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Unit online monitoring system modeling method based on big data

A technology of monitoring system and modeling method, applied in wind turbine monitoring, engine, mechanical equipment, etc., can solve the problem of multi-factor influence of unit operation status assessment, complicated monitoring of unit online monitoring system, and accuracy of health status monitoring model. Low problems, to achieve the effect of simplifying the online monitoring process, improving the monitoring accuracy, and improving the accuracy

Active Publication Date: 2021-04-16
苏州绿科智能机器人研究院有限公司
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Problems solved by technology

[0003] The main purpose of the present invention is to solve the problem that due to many factors affecting the normal operation of the wind power generating set, the evaluation of the operating state of the generating set is affected by multiple factors, which makes the monitoring of the online monitoring system of the generating set complicated and the accuracy of the health status monitoring model is low, and Provide a modeling method for unit online monitoring system based on big data

Method used

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  • Unit online monitoring system modeling method based on big data
  • Unit online monitoring system modeling method based on big data
  • Unit online monitoring system modeling method based on big data

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Embodiment

[0050] Step 1. Monitoring and measuring points can be selected based on past experience and monitoring parameters in the record table of unit usage. Select current, winding temperature, and bearing temperature as monitoring measuring points to illustrate this plan. The historical data of the above three monitoring measuring points The set should cover the operating parameters of each monitoring and measuring point within 1 to 3 years of wind turbine operation.

[0051] Step 2. Clean the historical data corresponding to the unit current, winding temperature, and bearing temperature in step 1. The cleaning method is: take the time signal carried in each historical data as the abscissa, and under the time signal, the monitoring The value of the measuring point is used as the vertical coordinate for trend analysis. Taking the historical data of unit current operation within three years as an example, the following can be obtained: figure 1 The current trend diagram of the wind tur...

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Abstract

The invention discloses a unit online monitoring system modeling method based on big data. An online monitoring system integrates a single measurement point evaluation model, an abnormal-state data model and a normal-state data model according to historical data, due to the fact that in a data processing process before modeling, a data set in the abnormal state is not deleted only through simple comparison, multi-dimensional analysis is conducted by comparing the incidence relation between the measuring points corresponding to the data set and other measuring points, a data basis is provided for establishing a normal-state data model and an abnormal-state data model, the accuracy of the separated data set after secondary cleaning is improved, and the normal-state data model and the abnormal-state data model in the system take multi-factor synergistic effect on influence on the unit operation into consideration, so that the accuracy of real-time monitoring is improved. According to the invention, the modeling process of the online monitoring system is simplified, and the detection precision and efficiency of the online monitoring system are improved.

Description

technical field [0001] The invention relates to the field of industrial application of generator sets, in particular to a modeling method for an online unit monitoring system based on big data. Background technique [0002] There are many factors affecting the operation of wind turbines. When the health status monitoring system in the prior art is applied to wind turbines, it is often necessary to set up a complex data processing module to preprocess and filter the data, and the filtered data still needs to go through complex processes. The health status monitoring model can only be established by computing, but the system after complex calculations has a large deviation from the actual state, which increases the complexity of the health status monitoring model and reduces the accuracy of the health status monitoring model. At the same time, when the unit is running, the synergistic effect of various influencing factors has a greater impact on the healthy operation of the wi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D17/00
Inventor 龚鸽灵唐冰
Owner 苏州绿科智能机器人研究院有限公司
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