Research On Oil Pipeline Monitoring Technology Based On Vibration Analysis

With the continuous construction of domestic long-distance oil pipelines,the total length of oil pipelines has also increased,and the safety of pipeline transportation has become increasingly prominent.Aiming at the transportation safety problem of oil pipelines,a monitoring system based on vibration analysis of oil pipelines was designed and implemented.The system can monitor the vibration signals of oil pipelines in real time and timely alarm for abnormal events.Firstly,a monitoring node capable of collecting the vibration signal of the oil pipeline in real time is designed.This node uses ADXL103 sensor and ADUCM360 to realize the real-time acquisition of the vibration signal of the oil pipeline.The data is transmitted to the main processor by the communication method of IIC,and the sampling data is compressed.The processed data is sent to the narrowband Internet of Things(NB-IOT)module and uploaded to the China Mobile IoT platform to realize the collection and preservation of the vibration signal.In order to reduce system false alarms,the vibration signals are classified.Firstly,according to the characteristics of different types of vibration signals,the difference of their amplitudes is used to extract the feature values.At the same time,with the wavelet packet decomposition,the signal energy spectrum of the vibration signal is obtained by using the decomposition coefficient,thereby generating a plurality of sets of feature vectors.The support vector machine is selected as the classification algorithm,and the vibration type is judged by the training classification model.When an abnormal vibration event occurs,in order to achieve the positioning of the vibration source.The minimum mean square error algorithm(LMS)is used to calculate the time delay of two adjacent vibration signals,and the location of the vibration is calculated according to various parameters fixed by the two monitoring nodes.Finally,the monitoring host computer is designed to download the data uploaded by the monitoring node from the IoT platform,and the data is saved in the Mysql database to display the classification and positioning results.The overall test results of the system show that the monitoring system can detect the small vibration signal of the oil pipeline in real time,and classify and identify the signal to locate the location of the abnormal event.