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Academic Journal of Environment & Earth Science, 2022, 4(8); doi: 10.25236/AJEE.2022.040808.

Deploy on extranet based on CAWS Anywhere Server Volunteer meteorological observation station


Huang Yanbo1,2, Pang Mingwen1

Corresponding Author:
Huang Yanbo

1Beihai Meteorological Bureau, Guangxi, China

2Beihai National Climate Observatory Open Laboratory, Guangxi, China


The CAWSAnyWhere Server2013 unified data collection platform for regional automatic stations can be compatible with various types of automatic weather station equipment from various manufacturers, and is suitable for the central station operation management software of voluntary meteorological observation stations.CAWSAnyWhere Server2013 is used to deploy voluntary meteorological observation stations on the Internet to realize unified data receiving and processing of automatic weather stations.Users of all industries can obtain and query real-time and historical observation data more easily by installing and applying the application software of the central station.The installation, setting and commissioning of the central station and the application software of CAWSAnyWhere Server2013 require the close cooperation of technical personnel of meteorological equipment support, network management and manufacturers.Through the analysis of examples, it is proposed that the technical key points of CAWSAnyWhere Server2013 deployment of voluntary meteorological observation stations on the Internet include: DTU debugging of collector, software configuration and debugging of central station, database environment configuration, network environment configuration, application terminal software development and application, etc.


Volunteer meteorological observation station, CAWSAnyWhere Server, Automatic weather station, Observation data

Cite This Paper

Huang Yanbo, Pang Mingwen. Deploy on extranet based on CAWS Anywhere Server Volunteer meteorological observation station. Academic Journal of Environment & Earth Science (2022) Vol. 4 Issue 8: 41-47. https://doi.org/10.25236/AJEE.2022.040808.


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