A leak detection device and method for oil and gas pipeline network based on type II fuzzy logic

Abstract

The invention relates to a device for detecting the leakage of an oil-gas pipe network based on type-2 fuzzy logics and a method. The device comprises a data acquisition unit, a signal filtering plate, an A / D (Analog to Digital) conversion unit, an FPGA (Field Programmable Gate Array), a level conversion unit and an upper computer, wherein the data acquisition unit comprises a pressure sensor, a flow sensor, a density sensor, a digital sensor which is used for acquiring the state of a pump and a digital sensor which is used for acquiring the opening degree of a valve; the signal filtering plate comprises a filter, a multi-way switch and a signal amplification circuit; and output terminals of all the sensors and an output terminal of the digital sensor which is used for acquiring the opening degree of the valve are all connected to an input terminal of the filter, an output terminal of the filter is connected with one terminal of the multi-way switch, the other terminal of the multi-way switch is connected with an input terminal of the signal amplification circuit, an output terminal of the signal amplification circuit is connected with the FPGA through the A / D conversion unit, and the FPGA is connected with the upper computer through the level conversion unit. According to the device and the method, the leakage detection on the oil-gas pipe network is carried out by adopting a type-2 fuzzy logic system, the current state of the pipe network is judged, and thus, the accuracy of detection can be improved.

Description

technical field [0001] The invention belongs to the technical field of oil and gas pipeline network detection, and in particular relates to an oil and gas pipeline network leakage detection device and method based on Type II fuzzy logic. Background technique [0002] Pipe network transportation is a very important mode of transportation, which has unique advantages in the transportation of gas and liquid. my country's pipeline network is huge and developing rapidly. With the increase of pipelines and the passage of time, various inevitable natural factors such as liquid corrosion, wear and man-made damage, etc., pipeline network leakage accidents occur frequently. Therefore, it is particularly important to detect the leakage of oil and gas pipeline network effectively and timely. [0003] There are many methods for pipe network leak detection, such as acoustic wave detection method, pressure gradient method, wavelet transform method, negative pressure wave method and so on....

AI Technical Summary

Problems solved by technology

However, for slow and small flow leakage, due to the slow pressure change per unit time, the negative pressure wave method is less sensitive to it, and it is easy to cause false positives.

At the same time, during the operation of the oil and gas pipeline network, due to the adjustment of pumps, valves and other equipment in each monitoring station, the pressure changes, resulting in a large number of false alarms in the system, wasting a lot of manpower and material resources

In addition, in addition to the normal working condition adjustment, there are many other factors that affect the operation status of the pipeline in practice, and there are great uncertainties in the operation status of the system.

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