Issue |
E3S Web of Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
|
|
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Article Number | 07004 | |
Number of page(s) | 8 | |
Section | IT in Environmental Science | |
DOI | https://doi.org/10.1051/e3sconf/202338907004 | |
Published online | 31 May 2023 |
Statistical processing of multiple measurements results
Saint Petersburg State University of Architecture and Civil Engineering, Vtoraja Krasnoarmejskaja ul. 4, St. Petersburg, 190005, Russia
* Corresponding author: bennor@yandex.ru
The product quality is determined by improvements of equipment, technologies, and production arrangement, which directly depends on the accuracy of measurement information. To achieve high measurement accuracy, it is reasonable to automate measurement processes. In case of automation, some functions are performed by equipment computer programs. The processing of direct comprehensive measurements is a complicated process including multiple algorithms of computation and various hypothesis tests. Taking into account the complexity and duration of statistical processing of results of multiple measurements, this paper is intended to develop a software measurement suite to process direct multiple measurements. The software measurement suite is a number of tools and software programs operating together to accomplish the tasks related with acquisition of required parameters and measurement results. To achieve this goal, it was required to address the following issues: implementation of the advanced measurement technologies into the developed software measurement suite; using wireless transmission of observation findings; ensuring compatibility of the developed software with the proprietary software of the used measurement instruments; improving the quality of measurements; improving the quality of processing measurement results by minimising the human factor effects on the processing quality; minimising the time spend for processing of the obtained measurement results.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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