Realization And Study Of Methods On The Leakage Detection And Location Of Long Transportation Pipeline

Long transportation Pipeline has become a major transportation way because of it's high effective convention environmental protection.However ,because ageing erode beening mangled by human,the leakage events is often happen.those events cause bigness economy losts and environment pollution. Therefore ,pipeline leak detection is an important issue in the pipeline transportation industry in the world wide range. Hardware-based leak detection can't operate continuously, the characters of real time reliability precision sensitivity of software-based leak detection are unsatisfactory. During the far-ranging use of SCADA systems in pipeline transportation industry, the complex software-based leak detection based on the information process has become a focus and tidal current and get much attentions by academe. On the base of previous works, following works been done in this paper:Firstly, aim at the negative pressure wave containing amount of noise, a adaptive soft- thresholds de-nose way is designed based on the wavelet transform. By setting effectual thresholds, the number of layers of wavelet transform and the values of thresholds are decided by adaptively.Secondly, a C++ numerical algorithms of wavelet transform is developed, the algorithms includes wavelet decomposing algorithms, adaptive de-nose algorithms, wavelet reconstructing algorithms , the results of testing show that the algorithms has not only effective de-nose function but alse can catch the singular points of pressure wave exactly. The C++ numerical algorithms has a high speed that can meet the requirement of software development.Lastly, a software of leakage detection and location of pipeline is developed, the software use the C++ numerical algorithms of wavelet transform as the analysis tool. A adaptive soft- thresholds de-nose algorithms been used in the software , thresholds distinguishing way been used to make leak pre-check . The test of software show the software can detect and locate the leakage of pipeline effectively.