Battery detection method and device

Abstract

The invention provides a battery detection method and a device, wherein the method comprising the following steps of: obtaining the picture of each battery on a battery production line, and the corresponding production node; inputting the picture into a preset defect detection model to obtain a detection result output by the defect detection model], wherein the detection result includes: whether there is a defect, the type and position of the defect; and sending a control instruction to the control device of the production node corresponding to the picture when the detection result is that there is a defect, so that the control device shunts the battery corresponding to the picture having the defect according to the control instruction. The invention identifies the defect of the battery bycombining the defect detection model, and is capable of identifying a simple defect and a complex defect. The invention can retrain the defect detection model in combination with the detection result, so that the defect detection model can recognize the latest defect, and automatically shunts the battery according to the identified defect without manual intervention, which improves the efficiencyand accuracy of battery detection and greatly reduces labor costs.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a battery detection method and device. Background technique [0002] There are currently two methods for quality testing of monocrystalline silicon solar cells. The first is purely manual quality inspection, where the monocrystalline silicon solar cells on the production line are manually observed to determine whether they are defective. The second is the machine-assisted manual quality inspection method. The machine collects the pictures of monocrystalline silicon solar cells on the production line, and the quality inspection system combines the defects defined in advance to identify whether there are defects in the pictures. [0003] The first method has high labor costs and poor efficiency. In the second method, the defects defined in the quality inspection system are fixed and difficult to update, and only simple defects can be identified, and complex defects are di...

AI Technical Summary

Problems solved by technology

[0005] For this reason, the first object of the present invention is to propose a battery detection method for solving the problems of poor battery detection efficiency and high cost in the prior art

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