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2021•2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)Requires access

Evaluation of Measurement Uncertainty of Non-contact 3D Measuring Machine

Zengyun Liu, Changsheng Ai

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Abstract

The GUM method was used to evaluate the measurement uncertainty of the non-contact 3D measuring machine with image recognition system, and various sources of the uncertainty components were analyzed, including the uncertainty components introduced by measurement standards, environmental factors and instrument measurement repeatability. Quantitative calculations are made for each component, the measurement uncertainty of each calibration point is obtained, and the results are verified. It provides a reference for the evaluation of the uncertainty of the instrument with an image recognition system, and also brings great help to the majority of surveyors to use this type of instrument.

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What this paper is about

The GUM method was used to evaluate the measurement uncertainty of the non-contact 3D measuring machine with image recognition system, and various sources of the uncertainty components were analyzed, including the uncertainty components introduced by measurement standards, environmental factors and instrument measurement repeatability. Quantitative calculations are made for each component, the measurement uncertainty of each calibration point is obtained, and the results are verified. It provides a reference for the evaluation of the uncertainty of the instrument with an image recognition system, and also brings great help to the majority of surveyors to use this type of instrument.

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Available abstract

The GUM method was used to evaluate the measurement uncertainty of the non-contact 3D measuring machine with image recognition system, and various sources of the uncertainty components were analyzed, including the uncertainty components introduced by measurement standards, environmental factors and instrument measurement repeatability. Quantitative calculations are made for each component, the measurement uncertainty of each calibration point is obtained, and the results are verified. It provides a reference for the evaluation of the uncertainty of the instrument with an image recognition system, and also brings great help to the majority of surveyors to use this type of instrument.

Key concepts: Measurement uncertainty, Repeatability, Standard uncertainty, Calibration, Uncertainty analysis, System of measurement, Computer science, Component (thermodynamics)

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