基于次声波的供热管道泄漏检测系统设计
[Abstract]:Pipeline leakage is the main factor threatening the safety of pipeline operation. The economic loss caused by pipeline leakage every year is very huge. At the same time, the pipeline leakage of heating system will also cause very serious social adverse effects. Therefore, solving the problem of pipeline leakage can not only reduce economic losses but also maintain social harmony and stability. The application of infrasound leak detection technology can be used to detect pipeline leakage quickly and accurately. The research results can be applied to all kinds of heat supply and other transportation pipelines, which provides a scientific basis for the further development of pipeline leakage detection. In this paper, the leakage detection method of infrasound wave is used to detect the leakage of heating pipeline. The principle, software and hardware of the leak detection and its application are described in detail. The main work is as follows: 1. The Kalman filtering algorithm is improved. This paper analyzes the principle of Kalman filter, aiming at the problem that the effect of Kalman filter on frequency domain signal is not obvious, the filtering algorithm is improved according to the frequency domain characteristic of infrasound wave, and the detection ability of low frequency signal is strengthened. The low frequency component of the leakage signal is highlighted to lay the foundation for the pipeline leakage location. 2, the hardware of the pipeline leakage detection system is designed. Pipeline leak detection system includes inspection well leakage and pipeline leakage. At present, there is no relevant equipment for inspection well detection in the market. In this paper, a hardware system of inspection well leakage detection based on 16-bit ultra-low power MCU PIC24F16KA102 is designed. The system can detect leakage in well quickly, the system can work more than one heating period continuously by using battery, and the hardware system of pipeline leakage based on STM32F103GPRS and GPS is designed. The collection and transmission of pipeline leakage data are realized. 3. The upper computer software and the lower computer software are designed. The design part of the upper computer software introduces the principle and calculation process of the infrasonic leak leakage location, and based on Labview. Practical MATHSCRIPT embedded script method, algorithm transplantation, at the same time designed other functions of the host computer software, including data receiving, data storage, data reading, leak signal analysis, leak location, historical data query and other functional modules. At the same time, it also includes the interface of the software and the function of realizing the real-time alarm of leakage. The part of the lower computer software includes two parts, one is the software design of the inspection well part and the pipeline leak detection part, the other is the software of the inspection well part directly writes the application program and the module driver. The pipeline leak detection part includes the transplantation of the operating system, the writing of the application program and the writing of the peripheral module driver. 4. The whole system is tested, including the inspection well and the pipeline. The testing of the inspection well includes testing the leakage detection function and the anti-theft function of the well cover, as well as testing the power consumption of part of the hardware system of the inspection well, and analyzing whether its power consumption can meet at least one heating period. Finally, the communication between the hardware part of the inspection well and the software part of the host computer is tested. The testing of pipeline leakage detection includes the functions of signal acquisition and transmission to the upper computer and whether the upper computer software can store, read, process and locate the data normally. Moreover, the system has been applied in the heating company of Daqing Oilfield Mining area Service Division.
【学位授予单位】:东北石油大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:TU995.3;TP274
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