Abstract
In order to further explore the intelligent research of the pressure sensor in the pipeline, based on the existing pipeline detection methods of the Internet of Things (IoT), the signal processing method and correction research in the wireless sensor network of the loT are explored. A multi-pressure sensor detection method of negative pressure wave is proposed. Scientific and intelligent means are used to explore the pipeline remote intelligent detection. The specific research results are as follows. In the simulation study, when the working condition of pump station 1# changes, the pressure wave first reaches A(1) and B-2 sensors, and finally reaches C-1 and C-2 sensors. If there is leakage in the pipeline, the simulation results show that when the pressure of pump station rises to 5 MPa, the pressure of B-1 and B-2 test points decreases to about 4.9 MPa, and the pressure of A(1), A(2), C-1 and C-2 test points is about 3 MPa; when the pressure of the pump station drops to 3 MPa, the pressure of all test points decreases. Generally speaking, the pressure of the front-end pressure sensor of the pump station is basically unchanged while the pressure of the back end increases when the pressure increases; when the pressure decreases, the pressure of the front-end pressure sensor of the pump station is basically unchanged while the pressure of all the back-end pressure sensor decreases. After correction, the signal data is obviously smooth and the error is obviously reduced. This study can provide scientific and effective reference for the pressure monitoring of IoT sensor network.