Real-time abnormity-diagnosing and interpolation method for water regime-monitoring data

US12158341B2 · kind B2 · utility

Assignees

• CHINA THREE GORGES CORPORATION · CN
• China Institute of Water Resources and Hydropower Research · CN

Inventors

• Hao Wang · 安丰镇, CN
• Xiaohui Lei · Beijing, CN
• Huichao DAI · Beijing, CN
• Zhao Zhang · Beijing, CN
• Chao Wang · Nanjing, CN
• Heng Yang · Fishkill, US
• Yongnan ZHU · Beijing, CN
• Zhaohui Yang · Beijing, CN

Key dates

• Filing date: Mar 10, 2021
• Grant date: Dec 3, 2024
• Expiry date: Jul 17, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/084
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A real-time abnormity-diagnosing and interpolation method for water regime-monitoring data relates to the technical field of monitoring water regime. This method includes the following steps: acquiring water regime-monitoring data, drawing a box plot, recognizing and diagnosing abnormal data in real time based on the box plot, performing grey correlation analysis on other variables related to a predictor variable, building a BP neural network model and making training, applying the BP neural network model to predict water regime-monitoring data in real time, and performing abnormity diagnosis and data interpolation. Adopting this method, we can effectively enhance predicting and monitoring the water regime-monitoring data in real time, and diagnose abnormal data and make interpolations in time, thereby improving the reliability of data, objectively reflecting water regime changes, and effectively guiding engineering scheduling.