A Method of Abnormal Judgment and Repair Based on Energy Statistical Data

Abstract

The present invention specifically relates to a method for judging and repairing abnormalities based on energy statistical data, including a judging process and a repairing process. The data loss needs to be repaired; according to whether the adjacent granularity statistical value valueN of the granularity N is less than 0, it is judged whether the collected data suddenly becomes smaller and needs to be repaired. According to whether the adjacent granularity statistical value valueN of granularity N is valueN≥k*A, it is judged whether the collected data suddenly becomes larger and needs to be repaired. The repairing process includes directly adding the historical average value first, and then performing repairing according to the ratio of adjacent granularity statistical values ​​if the collected data is restored to the original base. The invention can intelligently judge the abnormality of the original collected data caused by equipment problems in the energy-related management system, and repair the statistical data of the abnormal scene.

Description

technical field [0001] The invention relates to the field of smart grid and energy metering, in particular to a method for judging and repairing abnormalities based on energy statistical data. Background technique [0002] The energy management statistics system involved in the present invention includes various energy classification and sub-item equipment, including electricity meters, water meters, gas meters, heat meters, oxygen meters and the like. In the energy-related management system, the remote pulse data of the energy metering equipment is usually input into the relevant energy platform or system, and the platform or system processes and stores the data. The quality of statistical value data in the process of processing has always been a relatively difficult problem to solve, mainly manifested in: the device layer data itself is unstable, and the proportion of device data not reported according to the actual value caused by device failure is quite high; network env...

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Problems solved by technology

The quality of statistical value data in the process of processing has always been a relatively difficult problem to solve, mainly manifested in: the device layer data itself is unstable, and the proportion of device data not reported according to the actual value caused by device failure is quite high; network environment factors cause The reported value of the data is misplaced; the environment measured by the equipment is unstable, resulting in abnormal environmental data, etc.

In the case of partial data mutation or loss, the data statistics of energy management-related systems will become worthless. In order to effectively solve the abnormal statistical data, it is necessary to provide various energy management platforms and systems. In order to judge the abnormality of the collected data and carry out the method of repairing the abnormality,

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