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Energy efficiency of small buildings with smart cooling system in the summer

Yazdan DANESHVAR, Majid SABZEHPARVAR, Seyed Amir Hossein HASHEMI

《能源前沿（英文）》 2022年 第16卷 第4期   页码 651-660 doi: 10.1007/s11708-020-0699-7

摘要： In this paper, a novel cooling control strategy as part of the smart energy system that can balance thermal comfort against building energy consumption by using the sensing and machine programming technology was investigated. For this goal, a general form of a building was coupled by the smart cooling system (SCS) and the consumption of energy with thermal comfort cooling of persons simulated by using the EnergyPlus software and compared with similar buildings without SCS. At the beginning of the research, using the data from a survey in a randomly selected group of hundreds and by analyzing and verifying the results of the specific relationship between the different groups of people in the statistical society, the body mass index (BMI) and their thermal comfort temperature were obtained, and the sample building was modeled using the EnergyPlus software. The result show that if an intelligent ventilation system that can calculate the thermal comfort temperature was used in accordance with the BMI of persons, it can save up to 35% of the cooling load of the building yearly.

关键词： smart home     heating and cooling systems     saving energy     optimal consumption of energy    

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智能家居环境中基于移动机器人的失物搜索 Research Articles

Qi WANG, Zhen FAN, Wei-hua SHENG, Sen-lin ZHANG, Mei-qin LIU

《信息与电子工程前沿（英文）》 2019年 第20卷 第8期   页码 1036-1048 doi: 10.1631/FITEE.1800275

摘要： 智能家居可提供补充信息以帮助家居服务机器人。本文利用智能家居环境中机器人所获取的历史轨迹数据，提出一种机器人失物搜索（MIF）系统。首先，提出一种多传感器融合方法定位和跟踪用户。其次，利用人物历史轨迹所包含的知识，提出一种路径规划方法生成机器人搜索路径。再次，应用一种基于卷积神经网络的实时物体检测单元检测目标丢失物品。基于搭建的智能家居测试平台进行MIF系统相关实验。最后，实验结果验证了所提方案的准确性和有效性。

关键词： 家居服务机器人；智能家居；异质传感器；机器人自主失物搜索    

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我国老年智慧康养平台建设路径研究

侯汉坡,位鹤,王颍超,于今,邱贵兴

《中国工程科学》 2022年 第24卷 第2期   页码 170-178 doi: 10.15302/J-SSCAE-2022.02.023

摘要：

我国正处于老年人口数量较多、老龄化速度加快、应对人口老龄化任务繁重的阶段，利用现代化技术建立老年智慧康养平台是解决我国养老问题的有效途径。本文阐述了建设老年智慧康养平台的背景以及相关概念与发展现状，以杭州市西湖区老年智慧康养平台为案例，深入分析了老年智慧康养平台的建设模型与发展面临的问题，进而总结了我国老年智慧康养平台的共性特征。研究提出了我国老年智慧康养平台的建设路径：以科技手段助力实现健康中国为建设目标，以全国康养信息和数据的互联互通为建设基础，构建“社区嵌入型”智慧康养服务综合体来调动服务资源，开展远程健康数据监测和健康管理来强化信息支撑，发挥地域优势并促进本土康养产业升级。为此建议，推动康养产业及科技转化，健全老年人精神需求保障机制，完善老年人能力评估体系，构建智慧康养标准体系，协调城乡智慧康养产业发展。

关键词： 老龄化     健康中国     社区居家养老     智慧健康养老     养老服务     康养平台    

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Heterogeneous length-of-stay modeling of post-acute care residents in the nursing home with competing

