Power distribution automation detection method and detection system
By performing regional division and integrated detection data analysis of the distribution network, the problems of low detection efficiency and high probability of missing detection in the existing technology are solved, and efficient and automated processing of daily inspection data of the distribution network is realized.
CN119619671AActive Publication Date: 2025-03-14GUANGDONG POWER GRID CO LTD +1
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Patent Information
- Application Number
- CN202411772468.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-04
- Publication Date
- 2025-03-14
- Estimated Expiration
- 2044-12-04
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Figure CN119619671A_ABST
Abstract
The invention discloses a power distribution automation detection method and detection system. The detection method comprises the following steps: carrying out regional division on a power distribution network to obtain a plurality of to-be-detected regions; one to-be-detected area comprises a plurality of detection devices; acquiring detection data of the detection devices in the plurality of to-be-detected areas, and generating detection tables corresponding to the plurality of to-be-detected areas respectively; the detection table comprises detection data of a plurality of detection devices in the same to-be-detected area; and determining whether abnormal data exists according to the detection table. According to the scheme, a large number of detection devices in the power distribution network can be subjected to partition management. The detection data of the plurality of detection devices in the same to-be-detected area are integrated into one detection table, and the detection data of the detection devices are automatically compared by filling the detection table, so that the integration degree of the detection data in the same to-be-detected area is improved, the data analysis efficiency is improved, and efficient and automatic processing of daily inspection data is realized.
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