Analysis Solution to Improve Fault Detection on Mechanical Assembly Production Lines

改善机械装配生产线故障检测的分析解决方案

• 批准号: 10073325
• 金额: $ 1.15万
• 依托单位: HELICAL TECHNOLOGY LTD.
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10073325
• 关键词: Analysis; Solution; Improve; Fault; Detection

**Helical Technology Ltd****Generating an affordable, easily-trainable, vision fault-detection system for easy deployment across multiple product assembly lines.****Challenge**Helical Technology is a family-owned manufacturing business based in the North-West which from establishment over 50 years ago as a spring manufacturer, has grown into a global supplier of several specialised mechanical products including valve rotators, actuators and valves.Many production lines within Helical's two UK sites are required to produce a varied range of products in a given day, and many assembly processes rely on precise positioning of component parts to avoid faults and costly quality issues.Historically, quality was often assured by conducting a manual over-check of parts, which was both time consuming and prone to error. In some cases, commercially available vision systems had been deployed on lines to improve throughput and checking quality, but their use across the production line had been limited due to the inherent costs of purchasing and then reconfiguring such systems, which often required outsourcing to third parties.**Solution**Having noted recent advancements in the fields of machine learning an artificial intelligence, a Helical Engineer began to experiment with open-source codes to teach a machine algorithm detect a simplified build error. After gaining some initial successes, it was recognised that further external expertise and resource was needed to produce a full inspection system and develop this idea further.Helical Technology sought partnership with STFC Hartree Institute on an A4I funded project, which led to the development and supply of a novel easily-trainable analysis software method, and the production and deployment of the first demonstrator unit.**Impact**The deployment of the demonstrator system on a Helical production line immediately led to the elimination of the human visual checking operation, which saw increased line productivity and quality of output.Instead of being replaced by a machine, line operatives were redeployed onto more productive and less onerous tasks elsewhere.The demonstrator unit served as a pilot "Industry 4.0" project within the business and was well received by employees, prompting further similar projects to be birthed around the business.Through the collaborative A4I project, Helical employees involved were upskilled in empowered to re-calibrate the unit in house, start new projects, and advise others with their expertise.Through publicity of this project to the wider UK manufacturing community, other similar manufacturing SMEs were prompted to undertake similar projects to increase their competitiveness.

**螺旋技术LTD ****生成一个负担得起的，易于实现的视觉故障检测系统，可在多个产品组装线上易于部署。需要站点来在特定的一天生产各种产品，许多组装过程依赖组件零件的精确定位以避免故障和昂贵的质量问题。从历史上讲，通常可以通过手动过度检查零件来确保质量，这既耗时又易于误差。在某些情况下，已经在线路上部署了商业上可用的视觉系统，以提高吞吐量和检查质量，但是由于购买的固有成本，然后重新配置了这些系统，因此它们在生产线上的使用受到限制，这些系统通常需要外包到第三方。简化的构建错误。 After gaining some initial successes, it was recognised that further external expertise and resource was needed to produce a full inspection system and develop this idea further.Helical Technology sought partnership with STFC Hartree Institute on an A4I funded project, which led to the development and supply of a novel easily-trainable analysis software method, and the production and deployment of the first demonstrator unit.**Impact**The deployment of the demonstrator system on a Helical production line immediately led to the消除人类视觉检查操作，该操作提高了线条的生产力和产出质量。被机器替换的，线路操作员被重新部署到其他地方更加生产力，更繁重的任务。示威者在业务中充当飞行员“行业4.0”项目，并受到了员工的好处，并促使员工在业务中受到促进，促使人们在企业中遇到了更多的项目。重新校准房屋中的设备，开始新项目，并以其专业知识为其他人提供建议。通过该项目向更广泛的英国制造业社区进行宣传，其他类似的制造中小企业被提示进行类似的项目以提高其竞争力。