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.

自主分拣和隔离成像软件技术（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，为复杂的实时安全系统提供保证覆盖，使用商用现成（COTS）设备进行无人驾驶核废物分拣和隔离。利用最新的传感技术进行成像，材料检测和碰撞检测，ASSIST结合了传感器融合功能，为未来的核退役分类和隔离应用提供了无人数字交付解决方案。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，成为改装现成（MOTS）设备。该集成解决方案开发使用实时算法，并附加了正式方法工具包，以满足监管、安全关键和任务关键系统保证需求。完成的控制系统将汇集高科技数字图像、触摸和辐射传感器，经过使用验证的坚固可靠的拆除机器人，和一个专门的包装站，用于优化废物/体积的判决，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机器学习算法和实时反馈技术的最新进展，实现数据跟踪和预测性维护的可能性-从而提高可靠性和吞吐量。从而形成一种解决方案，显著提高生产率，安全性，记录保存和商业案例论证，与当今核退役中使用的传统手动和半自动方法相比。