SBIR Phase I: Resource-efficient Remote Monitoring and Diagnostics for Cyber-Physical Systems

SBIR 第一阶段：网络物理系统的资源高效型远程监控和诊断

• 批准号: 1345940
• 负责人: Vinaitheerthan Sundaram
• 金额: $ 15万
• 依托单位: SensorHound, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1345940&HistoricalAwards=false
• 关键词: SBIR; Phase; Resource; efficient; Remote

This Small Business Innovation Research (SBIR) Phase I project aims to develop an efficient remote monitoring and diagnostic software system to detect and diagnose software defects in cyber-physical systems (CPSs). CPSs have the potential to bring about a revolution in efficiency, robustness, and safety in application domains such as smart utility grids and smart health care. To unleash their potential, CPSs must themselves be robust. However, despite state-of-the-art testing, software defects currently do escape into deployed CPSs. Current state-of-practice monitoring and diagnostic systems cannot improve the situation as they were not designed with the constraints of CPSs in mind, which include real-time execution, unreliable links, and resource constrained processors. The proposed technology is aimed at creating a software system capable of monitoring embedded nodes in CPSs for anomalies and providing detailed execution information to quickly diagnose the software defects responsible for any anomalies. The proposed work extends the company's extensive research in efficient collection of information for diagnosing software defects. The company expects to create a prototype monitoring and diagnostic software system for CPSs and demonstrate its effectiveness on existing software defects in CPSs.The broader impact/commercial potential of this project derives from the fact that increasing the reliability and robustness of CPSs will directly increase their adoption in real world applications. CPS technology is directly applicable to a broad range of sectors, including utility grids, smart buildings, manufacturing, health care, transportation, etc. These sectors account for more than $32.3 trillion in economic activity, with the potential to grow to $82 trillion by 2025 - about one half of the global economy. CPSs are thus critical to the national interest in areas such as manufacturing competitiveness, defense, health care, energy production and usage, and disaster monitoring and recovery. Due to the increasing reliance on CPSs in the future, system defects could have drastic consequences. The proposed technology could significantly improve reliability of CPSs by catching defects before they result in significant loss, outages, or failures.

该小型企业创新研究 (SBIR) 第一阶段项目旨在开发高效的远程监控和诊断软件系统，以检测和诊断网络物理系统 (CPS) 中的软件缺陷。 CPS 有潜力在智能公用电网和智能医疗保健等应用领域带来效率、稳健性和安全性方面的革命。为了释放其潜力，CPS 本身必须足够强大。然而，尽管进行了最先进的测试，但软件缺陷目前确实会逃逸到已部署的 CPS 中。当前的实践状态监控和诊断系统无法改善这种情况，因为它们在设计时没有考虑到 CPS 的限制，包括实时执行、不可靠的链接和资源受限的处理器。所提出的技术旨在创建一个软件系统，能够监视 CPS 中嵌入式节点的异常情况，并提供详细的执行信息，以快速诊断导致任何异常的软件缺陷。拟议的工作扩展了该公司在有效收集信息以诊断软件缺陷方面的广泛研究。该公司期望为 CPS 创建一个原型监控和诊断软件系统，并展示其对 CPS 中现有软件缺陷的有效性。该项目更广泛的影响/商业潜力源于这样一个事实：提高 CPS 的可靠性和稳健性将直接提高其性能。在现实世界的应用中采用。 CPS技术直接适用于广泛的行业，包括公用电网、智能建筑、制造、医疗保健、交通运输等。这些行业的经济活动规模超过32.3万亿美元，到2025年有潜力增长到82万亿美元- 约占全球经济的一半。因此，CPS 对于制造业竞争力、国防、医疗保健、能源生产和使用以及灾害监测和恢复等领域的国家利益至关重要。由于未来对 CPS 的依赖日益增加，系统缺陷可能会产生严重后果。所提出的技术可以通过在导致重大损失、中断或故障之前发现缺陷来显着提高 CPS 的可靠性。