A hardware transplantation device and software transplantation method for defect detection
A technology of defect detection and software transplantation, which is applied in the direction of optical testing defects/defects, etc., can solve problems such as long development cycle, increased labor cost, and complicated programming, so as to reduce production cost, speed up development cycle, and improve product quality.
Active Publication Date: 2017-03-01
美玛特电子科技(常州)有限公司
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[0002] There are surface defects in the film production process of the lithium battery coating machine. The conventional detection method is to equip two operators, one to feed the material at the front end of the coating machine, and the other to use manual visual inspection at the end, or one The operator feeds the material at the front end and visually inspects at the end at the same time. The first method increases labor costs, and the second method is difficult to balance product quality and production efficiency at the same time.
When using visual detection, the operator needs to have certain professional knowledge, and the visual fatigue of long-term detection will affect the detection accuracy
The CCD machine vision detection device can detect surface defects of the coating machine online, reduce labor costs, and improve product production efficiency, but the developed CCD device needs to be continuously debugged and improved in an industrial environment; commonly used machine vision detection software such as Visual C++ is complex to program , the development cycle is long, and it takes a lot of time to debug; the coating machine is not always on during the production process; various defects do not always appear
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[0039] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0040] The invention discloses a hardware transplantation device for defect detection, which is integrated with a CCD camera detection device with a USB interface of the simulation system and matlab2012 detection application software. Construct a motor-driven lithium battery film coating machine device in a laboratory environment, build a CCD camera three-dimensional control detection system based on this device, and use the special software matlab2012 for digital image signal processing to realize the human-machine interface for static and dynamic defect detection; The above-mentioned detection device and software are transplanted into an industrial environment to realize defect detection.
[0041] A hardware transplantation device and method thereof for defect detection of the present invention, comprising the following steps:
[0042] Step 1. Lithium batt...
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The invention discloses a hardware transplanting device and a software transplanting method used for defect detection. The device comprises a lithium battery thin film simulated production line device, a three-dimensional mechanical adjusting mechanism and an audible and visual alarm device. The method comprises the following steps: (1) arranging the lithium battery thin film simulated production line device; (2) arranging the three-dimensional mechanical adjusting mechanism, a CCD camera and an LED light source; (3) arranging the audible and visual alarm device; (4) selecting and designing software; and (5) transplanting a detection device and transplanting the software. The device is not influenced by an enterprise production line, and hardware and the software can be rapidly transplanted into an enterprise production environment in a laboratory, so that the development period of detection equipment is accelerated, the product quality is improved and the production cost is reduced.
Description
technical field [0001] The invention relates to a software transplantation method and device, and mainly relates to a lithium battery film online coating machine simulation transmission device, a CCD camera machine vision detection device with a USB interface, matlab2012 machine vision development software and a software transplantation method. Background technique [0002] There are surface defects in the film production process of the lithium battery coating machine. The conventional detection method is to equip two operators, one to feed the material at the front end of the coating machine, and the other to use manual visual inspection at the end, or one The operator feeds the material at the front end and visually inspects at the end at the same time. The first method increases labor costs, and the second method is difficult to balance product quality and production efficiency at the same time. When using visual detection, the operator needs to have certain professional ...
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IPC IPC(8): G01N21/89
Inventor 陈功李贞许清泉杨辉朱锡芳杜玉华姜生刘威侯铁倪芮茜袁月
Owner 美玛特电子科技(常州)有限公司