CPS: Synergy: Collaborative Research: Engineering Safety-Critical Cyber-Physical-Human Systems

CPS：协同：协作研究：工程安全关键网络物理人类系统

• 批准号: 1330077
• 负责人: Alex Kirlik
• 金额: $ 74.27万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1330077&HistoricalAwards=false
• 关键词: CPS; Synergy; Collaborative; Research; Engineering

This cross-disciplinary project brings together a team of engineering and computer science researchers to create, validate, and demonstrate the value of new techniques for ensuring that systems composed of combinations of hardware, software, and humans are designed to operate in a truly synergistic and safe fashion. One notable and increasingly common feature of these "Cyber-Physical-Human" (CPH) systems is that the responsibility for safe operation and performance is typically shared by increasingly sophisticated automation in the form of hardware and software, and humans who direct and oversee the behavior of automation yet may need to intervene to take over manual or shared system control when unexpected environmental situations or hardware or software failures occur. The ultimate goal is to achieve levels of safety and performance in system operation that exceed the levels attainable by either skilled human operators or completely autonomous systems acting alone. To do so, the research team will draw upon their expertise in the design of robust, fault-tolerant control systems, in the design of complexity-reduction architectures for software verification, and in human factors techniques for cognitive modeling to assure high levels of human situation awareness through effective interface design. By doing so, the safety, cost and performance benefits of increasingly sophisticated automation can be achieved without the frequently observed safety risks caused by automation creating greater distance between human operators and system operation. The techniques will be iteratively created and empirically evaluated using experimentation in human-in-the-loop simulations, including a medium-fidelity aircraft and flight simulator and a simulation of assistive automation in a medical context.More broadly, this research is expected to impact and inform the engineering of future CPH systems generally, for all industries and systems characterized by an increasing use of hardware and software automation directed and overseen by humans who provide an additional layer of safety in expected situations, Examples include highway and automotive automation, aerospace and air traffic control automation, semi-automated process control systems, and the many forms of automated systems and devices increasingly being used in medical contexts, such as the ICU and operating room. This research is also expected to inform government and industry efforts to provide safety certification criteria for the technologies used in CPH systems, and to educate a next generation of students trained in the cross-disciplinary skills and abilities needed to engineer the CPH systems of the future. The investigators will organize industry, academic, and government workshops to disseminate results and mentor students who are members of underrepresented groups through the course of this research project.

这个跨学科项目汇集了一个工程和计算机科学研究人员团队，以创建，验证和展示新技术的价值，以确保由硬件，软件和人类组合组成的系统能够以真正协同和安全的方式运行。这些“网络-物理-人类”（CPH）系统的一个显著且日益普遍的特征是，安全操作和性能的责任通常由硬件和软件形式的日益复杂的自动化分担，当出现意外的环境情况或硬件或软件故障时，指导和监督自动化行为的人可能需要介入以接管手动或共享系统控制发生.最终目标是实现系统操作的安全和性能水平，超过熟练的人类操作员或完全自主的系统单独操作所能达到的水平。为此，研究团队将利用他们在鲁棒、容错控制系统设计、软件验证复杂性降低架构设计以及认知建模人为因素技术方面的专业知识，以确保高水平的人类情境意识通过有效的界面设计。通过这样做，可以实现日益复杂的自动化的安全、成本和性能优势，而不会出现自动化导致的频繁观察到的安全风险，从而在操作人员和系统操作之间产生更大的距离。这些技术将通过人在环模拟实验进行迭代创建和经验评估，包括中等保真度的飞机和飞行模拟器以及医疗背景下的辅助自动化模拟。更广泛地说，这项研究预计将影响并告知未来CPH系统的工程，对于以越来越多地使用由在预期情况下提供附加安全层的人指导和监督的硬件和软件自动化为特征的所有行业和系统，例子包括高速公路和汽车自动化，航空航天和空中交通控制自动化，半自动化过程控制系统，以及越来越多地用于医疗环境（如ICU和手术室）的多种形式的自动化系统和设备。这项研究还有望为政府和行业提供信息，为CPH系统中使用的技术提供安全认证标准，并教育下一代学生接受跨学科技能和未来CPH系统工程师所需能力的培训。调查人员将组织行业，学术和政府研讨会，以传播结果，并指导学生谁是代表性不足的群体的成员通过本研究项目的过程中。