The document describes several Internet of Things (IoT)-enabled smart building monitoring and control solutions that use sensors, analytics, and automation to reduce human intervention in building management tasks. Examples include OptiNergy from SmartGreen, Cobundu, Davra, IOT Factory, BuildingIQ, 75F, Control Envy, Blue Pillar, eSightenergy, and Domognostics from Phoebe Innovations - all of which provide cloud-based platforms and software to monitor conditions, optimize performance, and automate building systems using IoT technologies. The solutions analyze data, generate reports and alerts, and in some cases automatically adjust building operations based
This document describes an energy management system called e3m that helps organizations analyze and reduce their energy consumption and costs. It can centrally manage meter data, key figures, and benchmarks from multiple properties to identify savings opportunities. A case study shows how e3m helped Migros, a large Swiss retailer, reduce its specific electricity consumption by 14.7% between 2002 and 2008 through centralized monitoring and control. The system is scalable and can integrate with other building management and enterprise systems.
Implementation of an Efficient Smart Home System using MQTTIRJET Journal
This document summarizes a research paper that proposes an efficient smart home system using MQTT (Message Queuing Telemetry Transport) protocol. It describes the system architecture which includes a home controller, community management system connected to cloud platforms. Sensors and devices in the home send data to the controller and community system, which then transmits it to cloud servers for remote monitoring and control. The paper evaluates MQTT and HTTP protocols for this system and concludes that MQTT is more suitable due to lower latency, energy consumption, and data traffic. The proposed system aims to automate home operations and provide additional smart services through integration with cloud computing.
The document discusses several key aspects of Internet of Things (IoT) systems including:
1. IoT devices and networks have heterogeneous requirements for data representation, visualization, and interaction both locally and remotely.
2. IoT systems interface the physical world through physical entities, sensors, and actuators, and require consideration of the deployment context.
3. Design of IoT devices and networks requires addressing functional requirements like sensing, actuation, and communication as well as non-functional requirements including energy, cost, regulations, and ease of use.
This document provides an introduction to building management systems (BMS). It defines a BMS as a computer-based system that controls and monitors a building's mechanical and electrical equipment. The document outlines the key components of a BMS, including central workstations, field devices, distributed control systems, and various hardware and software. It also discusses the functions of a BMS in controlling building operations, monitoring performance, and interacting with other systems.
Remote administration of bms through android applicationeSAT Journals
This document summarizes a research paper on remotely administering a Building Management System (BMS) through an Android application. It discusses how sensor data from a building is sent over GPRS to a server where it is stored in a database. An Android app allows remote control and monitoring of building parameters by communicating with the server over TCP/IP. The system uses a microcontroller-based Building Management Device to collect data from sensors and send it to the server via a GPRS modem. This allows centralized monitoring and control of building functions like lighting, temperature and security from any location.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document provides an overview of building management systems and the interdependencies between different building subsystem data sources. It discusses how building services like HVAC, lighting, and security systems are integrated at the design stage. Standard communication protocols like BACnet allow for data sharing and interoperability between different building automation systems. BACnet defines objects, properties, services and network layers to facilitate communication between devices. The large amounts of data generated from building subsystem meters and sensors can be analyzed to optimize building performance when stored and shared using open standard protocols.
Chapter 6 computer and controls systems within manufacturingN. A. Sutisna
This document discusses the role of computers and data communication systems in modern manufacturing organizations. It covers several topics:
1) The various roles of computers in manufacturing, from management systems to machine control. Data communication helps share crucial manufacturing data.
2) Programmable logic controllers (PLCs) are widely used for industrial control. Selection criteria for PLCs include programming language, inputs/outputs, and communication capabilities.
3) CNC and robot controllers often integrate PLCs and communicate with host computers for tasks like file transfers of design programs. Communication protocols help ensure accurate data transmission by detecting and correcting errors.
This document describes an energy management system called e3m that helps organizations analyze and reduce their energy consumption and costs. It can centrally manage meter data, key figures, and benchmarks from multiple properties to identify savings opportunities. A case study shows how e3m helped Migros, a large Swiss retailer, reduce its specific electricity consumption by 14.7% between 2002 and 2008 through centralized monitoring and control. The system is scalable and can integrate with other building management and enterprise systems.
Implementation of an Efficient Smart Home System using MQTTIRJET Journal
This document summarizes a research paper that proposes an efficient smart home system using MQTT (Message Queuing Telemetry Transport) protocol. It describes the system architecture which includes a home controller, community management system connected to cloud platforms. Sensors and devices in the home send data to the controller and community system, which then transmits it to cloud servers for remote monitoring and control. The paper evaluates MQTT and HTTP protocols for this system and concludes that MQTT is more suitable due to lower latency, energy consumption, and data traffic. The proposed system aims to automate home operations and provide additional smart services through integration with cloud computing.
The document discusses several key aspects of Internet of Things (IoT) systems including:
1. IoT devices and networks have heterogeneous requirements for data representation, visualization, and interaction both locally and remotely.
2. IoT systems interface the physical world through physical entities, sensors, and actuators, and require consideration of the deployment context.
3. Design of IoT devices and networks requires addressing functional requirements like sensing, actuation, and communication as well as non-functional requirements including energy, cost, regulations, and ease of use.
This document provides an introduction to building management systems (BMS). It defines a BMS as a computer-based system that controls and monitors a building's mechanical and electrical equipment. The document outlines the key components of a BMS, including central workstations, field devices, distributed control systems, and various hardware and software. It also discusses the functions of a BMS in controlling building operations, monitoring performance, and interacting with other systems.
Remote administration of bms through android applicationeSAT Journals
This document summarizes a research paper on remotely administering a Building Management System (BMS) through an Android application. It discusses how sensor data from a building is sent over GPRS to a server where it is stored in a database. An Android app allows remote control and monitoring of building parameters by communicating with the server over TCP/IP. The system uses a microcontroller-based Building Management Device to collect data from sensors and send it to the server via a GPRS modem. This allows centralized monitoring and control of building functions like lighting, temperature and security from any location.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document provides an overview of building management systems and the interdependencies between different building subsystem data sources. It discusses how building services like HVAC, lighting, and security systems are integrated at the design stage. Standard communication protocols like BACnet allow for data sharing and interoperability between different building automation systems. BACnet defines objects, properties, services and network layers to facilitate communication between devices. The large amounts of data generated from building subsystem meters and sensors can be analyzed to optimize building performance when stored and shared using open standard protocols.
Chapter 6 computer and controls systems within manufacturingN. A. Sutisna
This document discusses the role of computers and data communication systems in modern manufacturing organizations. It covers several topics:
1) The various roles of computers in manufacturing, from management systems to machine control. Data communication helps share crucial manufacturing data.
2) Programmable logic controllers (PLCs) are widely used for industrial control. Selection criteria for PLCs include programming language, inputs/outputs, and communication capabilities.
3) CNC and robot controllers often integrate PLCs and communicate with host computers for tasks like file transfers of design programs. Communication protocols help ensure accurate data transmission by detecting and correcting errors.
A Building Management System (BMS) offers greater visibility and control of energy use. A fully integrated solution can have up to 84% of a building’s energy consuming devices directly under its control
Embedded systems are specialized computer systems designed for specific tasks, often with strict requirements for performance, power consumption, and cost, and they are commonly used in devices like consumer electronics, vehicles, and industrial equipment. An embedded system combines both hardware and software components to perform dedicated functions in a larger mechanical or electrical system. Real-time operating systems are often used in embedded systems to ensure processes meet strict timing deadlines for functions like braking in a vehicle or medical monitoring equipment.
The document provides an overview of key elements and components of mechatronic systems. It discusses actuators, sensors, input/output signal conditioning and interfacing, digital control architecture, displays, intelligent systems, reconfigurable systems, autonomous supervisory control, artificial intelligence, knowledgebases, decision support systems, diagnosis, and faults, failures, and safety. The principal components of mechatronic systems are actuators, sensors, and a digital control system that integrates mechanical and electronic components to control an electromechanical process or device.
The document discusses fault detection and diagnostics in smart buildings. It notes that 5-20% of energy consumed in buildings is wasted due to faults and inefficiencies. Effective fault detection requires collecting data from buildings and using techniques like anomaly detection and fault isolation. Fault detection is also connected to tasks like preventative maintenance, optimization, and monitoring. The document provides examples of monitoring software solutions from companies like Bosch and Phoebe that analyze building data to detect faults and improve efficiency.
Embedded systems are increasingly integral parts of technology that perform dedicated functions with minimal user interaction. They are used in applications like GPS, ATMs, networking equipment, and more. Embedded systems combine dedicated hardware and software to provide specialized functionality. Their design must consider aspects like performance, cost, power consumption, and being integrated into other devices long-term. As embedded systems become connected to the internet, they will transform how people interact with devices and appliances. This will create an environment of ubiquitous connected devices that communicate for functions like remote monitoring and maintenance.
interface 9 is a powerful care facility management software platform with built-in systems integration. The onyl all-in-one solutions specifically designed for care facilities. interface 9 can replace all of your other disparate software management tools.
This document discusses the costs and cost savings associated with implementing Internet of Things (IoT) devices in building management systems. Traditional building management systems are costly to deploy, with average costs of $2.30 per square foot, limiting their use primarily to large buildings. New IoT devices provide a more cost effective solution, costing $5,000-$50,000 to deploy in a building compared to $250,000 for a traditional system in a 100,000 square foot building. IoT devices can save 10-25% on energy costs annually, with payback periods of 6 months to 2 years. Widespread deployment of IoT for building management can provide significant operational cost savings across portfolios of buildings.
1) The EU Code of Conduct requires data centers to commit to monthly power usage effectiveness (PUE) measurements and an energy savings action plan which often involves some level of infrastructure monitoring.
2) Effective monitoring at a fine-grained level can help data centers understand where energy savings can be made and drive continuous improvement over time.
3) Both IT and facility systems should be monitored coherently to efficiently manage a data center's environment, power usage, equipment utilization, and applications.
This document provides an overview of mechatronic design concepts and the need for specialized design methodologies for mechatronic systems. It discusses how mechatronic systems integrate mechanical, electrical, and software engineering principles. The document also describes functional decomposition and representation techniques useful for conceptual mechatronic design, including functional design trees and Petri net models. Overall, the document emphasizes that mechatronic design requires multidisciplinary collaboration and specialized modeling approaches to integrate different engineering domains.
Balancing BEMS - April 2, 2015 - Michigan Energy ForumAnnArborSPARK
This document discusses building energy management systems (BEMS). It provides information on:
- Why BEMS are used to realize significant energy waste reduction in commercial and residential structures through energy visualization, analysis, and business growth opportunities.
- How BEMS balance data collection and budgets. The document outlines presentations from energy management specialists on topics like BEMS, data mining and distribution, dashboards, and mobile access.
Mitsubishi scada software mc works64 dienhathe.vnDien Ha The
This document summarizes Mitsubishi's MC Works64 SCADA software. It provides highly functional monitoring and control capabilities together with Mitsubishi's factory automation products. Key features include creating advanced 2D and 3D graphics, configuring alarm monitoring and trend displays, developing scripts for automation processes, and integrating video monitoring. The software allows users to enhance visibility, reliability, and reduce engineering time for their monitoring and control systems.
Optimization of Fog computing for Industrial IoT applicationsSabelo Dlamini
The document proposes a scheme to optimize fog computing for industrial IoT applications using a Hidden Markov Model. It aims to enable fog-based systems to self-manage through self-configuration, self-optimization, and self-healing with minimal human intervention. The proposed scheme would use a Hidden Markov Model sitting in the edge node to automatically change the network state if performance indicators do not meet requirements. The states considered are distributed, hybrid, and centralized based on available resources and connectivity to optimize latency, network usage, and backhaul link consumption.
this ppt is about the information of factory data collection system.Various techniques are used to collect data from the factory floor. These technique range from clerical methods that requires workers to fill out paper forms that are later compiled, to fully automated methods that require no human participation.
An intelligent building incorporates information systems that support information flow, allow business automation, and enable flexible, simple, and economical monitoring and management. It integrates various building systems like energy management, lighting, security, and communications. The objectives of intelligent buildings are energy management and indoor comfort through features like flexibility, distributed memory, and sensors. Future trends include facilitating global communication networks and innovation in smart buildings and smart cities.
A Building Management System (BMS) centralizes and simplifies controlling, monitoring, and managing building services like heating, air conditioning, ventilation and more to achieve a safe, comfortable environment and energy savings. A BMS uses field devices, controllers and a central workstation to control equipment like air handlers, chillers and pumps. It provides features like user-friendly interfaces, alarm management, reporting, data logging, scheduling and remote connectivity. BMS benefits include improved indoor environment, maintenance savings, energy savings, consolidated facility control and improved management reporting.
Woodward, Inc. implemented an Industrial Internet of Things (IIoT) solution using PTC's ThingWorx platform to address challenges around lack of process for acting on operational machine data, manual tasks, and database synchronization issues. The solution involved leveraging existing PTC technologies and developing a Manufacturing Information System (MIS) integrated with manufacturing equipment. Benefits included improved training certification tracking, calibration compliance, access to work instructions, and more informed decision making through analytics. This led to enhanced quality, efficiency, and productivity.
ABC Manufacturing used ThingWorx Analytics to automate advanced analytics on factory data and gain real-time operations visibility. Challenges of large, complex data volumes and inability to use real
Accelerating the development of AI-enabled Digital Twins.pptxAntonino Sirchia
Employees Comfort measurement in offices is really important to increase the productivity of the teams.
Digital Twins enable Building Managers to interact with building 3D models, monitor environmental data, implement cost savings sustainable models and create what-if simulation scenarios.
During this talk a real world use case of Digital Twin implementation will be presented deep diving on the architectural choices and considerations that made the implementation fast and easy only through Open source solutions.
The document discusses the key stages in the IoT product life cycle: design, deployment, ongoing management, and decommissioning. It notes that design is the most important stage as developers must consider requirements for all subsequent stages to ensure ease of support. Deployment involves proof-of-concepts, pilots and commercial roll-out and requires access by multiple stakeholders. Ongoing management, the longest stage, allows remote monitoring, maintenance and updates. Decommissioning is often overlooked but properly planning for end-of-life supports transitioning to new models.
IBMS IN HIGH RISE BUILDINGS (HVAC AND LIGHTING) COST OPTIMIZATIONIRJET Journal
This document discusses the optimization of HVAC and lighting costs in high-rise buildings using integrated building management systems (IBMS). It begins with an abstract introducing the use of internet-connected sensor networks and cloud technologies for intelligent building management. The document then reviews the objectives and methodology of the study, provides a literature review of relevant IBMS technologies and case studies of high-rise buildings employing optimized IBMS frameworks. Key components of IBMS discussed include HVAC, lighting, security, fire detection and individual building case studies analyzing implemented systems.
A Building Management System (BMS) offers greater visibility and control of energy use. A fully integrated solution can have up to 84% of a building’s energy consuming devices directly under its control
Embedded systems are specialized computer systems designed for specific tasks, often with strict requirements for performance, power consumption, and cost, and they are commonly used in devices like consumer electronics, vehicles, and industrial equipment. An embedded system combines both hardware and software components to perform dedicated functions in a larger mechanical or electrical system. Real-time operating systems are often used in embedded systems to ensure processes meet strict timing deadlines for functions like braking in a vehicle or medical monitoring equipment.
The document provides an overview of key elements and components of mechatronic systems. It discusses actuators, sensors, input/output signal conditioning and interfacing, digital control architecture, displays, intelligent systems, reconfigurable systems, autonomous supervisory control, artificial intelligence, knowledgebases, decision support systems, diagnosis, and faults, failures, and safety. The principal components of mechatronic systems are actuators, sensors, and a digital control system that integrates mechanical and electronic components to control an electromechanical process or device.
The document discusses fault detection and diagnostics in smart buildings. It notes that 5-20% of energy consumed in buildings is wasted due to faults and inefficiencies. Effective fault detection requires collecting data from buildings and using techniques like anomaly detection and fault isolation. Fault detection is also connected to tasks like preventative maintenance, optimization, and monitoring. The document provides examples of monitoring software solutions from companies like Bosch and Phoebe that analyze building data to detect faults and improve efficiency.
Embedded systems are increasingly integral parts of technology that perform dedicated functions with minimal user interaction. They are used in applications like GPS, ATMs, networking equipment, and more. Embedded systems combine dedicated hardware and software to provide specialized functionality. Their design must consider aspects like performance, cost, power consumption, and being integrated into other devices long-term. As embedded systems become connected to the internet, they will transform how people interact with devices and appliances. This will create an environment of ubiquitous connected devices that communicate for functions like remote monitoring and maintenance.
interface 9 is a powerful care facility management software platform with built-in systems integration. The onyl all-in-one solutions specifically designed for care facilities. interface 9 can replace all of your other disparate software management tools.
This document discusses the costs and cost savings associated with implementing Internet of Things (IoT) devices in building management systems. Traditional building management systems are costly to deploy, with average costs of $2.30 per square foot, limiting their use primarily to large buildings. New IoT devices provide a more cost effective solution, costing $5,000-$50,000 to deploy in a building compared to $250,000 for a traditional system in a 100,000 square foot building. IoT devices can save 10-25% on energy costs annually, with payback periods of 6 months to 2 years. Widespread deployment of IoT for building management can provide significant operational cost savings across portfolios of buildings.
1) The EU Code of Conduct requires data centers to commit to monthly power usage effectiveness (PUE) measurements and an energy savings action plan which often involves some level of infrastructure monitoring.
2) Effective monitoring at a fine-grained level can help data centers understand where energy savings can be made and drive continuous improvement over time.
3) Both IT and facility systems should be monitored coherently to efficiently manage a data center's environment, power usage, equipment utilization, and applications.
This document provides an overview of mechatronic design concepts and the need for specialized design methodologies for mechatronic systems. It discusses how mechatronic systems integrate mechanical, electrical, and software engineering principles. The document also describes functional decomposition and representation techniques useful for conceptual mechatronic design, including functional design trees and Petri net models. Overall, the document emphasizes that mechatronic design requires multidisciplinary collaboration and specialized modeling approaches to integrate different engineering domains.
Balancing BEMS - April 2, 2015 - Michigan Energy ForumAnnArborSPARK
This document discusses building energy management systems (BEMS). It provides information on:
- Why BEMS are used to realize significant energy waste reduction in commercial and residential structures through energy visualization, analysis, and business growth opportunities.
- How BEMS balance data collection and budgets. The document outlines presentations from energy management specialists on topics like BEMS, data mining and distribution, dashboards, and mobile access.
Mitsubishi scada software mc works64 dienhathe.vnDien Ha The
This document summarizes Mitsubishi's MC Works64 SCADA software. It provides highly functional monitoring and control capabilities together with Mitsubishi's factory automation products. Key features include creating advanced 2D and 3D graphics, configuring alarm monitoring and trend displays, developing scripts for automation processes, and integrating video monitoring. The software allows users to enhance visibility, reliability, and reduce engineering time for their monitoring and control systems.
