A new energy equipment inspection report generation method and system

By integrating data from the entire lifecycle of new energy equipment and using pre-trained models for feature extraction and analysis, structured inspection reports are generated. This solves the problems of low efficiency and limited information in existing technologies, enabling full-cycle and group-based analysis and strengthening data support for operation and maintenance decisions.

CN122114889APending Publication Date: 2026-05-29XIAN THERMAL POWER RES INST CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAN THERMAL POWER RES INST CO LTD
Filing Date
2026-03-05
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing inspection reports for new energy equipment are inefficient to generate, contain limited information, lack data correlation and horizontal comparison throughout the entire life cycle, make it difficult to identify common problems and systemic risks, and fail to provide effective data support.

Method used

By obtaining the unique identification code of the equipment, integrating the full life cycle data, using a pre-trained defect identification model for feature extraction and defect type identification, and combining longitudinal time series analysis and horizontal comparison, a structured inspection report is generated, which includes defect status assessment, trend judgment and maintenance suggestions.

Benefits of technology

It enables efficient generation of structured inspection reports, improves the depth and consistency of analysis, provides data support throughout the entire lifecycle, recommends precise maintenance solutions, and forms a knowledge loop.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a new energy equipment inspection report generation method and system, the method comprises the following steps: obtaining the full life cycle data of the equipment according to the unique identification code of the equipment; extracting features from the full life cycle data, identifying whether there is at least one type of equipment defect according to the feature set; filtering out the same type of defect historical data from the full life cycle data according to the at least one type of equipment defect, and performing longitudinal time series analysis to determine the historical evolution trend of the equipment defect; comparing and analyzing the at least one type of equipment defect with the defect data of the same type of equipment group horizontally to identify the common distribution characteristics of the equipment defect in the same type of equipment; based on the historical evolution trend and the common distribution characteristics, combined with the historical maintenance records in the full life cycle data, a structured inspection report containing defect state evaluation, trend judgment and maintenance suggestion is generated. The application can improve the comprehensive and efficient generation of new energy equipment inspection report.
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