Development of Air Quality Monitoring System in Closed EnvironmentTELKOMNIKA JOURNAL
For closed environment, the characteristic is that the confined space is small and it doesn't flow
with the outside world, it will produce nausea, dizziness, weakness and other symptoms if one stayed in
that environment for long time. For this, developing a monitoring system of air quality in closed
environment has theoretical significance and great value. In this paper, a modular design method is used
to design a closed air quality monitoring system, The air quality monitoring system is composed of a main
board and detection modules. When the measured closed environment is changed, it is only necessary to
add or reduce the corresponding detection module, which increases the flexibility of the system and the
convenience of later maintenance, and evaluation algorithm based on fuzzy mathematics is established.
The measurement and air quality evaluation experiments are carried out using the developed monitoring
system, The results show that the air quality evaluation algorithm can effectively evaluate the
environmental air quality, and the measurement accuracy of the environmental parameters can meet the
relevant standards.
Air Pollution Monitoring in India using Aeroqual Compact Air Quality Monitori...Carl Beck
Learn how a compact air quality monitoring system is being used to monitor ambient air pollution in India. The sensor-based air monitoring station delivers Near Reference air quality data at a third of the cost of traditional reference monitoring stations.
Benefits of Low-Cost Ambient Air Quality Monitoring SystemOizom
Low-cost Continuous Ambient Air Quality Monitoring System (CAAQMS) is compact, lightweight and cost-effective. It provides real-time high precision environment data, with geospatial and ubiquitous monitoring. Low-cost air quality sensors provide 360-degree ambient air monitoring for public awareness. The data can assist in encouraging community participation for air quality monitoring. It is the future of air monitoring in India.
Environment pollution is one of the core problems which is hampering the natural inhabitants. The most common examples of environment pollutions are massive emissions of Carbon-dioxide (CO2) gas, smoke from chimneys, which basically fall under Air pollution, and then there are also Sound pollution and Water pollution which adds to the list. In our project, the main objective is the measurement of the pollutants in nature and store the data in a “Cloud Server” which would be integrated with Raspberry pi so that, anyone can have access to read the data of various parameters which are responsible for environment pollution using laptops, computers, smartphones or any kind of smart devices through the internet.
• Why Important?
It is important for us to keep track of the pollution levels because once they cross the safe limits, it will be detrimental to our surroundings. Moreover, Dhaka is one of the most populated cities around the world, and this is why this measurement of Environment Pollution will come in handy as the system we are setting up will collect data and send it to store them in a cloud which would be sent to the authorities so that they can take the measures to control the damage.
• Utility (Service)
Cloud IoT platforms provides several kinds of services that are very useful. Cloud data storage system enables users to store data sent from different boards (like Arduino or Raspberry pi). The data can be accessed from anywhere around the world, so that they can be analyzed later for future purposes. The data collected is a real time scenario, so that people can see it on the website the condition of the environment by seeing the data and the responsible authority can compare these at different locations.
In our work so far, we have used Arduino, which is an open source electronic platform based on easy-to-hardware and software. Arduino boards can read inputs from a sensor and turn them into outputs by obeying the set of instructions given to the microcontroller on the board. This has been achieved by using the Arduino programming language and Arduino programming software.
The sole purpose of using Arduino as a medium and not directly send it to the cloud using Raspberry pi is because the sensors in Arduino are analogue but, raspberry pi has all digital ports. Arduino has both digital and analogue pins.
Development of Air Quality Monitoring System in Closed EnvironmentTELKOMNIKA JOURNAL
For closed environment, the characteristic is that the confined space is small and it doesn't flow
with the outside world, it will produce nausea, dizziness, weakness and other symptoms if one stayed in
that environment for long time. For this, developing a monitoring system of air quality in closed
environment has theoretical significance and great value. In this paper, a modular design method is used
to design a closed air quality monitoring system, The air quality monitoring system is composed of a main
board and detection modules. When the measured closed environment is changed, it is only necessary to
add or reduce the corresponding detection module, which increases the flexibility of the system and the
convenience of later maintenance, and evaluation algorithm based on fuzzy mathematics is established.
The measurement and air quality evaluation experiments are carried out using the developed monitoring
system, The results show that the air quality evaluation algorithm can effectively evaluate the
environmental air quality, and the measurement accuracy of the environmental parameters can meet the
relevant standards.
