Autonomous Sort & Segregate Imagery Software Technology (ASSIST) - providing a specialist integrated solution via model-based systems engineering with assurance overlay for complex real-time systems using COTS for nuclear waste.

自主排序

• 批准号: 98554
• 金额: $ 7.64万
• 依托单位: DELKIA LIMITED
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=98554
• 关键词: Autonomous; Sort; Segregate; Imagery; Software

Autonomous Sort & Segregate Imagery Software Technology (ASSIST) - providing a specialist integrated solution via a Model-Based Systems Engineering (MBSE) approach with assurance overlay for complex real-time safety systems using Commercial-Off-The-Shelf (COTS) equipment for unmanned nuclear waste sorting and segregation purposes.Utilising the latest in sensory technology for imaging, material detection, and clash detection, ASSIST incorporates sensor fusion capabilities resulting in an unmanned digital delivery solution for future nuclear decommissioning sort and segregation applications. The Delkia led consortia adopts a Model-Based Systems Engineering approach utilising Commercial-Off-The-Shelf (COTS) equipment or modification of the same to become Modified-Off-The-Shelf (MOTS) equipment. This integrated solutions development uses real-time algorithms with additional overlay of formal method tool kits to meet regulatory, safety-critical and mission-critical systems assurance needs.The completed control system will bring together high-tech digital imagery, touch and radiation sensors, proven in use robust and reliable demolition robot, and a specialised packaging station for optimal waste / volume sentencing and integrate the same to a digital immersive environment with cutting-edge configuration management.The in-built data acquisition and processing system makes use of the latest advances in machine learning algorithms and real-time feedback technologies for data tracing and predicative maintenance possibilities - leading to increased reliability and throughout capacities.Resulting in a solution that significantly improves production rates, safety, record keeping and business case justification against conventional manual and semi-automatic methods as used in nuclear decommissioning today.

自主排序和分离图像软件技术 (ASSIST) - 通过基于模型的系统工程 (MBSE) 方法提供专业的集成解决方案，并使用商用现成 (COTS) 设备为复杂的实时安全系统提供保障覆盖ASSIST 利用最新的成像、材料检测和碰撞检测传感技术，结合了传感器融合功能，为未来的核退役分类和分离提供了无人数字交付解决方案。隔离应用。 Delkia 领导的联盟采用基于模型的系统工程方法，利用商用现成 (COTS) 设备或对其进行修改，成为改进的现成 (MOTS) 设备。这种集成解决方案开发使用实时算法和正式方法工具包的附加叠加，以满足监管、安全关键和任务关键系统保证需求。完整的控制系统将汇集高科技数字图像、触摸和辐射传感器、经过使用验证的强大而可靠的拆除机器人，以及一个专门的包装站，可实现最佳的废物/体积量刑，并将其集成到具有尖端配置管理的数字沉浸式环境中。内置的数据采集和处理系统利用最新的机器学习算法和实时反馈技术的进步用于数据跟踪和预测性维护的可能性 - 从而提高可靠性和整体能力。与当今核退役中使用的传统手动和半自动方法相比，该解决方案可显着提高生产率、安全性、记录保存和业务案例论证。