Journal articles: 'Intelligent building'

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Zhao, Wangchu. "Applications of Intelligent Artificial and Communication Technologies in Intelligent Buildings." Highlights in Science, Engineering and Technology 10 (August 16, 2022): 156–62. http://dx.doi.org/10.54097/hset.v10i.1245.

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With the development of society and the progress of science and technology, more and more technologies are being applied to the intelligent building system. The study summarizes and analyzes the development status of intelligent buildings, then analyzes and generalizes the advantages, disadvantages, and applications of several artificial intelligence and communication technologies in the intelligent building system. Results show that this paper introduces the three applications of artificial intelligence systems in intelligent buildings, including expert control systems, artificial neural systems, and intelligent decision systems, as well as the application of communication technology in intelligent buildings, including virtual LAN technology, communication network technology and broadband network technology. Artificial intelligence technology can reflect the current situation of buildings to people in real-time, judge emergencies instead of experts, and make the best choice to prolong the service life and stability of buildings. Communication technology can help users realize remote offices and home offices. The application of these technologies in intelligent buildings may not be mature at this stage, but the development and application potential are still very considerable.

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Wang, Xiang Ning, Qing Lin, and Jing Chen. "Application of Artificial Intelligence in Intelligent Buildings." Applied Mechanics and Materials 347-350 (August 2013): 466–70. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.466.

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This paper introduced concept of artificial intelligence and intelligent building at first. Then analyzed the necessity of using AI in the intelligent buildings. At last introduced some typical application of AI in intelligent building such as delightful interior light-environments control system, air conditioning load calculate system and air conditioning control system and fault diagnosis expert system for building intelligent system.

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Edwards, Rodger. "Intelligent Buildings and Building Automation." Construction Management and Economics 29, no. 2 (February 2011): 216–17. http://dx.doi.org/10.1080/01446193.2010.542470.

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Kristina, Golub. "EVALUATION CRITERIA OF THE OFFICE BUILDINGS INTELLECTUALITY." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Arhìtektura 3, no. 1 (June 15, 2021): 39–52. http://dx.doi.org/10.23939/sa2021.01.039.

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The article defines the main criteria of office buildings intelligence, describes the stages of intelligent buildings formation, analyzes the profitability of the introduction of modern technical means (engineering systems) and architectural planning techniques in office buildings. At different stages of civilization, the concept of "technology" defines the path leading to future progress, and the rate of technology change is directly proportional to the rate of progress. Nowadays, artificial intelligence is extremely important for the functioning of modern office buildings, including the impact on the environment, resource conservation, safety, comfort and life support. According to research based on the works of scientists such as Derek Clements-Croome, Mervi Himannen, Akin Adejimi and others, and based on the analysis of intellectual buildings of the world from the 50s of the twentieth century to the present, 4 stages of intelligent buildings formation were identified. At the first stage (1950-1980) of the formation, separate controllers were introduced. At the second stage (1980-1995), the introduction of the "artificial intelligence" - Building Management System (BMS) - was developed and used. At the third stage (from 1995 to 2010) an intelligent building management system (IBMS) was introduced, which can independently identify threats, look for ways to achieve results and make decisions. Starting from 2010, we can highlight the fourth stage of development of the intelligent buildings, in which, in addition to the availability of the intelligent management system (IBMS), it became necessary to use approaches of sustainable architecture. The research results indicate that the office building should be classified as an "intelligent building" if it meets the following criteria: 1. Has artificial intelligence (IBMS), which autonomously manages the building; 2. Has at least 15 thousand information points, in other words, sensors and controllers, through which information is received from controlled engineering systems about the state of equipment and the environment, the state of building structures, etc.; 3. Complies with the principles of sustainable architecture, when planning and architectural techniques can minimize the negative impact of buildings on the environment through energy efficiency. The article proves that the office buildings intelligence is determined by the availability of both technological means and the optimal architectural concept, which minimize the negative impact of buildings on the environment; improve energy efficiency and conditions of the building exploitation. Therefore, further research of intelligent buildings from the point of architectural view is necessary, because a modern office building must be designed with the ability to adapt to rapid changes in technology and human needs.

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Volkov, Andrey, Vitaliy Chulkov, and Dmitriy Korotkov. "Intelligent Building." Advanced Materials Research 1065-1069 (December 2014): 1606–9. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.1606.

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The problems of intellectual construction understanding are investigated. Intelligent building is proposed to be considered in the framework of the basic infographic model "man-technology-environment". Three levels life cycle implementation model is provided.

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Balas, Marius, Jelena Nikolic, Ramona Lile, Mihaela Popa, and Roxana Beiu. "INTELLIGENT ROOFTOP GREENHOUSES AND GREEN SKYLINE CITIES." SWS Journal of EARTH AND PLANETARY SCIENCES 1, no. 2 (October 1, 2019): 15–28. http://dx.doi.org/10.35603/eps2019/issue2.02.

