Sage Journals: Discover world-class research

Abstract

China’s relentless urbanization has significantly propelled the construction sector forward, simultaneously unlocking vast potential and posing complex challenges for the development of intelligent building systems. This paper introduces an architecture for an intelligent building integration platform that hinges on the connectivity between server and client. The server sends the collected data to the system, while the client displays, monitors, and manages the data. The whole intelligent building management system includes business system management module, authorization management module, client module, and data linkage module. The client module visually displays the data in the building through charts and other means. The data linkage module uses sensors, devices, and communication technologies to collect various environmental parameters in the building and equipment operating status and other information, and sends the information to the data center or the cloud for subsequent processing. In the monitoring of energy consumption information, the electricity consumption of Building C was 181 KWH; the water consumption was 98 tons, and the gas consumption was 75 cubic meters. This research significantly advances the field of intelligent building management by demonstrating how computer technology can be effectively utilized to monitor building energy consumption. The findings of this paper provide crucial theoretical and technical support for the ongoing development and refinement of intelligent building systems. This not only enhances our understanding of smart infrastructure but also opens up new avenues for innovation in building management and energy efficiency.

Keywords

computer technology intelligent building monitoring intelligent building management data linkage module system design

Get full access to this article

View all access options for this article.

References

Lan

Hong

Wang

, et al. Design of a large passenger flow safety management system based on dynamic building information. Build Technol 2021; 52(5): 636–640.

Wei

Feng

, et al. Research on visualization of prefabricated buildings based on bibliometrics. Technol Market 2021; 28(11):29–33.

Yang

Chen

, et al. Research on key technologies of automated collection of building deformation monitoring information and integrated management system. Beijing Surveying and Mapping 2022; 36(12):1654–1659.

Song

. Research on the operation and maintenance of monitoring equipment for energy consumption management system of public buildings in Shenzhen. Construction Technol 2021; 2(10): 76–79.

Chinnathambi

Samuel

Tamilarasu

, et al. Internet of things-based smart residential building energy management system for a grid-connected solar photovoltaic-powered DC residential building. Int J Energy Res 2022; 46(2): 1497–1517.

Bonci

Carbonari

Cucchiarelli

, et al. A cyber-physical system approach for building efficiency monitoring. Autom ConStruct 2019; 102: 68–85.

Edirisinghe

Woo

. BIM-based performance monitoring for smart building management. Farmaco 2021; 39(1/2): 19–35.

Bisadi

Akrami

Teimourzadeh

, et al. IoT-enabled humans in the loop for energy management systems: promoting building occupants’ participation in optimizing energy consumption. IEEE Electrific Mag 2018; 6(2): 64–72.

Ghaffarianhoseini

Alwaer

Omrany

, et al.

Sick building syndrome: are we doing enough?

Archit Sci Rev 2018; 61(3): 99–121.

10.

Mocanu

Nguyen

, et al. On-line building energy optimization using deep reinforcement learning. IEEE Trans Smart Grid 2018; 10(4): 3698–3708.

11.

. A brief analysis of the theory of building automation system in intelligent buildings. Smart Build Smart Cities 2018; 3(1): 42–43.

12.

Ren

Tang

. Building materials management system based on RFID technology. Int J RF Technol Res Appl 2018; 9(1-2): 63–74.

13.

Chen

Yang

Zhao

, et al. A graphical programming language and its supporting tool for insect intelligent building. Sci Program 2020; 1(2020): 1–18.

14.

Antoniadis

Martinopoulos

. Optimization of a building integrated solar thermal system with seasonal storage using TRNSYS. Renew Energy 2018; 137: 56–66.

15.

Zhou

Wang

Sun

, et al. Heating energy saving potential from building envelope design and operation optimization in residential buildings: a case study in northern China. J Clean Prod 2018; 174: 413–423.

16.

Zhao

. Research on energy saving design of intelligent building based on genetic algorithm. Wirel Pers Commun 2018; 102(3): 1–9.

Intelligent buildings monitoring and management system based on computer technology

Abstract

Keywords

Get full access to this article

References