SOCIAL INDUSTRIAL COLLABORATIVE ENVIRONMENTS INTEGRATING AI, BIG DATA AND ROBOTICS FOR SMART MANUFACTURING
SOCIAL INDUSTRIAL COLLABORATIVE ENVIRONMENTS INTEGRATING AI, BIG DATA AND ROBOTICS FOR SMART MANUFACTURING
批准号:
10042582
负责人:
金额:
$67.14万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
全球经济危机和COVID19大流行要求制造公司重新考虑他们的生产和商业模式。生产系统需要采用能够无缝协作的人力和自动化资源。作为回应,Converging的目标是开发、部署、验证和推广智能和可重新配置的生产系统,包括能够在不同生产环境中行动的多个自治代理(协作机器人、AGV、人类)。多样化的因素将是基于人工智能的多层次认知(线路、车站、资源水平),它将利用对这些资源的集体感知(数字管道),允许它们在确保可信、安全和包容的用户体验的“社会工业环境”下相互作用并与人类无缝共存。该项目建议开发能够:1.感知:通过引入大数据、实时集成和通信体系结构、数字双胞胎和环中人技术来识别和识别过程/资源/环境及其状态2.原因:使用人工智能分析生产系统状态并自主制定行动计划,规划和重新配置算法以及资源自主解决方案3.适应:自动修改硬件和控制系统,通过使用机器人和自主系统、智能设备和自适应机电一体化来执行制定的计划4.协作:与人类或其他资源无缝合作,建立利用智能人机协作、用户体验评估和以用户为中心的工作场所设计的社会工业环境5.创新:通过开放的试点网络以及与本地和国际创新生态系统的链接来扩展其能力和开放性融合将在汽车、飞机生产、白色家电和附加制造产品加工部门展示其成果。
英文摘要
Global economic crises and the COVID19 pandemic have dictated manufacturing firms to rethink their production and business models. Production systems need to adopt both human and automated resourcesthat can work togetherseamlessly. As a response, CONVERGING aims to Develop, deploy, validate and promote smart and reconfigurable production systems including multiple autonomous agents (collaborative robots, AGVs, humans) that are able to act in diverse production environments. The diversifying factors will be a multilevel AI based cognition (line, station, resource levels) which will exploit the collective perception (Digital Pipeline) of these resources, allowing them to interact with each other and seamlessly coexist with humans under a "social industrial environment" that ensures trustful, safe and inclusive user experience The project proposes the development of systems that can: 1. Perceive: Identify and recognize processes/resources/environment and theirstatus by introducing Big Data, Real Time Integration & Communication Architecture, Digital Twins and Human in the Loop techniques 2. Reason: Analyze the production system status and autonomously formulate plan of actions using AI, Planning and Reconfiguration Algorithms as well as Resource Autonomy solutions 3. Adapt: Automatically modify h/w and control systems to execute the formulated plans through the use of Robotics and Autonomous Systems, Smart Devices and Adaptable Mechatronics 4. Collaborate: Seamlessly work with humans or other resources establishing a social industrial environment which exploits Smart Human Machine Collaboration, User experience assessment and User centric workplace design 5. Innovate: Expand its capabilities and Openness via an Open Pilot Network as well as links to local and international innovation ecosystems CONVERGING will demonstrate its results in the Automotive, Aircraft Production, White Goods and Additive Manufacturing products processing sectors.
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