A Data Preprocessing Method for Lithium-ion Battery Energy Storage Stations Based on Edge Computing
By generating time slices and topology hierarchy information in edge computing, filtering stable page sets and generating boundary boards, the problems of insufficient static thresholds and data repair in the data preprocessing of lithium battery energy storage stations are solved, achieving higher data cleaning accuracy and reliability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 浙江三辰电器股份有限公司
- Filing Date
- 2026-06-03
- Publication Date
- 2026-06-30
AI Technical Summary
Existing edge computing relies on static thresholds in the data preprocessing of lithium battery energy storage stations, lacks a dynamic judgment mechanism for data stability, and lacks topological correlation in data repair, resulting in insufficient cleaning accuracy.
By forming continuous sampling time slices and topology hierarchy information at edge nodes, time codes and topology codes are generated, stable page sets are filtered, voltage and temperature boundaries are calculated, boundary mapping is established, data locations are checked and missing, evidence, correction, or normal processing records are generated, a cleaning set is formed, and finally, the data preprocessing results of the lithium battery energy storage station are generated.
This improves the confidence level of edge-side data processing and the accuracy of data traceability, thereby enhancing the reliability of data preprocessing results from lithium battery energy storage stations.
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