| With the continuous development of the oil pipeline transportation, the pipeline safety problems are becoming the important part of transportation task. The oil pipeline leakage and sabotage due to low manufacturing process technology, natural disasters or human destruction greatly affect the normal transport of pipeline, which cause great inconvenience to the normal production and life. The pipeline safety alarm system is one of the methods to solve the problems. The core technology of the system is how to detect and locate the harmful events to pipeline in time. The paper related to a practical project aims to solve the difficulties. The alarm system including three parts (data detection, classification and processing) uses the time delay algorithms to detect and locate the abnormal events. The main works include the following issues:(1) After analyzing the features of system data, a new method is proposed to detect event signal using extracted signal characters, such as the synchronism parameter. The detection method is helpful to discover and pick up the event data;(2) The WGCC algorithm is used to estimate the time delay and position more accurately precisely;(3) According to the statistics theory, the confidence level scheme is used to judge the TDE results;(4) Because one single TDE result is unstable, the probability density fusion technology is used which significantly improve the reliability of position system. The position precision is generally controlled within 0.3 sampling interval. |