Optimization of Fog computing for Industrial IoT applicationsSabelo Dlamini
The document proposes a scheme to optimize fog computing for industrial IoT applications using a Hidden Markov Model. It aims to enable fog-based systems to self-manage through self-configuration, self-optimization, and self-healing with minimal human intervention. The proposed scheme would use a Hidden Markov Model sitting in the edge node to automatically change the network state if performance indicators do not meet requirements. The states considered are distributed, hybrid, and centralized based on available resources and connectivity to optimize latency, network usage, and backhaul link consumption.
this ppt is about the information of factory data collection system.Various techniques are used to collect data from the factory floor. These technique range from clerical methods that requires workers to fill out paper forms that are later compiled, to fully automated methods that require no human participation.
An intelligent building incorporates information systems that support information flow, allow business automation, and enable flexible, simple, and economical monitoring and management. It integrates various building systems like energy management, lighting, security, and communications. The objectives of intelligent buildings are energy management and indoor comfort through features like flexibility, distributed memory, and sensors. Future trends include facilitating global communication networks and innovation in smart buildings and smart cities.
A Building Management System (BMS) centralizes and simplifies controlling, monitoring, and managing building services like heating, air conditioning, ventilation and more to achieve a safe, comfortable environment and energy savings. A BMS uses field devices, controllers and a central workstation to control equipment like air handlers, chillers and pumps. It provides features like user-friendly interfaces, alarm management, reporting, data logging, scheduling and remote connectivity. BMS benefits include improved indoor environment, maintenance savings, energy savings, consolidated facility control and improved management reporting.
Woodward, Inc. implemented an Industrial Internet of Things (IIoT) solution using PTC's ThingWorx platform to address challenges around lack of process for acting on operational machine data, manual tasks, and database synchronization issues. The solution involved leveraging existing PTC technologies and developing a Manufacturing Information System (MIS) integrated with manufacturing equipment. Benefits included improved training certification tracking, calibration compliance, access to work instructions, and more informed decision making through analytics. This led to enhanced quality, efficiency, and productivity.
ABC Manufacturing used ThingWorx Analytics to automate advanced analytics on factory data and gain real-time operations visibility. Challenges of large, complex data volumes and inability to use real
Accelerating the development of AI-enabled Digital Twins.pptxAntonino Sirchia
Employees Comfort measurement in offices is really important to increase the productivity of the teams.
Digital Twins enable Building Managers to interact with building 3D models, monitor environmental data, implement cost savings sustainable models and create what-if simulation scenarios.
During this talk a real world use case of Digital Twin implementation will be presented deep diving on the architectural choices and considerations that made the implementation fast and easy only through Open source solutions.
The document discusses the key stages in the IoT product life cycle: design, deployment, ongoing management, and decommissioning. It notes that design is the most important stage as developers must consider requirements for all subsequent stages to ensure ease of support. Deployment involves proof-of-concepts, pilots and commercial roll-out and requires access by multiple stakeholders. Ongoing management, the longest stage, allows remote monitoring, maintenance and updates. Decommissioning is often overlooked but properly planning for end-of-life supports transitioning to new models.
IBMS IN HIGH RISE BUILDINGS (HVAC AND LIGHTING) COST OPTIMIZATIONIRJET Journal
This document discusses the optimization of HVAC and lighting costs in high-rise buildings using integrated building management systems (IBMS). It begins with an abstract introducing the use of internet-connected sensor networks and cloud technologies for intelligent building management. The document then reviews the objectives and methodology of the study, provides a literature review of relevant IBMS technologies and case studies of high-rise buildings employing optimized IBMS frameworks. Key components of IBMS discussed include HVAC, lighting, security, fire detection and individual building case studies analyzing implemented systems.
The document provides an overview of NICE's contact center and IP telephony solutions. It describes NICE Perform, a standard software package that includes modules for interaction monitoring, reporting, rules management and more. It also outlines NICE's multi-layered architecture, including applications, engines and capture layers. Additionally, it covers the company's recording capabilities like liability, interaction-based, quality assurance and record-on-demand, as well as its use of rules engines and integrated components like loggers, storage centers and interaction centers.
Living objects network performance_management_v2Yoan SMADJA
LivingObjects provides network management software solutions to telecommunications companies. It was originally developed for SFR, a major French telecom provider, and has since been commercialized as generic product. The software suite helps technicians optimize network performance and quality of service for fixed and mobile networks through data collection, processing, and visualization tools. LivingObjects has 35 employees and is headquartered in Toulouse, France.
Video analytics software monitors real-time video from CCTV cameras to enhance security surveillance of people and objects. It can help automate monitoring and detect suspicious activity. Common applications include constant monitoring for intrusions and identifying license plates. Emerging technologies may improve digital capabilities, data storage, system integration, and the interpretation of video through software. When selecting CCTV vendors, organizations should consider criteria like experience, technical support, and cost.
The data revolution promised that data would be available anywhere at any time, and now that promise is starting to be fulfilled. Recently, some truly remarkable industrial projects have demonstrated new possibilities for data visualization and system architectures. These projects all leverage the Ignition Perspective Module, which makes it easier than ever to design mobile-responsive applications and get more data to more people.
In this upcoming webinar, see the solutions that innovative professionals in a variety of industries are building with the Ignition industrial application platform, the Ignition Perspective Module, and other modern technologies. Find out what’s possible today for organizations like yours!
• See how virtual reality and 3D imaging can be integrated with control systems
• Find out how monitoring systems can have greater speed, depth, and versatility
• Learn how it’s possible to affordably build intelligent systems with full bidirectional control
• Discover simple-to-use tools for building mobile industrial applications in HTML5
• And more!
Presentatiestandaard nevap 28 juni 2019 property technologyDWA
This document discusses digital twins and smart buildings. It defines a digital twin as a virtual representation of a physical asset that can monitor performance, detect inefficiencies, diagnose issues, make adjustments, and alert staff. Empathic or smart buildings aim to deliver better sustainability, wellbeing, productivity and costs through features like HVAC control, lighting management, occupancy monitoring and leak detection. Truly smart buildings also utilize indoor location systems, room reservations, consumption monitoring and elderly care systems. The value of digital twins and smart contracts is explored through a case study on automatically resolving tenant complaints. Key aspects of digital twin implementation include modularity, scalability, interconnectivity, standardization, data quality and organizational accessibility.
Kent Melville and Annie Wise from Inductive Automation, and water/wastewater controls professionals Henry Palechek and Jason Hamlin, cover 10 steps for building a sustainable SCADA system that survives and even thrives using only your operational expenditure budget.
You'll learn about:
• What type of hardware and operating systems to use
• Utilizing smart devices and MQTT
• The advantages of server-centric architecture and web-based deployment
• Rapid development with templates and UDTs
• Powerful alarming and reporting tools
• And more
Kent Melville and Annie Wise from Inductive Automation, and water/wastewater controls professionals Henry Palechek and Jason Hamlin, cover 10 steps for building a sustainable SCADA system that survives and even thrives using only your operational expenditure budget.
