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.

We consider the problem of providing acoustic safety at the machine-building enterprises, where manual pneumatic tools and electrical tools are widely used in assembly shops. As an example we considered the noise during operation of pneumatic tools, which are the most preferable from the point of view of ensuring electrical safety. The necessity of monitoring audiograms of operators performing assembly operations, repair and adjustment at the machine assembly lines is justified. We analyzed the types of the used pneumatic tools and their service life, measured the level of generated noise and compared the obtained data with the passport acoustic characteristics from manufacturer. As a result, we showed the need to take into account the operating characteristics of instrument while ensuring acoustic safety. The main criteria for acoustic safety are defined.

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.

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.