Automation of solving problems of optimization of parameters of metrological maintenance system of measuring equipment
DOI:
https://doi.org/10.34185/1562-9945-6-137-2021-11Keywords:
modeling, metrological service, queuing model, state model of measuring instruments, automated control systemAbstract
Automation of the metrological service of the enterprise allows to reduce the use of labor to perform tasks of maintenance of measuring equipment and reduce staff errors. At the same time, the process of creating appropriate automated systems requires solving a number of problems related to the need to optimize the parameters of the designed system to ensure its highest efficiency. This article attempts to solve the problem of covering various models in the synthesis and study of simulation computer models that actively use the database of measuring instruments of enterprises. Developed and software implemented a model that allows interactive mode, taking into account the characteristics coming from the calibration laboratories of the service, and given economic and metrological criteria, to determine the values of optimal calibration and repair intervals, the optimal number of inspections in the repair interval and other parameters. The dependence of FTA reliability indicators on the quality of metrological maintenance and repair was investigated by simulation. The influence of inter - repair and inter - calibration intervals on economic efficiency of metrological service is investigated. As a result, the dependences are obtained, which also allow to investigate the influence of service quality parameters on complex reliability indicators. The use of research results allows in the dialog mode of the automated workplace of the metrologist to solve problems of optimization of parameters of metrological service on eco-nomic criteria and restrictions of concrete production on indicators of metrological reliability of measuring instruments, to carry out diagnostics and to forecast metrological reliability of measuring instruments. measurement accuracy and reduce the likelihood of hidden failures.
References
Grzeczka G, Klebba M. Automated Calibration System for Digital Multimeters Not Equipped with a Communication Interface. Sensors (Basel). 2020 Jun 29;20(13):3650. DOI: 10.3390/s20133650.
Abdelmegeed, H. Automatic calibration system for electrical sourcing and meas-uring instruments / Hala Abdelmegeed, Ali M. El-Rifaie // 12th International Conference on Environment and Electrical Engineering (EEEIC), 2013. DOI: 10.1109/EEEIC.2013.6549578
Ryzhov, Ye. Optimization of requirements for measuring instruments at metro-logical service of communication tools / Yevhen Ryzhov, Lev Sakovych, Petro Vankevych, Maksym Yakovlev, Yuriy Nastishin // Measurement, 2018, Volume 123, Pp.19-25. DOI:10.1016/j.measurement.2018.03.055.
Cheng, Fan-Tien. Developing an Automatic Virtual Metrology System / Fan-Tien Cheng, Hsien-Cheng Huang, Chi-An Kao // IEEE Transactions on Automation Science and Engineering. – 2012. – No 9(1). – Pp.181–188. DOI: 10.1109/TASE.2011.2169405.
Haw-Ching Yang, Hao Tieng, Fan-Tien Cheng. Automatic virtual metrology for wheel machining automation // International Journal of Production Research. 2016. – V. 54:21. – Pp. 6367-6377, DOI: 10.1080/00207543.2015.1109724
Іgnatkіn, V.U. Matematichne zabezpechennya tekhnіchnih zasobіv vimіryuvannya і kontrolyu : Monografіya / V.U. Іgnatkіn. – m. Kam'yans'ke : DDTU, 2019. – 350 s.
Avtomatizaciya metrologicheskogo obsluzhivaniya sredstv izmerenij promyshlennogo predpriyatiya / V. U. Ignatkin i dr.: pod red. V. U. Ignatkina. – M. : Izd-vo standartov, 1988. – 208 s.
Opredelenie i analiz zavisimosti pokazatelej nadezhnosti sredstv izmerenij / Ig-natkin V.U. i dr. // Izmeritel'naya tekhnika. – 1989. – № 7. – S. 11–13.
Ocenka, kontrol' i prognozirovanie metrolo-skoj nadezhnosti sredstv izmerenij / V. U. Ignatkin i dr.: pod red. V. U. Ignatkina. – M.: Izd-vo standartov, 1991. — 190 s.
Manko, G.I. Matematicheskoe modelirovanie metrologicheskoj nadezhnosti sredstv izmereniya s cel'yu optimizacii mezhpoverochnyh intervalov / G.I. Manko, N.M. Smunyova // Voprosy himii i himicheskoj tekhnologi. – 2005. – № 4. – S. 181–184.
Іgnatkіn, V.U. Osoblivostі analіzu dinamіchnoї pogrіshnostі pri ocіncі metrologіchnoї nadіjnostі zasobіv vimіryuvannya / V.U. Іgiatkіn // Metrologіya і priladi. – 2019. – № 2 – S. 36–42. DOI: 10.33955/2307-2180(2)2019. S. 36–42.
Martin, Dzh. Organizaciya baz dannyh v vychislitel'nyh sistemah : per. s angl. / Dzh. Martin . – 2-e izd., dop . – M. : Mir, 1980 . – 662 s.
Horbiychuk, M.S. The Use of Petri Networks tor the Optimal Complexity Empiri-cal Models Building Parallel / M.S. Corbiychuk. O.T. Bila. I lumeniuk T.V. // Algo-rithm Synthesis on the Genetic, June 2019. – Issue 89. – Pp. 123–128.
Horbiychuk, M.I. Neural network identification technology for manufacturing operations of drilling rig / M.I. Horbiychuk, T.V. Humeniuk // Науковий вісник національного гірничого університету. – 2017. – №3 (159). – С. 107 – 113.
Metodichnі vkazіvki do obchislennya ta pro-gnozuvannya pokaznikіv metrologіchnoї nadіjnostі zasobіv vimіryuvannya pri vikonannі kursovoї roboti z disciplіni «Metrologіya j tekhnologіchnі vimіryuvannya» dlya studentіv IІ- IV kursіv specіal'nostі 21.03. CHastina І ; uporyad. V. U. Іgnatkіn ta іn.; pіd red. V. U. Іgnatkіna. – Dnіpropetrovs'k : UDHTU, 1994. – 40 s.
V.U. Іgnatkіn «Avtomatizovana sistema metrologіchnogo obslugovuvannya na promislovih pіdpriєmstvah». «Mіzhnarodna naukovo-praktichna konferencіya» Prikladnі «naukovo-praktichnі doslіdzhennya», m.Іvano-Frankіvs'k «Simfonіya», 2017-5-7 kvіtnya, 1s 86.