You'll learn about:
• What type of hardware and operating systems to use
• Utilizing smart devices and MQTT
• The advantages of server-centric architecture and web-based deployment
• Rapid development with templates and UDTs
• Powerful alarming and reporting tools
• And more
In the era of digital transformation, the concept of Digital Twins has emerged as a revolutionary approach to managing and optimizing the lifecycle of physical assets, systems, and processes. This talk delves into the transformative potential of Digital Maintenance in the Digital Twin Era, highlighting the seamless integration of digital replicas with real-world operations to foster unprecedented levels of efficiency, predictability, and sustainability in maintenance practices. We will explore how Digital Twins serve as dynamic, real-time reflections of physical assets, allowing for meticulous monitoring, analysis, and simulation. Through vivid examples, we'll demonstrate the benefits of this paradigm, such as predictive maintenance, which leverages data analytics and machine learning to anticipate failures and optimize maintenance schedules, thereby reducing downtime and extending asset lifespan. Further, the talk will showcase the role of Digital Twins in facilitating remote maintenance operations. By providing a comprehensive, virtual view of assets, maintenance professionals can perform diagnostics and identify issues without being physically present, enhancing safety and reducing response times. We'll also explore the environmental benefits of Digital Maintenance within the Digital Twin framework. By optimizing maintenance schedules and operations, organizations can significantly reduce their carbon footprint and resource consumption, contributing to more sustainable industrial practices. Finally, the presentation will highlight case studies from various industries, including manufacturing, energy, and transportation, where the adoption of Digital Twins has led to substantial cost savings, improved operational efficiency, and enhanced decision-making processes. These examples will illustrate the tangible value and competitive advantage that Digital Maintenance in the Digital Twin Era offers to forward-thinking organizations.
This is just a small glimpse of how we can apply IOT in a steel plant(eg. SAIL) For more in depth analysis and application consultancy ping me at
paragjyotiborah1993@gmail.com
Switch Automation provides energy management software to help reduce costs and improve sustainability. Their previous solution required extensive time and resources. They partnered with FreezePro Software to develop a new cloud-based platform using Microsoft Azure. This allows users to remotely access and automate data collection from sensors to generate automated reports and analyze buildings from any location. The new system provides real-time reporting and analysis across platforms while minimizing human resource needs. Switch Automation saw successful results including improved property ROI analysis and automated, cross-platform energy management.
The EcoSteer software platform is designed to meet current business needs for monitoring smart devices and sensors while having a flexible architecture to accommodate future requirements. It is open, flexible, scalable and affordable. The core platform allows for multi-site, multi-user energy and environmental monitoring. Planned extensions include multi-tenancy and improved data analysis. Partners can help customers focus on managing energy and facilities while specialists provide solutions rather than a single proprietary vendor.
RICE INDUSTRY AUTOMATION TECHNIQUE USING IoT WITH RASPBERRY PI AND PHYTON LAN...IRJET Journal
This document discusses using IoT technology and a Raspberry Pi processor to automate a small-scale rice plant. Specifically, it involves:
1. Connecting sensors and actuators like motors and valves in the rice plant to a Raspberry Pi controller programmed using Python.
2. Connecting the Raspberry Pi to the cloud-based Ubidots platform to monitor and control the rice plant remotely.
3. Developing a dashboard in Ubidots to visualize sensor data and allow remote control of the rice plant equipment through toggling virtual switches.
4. Testing the system by running the Python code to communicate between the hardware, Raspberry Pi, and Ubidots cloud platform for remote monitoring
The document discusses Siemens' MindConnect technology and products. MindConnect allows for seamless integration between machines, data systems, and cloud applications. It collects data from sensors and transmits it to the cloud for analysis and storage, enabling businesses to optimize operations. Two MindConnect products highlighted are the Nano, a small yet powerful device, and the 2040/2020 platform, which can process large amounts of data in real-time.
The document discusses 5G networks and Internet of Things (IoT) architecture. For 5G, it describes the key requirements of ultra-high radio speed, ultra-low latency, and massive connectivity. This will require redefining cloud-RAN/fronthaul architecture with distributed 5G cores and packet-based fronthaul to handle high traffic loads. For IoT, it discusses the growth of the market and challenges around standards, security and privacy, and monetization. It provides an overview of key platform architectures from Microsoft, AWS, and Google for IoT. The biggest challenge remains developing solutions that can scale to handle the massive number of IoT devices connecting to 5G networks.
Similar to VET4SBO Level 2 module 6 - unit 3 - v1.0 en (20)
Este documento proporciona instrucciones para usar la plataforma de aprendizaje en línea y las aplicaciones móviles del proyecto DIGITOUR para formadores. Explica cómo registrarse, acceder a los cursos y módulos, editar el contenido didáctico, gestionar las preguntas de autoevaluación, y utilizar las aplicaciones móviles compatibles con Android e iOS. Además, proporciona enlaces y contactos adicionales para obtener más información sobre el proyecto y recursos.
Este documento proporciona una visión general de la plataforma de aprendizaje en línea DIGITOUR, que incluye instrucciones para acceder a la plataforma en línea y a las aplicaciones móviles, registrarse y matricularse en módulos, y obtener acceso a material didáctico y preguntas de autoevaluación en varios idiomas. También proporciona enlaces a la página web del proyecto, la plataforma de enseñanza en línea y las aplicaciones móviles para Android e iOS.
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1. ECVET Training for Operatorsof IoT-enabledSmart Buildings (VET4SBO)
2018-1-RS01-KA202-000411
Level 2
Module 6: Enhanced automation and reduction of
human intervention
Unit 6.3: Examples of commercial solutions (simple
cases)
2. Outline
1. Examples of existing and emerging IoT-enabled building
monitoring and control solutions
– Type of analytics and subsequent decision-making intelligence
provided by IoT-enabled platforms
2. Demonstration of operation of the IoT-enabled platforms and
solutions
– Reducing human intervention, however,
– Building operator intervening and making decisions where
necessary
3. Outline
1. Examples of existing and emerging IoT-enabled building
monitoring and control solutions
– Type of analytics and subsequent decision-making intelligence
provided by IoT-enabled platforms
2. Demonstration of operation of the IoT-enabled platforms and
solutions
– Reducing human intervention, however,
– Building operator intervening and making decisions where
necessary
4. OptiNergy™ from SmartGreen [1]
“An innovative cloud-based platform that applies advanced IoT technology,
machine learning and big data analytics to detect equipment failures and
energy waste in real-time and automatically adjust system parameters to
optimize performance”
[1] https://www.smartgreen.co/
5. OptiNergy™ Features
• Automated Fault Detection, enabling predictive maintenance and
detecting energy waste events
– detect and adjust equipment failures and energy waste
• Automatic monitoring and optimisation of energy consumption and
performance
• Automatic adjustment and optimisation of air quality and room
temperature
• Monitoring and delivering of insights on system performance and space
utilisation
6. OptiNergy™ SMART FEEL and SMART IoT KIT
SmartFeel is a mobile app that enables
users to control their immediate
environment, such as
room temperature and humidity.
