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Modernizing meteorology is a long-term comprehensive work and a dynamic development process. In order to continuously, objectively evaluate the development level of meteorological modernization capability in real-time, relying on the framework of the meteorological integrated real-time monitoring system, and based on Okhttp and Jexl3 technology, which features synchronous efficient request, high stability communication mechanism and custom rule engine, a dynamic evaluation method of modern information network capability for multi-source meteorological monitoring big data is proposed. Rely on our self-designed the developed intelligent algorithm framework for data statistics, mining, and comparative analysis, this method can efficiently collect real-time monitoring data and metrics of national and provincial meteorological services and solve the problems of unscientific artificial statistical evaluation methods, inconsistent evaluation standards, delayed evaluation and distortion of evaluation results in the past. Since 2021, this method has been applied to realize the automatic collection and real-time evaluation of the meteorological modernization information network capability metrics from the national and provincial levels. It shortens the acquisition time to the second level, which provides an operation-datamation solution for the high-quality development of the meteorological information network.