Abstract
Power equipment is of great importance to the power of things, the operation of equipment directly impact on the safety and stability of the power of things. Therefore, it is important to ensure secure and stable operation of the power grid by prejudging monitoring, observing and fault diagnosis of power equipment. A fault diagnosis method of power equipment based on the technology of power internet of things and KNN algorithm is proposed in this paper. Through the real-time sensing and data acquisition of the basic equipment status in power network operation, the equipment status is analyzed and prejudged, which can provide alarm signals of the equipment to avoid greater security risk.
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