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The paper proposes a new concept of green building, able to oppose the global warming, the Intelligent Rooftop Greenhouse iRTG, as a development of the Integrated Rooftop Greenhouse IRTG. Our approach is to replace conventional roofs with IRTGs, which are constructively connected with the interior of the building by flows of energy, gazes (mainly O2 enriched air from RTG to building and CO2 enriched air from building to RTG) and water in order to improve the building’s metabolism. A tight human-plant symbiosis is created such way. iRTGs perfect this architecture by actively controlling the energy, gazes and water flows, by collecting the available renewable energy resources (geothermal, sun, wind) and by adding Internet of Things IOT features to the system, in order to connect it to a surrounding Smart City. This way iRTGs may achieve an efficient integrated management of energy, gases and water, using just existing technologies: heat pumps (water to water for building’s basement and air to air for greenhouse), solar panels, IOT equipment, etc., controlled in a smart/intelligent manner. If a Smart City is composed mostly of iRTG buildings it becomes a Smart Green Skyline City, with low carbon footprint and high carbon offset. The paper provides a mathematical iRTG model.

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Wen, Yafeng. "Research on the intelligent construction of prefabricated building and personnel training based on BIM5D." Journal of Intelligent & Fuzzy Systems 40, no. 4 (April 12, 2021): 8033–41. http://dx.doi.org/10.3233/jifs-189625.

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With the promotion of BIM Technology, prefabricated building is developed rapidly in China. However, BIM technology has been only partially applied to prefabricated building, and there is still a gap between prefabricated building and intelligent construction. This paper focus on BIM 5D, together with relevant information technologies, all of which will be highly integrated and applied to prefabricated building, with the mission to get related information and enable the rapid flow of information, as well as bringing human perception, memory, knowledge and wisdom into prefabricated building, driving the development of prefabricated buildings to intelligence and leanness. Intelligent construction is an innovated construction model based on the combination of latest information technology and engineering construction. Thus, it is particularly important to train personnel with corresponding knowledge structure, knowledge system and professional ability for intelligent construction. This paper also discusses about how to train personnel on prefabricated building and intelligent construction.

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Birangal, Gitanjali, Dr S. V. Admane, and S. S. Shinde. "Energy Efficiency Approach to Intelligent Building." International Journal of Engineering Research 4, no. 7 (July 1, 2015): 389–93. http://dx.doi.org/10.17950/ijer/v4s7/711.

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Han, Ze Yuan, Ning Zhang, Zhe Cheng Wu, and Yue Ming Lu. "Research on Design of Intelligent Building Internal Structure Based on Building Materials." Advanced Materials Research 738 (August 2013): 113–16. http://dx.doi.org/10.4028/www.scientific.net/amr.738.113.

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New building materials cover a very wide area, such as insulation materials, high-strength materials, breathing material. Intelligent building is the inevitable product of new building materials in the information age, and the level of intelligence of the building gradually increases with the development of science and technology. This paper presents a novel intelligent building design. In the intelligent building, a wireless sensor networks can be reliable perception of the regional environmental and some parameter information be known by the monitoring nodes that widely distributed in the area. This design has the safe, efficient, comfortable, convenient and flexible features.

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Chen, Ming Yuan, Shih Yuan Liu, and Yeng Horng Perng. "Probe into the Development and Strategies of Implementation for Intelligent Buildings in Taiwan." Applied Mechanics and Materials 584-586 (July 2014): 1829–34. http://dx.doi.org/10.4028/www.scientific.net/amm.584-586.1829.

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Since 1985, various intelligent technologies have introduced and policy-driven in Taiwan, the intelligent building system has gradually formed catering for the characteristics of Taiwan. Therefore, this study proceeds to explore current status and survey strategies of policy implementation for intelligent buildings development in Taiwan, and further obtained countermeasures for building developers and public sectors in implementation intelligent buildings. The study firstly proceeds to relevant literature review and analysis of intelligent buildings both domestic and foreign, and through statistic and analysis in case studies and content analysis method, acquires Taiwan intelligent building evaluation indicator items for normal and non-normal application of intelligent building system by building developers and public sectors. Through study found four evaluation indicator items of normal application, and one evaluation indicator items of non-normal application, as well as building developers selected quantity and items of evaluation indicator fewer than public sectors. It is expected that study result will providing assessment and references to building developers and public sectors for the direction and implement strategy of intelligent building development in future, and further promote the realization goal of sustainable intelligent green building in Taiwan.

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Xu, Binjie. "Risk Assessment of Green Intelligent Building Based on Artificial Intelligence." Computational Intelligence and Neuroscience 2022 (September 15, 2022): 1–8. http://dx.doi.org/10.1155/2022/7584853.

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Green smart building is the development direction of future architecture. It is of great significance to carry out risk assessment. Fire risk is the key content of building risk, so this paper takes fire risk as the research object, with the help of artificial intelligence technology, to carry out the risk assessment research of green smart buildings. With the rapid development of the economy, urban fire risk factors are increasing, and the fire situation is becoming more and more serious. Building fire risk assessment is an important measure to effectively prevent and control urban building fires. This paper uses Internet of Things data to carry out fire risk assessment and realize Internet of Things data mining. Collect a large number of expert samples to build training samples, train the green intelligent building monomer fire risk assessment and prediction model based on deep neural network, constantly adjust the model parameters to optimize the model, and finally verify and modify the model.

