Oil pipe mopping recognition method based on convolutional neural network

A technology of convolutional neural network and identification method, applied in the field of oil pipe mopping identification, can solve problems such as supervision, and achieve the effect of reducing risks, reducing labor costs, and accurately analyzing

Pending Publication Date: 2021-01-01
SICHUAN HONGHE COMM CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to solve the problem of supervising refueling gestures only through manual intervention in the prior art, the present invention provides a recognition method for tubing mopping the floor based on convolutional neural network

Method used

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  • Oil pipe mopping recognition method based on convolutional neural network
  • Oil pipe mopping recognition method based on convolutional neural network
  • Oil pipe mopping recognition method based on convolutional neural network

Examples

Experimental program
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Embodiment

[0043] Such as figure 1 As shown, in this embodiment, a method for recognizing tubing mopping the floor based on a convolutional neural network includes the following steps:

[0044] S1: The monitoring system collects video data of the area near the tanker and stores it in the memory;

[0045] S2: Intercept an image of the video data at each preset time to obtain a historical image set; obtain the possible areas where the tubing mopping the ground may occur based on the historical image set, and mark the possible areas where the tubing mopping the ground may occur to obtain a marked image set;

[0046] S3: Define the areas where the oil pipe mopping the floor may appear in the image, 0 means normal, 1 means the oil pipe mopping the floor, and 2 means other situations;

[0047] S4: Construct a convolutional neural network, use the convolutional neural network to train the labeled image set, and obtain a trained convolutional neural network;

[0048] S5: Use the trained convol...

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Abstract

The invention discloses an oil pipe mopping recognition method based on a convolutional neural network, and the method comprises the following steps of collecting video data of an area nearby an oiling machine by a monitoring system, and storing the video data in a storage unit; intercepting an image from the video data every preset time to obtain a historical image set; according to the historical image set, areas where oil pipe mopping possibly occurs are obtained, marking the areas where oil pipe mopping possibly occurs, and obtaining a marked image set; defining an area where the oil pipemopping may occur in the image, 0 representing that the oil pipe mopping is normal, 1 representing that the oil pipe mopping is performed, and 2 representing other conditions; constructing a convolutional neural network, and training the marked image set by using the convolutional neural network to obtain a trained convolutional neural network; using the trained convolutional neural network to determine the marked image set, and if the output is 0, it is determined that there is no abnormal condition; if the output is 1, judging that the oil pipe is mopped; and if the output is 2, judging thatother abnormal conditions exist.

Description

technical field [0001] The invention relates to the field of image technology, in particular to a recognition method for oil pipe mopping the floor based on a convolutional neural network. Background technique [0002] At the beginning of the establishment of the gas station, according to the security requirements, cameras were installed in the fuel dispenser area, and the safe operation and safe operation of the fuel dispensers of the gas station were inspected through camera monitoring. This method has major flaws, and it cannot transmit safety warning information and various risk information to managers in a timely, rapid and effective manner. [0003] Among them, the oil pipe mopping the floor of the fuel tanker is the most common safety hazard. When oil companies manage the gas station sites under their jurisdiction, the existing processing method is to check and collect evidence through surveillance video and video recording. After a safety incident occurs, it cannot b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/41G06N3/045
Inventor 陈友明
Owner SICHUAN HONGHE COMM CO LTD
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