Water dissolution method experiment process identification method based on 3D convolutional neural network
A convolutional neural network and experimental process technology, applied in the field of water-soluble method experimental process recognition based on 3D convolutional neural network, can solve the problem of whether there is a water-soluble method experimental process without non-artificial and accurate intelligent monitoring, and achieve effective supervision. , Accurate analysis, the effect of reducing risk
Pending Publication Date: 2020-12-22
SICHUAN HONGHE COMM CO LTD
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Problems solved by technology
[0005] The technical problem to be solved by the present invention is that the existing technology completely adopts the method of human intervention, and monitors whether there is a water-soluble experimental process during the oil unloading process through the camera, and there is no objective, non-artificial and accurate intelligent monitoring during the oil unloading process Whether there is a method for the experimental process of the water-soluble method, the purpose is to provide a method for identifying the experimental process of the water-soluble method based on a 3D convolutional neural network, and solve the problems encountered in the above-mentioned background technology
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[0037] Such as figure 1 As shown, a kind of water-soluble method experimental process identification method based on 3D convolutional neural network of the present invention comprises the following steps:
[0038] S1: Use the monitoring system to collect video images of the unloading area of the gas station to obtain real-time video;
[0039] S2: Divide the real-time video into multiple video segments, each video segment is composed of continuous L frames of pictures; process the video segments to obtain processed video segments;
[0040] S3: Construct a 3D convolutional neural network, use the 3D convolutional neural network to train the processed video clips, and obtain a trained 3D convolutional neural network;
[0041] S4: Use the trained 3D convolutional neural network to identify and analyze the processed video clips, and judge whether the processed video clips contain the experimental process clips of the water-soluble method; if yes, end; if not, return to step S1. ...
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The invention discloses a water dissolution method experiment process identification method based on a 3D convolutional neural network, and the method comprises the steps: S1, collecting a video imageof an oil unloading region of a filling station through a monitoring system, and obtaining a real-time video; S2, dividing the real-time video into a plurality of video clips; processing the video clip to obtain a processed video clip; S3, constructing a 3D convolutional neural network, and training the processed video clip by using the 3D convolutional neural network to obtain a trained 3D convolutional neural network; and S4, identifying and analyzing the processed video clip by using the trained 3D convolutional neural network, and judging whether the processed video clip contains a water-soluble method experiment process clip or not. The original monitoring system of the gas station is upgraded and enabled by combining the mode that the camera collects the images of the oil unloadingarea and the intelligent analysis algorithm, original manual inspection is replaced, and the labor cost is reduced; and meanwhile, an oil enterprise manager can effectively monitor the oil unloading operation of the oil enterprise end in real time.
Description
technical field [0001] The invention belongs to the field of artificial intelligence and graphic image technology in the field of computers, and in particular relates to a method for identifying the experimental process of a water-soluble method based on a 3D 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 oil unloading area, and the oil unloading safety operation, oil unloading quality inspection operation, and safe operation of the oil unloading area 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, fast and effective manner. [0003] Among them, the water-soluble method experiment process in the oil unloading process is an important part of the oil quality inspection, and the current oil quality is analyzed thro...
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Login to View More IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/40G06N3/045
Inventor 陈友明
Owner SICHUAN HONGHE COMM CO LTD