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Kolková, Zuzana, Peter Hrabovský, Jozef Matušov, Martina Antošová, and Michal Holubčík. "Control and regulation systems of energy networks in buildings." MATEC Web of Conferences 168 (2018): 06005. http://dx.doi.org/10.1051/matecconf/201816806005.

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Measurement, regulation and control systems offer direct savings and reduce energy consumption, regulating heating, cooling, ventilation or lighting in the intelligent buildings. They provide quick and accurate information on the status of regulated systems or possible malfunction. Systems can use the special meteorological stations to get information about wind velocity and direction, outdoor temperature, intensity and direction of sunlight. They respond flexibly to changes in external parameters. Intelligent buildings combine architecture and aesthetics of the construction, safety, comfort and quality of the living. These buildings are productive, energy efficient and environmentally acceptable. Intelligent buildings combine internal and external intelligence building, intelligence used materials and constructions. The most important aspect is the cooperation of people with those systems. Intelligent buildings should be permanent, healthy, technologically advanced.

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Wood, Brian. "Intelligent building care." Facilities 17, no. 5/6 (May 1999): 189–94. http://dx.doi.org/10.1108/02632779910259288.

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Li, Xiao Di, Wei Ping Hu, and Xiao Ping Yang. "Thinking on the Water System Design Method of Intelligent Civil Ecological Agriculture Residential Buildings." Applied Mechanics and Materials 357-360 (August 2013): 487–91. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.487.

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The intelligent civil ecological agriculture residential building is the authors creative idea. The design of its water system, as one of the important contents, means providing water according to the demand of the vegetables and flowers growth intelligently, instead of watering by labors. In this way, humans planting experience and intelligence will be endowed with building facilities, thus constructing a small automatic family farming system with the symbiosis of man, machine and plant. Based on new achievements of modern science and technology, a reasonable energy-conservative and artistic water supply system is studied with logical method and application. In future, intelligent water supply in agriculture residential building is the trend, which could be achieved by intelligent application of modern electronic information technology.

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Wang, Jing, Quanzhou Tao, Yuqian An, Jiaxin Lu, Xuanting Gu, and Chunyan Wang. "Intelligent OPC Building Information Management System Based on IoT." Journal of Physics: Conference Series 2143, no. 1 (December 1, 2021): 012007. http://dx.doi.org/10.1088/1742-6596/2143/1/012007.

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Abstract With the rapid development of artificial intelligence, computers and Internet of Things technologies, building intelligence is becoming more and more popular. However, as the various functional subsystems and equipment of intelligent buildings are connected to each other, the traditional management system needs to monitor and modulate more and more programs, which will have a great impact on the interoperability of the subsystems. Therefore, a more complete and powerful management system is needed. OPC provides a unified standard that can effectively solve this problem. Therefore, the purpose of this article is to design an intelligent OPC building information management system based on the Internet of Things. This article first summarizes the development history and status quo of OPC technology, and then extends the design principles of building information management system based on OPC. Based on its design principles, a detailed analysis of the various subsystems of the building information management system, such as fire protection, intrusion prevention, monitoring, access control, and central air conditioning, is carried out. This article systematically explained the application of PID in the building information management system. And use comparative analysis method, observation method and other research forms to conduct experimental research on the intelligent OPC building information management system based on computer Internet of things. The research shows that compared with the traditional building management system, the intelligent OPC-based building management system researched in this paper can transmit information faster and have higher accuracy.

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Park, Sanguk, Sangmin Park, Myeong-in Choi, Sanghoon Lee, Tacklim Lee, Seunghwan Kim, Keonhee Cho, and Sehyun Park. "Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization." Sensors 20, no. 17 (August 31, 2020): 4918. http://dx.doi.org/10.3390/s20174918.

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Currently, many intelligent building energy management systems (BEMSs) are emerging for saving energy in new and existing buildings and realizing a sustainable society worldwide. However, installing an intelligent BEMS in existing buildings does not realize an innovative and advanced society because it only involves simple equipment replacement (i.e., replacement of old equipment or LED (Light Emitting Diode) lamps) and energy savings based on a stand-alone system. Therefore, artificial intelligence (AI) is applied to a BEMS to implement intelligent energy optimization based on the latest ICT (Information and Communications Technologies) technology. AI can analyze energy usage data, predict future energy requirements, and establish an appropriate energy saving policy. In this paper, we present a dynamic heating, ventilation, and air conditioning (HVAC) scheduling method that collects, analyzes, and infers energy usage data to intelligently save energy in buildings based on reinforcement learning (RL). In this regard, a hotel is used as the testbed in this study. The proposed method collects, analyzes, and infers IoT data from a building to provide an energy saving policy to realize a futuristic HVAC (heating system) system based on RL. Through this process, a purpose-oriented energy saving methodology to achieve energy saving goals is proposed.

