The paper presents an algorithm for modeling production and economic characteristics for obtaining crop products, with the help of which planning problems are solved using multi-level parametric programming methods under average and unfavorable operating conditions for commodity producers. Since time series of characteristics associated with the production of products can be described by trends to assess adverse events, an algorithm for their identification was used based on the construction of multi-level trends according to the idea of ​​​​the hierarchical structure of the time series. When using this algorithm, a sequence of local minima is formed from the original series, a trend is built, and levels located below this trend, called unfavorable events, are identified. The assessment of the probabilities of these events is determined by the distribution law, which describes a number of differences in actual data and trend values ​​of a sequence of local minima. In the absence of trends and considering series of characteristics in the form of random variables, statistical and physical criteria are applicable to identify unfavorable events. As such, it is proposed to use the average value of local minima. Of the adverse events received, the smallest of them are distinguished, which represent rare events. Based on the identified events and other characteristics, the problem of optimizing the production of agricultural products is formed, the solution of which allows us to obtain optimal production volumes in accordance with maximum incomes corresponding to the calculated probability of events. A comparative analysis of planning results under average conditions and taking into account unfavorable events shows the likely losses of commodity producers at the enterprise and municipal district level.

Keywords: parametric programming, trend, adverse event, production and economic characteristics, crop production, losses, risks

The article is devoted to the issue of improving the environmental safety of the construction industry by improving the systems of decreasing dust emissions by aspiration systems using a comprehensive dispersive analysis. There was proposed to develop a promising approach using the criteria of hydrodynamic similarity in the output functions of the complex analysis of variance to increase the efficiency of aspiration decreasing dust systems in this article. The article focuses on the environmental problems of building construction industry. The volume and different kinds of mixtures of bulk building materials and cements to produce various types of concrete construction units and materials are in stable demand every year. It means that average amount of dust particles substances in emissions at the manufacturing production of building materials every year too. The results of studies show that a significant content of fine particles, for example, 10 microns or less is concern in dust emissions systems of aspiration at the building construction enterprises. One of ways to increase the environmental safety is reduction of dust emissions to design dust capturing devices that have low values of slippage out from aspirations’ decreasing dust systems. It was achieved by special complex integrated analysis’ method of variance dust that applies hydrodynamic sedimentation of particles. It is the way to obtain distribution of dimensionless numerical complexes — the hydrodynamic similarity criteria for the dust studied samples. There presented results of experiment that gave more reliable approach to get evaluations of the complex analysis of particles sedimentation velocity’s distributions.

Keywords: Dust, building material, dust collector, cleaning, overshoot, analysis of variance, velocity, sedimentation, criterion, emission, atmosphere, dust removal, aspiration

The article is devoted to the approach to the development and design of effective dust collectors for the aspiration systems of the construction industry. It was proposed and implemented the study of the particle shape factors that determine the hydrodynamic features of gas flow around dust particles, for example, in the aspiration schemes, which are most spread and applied in the construction industry using the results of complex analysis of variance it this article. It was presented results of implementation hydrodynamic criteria in the output function of the analysis. The values’ meanings of the particle shape factors of the dusts’ particles were gained and obtained at the final stage of experiment. It was obtained regressions for particle shape factors as functions of hydrodynamic criteria. It was proposed dependences to clarify the particle sedimentation-growth velocities taking into account the influence of the particle shape factors of the studied dust samples. It was allowed possibility to assess and obtain ranges of changes in the values’ meanings of particle shape factors. It was obtained more reliable results for determining the sedimentation values’ velocities of dust particle as a determining result of complex analysis of variance of particles also. The research results allow the development and design of dust collecting devices for cleaning emissions in dust removal systems of the aspiration schemes of the construction industry. These dust kinds of collector provides a significant reduction in dust leakage out from dust removal systems of the aspiration. This way become one of the highly effective prevents polluting ways that allows to improve environmental safety of the construction industry.

Keywords: Dust, building material, dust collector, cleaning, leakage, analysis of variance, velocity, sedimentation, criterion, emission, atmosphere, dust removal, aspiration