Evaluation of Uncertainty in Measurement Based on Cloud Computing

Gang WU, Chao-qun WEN, Fan ZHANG, Chao ZHAO, Hai-tao WANG

Abstract


Measurement uncertainty is an indispensable factor to describe the precision of measurement value. Evaluation of measurement uncertainty, however, is the obstacle for most of tests and measurements because of its complexity of modeling and calculation. Meanwhile, almost all current automatic uncertainty evaluation technologies are lack of customized measurement modeling, control flexibility, data sharing, or result comparison. Aimed at such issues, we propose uncertainty evaluation and calculation technologies and develop an accordant system based on cloud computing. According to the experiment result, the technologies and system are useful and efficient.

Keywords


Evaluation of measurement uncertainty, Cloud computing, Customized measurement modeling


DOI
10.12783/dtcse/aita2016/7575

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