Дослідження стану та властивостей технологічних об’єктів з використанням методів сучасної теорії керування. Частина 1. Проведення статистичних діагностичних заходів

Л. О. Власенко, А. П. Ладанюк

Анотація


STUDY OF STATE AND PROPERTIES OF TECHNOLOGICAL OBJECTS USING METHODS OF THE CONTEMPORARY THEORY OF MANAGEMENT. PART 1. CONDUCT OF STATISTICAL DIAGNOSTIC MEASURES

L. Vlasenko, A. Ladanyuk

 

The first part of the article presents the results of the evaluation of the state of the technological object of automation on the basis of statistical methods and diagnostic measures. For example, the work of the evaporation station of a sugarmill, which is a complex multi-dimensional variable technological object with traditional systems of automatic control. The samples corresponding to the evaporation process in one evaporator were investigated. The investigated processes are stable, controlled, do not go beyond the limits established by the technological regulations, the object works in the regular mode. The qualitative index of the work of the ES is the content of dry matter at the exit from the last Corps of the ES, which has no direct governing influence. The most indirect technological parameter characterizing the control effect is the temperature in the 1 Corps of the ES.

The urgency of the research topic is due to the need to increase the efficiency of the functioning of the technological object, which works in combination with the traditional system of automatic control. In today's conditions, given the high competition between food producers, difficult economic conditions, comes to the forefront issues related to the reduction of intermediate losses in production, the cost of production, the increase in the quantity of output, the improvement of the quality of the final product, energy and resource-saving, Which taking into account the high level of development of technology and technology is possible at the expense of an advanced definition of the probable debugging of the passage of the technological process and the operational introduction of the correction corrective influence to improve energy and resource efficiency.
An analysis of the time series of temperature in the 1 Corps of the ES is carried out on the basis of the construction of control maps of Shewhart using the STATISTICA software. The analysis of the statistical control of the technological process is carried out, in particular the analysis of the presence of emissions at the control limits, the results of diagnosing the state of the technological process are presented. The automated analysis of control cards submitted in the STATISTICA program is presented. The features of using control cards and procedures for various stages of improving the efficiency of the operation of the object are considered. The results of the advanced definition of possible debugging of the technological process on the basis of the analysis of one-dimensional control maps of Shewhart are analyzed. An estimation of the efficiency of the work of the investigated technological object is carried out by analyzing the nature of the behavior of the technological variable of the quality indicators of the product and implemented with the help of statistical tools - the Ishikawa charts.

In the future, it is planned to conduct an analysis of the quality of the work of the ES on an alternative basis to detect the real level of defect at the current time by constructing control cards on an alternative basis. The second part of the article will be devoted to peculiarities of carrying out of prognostic measures for increasing the efficiency of technological complex functioning.


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Uyler, D. (2009). Statystycheskoye upravleniye protsesami. Optimizatsyia biznesa s ispolzovaniyem kontrolnykh kart Shukharta [Statistical management of processes. Optimization of business using Shewhart's control charts]. Moscow, Russia: Alpyna Byznes Buks, 409.

Demynh, Е. (2007). Vykhod iz krizysa: Novaia paradyhma upravleniia liudmi, systemami i protsessami [A new paradigm for managing people, systems and processes]. Moscow, Russia: Alpyna Byznes Buks, 370.

Adler, Iu. P., Maksymova, O. V., Shper, V. L. Kontrolnyye karty Shukharta v Rossiyi i za rubezhom: kratkii obzor sovremennoho sostoyaniya (statisticheskiye aspekty) [Shewhart's control charts in Russia and abroad: a brief overview of the current state (statistical aspects)]. Available at: http://www.ria-stk.ru/upload/image/stq/2011/N8/082011-1.pdf

Kashtanov, V. A. (2002). Teoriya nadozhnosti slozhnykh sistem [The theory of reliability of complex systems]. Moscow, Russia: Yevropeiskii tsentr po kachestvu, 470.

Montgomery, Douglas C. (2009). Introduction to statistical quality control. 6-th Edition. John Wiley & Sons, Inc, 754.

Vlasenko, L. O., Ladanyuk, A. P., Sych, M. A. Statystychna diahnostyka protsesu funktsionuvannya vyparnoi stantsiyi tsukrovoho zavodu [Statistical diagnostics of operating process of sugar factory evaporator plant] // Avtomatyzatsiya tekhnolohichnykh i biznes-protsesiv. Odesa: ONAKhT, 2 (18), 50–60.

Borror, C. M., Champ, C. M. (2001). Phase I Control Charts for Independent Bernoulli Data, 17(5), 391–396. doi: 10.1002/qre.425.

Ladaniuk, A. P. Zaiets, N. A., Vlasenko, L. O. (2016). Suchasni tekhnolohiyi konstruyuvannya system avtomatyzatsiyi skladnykh ob’yektiv (merezhevi struktury, adaptatsiya, diahnostyka ta prohnozuvannya): monohrafiya [Modern technologies for the design of complex automation systems (network structures, adaptation, diagnostics and forecasting)]. Lira-K, 312.


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