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The fault of the new generation of weather radar directly affects the data quality. The generation of abnormal products has a great impact on the shorttime approaching forecast and early warning. It is of certain practical significance to realize the realtime monitoring of radar abnormal products. This system uses the WinForm threelayer architecture and ORM model architecture through statistical texture analysis, grey image feature value analysis and other image processing technology to realize automatic recognition of radar abnormal products. The new generation of weather radar product fault monitoring and warning system can detect abnormal radar products in realtime, efficiently and accurately, and meet the functional requirements of severe convection weather warning and monitoring, weather radar fault warning service prediction, weather radar product availability service, and identify abnormal echoes from the data of a single radar product. It is of great significance for the quality control of weather radar networking products to avoid further influencing the multiradar networking puzzle.