Thermal power plant main operating parameter target value determining method based on association rule mining

A technology of operating parameters and determining methods, applied in the direction of comprehensive factory control, comprehensive factory control, electrical program control, etc., to achieve good robustness and accuracy, and eliminate serious defects

Active Publication Date: 2016-11-09
SHANGHAI UNIV
View PDF5 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

How to prevent potential knowledge from being ignored, determine the relationship between the optimal operating target working c

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
  • Thermal power plant main operating parameter target value determining method based on association rule mining
  • Thermal power plant main operating parameter target value determining method based on association rule mining
  • Thermal power plant main operating parameter target value determining method based on association rule mining

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0034] Such as figure 1 As shown, a method for determining the target value of the main operating parameters of a thermal power plant based on association rule mining includes the following steps:

[0035] First, it is necessary to perform data cleaning on the historical operation data set of the thermal power plant. The real data is incomplete, noisy, and fuzzy, and cannot be directly used for data mining. In order to improve the validity and correctness of the results of data mining and reduce the time required for data mining, data preprocessing is required. Data preprocessing includes many aspects, including checking the consistency of data, invalid and missing values, etc., and smoothing the data set; the correction of invalid and missing values ​​is replaced by the average value of the adjacent values ​​in time sequence.

[0...

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 provides a thermal power plant main operating parameter target value determining method based on association rule mining. The rule knowledge of a unit under certain operating conditions is acquired by using steady operating data stored in a historical operating database through an association rule mining technology, and finally the knowledge is used to guide the unit optimization operating. The method comprises the steps that the steady operating data are extracted from a unit historical operating data set through a data preprocessing technology; discretization of continuous attributes is carried out on a specific condition data set through a condition dividing result to complete data set preparation of association rule mining; and rule knowledge extraction is carried out on a discretized data set through an association rule mining technology to acquire a unit historical operating knowledge database. The knowledge database can assist an operator or a control system to make relevant decisions. According to different target attributes, the economy, stability and environment protection of unit operating can be improved, and a unit is under an excellent operating condition for a long time.

Description

technical field [0001] The invention belongs to the technical field of thermal power operation optimization, and relates to a method for determining target values ​​of main operating parameters of a thermal power plant based on association rule mining. The method is applicable to thermal power, wind power and other related fields. Background technique [0002] In order to ensure the safe, stable and efficient operation of thermal power plant units, the optimization technology of large thermal power unit operating parameters based on data mining has become one of the key areas of research. Under the same external constraints, the unit operates stably under different operating conditions due to the difference in operation. The operating condition records in the unit historical operation database cover a wide range and can truly reflect the actual operating status of the unit. The optimal and achievable operating conditions of the unit under different external conditions are al...

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
IPC IPC(8): G05B19/418
CPCY02P90/02G05B19/41865
Inventor 贾立黄文成
Owner SHANGHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products