Intelligent pipe network big data acquisition, analysis, early warning and positioning system and method
A technology of collection and analysis, intelligent pipe network, applied in general control systems, control/regulation systems, instruments, etc., can solve the problems of long maintenance period, inability to collect and analyze the pipe network, and high cost, to improve accuracy and timeliness, Conducive to stable operation and improved protection strength
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Embodiment 1
[0047] In the technical solutions disclosed in one or more embodiments, such as figure 1As shown, the smart pipe network big data collection and analysis early warning positioning system includes a cloud server, an above-ground detection device 1 and an underground detection device. The underground detection device includes a data detection optical fiber 2 laid along the pipeline. The sensor group 3 is set according to the set position, the data detection optical fiber 2 is connected to the cloud server through the optical fiber monitoring and acquisition terminal, and the above-ground detection device 1 is connected to the cloud server; the cloud server obtains and processes the detection data to realize the management. Detection, positioning and early warning of network leaks.
[0048] In this embodiment, a data detection optical fiber 2 and a sensor group 3 are laid out along the network of the underground pipe network, and an above-ground detection device 1 is installed on...
Embodiment 2
[0074] This embodiment provides a smart pipe network big data collection analysis early warning positioning method, such as Figure 4 Shown, this method can be realized in cloud server, comprises the following steps:
[0075] Step 1. Obtain the environmental detection data of the pipeline network layout area, analyze and process the environmental detection data to obtain the pipeline failure risk assessment results;
[0076] Step 2. Obtain the detection data of the pipeline network, use the self-adaptive self-learning big data analysis method to perform leak detection and analysis, obtain the abnormal data of the pipeline network operation, and determine the abnormal area;
[0077] Step 3 locates the location of pipeline leakage based on the abnormal area and risk assessment results, and sends an early warning signal according to the location of the fault.
[0078] In step 1, the environmental detection data of the pipeline network layout area is obtained, and the environment...
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