Study on Monitoring System for Pipeline Security Based on Multi-Sensor Data Fusion Technique
Based on multi-sensor data fusion technique, we designed monitoring system for pipeline security. The system acquires early warning signals by many sensors and processing modules when pipes are threatened. The non-stationary signal analysis method based o
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Study on Monitoring System for Pipeline Security Based on Multi-Sensor Data Fusion Technique Jie Zhang
Abstract Based on multi-sensor data fusion technique, we designed monitoring system for pipeline security. The system acquires early warning signals by many sensors and processing modules when pipes are threatened. The non-stationary signal analysis method based on empirical mode decomposition is used to process the signals. The normalized kurtosis extracted from the decomposed results is composed of the feature vectors. Because there were separate sensors gathering modules in the monitoring system, we used the multi-sensor data fusion technique to fuse these individual recognition results for improving recognition rate. With software development platform, LabVIEW virtual instrumentation, this obtained the final decision. With the test, the system can achieve better detection performance than a system using the single sensor, so as to form a more complete, reliable pipeline real time detecting conclusion. Keywords Pipeline instrumentation
Multi-sensor data Fusion technique LabVIEW virtual
83.1 Introduction In the gas and oil pipeline operation, offenders often drill in the pipeline to steal oil and gas. If these things are not discovered and not restrained in time, that will not only seriously affect upstream normal production and downstream transmute
J. Zhang (&) Electronic Engineering Department, North China Institute of Aerospace Engineering, Lang Fang City, China e-mail: [email protected]
W. Lu et al. (eds.), Proceedings of the 2012 International Conference on Information Technology and Software Engineering, Lecture Notes in Electrical Engineering 210, DOI: 10.1007/978-3-642-34528-9_83, Ó Springer-Verlag Berlin Heidelberg 2013
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production to cause serious economic losses, but also the leakage products of gas and oil pollutes the environment and generates the related secondary disasters [1]. Therefore, the safety monitoring system can report the scope and extent of the accident timely and accurately, can decrease the economic loss and reduce environmental pollution in the maximum. It is great significance to protect the security and reliability of production. Regular leakage detection technology and existing mechanism is used in general only to find oil leakage or to call the police after these things occur. As a result, the questions, act of invading is realized timely when pipeline security is at stake, or pipelines are being destroyed but not cause damage, are pressing problems [2]. Based on multi-sensor data fusion technique, a new type of pipe safety monitoring system is designed. Many sensors and processing modules are used to acquire early warning signals when pipes are threatened. The nonstationary signal analysis method based on empirical mode decomposition is used to process the signals. The multi-sensor data fusion technique is used to fuse these individual recognition results for improving recognition rate. With LabVIEW virtual instrumentation, the security sys
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