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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">gscience</journal-id><journal-title-group><journal-title xml:lang="en">Mining Science and Technology (Russia)</journal-title><trans-title-group xml:lang="ru"><trans-title>Горные науки и технологии</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-0632</issn><publisher><publisher-name>The National University of Science and Technology MISiIS (NUST MISIS)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17073/2500-0632-2016-2-31-42</article-id><article-id custom-type="elpub" pub-id-type="custom">gscience-25</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>BENEFICIATION AND PROCESSING OF NATURAL AND TECHNOGENIC RAW MATERIALS</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБОГАЩЕНИЕ, ПЕРЕРАБОТКА МИНЕРАЛЬНОГО И ТЕХНОГЕННОГО СЫРЬЯ</subject></subj-group></article-categories><title-group><article-title>Improving the intelligent methods of management of processes of enrichment on the basis of visiometrics analysis of the grade of the ore</article-title><trans-title-group xml:lang="ru"><trans-title>Совершенствование интеллектуальных методов управления процессами обогащения на основе визиометрического анализа сортности руды</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Морозов</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Morozov</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="en"><p>Professor</p></bio><email xlink:type="simple">dchmggu@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шек</surname><given-names>В. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Shek</surname><given-names>V. M.</given-names></name></name-alternatives><bio xml:lang="en"><p>Professor</p></bio><email xlink:type="simple">shek@geotwo.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Морозов</surname><given-names>Ю. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Morozov</surname><given-names>Ju. P.</given-names></name></name-alternatives><bio xml:lang="en"><p>Professor</p></bio><email xlink:type="simple">tails2002@inbox.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дэлгэрбат</surname><given-names>Лодой</given-names></name><name name-style="western" xml:lang="en"><surname>Delgerbat</surname><given-names>Lodoy</given-names></name></name-alternatives><bio xml:lang="en"><p>Chief Specialist at ACS</p></bio><email xlink:type="simple">delgerbat@erdenetmc.mn</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Национальный исследовательский технологический университет «МИСиС»<country>Россия</country></aff><aff xml:lang="en">The National University of Science and Technology MISiS<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Уральский государственный горный университет<country>Россия</country></aff><aff xml:lang="en">The Ural State Mining University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru">Совместное монголо-российское предприятие горно-обогатительный комбинат «Эрдэнэт»<country>Монголия</country></aff><aff xml:lang="en">Erdenet Mining Corporation, Mongolia<country>Mongolia</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2016</year></pub-date><pub-date pub-type="epub"><day>22</day><month>07</month><year>2016</year></pub-date><volume>0</volume><issue>2</issue><fpage>31</fpage><lpage>42</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Morozov V.V., Shek V.M., Morozov J.P., Delgerbat L., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Морозов В.В., Шек В.М., Морозов Ю.П., Дэлгэрбат Л.</copyright-holder><copyright-holder xml:lang="en">Morozov V.V., Shek V.M., Morozov J.P., Delgerbat L.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://mst.misis.ru/jour/article/view/25">https://mst.misis.ru/jour/article/view/25</self-uri><abstract><p>For the flotation process is effective using of open control loops, which are used as input parameter the ore quality. To determine the quality of ore is carried out on-line analysis of its elemental and mineral composition and structure. The basis of the operational analysis is the measurement of X-ray and visible light. To improve the accuracy of determining ore mineralogical composition, new techniques and facilities have been developed. At the conveyor ore analysis, special lighting systems were tested, using alternating focused and flat light fluxes. Such systems provide highly accurate in-stream measurements of ore properties. A special flatbed facility for optical spectrumbased estimation of fine-crushed ore has been developed, being incorporated into the existing system of ore sampling and analysis. Application of the flatbed facility renders possible a high accuracy of determining ore mineralogical composition. Modern systems for optical spectrum-based estimation of ore grade provide a basis for effective automated control of ore beneficiation processes, based on the principle of advanced ore grade control. The systems implemented at the "Erdenet" processing plant (Mongolia) contributed to increasing copper and molybdenum recovery.</p></abstract><trans-abstract xml:lang="ru"><p>Для технологического процесса флотации эффективно применение открытых контуров управления, которые используют в качестве входных параметров качество руды. Для определения качества руды проводится оперативный анализ ее вещественного и минерального состава, а также структуры. Основой оперативного анализа являются измерения в рентгеновской и видимой области спектра. Для повышения точности измерения минерального состава руды разработаны новые методики и устройства. При анализе руды на конвейере испытаны специальные системы освещения, использующие чередующиеся фокусированный и плоский световые потоки. Такие системы обеспечивают высокую точность измерений свойств руды на конвейере. Разработана специальная планшетная установка для визиометрического анализа мелкодробленой руды, встраиваемая в существующую систему отбора и анализа проб. Применение планшетной установки позволяет достичь высокой точности минералогического состава руды. Современные системы визиометрического анализа руды создают основу для эффективного автоматизированного управления процессами обогащения, построенного на принципе опережающего контроля сортности руды. Системы, реализованные на обогатительной фабрике «Эрдэнэт» (Монголия), способствовали увеличению извлечения меди и молибдена.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>обогащение руд</kwd><kwd>измельчение</kwd><kwd>флотация</kwd><kwd>автоматическое управление</kwd><kwd>алгоритм</kwd><kwd>оптимизация</kwd><kwd>определение сортности руды</kwd><kwd>визиомерический и рентгено-флюоресцентный анализ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>mineral processing</kwd><kwd>milling</kwd><kwd>flotation</kwd><kwd>automatic control</kwd><kwd>algorithm</kwd><kwd>optimization</kwd><kwd>estimation of ore grade</kwd><kwd>visible and RFA analysis</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Daniel Sbárbaro, René del Villar Advanced Control and Supervision of Mineral Processing Plants. – Springer-Verlag London Limited, 2010. – 332 p.</mixed-citation><mixed-citation xml:lang="en">Daniel Sbárbaro, René del Villar Advanced Control and Supervision of Mineral Processing Plants. – Springer-Verlag London Limited, 2010. – 332 p.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Hyotyniemi H., Ylinen R. 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