Design and Implementation of Data Service Middleware in Earthquake Precursor Instrument Platform
DOI:
https://doi.org/10.54097/jceim.v10i3.8673Keywords:
Earthquake precursors, Data service middleware system, Data monitoringAbstract
With the gradual development of the earthquake signal early warning system, more and more earthquake precursor signal observation instruments and equipment have been added to the earthquake signal early warning system, which has also caused various compatibility issues. This article designs a data service middleware solution based on B/S architecture for the interaction between earthquake precursor signal observation equipment and remote access terminals on the earthquake precursor instrument platform. Combining embedded technology, it achieves compatible and universal deployment of heterogeneous terminals, and achieves the ideal function of data service middleware. At the same time, in the data service middleware system, real-time data access, presentation, and log upload and download of earthquake precursor instruments are implemented, as well as remote editing of basic information such as instrument IP addresses and station positions, as well as instrument status monitoring and other functions.
References
Ma N. Direct economic loss assessment model of earthquake based on machine learning algorithm [D]. Institute of Engineering Mechanics, China Earthquake Administration, 2020.
Li Yishi. Questions and Answers on basic knowledge of earthquake prevention and disaster Reduction [J]. Disaster Prevention Expo, 2013(06):30-35.
Adam Wolfgang,Foitzik Volker,Siering Till Christian. CORBA im Steuerungsbau [J]. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 2022,93(9).
Bao Liqun, Li Fangfang. Indoor Air Quality remote monitoring System based on Embedded Web [J]. Automation & Instrument,2019, (05):10-14.
Ren Tian. Design and Implementation of CAT Monitoring System Server [D]. Nanjing University, 2018..
WANG Chao. Research and Application of Protocol Conversion Gateway Based on Embedded Middleware [D]. Northern University for Nationalities,2017.
Zhou Zhenggui. Node Injection Control Logic Design for Intelligent Home System Based on Wireless Sensor Network[J]. Journal of Sensors,2022,2022.