Air Pollution Monitoring in India using Aeroqual Compact Air Quality Monitori...Carl Beck
Learn how a compact air quality monitoring system is being used to monitor ambient air pollution in India. The sensor-based air monitoring station delivers Near Reference air quality data at a third of the cost of traditional reference monitoring stations.
Benefits of Low-Cost Ambient Air Quality Monitoring SystemOizom
Low-cost Continuous Ambient Air Quality Monitoring System (CAAQMS) is compact, lightweight and cost-effective. It provides real-time high precision environment data, with geospatial and ubiquitous monitoring. Low-cost air quality sensors provide 360-degree ambient air monitoring for public awareness. The data can assist in encouraging community participation for air quality monitoring. It is the future of air monitoring in India.
Environment pollution is one of the core problems which is hampering the natural inhabitants. The most common examples of environment pollutions are massive emissions of Carbon-dioxide (CO2) gas, smoke from chimneys, which basically fall under Air pollution, and then there are also Sound pollution and Water pollution which adds to the list. In our project, the main objective is the measurement of the pollutants in nature and store the data in a “Cloud Server” which would be integrated with Raspberry pi so that, anyone can have access to read the data of various parameters which are responsible for environment pollution using laptops, computers, smartphones or any kind of smart devices through the internet.
• Why Important?
It is important for us to keep track of the pollution levels because once they cross the safe limits, it will be detrimental to our surroundings. Moreover, Dhaka is one of the most populated cities around the world, and this is why this measurement of Environment Pollution will come in handy as the system we are setting up will collect data and send it to store them in a cloud which would be sent to the authorities so that they can take the measures to control the damage.
• Utility (Service)
Cloud IoT platforms provides several kinds of services that are very useful. Cloud data storage system enables users to store data sent from different boards (like Arduino or Raspberry pi). The data can be accessed from anywhere around the world, so that they can be analyzed later for future purposes. The data collected is a real time scenario, so that people can see it on the website the condition of the environment by seeing the data and the responsible authority can compare these at different locations.
In our work so far, we have used Arduino, which is an open source electronic platform based on easy-to-hardware and software. Arduino boards can read inputs from a sensor and turn them into outputs by obeying the set of instructions given to the microcontroller on the board. This has been achieved by using the Arduino programming language and Arduino programming software.
The sole purpose of using Arduino as a medium and not directly send it to the cloud using Raspberry pi is because the sensors in Arduino are analogue but, raspberry pi has all digital ports. Arduino has both digital and analogue pins.
IOT ENABLED EMBEDDED BASED REAL TIME AIR QUALITY MONITORING SYSTEMMOHAMMED FURQHAN
When we breathe polluted air pollutants get into our lungs; they can enter the bloodstream and be carried to our internal organs such as the brain. This can cause severe health problems such as asthma, cardiovascular diseases and even cancer and reduces the quality and number of years of life.
Pollution Monitoring System using Arduino and various gas sensorUtkarsh Jaiswal
Now-a-days air pollution is one of the most important concern of the world. Air pollution may evolve from anthropogenic or natural sources. Air pollutants of atmospheric substances like CO, CO2, SO2, NO2, and O3 suspended particulate matter (SPM), repairable suspended particulate matter (RSPM), and volatile organic compounds (VOC’s) have a great effect on the people health. Most of the major cities in developing countries and most cities of the developed countries are suffering from it. Thus to develop a real time air quality and pollution monitoring system is critical. We have developed an arduino based air pollution detector which combined a small-sized, minimum-cost sensor to an arduino micro-controller unit.
