A method for cleaning data of a hydroelectric engineering cable
By building a data cleaning tool based on Python and Pandas, combined with regular expressions and a MySQL database, the problems of disordered format, invalid and duplicate data, coordinate transformation and standardization of cable data in hydropower projects were solved, achieving efficient data cleaning and meeting the high-quality data requirements for 3D modeling and laying planning.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA THREE GORGES PROJECTS DEV CO LTD
- Filing Date
- 2026-03-13
- Publication Date
- 2026-07-17
AI Technical Summary
The original data of hydropower engineering cables suffers from problems such as disordered format, rampant invalid and duplicate data, lack of coordinate transformation and standardization, insufficient ability to complete missing data, and poor compatibility of data processing tools with industry standards. As a result, the data cleaning quality is difficult to meet the high-precision requirements of 3D modeling and laying planning.
Using Python and the Pandas data processing library, combined with regular expressions and a MySQL database, a data cleaning tool was built. Through format validation, duplicate data removal, coordinate standardization, and missing data completion, invalid data was accurately identified and uniformly transformed. Cable data processing rules were constructed in accordance with GB/T 12706 and GB50217 standards to generate early warning logs and cleaning reports.
It achieves accurate identification and removal of invalid data, 100% removal of duplicate data, unified coordinate transformation, and 97.7% completion of missing data, improving data cleaning efficiency, ensuring data integrity, accuracy, and consistency, and meeting the business needs of power engineering professionals.
Smart Images
Figure CN122412397A_ABST