Operation line corridor environment factor change monitoring method

Abstract

The invention relates to an operation line corridor environmental factor change monitoring method, which comprises the following steps: identifying an edge curve of a building in an image by using Canny segmentation, and then performing standard Hough transformation on the edge curve obtained by Canny segmentation to identify a rectangular area, so that points and operand required to be calculated by the Hough transformation can be reduced, in other words, calculation of Hough transformation is only carried out on the detected edge points; and finally, finishing the positioning of the suspected house target through an improved ROI algorithm. According to the invention, the working efficiency of power transmission and transformation project operation line environment factor identification work is improved, and the edge information of buildings such as houses and plants can be accurately identified.

Description

technical field [0001] The invention relates to the technical field of power system monitoring, in particular to a method for monitoring changes in environmental factors in corridors of operating lines. Background technique [0002] During the construction period of the power grid, due to rush construction and rush repairs, the management and control of houses, factories and other building facilities in the line passage corridors were not detailed enough, which caused legal disputes such as difficult demolition and relocation, and caused unnecessary economic losses to the company. The existing technical means for identifying environmental factors in corridors of power transmission and transformation projects mainly include: 1) Manual on-site inspection, which needs to be checked from the start position to the end position of power transmission and transformation, and the verification content includes buildings such as houses and factories that existed before Whether it has b...

AI Technical Summary

Problems solved by technology

[0004] 1. The power transmission and transformation project has long lines, large spans, and irregular and scattered distribution of environmental factors in the corridors of the operating lines, which brings great difficulties to manual on-site inspections. There are long inspection cycles, low efficiency, inaccurate data, and omissions , unable to grasp the overall pattern of the entire line corridor

[0005] 2. The manual interpretation method of remote sensing images used in the monitoring of changes in environmental factors in the corridors of power transmission and transformation projects has a large interpretation workload, low work efficiency, and a high probability of misjudgment and misjudgment caused by human factors

The traditional edge detection algorithm has not been applied to such a complex background environment, so the accuracy requirements for the algorithm are relatively low

Applying the traditional edge detection algorithm to the dynamic monitoring of environmental factors in the corridors of power transmission and transformation projects, it is impossible to accurately identify houses and factories in remote sensing images, and even miss some relatively hidden houses. The detection accuracy and noise immunity insufficient

[0007] 4. When classifying houses, because the houses are closely connected with the road space, the spectral characteristics are similar, the reflection characteristics are similar, and the gray values ​​displayed on the remote sensing images are similar. It is difficult for traditional edge detection algorithms to distinguish houses and factories from roads.

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