Intelligent Building Control System Research Articles

Sensing Network with RFID for Intelligent Building Control Systems

Sensing Network with RFID for Intelligent Building Control Systems

Distributed and localized cooling with thermoelectrics

G. Jeffrey Snyder is a Professor of Materials Science and Engineering at Northwestern University in Evanston Illinois. His interests are focused on engineering of electronic and thermal properties, and he is well known for his work on thermoelectric materials. He has developed new methods of electron band structure engineering and microstructure engineering of thermal and electrical properties of complex materials. His interdisciplinary approach stems from his background in solid state chemistry at Cornell University and the Max Planck Institute for solid state research, applied physics at Stanford University, and thermoelectric materials and device engineering at NASA/Jet Propulsion Laboratory and California Institute of Technology (Caltech).

Study Of The Evolutionary Development Of Automated Control Systems For Intelligent Buildings And A Description Of The Main Requirements For Wireless Technologies In ACSIB

The intelligence of a building goes hand in hand with advances in building technology that facilitate the integration of different subsystems within a single building and the information integration of a group of buildings. This is because the deeper the building systems are integrated, the greater the diversity, scope, and speed of data generation, the greater the potential for smart decision making. A modern engineering approach to building an Automated Intelligent Building Management System (ACSIB) aims to protect the building from future risks of scaling and reconfiguration problems by addressing communication and integration issues in advance. All this is done using the latest wireless technologies, open protocols, and ready-to-use Internet products available on the market. In parallel, data storage and archiving standards are being introduced to lay the foundations for a data-rich industry that can be used to increase building productivity. The most important trends in the development of automated building management systems are the miniaturization of sensors to increase their use and installation locations, reduce energy consumption, and ideally — the use of sensors not only wireless but also battery-free. Such sensors are powered by natural effects such as solar energy, Peltier effect, etc. As part of the review article, the author highlights the basic concepts and trends in the development of automated control systems for intelligent buildings (ACSIB), touches on the trend of combining ACSIB and the Internet of Things (BIoT) network. The article provides practical examples of the application of the latest approaches and solutions through protocols and technologies adopted in use. Also, the article presents general requirements for wireless technologies for automated control systems for intelligent buildings.

Design and Research of Intelligent Building Control System

This paper designs and studies an intelligent building control system. The use of object-oriented design principles to design a building automatic control system is an inevitable product of scientific development, a result of the application of modern scientific and technological achievements, and is based on the development of building fieldbus technology. The advantages of the intelligent building control system include: easy design, easy construction, easy to use, easy to manage, and easy to maintain. Through the design and implementation of intelligent building control systems, energy efficiency can be improved, property management efficiency can be improved, technology application thresholds can be reduced, big data value-added services can be added, and energy control can be fully automated and unattended.

Intelligent Building Control System Based on Mobile Wireless Internet of Things

In order to develop an advanced intelligent building control system, the new system based on mobile wireless Internet of things is designed. By analyzing the new technology, it is proved that the application and development of the Internet of things technology provides a new method for the effective control of intelligent buildings. In addition, a series of researches are carried out on the core technology of the construction equipment networking system. The hardware, software and wireless self-organization networks of the intelligent terminal are designed and implemented, and the key indexes of the intelligent terminal are tested. The fixed transmit power test results show that when the fixed emission frequency is 10 dB, the communication distance is inversely proportional to the communication rate, which means that the smart terminal wireless network has strong ability to pass through obstacles. Based on the above finding, it is concluded that the stability of the mobile internet wireless network intelligent terminal can fully meet the performance requirements of intelligent building control, which lay is a good basis for its flexible use of the future.

Design of Multi-Sensors Cooperation Control System for Intelligent Building

This paper presents a design of intelligent building control system based on multi-sensors. In order to achieve comfort, low carbon and energy conservation for buildings. The design uses STC89C52 chip, combined with monitoring data of Pyroelectric infrared microwave dual sensor, temperature sensors and light sensors to control the optical system, the temperature control system and the security system. It helps to achieve low carbon and energy conservation. In addition, the energy-saving effect of a medium-sized multimedia classroom was analyzed. We analyze the feasibility of the system. It is proved that the system is low cost, high yield and easy to operate, with strong engineering application value.

Technical requirements of age-friendly smart home technologies in high-rise residential buildings: A system intelligence analytical approach

Smart home technology (SHT) has been identified as a promising means of helping seniors to remain independent and maintain their quality of life (QoL) while containing spiralling care costs for older people. Despite official pilot schemes in many countries to promote SHT in seniors housing, there is limited understanding of the forms that such SHT interventions should take. This study builds on the analytical model of intelligent building control systems developed by the author; the aim is to provide a systematic approach to understanding the key intelligent attributes of smart-home devices. A qualitative participatory evaluation approach involving focus groups was adopted to investigate the needs of seniors and their SHT preferences. Fourteen features of the SHT technical requirements of four key intelligent attribute types were identified. This study’s insights will help to shape the way SHT is designed and used.

