Remote monitoring, diagnosis and prediction and intelligent maintenance control system for hydraulic turbine

Abstract

The invention discloses a remote monitoring, diagnosis and prediction and intelligent maintenance control system for a hydraulic turbine. The remote monitoring, diagnosis and prediction and intelligent maintenance control system for the hydraulic turbine comprises a remote monitoring system, an online diagnosis and prediction system and an intelligent maintenance control system. The system can realize accurate fault positioning, can carry out on-line monitoring and intelligent control under variable operating conditions for equipment, and can improve the operating efficiency. The remote monitoring, diagnosis and prediction and intelligent maintenance control system for the hydraulic turbine can realize the systematic operation and maintenance from the part to the whole. The online diagnosis and prediction system can carry out on-line diagnostic analysis and intelligent prediction for the equipment, which can effectively avoid excessive maintenance or insufficient maintenance. Moreover,the system can predict the development trend of the operating state of a unit and can effectively reduce the downtime maintenance probability of the unit.

Description

technical field [0001] The invention specifically relates to a water turbine remote monitoring, diagnosis and prediction, and intelligent maintenance and control system. Background technique [0002] There are accuracy problems in the diagnosis of hydraulic turbine failure modes. The hydraulic turbine unit is a complex coupled nonlinear dynamic system, and its faults are affected by the coupling of various factors such as water, machinery, and electricity, resulting in complex and changeable working conditions during operation. There are certain limitations in the system for predicting and diagnosing the operating status and deterioration trend in time. [0003] At present, there is still a lack of intelligent control for equipment failures and hidden dangers of hydraulic turbine units. In the face of failures, most power plants still adopt the method of "planned maintenance". With the outage of equipment, the operation and operation mode of equipment are changed frequentl...

AI Technical Summary

Problems solved by technology

However, there are still problems in the long-distance transmission of multi-source heterogeneous massive data and the standardization and unification of data fusion in the entire hydraulic turbine control system, which makes it impossible to accurately identify the failure mode and location of the unit. There are still limitations

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