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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">inbure</journal-id><journal-title-group><journal-title xml:lang="ru">Известия вузов. Инвестиции. Строительство. Недвижимость</journal-title><trans-title-group xml:lang="en"><trans-title>Izvestiya vuzov. Investitsii. Stroitelstvo. Nedvizhimost</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2227-2917</issn><issn pub-type="epub">2500-154X</issn><publisher><publisher-name>Irkutsk National Research Technical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21285/2227-2917-2025-3-442-453</article-id><article-id custom-type="edn" pub-id-type="custom">KYBLKH</article-id><article-id custom-type="elpub" pub-id-type="custom">inbure-348</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>СТРОИТЕЛЬСТВО</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>CONSTRUCTION</subject></subj-group></article-categories><title-group><article-title>Сравнительный анализ эффективности способов оценки выполненных строительных работ по облаку точек</article-title><trans-title-group xml:lang="en"><trans-title>Comparative analysis of the effectiveness of methods for evaluating completed construction work using a point cloud</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4301-3202</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Исупов</surname><given-names>Н. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Isupov</surname><given-names>N. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Исупов Никита Сергеевич, аспирант</p><p>620002, г. Екатеринбург, ул. Мира, 17</p><p>Author ID: 1167047</p></bio><bio xml:lang="en"><p>Nikita S. Isupov, Postgraduate Student</p><p>19 Mira St., Ekaterinburg 620002</p><p>Author ID: 1167047</p></bio><email xlink:type="simple">isupovn98@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7095-7161</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Фомин</surname><given-names>Н. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Fomin</surname><given-names>N. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Фомин Никита Игоревич, к.т.н., доцент, директор института строительства и архитектуры, заведующий кафедрой промышленного, гражданского строительства и экспертизы недвижимости</p><p>620002, г. Екатеринбург, ул. Мира, 17</p><p>Author ID: 241981</p></bio><bio xml:lang="en"><p>Nikita I. Fomin, Cand. Sci (Eng.), Associate Professor, Head of the Institute of Civil Engineering and Architecture, Head of the Department of Industrial and Civil Engineering and Estate Expertise</p><p>19 Mira St., Ekaterinburg 620002</p><p>Author ID: 241981</p></bio><email xlink:type="simple">ni.fomin@urfu.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Уральский федеральный университет имени первого президента России Б.Н. Ельцина</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Ural Federal University named after the First President of Russia B.N. Yeltsin</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>13</day><month>10</month><year>2025</year></pub-date><volume>15</volume><issue>3</issue><fpage>442</fpage><lpage>453</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Исупов Н.С., Фомин Н.И., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Исупов Н.С., Фомин Н.И.</copyright-holder><copyright-holder xml:lang="en">Isupov N.S., Fomin N.I.</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://inbure.elpub.ru/jour/article/view/348">https://inbure.elpub.ru/jour/article/view/348</self-uri><abstract><p>Масштабное использование цифровых возможностей технологии лазерного сканирования на этапах жизненного цикла строительного объекта ограничено рядом причин, среди которых можно отметить дефицит технологичных способов обработки результатов лазерного сканирования с последующей трансформацией полученного облака точек в цифровую исполнительную модель. В статье рассмотрен зарубежный и отечественный опыт практического использования облаков точек на этапе возведения строительного объекта, с возможностью верификации объемов выполненных работ на основе цифровой информационной модели. По результатам сравнительного анализа на примере несущего остова здания, выполненного в исполнительной и проектной информационных моделях, был выявлен общий недостаток известных методов для создания и определения на основе облаков точек объемов выполненных работ. В статье предлагается решение, устраняющее обнаруженный недостаток. Показаны преимущества предложенного способа, по сравнению с известными, на примере определения объема монолитной железобетонной стены гражданского здания. Выявлено расхождение в оценке выполненных объемов конструкции, полученных с использованием различных способов. Предложенный способ подсчета объемов по облаку точек позволяет повысить прозрачность управления на этапах жизненного цикла строительного объекта, обеспечивает более рациональное распределение материальных и трудовых ресурсов, повышает качество строительного контроля, а также достоверность исполнительной документации.