Intelligent Building System based on Multi-Modal Optimization of Energy Data Center

This study introduces an intelligent building system designed for comprehensive data management, which integrates various subsystems to regulate devices and technologies in buildings. As a fundamental pillar of smart buildings, building mechanization mechanisms improve efficiency, reduce energy consumption, and prioritize human interests. This study specifically focuses on multimodal optimization within energy data centers, employing innovative strategies to improve system efficiency, with special emphasis on energy resource management in data centers. The proposed system integrates ZigBee-based sensor networks, tilt sensors, and temperature sensors for comprehensive architectural security monitoring. A semantic data model based on metadata is applied for improved analysis and representation of multimodal data, contributing to improved clarity and efficiency in data management. The proposed research study also addresses issues related to uninterruptible power supply (UPS) and automatic repair of primary physical connection relationships in building electromechanical systems. The final intelligent building system design includes a hierarchy of integrated platforms with communication interface layers, core control layers, and user interface layers. The effectiveness of the system is demonstrated through a systematic simulation using the METASYS building control system. The experiment shows the successful implementation of Modbus communication for power conversion and distribution systems, highlighting the practical application of the proposed intelligent building system.