Modeling development mechanism of intelligent innovation potential of mining engineers

Abstract

It is found that present-day mining engineers have a low and disbalanced intelligent innovation potential as compared with the Soviet-era specialists. It is of the current concern to reveal the intelligent innovation potential development mechanism of the engineers in order to stimulate innovative advancement of coal mining companies to keep the achieved level of their competitive abilities. Using the dramatic but successful innovation activity of Mining Engineer N. A. Chinakal as an example, the model of step-wise formation of cogni-creative and visen-volitive constituents of the intelligent innovation potential is constructed. The model visualizes the development mechanism and shows a clear skewness of the potential of present mining engineers toward the cogni-creative constituent. The unique level and balance of Chinakal’s innovation potential is demonstrated. The logics of engagement of an engineer’s brainpower resources and the contents of transition stages in mental work is displayed by the model of orbiting disclosure of a mining engineer’s brainpower resources during an innovation process. The model explains how intellect grows and expands while creating and implementing an inno-vation. Three zones, which are identified in the intelligent innovation potential of an engineer, illustrate the engineer’s possible positions and behavior in the course of industrial renovation. The stages of elaboration of an engineer’s innovation abilities and the contents of these stages along the way from an idea to an innovation are described. Incipience of special mental forces and accumulation of qualitative changes at the end of the first successful innovation cycle results in formation of the cumulative quality named the inn-experience. Multiplication of suc-cess in the next innovation cycles in different geological conditions ensures growth and enrich-ment of the inn-experience. Together with the accumulated package of put forward but unim-plemened inventions, as well as with the experience gained in commissioning of innovations proposed by other inventors, the inn-experience composes the intelligent innovation potential of an engineer. The developed models and algorithm present the mechanism of the intelligent innovation potential which is the high-value intangible assets for the self-improvement of an engineer and for the competitive recovery of a mining company.