《工程管理前沿（英文）》   页码 577-591 doi: 10.1007/s42524-022-0203-7

摘要： Post-acute care (PAC) residents in nursing homes (NHs) are recently hospitalized patients with medically complex diagnoses, ranging from severe orthopedic injuries to cardiovascular diseases. A major role of NHs is to maximize restoration of PAC residents during their NH stays with desirable discharge outcomes, such as higher community discharge likelihood and lower re/hospitalization risk. Accurate prediction of the PAC residents’ length-of-stay (LOS) with multiple discharge dispositions (e.g., community discharge and re/hospitalization) will allow NH management groups to stratify NH residents based on their individualized risk in realizing personalized and resident-centered NH care delivery. Due to the highly heterogeneous health conditions of PAC residents and their multiple types of correlated discharge dispositions, developing an accurate prediction model becomes challenging. Existing predictive analytics methods, such as distribution-/regression-based methods and machine learning methods, either fail to incorporate varied individual characteristics comprehensively or ignore multiple discharge dispositions. In this work, a data-driven predictive analytics approach is considered to jointly predict the individualized re/hospitalization risk and community discharge likelihood over time in the presence of varied residents’ characteristics. A sampling algorithm is further developed to generate accurate predictive samples for a heterogeneous population of PAC residents in an NH and facilitate facility-level performance evaluation. A real case study using large-scale NH data is provided to demonstrate the superior prediction performance of the proposed work at individual and facility levels through comprehensive comparison with a large number of existing prediction methods as benchmarks. The developed analytics tools will allow NH management groups to identify the most at-risk residents by providing them with more proactive and focused care to improve resident outcomes.

关键词： nursing home     predictive analytics     individualized prediction     competing risks     health outcomes    

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Distributionally robust optimization of home energy management system based on receding horizon optimization

Jidong WANG, Boyu CHEN, Peng LI, Yanbo CHE

《能源前沿（英文）》 2020年 第14卷 第2期   页码 254-266 doi: 10.1007/s11708-020-0665-4

摘要： This paper investigates the scheduling strategy of schedulable load in home energy management system (HEMS) under uncertain environment by proposing a distributionally robust optimization (DRO) method based on receding horizon optimization (RHO-DRO). First, the optimization model of HEMS, which contains uncertain variable outdoor temperature and hot water demand, is established and the scheduling problem is developed into a mixed integer linear programming (MILP) by using the DRO method based on the ambiguity sets of the probability distribution of uncertain variables. Combined with RHO, the MILP is solved in a rolling fashion using the latest update data related to uncertain variables. The simulation results demonstrate that the scheduling results are robust under uncertain environment while satisfying all operating constraints with little violation of user thermal comfort. Furthermore, compared with the robust optimization (RO) method, the RHO-DRO method proposed in this paper has a lower conservation and can save more electricity for users.

关键词： distributionally robust optimization (DRO)     home energy management system (HEMS)     receding horizon optimization (RHO)     uncertainties    

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State identification of home appliance with transient features in residential buildings

《能源前沿（英文）》 2022年 第16卷 第1期   页码 130-143 doi: 10.1007/s11708-022-0822-z

摘要： Nonintrusive load monitoring (NILM) is crucial for extracting patterns of electricity consumption of household appliance that can guide users’ behavior in using electricity while their privacy is respected. This study proposes an online method based on the transient behavior of individual appliances as well as system steady-state characteristics to estimate the operating states of the appliances. It determines the number of states for each appliance using the density-based spatial clustering of applications with noise (DBSCAN) method and models the transition relationship among different states. The states of the working appliances are identified from aggregated power signals using the Kalman filtering method in the factorial hidden Markov model (FHMM). Thereafter, the identified states are confirmed by the verification of system states, which are the combination of the working states of individual appliances. The verification step involves comparing the total measured power consumption with the total estimated power consumption. The use of transient features can achieve fast state inference and it is suitable for online load disaggregation. The proposed method was tested on a high-resolution data set such as Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED) and it outperformed other related methods in the literature.

关键词： nonintrusive load monitoring (NILM)     load disaggregation     online load disaggregation     Kalman filtering     factorial hidden Markov model (FHMM)     Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED)    

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Should medium-sized contractors still implement home-made information technologies on construction sites

Conrad BOTON, Éric ST-PIERRE, Gabriel LEFEBVRE

《工程管理前沿（英文）》 2020年 第7卷 第1期   页码 142-158 doi: 10.1007/s42524-019-0065-9

摘要： Despite the increasing dissemination of the Building Information Modeling (BIM) approach, many firms are still far from BIM and are only starting to adopt information technologies. We conducted an ethnographic action research with an industrial partner that implements information technologies on its construction sites, with a strong preference for home-made applications. Results show that the development of such applications faces difficulties and that multiple iterations and versions are necessary before achieving the expected goals because the required competencies are lacking among internal development teams. Moreover, initial needs evolve considerably throughout the application’s development and evaluation process. However, notwithstanding the difficulties encountered during the different application development phases, the industrial partner believes the decision to be worthwhile because of the desire to have internal control over the project data and the need to consider certain specificities related to business processes.

