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A method for evaluating the importance of industrial equipment data

A technology for industrial equipment and data quality assessment, applied in the field of industrial equipment data processing, can solve the problems of processing lag, huge labor cost investment, strong experience dependence, etc., and achieve the effect of reducing labor costs and accurate and reliable scoring results

Inactive Publication Date: 2019-01-04
SHANGHAI ELECTRICGROUP CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although it is an effective scoring method to use physical experts to score indicators based on expert experience, in the process of data quality assessment, it is risky to rely solely on physical experts to score index importance based on experience
The main disadvantages of this method are: huge human cost investment, strong experience dependence, and processing lag

Method used

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  • A method for evaluating the importance of industrial equipment data
  • A method for evaluating the importance of industrial equipment data
  • A method for evaluating the importance of industrial equipment data

Examples

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Embodiment 1

[0028] like figure 1 As shown, the method for evaluating the importance of industrial equipment data in the embodiment of the present invention has the following steps:

[0029] S1: Collect a sample data set of industrial equipment, score the importance of the quality evaluation indicators of the data set, and form a sample scoring data scoring table;

[0030] S2: Establish a virtual scoring model based on sample data;

[0031] S3: Scoring the data set to be evaluated according to the virtual scoring model;

[0032] S4: Based on the scoring results and combined with the data quality assessment model, obtain the data quality assessment score of the data set to be assessed;

[0033] S5: Repeat step S3 and step S4 several times to obtain several sets of data quality evaluation scores, and iteratively adjust the weight of each score.

[0034] In this embodiment, step S1 is specifically operated as follows: firstly, preliminary screening of sample data is performed, several grou...

Embodiment 2

[0060] In this embodiment, the importance of the quality evaluation index of the fan operation data is evaluated, and the specific implementation process is as follows:

[0061] (1) Collect 100 sets of data variables in the wind farm SCADA control system (fan number, fan active power, reactive power, voltage, current, power factor, instantaneous wind speed, wind rotor speed, temperature, power generation, generator speed, pitch angle) as 100 sets of sample data sets, and record the type, size, number of data variables, and purpose of data analysis of the sample data sets, and invite 10 experienced experts in the field of data mining to evaluate the importance of quality evaluation indicators. Score to form an expert sample scoring data scoring table.

[0062] (2) Based on the scoring table of expert sample scoring data, 10 non-linear mapping models between input data and output data are established through neural network algorithms to form 10 virtual scoring models based on sa...

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Abstract

The technical proposal of the invention discloses an importance evaluation method of industrial equipment data, which comprises the following steps: S1, collecting a sample data set of industrial equipment, recording the basic situation of the sample data set, and scoring the importance of the quality evaluation index of the data set to form a sample scoring data scoring table; S2, establishing avirtual scoring model based on sample data; 3, scoring the data set to be evaluated accord to the virtual scoring model; S4: based on the scoring results and combined with the data quality evaluationmodel, the data quality evaluation score of the data set to be evaluated being obtained. The technical proposal of the invention realizes the real-time evaluation of the importance of the industrial equipment data, avoids the situation that the entity experts need to be invited, and reduces the manpower cost, and the evaluation result is accurate and reliable.

Description

technical field [0001] The invention relates to the technical field of industrial equipment data processing, in particular to a method for evaluating the importance of industrial equipment data. Background technique [0002] In modern society, data is the necessary basis for industrial enterprises to move towards informatization. However, with the continuous aging of enterprise equipment, sensor failure, and instability of transmission networks, data quality problems have become increasingly prominent. When evaluating data quality, it will involve a variety of data quality evaluation indicators, such as completeness, accuracy, consistency, reliability, etc., and each indicator has a certain impact on data quality. Small, in order to obtain accurate evaluation results of data quality, it is first necessary to accurately measure the impact of the importance of different indicators on the final data quality evaluation results, and express this impact in a quantitative form. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06Q50/06
CPCG06Q50/06
Inventor 董亚明许伟杨家荣
Owner SHANGHAI ELECTRICGROUP CORP
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