Water turbine rotating wheel abrasion big data analysis system

Abstract

The invention relates to a water turbine rotating wheel abrasion big data analysis system which comprises a first module, a second module and a starting module. The output end of the first module is electrically connected with a unit hydraulic input module. The output end of the unit hydraulic input module is electrically connected with a unit hydraulic and rated hydraulic computing module. The water turbine rotating wheel abrasion big data analysis system has the advantages that by arranging a first module, a second module and a curve generating time module and electrically connecting the first module and the second module in parallel, through the common effect of the first module, the second module and other modules, the force output conditions of a water turbine can be tracked for a long time, the variation tendency of a rotating wheel force output curve is drawn and the efficiency loss is calculated after various interference factors are eliminated, and therefore the abrasion degree of the rotating wheel can be precisely positioned, the efficiency loss variation is reflected in real time, the rotating wheel is analyzed form peripheral data expression and not related to the rotating wheel type and water flow model, and the analysis accuracy is ensured.

Description

technical field [0001] The invention relates to the technical field of water turbine runner wear analysis, in particular to a big data analysis system for water turbine runner wear. Background technique [0002] As the most important working part of the whole hydro-generator set, the runner of the hydro-turbine will inevitably be damaged by abrasion (abrasion and cavitation) when working for a long time in the sandy water flow, and the abrasion problem of the hydro-turbine is still a worldwide problem so far. The problem is that any well-designed water turbine made of excellent anti-abrasive materials will inevitably experience abrasion due to changes in the operating environment in actual operation. Abrasion reduces the hydraulic efficiency of the turbine, the output is insufficient, the maintenance workload is increased, and the maintenance time is prolonged. Long-term operation will seriously threaten the safe operation of the unit and reduce the profit index of the power...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a large data analysis system for hydraulic turbine runner wear, so as to solve the existing method for judging hydraulic turbine runner abrasion in the above background technology, which includes indirect observation method and calculation prediction method, and the indirect observation method mainly uses The vibration method detects the vibration of the entire unit. The abrasion of the runner of the turbine is only one of the causes of abnormal vibration. The misjudgment rate is relatively high, and it is impossible to judge the degree of abrasion of the runner. Does the runner need to be replaced or repaired? In addition to wasting manpower, it will also waste a lot of water resources and cause economic losses. However, it is impossible to realize automatic detection through sound observation by professionals with rich operating experience. It is a slow changing process. After a long time, people will have hearing fatigue and cannot make accurate judgments, and the method of calculation and prediction is quite complicated because the water flow actually flowing through the turbine, and the water flow often contains some indeterminate impurities. Mineral particles such as gravel and quartz sand, the ideal calculation model will have a large deviation, which will eventually affect the judgment result

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