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VEERTA SINGH SALATHIA 19 MARCH 23
BuildingAutomation
AdvancedBuildingSystems
Wh
a
t Is
a
Building Autom
a
tion System (BAS)?
A building automation system (BAS) is a network designed to connect and automate certain functions inside a
building. All of the building control systems, from lighting and HVAC (Heating, Ventilation & Air Conditioning)
to
fi
re and security systems—all wired through one set of controls
Building automation systems (BAS) are often part of green buildings, too.
A smart building, also called an intelligent building, is one with a building automation system (BAS) in
place.
How Does
a
Building Autom
a
tion System (BAS) Work?
For most building automation systems (BAS), input and output devices connect with a controller and a user
interface. These components all work together to gather, process, and adjust information.
Most BAS have
fi
ve main components:
◦ Input devices (sensors): measure data (like CO2 in air and humidity)
◦ Controllers: the system’s “brain” decides how to respond to that data
◦ Output devices (actuators): carry out the controller’s programmed responses
◦ Communications protocols: a language for the parts to “talk” to each other
◦ User interfaces (UI): screens and dashboards to review building data reports
1. Sensors
Sensors are devices that keep track of the humidity, temperature, lighting levels, how many people are in the
room, if there is smoke in the rooms, and other parameters. After gathering this information, sensors transmit
them to the controllers.
2. Controllers
Controllers are the brain of the building’s automation system. They collect all of the information from the
sensors and according to that information, send commands to all connected systems, like HVAC systems,
lighting systems, and more.
3. Output devices
When the controller sends out a command, relays and actuators of the speci
fi
c systems follow the new
instructions or requirements. For example, turn on the heating or air conditioning at 6 am so when people
come to work at 8 am, it’s properly heated or air-conditioned.
4. Communication protocols
Every building automation system uses speci
fi
c language to connect each individual component. Protocols such
as BACnet and Modus help each component to send and receive information in order to adjust its settings and
execute commands.
5. Terminal interface
Every BAS has a user interface or terminal from which building and facility operators can access it. This terminal
helps users to understand the information transferred between each component and gives the opportunity for
making adjustments manually.
Types of Building Automation Systems
Though HVAC systems are the most common, BAS can control many di
ff
erent functions, including:
• Lighting
• Chillers and cold storage
• HVAC (Heating, ventilation, and air conditioning)
• Electrical systems
• Occupancy sensors
Applic
a
tion of building
a
utom
a
tion system
• Fire Alarms and Fire Suppression
• Security system and Alarms
• CCTV
• Plumbing and Water usage
• Commercial
• Residential
• Industrial
Building Automation Systems are prone to aging and will eventually need to be replaced,
fi
xed, or
upgraded over time. Like an HVAC or plumbing system, building control equipment has a
fi
nite lifespan that
varies based on quality, use, and care.
Design issues rel
a
ted to building
a
utom
a
tion
a
nd its effect on function
a
l ef
f
iciency
There are three simple tips for avoiding BMS problems:
• Perform Regular Maintenance
• Get a Legacy Upgrade
• Avoid Proprietary BAS Systems
Other disadvantages of building management systems include:
• Poor to no security—When manufacturers stop supporting a BMS system, they also stop sending out
critical security updates. This makes your legacy system a prime target for hackers and other bad actors.
• Limited power—Buildings often go through multiple upgrades throughout their lifespan. A legacy BMS
system will have a challenging time keeping up with the demands of a modern or upgraded building.
• Poor tenant comfort—Older systems often lack the granular control that allows the facility manager or
building owner to improve tenant comfort.
• Limited analytics—Legacy systems are underpowered and don’t have the necessary resources or memory
needed to run powerful reports or analytics that can uncover hidden insights.
Integr
a
ted Building Autom
a
tion Systems-
Integrated Building Management System (iBMS) is a computer-based automated system installed in buildings
that controls and monitors the building’s mechanical and electrical equipment such as ventilation, lighting,
power systems,
fi
re systems, and security systems. With the advent of IoT, iBMS is not just a technological
concept, but soon taking over businesses and the ways they function. From infrastructure automation, climate
control, energy management to building intelligence, PRISM believes in connectivity, accessibility and e
ffi
ciency.
