The application of smart health monitoring systems in the design of large public buildings in the UK is currently a hot topic in the field of architecture. Smart buildings are based on information and knowledge as the core resources, new generation information technology as the core support means, ubiquitous high-speed optical fibers as the foundation, extensive information acquisition, thorough perception of the environment, and scientific and effective information processing. This system utilizes advanced technology to collect and analyze internal environmental data of buildings, achieving real-time monitoring of parameters such as air quality, temperature, and humidity inside the building, providing a healthy and comfortable working and living environment for internal personnel. The system includes a data collection subsystem, a data analysis subsystem, and an evaluation analysis system. Practice has proven that the system can combine artificial intelligence technology to achieve more intelligent analysis and prediction of internal environmental data in buildings, providing more accurate decision-making support for building managers.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Research on the Design of Large Public Buildings in the UK Based on Smart Health Monitoring Systems

  • Junzhu Wu,
  • Lieke Lv

摘要

The application of smart health monitoring systems in the design of large public buildings in the UK is currently a hot topic in the field of architecture. Smart buildings are based on information and knowledge as the core resources, new generation information technology as the core support means, ubiquitous high-speed optical fibers as the foundation, extensive information acquisition, thorough perception of the environment, and scientific and effective information processing. This system utilizes advanced technology to collect and analyze internal environmental data of buildings, achieving real-time monitoring of parameters such as air quality, temperature, and humidity inside the building, providing a healthy and comfortable working and living environment for internal personnel. The system includes a data collection subsystem, a data analysis subsystem, and an evaluation analysis system. Practice has proven that the system can combine artificial intelligence technology to achieve more intelligent analysis and prediction of internal environmental data in buildings, providing more accurate decision-making support for building managers.