Author:
Li Chengfan,Gu Shanming,Guo Gang,Liu Xuefeng,Liu Lan,Zhao Junjuan
Abstract
AbstractAs a comprehensive utilization of pipeline resources, communication intelligent manhole cover (CIMC) can effectively real-time monitor communication manhole cover and protect the safety of communication pipeline. Due to the complex working environment of manhole cover and the random error of sensor, the traditional monitoring method usual leads to frequent false alarm in actual applications. In order to ensure the monitoring service quality and improve the service efficiency, a new alarm method of CIMC with multiple event fusion in this paper via jointing analysis of multi-sensor status signals is proposed based on the equipment status signals generated by the CIMC terminal and abnormal alarm events definition. The experimental result shows that the proposed CIMC alarm method by means of multiple sensor signals in this paper can not only make up for the defect of a single sensor, but also reduces the false alarm rate caused by the random error of sensor and CIMC system. It can promote the intelligent monitoring efficiency of the manhole cover and be conducive to the construction of intelligent transportation and smart city.
Funder
Science and Technology Commission Shanghai Municipality
Graduate Innovation and Entrepreneurship Program in Shanghai University in China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Signal Processing
Reference42 articles.
1. L. Hang, D.H. Kim, Reliable task management based on a smart contract for runtime verification of sensing and actuating tasks in IoT environments. Sensors 20(4), 1207 (2020)
2. Z. Guan, G. Si, X. Zhang, L.F. Wu, N. Guizari, X.J. Du, Y.L. Ma, Privacy-preserving and efficient aggregation based on blockchain for power grid communications in smart communities. IEEE Commun. Mag. 56(7), 82–88 (2018)
3. G. Guo, X.F. Liu, Generation and algorithm implementation of communication intelligent manhole cover alarm events supported by internet of things. Ind. Control Comput. 33(5), 42–44 (2020)
4. Q. Zhang, C. Zhou, N. Xiong, Y. Qin, X. Li, S. Huang, Multimodel-based incident prediction and risk assessment in dynamic cybersecurity protection for industrial control systems. IEEE Trans. Syst. Man Cybern. Syst. 46(10), 1429–1444 (2015)
5. X.X. Yang, S.J. Zhou, M. Cao, An approach to alleviate the sparsity problem of hybrid collaborative filtering based recommendations: the product-attribute perspective from user reviews. Mob. Netw. Appl. 25(2), 376–390 (2020)
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献