Method for monitoring connection correctness of oil discharging pipe based on multi-camera linkage

A multi-camera, correctness technology, applied in neural learning methods, television, biological neural network models, etc., can solve problems such as high labor cost, high risk of error, and inability of superior leaders to supervise and manage, so as to facilitate supervision and management, reduce The effect of human cost

Active Publication Date: 2020-11-27
SICHUAN HONGHE COMM CO LTD
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  • Description
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AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is that the existing technology completely adopts the method of human intervention to check whether the oil discharge pipe is connected correctly, resulting in high labor cost, high risk of error, and basically unable to supervise and manage the superior leaders. The purpose is to provide a A method for monitoring the correctness of the connection of the unloading oil pipe based on multi-camera linkage, which solves the problems encountered in the above-mentioned background technology

Method used

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  • Method for monitoring connection correctness of oil discharging pipe based on multi-camera linkage
  • Method for monitoring connection correctness of oil discharging pipe based on multi-camera linkage
  • Method for monitoring connection correctness of oil discharging pipe based on multi-camera linkage

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Embodiment

[0037] Such as figure 1 As shown, the present invention is a method for monitoring the correctness of the oil discharge pipe connection based on multi-camera linkage, including:

[0038] S1: Set up several monitoring devices in the unloading area of ​​the gas station, collect data from the tanker and the local oil depot through the monitoring devices at different angles to obtain unloading videos, and obtain unloading images based on the unloading videos;

[0039] S2: Detect the oil unloading image through the convolutional neural network to obtain the oil unloading interface and the interface connecting pipeline; mark the oil type on the oil unloading interface to obtain the marking result of the oil type;

[0040] S3: Analyze and extract the interface connection pipeline through the convolutional neural network to obtain the characteristics of the interface connection pipeline. According to the extracted interface connection pipeline features, match the same pipeline under d...

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Abstract

The invention discloses a method for monitoring the connection correctness of an oil discharging pipe based on multi-camera linkage. Original modes of collecting oil discharging images at different angles by combining multiple cameras and an intelligent analysis algorithm are used for replacing an original mode that multiple persons check and verify at the same time. By means of the method, the labor cost can be reduced to a large extent, meanwhile, due to machine operation, objective and accurate analysis can be guaranteed, and by conducting intelligent video capture and snapshot on the oil pipe connecting process in the oil unloading process, superior leaders can conduct supervision and management conveniently.

Description

technical field [0001] The invention relates to the field of artificial intelligence and graphic image technology in the field of computers, in particular to a method for monitoring the correctness of the connection of oil discharge pipes based on multi-camera linkage. Background technique [0002] During the actual unloading process of the gas station, it involves the docking of the oil pipe of the tanker and the local oil depot. Due to the variety of oil types and the classified storage of different oil products in the oil depot, the wrong connection of the oil pipe during the unloading process often occurs. Therefore, a About the detection method of the correctness of the oil discharge pipe connection. However, the existing technology is completely human-intervention method, through which multiple people simultaneously check whether the oil pipe connection is correct during the oil unloading process, and there is no objective, non-artificial and accurate intelligent monit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G06N3/08G06N3/04
CPCH04N7/181G06N3/08G06N3/045
Inventor 陈友明
Owner SICHUAN HONGHE COMM CO LTD
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