</p></abstract><trans-abstract xml:lang="en"><p>The large-scale use of digital capabilities of laser scanning technology at the stages of the life cycle of a construction facility is limited by a number of reasons, among which it is possible to note the lack of technological methods for processing laser scanning results with the subsequent transformation of the resulting point cloud into a digital executive model. The article considers the foreign and domestic experience of practical use of point clouds at the stage of construction of a construction object, with the possibility of verifying the volume of completed work based on a digital information model. Based on the results of a comparative analysis using the example of the load-bearing skeleton of a building made in the executive and design information models, a general disadvantage of known methods for creating and determining the volume of work performed based on point clouds was identified. The article proposes a solution that eliminates the discovered flaw. The advantages of the proposed method are shown, in comparison with the known ones, using the example of determining the volume of a monolithic reinforced concrete wall of a civil building. A discrepancy was revealed in the assessment of the completed volumes of the structure obtained using various methods. The proposed method of calculating volumes using a point cloud makes it possible to increase the transparency of management at the stages of the life cycle of a construction facility, ensures a more rational distribution of material and labor resources, improves the quality of construction control, as well as the reliability of executive documentation.</p><p> </p></trans-abstract><kwd-group xml:lang="ru"><kwd>способ оценки</kwd><kwd>лазерное сканирование</kwd><kwd>облако точек</kwd><kwd>исполнительная цифровая модель</kwd><kwd>фактический объем работ</kwd><kwd>тесселяционная сеть</kwd></kwd-group><kwd-group xml:lang="en"><kwd>assessment method</kwd><kwd>laser scanning</kwd><kwd>building structure</kwd><kwd>point cloud</kwd><kwd>as-built digital model</kwd><kwd>actual scope of work</kwd><kwd>tessellation network</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">Bariczova G., Erdelyi J., Honti R., Tomek L. Wall Structure Geometry Verification Using TLS Data and BIM Model // Applied Sciences. 2021. Vol. 11. Iss. 24. P. 1–20. https://doi.org/10.3390/app112411804.</mixed-citation><mixed-citation xml:lang="en">Bariczova G., Erdelyi J., Honti R., Tomek L. Wall Structure Geometry Verification Using TLS Data and BIM Model. Applied Sciences. 2021;11(24):1-20. https://doi.org/10.3390/app112411804.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Могучев С.Б. Строительный контроль с использованием облака точек и информационной модели здания // Инженерный вестник Дона. 2022. № 6. С. 580–589. EDN: AORUME.</mixed-citation><mixed-citation xml:lang="en">Moguchev S.B. Building Control Using Point Cloud and Building Information Model. Engineering Journal of Don. 2022;6:580-589. (In Russ.). EDN: AORUME.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Young-Jin Cha, Wooram Choi, Büyüköztürk O. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks // Computer-Aided Civil and Infrastructure Engineering. 2017. Vol. 32. Iss. 5. P. 361–378. https://doi.org/10.1111/mice.12263.</mixed-citation><mixed-citation xml:lang="en">Young-Jin Cha, Wooram Choi, Büyüköztürk O. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks. Computer-Aided Civil and Infrastructure Engineering. 2017;32(5):361-378. https://doi.org/10.1111/mice.12263.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Гиря Л.В., Трофимов Г.П. Обследование памятников архитектуры с использованием современных технологий трехмерного сканирования // Вестник Томского государственного архитектурностроительного университета. 2022. Т. 24. № 6. С. 35–43. https://doi.org/10.31675/1607-1859-2022-24-6-35-43. EDN: KYKCUL.</mixed-citation><mixed-citation xml:lang="en">Girya L.V., Trofimov G.P. Laser 3D Scanning of Architectural Monuments. Journal of Construction and Architecture. 2022;24(6):35-43. (In Russ.). https://doi.org/10.31675/1607-1859-2022-24-6-35-43. EDN: KYKCUL.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Молоков П.