Тенденции развития науки и образования Контролируем жиры. О жире поговорим особо. В дневном рационе пожилых его должно быть 70-80 граммов. При этом необходимо помнить, что, кроме животных жиров (сливочного масла и жира, содержащегося в продуктах животного происхождениямясе, колбасе), каждый день надо съедать 20-30 граммов растительных маселподсолнечного, оливкового кукурузного или других. Придерживаться этого правила очень важно. Ведь все растительные масла богаты активными полиненасыщенными жирными кислотами, которые участвуют в нормализации липидного (жирового) обмена, способствуют выведению холестерина из организма, препятствуют его проникновению в сосудистую стенку и образованию в ней холестериновых отложений. Овощи-фрукты. Очень полезны сырые овощи и фрукты, соки из них, а также сухофрукты; они обеспечивают организм минеральными веществами. Это основные источники не только витаминов, но и клеточных оболочек, без которых невозможно нормальное пищеварение. В зимне-осенний период, когда овощей и фруктов мало, не пренебрегайте квашеной капустой: в ней аскорбиновая кислота сохраняется почти полностью. В ежедневное меню старайтесь включать лук и чеснок. Это важно! В них ученые обнаружили вещества, тормозящие развитие опухолей.

Modern mining enterprises operate in difficult mining and geological conditions that require preliminary consideration of a large number of production development options in order to select the optimal one. The complexity of the large systems under consideration makes it necessary to simulate production and economic processes simultaneously. The aim of the study is to develop a new approach to the processing of large amounts of information and forecasting harmful emissions from vehicles of the mining and processing complex, based on an analysis of the totality of field development parameters. Tasks: analysis of the problem of environmental pollution by vehicles of the mining and processing complex and determination of significant natural and technical factors affecting the emission of pollutants by vehicles during transportation of a useful component; study of the structure of the relationship between natural and technical factors and the values of emissions of harmful substances by road into the atmosphere. Research Methods. The methods used were fuzzy sets, statistical and factor analysis, the theory of multivariate optimization, numerical analysis, computer modeling and experimental modeling, and an application software package. Findings. The analysis of the relationship of technological factors of the main cycles and emission factors of harmful substances is carried out, a complex of mathematical models and methods has been created on the basis of research to improve the accuracy of the forecast for the emission of pollutants into the atmosphere by mining and processing complex vehicles.

The article presents a General principle for evaluating the norms of specific energy consumption rates for ore extraction at mining enterprises, including the determination of daily well penetration and conversion coefficients of specific consumption for individual operations. Specific norms of electric power consumption for excavating and drilling are determined according to the developed methods. Analyzing the nature of the waveforms, it can be concluded that the greatest energy consumption during excavation is accounted for by the scooping process. When comparing individual cycles on oscillograms, it is seen that at almost the same maximum power, equal to 0.465 MW, a significant difference in the energy consumed per cycle (from 4.9 to 8.2 MW·s) occurs due to different scooping times. The economic feasibility of improving the crushing of rock mass by explosion to reduce the specific cost of electricity was determined, which allowed us to conclude that it is not advisable to make additional investments in drilling and blasting operations in order to reduce electricity consumption. As for drilling machines, the average electrical power consumed by one machine is determined based on the results of measurements. The power consumption was recorded taking into account the shunting operations of the machine. By integrating the load curve using the averaged area method, the amount of electricity consumed by the machine per shift is obtained.

The subject of this work is the development of an algorithm for determining the start time of wells in the automatic re-activation mode to save power during peak hours. This measure is relevant for the consumer and for the energy-supplying organizations, because the redistribution of load on peak hours or night zones will provide the most economically balanced operation of the enterprise, and will allow the most efficient use of sources of electrical energy supply organization. The algorithm development will provide operational control and management of the operating mode of the considered equipment in automatic mode. Besides, this will reduce the influence of the human factor on the operation of these consumers and minimize deviations in the hourly planning of electricity consumption, as well as reduce the cost of paying for consumed power. The short-term prospect of implementing this development will ensure optimal power consumption of the periodic well stock during peak load hours, and, consequently, will provide savings in the material resources of the enterprise.