Intelligent buildings monitoring and management system based on computer technology

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.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-03-27
DOI
https://doi.org/10.1177/14727978251322043
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent buildings monitoring and management system based on computer technology

Jia Li
Journal of Computational Methods in Sciences and Engineering
Wireless Sensor Networks and IoT
article

Intelligent buildings monitoring and management system based on computer technology

Jia Li
article en

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.

Journal of Computational Methods in Sciences and EngineeringVol. 25(3)
Anyang Normal University (CN)
Openalex Percentile: Top 94%
Wireless Sensor Networks and IoT
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