Air Quality Monitoring and Control System in IoTijtsrd
Air pollution that refers to the contamination of the air, irrespective of indoors or outside. A physical, biological or chemical alteration to the air in the atmosphere can be termed as pollution. It occurs when any harmful gases, dust, smoke enters into the atmosphere and makes it difficult for plants, animals, and humans to survive as the air becomes dirty. Proposed system considers pollution due to automobiles and provide a real time solution which is not just monitors pollution levels but also take into consideration control measures for reducing traffic and industrial zone in highly polluted areas. The solution is provided by a sensor based hardware module which can be placed along roads and plants. These modules can be placed on lamp posts and they transfer information about air quality wirelessly to cloud server. The proposed system also provides about air quality information through a mobile application which enables commuters to take up routes where air quality is good. Soe Soe Mon | Thida Soe | Khin Aye Thu "Air Quality Monitoring and Control System in IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26554.pdfPaper URL: https://www.ijtsrd.com/computer-science/embedded-system/26554/air-quality-monitoring-and-control-system-in-iot/soe-soe-mon
Air pollution monitoring system using mobile gprs sensors array pptSaurabh Giratkar
ppt This paper contain brief introduction to vehicular pollution, effect of increase in vehicular pollution on environment as well on human health. To monitor this pollution wireless sensor network (WSN) system is proposed. The proposed system consists of a Mobile Data-Acquisition Unit (Mobile-DAQ) and a fixed Internet-Enabled Pollution Monitoring Server (Pollution-Server). The Mobile-DAQ unit integrates a single-chip microcontroller, air pollution sensors array, a General Packet Radio Service Modem (GPRS-Modem), and a Global Positioning System Module (GPS-Module). The Pollution-Server is a high-end personal computer application server with Internet connectivity. The Mobile-DAQ unit gathers air pollutants levels (CO, NO2, and SO2), and packs them in a frame with the GPS physical location, time, and date. The frame is subsequently uploaded to the GPRS-Modem and transmitted to the Pollution-Server via the public mobile network. A database server is attached to the Pollution- Server for storing the pollutants level for further usage by various clients such as environment protection agencies, vehicles registration authorities, and tourist and insurance companies.
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
At the core of our technology are our next‑generation air quality monitors - the Clarity Node and Node-S. These nimble monitors are configured on our web-based deployment tool and installed in a matter of minutes. Hundreds to thousands of devices work together to form a scalable network of high density air quality measurement points.
At the core of our technology are our next‑generation air quality monitors - the Clarity Node and Node-S. These nimble monitors are configured on our web-based deployment tool and installed in a matter of minutes. Hundreds to thousands of devices work together to form a scalable network of high density air quality measurement points.
At the core of our technology are our next‑generation air quality monitors - the Clarity Node and Node-S. These nimble monitors are configured on our web-based deployment tool and installed in a matter of minutes. Hundreds to thousands of devices work together to form a scalable network of high density air quality measurement points.
At the core of our technology are our next‑generation air quality monitors - the Clarity Node and Node-S. These nimble monitors are configured on our web-based deployment tool and installed in a matter of minutes. Hundreds to thousands of devices work together to form a scalable network of high density air quality measurement points.
Polludrone is a fully integrated air quality monitoring system that delivers reference equivalent performance. Polludrone is a comprehensive solution to monitor all the important ambient environmental parameters related to air quality, noise, odor, weather, radiation, etc. By using external modules, meteorological parameters like wind speed, wind direction, rainfall, flood levels, and visibility can be monitored for ground-level weather data. Polludrone is a highly accurate yet cost-effective solution – measuring criteria pollutants to WHO air quality limits yet costing 10x less than a traditional station based on analyzer technology.
IOT ENABLED EMBEDDED BASED REAL TIME AIR QUALITY MONITORING SYSTEMMOHAMMED FURQHAN
When we breathe polluted air pollutants get into our lungs; they can enter the bloodstream and be carried to our internal organs such as the brain. This can cause severe health problems such as asthma, cardiovascular diseases and even cancer and reduces the quality and number of years of life.
Pollution Monitoring System using Arduino and various gas sensorUtkarsh Jaiswal
Now-a-days air pollution is one of the most important concern of the world. Air pollution may evolve from anthropogenic or natural sources. Air pollutants of atmospheric substances like CO, CO2, SO2, NO2, and O3 suspended particulate matter (SPM), repairable suspended particulate matter (RSPM), and volatile organic compounds (VOC’s) have a great effect on the people health. Most of the major cities in developing countries and most cities of the developed countries are suffering from it. Thus to develop a real time air quality and pollution monitoring system is critical. We have developed an arduino based air pollution detector which combined a small-sized, minimum-cost sensor to an arduino micro-controller unit.