Current trend
a
nd innov
a
tion in building
a
utom
a
tion systems
Web-b
a
sed Control Networks
Current trends to work from home and to have more global traveling encourage remote interaction with
building communications and services. Even within the same territory or campus, Web-based control networks
that communicate over the Internet using standard Web browsers can o
ff
er a convenient access and a familiar,
e
ff
ective interface to building managers, operators, users and visitors. It is believed that the Web is transforming
the interface of building control and will have a signi
fi
cant impact on the way the building owners manage
facilities and building equipment
Fieldbus Technologies
a
nd Synergy
It should be noted that the
fi
eldbus development in process control and instrumentation has signi
fi
cant
implications to BACS because distributed control and distributed diagnostics will ensure that the functionality of
all building systems is respected, and any single fault cannot invoke a generalized building failure. Also, intelligent
fi
eld devices can easily perform simple control functions and enable more e
ff
ective design and management of
building systems and components
Wireless
a
nd Mobile Technologies
Wireless technology can o
ff
er many conveniences and be a cost e
ff
ective solution for BACS. For example, with
wireless mobility, building operators and maintenance personnel can track building operations wherever they are.
Also, wireless connectivity can save wiring, simplify future changes and enhance system performance. With careful
planning, using one wireless backbone for several systems can reduce engineering, construction, commissioning
and operating cost over the entire life of the building. Of course, to make this control network convergence
possible, the wireless network should provide su
ffi
cient bandwidth and Quality of Service (QoS) required for all
the related applications.Mobile telephones are well established, allowing mobile communications in many other
forms. This technology has value for in-building applications. In particular, for the occupants/tenants and the
operators, mobile technologies can yield substantial e
ffi
ciencies.
Integr
a
ted Building Systems
a
nd F
a
cility M
a
n
a
gement
Building control has traditionally been organized into autonomous subsystems such as lighting and HVAC
control. As buildings are automated, these formerly independent subsystems are interconnected to deliver
integrated services. Interconnection among subsystems is enabled by equipping each subsystem with facilities for
data communications. In fact, when developing new addenda for the BACnet protocol, ASHRAE has expanded its
coverage of building systems to include access control, lighting, life-safety and network security
To integrate these systems and exchange information e
ff
ectively, a ubiquitous and reliable communications
infrastructure is needed. Integration is obviously far easier when systems that shall be joined talk the same
language. Uni
fi
ed presentation is achieved at no additional engineering e
ff
ort this way, potentially reducing
investment cost. Other bene
fi
ts of systems integration include sharing of information, space, infrastructure and
operating sta
ff
among di
ff
erent building systems. For instance, a single operator interface will recognize status and
control information of all available systems.
Applic
a
tion of expert systems in the construction sector
Expert systems
An expert system is a single or multiple sets of software which intends to support the use of knowledge and
facilitate decision-making process. Expert systems can assist or even replace human experts in a certain
fi
eld.
They can provide the user with advice, recommendations or diagnosis in the problems related to the study
fi
eld.
In a properly newly designed and constructed an energy-saving building or in a deeply thermo-modernized
existing building the theoretically calculated energy-saving e
ff
ects are often not achieved. There are many
reasons for that. One of them is poor management of energy in the process of building operation. The solution
to this problem can be the use of smart building systems such as the KNX system. Such issues have already been
described in the literature. However, the problem is complicated when dealing with energy management in
buildings with hybrid systems of heat and cold production such as gas boiler and wood burning
fi
replace. At this
point, it is advisable to use expert systems to control the KNX installation.
A computerized maintenance management system or CMMS is software that centralizes maintenance
information and facilitates the processes of maintenance operations. It helps optimize the utilization and
availability of physical equipment like vehicles, machinery, communications, plant infrastructures and other
assets. Also referred to as CMMIS or computerized maintenance management information system, CMMS
systems are found in manufacturing, oil and gas production, power generation, construction, transportation
and other industries where physical infrastructure is critical.
Computerizingbuildingmanagementinformation
TheBene
f
itsofTechnologyandAutomationforBusinesses
Introducing new technologies like arti
fi
cial intelligence (AI), machine learning (ML), and robotic process
automation (RPA) are now part of a solid business strategy. Some of the advantages that come from these
technologies include increased productivity, higher rates of production, better quality service, and the e
ffi
cient
use of materials.
