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The existing power grid fault information acquisition methods are inefficient, slow and inaccurate, which are difficult to adapt to the growing demand of the power grid in the Internet of Things environment. In order to realize the intelligent monitoring and management of large-scale power equipment, the paper can start from the sensor level of the network, and use front-end sensors and ZigBee wireless line networking to complete the collection, aggregation and upload of information. This paper designs a power grid equipment fault monitoring system which is suitable for power grid monitoring. The circuit reset diagram is designed accordingly. According to the characteristics of wide distribution of data collection, the software function model to ensure the accuracy of data collection is established. The experimental results show that the fault information acquisition system can realize a large number of processing.
Chen et al. (Tue,) studied this question.
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