Health evaluation method based on full-life-cycle data of electric energy meter

Abstract

The invention relates to a health evaluation method based on full-life-cycle data of an electric energy meter. According to full-life-cycle data of the electric energy meter, the electric energy meterserves as a node, data requirements are integrated, data cleaning and feature screening are completed, fault factors and feature attributes of the electric energy meter are extracted through a data mining algorithm, health scoring is conducted on the electric energy meter through a comprehensive evaluation algorithm, and health grades are divided. The method is deeply ploughed in the power industry based on a big data concept, power grid internal data and external environment data are fused, influence analysis is performed on health-related factors of the electric energy meter, an electric energy meter fault prediction model is constructed, the operation state of the electric energy meter is evaluated according to the mounting and dismounting times, the event reporting times, the acquisition success rate, the acquisition electric quantity abnormality rate, the operation duration, the first inspection error and other dimension data of the electric energy meter, a health evaluation system of the electric energy meter is established, and the health degree of the operation state of the electric energy meter is given.

Description

technical field [0001] The invention belongs to the technical field of electric power big data application, and in particular relates to a health evaluation method based on the whole life cycle data of electric energy meters. Background technique [0002] With the rapid development of smart grid technology, technologies such as electronic transformers, intelligent high-voltage electrical appliances, optical fiber Ethernet and IEC61850 communication standards have been gradually promoted and applied in smart substations. In order to implement the development strategy and service system of the construction of the State Grid Corporation of China and the construction of smart grids and smart electricity consumption, electric energy meters have also been popularized and applied along with the rise of smart grids in my country. However, the electric energy meters installed in the early stage faced the problem of dismantling and testing for reuse. Hebei Company took the lead in est...

AI Technical Summary

Problems solved by technology

However, the fault prediction of electric energy meters and in-depth analysis and evaluation of operation quality are not perfect. The value of massive data in existing systems has not been effectively utilized. It is urgent to carry out in-depth analysis and research on electric energy meter fault trends to provide scientific guidance for electric energy meter health evaluation and accurate replacement.

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