Ship pipeline drip monitoring based on machine vision
In order to detect small drip faults in the early stage of pipeline leakage,a visual monitoring model of pipeline drip leakage was proposed.The mean background difference meth-od was used to detect pipeline drip and extract feature param-eters of droplet prospects,and by combining the virtual coil method,an evaluation scheme of drip volume flow rate was proposed based on the number of dripping droplets for flow statistics.Then the drip test bench has been constructed to ob-tain a drip video,and then to validate the model.The results show that the model can effectively detect pipeline drip drop-lets,especially for leaks with a slower drip frequency.It can accurately count the number of drip leaks with an accuracy rate above 98％,and the relative error of estimating leakage volume flow rate is within 20％.This method can effectively monitor pipeline leaks and provide the reference for making pipeline maintenance decisions.
万方数据
维普
