iEnvironment

At present, China’s environmental problems are more serious, on the one hand, environmental pollution threat to people’s health, on the other hand, some areas of bad weather conditions are often caused by natural disasters. But most of the public access to environmental information channels a single, not timely, can not accurately predict the future trend of environmental changes in the period; more importantly, the public exposure to meteorological, environmental and other information for the local authorities based on the region The data of several observatories are released uniformly. Such information is not very accurate for most small areas, and sometimes the deviations are even large.

In order to allow more users to enjoy timely and accurate regional meteorological and environmental information services and forecasts, the team developed a set of Internet as a carrier to the sensor network as a means of Internet technology and environmental information integrated monitoring together of the environmental monitoring information intelligent cloud service platform, tentatively named “iEnvironment ” .

“iEnvironment” platform is committed to creating customized small regional environmental information services. This project is combined with the National 863 Program and 973 Program Sub-project undertaken by WSN Lab of Wuhan University. The project is based on the environment of small-area wireless sensor network time encryption acquisition for small-area inaccurate meteorological and environmental services at this stage And meteorological monitoring data to provide customized meteorological and environmental information services, including but not limited to solar radiation real-time information and forecast information, real-time environmental monitoring information and forecast information, rainfall warning information push. And through the self-developed APP and website, access sensor network monitoring data and use the self-established algorithm model to process the data, realize the accurate service of meteorological environment information of small area, and improve the accuracy of regional meteorological and environmental data monitoring and forecasting , To improve the prediction of temporal resolution and spatial resolution, so as to add new vitality to the industry.

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Lingxiao Zhang
Master of Artificial Intelligence