Pipe network AI intelligent monitoring method and system, readable storage medium and equipment

Abstract

The invention relates to a pipe network AI intelligent monitoring method and system, a readable storage medium and equipment and belongs to the technology field of monitoring. The method comprises steps of acquiring a shot image of the position of the pipeline in the pipe network; determining a control area for the pipeline in the shot image, identifying whether an object capable of damaging the pipeline exists in the shot image or not; if such an object exists, judging whether the object is in a control area or not; if yes, representing that the risk that the object damages the pipeline in the management and control area exists; at the moment, prompt information of the object invading the pipeline area can be generated; monitoring workers are reminded to pay attention to and be alert to the situation; according to the scheme, the object possibly damaging the pipeline can be automatically identified; early warning is carried out in time before the pipeline is damaged, the problems thatin a traditional scheme, the workload of personnel for inspecting the pipeline is large, or time and labor are wasted when a monitoring video is checked are solved, the pipeline in a specific place needing to be protected can be monitored and alarmed in an all-around and all-time mode, and the effect of preventing the pipeline from being damaged is enhanced.

Description

technical field [0001] The present invention relates to the technical field of monitoring, and in particular, to a method, system, readable storage medium and device for AI intelligent monitoring of a pipe network. Background technique [0002] In recent years, with the rapid development of my country's urbanization construction, pipeline laying has increased year by year. For example, pipeline gas has become one of the main energy sources for households and factories in my country. However, the behavior of third-party construction destroying the pipeline network is still repeatedly prohibited. According to the statistics of relevant departments, there are hundreds of accidents that destroy the pipeline network due to third-party construction in large and medium-sized cities in my country every year, which seriously affects people's normal life order and is also related to social stability. Although pipeline companies have arranged a large number of personnel to inspect and ...

AI Technical Summary

Problems solved by technology

[0003] Based on this, it is necessary to provide a pipeline network AI intelligent monitoring method, system, readable storage medium and equipment for the problem that the traditional way of personnel inspecting pipelines or viewing surveillance video is less effective in preventing pipeline damage

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