Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A modeling method for unit online monitoring system based on big data

A technology of monitoring system and modeling method, which is applied in the monitoring of wind turbines, engines, mechanical equipment, etc., can solve the complex monitoring of the online monitoring system of the unit, the evaluation of the operating status of the unit is affected by multiple factors, and the accuracy of the health status monitoring model Low-level problems, to achieve the effect of simplifying the online monitoring process, improving monitoring precision, and improving accuracy

Active Publication Date: 2022-05-24
苏州绿科智能机器人研究院有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A modeling method for unit online monitoring system based on big data
  • A modeling method for unit online monitoring system based on big data
  • A modeling method for unit online monitoring system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0051] Step 1. The monitoring and measuring points can be selected based on past experience and the monitoring parameters in the unit usage record table, and select the current, winding temperature, and bearing temperature as the monitoring and measuring points to illustrate this scheme. The historical data of the above three monitoring and measuring points The set should cover the operating parameters of each monitoring point within 1 to 3 years of wind turbine operation.

[0052] In step 2, the historical data corresponding to the unit current, winding temperature and bearing temperature in step 1 are cleaned once. The value of the measuring point is used as the ordinate, and trend analysis is carried out. Taking the historical data of the current operation of the unit within three years as an example, it can be obtained as follows: figure 1 The current trend graph of the wind turbine shown, by figure 1 The trend graph can quickly obtain the historical data set of running s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a modeling method of an on-line unit monitoring system based on big data. The on-line monitoring system integrates a single measurement point evaluation model, an abnormal state data model and a normal state data model based on historical data. Since the data before modeling In the process of processing, the data sets in the abnormal state were not deleted only through simple comparison, but multi-dimensional analysis was carried out by comparing the relationship between the measurement points corresponding to the data sets and other measurement points, in order to establish normal data The model and the abnormal state data model provide the data basis, which improves the accuracy of the separated data set after the second cleaning. Since the normal state data model and the abnormal state data model in the system will affect the operation of the unit through the synergy of multiple factors, Improved accuracy during real-time monitoring. The invention simplifies the modeling process of the on-line monitoring system, and improves the detection accuracy and efficiency of the on-line monitoring system.

Description

technical field [0001] The invention relates to the industrial application field of generator sets, in particular to a big data-based modeling method for an on-line monitoring system of a generator set. 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 screen the data, and the filtered data needs to undergo complex The health state monitoring model can be established only by computing, but the system after complex operation has a large deviation from the actual state, which increases the complexity of establishing the health state monitoring model and reduces the accuracy of the health state monitoring model. At the same time, when the unit is running, the synergistic effect of each influencing factor has a greater impact on the healthy operation of the wind turbi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products