基于DCCK Vision PIus的锂电池智能检测系统研究与实现

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中图分类号：TP391.4 文献标识码：A 文章编号：2096-4706（2025）17-0007-06

Abstract： Withthedevelopmentoflithiumbatterymanufacturing towards high precisionand intelligence，machine Vision technologyhas become thecore means toimprove productionqualityandeficiency.BasedontheDCCK VisionPlus visual platformofDechuang Intelligent Control TechnologyCo.，Ltd.，this paperconstructsanintellgent detection systemcovering thewholeproductionprocessoflithium batery.Thesystemrealizes the precise positioningoflithiumbatteriesthrough the integration of multi-camera collaborative calibration （positioning accuracy up to±0.1mm ），sub-pixel edge detection，Color Match electrode color matching adaptive image processing algorithm，and industrial communication protocolPROFINET/EtherCAT. The repeatability of size measurement can reach ±0.02mm ，and the accuracy of defect classification and string recognition is as high as 99.5% Experiments show that the system completes the whole process detection of a single batery in 3seconds.The overall performanceis better than the traditional manual detection. The efficiency is improved by 300% and the cost is reduced by 35% It provides a reusable technical paradigm for intelligent manufacturing of lithium batteries.

Keywords： machine vision; positioningand calibration;defect detection; size measurement; DCCK Vision Plussoftware

0 引言

工业4.0背景下，锂电池作为新能源产业的核心组件，其质量直接影响电动汽车、储能系统等关键领域的安全性和可靠性。（剩余7718字）