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    <journal-meta>
      <journal-id journal-id-type="issn">2411-3336</journal-id>
      <journal-id journal-id-type="eissn">2541-9404</journal-id>
      <journal-title-group>
        <journal-title xml:lang="ru">Записки Горного института</journal-title>
        <journal-title xml:lang="en">Journal of Mining Institute</journal-title>
      </journal-title-group>
      <publisher>
        <publisher-name xml:lang="ru">Санкт-Петербургский горный университет императрицы Екатерины ΙΙ</publisher-name>
        <publisher-name xml:lang="en">Empress Catherine II Saint Petersburg Mining University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.31897/PMI.2022.77</article-id>
      <article-id custom-type="pmi" pub-id-type="custom">pmi-15903</article-id>
      <article-id pub-id-type="uri">https://pmi.spmi.ru/pmi/article/view/15903</article-id>
      <article-categories>
        <subj-group subj-group-type="section-heading" xml:lang="ru">
          <subject>Металлургия и обогащение</subject>
        </subj-group>
        <subj-group subj-group-type="section-heading" xml:lang="en">
          <subject>Metallurgy and concentration</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title xml:lang="en">Adaptive approach formation using machine vision technology to determine the parameters of enrichment products deposition</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Формирование адаптивного подхода с применением технологии машинного зрения для определения параметров осаждения продуктов обогащения</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="eastern">
            <surname>Romashev</surname>
            <given-names>Artem O.</given-names>
          </name>
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Ромашев</surname>
              <given-names>А. О.</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Romashev</surname>
              <given-names>Artem O.</given-names>
            </name>
          </name-alternatives>
          <email>romashev_ao@pers.spmi.ru</email>
          <contrib-id contrib-id-type="orcid">0000-0003-3210-8000</contrib-id>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <aff-alternatives id="aff1">
          <aff>
            <institution xml:lang="ru">Санкт-Петербургский горный университет (Россия)</institution>
          </aff>
          <aff>
            <institution xml:lang="en">Saint Petersburg Mining University (Russia)</institution>
          </aff>
        </aff-alternatives>
        <contrib contrib-type="author">
          <name name-style="eastern">
            <surname>Nikolaeva</surname>
            <given-names>Nadezhda V.</given-names>
          </name>
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Николаева</surname>
              <given-names>Н. В.</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Nikolaeva</surname>
              <given-names>Nadezhda V.</given-names>
            </name>
          </name-alternatives>
          <email>Nikolaeva_NV@pers.spmi.ru</email>
          <contrib-id contrib-id-type="orcid">0000-0001-7492-1847</contrib-id>
          <xref ref-type="aff" rid="aff2"/>
        </contrib>
        <aff-alternatives id="aff2">
          <aff>
            <institution xml:lang="ru">Санкт-Петербургский горный университет (Россия)</institution>
          </aff>
          <aff>
            <institution xml:lang="en">Saint Petersburg Mining University (Russia)</institution>
          </aff>
        </aff-alternatives>
        <contrib contrib-type="author">
          <name name-style="eastern">
            <surname>Gatiatullin</surname>
            <given-names>Bulat L.</given-names>
          </name>
          <name-alternatives>
            <name name-style="eastern" xml:lang="ru">
              <surname>Гатиатуллин</surname>
              <given-names>Б. Л.</given-names>
            </name>
            <name name-style="western" xml:lang="en">
              <surname>Gatiatullin</surname>
              <given-names>Bulat L.</given-names>
            </name>
          </name-alternatives>
          <email>mister.bulat2000@gmail.com</email>
          <contrib-id contrib-id-type="orcid">0000-0001-6947-1909</contrib-id>
          <xref ref-type="aff" rid="aff3"/>
        </contrib>
        <aff-alternatives id="aff3">
          <aff>
            <institution xml:lang="ru">Санкт-Петербургский горный университет (Россия)</institution>
          </aff>
          <aff>
            <institution xml:lang="en">Saint Petersburg Mining University (Russia)</institution>
          </aff>
        </aff-alternatives>
      </contrib-group>
      <pub-date pub-type="epub" iso-8601-date="2022-11-03">
        <day>03</day>
        <month>11</month>
        <year>2022</year>
      </pub-date>
      <pub-date date-type="collection">
