Intelligent pipe gallery information management method and system based on cloud processing

A technology of information management and pipe gallery, applied in data processing applications, neural learning methods, biological neural network models, etc., can solve the problems of lack of intelligent analysis and dependence on manual import, etc., achieve rapid daily operation and maintenance, and enhance utilization efficiency Effect

Pending Publication Date: 2021-05-07
长兴云尚科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, with the maturity of big data technology, technologies that use cloud databases to collect and display business information have emerged. However, the information sources of these technologies almost all rely on manual import, and lack of intelligent analysis. Managed platform

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  • Intelligent pipe gallery information management method and system based on cloud processing
  • Intelligent pipe gallery information management method and system based on cloud processing
  • Intelligent pipe gallery information management method and system based on cloud processing

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specific Embodiment 1

[0085] With the development of technology, there is now a mode of automatic monitoring of integrated utility corridors through robot inspection + AI (artificial intelligence) analysis technology. The video of the pipe gallery is collected by the robot, and the AI ​​algorithm is identified and analyzed to realize the detection of the irregular laying and abnormal state of the pipe gallery within the field of vision. Combined with positioning coordinates and alarm records, the efficient empowerment of pipe gallery maintenance can be realized, and the untimely, unsystematic, incomplete and manual fatigue and easy errors etc. Deep neural networks have made great progress in the field of image classification, and the present invention can use multiple deep neural networks for anomaly detection, including: Resnet, Densenet, VGG, and Alexnet. After several experimental tests, Resnet has achieved a comparative trade-off between speed and accuracy. The present invention achieves the ...

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Abstract

The invention discloses a pipe gallery intelligent information management method and system based on cloud processing. The method comprises the following steps: acquiring an anomaly detection and attribute analysis data set; training a pipe gallery anomaly detection deep neural network model; training a pipe gallery attribute analysis deep neural network model; acquiring information such as smoke sensing, temperature, vision and humidity transmitted by the sensor group; for the visual information, using a deep network classifier to carry out anomaly detection on a newly obtained to-be-identified image; for the visual information, performing attribute analysis on a newly acquired to-be-processed image by using a deep network detector; and carrying out attribute set modification on all sensing information and visual processing information on the basis of the three-dimensional BIM model. According to the method, the pipe gallery can be effectively monitored and analyzed in real time, the maintenance and operation efficiency of the pipe gallery can be improved, and the human resource cost is saved.

Description

technical field [0001] The invention belongs to the technical field of computer digital image processing and pattern recognition, and in particular relates to a method and system for intelligent information management of pipe corridors based on cloud processing. Background technique [0002] The comprehensive pipe gallery (also known as "common ditch" or "common pipeline") is an underground urban pipeline comprehensive corridor, that is, a tunnel space is built underground in the city, and various engineering pipelines such as power, communication, gas, heating, water supply and drainage are integrated It is an important infrastructure and "lifeline" to ensure the operation of the city. The construction of the pipe gallery is of great significance. In the daily maintenance of the pipe gallery, it mainly relies on manual inspection or robot inspection to observe and monitor video analysis and judgment. When the construction of urban utility corridors reaches a certain scale,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/00G06K9/62G06N3/04G06N3/08
CPCG06Q10/0631G06Q10/20G06N3/08G06N3/045G06F18/214
Inventor 钱学明王萱汤培勇王泽远
Owner 长兴云尚科技有限公司
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