Intelligent Multi-Drive Inspection Technology for Water Environment of Cable Pipe Gallery Based on Random Forest Algorithm

Abstract

Abstract Image technology is widely used in intelligent applications. Based on the intelligent multi-drive patrol inspection of the water environment of cable duct corridors, the original technical methods and corresponding algorithms cannot be effectively solved. This paper mainly studies the intelligent multi-drive patrol inspection technology for the water environment of cable duct corridor based on random forest algorithm. In this paper, a feature that is insensitive to changes in illumination is designed and used for image change detection. At the same time, the Haar-like feature is improved according to this feature. The improved Haar-like feature and random forest calculation are used to detect the change area of the image. The experiment in this paper found that the cable fire of underground comprehensive pipe corridor burned more violently during 200 s-600 s. This stage only accounted for 22.3% of the burning time, but contributed 73.4% of the mass loss. The experimental results in this paper show that the intelligent multi-drive patrol inspection technology for the water environment of cable duct corridors based on the random forest algorithm is in line with the actual application standards and has important significance in practical applications.