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Buckman, A. H., M. Mayfield, and Stephen B.M. Beck. "What is a Smart Building?" Smart and Sustainable Built Environment 3, no. 2 (September 9, 2014): 92–109. http://dx.doi.org/10.1108/sasbe-01-2014-0003.

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Purpose – Within the building sector a lack of clarity in terminology does not help designers, clients or researchers. Non-domestic buildings have shown rapid increases in the use of advanced technology and control systems with varying drivers, many of which are labelled as intelligent. The term smart has been used interchangeably with intelligent without any clear distinction between the two. If the term Smart Buildings represented a separate, more advanced grouping, it would provide an opportunity to focus the future progress of non-domestic building development. The paper aims to discuss these issues. Design/methodology/approach – Drawing upon academic and industrial literature and experience, this paper reviews the scope of Intelligent Buildings and the current available definitions of Smart Buildings to form a clear definition of both smart and Intelligent Buildings. Findings – These definitions define the border between the intelligent and the (more advanced) Smart Building. The upper bound of the Smart Building is defined by (the future development of) the predictive building. Originality/value – This work provides a clear focus which will allow the progression of the non-domestic building sector by providing guidance and aspiration, as well as providing a platform upon which a large amount of technical work can be based.

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Xiong, Ai Min, Fei Yu Li, and Xuan Xie. "Intelligent Shading Control System Based on the Lonworks Bus." Applied Mechanics and Materials 273 (January 2013): 665–68. http://dx.doi.org/10.4028/www.scientific.net/amm.273.665.

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In order to improve the lighting and temperature control in large public buildings, intelligent shading technology has been growing attention. This intelligent shading control system is based on the Lonworks bus. It uses various sensors to detect indoor and outdoor light intensity and temperature changes automatically, the system provides reasonable the curtain control program to change the height of the curtains and the blade angle, to regulate indoor lighting and air-conditioning, reducing building energy consumption in all aspects. Common TCP / IP protocol is used to achieve a seamless connection with the building automation system. It concerns with energy saving, low carbon, environmental protection, intelligence concept of modern building.

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Po-chi, Lau, and Lam Yuen-man Bonnie. "An intelligent building index awarded building." Intelligent Buildings International 3, no. 1 (January 1, 2011): 55–62. http://dx.doi.org/10.3763/inbi.2010.0005.

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Dou, Xun, Yunfan Shao, Jun Wang, and Qinran Hu. "Heat-electricity joint bidding strategies for intelligent buildings in intelligent building cluster." International Journal of Electrical Power & Energy Systems 129 (July 2021): 106891. http://dx.doi.org/10.1016/j.ijepes.2021.106891.

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Du, Lingxia. "Integrated Wiring System of Intelligent Building Based on Internet of Things." Wireless Communications and Mobile Computing 2022 (July 19, 2022): 1–8. http://dx.doi.org/10.1155/2022/1086210.

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In order to explore how the intelligent building can realize the integrated wiring system, the author proposes an integrated wiring system for the intelligent building based on the Internet of Things. This method recommends key technical problems and solutions based on the information represented by the Internet of Things and explores the research on the realization of integrated wiring systems in intelligent buildings. Research has shown that the integrated wiring system of intelligent buildings based on the Internet of Things can solve the shortcomings of traditional buildings, and the happiness index of occupants has increased by about 15%. In the future, a building will be a platform, and each building will be an IoT unit and a cell body, making the Internet of Buildings possible and building a big data platform for the Internet of Buildings.

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Song, Ke, and Xiao Hui Cheng. "A Design of Novel Intelligent System of Single Phase Electric Meter for Building." Applied Mechanics and Materials 556-562 (May 2014): 1601–4. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1601.

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According to the number of users and the electricity measurement requirements for building, a novel intelligent system of single phase electric meter for building has been proposed in this paper. It is aiming at the application status and existing problems of watt-hour meter used in China. It has been designed by using the decentralized power parameter detection and centralized control method. The following designs of the intelligent system have been done in the study: the topological structure, hardware and software. According to the design of the intelligent system, the intelligent system of single phase electric meter for building can be developed. The electricity signal processing module, memory, GUI and the communication module are controlled by MCU. The intelligent system can easily measure various parameters, record data safety, calibrate meter with software, and it has more communication interface. The system can be realized functions, such as the monitoring, management, protection, wireless transmission and so on. It can be widely used in ordinary households, residential users, student apartments, office buildings, etc. to achieve the electricity detection, monitoring and controlling intelligently.

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Zhang, Yan Min, and Zong Liang Yang. "Application of the Intelligent Building Materials in the Green Energy-Saving Buildings." Applied Mechanics and Materials 539 (July 2014): 721–25. http://dx.doi.org/10.4028/www.scientific.net/amm.539.721.

