The aim of the work is to solve one of the important problems of sustainable development of mountain areas, providing for the development of mining enterprises of high-performance, intelligent automated production management systems (ACS P). The methods used in the work: the method of system analysis, methods of control theory technical objects, methods of mathematical modeling event situations, the method of the theory of fuzzy sets, etc. The results of the work. Based on the analysis of the literary sources chosen way forward for sustainable development of mountainous areas, providing for the introduction of mining enterprises with the purpose of meaningful ACS P improve both efficiency of production of these enterprises, and improve the environmental well-being of the territories adjacent to the enterprises. A flowchart of ACS P, as well as structural diagram and operation algorithm of ACS TP with improved functionality were developed. These ACS TP correspond to many conditions and mining development is a significant part of ACS P. Designed for ACS TP the intelligent subsystem elimination of production risks (SEPR), defining emergency situations. The algorithm of action and the functional scheme of this SEPR are offered. The work is also developed for the information support of ACS TP intelligent data collection system, one of the subtasks of which is the collection of information in digital form from control and measuring devices that perform the function of measuring the parameters of the process at all its stages. The main functions of the developed process control system are defined: identification of the probabilistic reasons causing production risks in technological processes; selection of the best solution to eliminate the current negative situation; selflearning, which predetermines the development of intellectual capabilities of the process control system, which is performed on the basis of fuzzy logic. An important part of the work is the development of blocks that are part of the SEPR, the development of the structure of their interaction and algorithms for their operation. The names of the blocks: a visualization block, the block decision, the processing unit prior decision, the evaluation unit situation unit classification of the situation, "say" about the importance and complexity of the tasks specified blocks. Conclusions. The main conclusion of this work is the high desirability of introducing developed APCS in mining enterprises to successfully meet the challenges of sustainable development of mountainous areas and infrastructure conservation in mountain regions. Other findings of the work are: the proposed work approaches to ensure the well-being of mountain territories and increased mining operations, including enhancing the safety of workers, apply for enterprises available in plain areas; the design principles of ACS TP, including those involving enhancement of intellectual ability (capacity) of the individual blocks of ACS TP, apply when designing ACS for many industries, with design of ACS for scientific research.
|Issue||2018, № 4 (Т. 10)|
|Key words||: mountain territories, sustainable development, mining enterprises, technological process, production risks, accident prevention, automated control system, subsystem of elimination of industrial accidents.|