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Digital ID framework for human-centric monitoring and control of smart buildings

Building Simulation 2022年第10期15卷 1709-1728页

作者： Min Deng Xi Wang Da Li carol C.menassa Department of Civil and Environmental Engineering University of MichiganAnn ArborMI 48109USA Glenn Department of Civil Engineering Clemson UniversityClemsonSC 29634USA

Smart offices can help employers attract and retain talented people and can positively impact well-being and productivity.Thanks to emerging technologies and increased computational power,smart buildings with a specific focus on personal experience are gaining attraction.Real-time monitoring and estimation of the human states are key to achieving individual satisfaction.Although some studies have incorporated real-time data into the buildings to predict occupants’indoor experience(e.g.,thermal comfort and work engagement),a detailed framework to integrate personal prediction models with building systems has not been well studied.Therefore,this paper proposes a framework to predict and track the real-time states of each individual and assist with decision-making(e.g.,room assignment and indoor environment control).The core idea of the framework is to distinguish individuals by a new concept of Digital ID(DID),which is then integrated with recognition,prediction,recommendation,visualization,and feedback systems.The establishment of the DID database is discussed and a systematic prediction methodology to determine occupants’indoor comfort is developed.Based on the prediction results,the Comfort Score Index(CSI)is proposed to give recommendations regarding the best-fit rooms for each individual.In addition,a visualization platform is developed for real-time monitoring of the indoor environment.To demonstrate the framework,a case study is presented.The thermal sensation is considered the reference for the room allocation,and two groups of people are used to demonstrate the framework in different scenarios.For one group of people,it is assumed that they are existing occupants with personal DID databases.People in another group are considered the new occupants without any personal database,and the public database is used to give initial guesses about their thermal sensations.The results show that the recommended rooms can provide better thermal environments for the occupants compared to the randomly assigned rooms.Furth

关键词： smart office digital ID(DID) comfort prediction space recommendation human-centric monitoring real-time visualization

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Energy modeling and data structure framework for Sustainable Human-Building Ecosystems （SHBE）- a review

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Frontiers in Energy 2018年第2期12卷 314-332页

作者： Suraj TALELE Caleb TRAYLOR Laura ARPAN Cali CURLEY Chien-Fei CHEN Julia DAY Richard FEIOCK Mirsad HADZIKADIC William J. TOLONE Stan INGMAN Dale YEATTS Omer T. KARAGUZEL Khee Poh LAM carol menassa Svetlana PEVNITSKAYA Thomas SPIEGELHALTER Wei YAN Yimin ZHU Yong X. TAO Department of Mechanical and Energy Engineering University of North Texas Denton Texas 76203 USA College of Communication & Information Florida State University Tallahassee FL 32306 USA School of Public and Environmental Affairs Indiana University-Purdue University Indianapolis Indianapolis 1N 46202 USA Department of Sociology University of Tennessee Knoxville Knoxville TN 37996 USA Human Ecology Department of Construction Management Washington State University Pullman WA 99164 USA Reubin O'D. Askew School of Public Administration and Policy Florida State University Tallahassee FL 32306 USA College of Computing and Informatics University of North Carolina Charlotte Charlotte NC 28223 USA Department of Gerontology University of North Texas Denton TX 76203 USA Department of Gerontology and Department of Sociology University of North Texas Denton TX 76203 USA CMU School of Architecture Carnegie Mellon University Pittsburgh PA 15213 USA School of Design & Environment National University of Singapore Singapore 117566 Singapore Department of Civil and Environmental Engineering University of Michigan Ann Arbor MI 48109 USA Department of Economics Florida State University Tallahassee FL 32306 USA Department of Architecture Florida Intemational University Miami FL 33199 USA College of Architecture Texas A & M University College Station TX 77843 USA Bert S. Turner Department of Construction Management Louisiana State University Baton Rogue LA 70803 USA College of Engineering and Computing Nova Southeastern University Davie FL 33314 USA

This paper contributes an inclusive review of scientific studies in the field of sustainable human building ecosystems （SHBEs）. Reducing energy consumption by making buildings more energy efficient has been touted as an easily attainable approach to promoting carbon-neutral energy societies. Yet, despite significant progress in research and technology development, for new buildings, as energy codes are getting more stringent, more and more technologies, e.g., LED lighting, VRF systems, smart plugs, occupancy-based controls, are used. Nevertheless, the adoption of energy efficient measures in buildings is still limited in the larger context of the developing countries and middle income/low-income population. The objective of Sustainable Human Building Ecosystem Research Coordination Network （SHBE-RCN） is to expand synergistic investigative podium in order to subdue barriers in engineering, architectural design, social and economic perspectives that hinder wider application, adoption and subsequent performance of sustainable building solutions by recognizing the essential role of human behaviors within building-scale ecosystems. Expected long-term outcomes of SHBE-RCN are collaborative ideas for transformative technologies, designs and methods of adoption for future design, construction and operation of sustainable buildings.

关键词： sustainability building energy modeling（BEM） occupant behaviors （OB） sustainable ecosystems System for the Observation of Populous Heterogeneous Information （SOPHI）

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Distributed Simulation Platforms and Data Passing Tools for Natural Hazards Engineering: Reviews, Limitations,and Recommendations

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International Journal of Disaster Risk Science 2021年第5期12卷 617-634页

作者： Lichao Xu Szu-Yun Lin Andrew W.Hlynka Hao Lu Vineet R.Kamat carol C.menassa Sherif El-Tawil Atul Prakash Seymour M.J.Spence Jason McCormick Department of Civil and Environmental Engineering University of MichiganAnn ArborMI 48109USA Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMI 48109USA

here has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards,such as the interactions and coupled effects between civil infrastructure systems response,human behavior,and social policies,for improved community resilience.Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process.This can be implemented by means of distributed simulation platforms or data passing tools.In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards,this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields.With this aim,the article provides a comprehensive review of the most commonly used generic distributed simulation platforms(Distributed Interactive Simulation(DIS),High Level Architecture(HLA),Test and Training Enabling Architecture(TENA),and Distributed Data Services(DDS))and data passing tools(Robot Operation System(ROS)and Lightweight Communication and Marshalling(LCM))and compares their advantages and disadvantages.Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation.For mitigating the identified limitations,two platform design recommendations are provided,namely message exchange wrappers and hybrid communication,to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework.

关键词： Civil infrastructure Data passing tools Distributed simulation platforms Hybrid communication Message exchange wrapper Natural hazards

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