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Innovative design and R & D application of smart communities based on collaborative H-CPS
Human-based collaborative smart community design realizes intelligent ecological management and green life.
Type
Design system
Tags
Other resource gains
Information & systems
Smart community
Interactively developed
Human-information-physical system
Collaboratively create
Digital collaborative creative platform
Solution maturity
Mass promotion / Mass production
Cooperation methods
Face-to-face consultation
Applicable industry
Culture, sports and entertainment
Applications
Smart community
Key innovations
The project is people-oriented, introduces the H-CPS collaborative ecological architecture, innovates digital collaborative platforms and AI vision technology, and achieves internationally advanced and all-round development of smart communities.
Potential economic benefits
This green technology product has generated more than 1 billion yuan in new output value in cooperation projects and has huge economic benefit potential in the smart community, real estate and Internet fields in the future.
Potential climate benefits
Through the "Smart Ecology" and "Smart Life" modules, this smart community project can optimize energy, water resources and waste management, greatly improve community operating efficiency, and directly reduce energy consumption and resource waste. Its collaborative design platform reduces travel needs and reduces transportation carbon emissions.
Solution supplier
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Tongji University
Tongji University
Tongji University: The national "double first-class" construction university uses advantageous disciplines such as civil engineering, architecture, transportation, and environment to cultivate innovative talents to serve national construction and sustainable urban development.
Shanghai,China
Solution details

This project belongs to the innovative design field of smart communities, involving the collaborative ecological architecture, technology layering system, innovative application system and intelligent design methods of smart communities. In the past 20 years, innovative research in smart cities and other fields has made great progress in theory, technology, methods, tools, etc., but relevant research related to or from the perspective of ldquo; people-rdquo; is still lacking and weak. This project introduces ldquo; interactive design thinking rdquo; into the design and R & D application field of smart communities, and proposes a smart community ecosystem construction model based on collaborative H-CPS (Human- Cyber Physical Systems, H-CPS/People-Oriented Information Physics System), and examines the construction of smart communities within the framework of ldquo; human-made world-cyberworld-nature rdquo; interaction. The project produced the following innovative results: (1) People-oriented, proposed& ldquo; creation-based collaborative design innovation process& rdquo; and& ldquo; global virtualization based computer collaborative work architecture& rdquo;, and integrated multimedia communication technology to develop an internationally advanced digital collaborative creative platform, realizing real-time, off-site, and all-digital interactive development and collaborative creation among different groups of people in the smart community;(2) Based on& ldquo; human-computer interaction& rdquo; As the core, it proposes for the first time an innovative architecture hierarchical system for smart communities based on NHCA-S, expanding the perspective to Nature, Human, Cyber, and Artifact in the Internet of Things (IoT). Interconnection of creation;(3) Propose a three-dimensional innovative application system for smart communities based on collaborative H-CPS, which well constructs the organic integration and data analysis of smart communities in the five modules of smart security, smart classroom, smart ecology, smart health, and smart life. The model framework has formed a new form of community management services based on informatization, intelligence and returning to nature. (4) A deep generation model based on adversarial network and small sample learning technology are proposed to implement an intelligent visual communication design system in a small number of training samples environment. The system integrates multi-disciplinary and cross-cutting technologies such as artificial intelligence, data visualization, and interactive design. Starting from derivative products, it strives to create a path between science and technology and humanities, which effectively promotes the all-round development of smart communities. This project conducts independent research and development based on the needs of collaborative design in domestic smart communities. It has been authorized to have 7 invention patents, 7 computer software copyrights, and has published more than 20 professional technical papers in core journals at home and abroad (19 of which have been included in SCI and EI)., level search and subject acceptance believe that the overall level has reached the international advanced level. Many results of this project have been applied to Tongji University Architectural Design and Research Institute (Group) Co., Ltd., Tezan (Shanghai) Information Technology Co., Ltd., Shenzhen Architectural Science Research Institute Co., Ltd., Longhu Real Estate, Country Garden, Ali, Tencent, Unilever and other cooperative projects, nine projects including smart community real estate projects and intelligent design and development of Internet companies have brought more than 1 billion yuan in new output value while producing good social benefits. In terms of talent training, 3 doctoral students and 13 master's students have been trained. Lou Yongqi won the 2015 Guanghua Longteng Award China Design Contribution Award Gold Medal. In 2015, he was selected into the first ldquo; Yangtze River Scholars Award Program rdquo; Young Scholar, Liu Fuqiang was selected as an outstanding academic leader in Shanghai City in 2007, Cao Nan was selected as a national thousand young people in 2016, and Wang Chao was selected as a Shanghai City Pujiang talent in 2014.

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11:33:35, Nov 04, 2025
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