Real-time detection processing method and system for detects of lithium battery pole piece

Abstract

The invention discloses a real-time detection processing method for defects of a lithium battery pole piece. The method comprises the steps of S1, acquiring motion information of the pole piece transmitted at a high speed by adopting an encoder; S2, triggering a linear array camera to acquire a pole piece image by using the encoder; S3, identifying defects of the pole piece according to the imagefeatures; S4, carrying out NG grade judgment on the defects, and recording position information of the defects; and S5, performing defect processing operation on the serious defects by a defect processing device. The invention further discloses a real-time detection processing system for defects of the lithium battery pole piece, which adopts the method. According to the invention, defects can beautomatically classified and processed, response delay of images and a processing device is eliminated, the detection precision is high, the efficiency is good, and the requirements of high-speed production and real-time detection of battery pole pieces can be met.

Description

technical field [0001] The invention relates to a method for detecting and processing a pole piece of a lithium battery, in particular to a method and a system for detecting and processing a pole piece of a lithium battery in real time. Background technique [0002] At present, the domestic CCD visual inspection technology is still in the stage of rapid development, and many workloads that require high detection accuracy, poor detection environment, and cannot be completed manually must be replaced by visual inspection technology. When applying visual inspection, it is necessary to consider its real-time detection. Taking the defect detection of lithium battery pole pieces as an example, in the process of defect detection and marking, the factors affecting marking mainly include the resolution of the camera (basically negligible), external factors (machine shake / encoder slipping, etc.) ), the fluctuation of the response time during the interaction process of the hardware, i...

AI Technical Summary

Problems solved by technology

Taking the defect detection of lithium battery pole pieces as an example, in the process of defect detection and marking, the factors affecting marking mainly include the resolution of the camera (basically negligible), external factors (machine shake / encoder slipping, etc.) ), the fluctuation of the response time during the interaction process of the hardware, in the real-time online monitoring process, the position of the camera and the marking machine is relatively fixed and the distance is marked as L, assuming that the position of the defect coincides with the position of the origin of the camera, the encoder (number of pulses ) walk a fixed distance to execute the marking mark. The process of image acquisition is to obtain the photoelectric signal through the photosensitive chip, convert the photoelectric signal on each pixel into a digital signal through the A / D converter, and then process it into a digital image cache and transmit it through the transmission line. On the PC, the process will be obtained in high and low speed states and the hardware configuration will be different within 50ms (mainly refers to the collection of a picture, the response time of the defect processing device (such as a marking machine), the communication time of the conventional network port or serial port, and IO Response time) fluctuations, while the battery pole piece defect detection in the prior art has the technical problems of slow response, poor detection accuracy and poor consistency of the battery pole piece under high and low speed states

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