会议专题

Research on Natural Gas Pipeline Leak Detection Algorithm and Simulation

  In order to improve detection accuracy and reduce false alarm rate,research on gas pipeline leakage algorithm has extremely important significance.In this paper based on long pipe negative pressure wave algorithm,the adaptive Kalman filter detection method is proposed,which can overcome the shortage of wavelet transform method.An adaptive detection model is established using the data collected by pressure sensor.The location of leakage point can be calculated by time difference between the upstream and downstream through the Kalman Filter.The relative error and false alarm rate are estimated.Experimental results show that the improved method can reduce the false alarm rate.The adaptive Kalman filter detection method provides a useful method for the detection of natural gas pipeline leakage.

Negative pressure wave Wavelet transform Adaptive Kalman filtering Detection technology

Daiyong Zhou

College of Automation,Chongqing University of Posts and Telecommunications,Chongqing no.2 Chongwen Road,Nanan District,Chongqing 400065,Peoples Republic of China

国际会议

The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

福州

英文

355-361

2015-05-08(万方平台首次上网日期,不代表论文的发表时间)