Abstract
This paper introduces Insect Intelligent Building (I2B), a new architecture of building control systems based on Internet of Things (IoT). It has the following key features that are missing in the traditional solutions: (1) it has built-in agent models for space units and control devices; (2) it has built-in link models for immediate connections between space units and control devices; (3) it assigns a smart controller (called insect) for each space unit or each control device with six data ports (called legs) and these controllers communicate with each other only through their data ports according to the link models; (4) it decompose various building operation/management commands into computing tasks that run on smart controllers and depends on the collaborations among neighboring controllers to achieve the desired effects of the commands. Different from the traditional centralized solutions, this new architecture allows the building control systems to be developed in before the buildings are really built and simplify the installation and configuration of the building control systems.
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Notes
- 1.
It is the feature that the smart controllers with six legs (refers to the data ports) interconnect to achieve the overall control/management function of the buildings makes us call buildings controlled under our new control architecture “Insect Intelligent Buildings (I2B)”.
- 2.
A node is known as a CPN (Computing Process Node) in [4].
References
Bushby, S.T.: BACnet today: Significant new features and future enhancements. ASHRAE J. 44, 10–18 (2002)
Fernbach, A., Granzer, W., Kastner, W.: Interoperability at the management level of building automation systems: a case study for BACnet and OPC UA. In: Proceedings of the IEEE 16th Conference on Emerging Technologies Factory Automation (ETFA), pp. 1–8. IEEE Press, New York (2011)
Domingues, P., Carreira, P., Vieira, R., et al.: Building automation systems: concepts and technology review. Comput. Stand. Interfaces 45, 1–12 (2016)
Jiang, Z., Dai, Y.: A decentralized, flat-structured building automation system. Energy Procedia 122, 68–73 (2017)
Weinstein, R.: RFID: A technical overview and its application to the enterprise. IT Prof. 7(3), 27–33 (2005)
Wang, Y., Zhao, Q.: A distributed algorithm for building space topology matching. In: Fang, Q., et al. (eds.) Advancements in Smart City and Intelligent Building, Advances in Intelligent Systems and Computing 890, Chap. 37 (2019)
Lynch, N.A.: Distributed Algorithms. Morgan Kaufmannm, San Francisco (1996)
Buford, J., Yu, H., Lua, E.K.: P2P Networking and Applications. Morgan Kaufmann, San Francisco (2008)
Zhao, Q., Wang, X., Wang, Y., et al.: A P2P algorithm for energy saving of a parallel-connected pumps system. In: Fang, Q., et al. (eds.) Advancements in Smart City and Intelligent Building, Advances in Intelligent Systems and Computing 890, Chap. 36 (2019)
Han, G., Chen, X. Zhao, Q.: Decentralized differential evolutionary algorithm for large-scale networked systems. In: Fang, Q., et al. (eds.) Advancements in Smart City and Intelligent Building, Advances in Intelligent Systems and Computing 890, Chap. 38 (2019)
Dai, Y., Jiang, Z., Shen, Q., et al.: A decentralized algorithm for optimal distribution in HVAC systems. Build. Environ. 95, 21–31 (2016)
Yu, H., Zhao, T., Zhang, J., Li, X.: A decentralized algorithm to optimize multi-chiller systems in the HVAC system. In: 2017 Chinese Automation Congress (CAC) (2017)
Jia, Q.S., Wang, H., Lei, Y., et al.: A decentralized stay-time based occupant distribution estimation method for buildings. IEEE Trans. Autom. Sci. Eng. 12(4), 1482–1491 (2015)
Acknowledgements
This work was supported by the National Key Research and Development Project of China (No. 2017YFC0704100 entitled New generation intelligent building platform techniques, and 2016YFB0901900), the National Natural Science Foundation of China (No. 61425027), the 111 International Collaboration Program of China under Grant B06002, BP2018006 and Special fund of Suzhou-Tsinghua Innovation Leading Action (Project Number: 2016SZ0202).
We appreciate the advice of Prof. Yi Jiang from Tsinghua University, Beijing, China, during the procedure in developing the proposed architecture and a lot of discussions with Prof. Qiansheng Fang from Anhui Jianzhu University, Hefei, China, Jilin Zhang from Dalian University of Technology, Dalian, China and Jianchun Xing from The Army Engineering University of PLA, Nanjing, China and insightful comments from Prof. Zhenya Zhang from Anhui Jianzhu University, Hefei, China, Xi Cheng from Tsinghua University, Beijing, China, Li Xia from Tsinghua University, Beijing, China, Tianyi Zhao from Dalian University of Technology, Dalian, China, Qiliang Yang from The Army Engineering University of PLA, Nanjing, China and Dr. Yunchuang Dai from Tsinghua University, Beijing, China.
We also appreciate constructive comments from the anonymous reviewers.
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Zhao, Q., Jiang, Z. (2019). Insect Intelligent Building (I2B): A New Architecture of Building Control Systems Based on Internet of Things (IoT). In: Fang, Q., Zhu, Q., Qiao, F. (eds) Advancements in Smart City and Intelligent Building. ICSCIB 2018. Advances in Intelligent Systems and Computing, vol 890 . Springer, Singapore. https://doi.org/10.1007/978-981-13-6733-5_42
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DOI: https://doi.org/10.1007/978-981-13-6733-5_42
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