With the development of meteorological services,
there are more and more types of real-time observation data, and the timeliness
requirements are getting higher and higher. The monitoring methods of existing
meteorological observation data transmission can no longer meet the needs. This
paper proposes a new monitoring model, namely the “integrated monitoring model”
for provincial meteorological observation data transmission. The model can
complete the whole network monitoring of meteorological observation data
transmission process. Based on this model, the integrated monitoring system for meteorological observation data transmission in
Guangdong Province is developed. The system uses Java as the programming
language, and integrates J2EE, Hibernate, Quartz, Snmp4j and Slf4j frameworks,
and uses Oracle database as the data storage carrier, following the MVC
specification and agile development concept. The system development uses four
key technologies, including simple network management protocol,
network connectivity detection technology, remote host management technology
and thread pool technology. The integrated monitoring system has been put into
business application. As a highlight of Guangdong’s meteorological
modernization, it has played an active role in many major meteorological
services.
References
[1]
Chen, X., Wei, M., & Sun, J. (2017). Workflow-Based Platform Design and Implementation for Numerical Weather Prediction Models and Meteorological Data Service. Atmospheric and Climate Sciences, 7, 337-351. https://doi.org/10.4236/acs.2017.73025
[2]
Datta, B., Durand, F., Laforge, S., Prakash, O., Esfahani, H., Chadalavada, S., & Naidu, R. (2016). Preliminary Hydrogeologic Modeling and Optimal Monitoring Network Design for a Contaminated Abandoned Mine Site Area: Application of Developed Monitoring Network Design Software. Journal of Water Resource and Protection, 8, 46-64. https://doi.org/10.4236/jwarp.2016.81005
[3]
Hua, L., Wang, J., Jin, S. et al. (2015). Design and Implementation of Intelligent Voice Notification System Based on IMS for Meteorological Information Transmission. Meteorological Technology, 43, 1040-1045.
[4]
Jia, X., Luo, Y., Lao, S. et al. (2013). Design and Implementation of Meteorological Information Transmission Monitoring Service System for Grassroots Stations. Meteorological Technology, 41, 1049-1052.
[5]
Li, Z., Hu, J., Yang, L. et al. (2016). Design and Implementation of Quarantine Monitoring System for Meteorological Data Processing Based on CIMISS. Meteorology and Disaster Reduction Research, 39, 309-313.
[6]
Liang, W., & Liu, J. (2014). Design and Implementation of Meteorological Information Transmission Monitoring BS System. Agricultural Science Research, 2, 94-96.
[7]
Lin, L., Shao, B., Zhang, H., & Li, X. (2018). Research on Meteorological Information Transmission Mechanism in the Age of All Media. Journal of Geoscience and Environment Protection, 6, 60-65. https://doi.org/10.4236/gep.2018.68006
[8]
Lin, M., Zhao, X., Fan, C., Xie, L., Wei, L., & Guo, P. (2017). Polarimetric Meteorological Satellite Data Processing Software Classification Based on Principal Component Analysis and Improved K-Means Algorithm. Journal of Geoscience and Environment Protection, 5, 39-48. https://doi.org/10.4236/gep.2017.57005
[9]
Sun, Z., Xiao, W., Song Y. et al. (2012). Improved Design and Implementation of Real-Time Monitoring System for Meteorological Information. Journal of Chengdu University of Information Technology, 27, 168-173.
[10]
Xiao, W., Wei, W., & Yang, G. (2009). Preliminary Analysis of Business Process Optimization of Meteorological Information Transmission. Journal of Applied Meteorology, 20, 497-503.
[11]
Zhang, F., Wu, P., Huo, R. et al. (2009). Design and Implementation of Integrated Monitoring System for Meteorological Information Network Based on CS Structure. Meteorological and Environmental Sciences, 32, 279-282.
[12]
Zhong, Y., Guo, H., Xia, Z. et al. (2015). Development of Mobile Weather Information Transmission Monitoring Software Based on Android. Meteorological Science, 43, 1065-1069.