COMPARISON OF THE SOIL RADIOACTIVE AND HEAVY METALS POLLUTION WITH PHYSIOLOGICAL PARAMETERS OF TEST PLANTS AT THE FACILITIES OF SUKHACHEVSKY INDUSTRIAL SITE

The work aimed to assess the impact of Baza S uranium ore storage site and Sukhachevskoye uranium mill tailing impoundment on physiological parameters of test plants

Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing Plant

The problem evaluated in this study is related to the optimization of a budget of an industrial enterprise using simulation methods of the production process. Our goal is to offer a universal and straightforward methodology for simulating a production budget at any level of complexity by presenting it in a specific form. The calculation of such production schemes, in most enterprises, is currently done manually, which significantly limits the possibilities for optimization. This article proposes a model based on the Monte Carlo method to automate the budgeting process. The application of this model is described using an example of a typical meat processing enterprise. Approbation of the model showed its high applicability and the ability to transform the process of making management decisions and the potential to increase the profits of the enterprise, which is unattainable using other methods. As a result of the study, we present a methodology for modeling industrial production that can significantly speed up the formation and optimization of an enterprise’s budget. In our demonstration case, the profit increased by over 30 percentage points

Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing Plant

The problem evaluated in this study is related to the optimization of a budget of an industrial enterprise using simulation methods of the production process. Our goal is to offer a universal and straightforward methodology for simulating a production budget at any level of complexity by presenting it in a specific form. The calculation of such production schemes, in most enterprises, is currently done manually, which significantly limits the possibilities for optimization. This article proposes a model based on the Monte Carlo method to automate the budgeting process. The application of this model is described using an example of a typical meat processing enterprise. Approbation of the model showed its high applicability and the ability to transform the process of making management decisions and the potential to increase the profits of the enterprise, which is unattainable using other methods. As a result of the study, we present a methodology for modeling industrial production that can significantly speed up the formation and optimization of an enterprise’s budget. In our demonstration case, the profit increased by over 30 percentage points

Intelligent Weight Machines with Load Adjustment Based on Servo Drive (Project Under Development)

Цель исследования – создание тренажера «нового поколения», функционал которого направлен на получение объективной информации (цифрового контроля) о выполняемой нагрузке, реакциях сердечно-сосудистой системы и опорно-двигательного аппарата во время физических упражнений. Был проведен патентный поиск, анализ публикаций, маркетинговые исследования и три научно-исследовательские опытно-конструкторские работы. Были сформированы технические требования к «интеллектуальным» силовым тренажерам. На базе тренажера «Гравитрон» созданы два прототипа, в которых грузоблочная система заменена на систему, состоящую из сервопривода и компонентов системы управления. Для контроля биомеханики движения был разработан прототип стабилометрической платформы, интегрированной в сиденье тренажера. Реализована функция биологической обратной связи, осуществляемая при помощи вывода на экран данных о положении центра давления в исходном положении и во время выполнения упражнений. Был создан прототип системы ЭКГ-мониторинга в I стандартном отведении, представляющий собой программно-аппаратный комплекс, встроенный в гриф силового тренажера. Первичные результаты свидетельствуют о технической возможности создания нового класса тренажерных устройств, обладающих функцией биологической обратной связи и функцией постоянного мониторинга состояния пользователя. Объединение нескольких интеллектуальных тренажеров в экосистему тренажерного зала позволит разработать принципиально новые подходы к тренировочному процессуThe study aims to create a new generation weight machine for obtaining objective information (digital control) about the performed load and the response of the cardiovascular system and the musculoskeletal system during exercise. Patent search, publication analysis, marketing research, and three research and development activities were carried out. Technical requirements for intelligent weight machines were formulated. Based on the Gravitron training machine, 2 prototypes were created, where traditional weight stacks were replaced by a system consisting of a servo drive and control system components. To control the biomechanics of movement, a prototype consisting of a force platform integrated into the seat of the weight machine was developed. Biofeedback is implemented by displaying data on the center of pressure in the initial position and during exercise. A prototype of an ECG monitoring system in standard lead I was created, which is software and hardware built into the bar of a weight machine. The primary results demonstrate the technical feasibility of creating a new class of training machines with biofeedback and continuous monitoring of the user’s state. Combining several intelligent machines into a single gym ecosystem will allow developing fundamentally new approaches to the training proces