        <year>2022</year>
      </pub-date>
      <volume>256</volume>
      <fpage>677</fpage>
      <lpage>685</lpage>
      <history>
        <date date-type="received" iso-8601-date="2022-06-20">
          <day>20</day>
          <month>06</month>
          <year>2022</year>
        </date>
        <date date-type="accepted" iso-8601-date="2022-09-06">
          <day>06</day>
          <month>09</month>
          <year>2022</year>
        </date>
        <date date-type="rev-recd" iso-8601-date="2022-11-03">
          <day>03</day>
          <month>11</month>
          <year>2022</year>
        </date>
      </history>
      <permissions>
        <copyright-statement xml:lang="ru">© 2022 А. О. Ромашев, Н. В. Николаева, Б. Л. Гатиатуллин</copyright-statement>
        <copyright-statement xml:lang="en">© 2022 Artem O. Romashev, Nadezhda V. Nikolaeva, Bulat L. Gatiatullin</copyright-statement>
        <copyright-year>2022</copyright-year>
        <copyright-holder xml:lang="ru">А. О. Ромашев, Н. В. Николаева, Б. Л. Гатиатуллин</copyright-holder>
        <copyright-holder xml:lang="en">Artem O. Romashev, Nadezhda V. Nikolaeva, Bulat L. Gatiatullin</copyright-holder>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0" xml:lang="ru">
          <license-p>Эта статья доступна по лицензии Creative Commons Attribution 4.0 International (CC BY 4.0)</license-p>
        </license>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0" xml:lang="en">
          <license-p>This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0)</license-p>
        </license>
      </permissions>
      <self-uri xlink:type="simple" xlink:href="https://pmi.spmi.ru/pmi/article/view/15903">https://pmi.spmi.ru/pmi/article/view/15903</self-uri>
      <abstract xml:lang="ru">
        <p>В работе сформирован адаптивный подход по автоматической инициализации кривой сгущения с использованием технологии машинного зрения, позволяющий с высокой точностью определять параметры материала, необходимые для проектирования сгустительных и осветлительных аппаратов. Разработано программное обеспечение, которое сделало возможным поиск координаты критической точки сгущения в автоматическом режиме. Проведенные исследования на двух пробах материалов (хвостах апатитсодержащих руд и золотосодержащего концентрата) позволили статистически доказать воспроизводимость получаемых результатов с использованием параметрических критериев Фишера и Бартлета. Установлено, что кривые осаждении с высокой точностью аппроксимируются моделью Вейбула, что в совокупности с кусочно-линейной аппроксимацией дает возможность формализовать методику определения координат критической точки. Найдены эмпирические коэффициенты модели Вейбула для двух проб, а также определены конечные разжижения и скорости осаждения исследуемых материалов.</p>
      </abstract>
      <abstract xml:lang="en">
        <p>In this paper, an adaptive approach has been developed for automatic initialization of the thickening curve using machine vision technology, which makes it possible to determine with high accuracy the material parameters necessary for the design of thickening and clarification apparatuses. Software has been developed that made it possible to search for the coordinates of the condensation critical point in automatic mode. Studies on two samples of materials (tailings of apatite-containing ores and gold-bearing concentrate) were carried out and made it possible to statistically prove the reproducibility of the results obtained using the parametric criteria of Fisher and Bartlett. It has been established that the deposition curves are approximated with high accuracy by the Weibull model, which, together with the piecewise linear approximation, makes it possible to formalize the method for determining the critical point coordinates. The empirical coefficients of the Weibull model for two samples are found, and the final liquefaction and settling rates of the studied materials are determined.</p>
      </abstract>
      <kwd-group xml:lang="ru">
        <title>Ключевые слова</title>
        <kwd>сгущение</kwd>
        <kwd>машинное зрение</kwd>
        <kwd>модель Вейбула</kwd>
        <kwd>осаждение</kwd>
        <kwd>критическая точка</kwd>
        <kwd>золотосодержащий концентрат</kwd>
        <kwd>хвосты</kwd>
        <kwd>расчет сгустителя</kwd>
      </kwd-group>
      <kwd-group xml:lang="en">
        <title>Keywords</title>
        <kwd>thickening</kwd>
        <kwd>machine vision</kwd>
        <kwd>Weibull model</kwd>
        <kwd>precipitation</kwd>
        <kwd>critical point</kwd>
        <kwd>gold concentrate</kwd>
        <kwd>tails</kwd>
        <kwd>thickener calculation</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body/>
  <back>
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