reduce energy costs associated with 9,000 sf facility that generates
$25K in utility bills annually and decrease its carbon footprint
• Determine which energy-saving equipment best fits the needs of
the facility
• Calculate potential return-on-investment of the new equipment
• Prevent deterioration of irreplaceable natural history museum
collection
• Comply with restrictions associated with historical landmarks
• Monitor and maintain stable temperature/RH levels throughout
420,000 sf of museum space
• Data-driven approach involving the deployment of portable data
loggers throughout the facility
• Collection of large quantities of diverse data in a short amount of time
• Motor On/Off data loggers deployed directly on loop motors
• Temperature data loggers deployed discreetly in office areas to log zone temperatures
• 50 wireless data loggers with integrated
temperature and RH sensors
• Discreet deployment of data nodes via non-marking 3M adhesive strips
• Real-time data, instant notification potential, and onboard buffer memory to ensure no data are lost
Energy Monitoring
• Based on data analysis, recommended actions to install new HVAC controls and a web-enabled system for centralized/
automated control of HVAC system, install energy recovery ventilation system, install a solar photovoltaic energy
solution, and implement building shell improvements
• Estimated energy cost savings of $215K over the next 15 years
• Convenient data offload from multiple locations
• Prompt identification, diagnosis, and resolution of HVAC equipment dysfunction
11
13. Environmental Research
Climate Monitoring
Water Monitoring
Challenge:
Challenge:
Solution:
Solution:
Results:
Results:
• Manage agricultural risks related to weather and pests;
minimize use of pesticides
• Fully utilize the power of weather-based models
• Provide a user-friendly decision support tool that doesn’t
involve additional work for growers
• Restore and preserve freshwater ecosystem
• Decrease stream temperature to increase pool habitat for native fish
• Support healthier fish populations and a larger beaver population
• Deployment of on-site web-based weather stations
• Transmittal of live weather data to the Internet via integrated Wi-Fi communication modules
• Create active connections between three natural springs and the
creek to provide new sources of cool water and additional stream-flow
• Install water temperature data loggers above and below each spring confluence with the creek to collect pre- and post-
project stream temperature data
• Accessible, accurate, farm-specific weather data
• Information helps growers with actionable pest management decisions
• Charted stream-flow and temperature information from data collected at 30-minute intervals and download
approximately four times per year via HOBO Waterproof Shuttle
• Data helped determine how effective the connection of the springs to the creek was in lowering stream temperature
12
14. Choosing an Occupancy and Light On/Off Data
Logger – 5 Important Considerations
This paper provides guidance on features to consider when
choosing an occupancy and light on/off data logger, including
calibration, LCD display, logger accuracy and range, speed of
deployment, and time-saving software. Learn how to select the
right logger for identifying ideal locations in your building where
changes in lighting could result in cost savings up to 80%.
Utility Incentive Programs: How to Get More Money
Quickly and Easily
“Utility Incentive Programs: How to Get More Money Quickly
and Easily,” is aimed at making the process of applying for
and receiving energy efficiency incentives and rebates faster,
easier, and more rewarding. Authored by Carbon Lighthouse, an
energy firm that makes it profitable for commercial and industrial
buildings to eliminate their carbon footprint, the paper discusses
the two main types of incentive and rebate programs, how utility
efficiency program managers think, and how to use data to get
more incentive dollars for your projects.
Deploying Weather Stations: A Best Practices Guide
From the tropics to the poles, climate, agriculture and other
researchers rely on unattended research-grade, data logging
weather stations.
This paper provides field-proven tips and techniques for
installing research-grade weather stations in a variety of
environments.
Data Logger Basics
In today’s data-driven world of satellite uplinks, wireless
networks, and the Internet, it is common to hear the terms “data
logging” and “data loggers” and not really have a firm grasp of
what they are.
This guide will help you explore the wide world of electronic
data loggers, find out what they are and how they’re used for
building performance and environmental research.
Addressing Comfort Complaints With Data Loggers
This paper offers facility managers, HVAC contractors, and
others with valuable tips on how low-cost data loggers can be
used to validate temperature-related comfort complaints.
Monitoring Green Roof Performance with Weather
Stations
Data logging weather stations are the ideal tools for
documenting green roof performance. A weather station can
measure weather parameters such as rainfall, stormwater
runoff, temperature, relative humidity, wind speed, and solar
radiation. This paper explains how a weather station can be a
valuable component of a green roof project.
Using Data Loggers Beyond Equipment Scheduling
While data loggers are a great tool for identifying equipment-
scheduling opportunities in buildings, their usefulness far
exceeds just that one function. This paper discusses how the
use of inexpensive data loggers and some spreadsheet analysis
can provide all the evidence needed to make powerful building-
specific cases for saving money by replacing failed air-handler
economizers. It also describes how information from data
loggers can be used to accurately calculate the energy savings
that can be realized from variable frequency drives (VFDs) on
pumps and fans, supply air resets, and boiler lockouts
Monitoring Wetlands with Data Loggers: A Best
Practices Guide
While a variety of factors have decreased the number of
wetlands in the U.S. by half since 1950, many organizations are
restoring wetlands back to their original flourishing ecosystems.
To ensure success, it is necessary to monitor wetland factors
such as water level, temperature, and rainfall.
This paper provides field-proven best practices for configuring,
launching, and deploying portable data loggers in wetland
monitoring applications.
Finding Hidden Energy Waste with Data Loggers: 8
Cost-Saving Opportunities
The first step to reducing building energy costs is identifying
energy waste. Statistics on utility bills or name plates on
equipment, while useful, are not enough to identify what
practices and equipment are contributing to high energy use.
Portable data loggers can be used to obtain critical energy use
information in a wide range of commercial building types – from
manufacturing plants to office buildings.
This paper explains the kind of data logging equipment
you need to obtain information on energy consumption and
environmental conditions in commercial buildings.
Monitoring HVAC Performance with Data Loggers
This paper is for building operators and managers who have
the difficult job of providing comfortable working conditions
and coaxing aging mechanical equipment to operate at peak
performance while minimizing energy costs.
Other informational resources available from Onset:
Access our full resources library at:
www.onsetcomp.com/learning