Simulation of dynamic heat dissipation energy optimization based on IoT and image recognition in low carbon building VR design process

被引:0
|
作者
Wan, Hailu [1 ]
Huang, Gengqiang [1 ]
机构
[1] Guangxi Technol Coll Machinery & Elect, Nanning 530007, Peoples R China
关键词
Internet of Things; Image recognition; Low carbon buildings; VR design; Dynamic heat dissipation; Energy optimization; AIR-CONDITIONING SYSTEM;
D O I
10.1016/j.tsep.2024.103071
中图分类号
O414.1 [热力学];
学科分类号
摘要
With the global emphasis on low-carbon buildings, how to effectively optimize the thermal management of buildings has become a research hotspot. This article constructs a three-dimensional model of low-carbon buildings and implements real-time heat dissipation detection of buildings through image recognition to evaluate their heat dissipation performance. Then a heat load prediction model was proposed, which obtained the heat load prediction results of buildings under different environmental conditions through data analysis. Thus, it lays the foundation for the subsequent optimization of dynamic heat dissipation energy. The core of the research is to establish a dynamic heat dissipation optimization strategy. This article provides a detailed introduction to the principle of dynamic heat dissipation synergy, combined with the thermal network temperature compensation model and dynamic adjustment model, to achieve the expected energy efficiency improvement. Finally, the construction of a dynamic heat dissipation energy optimization control system based on the Internet of Things has strengthened the collection and analysis of real-time temperature data, and its effectiveness and reliability in practical applications have been verified through system testing.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] A design tool for a parabolic trough collector system for industrial process heat based on dynamic simulation
    Ktistis, Panayiotis
    Agathokleous, Rafaela A.
    Kalogirou, Soteris A.
    RENEWABLE ENERGY, 2022, 183 : 502 - 514
  • [22] Optimization of low-energy building interior design based on machine vision: Environmental thermal energy conduction and layout design
    Hu, Ying
    Wang, Xinmin
    Xu, Zhenli
    Yuan, Lyu
    THERMAL SCIENCE AND ENGINEERING PROGRESS, 2025, 57
  • [23] Application of building thermal energy cycle based on IoT technology in 3D public art design process
    Zhang, Xiaojing
    Xia, Shoujun
    THERMAL SCIENCE AND ENGINEERING PROGRESS, 2025, 58
  • [24] Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model
    Xiao, Yongmao
    Yan, Wei
    Wang, Ruping
    Jiang, Zhigang
    Liu, Ying
    SUSTAINABILITY, 2021, 13 (04) : 1 - 21
  • [25] Optimization of building thermal environment in industrial heritage landscape regeneration design simulation based on image visual visualization
    Gao, Yuan
    Chung, Wonjun
    THERMAL SCIENCE AND ENGINEERING PROGRESS, 2024, 56
  • [26] Co-simulation of dynamic underground heat transfer with building energy modeling based on equivalent slab method
    Kang, Xuyuan
    Yan, Da
    Xie, Xiaona
    An, Jingjing
    Liu, Zhaoru
    ENERGY AND BUILDINGS, 2022, 256
  • [27] Layered Optimization for Low- Carbon Energy Traffic Systems Based on Dynamic Hydrogen Price
    Guo, Hui
    Gong, Dandan
    Zhang, Lijun
    Wang, Fei
    Du, Dajun
    2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022), 2022, : 619 - 624
  • [28] BIM-Based Integrated Design Approach for Low Carbon Green Building Optimization and Sustainable Construction
    Gan, Vincent J. L.
    Lo, Irene M. C.
    Tse, K. T.
    Wong, C. L.
    Cheng, Jack C. P.
    Chan, C. M.
    COMPUTING IN CIVIL ENGINEERING 2019: VISUALIZATION, INFORMATION MODELING, AND SIMULATION, 2019, : 417 - 424
  • [29] Thermal radiation imaging based on IoT recognition technology for basketball training trajectory simulation: Dynamic monitoring of thermal energy consumption
    Shan, Feihong
    You, Tianshu
    THERMAL SCIENCE AND ENGINEERING PROGRESS, 2025, 59
  • [30] Optimization and Simulation of a Dynamic Management System for Building Construction Based on Low-Power Wireless Sensor Networks
    Qi, Ning
    JOURNAL OF SENSORS, 2022, 2022