Abnormal Data Region Discrimination and Cross-Monitoring Points Historical Correlation Repair of Water Intake Data.For the problems of abnormal values existing in the water intake monitoring data and centralized uploaded report, the abnormal data region discrimination (ADRD) algorithm and the cross-monitoring points historical correlation repair (CMHCR) method are proposed to discriminate and repair the abnormal data.  The characteristics of abnormal data distribution are analyzed, and the ADRD algorithm is proposed.  ADRD uses the relationship between 0 values and the abnormal large value, and the ratio of the abnormal large value to the expectation to distinguish the abnormal data region.  Experiments based on actual half year water intake data of 2016 and 2017 are performed by using ADRD. 
ADRD
Abnormal Data Region Discrimination and Cross-Monitoring Points Historical Correlation Repair of Water Intake Data.For the problems of abnormal values existing in the water intake monitoring data and centralized uploaded report, the abnormal data region discrimination (ADRD) algorithm and the cross-monitoring points historical correlation repair (CMHCR) method are proposed to discriminate and repair the abnormal data.  Therefore, the CMHCR method is proposed to repair abnormal data. 
CMHCR