The Smart IoT Kit is a hardwareand software
sensor kit that can be used to automatically
monitor a building’s room temperature,
humidity, air quality, space utilisation and
more.
7. OptiNergy™ Software Platform
1. Administration menu, listing
functionalities
2. Configuration panel, where
user can define parameters
and obtain information on
visuals, for the specific menu
selection
3. Main content area, visualising
the menu selection, based on
configuration in the top
panel. The picture illustrates
the overview of all
equipment and visualisation
of pre-defined levels on the
measurements
1
2
3
8. OptiNergy™ Software Platform
• Optimisation
functionality, where
the user configures
operation based on
preference of
optimisation
parameters
12. COBUNDUTM IoT cloud platform [2]
• Monitors ambient conditions usage for occupants satisfaction
• Provides seamless experiences based on real-time data
• Manages big data through analytics, towards improved
performance
• Offers big data storage, processing and analytics through a
cloud service
[2] https://www.cobundu.com/
13. COBUNDUTM IoT cloud platform [2]
• Easily configurableand scalable, allowing adaptation,as the
needs of the building change
• Offers device management, data visualisationand prediction
analytics
– captures and manages data from dispersed devices, visualises
through rich reports and dashboards and performs predictions
through optimisation modelling for user experience and resource
usage
[2] https://www.cobundu.com/
14. COBUNDUTM IoT cloud platform
1. Integrated data
sources, either through
IoT gateways or
through other
communication
protocols, including
Web APIs
2. Data analysis and API
for input/output of
data and visualisations
3. Integration with third-
party data and services
1 2 3
15. DavraTM [3] - Overview
1. Administration
menu
2. Main content area
for data and
visualisations, with
detailed views at
the bottom
3. Details about
selected things in
the main content
area
1 2
[3] https://davra.com/
3
16. DavraTM - Building Maintenance
• Energy, facilities
and maintenance
management
• HVAC and building
control solutions
17. DavraTM - Safety & Security
• Building safety and
security
monitoring using
video, audio, and
sensor
technologies
18. DavraTM - Building Utilities
• Water usage,
lighting usage, gas,
and electricity
monitoring for
industrial and
enterprise
buildings
19. DavraTM - Smart Parking
• Single deck, multi-deck
and outside parking
monitoring based on the
latest IoT
technology and sensors
20. DavraTM - Smart Environment
• Temperature,
humidity and other
environment
parameters
monitoring and
visualisation
21. DavraTM - Occupants safety
• Cameras performing
surveillance and
analysis of image data
for the detection of
anomalies and
incidents
22. DavraTM - Analytics
• Implementation of
real-time analytics
• Also allows coding
for the processing
of the data and
the manipulation
of the visual
graphs
23. IOT FACTORY - Smart Building Solutions [4]
IOT Software Platform
• Open and documented IOT platform, allowing the integration of any
type of IOT sensor, through communication networks like LORAWAN,
NB-IOT, M2M, SigFox, Wi-Fi, BLE
• Completely configurable by its users
• Allows treatments/processing on the collected data, creation of custom
reports and dashboards, definition of rules for the generation of
notifications and alerts
[4] https://iotfactory.eu/products/software-platform/
24. IOT FACTORY - Smart Building Solutions [4]
IOT Software Platform
• Allows integration through documented APIs (MQTT, JSON, FTP, etc.)
• Accompanied by a mobile application (iOS, Android), which is available
for field users
• Offers the possibility to operate it from a secure cloud environment or
on-premise provided that the required hardware is purchased and
installed
[4] https://iotfactory.eu/products/software-platform/
25. IOT FACTORY - Smart Building Solutions
• Management of air quality, optimisation of workspace usage, securing of places
• Monitoring of building equipment to limit breakdowns, reduce intervention times
and extend their service life
• Measurement of energy consumption:Electricity, Gas, Water, Air Conditioning, etc.
• Data analysis based on user configurable rules. Generation of relevant information
and accurate alerts
• Offers more than 50 widgets allowing the user to build its own reports and custom
dashboards
26. IOT FACTORY - Smart Building Solutions
1. Administration menu
to select functionality
2. Sub-menu allowing
more granularity in the
selection
3. Main contentof
selections with options
for configuration and
selection/visualisation
of details
1
2
3
27. IOT FACTORY - Smart Building Solutions
IOT Data Processing& Alerts
• Allowsdefining the rules of
processing of the datathrough an
editor, using simple or complex
formulas
• Offers configurableaggregation
and data consolidation
• Configurablegenerationof alerts
based on rules. Classifying alerts
based on their level of urgency
and type and distributionat pre-
defined intervals
• Offers management of the life
cycle of an alert (read status,
acknowledgment, closure of an
alert)
28. IOT FACTORY - Smart Building Solutions
Dashboards & Reports
• Contains more than 50
widgets allowing to
configure own
dashboards and reports
• Graphs, gauges, tables,
list of alerts, images,
videos, PDF documents,
notes, SCADA
representation, map or
plan view
• Reports are available on
the web / mobile, or in
PDF or CSV format
29. IOT FACTORY - Smart Building Solutions
Maps & Geolocation Services
• Allows mapping of sensors and
associated resources
• Powerful Geofencing capabilities,
with overlays of other geolocated
data and custom maps.
