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Urban pipe network supervision method based on big data

A big data, urban technology, applied in data processing applications, instruments, resources, etc., can solve the problems of insufficient scientific basis for monitoring point distribution, affecting pipe network operation, and weak rationalization, to ensure reliable and safe operation and improve maintenance efficiency. , the effect of improving the detection efficiency

Pending Publication Date: 2020-02-28
CHONGQING TECH & BUSINESS INST
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Problems solved by technology

[0002] With the deepening of the urbanization process, the scale of the urban underground pipe network is also expanding, but a large number of pipes have reached or approached the service life due to the long laying time, and even many pipes have leaked due to aging before reaching the service life. Blasting, affecting the operation of the pipeline network
Moreover, at present, the monitoring of the pipeline network mostly adopts the method of manual monitoring point location selection, which relies on work experience and urban development conditions to make judgments and roughly select points. The shortcomings of insufficient basis and weak rationalization make the urban pipe network often have faults, which greatly affects the normal operation of the urban pipe network

Method used

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  • Urban pipe network supervision method based on big data
  • Urban pipe network supervision method based on big data

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Embodiment Construction

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0021] In this example, see figure 1 and figure 2 As shown, the present invention proposes a method for supervising urban pipe network based on big data, including steps:

[0022] Divide the urban area into a grid format to obtain a grid-style urban network management network, and classify the existing pipeline network detection points into the corresponding grid units; arrange detection equipment at the pipeline network detection points, and the detection equipment will detect in real time The information is transmitted remotely to the management server through the Internet;

[0023] In the management server, the urban pipe network network model is established according to the grid-style urban network management network. In the urban pipe network network model, the de...

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Abstract

The invention discloses an urban pipe network supervision method based on big data, and the method comprises the steps: carrying out the grid type division of an urban region, obtaining a grid type urban network management network, and classifying a conventional pipe network detection point into a grid unit at a corresponding position; respectively carrying out big data analysis on the uploaded detection information of the corresponding grid units according to different grid modules in the urban pipe network model to obtain a monitoring result of each grid unit; displaying the monitoring result on a large monitoring screen with grid display; and transmitting the monitoring result to the corresponding management extension set according to the position of the grid unit. The urban pipe network state is remotely monitored in real time, the urban pipe network state can be intelligently and effectively supervised, the detection accuracy and the detection efficiency can be improved, the supervision efficiency is improved, and safe and reliable operation of the pipe network is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of urban pipe network detection, in particular to a big data-based urban pipe network supervision method. Background technique [0002] With the deepening of the urbanization process, the scale of the urban underground pipe network is also expanding, but a large number of pipes have reached or approached the service life due to the long laying time, and even many pipes have leaked due to aging before reaching the service life. The explosion will affect the operation of the pipe network. Moreover, at present, the monitoring of the pipeline network mostly adopts the method of manual monitoring point location selection, which relies on work experience and urban development conditions to make judgments and roughly select points. The shortcomings of insufficient basis and weak rationalization make the urban pipe network often have faults, which greatly affects the normal operation of the urban pipe network. Co...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q10/06G06Q50/26
CPCG06Q10/20G06Q10/067G06Q10/06393G06Q50/26
Inventor 荆于勤
Owner CHONGQING TECH & BUSINESS INST
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