There are many technology service providers that can help
fi
rms, private companies, and government agencies to
speed up their technology adoption. With a team of technologists, engineers, and IT professionals, any
organization can implement new systems that improve productivity, speed up task execution, and enhance
security throughout their operations.
While blue- and white-collar jobs may be at risk, it does create a demand for “new collar” jobs where non-
traditional education helps organizations with their technology adoption. Training for new collar jobs may
include vocational schools, software boot camps, technical certi
fi
cations, and on-the-job mentorships or
internships.
WhatIsArti
f
icialIntelligence(AI)?
Arti
fi
cial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think
like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated
with a human mind such as learning and problem-solving.
What Are the 4 Types of AI?
Arti
fi
cial intelligence can be categorized into one of four types.
• Reactive AI uses algorithms to optimize outputs based on a set of inputs. Chess-playing AIs, for example, are
reactive systems that optimize the best strategy to win the game. Reactive AI tends to be fairly static, unable to
learn or adapt to novel situations. Thus, it will produce the same output given identical inputs.
• Limited memory AI can adapt to past experience or update itself based on new observations or data. Often, the
amount of updating is limited (hence the name), and the length of memory is relatively short. Autonomous
vehicles, for example, can "read the road" and adapt to novel situations, even "learning" from past experience.
• Theory-of-mind AI are fully-adaptive and have an extensive ability to learn and retain past experiences.
These types of AI include advanced chat-bots that could pass the Turing Test, fooling a person into believing
the AI was a human being. While advanced and impressive, these AI are not self-aware.
• Self-aware AI, as the name suggests, become sentient and aware of their own existence. Still in the realm of
science
fi
ction, some experts believe that an AI will never become conscious or "alive".
Knowledgebaseanddecisionsupportsystems.
A knowledge-based decision support system (dss) that guides, instructs, and provides reasoning was used to
identify strategic opportunities, problems, and crises. The system’s objective is to improve subsequent
decisions by novice users to a level commensurate with that of more experienced decision makers. An empirical
study, using an independent groups design, was conducted to examine the e
ff
ects of a knowledge-based dss on
performance in the “problem-
fi
nding” or initial stage of the strategic planning process.
The results of the study indicate that using knowledge-based dss can improve the decision maker’s ability to
identify and assess problems in unstructured environments. The experimental treatments were (1) using
a dss with a complete knowledge base, (2) using a DSS with a 10% subset of the complete knowledge base, and
(3) using no DSS. Several performance measures of the desision-making process are presented.

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BUILDING AUTOMATION.pdf

  • 1. VEERTA SINGH SALATHIA 19 MARCH 23 BuildingAutomation AdvancedBuildingSystems
  • 2. Wh a t Is a Building Autom a tion System (BAS)? A building automation system (BAS) is a network designed to connect and automate certain functions inside a building. All of the building control systems, from lighting and HVAC (Heating, Ventilation & Air Conditioning) to fi re and security systems—all wired through one set of controls Building automation systems (BAS) are often part of green buildings, too. A smart building, also called an intelligent building, is one with a building automation system (BAS) in place. How Does a Building Autom a tion System (BAS) Work? For most building automation systems (BAS), input and output devices connect with a controller and a user interface. These components all work together to gather, process, and adjust information. Most BAS have fi ve main components: ◦ Input devices (sensors): measure data (like CO2 in air and humidity) ◦ Controllers: the system’s “brain” decides how to respond to that data
  • 3. ◦ Output devices (actuators): carry out the controller’s programmed responses ◦ Communications protocols: a language for the parts to “talk” to each other ◦ User interfaces (UI): screens and dashboards to review building data reports 1. Sensors Sensors are devices that keep track of the humidity, temperature, lighting levels, how many people are in the room, if there is smoke in the rooms, and other parameters. After gathering this information, sensors transmit them to the controllers. 2. Controllers Controllers are the brain of the building’s automation system. They collect all of the information from the sensors and according to that information, send commands to all connected systems, like HVAC systems, lighting systems, and more. 3. Output devices When the controller sends out a command, relays and actuators of the speci fi c systems follow the new instructions or requirements. For example, turn on the heating or air conditioning at 6 am so when people come to work at 8 am, it’s properly heated or air-conditioned.
