The article provides a classification of factors affecting the efficiency of the DVRE system in operating conditions in mountain quarries. A detailed classification of factors affecting the reliability of mining heavy-duty dump trucks operating in mining quarries for such groups of features as design, technological, operational and road-climatic is provided. In addition, the article provides a classification of factors based on controllability. To assess the influence of the stochastic nature of external influences that determine the dynamics of the interaction of the vehicle with the roadway, rational methods based on probability theory are substantiated. Three of them are recommended for an adequate assessment of the influence of external influences on the output indicators of a career heavy-duty dump truck, in particular for evaluating the process of interaction of a vehicle with a roadbed, which is probabilistic in nature. Among the recommended estimation methods are included such as the method of approximating the external load with a periodic function such as a sinusoid with certain values of the amplitude and period of oscillation, the method of expanding the periodic function in Fourier series and the probabilistic-statistical method, which is based on taking into account the action of many random factors characterized by a stable frequency.
В данной статье рассмотрена концептуальная модель оценки эффективности системы «водитель-автомобиль-дорога-среда» (ВАДС). Обоснована концептуальность предлагаемой модели исследования системы ВАДС. Имеется достаточно исследований, связанных с оценкой и повышением надежности системы ВАДС. Однако не всегда систему ВАДС можно комплексно характеризовать ее надежностью. Более важным показателем, характеризующим систему ВАДС, можно считать ее эффективность, а надежность системы ВАДС остается основополагающим фактором оценки ее эффективности. Предлагается исследовать эффективность системы ВАДС на основе фундаментальных законов природы. Как и для многих случаев, для оценки эффективности системы ВАДС целесообразным является применение закона сохранения, преобразования и передачи энергии. Систему ВАДС можно отнести к категории большой и сложной. Она содержит неоднозначные отношения и закономерности взаимосвязи между ее элементами. Ввиду многокритериальности системы ВАДС процессы, протекающие в ней, имеют стохастический характер. Система ВАДС отнесена к категории сложной из-за ее многомерности, многообразия природы элементов, связей, разнородности структуры, а также из-за того, что она функционирует в условиях существенной неопределенности воздействия среды. Ее сложность усугубляется случайным характером изменения ее показателей. В данной модели оценки эффективности системы ВАДС учитывается сложный стохастический характер преобразования и передача энергии внутри конкретной подсистемы и между подсистемами. Следовательно, для данного случая предлагается применять вероятностно-статистические методы оценки эффективности системы ВАДС. В статье предлагается дифференциальное уравнение расчета эффективности системы ВАДС с учетом особенностей условий эксплуатации большегрузных автомобилей в горных и высокогорных карьерах. Ключевые слова: системный подход, системный анализ, система ВАДС, эффективность системы ВАДС, надежность системы ВАДС, концептуальная модель.
The article provides an assessment of the factors affecting the reliability of the DCRE system in mountain conditions. A more detailed classification of factors affecting the reliability of the DCRE system in mountain conditions is given for such groups of features as design and technological, operational and road-climatic. In addition, the article gives a classification of factors affecting the reliability of the DCRE system in mountain conditions based on controllability. In both classifications, particular importance is given to such factors as altitude, the reliability structure of the elements of the DCRE system, the reliability structure of the elements of the car, the subsystems of the DCRE system, the probabilistic nature of the influence of external influences on the elements of the car, the types and frequency of maneuvers, their dynamism, etc. The specifics of the influence of the main factors determining the reliability and durability of heavy-duty mining car in difficult and extreme conditions of cargo transportation in mountain conditions are analyzed and justified. To assess the influence of the stochastic nature of external influences that determine the dynamics of the interaction of the car with the roadway, depending on the sample size, the nature of the process, the state of the object under study and other factors, the most rational methods based on probability theory are substantiated. Three of them are recommended for an adequate assessment of the impact of external influences on the output indicators of the car, in particular to assess the process of interaction of the car with the roadbed, which has a probabilistic character. Among the recommended estimation methods are included such methods as the method of approximating the external load with a periodic function such as a sinusoid with certain values of the amplitude and period of oscillation, the method of expanding the periodic function in Fourier series and the probabilistic-statistical method, which is based on taking into account the action of many random factors characterized by stable frequency.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.