CPS: Synergy: Plug-and-Play Cyber-Physical Systems to Enable Intelligent Buildings

摘要1329875(Hu)。尽管建筑物在能源部门中很重要，但它们没有跟上技术进步的步伐，特别是智能功能的引入。实现智能建筑的一个主要障碍是它们高度分散和分散的性质。为了应对这一挑战，将研究一种将彻底改变建筑业的建筑设计、施工和运营的模块化方法。建筑物将由一套预先设计的智能模块组装而成，并以“即插即用”的方式现场调试，就像“乐高”套装一样，但增加了以下功能：(A)便于配置和重新配置，可集成在一起，提供热舒适性和视觉舒适性、通风；(B)提供优化的控制，包括总体居住者满意度、能源效率和性能监测。这项研究的主要目标是开发和展示分布式智能的创新概念，以及即插即用建筑控制的新范例，这是实现这一转变的必要先驱。为了完成这些任务，调查人员组成了一个多学科团队，拥有来自三个工程学科的专业知识，即土木工程(建筑)、机械、电气和计算机工程。这项研究的学术价值在于开发了一种统一的方法，通过以下领域促进了建筑物的计算机物理系统(CPS)工程：(A)建筑物子系统和集成系统的建模和识别；(B)能够对多区域建筑物进行分布式智能监测和控制的多智能体系统网络；(C)随机混合系统的最优控制算法，可以在不确定的情况下优化具有模式变化的建筑物的运行。这些贡献将被集成到多智能体建筑系统网络的模拟和实验平台中，以验证所开发的算法，并为模块化建筑的控制和优化提供一种新的基于CPS的技术解决方案。将为网络建筑系统提供可扩展、自适应、强大和高效的工程解决方案的初步知识/技术基础，这些解决方案将改变当前的建筑运营实践，使下一代智能建筑具有优化的舒适性和能源使用。这个项目的更广泛的影响是：(A)建模表示法、算法和模拟工具的理论发展，这将影响许多科学团体，包括土木/建筑、机械和计算机工程、计算机科学和运筹学。针对异构型多智能体系统网络、分布式智能和最优混合控制算法提出的新原则将在电力系统、交通系统、机器人等建筑系统之外的不同领域产生影响；(B)将拟议的建模、仿真和实验平台集成到新的教学模块和体验式学习活动中，以支持三所工程学院和普渡？S一年级工程项目的课程开发；(C)向行业传播研究成果，以开辟商业和经济的新视野，使绿色和智能建筑得以发展；(D)制定外联和参与倡议，以激励K-12教师和学生参与STEM的学习和研究，扩大未被充分代表的群体对工程的参与，并激励本科生参与与新出现的CPS专题有关的研究。

Abstract1329875 (Hu). Despite their importance within the energy sector, buildings have not kept pace with technological improvements and particularly the introduction of intelligent features. A primary obstacle in enabling intelligent buildings is their highly distributed and diffuse nature. To address this challenge, a modular approach will be investigated for building design, construction, and operation that would completely transform the building industry. Buildings would be assembled from a set of pre-engineered intelligent modules and commissioned on site in a "plug-and-play" manner much like a "LEGO" set but with added capability of (a) allowing for easy configuration and re-configuration that can be integrated to provide delivery of thermal and visual comfort, ventilation; (b) providing optimized controls in terms of overall occupant satisfaction and energy efficiency and performance monitoring. The primary goal of the research is to develop and demonstrate innovative concepts for distributed intelligence along with a new paradigm for plug-and-play building control that is a necessary precursor in enabling this transformation. To accomplish these tasks, the investigators constitute a multidisciplinary team with expertise from three engineering disciplines, namely Civil (Architectural), Mechanical, Electrical and Computer Engineering. The intellectual merit of this research lies in developing a unified approach that advances the engineering of cyber-physical systems (CPS) for buildings by contributing to the following fields: (a) modeling and identification of building subsystems and integrated systems; (b) multi-agent system networks that enable distributed intelligent monitoring and control of multi-zone buildings; (c) optimal control algorithms for stochastic hybrid systems that can optimize the operation of buildings with mode changes under uncertainty. These contributions will be integrated in simulation and experimental platforms for multi-agent building system networks to validate the developed algorithms and to provide a new CPS-based technological solution to the control and optimization of modular buildings. An initial knowledge/technology base will be provided for scalable, adaptive, robust, and efficient engineering solutions for cyber-enabled building systems that will transform the current building operation practice, enabling the next generation of smart buildings with optimized comfort delivery and energy use. The broader impacts of this project are: (a) Theoretical development of modeling representations, algorithms, and simulation tools that will impact a number of scientific communities, including Civil/Architectural, Mechanical and Computer Engineering, Computer Science, and Operations Research. The proposed new principles for heterogeneous multi-agent system networks, distributed intelligence, and optimal hybrid control algorithms will have impacts in a diverse range of fields outside of building systems such as power systems, transportation systems, robotics, etc.; (b) Integration of the proposed modeling, simulation, and experimental platforms into new teaching modules and experiential learning activities that support the curriculum development in three engineering schools and Purdue?s first year engineering program; (c) Dissemination of research outcomes to the industry to open up a new horizon of business and economy that would enable the growth of green and intelligent buildings; (d) The creation of outreach and engagement initiatives that motivate K-12 teachers and students in STEM learning and research, broaden the participation of underrepresented groups in engineering, and motivate undergraduate students to participate in research related to emerging CPS topics.