  • 4. 4. Communication protocols Every building automation system uses speci fi c language to connect each individual component. Protocols such as BACnet and Modus help each component to send and receive information in order to adjust its settings and execute commands. 5. Terminal interface Every BAS has a user interface or terminal from which building and facility operators can access it. This terminal helps users to understand the information transferred between each component and gives the opportunity for making adjustments manually. Types of Building Automation Systems Though HVAC systems are the most common, BAS can control many di ff erent functions, including: • Lighting • Chillers and cold storage • HVAC (Heating, ventilation, and air conditioning) • Electrical systems • Occupancy sensors
  • 5. Applic a tion of building a utom a tion system • Fire Alarms and Fire Suppression • Security system and Alarms • CCTV • Plumbing and Water usage • Commercial • Residential • Industrial Building Automation Systems are prone to aging and will eventually need to be replaced, fi xed, or upgraded over time. Like an HVAC or plumbing system, building control equipment has a fi nite lifespan that varies based on quality, use, and care. Design issues rel a ted to building a utom a tion a nd its effect on function a l ef f iciency
  • 6. There are three simple tips for avoiding BMS problems: • Perform Regular Maintenance • Get a Legacy Upgrade • Avoid Proprietary BAS Systems Other disadvantages of building management systems include: • Poor to no security—When manufacturers stop supporting a BMS system, they also stop sending out critical security updates. This makes your legacy system a prime target for hackers and other bad actors. • Limited power—Buildings often go through multiple upgrades throughout their lifespan. A legacy BMS system will have a challenging time keeping up with the demands of a modern or upgraded building. • Poor tenant comfort—Older systems often lack the granular control that allows the facility manager or building owner to improve tenant comfort. • Limited analytics—Legacy systems are underpowered and don’t have the necessary resources or memory needed to run powerful reports or analytics that can uncover hidden insights.
  • 7. Integr a ted Building Autom a tion Systems- Integrated Building Management System (iBMS) is a computer-based automated system installed in buildings that controls and monitors the building’s mechanical and electrical equipment such as ventilation, lighting, power systems, fi re systems, and security systems. With the advent of IoT, iBMS is not just a technological concept, but soon taking over businesses and the ways they function. From infrastructure automation, climate control, energy management to building intelligence, PRISM believes in connectivity, accessibility and e ffi ciency. Current trend a nd innov a tion in building a utom a tion systems Web-b a sed Control Networks Current trends to work from home and to have more global traveling encourage remote interaction with building communications and services. Even within the same territory or campus, Web-based control networks that communicate over the Internet using standard Web browsers can o ff er a convenient access and a familiar, e ff ective interface to building managers, operators, users and visitors. It is believed that the Web is transforming the interface of building control and will have a signi fi cant impact on the way the building owners manage facilities and building equipment
  • 8. Fieldbus Technologies a nd Synergy It should be noted that the fi eldbus development in process control and instrumentation has signi fi cant implications to BACS because distributed control and distributed diagnostics will ensure that the functionality of all building systems is respected, and any single fault cannot invoke a generalized building failure. Also, intelligent fi eld devices can easily perform simple control functions and enable more e ff ective design and management of building systems and components Wireless a nd Mobile Technologies Wireless technology can o ff er many conveniences and be a cost e ff ective solution for BACS. For example, with wireless mobility, building operators and maintenance personnel can track building operations wherever they are. Also, wireless connectivity can save wiring, simplify future changes and enhance system performance. With careful planning, using one wireless backbone for several systems can reduce engineering, construction, commissioning and operating cost over the entire life of the building. Of course, to make this control network convergence possible, the wireless network should provide su ffi cient bandwidth and Quality of Service (QoS) required for all the related applications.Mobile telephones are well established, allowing mobile communications in many other forms. This technology has value for in-building applications. In particular, for the occupants/tenants and the operators, mobile technologies can yield substantial e ffi ciencies.
  • 9. Integr a ted Building Systems a nd F a cility M a n a gement Building control has traditionally been organized into autonomous subsystems such as lighting and HVAC control. As buildings are automated, these formerly independent subsystems are interconnected to deliver integrated services. Interconnection among subsystems is enabled by equipping each subsystem with facilities for data communications. In fact, when developing new addenda for the BACnet protocol, ASHRAE has expanded its coverage of building systems to include access control, lighting, life-safety and network security To integrate these systems and exchange information e ff ectively, a ubiquitous and reliable communications infrastructure is needed. Integration is obviously far easier when systems that shall be joined talk the same language. Uni fi ed presentation is achieved at no additional engineering e ff ort this way, potentially reducing investment cost. Other bene fi ts of systems integration include sharing of information, space, infrastructure and operating sta ff among di ff erent building systems. For instance, a single operator interface will recognize status and control information of all available systems.
