计算机工程与应用 ›› 2019, Vol. 55 ›› Issue (18): 263-270.DOI: 10.3778/j.issn.1002-8331.1901-0458

• 工程与应用 • 上一篇    

基于边缘计算的建筑设备状态感知模型与应用

吴宏杰,沈华祥,凌华靖,傅启明,陆卫忠,付保川   

  1. 1.苏州科技大学 电子与信息工程学院,江苏 苏州 215009
    2.苏州大学 江苏省计算机信息处理技术重点实验室,江苏 苏州 215006
    3.苏州科技大学 江苏省建筑智慧节能重点实验室,江苏 苏州 215009
  • 出版日期:2019-09-15 发布日期:2019-09-11

Construction Equipment State Perception Model and Application Based on Edge Computing

WU Hongjie, SHEN Huaxiang, LING Huajing, FU Qiming, LU Weizhong, FU Baochuan   

  1. 1.School of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou, Jiangsu 215009, China
    2.Jiangsu Provincial Key Lab for Information Processing Technologies, Soochow University, Suzhou, Jiangsu 215006, China
    3.Jiangsu Province Key Laboratory of Intelligent Building Energy Efficiency, Suzhou University of Science and Technology, Suzhou, Jiangsu 215009, China
  • Online:2019-09-15 Published:2019-09-11

摘要: 随着智能化建筑数量的剧增与智能化水平的提高,建筑智能设备状态感知成为了关系到社会公共安全方面重要问题之一。目前,建筑设备感知系统大多基于服务器集中计算架构,存在存储数据量大、通信带宽要求高、节点自主性不够等问题,往往容易造成建筑设备感知实时性不足、网络成本高的问题。由此,提出一种基于边缘计算的建筑设备状态感知模型,设计了边缘状态感知与缓存算法,建立了一组边缘通信与状态感知协议,形成了边缘隐私数据信任与安全机制,同时,引入基于边缘数据的智能决策技术,从而不仅缓解了中心服务器的计算与存储压力,而且有效提升了整个系统的自主感知能力、安全性与健壮性。最后,依托该模型实现了一个运维示范系统,在S城市管理中进行了应用。

关键词: 边缘计算, 建筑设备, 状态感知

Abstract: With the rapid increasement of the number of intelligent buildings and the improvement of the intelligence, the state-aware of intelligent devices have become one of the key issues related to social public safety. At present, most of the building equipment state-aware systems are based on the server centralized computing architecture which involves the problems of high communication bandwidth, computation and storage pressures. These problems always lead to the lack of real-time perception of building equipment and high network cost. Therefore, this paper proposes a model of state-aware of building equipment based on edge computing. In this paper, it designs an edge state perception, caching algorithm and establishes a set of edge communication and state-aware protocol. An edge privacy data trust and security mechanism is also formed in this paper. At the same time, this paper introduces an intelligent decision technology based on edge data. This model will not only just relieve the computing and storage pressure of the central server but also effectively improve the autonomic state-aware, security and robustness of the entire system. Finally, the model is applied on a maintenance system, which has been applied in S city management.

Key words: edge computing, building equipment, state-aware