METHODOLOGY FOR DESIGNING MEASURING DEVICES FOR MONITORING AND CONTROL SYSTEMS OF PARAMETERS OF THE PRODUCTION PROCESS
The article is devoted to the development of a methodology for designing measuring instruments for monitoring and control systems of production process parameters, based on the principles of managing technogenic risk. The main focus is on ensuring the required metrological characteristics of measuring instruments with limited resources and the need for their justified selection. The theoretical basis of the methodology is the «damage-SKP» relationship criterion, which links the metrological parameters (mean square measurement error) of instruments with the level of technogenic risk and the amount of possible economic losses that occur in emergency situations. It includes stages of structural and parametric optimization, as well as an economic assessment of the device's implementation. This approach ensures a consistent consideration of metrological, design, and cost factors in a unified system of criteria. As an example of the methodology's application, the design of an optical pyrometric gas analyzer is considered, which includes the analysis of alternative schemes, mathematical modeling of the measurement conversion, and evaluation of metrological characteristics. The developed approach is versatile, as it can be applied to the design of various types of measuring instruments and at all stages of their life cycle (from structural optimization to economic evaluation of effectiveness). It has been practically tested and can be used in the design and modernization of industrial monitoring and management systems for technogenic risks.
Authors
- С. А. Гарелина (ORCID: https://orcid.org/0000-0003-0784-3003)
- Yury Akterskiy
Institutions
- Academy of the State Fire Service EMERCOM of Russia (RU)
- Civil Defense Academy (RU)
Publication Details
- Journal
- Problems of risk management in the technosphere
- Published
- 2025-12-26
- DOI
- https://doi.org/10.61260/1998-8990-2025-4-23-33
- Primary Topic
- Scientific Measurement and Uncertainty Evaluation
- Type
- article
- Field-Weighted Citation Impact
- 0.00