Influence Of The Human-Machine Systems (HMS) Operation Mode On The Increase Of Grain-Harvesting Aggregates Productivity
Igor E. Lipkovich. (),
Irina V. Egorova,
Nadezhda V. Petrenko and
Anna S. Gayda
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Igor E. Lipkovich.: Department of Technospheric Safety and Physics, Azov-Black Sea Engineering Institute of Don State Agrarian University, 21 Lenin Str.,Zernograd, Russian Federation
Irina V. Egorova: Department of Technospheric Safety and Physics, Azov-Black Sea Engineering Institute of Don State Agrarian University, 21 Lenin Str., Zernograd, Russian Federation
Nadezhda V. Petrenko: Department of Technospheric Safety and Physics, Azov-Black Sea Engineering Institute of Don State Agrarian University, 21 Lenin Str., Zernograd, Russian Federation
Anna S. Gayda: Department of Technical Service in the Agro-Industrial Complex (AIC), Luhansk National Agrarian University, 1 gorodok LNAU, Luhansk, Ukraine
Journal of Mechanical Engineering Research & Developments (JMERD), 2019, vol. 42, issue 3, 10-14
Abstract:
The article is devoted to the development of optimal operation modes of grain-harvesting aggregates, and the mechanizer is presented as an operator of the human-machine system (HMS). The block schematic diagram describes the HMS and the cybernetic human-machine model, as well as the scheme of external and internal human-machine-external interactions; in this scheme the connections are described. With the help of two graphs, the dynamics of human performance during the day and the change in working capacity during the work shift are presented, indicating the stages of increasing working capacity, stable working capacity and decrease in working capacity. Based on this, variants of operation modes of technological aggregates have been developed. Graphs of energy expenditures by a human-operator are given for various operation modes of organizational HMS, and the tables offer operators’ schedules at 6 hour, 9 hour and 12 hour shifts with a main cycle of 56 shifts. In summary, conclusions on the temporary impact of the operation mode on the productivity of grain-harvesting aggregates are presented.
Keywords: Human-machine; working capacity; labor process; per hour output; grain-harvesting aggregate (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zjmerd:v:42:y:2019:i:3:p:10-14
DOI: 10.26480/jmerd.03.2019.10.14
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