Design and Implementation of an Energy Consumption Data Management System based on B/S Architecture

With the rapid development of China's economic society, the proportion of building energy consumption has continued to rise. Public buildings hold enormous energy-saving potential, yet existing monitoring systems suffer from issues such as single-functionality and insufficient data integration. This study designs and implements a building energy consumption data management system based on the B/S architecture, adopting a hierarchical framework comprising the perception layer, transmission layer, data layer, and application layer. The system uses intelligent meters to collect real-time multi-type energy consumption data (electricity, water, gas, etc.), employs frameworks like Hadoop and Spark for data cleaning and analysis, and constructs a visual interactive platform based on the Spring Boot+Vue.js technology stack. Integrating core functions such as data collection and verification, multi-dimensional statistical analysis, intelligent early warning, and operation and maintenance work order management, the system achieves all-weather online monitoring and refined management of building energy consumption. This study holds important practical significance for promoting the green and low-carbon transformation of the construction sector.