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dc.contributor.authorZhang, Linboru
dc.contributor.authorQi, Congru
dc.contributor.authorSong, Jiahuiru
dc.coverage.spatialМинскru
dc.date.accessioned2021-06-17T06:08:15Z
dc.date.available2021-06-17T06:08:15Z
dc.date.issued2021
dc.identifier.citationZhang, Linbo. 大数据技术对环境损害整治效果的研究 / Linbo Zhang, Cong Qi, Jiahui Song // II Китайско-белорусский молодежный конкурс научно-исследовательских и инновационных проектов : сборник материалов конкурса, 20-21 мая 2021 г. / Белорусский национальный технический университет ; Научно-технологический парк БНТУ «Политехник» ; Институт Конфуция по науке и технике БНТУ. – Минск : БНТУ, 2021. – С. 54.ru
dc.identifier.urihttps://rep.bntu.by/handle/data/94861
dc.description.abstractBased on the accurate judgment of large-scale data analysis and processing by emerging technologies such as big data, in order to improve the standard system of environmental damage remediation and promote the effect evaluation system of environmental damage remediation in China. This paper analyzes the emerging technology of big data, and discusses the feasibility and recommendability of this emerging technology in the actual environment. At the same time, the advantages of using this technology in environmental remediation assessment are expounded, and the suitable objects are analyzed and summarized. Based on this, this paper focuses on the feasibility and recommendability of big data technology and other emerging environmental damage remediation, proposes to improve and upgrade the environmental damage remediation effect evaluation system, strengthen the research and practice of the current system, and establish the assessment technology system based on big data. The original intention of the study: to help the country or enterprises better understand the degree of environmental remediation, whether they meet the relevant standards.ru
dc.language.isocnru
dc.publisherБНТУru
dc.title大数据技术对环境损害整治效果的研究ru
dc.typeWorking Paperru


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