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Urban drainage pipeline acceptance method for pipeline mapping based on machine vision

A machine vision, urban drainage technology, applied in instruments, measuring devices, scientific instruments, etc., can solve problems such as low efficiency, low safety, and inability to achieve objectification, and achieves increased costs, high storage accuracy, and is conducive to The effect of upgrade maintenance

Inactive Publication Date: 2019-02-15
南京水动力信息科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] The construction of modern digital pipe gallery is an important part of digital city construction. During the construction, use and maintenance of underground pipes, it is necessary to measure and map the internal conditions of the pipes. Traditional manual methods are inefficient, low in safety, and cannot be objective , Quantification, Visualization

Method used

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  • Urban drainage pipeline acceptance method for pipeline mapping based on machine vision
  • Urban drainage pipeline acceptance method for pipeline mapping based on machine vision
  • Urban drainage pipeline acceptance method for pipeline mapping based on machine vision

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Embodiment Construction

[0025] The present invention will be further described in detail below in conjunction with the reaction scheme and specific examples.

[0026] Such as Figure 1-4 As shown, an urban drainage pipeline acceptance method based on machine vision pipeline surveying and mapping includes a machine vision imaging detection system 100, a GIS positioning information query analysis system 200 and a central control command system 300, specifically including the following steps:

[0027] Step 1: The machine vision imaging detection system 100 collects environmental image signals through the PTZ vision module 110. The PTZ vision module 110 is designed based on artificial intelligence vision and has a definition standard of 1080P and a lens angle of 150° wide angle, and passes The integrated sensor module 120 performs object recognition, color judgment, voice recognition and radar monitoring, uses the gyroscope positioning module 130 to collect current position information, and then the mach...

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Abstract

The invention relates to an urban drainage pipeline acceptance method for pipeline mapping based on machine vision. A machine vision imaging detection system collects surrounding environment signals of a complex pipeline, then transmits the image data of a deep drainage pipeline in real time, and performs 3D scene construction according to the image data to generate a 3D augmented reality fusion image. A GIS positioning information query analysis system can perform positioning roaming, and leave an acceptance track in a map layer to generate a mapping drawing. A central control command systemis connected to the machine vision imaging detection system and the GIS positioning information query analysis system, and is used for remotely managing the acceptance of a pipeline mapping instrumentand the drainage pipeline, calculating and judging the condition of the drainage pipeline in real time according to the image data, the environment data, and the 3D fusion image, and releasing a mapping acceptance report. The urban drainage pipeline acceptance method based on the machine vision pipeline mapping can solve various problems such as dangerous and complex environment, complex lightingconditions, difficulty in reaching the pipeline by hand, and the limitation of real-time command during the pipeline mapping and the pipeline engineering acceptance.

Description

technical field [0001] The invention relates to the technical field of pipeline safety monitoring, in particular to a method for checking and accepting urban drainage pipelines based on machine vision pipeline surveying and mapping. Background technique [0002] The construction of modern digital pipe gallery is an important part of digital city construction. During the construction, use and maintenance of underground pipes, it is necessary to measure and map the internal conditions of the pipes. Traditional manual methods are inefficient, low in safety, and cannot be objective , quantification, and visualization. [0003] With the increasing maturity of signal processing technology, machine vision technology, artificial intelligence technology, and positioning and navigation technology, robots are used to replace humans to achieve accurate and accurate surveying and mapping in harsh environments, and to achieve a high degree of automation. Intelligent operation has become t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84
CPCG01N21/84
Inventor 赵杏杏刘威风刘修恒杨绍末陈述
Owner 南京水动力信息科技有限公司
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