В. Создание трехмерных моделей объектов историко-культурного наследия с использованием наземного лазерного сканирования и аэрофотосъемки // Экология. Экономика. Информатика. Серия: геоинформационные технологии и космический мониторинг. 2024. Т. 2. № 9. С. 55–63. https://doi.org/10.23885/2500-123X-2024-2-9-55-63. EDN: YBEUUA.</mixed-citation><mixed-citation xml:lang="en">Molokov P.V. Creation of 3D Models of Historical and Cultural Heritage Objects Using Terrestrial Laser Scanning and Aerial Photography. Ekologiya. Ekonomika. Informatika. Seriya: geoinformatsionnye tekhnologii i kosmicheskii monitoring. 2024;2(9):55-63. (In Russ.). https://doi.org/10.23885/2500-123X-2024-2-9-55-63. EDN: YBEUUA.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Sharif M., Rausch C., Ndiongue S., Haas C., Walbridge S. Using 3D Scanning for Accurate Estimation of Termination Points for Dimensional Quality Assurance in Pipe Spool Fabrication // International Journal of Industrialized Construction. 2021. Vol. 2. Iss. 1. P. 54–69. https://doi.org/10.29173/ijic253.</mixed-citation><mixed-citation xml:lang="en">Sharif M., Rausch C., Ndiongue S., Haas C., Walbridge S. Using 3D Scanning for Accurate Estimation of Termination Points for Dimensional Quality Assurance in Pipe Spool Fabrication. International Journal of Industrialized Construction. 2021;2(1):54-69. https://doi.org/10.29173/ijic253.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Курбанов О.А. Оценка перспектив применения наземного 3D-лазерного сканирования при строительно-монтажных работах нежилых зданий // Интернаука. 2024. № 20-1. С. 17–23. EDN: IDKEQL.</mixed-citation><mixed-citation xml:lang="en">Kurbanov O.A. Assessing The Prospects for The Application of Ground-Based 3D-Laser Scanning in NonResidential Building Construction Work. Internauka. 2024;20-1:17-23. (In Russ.). EDN: IDKEQL.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Al-Fugara A., Al-Adamat R., Al Haddad M., Al–Shawabkeh Y., El-Khalili M., Obaidat D. Using of Laser Scanning and Dense Stereo Matching for 3D Documentation and Virtual Reconstruction of the Ancient Sama Monastery/Jordan // International Journal of Remote Sensing Applications. 2016. Vol. 6. P. 19–29. https://doi.org/10.14355/ijrsa.2016.06.003.</mixed-citation><mixed-citation xml:lang="en">Al-Fugara A., Al-Adamat R., Al Haddad M., Al–Shawabkeh Y., El-Khalili M., Obaidat D. Using of Laser Scanning and Dense Stereo Matching for 3D Documentation and Virtual Reconstruction of the Ancient Sama Monastery/Jordan. International Journal of Remote Sensing Applications. 2016;6:19-29. https://doi.org/10.14355/ijrsa.2016.06.003.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Castellazi G., DʼAltri A.M., Bitelli G., Selvaggi I., Lambertini A. From Laser Scanning to Finite Element Analysis of Complex Buildings by Using a Semi-Automatic Procedure // Sensors. 2015. Vol. 15. Iss. 8. P. 18360–18380. https://doi.org/10.3390/s150818360.</mixed-citation><mixed-citation xml:lang="en">Castellazi G., DʼAltri A.M., Bitelli G., Selvaggi I., Lambertini A. From Laser Scanning to Finite Element Analysis of Complex Buildings by Using a Semi-Automatic Procedure. Sensors. 2015;15(8):18360-18380. https://doi.org/10.3390/s150818360.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Fan Xie, Xiao Pan, Yang T.Y., Ernewein B., Minghao Li, Robinson D. A Novel Computer Vision and Point Cloud-Based Approach for Accurate Structural Analysis of a Tall Irregular Timber Structure // Structures. 2024. Vol. 70. P. 1–12. https://doi.org/10.1016/j.istruc.2024.107697.</mixed-citation><mixed-citation xml:lang="en">Fan Xie, Xiao Pan, Yang T.Y., Ernewein B., Minghao Li, Robinson D. A Novel Computer Vision and Point Cloud-Based Approach for Accurate Structural Analysis of a Tall Irregular Timber Structure. Structures. 2024;70:1-12. https://doi.org/10.1016/j.istruc.2024.107697.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Justo A., Lamas D., Sanchez-Rodriguez A., Soilan M., Riveiro B. Generating IFC-Compliant Models and Structural Graphs of Truss Bridges from Dense Point Clouds // Automation in Construction. 2023. Vol. 149. P. 1–15. https://doi.org/10.1016/j.autcon.2023.104786.</mixed-citation><mixed-citation xml:lang="en">Justo A., Lamas D., Sanchez-Rodriguez A., Soilan M., Riveiro B. Generating IFC-Compliant Models and Structural Graphs of Truss Bridges from Dense Point Clouds. Automation in Construction. 2023;149:1-15. https://doi.org/10.1016/j.autcon.2023.104786.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Yunping Fang, Mitoulis S.-A., Boddice D., Jialiang Yu, Ninic J. Scan-To-BIM-To-Sim: Automated Reconstruction of Digital and Simulation Models from Point Clouds with Applications On Bridges // Results in Engineering. 