Intelligent detection system for safety state of tower crane jacking operation based on visual detection

Abstract

The application discloses a tower crane jacking operation safety state intelligent detection system based on visual detection, which comprises a tower crane jacking operation image acquisition module, an image reconstruction module, a weight mapping module, a jacking working condition feature extraction module, an adaptive pixel weight construction module and a jacking operation safety detection module. The application belongs to the field of image processing and specifically refers to a tower crane jacking operation safety state intelligent detection system based on visual detection. The scheme constructs adaptive weight coefficient dynamic adjustment image each detail component weight, realizes construction site targeted intelligent noise reduction, constructs visual feature importance weight matrix through pixel recognition degree quantitative analysis, improves the accuracy of overall construction risk detection results, calculates the working condition discrimination chaos degree through pixel by pixel and converts the chaos degree into a chaos degree benchmark weight, improves the tower crane component fuzzy boundary identification accuracy, and weights and fuses the chaos degree benchmark weight and the engineering safety prior feature weight, further optimizes the overall risk detection effect of the jacking operation.

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