A pipeline monitoring system based on neural network

Abstract

The invention relates to the application field of hydraulic pipes, and discloses a neural network-based pipeline monitoring system. The two ends of the main pipe are respectively connected with movable joints and fixed joints; the bottom end of the standard device placement pipe communicates with the middle of the main pipe. The standard is installed in it through the standard bracket with the standard displacement sensor fixed on the nozzle; the height adjustment screw in the conveying mechanism is vertically threaded on one side of the outer wall of the standard placement tube, and its top is against the Standard bracket; the output shaft of the drive motor is fixedly connected to the bottom end of the height adjustment screw, and the drive motor is fixed on the outer wall of the standard tube; the standard displacement control system used to control the standard displacement, including the standard displacement adjustment platform and MSP430 Smart controllers in microcontrollers. The system can smoothly place the standard device at the verification position, and can adjust the position of the detection probe of the standard device in the water pipe to be tested, so as to reduce the influence on the standard parameters during measurement.

Description

technical field [0001] The invention relates to the application field of hydraulic pipes, in particular to a neural network-based pipeline monitoring system. Background technique [0002] In today's pipeline industry, if you want to measure the liquid pressure in the pipeline, you usually reserve a measurement section of the pipeline in the required measurement section of the pipeline when installing the pipeline. When measurement is required, remove the measurement section of the pipeline and install a detection device. For detection at this part, usually, the standard in the detection device needs to be manually extended through a standard delivery pipe on the detection device to the verification position in the pipeline to be tested for detection, when the standard is manually inserted into the standard delivery pipe , hand shaking will inevitably occur, making the bottom probe of the standard stick to the inner wall of the standard delivery pipe, or the relative shaking ...

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: The technical problem to be solved by the present invention is to provide a neural network-based pipeline monitoring system, which can stably place the standard device in the verification position, and can adjust the position of the detection probe of the standard device in the water pipe to be tested, and through the sealing Reduce the impact on the standard parameters during measurement; solve the defect of low precision of the existing standard displacement control, improve the rapid response, control accuracy and robustness of the standard displacement, and make the displacement of the standard quickly reach the system setting value to meet the system's need for standard displacement accuracy

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