The problems of neural network modeling of working conditions securing system while operating constructional equipment in permafrost zone are considered. Determining the temperature fields distribution on the soil depth on air temperature in regions with harsh climatic conditions will allow us to solve a number of engineering problems directed to creation of safe working conditions at construction equipment operation. As a first approximation temperature on the surface and in the depth of the upper layer of earth changes under the periodic law, following the change of air temperature during the year. With soil depth increasing the amplitude of temperature fluctuations decreases, but a random component related to weather conditions (the impact of which could be significant) is added to the periodic component caused by change of a season. In the article the mathematical model in the form of Stefan’s problem in which boundary conditions on earth surface are replaced with results of measurements is considered. Methods of neural network creation of this problem solution and results of computing experiments are given. The received results show that neural networks are the flexible tool, allowing to consider featuring of a task and all available information. Thus accuracy of results corresponds to accuracy of initial information. The additional information can be effectively used for specification of the required decision.
The problems of optimizing the selection of the best new model of technology are considered, based on an assessment of its functioning as part of the complex system. The composite indicator of the product technical level is proposed as such an assessment characteristic. It is represented by six basic components and can be used at all stages of the model development. Models and methods for calculating a generalized indicator of quality, novelty of technical solutions, functional and constructive organization, adaptability to advanced technology, reliability of a sample, its graphical representation based on classical methods of probability theory, expert and heuristic estimates, an ideal center, graph theory taking into account the functional cost analysis have been prepared.
An analytical data mining approach to the assessment of an occupational risks is proposed and based on the use of an injury safety indicator, which allows to determine the degree of safety (hazard) of the workplace, to carry out statistical processing of the results collected with its help, which will help with further planning of labour protection measures. The results of an occupational risk assessment with the use of an injury safety indicator make it possible to predict the levels of occupational risks at various workplaces, which makes it possible to develop the optimal management decisions for the preservation of the life and health of workers in enterprises. The prospect of using data mining methods in the tasks of labour protection management at an enterprise opens up the possibility of creating decision-making mechanisms that take into account the dynamic state of the working environment and make it possible to increase the validity of the choice of priority labour protection measures.
There is suggested an analytical approach to occupational safety management based on the use of a logico-statistical model for assessing occupational risks, which allows processing large sets of data for instrumental measurements of labor conditions. The results of processing information on the assessment of working conditions using a logico-statistical model allow us to predict the levels of occupational risks at various workplaces, which makes it possible to develop optimal management decisions for preserving the life and health of workers in enterprises. The prospect of using data mining methods in the tasks of OSH management at the enterprise opens up the possibility of creating decision-making mechanisms that take into considiration the dynamism of the working environment and make it possible to increase the validity of the choice of the priority of labor protection measures.
IMC mining company produces gold and silver. In mining operations that are carried out every day in the workplace, there must be dangers and risks. All these hazards are more related to the transport systems and transport used in the mining process. International mining company (IMC) underground mines definitely have operations division jobs with a high level of risk against work accidents, for example, maintenance of transport installations and the systems. Therefore, it is important to identify hazards, risk assessments, and determine the type of risk control in the section where work accidents are found. Hazard Identification and Risk Assessment Determining Control is a prevention program against fatal incidents. Risk Management at IMC is based on the Hazard Identification and Risk Assessment Determining Control (HIRADC) methodology which focuses on managing mining safety risks. This article aims to find out what the potential hazards and risks are contained in the work of the engineering and transport of underground mining division as well as provide preventive measures to reduce these risks.
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