Information and control elements of electric mining shovels

The analysis of history and logic of shoveling machinery development allows identifying the urgent objectives and major trends in improvement of control elements of electric mining shovels. The introduction of information technologies enables transition to the next stage in mining machine engineering based on intellectualization of management and on qualitative advance of automation, robotization and telecommunication facilities. The strategic program for fully automated mineral mining technology of Intelligent Surface Mine is currently implemented through modernization of all components of mechatronic mechanisms of shovels. The lead role in this process belongs to the information and control elements. The idea of engineering a new-generation shovel means designing a machine with large-scale control process management and with creation of an operator’s electronic brainwork associate capable to replace a team of executives. The shovel performance data after interpretation are accessible for all participants of control over life cycle of the machine. This can make it possible to elaborate new control principles for effectiveness, capacity and reliability of electric mining shovels. Degradation assessment, life prediction and hidden disfunction detection make a framework for the maintenance support to prevent emergency shutdowns and to reduce economic disbenefit due to unproductive time. Early detection of troubles ensures decreased risk of accidents, minimized down time, enhanced operational safety of personnel, maintenance cost saving, decreased replacement parts coverage and lower underwriting rates. The article gives the examples of new engineering solutions which ensure improved efficiency of mechatronic system in mining shovels.

Malafeev S. I., Malafeev S. S. Information and control elements of electric mining shovels. MIAB. Mining Inf. Anal. Bull. 2021;(4):33-45. [In Russ]. DOI: 10.25018/0236_ 1493_2021_4_0_33.

S.I. Malafeev, Dr. Sci. (Eng.), Professor, e-mail: simalafeev@gmail.com, Alexander and Nikolay Stoletovs Vladimir State University, 600000, Vladimir, Russia,
S.S. Malafeev, Cand. Sci. (Eng.), Lecturer, e-mail: Cepg87@gmail.com, Vladimir Polytechnic College, 600001, Vladimir, Russia.

S.I. Malafeev, e-mail: simalafeev@gmail.com.

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