Charging station configuration optimization method and device, storage medium and electronic equipment
By acquiring charging orders and equipment information from charging stations, performing indicator analysis and rule matching, and generating configuration optimization notifications, this technology solves the problems of high manpower and material resources and low accuracy in existing technologies, and achieves efficient and low-cost charging station configuration optimization.
CN122154985APending Publication Date: 2026-06-05ZHEJIANG XIAOJU GREEN ENERGY TECHNOLOGY CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG XIAOJU GREEN ENERGY TECHNOLOGY CO LTD
- Filing Date
- 2024-11-29
- Publication Date
- 2026-06-05
AI Technical Summary
Technical Problem
Existing technologies require significant investment of manpower, resources, and time to optimize the configuration of charging stations, and their accuracy is low, with significant influence from the subjective factors of the survey personnel.
Method used
By acquiring charging order data and charging pile equipment information from charging stations, we conduct indicator analysis, perform rule matching based on evaluation indicator information and charging pile type, generate configuration optimization notifications, and send them to the client.
Benefits of technology
It achieves optimized charging station configuration with low cost and high accuracy without requiring a large investment of manpower and resources, thus improving the objectivity and accuracy of the solution.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122154985A_ABST
Abstract
The present disclosure relates to a charging station configuration optimization method and device, a storage medium and an electronic device, and particularly relates to the technical field of data analysis. The method comprises the following steps: first, obtaining charging process data corresponding to each charging order of a charging station, and device information corresponding to each charging pile in the charging station; second, performing index analysis according to the charging process data and the device information to obtain evaluation index information; third, performing rule matching based on the evaluation index information and the charging pile type of the charging station, and obtaining label information corresponding to the matched rule; and fourth, generating a configuration optimization notification of the charging station according to the label information. By applying the technical solution of the present disclosure, the configuration optimization information of the charging station can be objectively and accurately analyzed by using effective technical means, thereby improving the accuracy of the configuration optimization scheme of the charging station.
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