A classification data processing method for large-scale real-time rainfall automatic observation stations based on dynamic interpolation
A rainfall data and data processing technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as unformed, achieve a high degree of refinement, improve real-time processing efficiency, and reduce calculations Effect
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[0038] Combine below figure 1 , the present invention is further described:
[0039] The technical solution adopted in this embodiment is to excavate the abnormal values in the national automatic observation stations, and use the "static weight + dynamic interpolation" method to improve the interpolation efficiency and interpolation effect for the rainfall values at the abnormal station locations. Follow the steps below to implement:
[0040] (1) Real-time receiving and processing of reported data from national automatic observation stations: According to the precipitation coding format defined in the "Hydrological Monitoring Data Communication Protocol", analyze the station address, sending time, precipitation, rainfall duration, and cumulative precipitation Value, observation time, power supply voltage and other information, and save to the database.
[0041] (2) Judgment of abnormal value: Realize the judgment of abnormal value through Oracle trigger.
[0042] First,...
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