Short-term weather subjective analysis system for mobile terminals

Abstract

The invention provides a short-term weather subjective analysis system for mobile terminals, comprising a data server side and a mobile client side. The data server side comprises a live data receiving and monitoring module which is in communication connection with a data server, a weather radar data conversion module which is used to convert the data format of radar base data from polar coordinates into plane rectangular coordinates, an encrypted automatic meteorological station data test module which is used to test the quality of meteorological elements, a data packing and compressing module which is used to merge, pack and compress all kinds of meteorological data, and a data service module which adopts a UDP protocol to push a data file generated through the above steps to mobile terminals and is used to provide access-controllable external data pushing service. The mobile client side comprises a data access module, a data processing module, a graph drawing module, and a user interaction module. The beneficial effect is that the system can provide interactive and visual weather condition monitoring and subjective weather analysis and forecasting functions and applications for professional outdoor operation personnel through convenient mobile devices, and is especially applicable to environments or regions with poor wireless Internet access ability and low Internet speed.

Description

technical field [0001] The invention belongs to the field of atmospheric science and meteorological professional services, in particular to a mobile terminal-oriented subjective analysis system for near weather. Background technique [0002] As a service for the public, weather forecast has long been known to people. In the past ten years, with the increase in hardware investment and the improvement of meteorological observation technology, means and methods, the public can easily know the weather forecast for the next 7 days or even 15 days. medium and long-term forecast. At the same time, the accuracy of the forecast has also been significantly improved. However, for users in some special industries, they pay more attention to the upcoming local weather phenomena. For example, users who carry out operation and maintenance of offshore wind turbines need to accurately grasp the weather conditions in the next 0-2 hours, such as strong winds and waves will affect the safety ...

AI Technical Summary

Problems solved by technology

Obviously, weather forecasts for the public cannot meet the stringent requirements of such industry users for refined weather forecasts, and thus require more detailed, local professional weather services customized according to the needs of industry users

In addition, due to geographical constraints, such as in offshore or plateau areas, wireless network access capabilities are poor, and in many cases only GPRS can be used for mobile data transmission

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