关键词： small- and medium-sized enterprises     mobile computing     mobile cloud computing     information technology for construction     construction site     ethnographic action research    

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Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

《信息与电子工程前沿（英文）》 2016年 第17卷 第5期   页码 389-402 doi: 10.1631/FITEE.1500385

摘要： Accurate home location is increasingly important for urban computing. Existing methods either rely on continuous (and expensive) Global Positioning System (GPS) data or suffer from poor accuracy. In particular, the sparse and noisy nature of social media data poses serious challenges in pinpointing where people live at scale. We revisit this research topic and infer home location within 100 m×100 m squares at 70% accuracy for 76% and 71% of active users in New York City and the Bay Area, respectively. To the best of our knowledge, this is the first time home location has been detected at such a fine granularity using sparse and noisy data. Since people spend a large portion of their time at home, our model enables novel applications. As an example, we focus on modeling people’s health at scale by linking their home locations with publicly available statistics, such as education disparity. Results in multiple geographic regions demonstrate both the effectiveness and added value of our home localization method and reveal insights that eluded earlier studies. In addition, we are able to discover the real buzz in the communities where people live.

关键词： Home location     Mobility patterns     Healthcare    

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Blockchain-based smart contract for smart payment in construction: A focus on the payment freezing and

《工程管理前沿（英文）》 2022年 第9卷 第2期   页码 177-195 doi: 10.1007/s42524-021-0184-y

摘要： Late payment, and indeed no payment, is a rampant and chronic problem that has plagued the global construction industry for too long. Recent development in blockchain technology, particularly its smart contract, seems to provide a new opportunity to improve this old problem. However, this opportunity is largely unexploited. This study aims to develop a blockchain-based smart contract (BBSC) system for smart payment in the construction industry by focusing on the fundamental cycle of payment freezing (sometimes also synonymously called payment guarantees) and disbursement application. Firstly, a BBSC framework, containing three processes of (a) initiation and configuration, (b) payment freezing, and (c) disbursement application, is developed. Next, based on the framework, the system architecture of the BBSC system, containing three layers of (1) Infrastructure as a Service (IaaS), (2) Blockchain as a Service (BaaS), and (3) Software as a Service (SaaS) is proposed and elaborated. Finally, based on the system architecture, a BBSC prototype system is developed using a real-life modular construction project as a case study. It was found that the prototype system can improve the certainty and efficiency of the progress payment, thereby enabling smart payment in construction transactions. Without advocating radical changes (e.g., the contractual relationships or the intermediate role of banks in modern construction projects), the prototype can be developed into a real-life BBSC system that can work compatibly with current advancements in the field. Future works are recommended to fine-tune the findings and translate and implement them in real-life applications.

关键词： blockchain     construction project     smart contract     smart payment     payment dispute    

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A literature review of smart warehouse operations management

《工程管理前沿（英文）》 2022年 第9卷 第1期   页码 31-55 doi: 10.1007/s42524-021-0178-9

摘要： E-commerce, new retail, and other changes have highlighted the requirement of high efficiency and accuracy in the logistics service. As an important section in logistics and supply chain management, warehouses need to respond positively to the increasing requirement. The “smart warehouse” system, which is equipped with emerging warehousing technologies, is increasingly attracting the attention of industry and technology giants as an efficient solution for the future of warehouse development. This study provides a holistic view of operations management problems within the context of smart warehouses. We provide a framework to review smart warehouse operations management based on the characteristics of smart warehouses, including the perspectives of information interconnection, equipment automation, process integration, and environmental sustainability. A comprehensive review of relevant literature is then carried out based on the framework with four perspectives. This study could provide future research directions on smart warehouses for academia and industry practitioners.