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In this paper, the author points out the deficiency and a deviation of the construction of the present intelligent buildings, puts forward the extension and connotation of the intelligent buildings, further discusses the intelligent building materials as a means, and specifically summarizes the forms of a variety of intelligent building materials, such as the concrete, paint, glass and other aspects.

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Kim, Jong-Jin. "Intelligent building technologies: a case of Japanese buildings." Journal of Architecture 1, no. 2 (January 1996): 119–32. http://dx.doi.org/10.1080/136023696374712.

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Feng, Jin Mei, Xiang Ping Zhu, and Jian Ping Luo. "Solar Energy Used in Intelligence-Ecology Building." Advanced Materials Research 512-515 (May 2012): 159–62. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.159.

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In modern building, it is the irresistible trend to combine intelligence and ecology, for such intelligence-ecology building, ecology is goal and intelligence is method. In such building, comfortable for human being and natural environment preservation is not conflict. In order to achieve the ecology goal, which means energy-saving, environmental-protection, green-earth, and to utilize the natural resource in most efficient ways, it has to use the intelligent technology. In intelligence-ecology building, the comfortable for human body and zero-consumption of energy can be accomplished simultaneously by using intelligent technology to raise the solar energy usage substantially and to utilize the clean energy efficiently in heating, ventilating, refrigerating, and power- generating.

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Yasutomi, Shigefum. "Lighting of Intelligent Building." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 72, no. 3 (1988): 122–26. http://dx.doi.org/10.2150/jieij1980.72.3_122.

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Xu, Rui Yang, Xin Huang, Jie Zhang, Yulin Lu, Ge Wu, and Zheng Yan. "Software Defined Intelligent Building." International Journal of Information Security and Privacy 9, no. 3 (July 2015): 84–99. http://dx.doi.org/10.4018/ijisp.2015070105.

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The networks of intelligent building are usually consist of a great number of smart devices. Since many smart devices only support on-site configuration and upgrade, and communication between devices could be observed and even altered by attackers, efficiency and security are two key concerns in maintaining and managing the devices used in intelligent building networks. In this paper, the authors apply the technology of software defined networking to satisfy the requirement for efficiency in intelligent building networks. More specific, a protocol stack in smart devices that support OpenFlow is designed. In addition, the authors designed the lightweight security mechanism with two foundation protocols and a full protocol that uses the foundation protocols as example. Performance and session key establishment for the security mechanism are also discussed.

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McRoy, Susan W., Syed S. Ali, Angelo Restifficar, and Songsak Channarukul. "Building intelligent dialog systems." intelligence 10, no. 1 (March 21, 1999): 14–23. http://dx.doi.org/10.1145/298475.298484.

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Motiwalla, J., M. Yap, and L. H. Ngoh. "Building the intelligent island." IEEE Communications Magazine 31, no. 10 (October 1993): 28–34. http://dx.doi.org/10.1109/35.237979.

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Li, Mao Ren. "Building Equipment Intelligent Control Network Using Multiplexing." Applied Mechanics and Materials 433-435 (October 2013): 1119–22. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1119.

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The computer digitizing system into intelligent building system, the multiplexing network mode is used in the field of construction equipment, intelligent control, improved building automation level, to achieve a more technical construction of buildings higher requirements, in line with China's national conditions.

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Golub, Kristina. "GENERALIZATION OF THE SCIENTIFIC RESEARCHES OF THE INTELLIGENT OFFICE BUILDINGS FORMATION FEATURES." Urban development and spatial planning, no. 77 (May 24, 2021): 123–37. http://dx.doi.org/10.32347/2076-815x.2021.77.123-137.

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The article analyzes the scientific works of scientists in the field of engineering and architectural design that have influenced on intelligent office buildings formation. The main criteria for assessing the intelligent buildings in Asia, Europe and America are considered. There are differences in approaches in different parts of the world. Particularly in Asia, the system takes into account the impact on the environment, employee health, comfortable working conditions, the introduction of modern technologies, safety, return on investment, etc. The assessment system named Intelligent Building Index (IBI) consists of 10 Quality Environment Modules (QEM), which have different weights depends on intelligent building type. The second level of the IBI method included a list of 378 criteria, each of which was evaluated by a system of 1 to 100 points. In Europe, it focuses on the interaction of intelligent buildings with humans and the environment, also on minimizing energy consumption and operating costs. In most European countries, intelligent buildings are assessed by Building Research Establishment Environmental Assessment Method, BREEAM. In the United States, priority approaches are related to the principles of sustainability and adaptability to rapid changes in technology and human needs. One of the most common criteria for assessing buildings in the United States is the system Leadership in Energy and Environmental Design, LEED. The basic architectural methods are singled out: using the wind generators and photovoltaic elements on facades; the arrangement of facades with double glazing; application of automatic blinds between two layers of glazing, etc. It is proved that the intelligent building is not a usual building that just uses an automation building management system (BMS), but first of all, is an "intelligent architecture" with providing sustainable principles and requiring an integrated approach from the first designing stage.

