课题基金 / 基金详情

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.

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
负责人:
金额:
$7.64万
依托单位:
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
项目状态:
已结题
起止时间:
2021 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
基于 SORT1 调控自噬体-溶酶体融合作用探 究二氢丹参酮 I 抗卵巢癌作用机制的研究
  • 批准号:
    Q24H280053
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    孙承韬
  • 依托单位:
ProBDNF/SORT1介导的巨噬细胞脂代谢重编程在类风湿性关节炎中的作用及机制研究
  • 批准号:
    2023JJ10088
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2023
  • 负责人:
    胡招兰
  • 依托单位:
SIRT5-线粒体代谢轴失调介导SORT1Hi肺泡巨噬细胞METs形成在围术期急性肺损伤中的作用及机制研究
  • 批准号:
    82371292
  • 项目类别:
    面上项目
  • 资助金额:
    49万元
  • 批准年份:
    2023
  • 负责人:
    戴茹萍
  • 依托单位:
肺成纤维细胞源性CTF1通过SORT1受体促进肝癌肺趋向性转移的机制研究
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    李青
  • 依托单位: