Engineering project quality staged acceptance intelligent supervision management system based on big data and artificial intelligence

Abstract

The invention discloses an engineering project quality staged acceptance intelligent supervision management system based on big data and artificial intelligence, and the system comprises the steps: dividing a top region in a to-be-accepted tunnel into sub-regions, carrying out the arrangement of monitoring points for each sub-region, detecting the distance between the position of each monitoring point in each sub-region and the center of a circle of a corresponding central arc line, analyzing the contrast difference value of the distance between each monitoring point position in each sub-region and the circle center of the corresponding central arc line, calculating the standard deviation of the difference value of the distance between the central arc line of each sub-region and the circle center, collecting the gray level image of each monitoring point position in each sub-region, obtaining the thickness of each layer of each gray level enhanced image in each sub-region, and calculating the volume of each layer in the top layer area in a to-be-accepted tunnel, calculating and displaying the comprehensive quality influence coefficient of the top layer in the to-be-accepted tunnel, and carrying out comparison processing measures by related personnel, so that the engineering quality of the top layer in the tunnel is improved, and the appearance safety of the people is guaranteed.

Description

technical field [0001] The invention relates to the technical field of engineering project quality management, and relates to an intelligent supervision management system for phased acceptance of engineering project quality based on big data and artificial intelligence. Background technique [0002] Ensuring the quality of engineering projects is the key to tunnel engineering supervision. The quality of engineering projects is related to the life and property safety of tunnel workers and passengers, so strengthening the quality inspection and supervision of tunnel engineering projects will become the top priority of supervision work. [0003] At present, the existing supervision methods for quality acceptance of tunnel engineering projects mainly use personnel supervision, which has a low level of personnel supervision, lacks scientific and systematic methods, and cannot fully and accurately understand the arc radius of the top floor inside the tunnel. The problem of unifor...

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Problems solved by technology

[0003] At present, the existing supervision methods for quality acceptance of tunnel engineering projects mainly use personnel supervision, which has a low level of personnel supervision, lacks scientific and systematic methods, and cannot fully and accurately understand the arc radius of the top floor inside the tunnel. The problem of uniformity leads to a decrease in the engineering quality of the top layer inside the tunnel, thereby increasing people's travel safety hazards and causing huge physical and mental damage to people. At the same time, supervisors conduct destructive sampling on the top layer inside the tunnel to analyze each layer in the sample The quality of the tunnel engineering project is judged by the volume, which not only reduces the accuracy and reliability of the supervision data, but also reduces the aesthetic effect of the top layer inside the tunnel, which in turn affects the acceptance efficiency of the tunnel engineering project quality. In order to solve the above problems, the current design is based on large Intelligent supervision management system for phased acceptance of engineering project quality based on data and artificial intelligence

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