Improving Occupational Safety of the Metallurgical Enterprises Workers by the Methods of Monitoring the Psychophysiological Parameters of an Employee in Real Time


Annotation:

Presented are the developments using methods of monitoring the psychophysiological state of a person that are designed to improve the work safety of the employees at the metallurgical enterprises. A wearable device was developed for taking readings of the psychophysiological reactions (pulse, galvanic skin response, body and environmental temperature, etc.), and for determining the location of an employee within the production area in real time. The device can also record a sharp change in the position of a person in space, which indirectly indicates an emergency. The device indicates and reads changes throughout the shift and transfers to the server; when one of the monitored parameters increases, a message is generated on the operator monitor about a problem in the employee condition and his location. Previously developed program «System for monitoring the psychophysiological state of an operator at the metallurgical industry» with the help of a software processes the information from the device and warns the operator about the occurred hazard, and, also, suggests the ways for solving the problem. However, the decision itself remains with the operator. Under the conditions of working process modeling using the given parameters, the situations (accidents, personnel selection) were simulated that were close to real ones, which allowed to conduct a comparative analysis of the maximum and minimum permissible characteristics of the psychophysiological reactions for the employees of the metallurgical production. The developed device and monitoring system can significantly reduce (or completely prevent) the number of errors and accidents at the production site that are provoked by the influence of the human factor.

References:
1. Vishnevskiy D.A., Sakharov B.A. Improving the reliability of metallurgical equipment through the introduction of Realtime locating systems technologies and Internet of Things. Journal of Advanced Research in Technical Science. 2018. Iss. 12. pp. 74–77. (In Russ.).
2. Vyshnevskyy D., Kasyanov N., Medianyk V. The Ways of Improving Performanceof Industrial Risk and Working Conditions. TEKA. Commission of Motorization and Energetics in Agriculture. 2013. № 4. pp. 280–287.
3. Izvekov Yu.A. Risk analysis of metallurgical production equipment. Approach, concept, analysis. Saarbrucken: LAP Lambert, 2013. 56 p. (In Russ.).
4. Suleymanov M.G., Abdullina L.Sh. Evaluation of personnel reliability for professional personnel selection in metallurgy. Vestnik MGTU im. G.I. Nosova = Vestnik of Nosov MSTU. 2014. № 3. рр. 73–78. (In Russ.).
5. Vishnevskiy D.A., Zhiltsov A.P., Kozachishen V.A., Sakharov B.A. Certificate № 2019616921 The Russian Federation. System for monitoring the psychophysiological state of the metallurgical industry operator by the software. Applied: May 20, 2019. Published: May 30, 2019. (In Russ.).
6. Chuklin D., Okhlupin S., Sharov A., Rybakin A., Deykin M. Strategies and Systems for Ensuring Operational Reliability of the Metallurgical Plant Equipment. Reglament = Regulation. 2015. № 6 (44). рр. 148–150. (In Russ.).
7. Terentev D.V., Platov S.I., Ogarkov N.N., Zhirkin Yu.V., Kerimova L.F. Ways of Increasing the Resource of Friction Units of Machines and Units of Metallurgical Production. Tez. dokl. 76-y mezhdunar. nauch.-tekhn. konf. «Aktualnye problemy sovremennoy nauki, tekhniki i obrazovaniya» (Theses of the seventy-sixth International scientific and technical conference. «Actual problems of the modern science, technology and education»). Magnitogorsk: Izd-vo MGTU im. G.I. Nosova, 2018. 499 р. (In Russ.).
8. Bobrov V.T., Slyadnev A.M. Robotic systems of non-destructive testing and technical diagnostics of industrial objects. Kontrol. Diagnostika = Testing. Diagnostics. 2018. № 2. рр. 16–31. (In Russ.). DOI: 10.14489/td.2018.02.pp.016-031
9. Sidorov V.A., Oshovskaya E.V. Practice of analyzing equipment failures. Metallurgicheskaya i gornorudnaya promyshlennost = Metallurgical and Mining Industry. 2013. № 4 (283). pp. 100–103. (In Russ.).
10. Vasconcelos V., Soares W.A., Marques R.O. Integrated Engineering Approach to Safety, Reliability, Risk Management and Human Factors. Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures: Decision Making, Theory, and Practice. Springer International Publishing AG, 2018. 258 p. DOI: 10.1007/978-3-319-62319-1_4
11. Nivolianitou Z., Konstandinidou М. A Fuzzy Modeling Application for Human Reliability Analysis in the Process Industry. Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures: Decision Making, Theory, and Practice. Springer, International Publishing AG, 2018. 258 p. DOI: 10.1007/978-3-319-62319-1_5
12. Olsen N.S. Close Enough is not Good Enough: Improving the Reliability of Accident and Incident Classification Systems in High Hazard Industries. Available at: http://unsworks.unsw.edu.au/fapi/datastream/unsworks:40553/SOURCE02?view=true (accessed: October 30, 2020).
13. Vasilyev V.I., Sulavko A.E., Borisov R.V., Zhumazhanova S.S. Identification of the Psychophysiological State of the User Based on Hidden Monitoring in Computer Systems. Scientific and Technical Information Processing. 2018. Vol. 45. Iss. 6. pp. 398–410. DOI: 10.3103/ S0147688218060096
14. Medvedeva N.A. Psychological Prevention of Industrial Injuries. Bezopasnost Truda v Promyshlennosti = Occupational Safety in Industry. 2021. № 1. pp. 73–78. (In Russ.). DOI: 10.24000/0409-2961-2021-1-73-78
DOI: 10.24000/0409-2961-2021-5-53-58
Year: 2021
Issue num: May
Authors:
  • Vishnevskiy D.A.
    Vishnevskiy D.A.
    Cand. Sci. (Eng.), Assoc. Prof., Pro-rector for Research, dimavish.79@mail.ru Donbas State Technical Institute, Alchevsk, Ukraine
  • Zhiltsov A.P.
    Zhiltsov A.P.
    Cand. Sci. (Eng.), Assoc. Prof., Head of the Department Lipetsk State Technical University, Lipetsk, Russia
  • Bocharov A.V.
    Bocharov A.V.
    Cand. Sci. (Eng.), Assoc. Prof. Lipetsk State Technical University, Lipetsk, Russia
  • Sotnikov A.L.
    Sotnikov A.L.
    Dr. Sci. (Eng.), Prof., Head of Research Department Donetsk National Technical University, Donetsk, Ukraine