Online monitoring and early warning method and device of grain depot underground pipe network liquid leakage

Abstract

The invention relates to an online monitoring and early warning method of grain depot underground pipe network liquid leakage. The online monitoring and early warning method of grain depot undergroundpipe network liquid leakage comprises the following steps that firstly, credible neighbor sets of a to-be-detected current node are selected out based on collaborative filtering; secondly, a final credible neighbor set is selected out and formed; thirdly, during detection, according to the flow speed differences between the current node and all the nodes in the final credible neighbor set, statistics of the number of the nodes, with the flow speed difference exceeding a flow speed difference threshold value, in the final credible neighbor set is conducted, and if the number of the nodes is larger than a quantity threshold value, the current node is marked as an abnormal node; and fourthly, an abnormal pipe section on a branch pipe can be determined through the abnormal node, and the monitoring platform sends out early warning. According to the online monitoring and early warning method of grain depot underground pipe network liquid leakage, the nodes for online parameter measurement are configured, node data are gathered to conduct selection and comparison on the nodes based on collaborative filtering, the abnormal node is obtained based on the difference of the comparison difference values, the abnormal pipe section is determined according to the abnormal node, and then an alarm and early warning are given out; and therefore, the online monitoring and early warning method ofthe grain depot underground pipe network liquid leakage is worthy of great popularization.

Description

technical field [0001] The invention belongs to the technical field of intelligent grain depots, and in particular relates to an online monitoring and early warning method for liquid leakage in an underground pipe network of a grain depot. Background technique [0002] Leak detection methods are generally used to detect the integrity of pipelines and can be roughly divided into biological methods and hardware methods. [0003] 1.1 Biological methods [0004] Biological methods refer to experienced staff using naked eyes, smelling smells, and listening to the sound to find out the location of the leak, or specially trained dogs to confirm the location of the leak by distinguishing smell. [0005] The early pipeline leakage detection method was that experienced technicians walked along the pipeline to check for abnormal conditions near the pipeline, smell the smell of the medium released from the pipeline, or listen to the sound of the medium leaking from the pipeline. The r...

AI Technical Summary

Problems solved by technology

[0023] There are many defects in the pipeline leakage monitoring method in the prior art, the biological monitoring method can only be used as an auxiliary, and the mechanical detection method has the defects of labor-intensive and unable to monitor and warn in real time

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