• Supports many geolocation
sources, such as GPS geolocation,
geolocation of the antenna used
for data communication, LBS
position estimation, declarative
static location
30. IOT FACTORY - Smart Building Solutions
Open API for Easy Integrations
• Integrate IoT data into
own ERP, BMS (Building
Management System)
or WMS (Warehouse
Management System)
• Develop own web/mobile
applications. APIs are
documented, provided with
sample source code and
interactive tests
• Integration solutions based
on JSON, MQTT, FTP, as well
as standard integrations with
Network Servers on the
market
31. BuildingIQ Solutions [5]
• BuildingIQ’s 5i Platform uses energy intelligence to optimize energy,
improve operations, and increase tenant comfort in a wide range of
buildings
• Offers services like ticket management, retro-commissioning, closed
loop control that tunes building’s HVAC settings every four hours
• Data capture and analysis, modelling, measurement & verification,
control and human expertise
[5] https://buildingiq.com/solutions/
32. BuildingIQ Solutions [5]
• BuildingIQ collaborates with the building operators to build customised
solutions. They follow the “You know your building, we know data”
• Capabilities in data ingestion, aggregation, monitoring, trending,
predictive analytics, visualization, automation and optimization of HVAC
energy usage and consumption
• Human expertise is used together with data analytics to provide the
basis for identifying operational and equipment anomalies
[5] https://buildingiq.com/solutions/
33. BuildingIQ Solutions - Features
• Visualisation: understanding where the energy is used, or misused.
Deep metering, DOE modelling and analysis offers a SaaS solution that
quickly identifies outliers and helps measure the impact of work
• Big data, AI driven re-commissioning and managed continuous
commissioning help tune and operate buildings
34. BuildingIQ Solutions - Features
• Operations: deep analytics and diagnosing issues, offering actionable
decisions. From data-driven project work to smart monitored
commissioning based on deep analytics
• 24/7 optimised control, in-built measurement & verification and
demand response. Usage of forward looking models for predictive
analytics and increase in comfort
• Predictive control: Use of AI to optimise energy efficiency and building
operations automatically
38. 75fi Solutions [6]
• 75F® Occupant App™ offers zone control functionality to the user
• Occupants can tailor their space with zone-specific controls for
temperature and lighting
• Available for iPhone and Android
[6] https://www.75f.io/solutions
39. 75fi Solutions
Occupant lighting control: turn lights on and off, or adjust
dimming settings from 0-100%
Occupant temperature control: check the current
temperature and adjust to desired temperature
40. 75fi Solutions
Occupant feedback: users are able to rate and provide text message feedback
about comfort levelsin their environment,complete with photo uploads,
allowingquick and easy remote insightsfor buildingowners and facility
managers to be responsive in the event of equipmentissues or other
workspace environmentissues.
Geofencing: sense occupants approachinga defined area,
anticipatetheir arrival and pre-conditiontheir space to meet
individualpreferences. Geofencing may also be used to
measure and manage occupancy within facilities.
41. Control Envy [7]
• Monitor, analyse, and control anything, from single rooms to smart
buildings, with Control Envy Dashboard and Control App for web and
mobile
• Niche IoT applications offer deep features, but do not work outside a
limited set of components
• Control Envy solution provides an attractive user interface, focusing on
usability
[7] https://www.controlenvy.com/
42. Control Envy [7]
• It is also informative, with simple graphs, as well as detailed line reports
and data visualisations
• The solution is customisable and allows building on top of the
dashboard and the control app
• Offers a full audit rail to track problems when they appear
• The app is secure with all components being protected with end-to-end
encryption
[7] https://www.controlenvy.com/
43. Control Envy
• 3D visualisations
• Mobile app
interface with
graphical
representationof
data
• Dashboard for
easy access to
summaries of
information
• Control panel
44. BLUE PILLAR [8]
• THE ENERGY THINGS® platform, which provides tools to integrate devices and follow
energy patterns
[8] http://www.bluepillar.com/aurora-energy-network-of-things-platform
45. eSightenergy [9]
Energy Monitoring Dashboard Software
• Displays energy-related data in an engaging, graphical format to simplify
energy monitoring and present key information at a glance
• Highlights exceptions and trends in energy data
• Simplifies the navigation of multiple site locations into one graphical
interactive screen with Maps
• Customise the dashboard to focus on own responsibilities
• Dashboards are web based and can be accessed via any browser
[9] https://www.esightenergy.com/esight-platform-2/dashboards-2/
46. eSightenergy - eSight ENVI Solution
• The ENVI (Energy Visualisation)
dashboard is good also for display
in public areas in big screens, but
also highly functional to be used
from a PC or tablet
• Allows users to toggle through
meters, sites, usage, savings and
carbon emissions data to ensure
to easily track performance
47. eSightenergy - eSight ENVI Solution
Map Navigation
• eSight uses mapping technology to enable
users to easily navigate between corporate
sites and buildings in a user-friendly, visual
format
• Users can save locations as a dropped pin and
zoom in to individual sites
• Map Navigation can be used to create map
views across the entire property portfolio,
e.g. across global sites or on a single campus
• View alarms and scaled consumption bubbles
to quickly identify the highest consuming
sites
48. eSightenergy - eSight ENVI Solution
Dashboards for building operators
• User specific visualisation of data
at a more detailed level
• The building operator chooses
what to see with customisable
layouts and content
• Multiple dashboards can be set
up and update regularly to allow
the user to monitor energy
performance at a glance
49. Domognostics™ from PHOEBE Innovations [10]
• The Domognostics™ Platform is an edge-to-cloud solution, able to
support the implementation of monitoring and control solutions, as well
as the setup and execution of pilots for the evaluation and verification
of research prototypes (TRL5-7) in the smart buildings area
• The platform uses state-of-the-art web technologies and open
standards, making it easy to interface with different types of sensors to
collect data, communication protocols to transfer data and
programming languages to execute algorithms
[10] phoebeinnovations.com/domognostics, www.domognostics.eu
50. Domognostics™ from PHOEBE Innovations [10]
• Key characteristics:
– Visualization of time-series data and configuration of sensors on the Web
– Dataretrieval from multiple sources and communication using MQTT or RESTful API using open
standards
– Storage of time-series data in NoSQL databases
– Convenient exchange of data (e.g. virtual measurements, alert signals)with researchers’
prototyping tool (MATLAB®, PYTHON, R) through dedicated libraries
– Ability to connect to hardware prototyping platforms, such as RaspberryPi™, ESP-8266, Arduino®,
etc.
– Ability to connect to commercial smart building sensors implementing different protocols (e.g. Z-
Wave)
– Integration of semantic metadatain the platform (rooms, zones, physical properties, etc.)
[10] phoebeinnovations.com/domognostics, www.domognostics.eu
51. Domognostics™ Features
• Integrate directly with heterogeneous sensor types, such as IoT devices,
mobile sensors, wearables, etc.
