Power supply reliability is an important performance index of distribution network, and the traditional relay protection mode is the key role to ensure power supply reliability. However, when faults often occur, the power supply restoration time of the traditional relay protection mode is long, so it is difficult to meet the requirements of distribution network for fast fault recovery. In view of this disadvantage, a quick centralized feeder automation control system is proposed in this paper, which realizes the rapid transmission and processing of information and shortens the fault isolation time and power supply recovery time through the transmission of short data packet format. In addition, the signal based on Beidou timestamp is introduced to locate the fault point quickly and accurately. Finally based on the real time digital simulator (RTDS), a simulation test platform is built to verify the correctness and effectiveness of the quick centralized feeder automation control system.
KEYWORDS: Environmental monitoring, Sensors, Agriculture, Meteorology, Internet of things, Clouds, Environmental sensing, Design and modelling, Wireless communications, Data communications
Aiming at the lack of intelligent comprehensive monitoring and data analysis of environmental meteorology in agricultural production activities, a monitoring platform integrating IoT technology is designed for smart agricultural meteorological station. A three-layer system of sensor terminal, IoT convergence gateway and cloud monitoring platform is constructed to realize real-time uploading and recording of agricultural meteorological data through Internet wireless communication module. A cloud platform and visual monitoring background which can support the concurrent access of more than 1000 distributed meteorological monitoring stations are designed and developed. The local maintenance of the weather monitoring station is realized by the mobile APP, which can set and modify the parameters of the station. Through practical application tests, the environmental meteorological parameters can be monitored in real-time, comprehensively and accurately, and the meteorological data can be recorded flexibly by the platform. The platform is convenient to operate and maintain, and its functions are easy to expand. It can provide important data support for the development of agricultural activities and play an important role in promoting the mature development of smart agriculture.
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