Smart House - The Building Management System

Unit recently, electronic management systems were reserved exclusively for production systems. The development of technology has enabled the construction of "intelligent buildings", that is buildings equipped with advanced systems to supervise the operation of household equipment. Control systems monitor the condition of the rooms (temperature, humidity) using sensors, and the measurement is analysed by a program resident in the memory of a microcontroller which, based on a developed algorithm, makes the decision to activate the actor – an actuating device (heater, air conditioner). The system acts like a robot, which creates the picture of the world with its sensors and then, based on its built-in "intelligence" (a program), performs a specific operation. The only difference is in the appearance; instead of a human-shaped android, we have a "thinking" building. The intelligent building control system enhances the living comfort of the inhabitants and reduces the energy intensity. A characteristic feature is the user's ability to interfere in equipment operation parameters, e.g. to change the temperature. Therefore, control systems feature a simple and functional interface suited to the skills of an average user. It is activated on any device with an internet browser to enable the remote control of the system.

General Information Models of Intelligent Building Control Systems: Basic Concepts, Determination and the Reasoning

In the paper the problem of the general information simulation of the building control intelligent systems from the point of view of abstract cybernetics is examined. There are represented some resonings about the state and the prospects for practice and scientific studies in the field of constructing Building Intelligence. There are examined the questions and the resonings, connected with the determination of the key concepts of the construction Building Intelligence: control of object (building), the stability of object (building), the homeostat of object (building).

General Information Models of Intelligent Building Control Systems: Scientific Problem and Hypothesis

In the paper the problem of the general information simulation of the building control intelligent systems from the point of view of abstract cybernetics is examined. There are represented some resonings about the state and the prospects for practice and scientific studies in the field of constructing Building Intelligence. There are examined the questions and the resonings, connected with the determination of the key concepts of the construction Building Intelligence: control of object (building), the stability of object (building), the homeostat of object (building).

Modeling of active holonic control systems for intelligent buildings

Abstract Building facilities have become important infrastructures for modern productive plants dedicated to services. In this context, the control systems of intelligent buildings have evolved while their reliability has evidently improved. However, the occurrence of faults is inevitable in systems conceived, constructed and operated by humans. Thus, a practical alternative approach is found to be very useful to reduce the consequences of faults. Yet, only few publications address intelligent building modeling processes that take into consideration the occurrence of faults and how to manage their consequences. In the light of the foregoing, a procedure is proposed for the modeling of intelligent building control systems, considersing their functional specifications in normal operation and in the of the event of faults. The proposed procedure adopts the concepts of discrete event systems and holons, and explores Petri nets and their extensions so as to represent the structure and operation of control systems for intelligent buildings under normal and abnormal situations.

A Procedure for Modeling of Holonic Control Systems for Intelligent Building (HCS-IB)

Faults occurrence is inevitable in real world and a practical alternative approach is the reduction of fault consequences. Despite of this, the majority of buildings control systems do not have such mechanisms. Thus, this work proposes a procedure for the modeling of control systems for intelligent buildings which considers their functional specifications in normal operation, and in case of faults occurrence. The procedure adopts the concepts of discrete event system, holon, and Petri net and its extensions. It is presented some models derived from case studies, and mechanisms to fault-diagnosis, decision and reconfiguration.

Numerically Filtering Based on PLC and the Application in the Control System of the Intelligent Building

This article introduces the way Arithmetic Mean Filtering, Weighted Mean Filtering and Inertia Filtering are applied in dealing with analog signals in PLC control system. Apart from presenting the design of the corresponding numerical filtering procedure, it provides a concrete illustration by citing a case where numerical filtering is applied in Intelligent Building Control System. Facts show Application of numerical filtering effectively strengthens the liability of the system.

Development of intelligence analytic models for integrated building management systems (IBMS) in intelligent buildings

With the availability of innumerable ‘intelligent’ building products and the dearth of inclusive evaluation tools, design teams are confronted with the quandary of choosing the apposite building control systems to suit the needs of a particular intelligent building project. The paucity of measures that represent the degree of system intelligence and indicate the desirable goal in intelligent building control systems design inhibits the consumers from comparing numerous products from the viewpoint of intelligence. This article is designed to develop a model for facilitating the system intelligence analysis for the integrated building management system (IBMS) in the intelligent building. To achieve these objectives, systematic research activities are conducted to first develop, test and refine the general conceptual model using consecutive surveys; then, to convert the developed conceptual framework to the practical model; and, finally, to evaluate the effectiveness of the practical model by means of expert validation. The findings of this study suggest that IBMS has a distinctive set of intelligence attributes and indicators. The research findings also indicate that operational benefits of the intelligent building exert a considerable degree of influence on the relative importance of intelligence indicators of the IBMS in the model. This research suggests a benchmark to measure the degree of intelligence of one control system candidate against another.

Optimal, sub-optimal and adaptive control methods for the design of temperature controllers for intelligent buildings

The application of modern control theory to design control systems for buildings are explored. Example problems dealing with HVAC systems and indoor environment control are considered. Linear models of the systems are used to design controllers based on (i) pole-placement technique, (ii) optimal regulator theory and (iii) adaptive control. The responses of the systems subject to disturbances are investigated. The results illustrate the advantage of one method over the other and emphasize the importance of the use of improved methods to design control systems for intelligent buildings.