Design and Implementation of an Intelligent Operation and Maintenance Management System for Near-Zero Energy Buildings

Abstract

To address the issue of energy consumption and carbon emissions deviating from expectations due to improper operation and maintenance management in near-zero energy buildings, an intelligent operation and maintenance management system based on a B/S architecture was designed and developed. The system integrates active and passive collaborative management technologies to establish a multi-dimensional energy efficiency assessment system covering operational energy consumption, indoor environment, equipment efficiency, and carbon emissions. Based on real-time assessment data and energy consumption baselines, the system generates energy-saving and carbon-reduction strategies. Incorporating user behavior analysis, a closed-loop "assessment-diagnosis-control" management framework is constructed to significantly reduce carbon emissions during building operation. The system frontend uses Vue.js and Three.js to implement 3D building visualization and device status interaction. The backend, based on the Spring Boot framework, utilizes the WebSocket protocol for real-time data communication, enabling real-time diagnosis of building energy efficiency and energy-saving optimization, providing an effective solution for the refined operation and maintenance of near-zero energy buildings.