Electric power construction project construction quality monitoring method based on computer assistance

Through computer-aided methods, edge recognition and template matching algorithms are used to solve the accuracy of weld monitoring in complex environments, and high-precision evaluation of welding quality is achieved.

CN120525877AActive Publication Date: 2025-08-22HUANENG (QINGYUAN) GAS TURBINE THERMAL POWER CO LTD +1
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Patent Information

Application Number
CN202511017432.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-23
Publication Date
2025-08-22
Estimated Expiration
2045-07-23

AI Technical Summary

Technical Problem

In power construction projects, traditional weld monitoring methods are difficult to adapt to complex environment changes, resulting in inaccurate welding quality monitoring, especially the weld characteristics of large-scale gas engine equipment are difficult to accurately identify under factors such as shading and light changes.

Method used

Using a computer-aided method, the image is evenly divided into multiple areas, the highlighted edges are identified and numbered, and the weld determination coefficient is calculated based on the edge movement factor, the weld presence factor and the reflection factor, and the template matching algorithm is used to judge the welding quality of the weld area.

Benefits of technology

It improves the accuracy of welding quality monitoring, can accurately identify the weld area under environmental changes, and improves the accuracy of welding quality monitoring during power construction.

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Abstract

The invention relates to the technical field of quality monitoring, in particular to an electric power construction project construction quality monitoring method based on computer assistance, and the method comprises the steps: obtaining an image of a to-be-monitored region; dividing the image into a plurality of areas; acquiring edges and highlight edges in each area; and according to the dispersion degree of the distance between the highlight edges and the distance between the edge center points of each region in the images at the previous and later moments. The weld existence factors of all the areas are obtained according to the shape differences of the edges; obtaining a welding seam determination coefficient of each region at the current moment by combining the difference of the number of the edges of each region at the previous moment and the next moment, the difference of the average gray values of the edges and the difference between the average levels of the edge lengths, and further obtaining a welding seam region at the current moment; and whether welding quality problems exist in all the welding seam areas or not is judged. According to the method, the welding quality monitoring precision in the power construction process is improved by accurately obtaining the welding seam area.
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