• Intelligent event diagnosis, machine learning, semantically-enhanced
(AI) reasoning, re-configuration of monitoring and control structures
• Detect hidden events, HVAC deficiencies, low air quality, valve failures,
etc. Detection within minutes/hours instead of days/months
• Allows for plug-and-play of sensors, actuators, controllers, and other
processing functions
52. Domognostics™ Features
• Combine with building models and smart algorithms, to detect anomalies and
learn of unknown occurring events
• Provide remedial reconfiguration actions, aiming to improve operational
efficiency
• Make use of machine learning and artificial intelligence, to learn from
experience
• Smart algorithms – combine with building models and smart algorithms to
detect anomalies and learn the dynamics of unknown occurring events
• Use semanticallyenhanced reasoning to facilitatethe flexibility of adding new
sensors or replacing faulty components, as needed
53. Domognostics™ Architecture
Smart Building Apps may
include:
– Machine-learning based
state estimation(e.g. zone
temperature, air quality)
– Model-based anomaly
detection and diagnosis in
HVAC or other automation
systems
– Model-free anomaly
detection and diagnosis
using machine learning
– Create building model &
HVAC (gbXML/SensorML,
other RDF/OWL
ontologies)
54. Domognostics™ - Dashboard
54
1. Administration /
Navigation menu,
where user selects
functionality
2. Main contentarea
- Dashboard
visualisations,
providing selected
summary graphs
and alerts
1 2
55. Domognostics™ - Dashboard with alerts
• Different
Domognostics
dashboard, offering
immediate insights
on statistics and
also direct
alerts/notifications
of detected
anomalies
56. Domognostics™ - Manage topology and devices
56
• Manage buildings,
zones, rooms,
sensors
• Register the
topology of the
building, as well as
the IoT components
participating in the
measurements
57. Domognostics™ - Detailed room configuration
57
• On top of the
building map,
define the area of a
room and/or zone,
using interactive
visualisations
58. Domognostics™ - Detailed sensors configuration
58
• On the building
map, place the
sensors where they
are located
60. Domognostics™ - Data analytics at floor level
60
• Execute analytics
algorithm and
view results
directly on the
building map
• Different layers,
providing details
and visuals on a
floor, zone/room
level and/or on
sensor level
61. Domognostics™ - Data analytics at floor level
61
• Detailed visualisation of floor-
plan, with option to select
buildings, zones, rooms
62. Domognostics™ - Data analytics at floor level
• Detailed graphs
visualising data streams,
either as produced or
after analysis
• Model-based residual
calculation with dynamic
thresholds, for advance
anomaly detection on
time-series
64. Domognostics™ - Data analytics at room level
64
• Going into a specific
room, the user is
able to see details of
collected time-series,
as well as outputs of
data processing/
analytics algorithms
• Per-sensor or per-
algorithm
visualisations
65. Domognostics™ - Pilot deployments
• PHOEBE developed Domognostics™ in collaborationwith the KIOS
Research and Innovation Center of Excellence (http://kios.ucy.ac.cy), at the
University of Cyprus, in the framework of EU and Nationalresearch and
innovationprojects
• In order to demonstrate intelligentevent detectionmethods for smart
buildings,an experimentaldeployment has been created within the KIOS
Testbeds Laboratory,a large open-planarea segmented into 13 zones
• A network of Z-Wave sensors has been installedto collect real-time
environmental datafrom the different zones
• The dataare being routed through a Z-Wave gatewaydesigned by PHOEBE,
sending the informationto the platform via MQTT
• External weather data are collectedusing an Open Data API
• Algorithms for HVAC monitoringand contamination detection,designed by
KIOS researchers in MATLAB®, are executed every few minutes, to
determine the existence of faults
• The algorithmsproduce data in the form of virtual sensors and alerts,
which are sent via MQTT to the platform, for storage, further processing
and visualisation
68. Domognostics™ - Custom-built hardware
components
Main sensor integrationboard, with Wi-Fi
communicationcapabilities
Temperature and humidity sensing integrated
on PHOEBE IoT board
69. Domognostics+ [11] - Beyond Domognostics
• Domognostics+ is built on top of Domognostics Platform, adding a module for
“Semantically-enhanced IoT-enabled Building Analytics and Diagnostics”
• BAS solutions typically require pre-deployed devices and pre-designed monitoring and
control intelligence. However, the emerging level of maturity of the IoT paradigm and the
subsequent proliferation and high penetration of smart portable and embedded devices (i.e.
sensors, mobile devices, etc.) that can be deployed in buildings turn the BAS market into a
rapidly growing market.
• Domognostics+ project develops and evaluates an innovative low-cost intelligent
software/hardware solution designed for building operators to better monitor and control
their building systems and reduce their operational expenses due to systems' inefficiencies
or previously undetected events (i.e. water leakages, energy losses), based on state-of-the-
art data analytics, machine learning and artificial intelligence methods.
[11] http://www.domognostics.eu/
70. Domognostics+ - Beyond Domognostics
• Domognostics+ is bridging the gap
between research on IoT-enabled
smart building automation systems
and relevant industrial applications
• Domognostics+ utilises technologies
from machine learning, IoT, semantic
reasoning
• The back-end system will use a RESTful
API and open standards, which will
facilitate the integration of the
platform with other platforms,
supporting the creation of ecosystems
of services.
[12] https://zenodo.org/record/1053854
71. Domognostics+ - Beyond Domognostics
• The platform will integrate the SEMIoTICS
[12] Architecture and its semantically-
enhanced supervisor, that will be built on
top of an ontological knowledge Graph to
facilitate the devices' semantic annotation
through dedicated Prolog queries
• The Supervisor will offer logic-based
semantic reasoning capabilities to achieve
monitoring and control system re-
configuration towards energy efficiency
and increase of occupants' comfort
[12] https://zenodo.org/record/1053854
72. Outline
1. Examples of existing and emerging IoT-enabled building
monitoring and control solutions
– Type of analytics and subsequent decision-making intelligence
provided by IoT-enabled platforms
2. Demonstration of operation of the IoT-enabled platforms and
solutions
– reducing human intervention, however,
– building operator intervening and making decisions where
necessary
73. Hands-on part
• Get access to as many of the presented solutions as possible and run
experimental deployments, with real or virtual components and time-
series
• See how to configure the building and the devices, as well as how to
view ad interpret the information presented to the building operator.
75. Disclaimer
For further information, relatedto the VET4SBO project, please visit the project’swebsite at https://smart-building-
operator.euor visit us at https://www.facebook.com/Vet4sbo.
Downloadour mobile app at https://play.google.com/store/apps/details?id=com.vet4sbo.mobile.
This project (2018-1-RS01-KA202-000411) has been funded with support from the European Commission (Erasmus+
Programme). Thispublicationreflects the views only of the author, and the Commission cannot be held responsible
for any use which may be made of the informationcontainedtherein.