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Jiang, Yi. "Intelligent Building Construction Management Based on BIM Digital Twin." Computational Intelligence and Neuroscience 2021 (December 14, 2021): 1–11. http://dx.doi.org/10.1155/2021/4979249.

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In order to improve the construction effect of intelligent buildings, this paper combines the BIM digital twin technology to construct the overall structure of the building construction operation and maintenance system driven by the BIM digital twin. Moreover, this paper conducts intelligent simulation of the construction process of the building and combines the construction process of the intelligent building to apply the BIM digital twin technology to the construction management of the intelligent building. In addition, this paper uses BIM to simulate the construction process. After the construction management plan is developed, BIM can be used to simulate the construction, find the problems in the construction, and formulate a reliable construction management plan in time. Through simulation experiment research, it can be known that the intelligent building construction management model based on BIM digital twin proposed in this paper can help the deployment of intelligent building construction process in many aspects and help improve the efficiency of building construction management.

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Cheng, Weibin, Wanmin Lian, and Junzhang Tian. "Building the hospital intelligent twins for all-scenario intelligence health care." DIGITAL HEALTH 8 (January 2022): 205520762211078. http://dx.doi.org/10.1177/20552076221107894.

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The COVID-19 pandemic has accelerated a long-term trend of smart hospital development. However, there is no consistent conceptualization of what a smart hospital entails. Few hospitals have genuinely reached being “smart,” primarily failing to bring systems together and consider implications from all perspectives. Hospital Intelligent Twins, a new technology integration powered by IoT, AI, cloud computing, and 5G application to create all-scenario intelligence for health care and hospital management. This communication presented a smart hospital for all-scenario intelligence by creating the hospital Intelligent Twins. Intelligent Twins is widely involved in medical activities. However, solving the medical ethics, protecting patient privacy, and reducing security risks involved are significant challenges for all-scenario intelligence applications. This exploration of creating hospital Intelligent Twins that can be a worthwhile endeavor to assess how to inform evidence-based decision-making better and enhance patient satisfaction and outcomes.

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Dushkin, Roman, and Mikhail Grigor'evich Andronov. "An intelligent algorithm for creating control actions on engineering systems of intelligent buildings." Программные системы и вычислительные методы, no. 2 (February 2020): 69–83. http://dx.doi.org/10.7256/2454-0714.2020.2.31041.

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The article describes an algorithm for generating control actions on various engineering systems of an intelligent building, individually or in combination, within the framework of intelligent control of the parameters of the internal environment of such a building. The intelligence of the algorithm is due to the possibility of its autonomous operation and adaptability in relation to the parameters of the internal environment in relation to which the monitoring and control is carried out. The article provides a brief description of the algorithm, as well as a mathematical model for the selection and application of control actions. As a research method, a set-theoretic approach to modeling management processes was adopted, as well as BPMN notation for representing algorithms. The novelty of the issue under consideration is due to the use of a functional approach for the development of an intelligent algorithm, as well as the use of methods of distributed computing and computing on terminal devices within the framework of the hybrid paradigm of artificial intelligence. The relevance of the presented model is based on the need to translate the life cycle management processes of buildings and structures into the Industry 4.0 paradigm in order to increase their degree of intelligence. The article will be of interest to scientists and engineers working in the field of automation of technological and production processes. The present work is theoretical.

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Lam, King Hang, Wai Ming To, and Peter K. C. Lee. "Smart Building Management System (SBMS) for Commercial Buildings—Key Attributes and Usage Intentions from Building Professionals’ Perspective." Sustainability 15, no. 1 (December 21, 2022): 80. http://dx.doi.org/10.3390/su15010080.

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Smart buildings conserve energy and create a responsive, comfortable, and productive indoor environment for users and occupants. As a crucial component of smart buildings, smart building management system (SBMS) should provide a wide range of functions and bring about the intended benefits upon successful deployment. This paper identifies salient SBMS attributes and explores key factors influencing building professionals’ intention to use the system in commercial buildings. Responses were collected from 327 Hong Kong building professionals. Data were analyzed by exploratory factor analysis and structural equation modeling based on the refined Unified Theory of Acceptance and Use of Technology (UTAUT). Exploratory factor analysis shows that intelligent building operations and safety and recovery readiness are two dimensions of SBMS emerged. Specifically, intelligent building operations include intelligent and optimal scheduling of building systems, monitor and control of building facilities, having an intelligent and interactive interface, and enabling alarm settings and automatic notifications, showing the importance on the application of electrical engineering in smart building management. Structural equation model (SEM) results indicate that facilitating conditions affect habit, hedonic motivation, social influence, performance expectancy and effort expectancy. Additionally, habit, hedonic motivation and effort expectancy significantly affect building professionals’ intention to use SBMS. Practical implications of SBMS attributes for energy management and the ways in which SBMS is encouraged to be used by building professionals are given.

