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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="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">sapi</journal-id><journal-title-group><journal-title xml:lang="ru">Системный анализ и прикладная информатика</journal-title><trans-title-group xml:lang="en"><trans-title>«System analysis and applied information science»</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2309-4923</issn><issn pub-type="epub">2414-0481</issn><publisher><publisher-name>Belarusian National Technical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21122/2309-4923-2025-1-32-36</article-id><article-id custom-type="elpub" pub-id-type="custom">sapi-728</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="ru"><subject>Управление техническими объектами</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Management of technical objects</subject></subj-group></article-categories><title-group><article-title>Анализ работы алгоритма обработки изображения солнечной панели для оценки ее запыленности</article-title><trans-title-group xml:lang="en"><trans-title>Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness</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>Альбагуш</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Albagoush</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Альбагуш A.A., аспирант БНТУ; начальник отдела коммуникаций в General Electricity Company в Ливии</p><p>г. Минск</p></bio><bio xml:lang="en"><p>Albagoush A.A. is pursuing his PhD in Computer Engineering in Belarusian National Technical University. He is currently working as head of the communications department at the General Electricity Company of Libya. </p></bio><email xlink:type="simple">povt@bntu.by</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Белорусский национальный технический университет</institution><country>Беларусь</country></aff><aff xml:lang="en"><institution>Belarusian National Technical University</institution><country>Belarus</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>04</day><month>04</month><year>2025</year></pub-date><volume>0</volume><issue>1</issue><fpage>32</fpage><lpage>36</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Альбагуш А.А., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Альбагуш А.А.</copyright-holder><copyright-holder xml:lang="en">Albagoush A.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" 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://sapi.bntu.by/jour/article/view/728">https://sapi.bntu.by/jour/article/view/728</self-uri><abstract><p>Солнечные электростанции обычно располагаются в пустынях, где количество падающей солнечной энергии максимально. Песчаные бури, мелкие животные и птицы, оставляющие помет, загрязняют поверхности солнечных панелей, что приводит к снижению выработки энергии панелями. Автором разработан алгоритм обработки изображения панели для оценки степени снижения ее выходной мощности из-за загрязнения и принятия решения об очистке панели. В данной статье представлены результаты анализа разработанного алгоритма при различных условиях освещенности солнечной панели.</p></abstract><trans-abstract xml:lang="en"><p>Solar power plants are usually located in deserts, where the amount of incident solar energy is maximum. Sandstorms, small animals and birds that leave droppings contaminate the surfaces of solar panels, which leads to a decrease in the panels' power generation. The author has developed an algorithm for processing the panel image to estimate the degree of its output power reduction due to contamination and to make a decision for panel cleaning. This article presents the results of the analysis of the developed algorithm under various solar panel illumination conditions.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>солнечное излучение</kwd><kwd>солнечные панели</kwd><kwd>засушливый климат</kwd><kwd>обработка изображений</kwd><kwd>накопление пыли</kwd><kwd>искусственный интеллект</kwd></kwd-group><kwd-group xml:lang="en"><kwd>solar radiation</kwd><kwd>solar panels</kwd><kwd>arid climate</kwd><kwd>image processing</kwd><kwd>dust accumulation</kwd><kwd>artificial intelligence</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">E. A. Yfantis and A. Fayed. A Camera System for Detecting Dust and Other Deposits on Solar Panels // European Journal of Applied Science. Vol. 2. No. 5. 2014. DOI: 10.14738/aivp.25.411</mixed-citation><mixed-citation xml:lang="en">E. A. Yfantis and A. Fayed. 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