Design Automation for Smart Building Systems

被引:54
|
作者
Jia, Ruoxi [1 ]
Jin, Baihong [1 ]
Jin, Ming [1 ]
Zhou, Yuxun [1 ]
Konstantakopoulos, Ioannis C. [1 ]
Zou, Han [1 ]
Kim, Joyce [2 ]
Li, Dan [3 ]
Gu, Weixi [4 ]
Arghandeh, Reza [5 ]
Nuzzo, Pierluigi [6 ]
Schiavon, Stefano [2 ]
Sangiovanni-Vincentelli, Alberto L. [1 ]
Spanos, Costas J. [1 ]
机构
[1] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94709 USA
[2] Univ Calif Berkeley, Dept Architecture, Berkeley, CA 94720 USA
[3] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
[4] Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R China
[5] Florida State Univ, Dept Elect & Comp Engn, Tallahassee, FL 32306 USA
[6] Univ Southern Calif, Dept Elect Engn, Los Angeles, CA 90089 USA
基金
新加坡国家研究基金会;
关键词
Control; cyber-physical system; design automation; machine learning; smart building; PERCEIVED AIR-QUALITY; PLATFORM-BASED DESIGN; FAULT-DETECTION; ENERGY; SIMULATION; MODEL; TEMPERATURE; PERFORMANCE; COMFORT; METHODOLOGY;
D O I
10.1109/JPROC.2018.2856932
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Smart buildings today are aimed at providing safe, healthy, comfortable, affordable, and beautiful spaces in a carbon and energy-efficient way. They are emerging as complex cyber-physical systems with humans in the loop. Cost, the need to cope with increasing functional complexity, flexibility, fragmentation of the supply chain, and time-to-market pressure are rendering the traditional heuristic and ad hoc design paradigms inefficient and insufficient for the future. In this paper, we present a platform-based methodology for smart building design. Platform-based design (PBD) promotes the reuse of hardware and software on shared infrastructures, enables rapid prototyping of applications, and involves extensive exploration of the design space to optimize design performance. In this paper, we identify, abstract, and formalize components of smart buildings, and present a design flow that maps high-level specifications of desired building applications to their physical implementations under the PBD framework. A case study on the design of on-demand heating, ventilation, and air conditioning (HVAC) systems is presented to demonstrate the use of PBD.
引用
收藏
页码:1680 / 1699
页数:20
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