2025. Vol. 25. P. 1–21. https://doi.org/10.1016/j.rineng.2025.104289.</mixed-citation><mixed-citation xml:lang="en">Yunping Fang, Mitoulis S.-A., Boddice D., Jialiang Yu, Ninic J. Scan-To-BIM-To-Sim: Automated Reconstruction of Digital and Simulation Models from Point Clouds with Applications On Bridges. Results in Engineering. 2025;25:1-21. https://doi.org/10.1016/j.rineng.2025.104289.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Jingdao Chen, Yong K. Cho, Jun Ueda Sampled-Point Network for Classification of Deformed Building Element Point Clouds // IEEE International Conference on Robotics and Automation (ICRA). 2018. P. 2164–2169. https://doi.org/10.1109/ICRA.2018.8461095.</mixed-citation><mixed-citation xml:lang="en">Jingdao Chen, Yong K. Cho, Jun Ueda Sampled-Point Network for Classification of Deformed Building Element Point Clouds. IEEE International Conference on Robotics and Automation (ICRA). 2018:2164-2169. https://doi.org/10.1109/ICRA.2018.8461095.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Jingdao Chen, Yong K. Cho Point-to-point Comparison Method for Automated Scan-vs-BIM Deviation Detection // Proceedings of 17th International Conference on Computing in Civil and Building Engineering. 2018. P. 1–9.</mixed-citation><mixed-citation xml:lang="en">Jingdao Chen, Yong K. Cho Point-to-point Comparison Method for Automated Scan-vs-BIM Deviation Detection. Proceedings of 17th International Conference on Computing in Civil and Building Engineering. 2018:1-9.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Богданов А.Н., Алешутин И.А. Наземное лазерное сканирование в строительстве и BIMтехнологиях // Известия Казанского государственного архитектурно-строительного университета. 2018. № 4. С. 326–332. EDN: VQTQVG.</mixed-citation><mixed-citation xml:lang="en">Bogdanov A.N., Aleshutin I.A. Land Laser Scanning in Construction and BIM-Technologies. News of the Kazan State University of Architecture and Engineering. 2018;4:326-332. (In Russ.). EDN: VQTQVG.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Вареник К.А., Вареник А.С., Храмов Д.Д., Чамеев А.С. Создание цифровой информационной модели Георгиевского собора Юрьева монастыря на основе результатов лазерного сканирования и фотограмметрии // Перспективы науки. 2023. № 4. С. 80–86. EDN: AIMLVR.</mixed-citation><mixed-citation xml:lang="en">Varenik K.A., Varenik A.S., Khramov D.D., Chameev A.S. Creation of Digital Models of St. George's Cathedral of the Yuryev Monastery Using the Results of Laser Scanning and Photogrammetry. Science Prospects. 2023;4:80-86. (In Russ.). EDN: AIMLVR.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Мелин М.А., Бреус Н.Л. Преимущества цифрового документооборота при подготовке и ведении исполнительной документации // Вестник Евразийской науки. 2022. Т. 14. № 3. С. 1–11. EDN: XSJWWX.</mixed-citation><mixed-citation xml:lang="en">Melin M.A., Breus N.L. Advantages of Digital Document Management in The Preparation and Maintenance of Executive Documentation. The Eurasian Scientific Journal. 2022;14(3):1-11. (In Russ.). EDN: XSJWWX.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Фёдоров В.С., Тюменцев А.И. Геоинформационное и дистанционное обеспечение маркшейдерских съемок карьеров малой и средней глубины на базе беспилотных летательных аппаратов (на примере районов Иркутской области) // Проблемы разработки месторождений углеводородных и рудных полезных ископаемых. 2023. Т. 2. С. 87–92. EDN: NFIUKG.</mixed-citation><mixed-citation xml:lang="en">Fedorov V.S., Tyumentsev A.I. Geoinformation and Remote Support for Mine Surveying of Shallow and Medium-Depth Quarries Using Unmanned Aerial Vehicles (Using The Example of Irkutsk Region Districts). Problemy razrabotki mestorozhdenii uglevodorodnykh i rudnykh poleznykh iskopaemykh. 2023;2:87-92. (In Russ.). EDN: NFIUKG.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Soomin Lee, Jung Yeoul Bae, Sharafat A., Jongwon Seo Waste Lime Earthwork Management Using Drone and BIM Technology for Construction Projects: The Case Study of Urban Development Project // KSCE Journal of Civil Engineering. 2024. Vol. 28. Iss. 2. P. 517–531. https://doi.org/10.1007/s12205-023-1245-z.</mixed-citation><mixed-citation xml:lang="en">Soomin Lee, Jung Yeoul Bae, Sharafat A., Jongwon Seo Waste Lime Earthwork Management Using Drone and BIM Technology for Construction Projects: The Case Study of Urban Development Project. KSCE Journal of Civil Engineering. 2024;28(2):517-531. https://doi.org/10.1007/s12205-023-1245-z.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
