Abstract
With the increase in user load and the increase in the rate of cable distribution in the distribution network, the distribution station room has gradually become one of the main power distribution facilities in the urban distribution network. Due to the large number of equipment, wide distribution, changeable geographical environment, and susceptibility to user capacity expansion and urban construction, the 10 KV power distribution station room makes it difficult to implement safety and defense measures, environmental monitoring measures and inspections for the power distribution station room. Therefore, it is of great significance to establish a 10 KV distribution station room environmental monitoring system based on the IoT. The purpose of this article is to study the environmental monitoring and evaluation of the 10 KV distribution station room based on the IoT. This research uses IoT sensor technology to intelligently monitor the environment of the 10 KV distribution station room. Through real-time monitoring, analysis and calculation of related data, the system provides management and service functions such as real-time status monitoring, alarm linkage, and statistical reports. The monitoring system designed in this study is compatible and expandable, and can adapt to the ever-increasing smart demand of smart grids. The system function test data shows that the minimum relative error of the data collected by the sensor is 0 and the maximum is 1.68%. It can be seen that the humidity measurement of the sensor is more accurate and the error is small, and it can realize the monitoring of the environmental data of the 10 KV power distribution station room.
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Acknowledgements
This paper is funded by the Science and Technology Project of State Grid Liaoning Electric Power Company Ltd (2018YF-38), Research on dynamic environment monitoring and evaluation technology of 10 KV distribution station building based on Internet of things.
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Ni, C., Sun, Y., Niu, F., Cai, J. (2022). Environmental Monitoring and Evaluation of 10 KV Distribution Station Room Based on Internet of Things. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 98 . Springer, Cham. https://doi.org/10.1007/978-3-030-89511-2_52
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DOI: https://doi.org/10.1007/978-3-030-89511-2_52
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