关键词： smart warehouse     operations management     interconnection     automation     integration     sustainability    

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基于解耦价值和策略强化学习的家庭能源管理方法

熊珞琳,唐漾,刘臣胜,毛帅,孟科,董朝阳,钱锋

《信息与电子工程前沿（英文）》 2023年 第24卷 第9期   页码 1261-1272 doi: 10.1631/FITEE.2200667

摘要： 由于电动汽车的普及性和家用电器的灵活性，在动态电价下对家庭能源系统进行能源调度优化电力成本和保障居民舒适度是可行的。本文提出一种基于数据驱动的深度强化学习家庭能源管理方法。首先，为揭示影响电动汽车充电行为的多种不确定因素，引入一种结合驾驶员经验、突发事件和交通状况的改进数学模型描述电动汽车在家庭能源系统中的动态能量需求。其次，提出一种解耦优势演员-评论家（DA2C）算法，通过缓解策略和价值共享网络导致的过拟合问题提升能源优化性能。此外，策略函数和价值函数的解耦网络确保了所提方法在不可见场景中的泛化性。最后，将所提方法与现有方法进行综合实验比较。结果表明，该方法能在不同场景下优化用电成本并兼顾居住舒适度。

关键词： 家庭能源系统     电动汽车     强化学习     泛化性    

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Potential advantages in combining smart and green infrastructure over silo approaches for future cities

Yamuna KALUARACHCHI

《工程管理前沿（英文）》 2021年 第8卷 第1期   页码 98-108 doi: 10.1007/s42524-020-0136-y

摘要： Cities are incorporating smart and green infrastructure components in their urban design policies, adapting existing and new infrastructure systems to integrate technological advances to mitigate extreme weather due to climate change. Research has illustrated that smart green infrastructure (SGI) provides not only climate change resilience but also many health and wellbeing benefits that improve the quality of life of citizens. With the growing demand for smart technology, a series of problems and challenges, including governance, privacy, and security, must be addressed. This paper explores the potential to transition from grey, green, or smart silos to work with nature-based solutions and smart technology to help change cities to achieve considerable environmental and socio-economic benefits. The concepts of grey, green, and smart infrastructure are presented, and the needs, benefits, and applications are investigated. Moreover, the advantages of using integrated smart, green nature-based solutions are discussed. A comprehensive literature review is undertaken with keyword searches, including journal papers, stakeholder and case study reports, and local authority action plans. The methodology adopts multimethod qualitative information review, including literature, case studies, expert interviews, and documentary analysis. Published data and information are analysed to capture the key concepts in implementing SGI systems, such as storm-water control, flood and coastal defense, urban waste management, transportation, recreation, and asset management. The paper investigates the elimination of silo approaches and the alleviation of the destructions caused by extreme weather events using these interdependent SGI systems supported by novel data-driven platforms to provide nature-based solutions to boost the health and wellbeing of the residents.

关键词： grey infrastructure     green infrastructure     smart infrastructure     smart and green combined infrastructure     smart cities     future cities    

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Smart contract applications in the built environment: How prepared are Nigerian construction stakeholders

《工程管理前沿（英文）》 doi: 10.1007/s42524-023-0275-z

摘要： Studies have demonstrated that advanced technology, such as smart contract applications, can enhance both pre- and post-contract administration within the built environment sector. Smart contract technology, exemplifying blockchain technologies, has the potential to improve transparency, trust, and the security of data transactions within this sector. However, there is a dearth of academic literature concerning smart contract applications within the construction industries of developing countries, with a specific focus on Nigeria. Consequently, this study seeks to explore the relevance of smart contract technology and address the challenges impeding its adoption, offering strategies to mitigate the obstacles faced by smart contract applications. To investigate the stakeholders, this research conducted 14 virtual interview sessions to achieve data saturation. The interviewees encompassed project management practitioners, senior management personnel from construction companies, experts in construction dispute resolution, professionals in construction software, and representatives from government construction agencies. The data obtained from these interviews underwent thorough analysis employing a thematic approach. The study duly recognizes the significance of smart contract applications within the sector. Among the 12 identified barriers, issues such as identity theft and data leakage, communication and synchronization challenges, high computational expenses, lack of driving impetus, excessive electricity consumption, intricate implementation processes, absence of a universally applicable legal framework, and the lack of a localized legal framework were recurrent impediments affecting the adoption of smart contract applications within the sector. The study also delves into comprehensive measures to mitigate these barriers. In conclusion, this study critically evaluates the relevance of smart contract applications within the built environment, with a specific focus on promoting their usage. It may serve as a pioneering effort, especially within the context of Nigeria.

