危險(xiǎn)化學(xué)品輸送管道泄漏檢測(cè)系統(tǒng)設(shè)計(jì)
[Abstract]:Leakage detection of dangerous chemical pipeline is an important link to ensure safe production. Due to the dangerous characteristics of dangerous chemicals such as strong corrosion, flammability, explosion, toxicity and radioactivity, the leak detection system of dangerous chemicals transportation pipeline should have the functions of quick response time, high sensitivity, accurate positioning, and so on. At the same time, it is also required to use and maintain easily, but the application of leak detection system based on acoustic method for dangerous chemical pipeline is very few. Therefore, the design and application of leakage detection system for dangerous chemical pipeline is a necessary prerequisite to ensure the safety of production in the field of hazardous chemicals. In this paper, the pipeline of dangerous chemical transportation is taken as the research object, and the operability of the system is improved by designing the field instrument of pipeline leakage detection, which can adjust the gain remotely. A signal feature extraction method based on double moving windows and power spectrum comparison is proposed to improve the effectiveness of feature extraction. A leakage diagnosis model of hazardous chemical pipeline without leakage sample signal based on SVDD is established. In order to solve the problem that the pipeline of dangerous chemicals can not obtain the real "simulated leakage signal", it provides the necessary technical means for reducing false alarm and eliminating underreporting. Because of the same type of sensors in different pipeline transport medium, the output signal characteristics are similar. Starting with the signal of the same type of sensor in the natural gas pipeline, this paper analyzes and compares the power spectrum of the normal dynamic pressure signal and the leakage dynamic pressure signal. The method and steps of signal feature extraction based on double moving window and power spectrum comparison are proposed. Then, this feature extraction method is applied to feature extraction of dynamic pressure signal in dangerous chemical pipeline. Then, a leak diagnosis model based on SVDD is established under the condition of no leakage sample signal. In the design of leakage detection system for dangerous chemical pipeline, on the one hand, the field instrument based on STM32 microprocessor is designed. The field instrument can receive the signal of embedded remote terminal unit (RTU) to amplify and adjust the instruction step by step. The output signal of the piezoelectric pressure sensor is amplified according to the magnification required by the instruction, and finally the 4-20mA standard signal is outputted. On the other hand, the embedded remote terminal unit (RTU), RTU, which integrates the function of RS-485 serial communication bus, can not only collect the output signal of the field instrument, but also transmit it to the monitoring server by means of network communication. At the same time, it can receive the instrument magnification adjustment instructions sent by the monitor server and forward the adjustment instructions to the field instrument via RS-485 serial communication bus. Finally, using liquid nitrogen as the experimental medium in the liquid chlorine pipeline, the system was tested by simulated leakage, and all the system made the correct alarm. The continuous operation results show that the leakage detection system designed in this paper has low false alarm rate and can effectively diagnose pipeline leakage.
【學(xué)位授予單位】:北京化工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:U178
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