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Barrnon Limited Integrated Sort and Segregate Solution

Barrnon Limited Integrated Sort and Segregate Solution
Barrnon Limited 综合排序和分离解决方案
批准号:
95851
负责人:
金额:
$7.63万
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 --

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中文摘要
翻译
在我们的第一个SBRI竞赛项目中,Barrnon设计并提交了一个名为BIDS(Barrnon集成退役系统)的机器人解决方案。该公司的新机器人项目名为BLISSS(Barnon Limited Integrated Sort and Segregate System),建立在以前的工作基础上。这是一个能够自动识别、定性、拾取和放置退役产生的各种碎片的系统。BLISSS汇集了创新的视觉,传感,机器学习,机器人控制,算法和正式的方法来分类,隔离和验证废物出口的碎片-所有这些都符合核废物分类方法。BLISSS是革命性的,因为它可以复制,并从根本上改进,在废弃过程中,人类工人的能力-消除了在危险环境中对人类操作员进行分类和隔离废物的需要。该技术允许识别物体,根据物质和放射性进行表征,验证,操作和自主放置;系统还受到形式化方法的保护-数学证明系统正在做需要做的事情,并且不能做其他事情,消除了增强智能和人为错误的不确定性。该系统还将提高效率和有效性:* 在工作面上- BLISSS不会感到疲劳,不会感到无聊,不会受到危及生命的伤害,不需要更换PPE,没有人类剂量限制,可以以机器人和机器学习带来的速度24/7工作。由于缺乏返工-布利斯不犯人为错误,由于形式方法数学,它可以像1+1=2一样预测。由于记录保存-所有数字,所有准确,所有编译,所有验证,始终。由于算法得出的优化包装-该系统扫描的形状因子和表面积的项目,并考虑废物验收标准的项目包装。BLISSS不是平台特定的。BIDS平台非常灵活,专为多工具、多传感器兼容性、即插即用而设计。然而,这种能力是通过将机器视觉、传感、机器学习和数学验证与专门为核电池退役开发的硬件相结合而实现的。BLISSS对平台是不可知的。它是一套程序和算法,可以由典型的退役硬件使用,因为它通过行业标准协议和语言进行通信。
英文摘要
In our first SBRI competition entry, Barrnon designed and submitted a robotic solution called BIDS (the Barrnon Integrated Decommissioning System). It can be used to characterize and reduce the size of radioactive assets -- that need decommissioning.The company's new robotic venture is called BLISSS (Barrnon Limited Integrated Sort and Segregate System), building on this previous work. It is a system capable of autonomously identifying, characterizing, picking and placing various debris resulting from decommissioning. BLISSS brings together innovative vision, sensing, machine learning, robotic control, algorithms and formal methods to sort, segregate and verify debris for waste export -- all in accordance with nuclear waste category methodologies.BLISSS is revolutionary in that it can replicate, and radically improve on, the capabilities of a human worker during decommissioning - eliminating the need for human operatives in the hazardous environment to sort and segregate waste. The technology allows an object to be recognized, characterized in terms of substance and radioactivity, verified, manipulated and placed autonomously; also the system is protected by formal methods - a mathematical proof that the system is doing what is required and can _NEVER_ do otherwise, eliminating the uncertainty of augmented intelligence and human error.The system will also increase efficiency and effectiveness:* at the work-face - BLISSS doesn't get fatigued, doesn't get bored, doesn't get life threatening injuries, doesn't need to change out PPE, doesn't have a human dose limitation and can work at the pace brought by robotics and machine learning 24/7\.* due to lack of rework - BLISS does not make human errors, it is as predictable as 1+1=2 due to formal method mathematics.* due to record keeping - all digital, all accurate, all compiled, all verified, always.* due to algorithm derived optimized packing - the system scans the items for form factor and surface area and packs the items taking into consideration Waste Acceptance Criteria.BLISSS is not platform specific. The BIDS platform is flexible and is specifically designed for multiple tool, multiple sensor compatibility, plug and play. However the capability is brought by integrating machine vision, sensing, machine learning and mathematical verification with hardware specifically developed for nuclear cell decommissioning. BLISSS is agnostic to platform. It is a suite of programs and algorithms that can be utilized by typical decommissioning hardware as it communicates via industry standard protocols and languages.
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Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: