AI智能质检系统在汽车自动化涂胶品质监控中的研究及应用实践

Research and Application Practice of AI Intelligent Quality Inspection System in Automotive Automatic Gluing Quality Monitoring

自动化密封胶喷涂技术已广泛应用于汽车涂装制造行业,而传统的汽车涂胶品质监控方式依赖人工检查,效率低下,且易受人为主观因素影响。随着汽车制造业智能化、自动化、数字化程度的提升,开发高效、精准的涂胶品质监控系统已成为行业急需解决的问题。AI智能质检系统应运而生,通过图像采集、图像处理、AI判断逻辑和深度学习等技术,实现对车身涂胶品质的自动检测,有效提高了喷涂后的品质检测效率和准确性。本文阐述的AI智能质检系统已成功应用于整车涂装生产线,可以实现如轮毂位、电池包周边、尾灯位等重点部位的涂胶品质自动检测,保障稳定的检出率和极低的误检率。该技术的应用不仅提高了生产线的自动化水平,减少了人工检查负荷,可有效降低机器人涂胶异常导致的质量问题及品质失败成本,推动了汽车密封胶涂胶领域由制造自动化逐步迈向质检数字化。未来,随着智能化、电气化和自动化等新技术以及新质生产力的迭代发展,AI智能质检系统的应用需求将大幅度增长。

Automated sealant spraying technology has been widely used in the automotive coating manufacturing industry,while the traditional automotive adhesive quality monitoring method relies on manual inspection,which is inefficient and easily affected by human subjective factors.With the improvement of intelligence,automation and digitalization in the automobile manufacturing industry,the development of efficient and accurate gluing quality monitoring system has become an urgent problem for the industry.The AI intelligent quality inspection system came into being,which realizes the automatic detection of the quality of body gluing through image acquisition,image processing,AI judgment logic and deep learning technologies,and effectively improves the efficiency and accuracy of quality inspection after spraying.The AI intelligent quality inspection system described in this article has been successfully applied to the vehicle coating production line,which can realize the automatic detection of gluing quality in key parts such as wheel hub position,battery pack periphery,tail light position,etc.,to ensure a stable detection rate and a very low false detection rate.The application of this technology not only improves the automation level of the production line,reduces the manual inspection load,can effectively reduce the quality problems and quality failure costs caused by abnormal robot gluing,and promotes the field of automotive sealant gluing from manufacturing automation to quality inspection digitalization.In the future,with the iterative development of new technologies such as intelligence,electrification,and automation,as well as new quality productivity,the application demand for AI intelligent quality inspection systems will increase significantly.