Abstract
With the rapid development of intelligent buildings and the continuous improvement of management requirements, demand for real-time information management and rationality of the storage strategy design in a central air conditioning system are increased simultaneously. Aiming at the characteristics of the central air conditioning data management system with large numbers of detecting points, large capacity of storage, variety in subsystems, and management complexity in intelligent buildings, the data acquisition module was constructed and the data management system was designed and implemented in the research based on OPC remote access server technology and the zero configuration and high efficiency of SQLite database. The experimental and practical results show that the designed system can be used for data acquisition and information management in central air conditioning monitoring systems and improve the level and efficiency of management to a certain degree.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Perumal, T., Ramli, A.R., Leong, C.Y., Samsudin, K., Mansor, S.: Middleware for heterogeneous subsystems interoperability in intelligent buildings. Autom. Constr. 19, 160–168 (2010)
Yang, T., Clements-Croome, D., Marson, M.: Building energy management systems. In: Encyclopedia of Sustainable Technologies, pp. 291–309 (2017)
Hoffmann, M., Büscher, C., Meisen, T., Jeschke, S.: Continuous integration of field level production data into top-level information systems using the OPC interface standard. Procedia CIRP 41, 496–501 (2016)
Mehta, B.R., Reddy, Y.J.: Industrial Process Automation Systems: Design and Implementation, pp. 459–477 (2015)
Liu, T.D., Cai, G.G., Peng, X.F.: OPC server software design in DSC. In: Proceeding of 2009 4th International Conference on Computer Science & Education, vol. 4, pp. 456–458 (2009)
Cavalieri, S., Stefano, D.D., Salafia, M.G., Scroppo, M.S.: Integrating OPC UA with web technologies to enhance interoperability. In: Computer Standards and Interfaces, pp. 1206–1211 (2017)
Yin, Y., Zhou, B.: The analysis and research of OPC XML-DA server. Energy Procedia 16(2), 1535–1540 (2010)
Nemetz, S., Schmitt, S., Freiling, F.: A standardized corpus for SQLite database forensics. Digit. Investig. 24, 121–130 (2018)
Wang, W., Zhang, X., Li, Y., Li, Y.: Open CNC machine tool’s state data acquisition and application based on OPC specification. Procedia CIRP 56, 384–388 (2016)
Acknowledgements
This work was supported by the Shaanxi Provincial Natural Science Foundation for Young Scientist (NO. 2017JQ5075), the Ministry of Housing and Urban-Rural Development of China (NO. 2016-K1-013), the 13th Five-Year Plan Project of Education Science in Shanxi Province (SGH18H111) the Basic Research Foundation (No. JC1516), and the Youth Scientist Foundation of Xi’an University of Architecture & Technology (No. RC1515).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Bai, Y., Liu, Z., Ren, Q. (2019). Application of Information Network and Control Network Integration Technology in Central Air Conditioning Data Management System. In: Fang, Q., Zhu, Q., Qiao, F. (eds) Advancements in Smart City and Intelligent Building. ICSCIB 2018. Advances in Intelligent Systems and Computing, vol 890 . Springer, Singapore. https://doi.org/10.1007/978-981-13-6733-5_22
Download citation
DOI: https://doi.org/10.1007/978-981-13-6733-5_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6732-8
Online ISBN: 978-981-13-6733-5
eBook Packages: EngineeringEngineering (R0)