SOCIAL INDUSTRIAL COLLABORATIVE ENVIRONMENTS INTEGRATING AI, BIG DATA AND ROBOTICS FOR SMART MANUFACTURING

融合人工智能、大数据和机器人的智能制造社会化工业协作环境

• 批准号: 10042582
• 金额: $ 67.14万
• 依托单位: CRANFIELD UNIVERSITY
• 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
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10042582
• 关键词: SOCIAL; INDUSTRIAL; COLLABORATIVE; ENVIRONMENTS; INTEGRATING

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.

全球经济危机和新冠肺炎疫情迫使制造企业重新思考其生产和商业模式。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旨在开发、部署、验证和推广智能和可重构的生产系统，包括能够在不同生产环境中行动的多个自主代理（协作机器人、AGV、人类）。多样化的因素将是基于多层次人工智能的认知（线路，车站，资源水平），它将利用这些资源的集体感知（数字管道），使它们能够相互交互，并在“社会工业环境”下与人类无缝共存，确保信任，安全和包容的用户体验。感知：通过引入大数据、真实的时间集成和通信架构、数字孪生和人在环技术，识别和识别流程/资源/环境及其状态2.理由：分析生产系统状态，并使用人工智能，规划和重新配置算法以及资源自治解决方案自主制定行动计划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.合作：与人类或其他资源无障碍地合作，建立一个利用智能人机协作、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：通过开放试点网络以及与当地和国际创新生态系统的联系扩大其能力和开放性，Converging将展示其在汽车，飞机生产，白色商品和增材制造产品加工领域的成果。