  • 10. Applic a tion of expert systems in the construction sector Expert systems An expert system is a single or multiple sets of software which intends to support the use of knowledge and facilitate decision-making process. Expert systems can assist or even replace human experts in a certain fi eld. They can provide the user with advice, recommendations or diagnosis in the problems related to the study fi eld. In a properly newly designed and constructed an energy-saving building or in a deeply thermo-modernized existing building the theoretically calculated energy-saving e ff ects are often not achieved. There are many reasons for that. One of them is poor management of energy in the process of building operation. The solution to this problem can be the use of smart building systems such as the KNX system. Such issues have already been described in the literature. However, the problem is complicated when dealing with energy management in buildings with hybrid systems of heat and cold production such as gas boiler and wood burning fi replace. At this point, it is advisable to use expert systems to control the KNX installation.
  • 11. A computerized maintenance management system or CMMS is software that centralizes maintenance information and facilitates the processes of maintenance operations. It helps optimize the utilization and availability of physical equipment like vehicles, machinery, communications, plant infrastructures and other assets. Also referred to as CMMIS or computerized maintenance management information system, CMMS systems are found in manufacturing, oil and gas production, power generation, construction, transportation and other industries where physical infrastructure is critical. Computerizingbuildingmanagementinformation TheBene f itsofTechnologyandAutomationforBusinesses Introducing new technologies like arti fi cial intelligence (AI), machine learning (ML), and robotic process automation (RPA) are now part of a solid business strategy. Some of the advantages that come from these technologies include increased productivity, higher rates of production, better quality service, and the e ffi cient use of materials. There are many technology service providers that can help fi rms, private companies, and government agencies to speed up their technology adoption. With a team of technologists, engineers, and IT professionals, any organization can implement new systems that improve productivity, speed up task execution, and enhance security throughout their operations.
  • 12. While blue- and white-collar jobs may be at risk, it does create a demand for “new collar” jobs where non- traditional education helps organizations with their technology adoption. Training for new collar jobs may include vocational schools, software boot camps, technical certi fi cations, and on-the-job mentorships or internships. WhatIsArti f icialIntelligence(AI)? Arti fi cial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. What Are the 4 Types of AI? Arti fi cial intelligence can be categorized into one of four types. • Reactive AI uses algorithms to optimize outputs based on a set of inputs. Chess-playing AIs, for example, are reactive systems that optimize the best strategy to win the game. Reactive AI tends to be fairly static, unable to learn or adapt to novel situations. Thus, it will produce the same output given identical inputs. • Limited memory AI can adapt to past experience or update itself based on new observations or data. Often, the amount of updating is limited (hence the name), and the length of memory is relatively short. Autonomous vehicles, for example, can "read the road" and adapt to novel situations, even "learning" from past experience.
  • 13. • Theory-of-mind AI are fully-adaptive and have an extensive ability to learn and retain past experiences. These types of AI include advanced chat-bots that could pass the Turing Test, fooling a person into believing the AI was a human being. While advanced and impressive, these AI are not self-aware. • Self-aware AI, as the name suggests, become sentient and aware of their own existence. Still in the realm of science fi ction, some experts believe that an AI will never become conscious or "alive". Knowledgebaseanddecisionsupportsystems. A knowledge-based decision support system (dss) that guides, instructs, and provides reasoning was used to identify strategic opportunities, problems, and crises. The system’s objective is to improve subsequent decisions by novice users to a level commensurate with that of more experienced decision makers. An empirical study, using an independent groups design, was conducted to examine the e ff ects of a knowledge-based dss on performance in the “problem- fi nding” or initial stage of the strategic planning process. The results of the study indicate that using knowledge-based dss can improve the decision maker’s ability to identify and assess problems in unstructured environments. The experimental treatments were (1) using a dss with a complete knowledge base, (2) using a DSS with a 10% subset of the complete knowledge base, and (3) using no DSS. Several performance measures of the desision-making process are presented.