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Kahraman, Cengiz, and Ihsan Kaya. "A FUZZY MULTIPLE ATTRIBUTE UTILITY MODEL FOR INTELLIGENT BUILDING ASSESSMENT." Journal of Civil Engineering and Management 18, no. 6 (November 20, 2012): 811–20. http://dx.doi.org/10.3846/13923730.2012.720932.

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Multi-Attribute Utility Theory (MAUT) is an evaluation scheme which is very popular by decision makers for evaluating their judgments. According to MAUT, the overall evaluation U(x) of an object x is defined as a weighted addition of its evaluation with respect to its relevant value dimensions. The recent years have witnessed a huge concentration and interest in intelligent buildings’ performance that is increasingly evidenced in building design and construction. Intelligent buildings (IBs) are also under assessment according to their IB related characteristics and actual circumstances. For this aim, in this paper a fuzzy multiple attribute utility model for intelligent building assessment is proposed and three alternative intelligent buildings for a business center in Istanbul are evaluated.

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Fu, Hui. "Thermal energy constant temperature control system of building energy system based on dynamic analysis method." Thermal Science 25, no. 4 Part B (2021): 2881–88. http://dx.doi.org/10.2298/tsci2104881f.

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If the intelligent building?s indoor environment?s constant temperature is accurately controlled, the comfort of the building can be improved. When we perform constant temperature control, there will be large fluctuations in the supply air temperature, which results in the traditional methods that cannot control the temperature within a reasonable range. Therefore, the paper proposes an optimal control method for the indoor environment constant temperature of intelligent buildings. In the IoT environment, we integrate the multi-agent technology to design the temperature fuzzy control structure, determine the input and output variables of the intelligent building temperature control system and its fuzzy set, use the dynamic analysis method to modify the fuzzy rules, and integrate it with bilinear The control algorithm builds a dynamic temperature control model for intelligent buildings to maintain the indoor temperature at the set value when the supply air temperature fluctuates significantly. This method makes up for the shortcomings that the current system cannot adapt to the intelligent building environment changes. The simulation results show that compared with the traditional algorithm, the improved algorithm can significantly improve the robustness of the intelligent building constant temperature control, and the temperature control stability is vital.

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To, Wai, Linda Lai, King Lam, and Andy Chung. "Perceived Importance of Smart and Sustainable Building Features from the Users’ Perspective." Smart Cities 1, no. 1 (November 30, 2018): 163–75. http://dx.doi.org/10.3390/smartcities1010010.

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Smart and sustainable buildings have been designed, built and utilized in order to consume less energy, facilitate efficient building operation, and improve the comfort, health and productivity of users. Hence, they become a critical component of smart cities. Nonetheless, perceived importance rankings of different features of smart and sustainable buildings have yet to be identified and prioritized from the users’ perspective. Based on responses from 494 building users in Hong Kong, it was found that building users tended to focus more on intelligent security systems, followed by intelligent and responsive fresh air supply and lifts and escalators. On the other hand, building users generally considered the systems that monitor people’s movement and harvest rain water to be the least important features. Exploratory factor analyses were used to identify key factors of perceived smartness and sustainability of a building. The results of factor analyses showed that different user groups would characterize a building’s smartness differently.

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Chen, Zhe Liang, and Fu Lin Wang. "An Investment-Benefit Assessing Approach for Intelligent Buildings." Applied Mechanics and Materials 507 (January 2014): 157–62. http://dx.doi.org/10.4028/www.scientific.net/amm.507.157.

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For the purpose of achieving high performance of intelligent buildings, it needs to pay expanses for maintaining the intelligent systems. So it is in great need to analyze the costs and benefits of building intelligent system to help building owners to make decision on installing intelligent systems or not. This paper proposes an investment-benefit assessing approach for building intelligent systems. Net Present Value (NPV) is used as an index to evaluate the performance of building intelligent system. The NPV is calculated by analyzing the initial capital investment, maintenance costs, and the tangible and intangible benefits in building life cycle. The intangible benefits are quantified using a series of indexes which represent the cash flows brought by the intangible benefits. Different weights of these indexes are used to express the different contributions of these intangible benefits. Analytical Hierarchy Process (AHP) method [ is used to quantify the weights of the indexes.

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Wong, Johnny, Heng Li, and Jenkin Lai. "Evaluating the system intelligence of the intelligent building systems." Automation in Construction 17, no. 3 (March 2008): 284–302. http://dx.doi.org/10.1016/j.autcon.2007.06.002.

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Wong, Johnny, Heng Li, and Jenkin Lai. "Evaluating the system intelligence of the intelligent building systems." Automation in Construction 17, no. 3 (March 2008): 303–21. http://dx.doi.org/10.1016/j.autcon.2007.06.003.

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Zhang, Ke. "Research on Building Intelligent Technology Based on Modern Information Artificial Intelligence Building Concept." Journal of Physics: Conference Series 2037, no. 1 (September 1, 2021): 012101. http://dx.doi.org/10.1088/1742-6596/2037/1/012101.