关键词： built environment industry     digitalization     Nigeria     smart contract     technological revolution    

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Operations management of smart logistics: A literature review and future research

Bo FENG,Qiwen YE

《工程管理前沿（英文）》 2021年 第8卷 第3期   页码 344-355 doi: 10.1007/s42524-021-0156-2

摘要： The global collaboration and integration of online and offline channels have brought new challenges to the logistics industry. Thus, smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations. Technologies, such as the Internet of Things, information communication technology, and artificial intelligence, enable more efficient functions into logistics operations. However, they also change the narrative of logistics management. Scholars in the areas of engineering, logistics, transportation, and management are attracted by this revolution. Operations management research on smart logistics mainly concerns the application of underlying technologies, business logic, operation framework, related management system, and optimization problems under specific scenarios. To explore these studies, the related literature has been systematically reviewed in this work. On the basis of the research gaps and the needs of industrial practices, future research directions in this field are also proposed.

关键词： smart logistics     operations management     optimization     Internet of Things    

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DSM in an area consisting of residential, commercial and industrial load in smart grid

Balasubramaniyan SARAVANAN

《能源前沿（英文）》 2015年 第9卷 第2期   页码 211-216 doi: 10.1007/s11708-015-0351-0

摘要： With the latest introduction of the demand side management (DSM) in smart grids, the power distribution units are able to modify the load schedules of the consumers. This involves a co-operative interaction of the utility and the consumers so as to achieve customer load modifications in which the customer, utility and society all are benefited. The interaction is performed with the help of the devices known as the smart meter. This paper shows the use of game theory and logical mathematical expressions in order to achieve the objectives. The objectives are to minimize the peak to average ratio (PAR) and the energy cost. The outcome of the game between supplier and customers helps to shape the load profile. The design proposed in this paper is very user-friendly and is based on simple logarithmic programming computations. In this paper, residential, commercial and industrial types of loads are taken into account. A basic 24 h load schedule along with the fluctuating prices at each hour of the day is forecasted by the supplier of the various shiftable and non-shiftable loads and then that schedule is conveyed to the user. The users are encouraged to shift their high load devices to off-peak hours which will not only reduce their electricity costs but also substantially reduce the PAR in the load demand.

关键词： demand side management (DSM)     smart grids     peak to average ratio (PAR)     smart meters and logarithmic price function    

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标题 作者 时间 类型 操作

Energy efficiency of small buildings with smart cooling system in the summer

Yazdan DANESHVAR, Majid SABZEHPARVAR, Seyed Amir Hossein HASHEMI

期刊论文

智能家居环境中基于移动机器人的失物搜索

Qi WANG, Zhen FAN, Wei-hua SHENG, Sen-lin ZHANG, Mei-qin LIU

期刊论文

我国老年智慧康养平台建设路径研究

侯汉坡,位鹤,王颍超,于今,邱贵兴

期刊论文

Heterogeneous length-of-stay modeling of post-acute care residents in the nursing home with competing

期刊论文

Distributionally robust optimization of home energy management system based on receding horizon optimization

Jidong WANG, Boyu CHEN, Peng LI, Yanbo CHE

期刊论文

State identification of home appliance with transient features in residential buildings

期刊论文

Should medium-sized contractors still implement home-made information technologies on construction sites

Conrad BOTON, Éric ST-PIERRE, Gabriel LEFEBVRE

期刊论文

Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

期刊论文

Blockchain-based smart contract for smart payment in construction: A focus on the payment freezing and

期刊论文

A literature review of smart warehouse operations management

期刊论文

基于解耦价值和策略强化学习的家庭能源管理方法

熊珞琳,唐漾,刘臣胜,毛帅,孟科,董朝阳,钱锋

期刊论文

Potential advantages in combining smart and green infrastructure over silo approaches for future cities

Yamuna KALUARACHCHI

期刊论文

Smart contract applications in the built environment: How prepared are Nigerian construction stakeholders

期刊论文

Operations management of smart logistics: A literature review and future research

Bo FENG,Qiwen YE

期刊论文

DSM in an area consisting of residential, commercial and industrial load in smart grid

Balasubramaniyan SARAVANAN

期刊论文