新装置破解“云中雨”监测和“落地雨”预测难题

Core Viewpoint - The Beidou Navigation team at Hefei University of Technology has successfully developed a Beidou satellite-based water vapor inversion device for rainfall prediction, integrating artificial intelligence to address challenges in monitoring "cloud rain" and predicting "ground rain" [1][2] Group 1: Technology Innovations - The device incorporates three key technological innovations: 1. A method for detecting and suppressing interference in Beidou signals based on mixed time-frequency distribution, which addresses the issue of signal interference in complex electromagnetic environments [1] 2. An improved synchronous perturbation random approximation method for solving atmospheric parameters, achieving a 65% increase in the accuracy of precipitable water vapor (PWV) inversion [1] 3. A dual-stage attention mixed learning model for multivariable time series prediction, achieving a precision forecast rate of 87.6% and a minimum false alarm rate of 8.5% for short-term severe convective rainfall warnings [1] Group 2: Applications and Future Plans - The rainfall prediction technology effectively resolves issues in water conservancy disaster prevention, renewable energy power forecasting, and low-altitude economic air traffic scheduling [2] - The team plans to continue advancing technology iterations and accelerate market deployment, aiming for comprehensive coverage across domestic provinces and ultimately creating an integrated monitoring system that enhances the application of "Beidou + AI" technology for national economic development [2]