Computer artificial intelligence information screening method

Abstract

The invention provides a computer artificial intelligence information screening method, which comprises the following steps of: acquiring underground pipeline operation state parameters by using underground pipeline network monitoring equipment, uploading corresponding parameter information data packets to communication gateway equipment, and performing first information screening processing on the parameter information data packets; generating a plurality of underground pipe network operation state data queues meeting specific parameter types and parameter acquisition time conditions; and finally, performing secondary information screening processing on the underground pipe network operation state data queue uploaded by the communication gateway equipment by using the computer terminal equipment, determining abnormal operation state data in the data queue, and judging the actual operation state condition of the underground pipeline. The underground pipeline network monitoring equipment is used for automatically monitoring the underground pipeline and carrying out information screening processing on the monitored operation state parameters of the underground pipeline, so that data analysis on the operation state parameters is realized and the actual operation state of the underground pipeline is quickly determined.

Description

technical field [0001] The invention relates to the technical field of information integration processing, in particular to a computer artificial intelligence information screening method. Background technique [0002] In urban infrastructure, different types of pipelines, such as water supply pipelines, sewage pipelines, heating pipelines, and natural gas pipelines, will be set up in the city's underground to form a network system of underground pipelines with coverage pipes, extended mileage, and complex layouts. In order to ensure the normal operation of the underground pipeline network system, the staff will regularly conduct on-site surveys on the underground pipelines in specific areas, but this method of on-site survey can only cover a small part of the underground pipeline network area, and the on-site survey cycle is long and requires It consumes a lot of manpower and material resources, and it cannot fully and automatically obtain the real-time operating status of ...

AI Technical Summary

Problems solved by technology

In order to ensure the normal operation of the underground pipeline network system, the staff will conduct on-site surveys of underground pipelines in specific areas on a regular basis. It consumes a lot of manpower and material resources, and it cannot fully and automatically obtain the real-time operating status of the underground pipeline network, which reduces the monitoring intelligence of the underground pipeline network and the accuracy of monitoring data information screening

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