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智能制造领域中控制系统专利技术探讨

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探讨了智能制造领域中控制系统专利技术的现状、发展与应用.分析了基于机器视觉的质量控制系统的技术特点,包括光源技术、图像传感器技术、图像处理技术的演进及专利申请趋势,综述了自决策与自适应控制技术、物联网与智能控制技术、人工智能与智能控制技术的应用与专利进展.通过案例分析说明专利技术对智能制造实际应用的提升作用,总结其在保护创新、制定技术标准、促进技术共享及提高制造效率方面的价值.分析了智能制造控制系统专利技术面临的挑战,如技术壁垒、高成本、人才短缺及标准不统一等,提出加强研发创新、人才培养、标准制定及合作交流等应对策略.未来,控制系统专利技术将在智能化、绿色化、标准化及技术集成创新方面寻求突破,为智能制造的持续发展提供重要支撑.
Discussion on Control System Patent Technologies in Intelligent Manufacturing
The study explores the current status,development,and application of control system patent technologies in intelligent manufacturing;and analyzes the technology charateristics of quality control system of machine vision-based quality control system,including the evolution of light source technology,image sensor technology,and image processing technology,as well as the trend of patent application.Then the study reviews the application and patent development of self-decision and adaptive control technologies,IoT-based intelligent control technologies,and Al-driven intelligent control technologies.Through case studies,the study demonstrates the role of patent technologies in improving practical applications in intelligent manufacturing and their value in protecting innovation,setting technical standards,promoting technology sharing,and enhancing manufacturing efficiency.Finally,the study summarizes the challenges faced by control system patent technologies in intelligent manufacturing,such as technological barriers,high costs,talent shortages,and lack of standardization,etc.;and proposes strategies including the promotion of R&D innovation,talent development,standardization efforts and collaboration.In the future,control system patent technologies are expected to achieve further breakthroughs in intelligence,green production,standardization,and technology integration,so as to provide essential support for the sustainable development of intelligent manufacturing.

Intelligent manufacturingPatent technologyQuality controlTechnical standards

杨洋、赵明宇、王冠宇

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黑龙江省科学院智能制造研究所,哈尔滨 150090

智能制造 专利技术 质量控制 技术标准

2025

黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
年,卷(期):2025.16(2)