Optimization of the industrial enterprise infrastructure taking into account the statistical weight of objects
Keywords:
optimization of industrial production, statistical weight of the object, the least squares method, optimization of the energy supply system, water disposal system, industrial safetyAbstract
This article analyzes the optimization of industrial production, carried out based on the least squares method, taking into account the statistical weight of each production facility. Using this method, the optimization of the power supply and wastewater disposal system, the ventilation system and the transport system of an industrial enterprise is considered. It is shown that when determining the statistical weight, it is advisable to use the most significant characteristics of objects. Thus, the optimization of the power supply system of an industrial enterprise, using water vapor as an energy carrier, made it possible to reduce friction pressure losses in the steam line by 18% and increase the technical and economic indicators of the process. This result is due to the fact that when calculating the statistical weight of the object (apparatus), the value of the water vapor consumption in this apparatus was reasonably used. The higher the steam consumption, the higher the statistical weight of the object. Calculations have shown that as a result of optimization of the drainage system of the enterprise, the hydraulic resistance of the drain due to friction is reduced by 10% and, as a result, its throughput increases. Optimization of the supply ventilation system based on the least squares method led to a 13% decrease in the hydraulic resistance of the air duct due to friction and to a decrease in power consumption for air supply, while the statistical weight of the object was set depending on the air flow rate in a particular room. The method of least squares, taking into account the statistical weight of objects, also made it possible to determine the optimal location of checkpoints for the personnel of an industrial enterprise in order to reduce the time spent by personnel in the danger zone. In determining the statistical weight of each facility, in this case, the number of maintenance personnel at the facility was used. The higher the number of personnel, the higher the statistical weight of the object (workshop). Thus, it is shown that the least squares method, taking into account the statistical weight of objects, is a universal method that allows you to optimize various aspects of industrial production.
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