Data processing method for reducing uncertainty of measurement data

Abstract

The invention discloses a data processing method for reducing uncertainty of measurement data. According to the method, various influence factors which are finally and comprehensively reflected on the measurement data are fully considered, thus the analysis and compensation of a statistical law are carried out on the measurement data, a system error is compensated by use of a method of averaging multiple measurements, a random error remained after the compensation of the system error is filtered by use of a wavelet filtering method, the combined compensation data are approximate to real data, thus the uncertainty of the measurement data is reduced, the processing process is compact and efficient; the method takes the measurement data processing of a three-coordinate measuring machine as an example, but is not limited to three-coordinate data processing; the method is a universal data processing method and has high engineering application value.

Description

technical field [0001] The invention belongs to the technical field of testing, and in particular relates to a data processing method for reducing measurement data uncertainty. Background technique [0002] Digital measurement is the first stage of geometric error modeling for precision assembly, and high-efficiency and high-precision data acquisition is the basis for later data processing and model reconstruction. Therefore, using appropriate digital measuring equipment and measuring methods to obtain accurate measurement data is the most basic and critical link in geometric error modeling. [0003] In the actual measurement process, the measurement cost of high-precision measuring instruments is relatively high. By performing error analysis on the measurement data of low-precision measuring instruments and compensating for the measurement errors, the low-precision equipment can realize the function of equivalent high-precision measurement. The economic value and engineeri...

AI Technical Summary

Problems solved by technology

The error prevention method is to eliminate or reduce possible error sources through design and manufacturing, and to meet the measurement accuracy requirements by improving the manufacturing accuracy of the three-coordinate measuring machine. For example, Jianghan University replaced the measurement system of the three-coordinate measuring machine and improved and designed it The matching mechanical part of the measuring system improves the accuracy of the measuring machine, but the error prevention method has great limitations and high economic costs; while the error compensation method uses software technology to artificially generate a new error to offset the current Original error, this method has low economic cost, such as the quasi-rigid body error correction model based on 21 geometric errors proposed by Tianjin University, which measures and controls these 21 errors and compensates accordingly, but this method is complicated and not suitable for engineering applications , and the main correction is the influence of various systematic errors, without fully considering various influencing factors, and less processing of random components

[0005] With different measuring instruments, measuring methods, measuring environments, etc., the uncertainty of the measurement results will be different, so most of the current research stays in the theoretical analysis and evaluation of the uncertainty, and only aims at reducing the uncertainty of certain measuring instruments. The uncertainty of the measurement data, there is no universal method to process the measurement data

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