Air Quality Monitoring and Control System in IoTijtsrd
Air pollution that refers to the contamination of the air, irrespective of indoors or outside. A physical, biological or chemical alteration to the air in the atmosphere can be termed as pollution. It occurs when any harmful gases, dust, smoke enters into the atmosphere and makes it difficult for plants, animals, and humans to survive as the air becomes dirty. Proposed system considers pollution due to automobiles and provide a real time solution which is not just monitors pollution levels but also take into consideration control measures for reducing traffic and industrial zone in highly polluted areas. The solution is provided by a sensor based hardware module which can be placed along roads and plants. These modules can be placed on lamp posts and they transfer information about air quality wirelessly to cloud server. The proposed system also provides about air quality information through a mobile application which enables commuters to take up routes where air quality is good. Soe Soe Mon | Thida Soe | Khin Aye Thu "Air Quality Monitoring and Control System in IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26554.pdfPaper URL: https://www.ijtsrd.com/computer-science/embedded-system/26554/air-quality-monitoring-and-control-system-in-iot/soe-soe-mon
Air pollution monitoring system using mobile gprs sensors array pptSaurabh Giratkar
ppt This paper contain brief introduction to vehicular pollution, effect of increase in vehicular pollution on environment as well on human health. To monitor this pollution wireless sensor network (WSN) system is proposed. The proposed system consists of a Mobile Data-Acquisition Unit (Mobile-DAQ) and a fixed Internet-Enabled Pollution Monitoring Server (Pollution-Server). The Mobile-DAQ unit integrates a single-chip microcontroller, air pollution sensors array, a General Packet Radio Service Modem (GPRS-Modem), and a Global Positioning System Module (GPS-Module). The Pollution-Server is a high-end personal computer application server with Internet connectivity. The Mobile-DAQ unit gathers air pollutants levels (CO, NO2, and SO2), and packs them in a frame with the GPS physical location, time, and date. The frame is subsequently uploaded to the GPRS-Modem and transmitted to the Pollution-Server via the public mobile network. A database server is attached to the Pollution- Server for storing the pollutants level for further usage by various clients such as environment protection agencies, vehicles registration authorities, and tourist and insurance companies.
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
At the core of our technology are our next‑generation air quality monitors - the Clarity Node and Node-S. These nimble monitors are configured on our web-based deployment tool and installed in a matter of minutes. Hundreds to thousands of devices work together to form a scalable network of high density air quality measurement points.
At the core of our technology are our next‑generation air quality monitors - the Clarity Node and Node-S. These nimble monitors are configured on our web-based deployment tool and installed in a matter of minutes. Hundreds to thousands of devices work together to form a scalable network of high density air quality measurement points.
At the core of our technology are our next‑generation air quality monitors - the Clarity Node and Node-S. These nimble monitors are configured on our web-based deployment tool and installed in a matter of minutes. Hundreds to thousands of devices work together to form a scalable network of high density air quality measurement points.
At the core of our technology are our next‑generation air quality monitors - the Clarity Node and Node-S. These nimble monitors are configured on our web-based deployment tool and installed in a matter of minutes. Hundreds to thousands of devices work together to form a scalable network of high density air quality measurement points.
Polludrone is a fully integrated air quality monitoring system that delivers reference equivalent performance. Polludrone is a comprehensive solution to monitor all the important ambient environmental parameters related to air quality, noise, odor, weather, radiation, etc. By using external modules, meteorological parameters like wind speed, wind direction, rainfall, flood levels, and visibility can be monitored for ground-level weather data. Polludrone is a highly accurate yet cost-effective solution – measuring criteria pollutants to WHO air quality limits yet costing 10x less than a traditional station based on analyzer technology.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Air pollution monitoring system using mobile gprs sensors arraySaurabh Giratkar
This paper contain brief introduction to vehicular pollution, effect of increase in vehicular pollution on environment as well on human health. To monitor this pollution wireless sensor network (WSN) system is proposed. The proposed system consists of a Mobile Data-Acquisition Unit (Mobile-DAQ) and a fixed Internet-Enabled Pollution Monitoring Server (Pollution-Server). The Mobile-DAQ unit integrates a single-chip microcontroller, air pollution sensors array, a General Packet Radio Service Modem (GPRS-Modem), and a Global Positioning System Module (GPS-Module). The Pollution-Server is a high-end personal computer application server with Internet connectivity. The Mobile-DAQ unit gathers air pollutants levels (CO, NO2, and SO2), and packs them in a frame with the GPS physical location, time, and date. The frame is subsequently uploaded to the GPRS-Modem and transmitted to the Pollution-Server via the public mobile network. A database server is attached to the Pollution- Server for storing the pollutants level for further usage by various clients such as environment protection agencies, vehicles registration authorities, and tourist and insurance companies.
What is the wize technology of Low Power Wide Area Network (LPWAN) technology?
The development of wireless communication network technology has driven the development of scaled-up networking for thing-connected networks, which is an inherent development need of Low Power Wide Area Network (LPWAN).
Wize definition
Wize technology is a Low Power Wide Area Network (LPWAN) technology derived from the European standard EN-13757 Wireless M-bus. Wize is an IoT standard defined by the Wize Consortium and is mainly oriented to applications such as wireless metering, smart cities, and industrial IoT.
