Intelligent pump storage machine set fault analysis method and system thereof

Abstract

The invention provides an intelligent pump storage machine set fault analysis method, comprising the following steps of: acquiring and storing state information of a machine set, wherein the state information comprises multiple state, function and maintenance parameters when the machine set is in operation; comparing and identifying the state information to identify and match a fault state until the state information of the fault state is identified; building a state analog information graph used for displaying the state information according to state information, wherein various parameters in the analog information graph are corresponding to the state information acquired in real time, and the analog information graph is also used for displaying the state information which shows that the machine set is in fault; and identifying a fault cause according to the state information which shows that the machine set is in fault. The intelligent pump storage machine set fault analysis method and system disclosed by the invention are integrated into a monitoring system, no new equipment is required, production efficiency and cost are greatly improved, and fault problems which are met in operation and maintenance work of a pump storage machine set and can not be effectively monitored in the prior art, such as an electrical fault, a mechanical fault, abnormal halt and an operation trouble, can be well solved.

Description

technical field [0001] The invention belongs to the technical field of computer intelligent analysis, and in particular relates to a fault intelligent analysis method and system of a pumped storage unit. Background technique [0002] At present, many manufacturers and research institutions at home and abroad are involved in the research and development of intelligent fault analysis systems, but they are all in the research stage, and only a small amount of tests have been done in conventional hydropower plants. The effect is average and there is no large-scale promotion. The power plant has not carried out the test, comprehensive analysis of such systems developed by existing manufacturers, the main defects and deficiencies are as follows: [0003] 1) The system developed by the manufacturer is oriented to more serious failure modes, such as a serious equipment failure, but such failures occur very rarely. Even if they occur, general information records can record complete ...

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Problems solved by technology

[0002] At present, many manufacturers and research institutions at home and abroad are involved in the research and development of intelligent fault analysis systems, but they are all in the research stage, and only a small amount of tests have been done in conventional hydropower plants. Generally, there is no large-scale promotion, and no tests have been carried out in pumped storage power plants with complex operating conditions. A comprehensive analysis of such systems developed by existing manufacturers shows the main defects and deficiencies as follows:

[0003]1) The system developed by the manufacturer is oriented to more serious failure modes, such as a serious equipment failure, but the frequency of such failures is very rare, and even if it occurs, the general information records Complete fault data can be recorded, and the phenomenon is relatively obvious, and technicians can easily analyze the cause of this type of fault, so the effect of the fault analysis system is not obvious

[0004]2) Pumped storage units start and stop very frequently, and the working conditions are more complicated than conventional units, and the frequency of start and stop failures is relatively high. It is difficult and time-consuming, and it is a failure mode that really affects the daily availability of the unit. The manufacturer lacks experience in on-site failure analysis and handling, does not understand the process and methods of on-site failure analysis, and does not know what data and information are needed for on-site failure analysis. Often a bunch of data that technicians don't care about is recorded, but the data that is really needed is not recorded;

[0005]3) The fault signals of each power plant are different, generally need to be customized, and the cost is high, so many manufacturers are not keen on the development of this type of system, which leads to research and development The professionalism and pertinence of this type of system are not strong;

[0006]4) Generally, a large amount of additional equipment needs to be installed, which is costly and inconvenient to maintain, and the manufacturer does not open the source code, so the owner cannot carry out secondary development according to the needs, and the product is not practical

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