Abstract:

With the rapid development of intelligent buildings and the continuous improvement of management requirements, the requirements of realtime information management and rationality of the storage mode design in monitoring system are increased simultaneously. Aiming at the features of the central airconditioning data management system with a large number of detecting points, large capacity of storage, variety in subsystems and management complexity in intelligent buildings, the data acquisition platform is constructed and the low redundant data storage and query optimization strategy are designed based on OPC XML technology and the relational data model combined with XML database. The experimental and practical results show that the strategy can be used for information management and optimal storage in central airconditioning monitoring systems, and improve the level and the efficiency of management to some extent.

Key words: storage optimization;central air-conditioning;monitoring system;XML database