Research on Rainfall Calibration Fault Diagnosis and Early Warning Auxiliary System Based on Artificial Intelligence Technology
A rainfall calibration fault diagnosis and early warning auxiliary system based on artificial intelligence technology,which obtains equipment measurement data through meteorological observation data"cloud"for preprocessing,uses various data-driven and artificial intelligence algorithms,uses deep learning and neural networks to analyze the collected data,trains and learns data samples,diagnoses equipment faults,and makes early warning judgments on the risks of equipment existence.Using neural networks to analyze equipment faults,the system uses big data as the core and intelligent algorithms as the underlying logical mode to analyze and push solutions.This effectively improves the efficiency of outdoor measurement work and has good pioneering significance for multi-source data analysis and diagnosis of high-precision sensor verification and calibration in meteorological automatic stations.
artificial intelligencerainfall calibrationfault diagnosisearly warning aid
NETL
NSTL
万方数据