Best practices and technologies to overcome barriers to implementing smart wa...MiDo Srl
This paper reports the results of four years of pilot projects smart metering and monitoring of water networks in different scenarios and application environments, made with various public and private companies involved in the distribution of water resources
We want to prove that the applicability and economic sustainability of metering systems are only possible if you adopt open systems, versatile, interoperable, self-powered and complete.
Open systems, versatile, interoperable, self-powered and complete in other word means consisting of:
1. devices that can be connected to any type of mechanical counter or probes (pressure temperature etc.) via radio or wired using standardized protocols,
2. self-powered with a lifetime of 10 years at least,
3. complete with communication interfaces, and able to transmit the data autonomously to
4. data management systems provided as Software as a service (cloud computing service) or that can be interfaced to existing systems management software.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
iAQMs - intelligent air quality monitoring system.
1. Smart City - Air Challenge
Intelligent Air Quality Monitoring System (iAQMs)
2. Challenges deep-dive
Challenge 1
Diverse Urban
Environment
With huge population
and intense city
infrastructure, it
becomes very
challenging to have a
precise air quality data.
Challenge 2
Limited Air quality
monitoring station
Being on the track of
“Smart City”, we should
have sufficient raw data
available to make
advance and effective
urban environment
planning.
Challenge 3
Huge Capital per Station
1 cr is the rough cost to
have one real time Air
Quality monitoring
station. For having this
data sometime’s this
capital becomes
unjustifying.
3. Solution
iAQMs System
Aeron’s iAQMs System can be
deployed in dense networks to
monitor pollutants, particles and
noise pollution. It will provide real
time data which can be used in
identifying high pollution areas,
informing public related authorities
and identifying the source of
pollution.Not only measures Air and Noise pollution but also
gives weather updates near you.
5. Conceptual Schematic of
iAQMs System
Compact gas / pollutant,
particulate and noise sensors
for accurate and fast sensing
operations
Parameters like
temperature,
Pressure, humidity,
wind speed /
direction will give
you weather
conditions near you
6. Server / cloud
Municipal corporation
/ Public authority
Command centre
iAQMs installed in dense areas
will provide real time data to
authorities.
8. iAQMS at glance
● Easy to install and maintain
● Consumes very less power
● Operates in any environment conditions
● Data logging over cloud and on site
● Site specific customization is possible
● Easy to calibrate
● Comes with desktop software and mobile app
9. Gas /
Pollutants
Range
CO2
0-45000 ppm
SO2
0-100 ppm
O3
0-20 ppm
NO2
0-20 ppm
CO 0-1000 ppm
PM2.5
0-500ug/m3
PM10
0-1000ug/m3
ENV parameters Range
Air temperature -40 to 65 °C
Pressure 500 to 1150 mBar
Humidity 0% to 100% RH
Light Up to 20000 lux
Noise 134 db
Wind speed 1 - 300kmph
Wind Direction 0 - 360deg
Communication - GSM / GPRS and WiFi
Weight - ~ 4 Kg, Dimension - [LxWxH - 25cm x 12cm x 30cm]
Power options - 110/220V AC or 12V DC [Solar power pack optional]
Physical construct - Highly durable, IP6X category
10. Better updates
improves community
awareness on
environmental
conditions
Analytics will help
you with effective
traffic routing and
control.
Better urban
transportation
Tracking of industry emission and
integrating the environment details
for advanced warning systems.
11. Effective policy making for industries
by using analytics.
Early response to environmental
compliance of various industries.
It will help to take effective measure
to obey the pollution board laws.
12. On time updates of
environmental compliance will
help to deliver the project on
time.
Effective monitoring will help
to protect the nearby habitat
as well as the site.
13.
14. Grid view will give you
better visual understanding
of any locality means you
can easily identify hot
spots near you.
15. Perfect for air quality study
for Local / citizen scientific
research programs.
16. Key benefits
1. Identifying problems - real time analytics / immediately identify
hazardous situations in city and act accordingly.
2. Advance Urban Planning - Enhance your planning department with
advanced analytics tool.
3. Engage citizens - Connect your citizens and drive engagement in
mitigation campaigns with modern web tools / social media / mobile
apps.
4. Plan Interventions - Plan air quality improvement measures using a
holistic best practice database of past projects and their success.
5. Analyze success - Analyze the impact of your air quality intervention
projects with historical and real time data analytics and advanced
scientific ref. Model.