CPS: Small: Sensor Lattices

CPS：小型：传感器晶格

• 批准号: 1035345
• 负责人: Steven Lavalle
• 金额: $ 49万
• 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: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1035345&HistoricalAwards=false
• 关键词: CPS; Small; Sensor; Lattices

Using the newly introduced idea of a sensor lattice, this project conducts a systematic study of the ``granularity'' at which the world can be sensed and how that affects the ability to accomplish common tasks with cyberphysical systems (CPSs). A sensor is viewed as a device that partitions the physical world states into measurement-invariant equivalence classes, and the sensor lattice indicates how all sensors are related. Several distinctive characteristics of the pursued approach are: 1) Virtual sensor models are developed, which correspond to minimal information requirements of common tasks and are independent of particular physical sensor implementations. 2) Uncertainty is decoupled into disturbances and preimages, the latter of which yields the measurement-invariant equivalence classes and sensor lattice. 3) The development of particular spatial and temporal filters that are based on minimal information requirements of a task. 4) Formally establishing the conditions that enable sensors in a CPS to be interchanged, and then determining the relative complexity tradeoffs.The intellectual merit is to understand how mappings from the physical world to sensor outputs affect the solvability and complexity of commonly occurring tasks. This is a critical step in the development of mathematical and computational CPS foundations. Broader impact is expected by improving design methodologies for CPS solutions to societal problems such as assisted living, environmental monitoring, and automated agriculture. The sensor lattice approach is transformative because it represents a new paradigm with which to address basic sensor-based inference issues, which extend well beyond the traditional academic boundaries.

该项目利用新引入的传感器晶格概念，对感知世界的“粒度”以及它如何影响网络物理系统（CPS）完成常见任务的能力进行了系统研究。 传感器被视为将物理世界状态划分为测量不变等价类的设备，并且传感器晶格指示所有传感器如何相关。 所追求的方法的几个显着特征是： 1）开发了虚拟传感器模型，其对应于常见任务的最小信息需求并且独立于特定的物理传感器实现。 2）不确定性被解耦为干扰和原像，后者产生测量不变的等价类和传感器晶格。 3）基于任务的最小信息需求开发特定的空间和时间过滤器。 4) 正式建立 CPS 中传感器能够互换的条件，然后确定相对复杂性权衡。其智力价值在于了解从物理世界到传感器输出的映射如何影响常见任务的可解决性和复杂性。 这是数学和计算 CPS 基础发展的关键一步。 通过改进 CPS 解决方案的设计方法，解决辅助生活、环境监测和自动化农业等社会问题，预计将产生更广泛的影响。 传感器晶格方法具有变革性，因为它代表了一种解决基于传感器的基本推理问题的新范式，远远超出了传统的学术界限。