2411-3336 2541-9404 Записки Горного института Journal of Mining Institute Санкт-Петербургский горный университет императрицы Екатерины ΙΙ Empress Catherine II Saint Petersburg Mining University 10.31897/PMI.2022.75 BGJLGA pmi-15728 https://pmi.spmi.ru/pmi/article/view/15728 Геотехнология и инженерная геология Geotechnical Engineering and Engineering Geology Strategy of mine ventilation control in optimal mode using fuzzy logic controllers Стратегия управления проветриванием рудника в оптимальном режиме с использованием аппарата нечеткой логики Kashnikov Aleksei V. Кашников А. В. Kashnikov Aleksei V. alexey.kashnikov@gmail.com 0000-0002-3872-5862 Горный институт Уральского отделения РАН (Пермь, Россия) Mining Institute of the Ural Branch of the RAS (Perm, Russia) Kruglov Yuri V. Круглов Ю. В. Kruglov Yuri V. aerolog@list.ru 0000-0003-0977-7484 Горный институт Уральского отделения РАН (Пермь, Россия) Mining Institute of the Ural Branch of the RAS (Perm, Russia) 16 03 2023 2023 262 594 605 21 01 2022 14 11 2022 28 08 2023 © 2023 А. В. Кашников, Ю. В. Круглов © 2023 Aleksei V. Kashnikov, Yuri V. Kruglov 2023 А. В. Кашников, Ю. В. Круглов Aleksei V. Kashnikov, Yuri V. Kruglov Эта статья доступна по лицензии Creative Commons Attribution 4.0 International (CC BY 4.0) This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0) https://pmi.spmi.ru/pmi/article/view/15728

Рассматриваются вопросы, которые связаны с повышением эффективности систем автоматического управления проветриванием рудников, обеспечивающих регулирование подачи воздуха в шахту в соответствии с потребностью. В ходе испытаний такой системы в руднике 3РУ ОАО «Беларуськалий» выявлены недостатки ее существующей реализации, связанные с некорректным выбором самого труднопроветриваемого направления. Продемонстрированы возможности реализации стратегии управления, при которой система автоматически определяет оптимальную конфигурацию режимов работы вентиляторов и регуляторов. В качестве альтернативы реализованным алгоритмам предлагается использование аппарата нечеткого управления для учета нелинейности зависимости входных и выходных параметров вентиляционного оборудования и задания условий оптимального режима работы системы в декларативной форме. Для оценки эффективности предлагаемого подхода проанализированы данные имитационного моделирования текущего режима проветривания и перехода из одного режима проветривания в другой с сопоставлением с фактическими данными работы системы. Результаты моделирования показывают, что применение модернизированной схемы управления вентилятором главного проветривания на основе нечеткой логики в рамках реализации систем автоматического управления проветриванием позволяет исключить возможность дефицита свежего воздуха на регулируемых направлениях его движения, а также избыточное энергопотребление вентилятора главного проветривания.

The issues related to improving the efficiency of automatic ventilation control systems of mines that regulate the air supply to the mine in accordance with the need are considered. During the tests of such a system in the 3RU mine of OAO Belaruskali, the shortcomings of its existing, implementation, associated with the incorrect choice of the most difficult-to-ventilate direction, were revealed. The possibilities of implementing a control strategy, in which the system automatically determines the optimal configuration of the operating modes of fans and regulators, are demonstrated. As an alternative to the implemented algorithms, it is proposed to use a fuzzy control device to account for the nonlinearity of the dependence of the input and output parameters of ventilation equipment and to set the conditions for the optimal operating mode of the system in a declarative form. To assess the effectiveness of the proposed approach, the data of simulation modeling of the current ventilation mode and the transition from one ventilation mode to another are analyzed with comparison with the actual data of the system operation. The simulation results show that the use of an upgraded control scheme for the main ventilation fan based on fuzzy logic in the implementation of automatic ventilation control systems makes it possible to eliminate the possibility of a shortage of fresh air in the regulated directions of its movement, as well as excessive power consumption of the main ventilation fan.

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