Industrial equipment control method, electronic device and storage medium
A technology of industrial equipment and control methods, applied in the direction of comprehensive factory control, comprehensive factory control, program control, etc., can solve the problems of insufficient comprehensive information, inability to integrate various types of information, insufficient intelligence of equipment and control systems, etc., to achieve Improve the effect of intelligence
Active Publication Date: 2022-06-07
深圳富联智能制造产业创新中心有限公司
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However, the information collected by the equipment is often not comprehensive enough, and it is impossible to integrate multiple types of information to control the equipment, resulting in insufficient intelligence of the control system
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[0060] In order to more clearly understand the above objects, features and advantages of the present application, the present application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments may be combined with each other in the case of no conflict.
[0061] In the following description, many specific details are set forth to facilitate a full understanding of the present application, and the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
[0062] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as co...
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The present application provides an industrial equipment control method, including: acquiring sensing data, visual data, and equipment parameters of industrial equipment; converting sensing data, visual data, and equipment parameters into single-mode feature vectors; converting single-mode feature vectors Input the equipment control model, calculate the correlation coefficient between the equipment parameters and the characteristics of the sensing data and visual data, and form the deep learning layer that completes the training; collect and convert the sensing data, visual data and equipment parameters of industrial equipment in real time Input the unimodal feature vector into the deep learning layer to calculate the defect probability; judge whether there is a preset defect type in the product produced by industrial equipment; when there is a preset defect type, according to the unimodal feature vector of the equipment parameters, sensor data and visual data and correlation coefficient to determine the tracking error and adjust the device parameters. The present application also provides an electronic device and a storage medium. The application controls industrial equipment based on multi-modal information, which improves the intelligence of equipment control.
Description
technical field [0001] The present application relates to the technical field of industrial equipment management, and in particular, to an industrial equipment control method, an electronic device, and a storage medium. Background technique [0002] With the development of industrial technology, the control system of industrial equipment tends to develop intelligently. The control system usually consists of an upper computer and a lower computer. The lower computer usually adopts a programmable logic controller composed of a single-chip microcomputer, which is responsible for real-time motion control. The upper computer is a commonly used computer and is responsible for non-real-time tasks. The upper computer, the lower computer and the core components of the equipment communicate through the field bus, and control the equipment based on the equipment information. However, the information collected by the equipment is often not comprehensive enough, and it is impossible to ...
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IPC IPC(8): G05B19/418
CPCG05B19/41875G05B2219/32368Y02P90/02
Inventor 马力梁宁王威李军旗王树华张会智李航
Owner 深圳富联智能制造产业创新中心有限公司