Article(id=1242141716472471613, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242141201357419314, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2023.11.01652, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1698681600000, receivedDateStr=2023-10-31, revisedDate=1710777600000, revisedDateStr=2024-03-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1732032000000, onlineDateStr=2024-11-20, pubDate=1730044800000, pubDateStr=2024-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1732032000000, onlineIssueDateStr=2024-11-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774079263081, creator=sys-migrate, updateTime=1774079263081, updator=sys-migrate, issue=Issue{id=1242141201357419314, tenantId=1146029695717560320, journalId=1146031591421210625, year='2024', volume='42', issue='20', pageStart='1', pageEnd='116', issueExtLink='null', onlineDate='null', pubDate='1730044800000', pubDateStr='2024-10-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=null, issueType=-1, specialIssue=null, createTime=1774079140268, creator='sys-migrate', updateTime=1774079140268, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=23, endPage=31, ext={EN=ArticleExt(id=1242141719165214799, articleId=1242141716472471613, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=The current situation and development of noise automatic monitoring in China, columnId=1242141675049526126, journalTitle=Science & Technology Review, columnName=Exclusive：Noise pollution prevention and control, runingTitle=null, highlight=null, articleAbstract=Noise monitoring is an important foundation for quality evaluation of acoustic environment, prevention and control of noise pollution, and decision making about noise management. With an introduction to the development trend of noise automatic monitoring in the world and systematic review of the development process of noise automatic monitoring in China which has been divided into development stages, the effectiveness and shortcomings of noise automatic monitoring in China are evaluated in this paper. The next three to five years will witness a big leap in noise monitoring work. First, the automatic monitoring network of acoustic environment quality, the quality management system of monitoring data, and the standardization and informatization of noise monitoring should be optimized further; second, the digital intelligence transformation of noise monitoring should be accelerated by promoting the application of advanced technical technologies such as sound pattern recognition and noise map which will significantly improve the identification accuracy of noise pollution types and spatial and temporal distribution so as to solve the prominent noise problems around the people and make greater contributions to the construction of beautiful China., authors=MAO Yuru¹, WANG Yun¹, ZHANG Jianxun², authorsList=MAO Yuru, WANG Yun, ZHANG Jianxun, authorCompany=1. State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China;
2. Henan Noise Control Technology Engineering Research Center, Puyang Lüyu New Material Technology Corporation, Puyang 457004, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242141717734957127, articleId=1242141716472471613, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=中国噪声自动监测的现状和发展, columnId=1242141673128534886, journalTitle=科技导报, columnName=专题：噪声污染防治, runingTitle=null, highlight=null, articleAbstract=介绍了国际噪声自动监测的发展态势，回顾了中国噪声自动监测的发展历程，划分了发展阶段，评述了中国噪声自动监测的成效及不足。未来 3~5年是噪声监测工作开新局、谋新篇的新阶段，一是应进一步优化声环境质量自动监测网络，健全监测数据质量管理体系，提升噪声监测标准化、信息化水平；二是要加速噪声监测数智化转型，推进噪声声纹识别、噪声地图等先进技术手段应用，大幅提高对噪声污染类型和时空分布的识别精准度，助力解决人民群众身边的突出噪声问题，为美丽中国建设作出更大的贡献。, authors=毛玉如¹, 汪赟¹, 张建勋², authorsList=毛玉如, 汪赟, 张建勋, authorCompany=1. 中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012;
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