Data fusion method for calibration of multi-parameter instruments

A technology of data fusion and instrument verification, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as deviation and misjudgment

Inactive Publication Date: 2012-07-25
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

However, the above-mentioned methods did not consider the internal characteristics and relationships of these test data at a deeper level, resulting in a certain deviation between the conclusion and judgment results and the actual situation, and it is easy to draw misjudgment conclusions

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  • Data fusion method for calibration of multi-parameter instruments
  • Data fusion method for calibration of multi-parameter instruments
  • Data fusion method for calibration of multi-parameter instruments

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Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0021] Step 1. Perform denoising processing on multiple sets of historical data measured multiple times, and extract characteristic parameters of instrument calibration items for each set of historical data according to calibration rules;

[0022] Here, the denoising process can be processed in the following manner: performing wavelet decomposition on the historical data; selecting a heuristic threshold method to denoise the decomposed signal.

[0023] Here, the db4 wavelet can be selected to perform wavelet decomposition on multiple sets of historical data measured multiple times.

[0024] Determine the appropriate number of layers for wavelet decomposition. The more layers, the greater the computational workload, and the error will also increase. However, the larger the scale, the more conducive it is to analyze the signal trend from a deep...

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Abstract

The invention discloses a data fusion method for calibration of multi-parameter instruments, which includes: performing de-noising to multiple historical data groups acquired by multiple measurements, extracting characteristic parameters of instrument calibration items of each historical data group according to the calibration rule; building and training an artificial bee colony data fusion model according to the acquired characteristic parameters; normalizing identification results of the artificial bee colony neural network according to the acquired weight parameters of the artificial bee colony neural network structure and constructing the basic probability assignment of evidence; and finally making the decision according to the evidence combination results. By the data fusion method for calibration of multi-parameter instruments, internal characteristics of the data can be analyzed by means of fusing the historical test data, and instruments can be calibrated more reasonably. Further, instrument calibration conclusion can be determined more intelligently, artificial interference during the calibration data processing procedure is reduced and error conclusion can be avoided by building the artificial bee colony neural network structure and constructing the basic probability assignment of the evidence.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a data fusion method for multi-parameter instrument verification. Background technique [0002] According to the requirements of the Metrology Law, measuring instruments must be checked regularly. Verification refers to the process of identifying and confirming whether measuring instruments meet the legal requirements, which includes inspection, marking and issuance of verification certificates. The verification must operate in accordance with the verification procedures of the verified instrument, and record the test data of the verified parameters in the certificate, and then evaluate the overall technical performance of the instrument according to their deviation from the standard value. The verification generally needs to carry out repeated experiments in a specific experimental environment, and then comprehensively analyze the test data to draw a...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06N3/02
Inventor 王振林秦光旭袁太文李迅波
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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