Abstract
Aiming at the problems of slow monitoring speed and low accuracy in the process of power wireless private network monitoring and automated operation and maintenance, a network monitoring method based on distributed big data stream processing is proposed. The monitoring data source of the system node to be tested is collected by sensors to grasp the operation status of the power grid and collect data in real time. At the same time, the Storm computing framework is used to process real-time detection of equipment faults in real time to meet the needs of rapid processing such as power grid status monitoring abnormal detection and fault analysis. Simulation experiment results show that the distributed big data stream processing proposed in this paper has a great advantage in the processing of data of electric power wireless private network, which greatly improves the data efficiency of the power grid.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wu, R.J., Wei, W.: Research on radio monitoring data quality and cleaning technology. J. China Radio. 36–39 (2019)
Xu, Y., Zhou, S.W., Ding, F.: Research on evaluation and optimization methods of radio monitoring station deployment efficiency. J. Chin. J. Sens. Actuators 1389–1392 (2018)
Ying, Y.Z., Xie, J.W.: Research on signal monitoring technology based on sensor cooperative network. J. Radio Eng. 15–18 (2014)
Liu, S.R., Song, Y.Q., Zhu, Y.L., Wang, D.W.: Research on storage of smart grid state monitoring data based on Hadoop. J. Comput. Sci. 40(1), 81–84 (2013)
Wang, D.W., Xiao, K., Xiao, L.: Hive-based power equipment status information data warehouse. J. Power Syst. Prot. Control 41(9), 125–130 (2013)
Zhao, J.K., Yang, G.F., Mu, L.S.: Application research of data stream technology in power grid automation. J. Power Syst. Technol. 35(8), 6–11 (2011)
Sun Q., Jiang S.Y. (2019) Streaming big data real-time processing technology, platform and application. J. China Collective Economy., 156–157
Yao, J., Zhang, H., Wei, L., Guo, J.: Research on planning and evaluation method of spectrum monitoring system for electric power wireless private network. Electr. Power Eng. Technol. 38(04), 62–67 (2019)
Wang, H., Gu, S., Wan, Y.S., Yu, J.: Tracking and locating method of interference source for power wireless private network. Guangdong Electr. Power 32(06), 86–93 (2019)
Zhang, Y., Cao, W., Shao, S.: Hybrid monitoring sleep method for low-power wireless sensor network nodes. Comput. Technol. Dev. 26(10), 196–199 (2016)
Acknowledgments
This research was funded by the Scientific Project Subsidized by STATE GRID Corporation of China, grant number 5700-201919233A-0-0-00.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zheng, W., Liu, J., Liu, Z., Fang, J., Qi, W., Xiao, Q. (2021). A Monitoring Method of Power Wireless Private Network Based on Distributed Big Data Stream Processing. In: Tavana, M., Nedjah, N., Alhajj, R. (eds) Emerging Trends in Intelligent and Interactive Systems and Applications. IISA 2020. Advances in Intelligent Systems and Computing, vol 1304. Springer, Cham. https://doi.org/10.1007/978-3-030-63784-2_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-63784-2_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-63783-5
Online ISBN: 978-3-030-63784-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)