doi: 10.17586/2226-1494-2015-15-2-329-337


INTERVAL ADDITIVE PIECEWISE POLYNOMIAL TIME OPERATION MODEL OF HUMAN-OPERATOR IN A QUASI-FUNCTIONAL ENVIRONMENT

M. V. Serzhantova, A. V. Ushakov


Read the full article  ';
Article in Russian

For citation: Serzhantova M.V., Ushakov A.V. Interval additive piecewise polynomial time operation model of human-operator in a quasi-functional environment. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2015, vol.15, no. 2, pp. 329–337.

Abstract

We consider the modeling problem for the human-operator functional activity. Productivity is selected as the main indicator of his function during the working shift. The problem is solved in the class of additive interval piecewise polynomial time views. Real labor productivity of human-operator is suggested to be formed by three interrelated processes: warming-up, tiredness and functionality restoration. Recreational interval for restoration during the first half of the working shift after cumulative tiredness over the first half-shift is considered by the authors as a system-related factor. The model takes into account: interval character of the human-operator individual properties. This gives the possibility to describe more fully and adequately the functional activity of the human-operator. Piecewise polynomial representation made it possible to describe adequately his performance, without complex approximation representations that accumulate errors of final grades for the human-operator performance. Obtained interval additive piecewise polynomial time operation model of human operator activity in the quasi-static environment has given the possibility to analyze and predict functional measures for performance management of human-operator functional activity in manufacturing static environment.


Keywords: human-operator, functional activity, warming-up, tiredness, recreational interval, productivity, piecewise polynomial approximation, additive models with interval parameters.

Acknowledgements. This work was supported by the Government of the Russian Federation, Grant 074-U01 and the Russian Federation Ministry of Education and Science (Project 14. Z50.31.0031)

References
1. Jury E.I., Pavlidis T. A Literature survey of biocontrol systems. IEEE Transactions on Automatic Control, 1963, AC-8, pp. 210–217.
2. Baron S., Kleinman D.L., Miller D.C., Levision W.H., Elkind J.I. Application of optimal control theory to prediction of human performance in a complex task. Proc. 5th Annual NASA-University Conference on Manual
Control. Cambridge, 1969, pp. 367–387.
3. McRuer D.T., Krendel E.S. Mathematical models of human pilot behavior. AGARD, Tech. Rep. AGARD-AG-
188, 1974, 84 p.
4. Sheridan T.B., Ferrell W.R. Man-machine systems: information, control, and decision models of human performance. The American Journal of Psychology, 1975, vol. 88, no. 4, pp. 703–707. doi: 10.2307/1421912
5. Tsibulevskii I.E. Chelovek Kak Zveno Sledyashchei Sistemy [Man as a Unit of Servo System]. Moscow, Nauka Publ., 1981, 288 p.
6. Zaitsev V.S. Sistemnyi Analiz Operatorskoi Deyatel'nosti [System Analysis of Operator Activity]. Moscow, Radio i Svyaz' Publ., 1990, 119 p.
7. Shipilov A.I, Shipilova O.A. Vysokaya rabotosposobnost' personala – zabota kadrovika [High availability of staff - care personnel officer]. Kadry Predpriyatiya, 2003, no. 3, pp. 7–15.
8. Efremov A.V., Ogloblin A.V., Koshelenko A.V. Zakonomernosti kharakteristik deistvii cheloveka-operatora v zadachakh nepreryvnogo upravleniya [Regularities of the characteristics of operator actions in problems of
continuous control]. Vestnik Komp'yuternykh i Informatsionnykh Tekhnologii, 2006, no. 7, pp. 2–10.
9. Sebryakov G.G. Kharakteristiki deyatel'nosti cheloveka-operatora v dinamicheskikh sistemakh slezheniya i navedeniya letatel'nykh apparatov [Characteristics of operator activity in dynamical systems of tracking and aiming of aircraft]. Vestnik Komp'yuternykh i Informatsionnykh Tekhnologii, 2007, no. 11, pp. 2–8.
10. Pupkov K.A., Ustyuzhanin A.D. Optimizatsiya vzaimosvyazi cheloveka i tekhniki pri upravlenii kosmicheskimi ob"ektami [Optimizing the relationship between man and technics in managing space objects].
Materialy 17 Sankt-Peterburgskoi Mezhdunarodnoi Konferentsii po Integrirovannym Navigatsionnym Sistemam [Proc. 17th St. Petersburg Int. Conf. on Integrated Navigation Systems]. St. Petersburg, 2010, pp.
238–240.
11. Sebryakov G.G. Modelirovanie deyatel'nosti cheloveka-operatora v poluavtomaticheskikh sistemakh upravleniya dinamicheskimi ob"ektami [Simulation of the man-operator activities in semi-automatic control
systems by dynamic objects]. Mekhatronika, Avtomatizatsiya, Upravlenie, 2010, no. 4, pp. 17–29.
12. Besekerskii V.A., Popov E.P. Teoriya Sistem Avtomaticheskogo Regulirovaniya [The Theory of Automatic Control Systems]. St. Petersburg, Professiya Publ., 2003, 752 p.
13. Franks L. Signal Theory. Prentice-Hall, NJ, 1969, 318 p.
14. Kalmykov S.A., Shokin Yu.I., Yuldashev Z.Kh. Metody Interval'nogo Analiza [Methods of Interval Analysis]. Novosibirsk, Nauka Publ., 1986, 222 p.
15. Dudarenko N.A., Polyakova M.V., Ushakov A.V. Formirovanie interval'nykh vektorno-matrichnykh model'nykh predstavlenii antropokomponentov-operatorov v sostave slozhnykh dinamicheskikh sistem [Formation of the interval vector-matrix modeling representations of anthropocomponents-operators as a part of complex dynamic systems]. Scientific and Technical Journal of Information Technologies, Mechanics and
Optics, 2010, no. 6 (70), pp. 32–36.


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Copyright 2001-2021 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.
All rights reserved.

Яндекс.Метрика