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Wan, Yan, Yujia Zhai, Xiaoxiao Wang, and Can Cui. "Evaluation of Indoor Energy-Saving Optimization Design of Green Buildings Based on the Intelligent GANN-BIM Model." Mathematical Problems in Engineering 2022 (May 24, 2022): 1–10. http://dx.doi.org/10.1155/2022/3130512.

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The present research showcases the Indoor Energy-Saving Optimization Design of green buildings. This integrated approach synergizes a building’s Indoor Energy-Saving process based on the intelligent GANN-BIM model. The GANN-BIM model is driven by genetic algorithms (GAs), which include artificial neural networks (ANNs) along with building information models (BIMs). Building information modeling (BIM) is a technology that involves the modeling and management of digital representation of all forms of structural buildings. These intelligent models can be exchanged and extracted in the form of files and are mainly used for the designing and decision-making of a building. The BIM model is empowered as an intelligent technology by incorporating artificial neural networks (ANNs) and genetic algorithms (GAs). The main objective of the research is Indoor Energy-Saving by implementing an optimized design of green buildings. Green buildings can benefit from the GANN-BIM model’s ability to handle complex and conflicting design requirements while using less computational power during the evaluation of the proposed approach. There are a variety of new green building technologies being developed, but they all share a common goal: to reduce human health and environmental impact by maximizing energy, water, and other resource efficiencies; protecting occupant health; reducing waste; and decreasing pollution. The empirical results of GANN-BIM proved that the proposed model outperforms well in enhancing energy evaluation.

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Fisk, David. "Cyber security, building automation, and the intelligent building." Intelligent Buildings International 4, no. 3 (July 2012): 169–81. http://dx.doi.org/10.1080/17508975.2012.695277.

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Wong, Johnny K. W., and Heng Li. "Development of intelligence analytic models for integrated building management systems (IBMS) in intelligent buildings." Intelligent Buildings International 1, no. 1 (January 2009): 5–22. http://dx.doi.org/10.3763/inbi.2009.0011.

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Duan, Chuan. "Application of Mathematical Methods Based on Improved Fuzzy Computing in Building and Urban Design in the Environment of Industry 4.0." Computational Intelligence and Neuroscience 2022 (May 27, 2022): 1–12. http://dx.doi.org/10.1155/2022/3449431.

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In order to improve the performance of the urban building in urban design, this paper uses the mathematical method based on an improved fuzzy calculation to construct an intelligent building and urban design system. Moreover, this paper quantitatively studies the pedestrian wind environment of high-rise buildings and determines the optimal building aerodynamic shape and optimal building layout in the full wind direction. In addition, based on the results of the whole watershed analysis of CFD numerical simulation, this paper reveals the mechanism of building shape and layout in the pedestrian wind environment of high-rise buildings. Finally, this paper constructs an intelligent model to improve the effect of urban architectural design. Through the model research results, we can see that the urban design intelligent system proposed in this paper meets the needs of urban design in the environment of Industry 4.0.

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Yu, Jun Qi, Bo Dang, Derek Clements-Croome, and Shuo Xu. "Sustainability Assessment Indicators and Methodology for Intelligent Buildings." Advanced Materials Research 368-373 (October 2011): 3829–32. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.3829.

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The sustainable intelligent building is a building that has the best combination of environmental, social, economic and technical values. And its sustainability assessment is related with system engineering methods and multi-criteria decision-making. Therefore firstly, the wireless monitoring system of sustainable parameters for intelligent buildings is achieved; secondly, the indicators and key issues based on the “whole life circle” for sustainability of intelligent buildings are researched; thirdly, the sustainable assessment model identified on the structure entropy and fuzzy analytic hierarchy process is proposed.

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Zyda, Michael. "Building a Human-Intelligent Metaverse." Computer 55, no. 9 (September 2022): 120–28. http://dx.doi.org/10.1109/mc.2022.3182035.

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Lv, Cai Zhong. "Intelligent Building and Green City." Advanced Materials Research 243-249 (May 2011): 5785–88. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.5785.

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Building automation system today employs an array of subsystems, communication protocols, data formats and software platforms. Some of these are proprietary, others are standards-based, but in neither case can true integration and interoperability be achieved. In addition to this, the traditional isolated subsystem within a building prevent renter and visitor from easily accessing the building resource and property manager from managing and maintaining the building. To address these issues, we describe a novel type of intelligent building system that merges IT technology with automation control technology. It allows devices from different manufactures to be integrated together seamlessly within one WEB-enable automation system; that enable property manager configuring, monitoring, and maintenance of heterogeneous subsystems with a unified application from a browser anywhere and anytime. It is seen that this approach provides the possibility to leverage current building automation technology into next high level.

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Vakilinezhad, R., S. Majid Mofidi, and Mohsen Faizi. "Intelligent Building Materials and Systems." International Journal of Technology, Knowledge, and Society 6, no. 5 (2010): 119–30. http://dx.doi.org/10.18848/1832-3669/cgp/v06i05/56140.

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Journal articles on the topic 'Intelligent building'

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