The paper presents the use of fiber optic FBG strain sensors for analysis of deformations of machines and devices including those used in mining techniques. FBG strain sensors have many advantages over classic strain measurements using electro resistance strain gauges. They are characterized by a significant measurement accuracy of up to 1 mm, a service life of up to 30 years, the possibility of measuring large deformations of up to 8%, significant fatigue life, the possibility of building measurement networks and, something extremely important in mining – intrinsic safety, because the operating medium is white light. The entire measurement system based on the optical interrogator was also discussed. It enables conducting both static and dynamic measurements. The results of the strain research for an engineering machine, in which the loads had exceeded 800 T, were reported.
Effective execution of tasks by remote-controlled engineering machine is dependent on the ability to run a way the machine operator. This is possible through the development an interface for remote both manipulation and perception. The paper presents results of elaboration of two types of interface. Portable desktop machine to control the implementation of ad-hoc tasks and landline operator position to achieve long-term jobs that require precise control of two-piece machine equipment: manipulator and loading.
government aim to consolidate efforts by industry actors and knowledge producers and to provide financial support. Such an approach is in line with the strategic policy and has particular implications on the level of companies.
3 Current technological level of the Russian machine-building industries
In the scope of the current research, we consider machine-building industries broadly, including automobile, agriculture machinery, aircraft, heavy mechanical engineering, machine tool, power engineering, shipbuilding and transport machine-building industries. In the
TRIZ until his death in 1998. Further development of TRIZ was carried out by his successors at the TRIZ School of Inventions ( Cempel, 2013 ).
TRIZ is currently one of the most effective methodologies for so-called systematic innovation ( Chybowski & Chybowska, 2016a ). TRIZ is based on a solid empirical foundation of inventiveness, technical knowledge and the achievements of applied sciences (manufacturing engineering, machine construction and operation, materials engineering, technical physics, etc.). TRIZ relies on the use of tools to create and develop