Article(id=1297139313301549974, tenantId=1146029695717560320, journalId=1296801528146919473, issueId=1297139249468433079, articleNumber=null, orderNo=null, doi=10.12377/1671-4393.26.05.14, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1787191711974, onlineDateStr=2026-08-20, pubDate=1779638400000, pubDateStr=2026-05-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1787191711974, onlineIssueDateStr=2026-08-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1787191711974, creator=13701087609, updateTime=1787191711974, updator=13701087609, issue=Issue{id=1297139249468433079, tenantId=1146029695717560320, journalId=1296801528146919473, year='2026', volume='', issue='5', pageStart='2', pageEnd='144', issueExtLink='null', onlineDate='null', pubDate='1779638400000', pubDateStr='2026-05-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1787191696754, creator='13701087609', updateTime=1787192231935, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1297141494226383122, tenantId=1146029695717560320, journalId=1296801528146919473, issueId=1297139249468433079, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1297141494226383123, tenantId=1146029695717560320, journalId=1296801528146919473, issueId=1297139249468433079, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=96, endPage=102, ext={EN=ArticleExt(id=1297139315042186135, articleId=1297139313301549974, tenantId=1146029695717560320, journalId=1296801528146919473, language=EN, title=Research and Application of Data Acquisition Methods for Dairy Laboratory Equipment, columnId=1297134031947194991, journalTitle=China Dairy, columnName=QUALITY CONTROL, runingTitle=null, highlight=null, articleAbstract=

Data acquisition from laboratory equipment is a crucial link in driving scientific research and innovation in the dairy industry, as well as ensuring the accuracy of product quality testing and the reliability of component analysis. In their daily operations, dairy industry laboratories need to conduct experiments centered on core requirements such as raw milk freshness testing, protein/fat content analysis of finished dairy products, and microbial index monitoring-all of which impose extremely high demands on the real-time performance, accuracy, and integrity of data acquisition, and present the characteristics of "high-frequency testing+data diversity". Combined with the practical needs of dairy industry laboratories in quality testing, component analysis, and other aspects, this study systematically analyzed the current status and challenges of data acquisition in dairy industry laboratories. It conducted an in-depth examination of five mainstream data acquisition methods: direct database acquisition, report export acquisition, serial port protocol acquisition, sensor-based automatic acquisition and machine vision-based acquisition, while elaborating on their principles, processes, advantages, and limitations. Furthermore, by integrating practical cases in dairy product testing scenarios, this study provided references for laboratories to accurately select efficient data acquisition solutions based on their own priorities in quality control, types of analysis projects, and other needs. It aims to facilitate the upgrading of laboratory digital management, improve the efficiency of scientific research and testing, and provide technical support for the construction of a dairy product safety assurance system.

, authors=Hongbo YI, Jian YANG^*, Gang LU, Liya DONG, Ying YANG, Hongna SUN, authorsList=Hongbo YI, Jian YANG, Gang LU, Liya DONG, Ying YANG, Hongna SUN, authorCompany=null, correspAuthors=Jian YANG, 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=1297139315319010200, articleId=1297139313301549974, tenantId=1146029695717560320, journalId=1296801528146919473, language=CN, title=乳制品实验室设备数据采集方法研究与应用, columnId=1297134032135938673, journalTitle=中国乳业, columnName=质量安全, runingTitle=null, highlight=null, articleAbstract=

实验室设备数据采集是推动乳制品行业科研创新、保障产品质量检测精准性与成分分析可靠性的关键环节。在乳制品行业实验室日常运营中，需围绕原料乳新鲜度检测、成品蛋白质/脂肪含量分析、微生物指标监控等核心需求开展试验，对数据采集的实时性、准确性及完整性有着极高要求，且呈现“高频检测+数据多样性”特征。本研究结合乳制品行业实验室在质量检测、成分分析等方面的实际需求，系统分析当前乳制品行业实验室数据采集的现状和挑战，深入剖析数据库直接采集、导出报告采集、串口协议采集、传感器自动采集及仪器视觉采集5 种主流方式，阐述其原理、流程、优势及局限；并结合乳制品检测场景下的实际案例，为实验室根据自身质量管控重点、分析项目类型等需求精准选择高效数据采集方案提供参考，助力实验室数字化管理升级与科研检测效率提升，为乳制品安全保障体系构建提供技术支撑。

, authors=仪虹伯, 杨戬^*, 逯刚, 董立雅, 杨颖, 孙宏娜, authorsList=仪虹伯, 杨戬, 逯刚, 董立雅, 杨颖, 孙宏娜, authorCompany=null, correspAuthors=杨戬, authorNote=, correspAuthorsNote=, copyrightStatement=发表在《中国乳业》上的论文，视为将本论文的数字化复制权、发行权、汇编权及信息网络传播权许可给《中国乳业》使用。本刊已许可中国学术期刊（光盘版）电子杂志社、北京万方数据股份有限公司等多家单位在其相关数据库产品中以数字化方式复制、汇编、发行、信息网络传播本刊全文。作者向本刊提交文章发表的行为即视为同意我刊授权使用该文著作权。, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=LzFtlL2MYt469Ro7JWfGwg==, magXml=wl8o0x/zVcmygBdv2A6vbA==, pdfUrl=null, pdf=5JiaQjbBc6lkQWAQFQWbQA==, pdfFileSize=799081, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=i0xBGpAHBwEJ9+pD+u4FNg==, mapNumber=null, fund=null)}, authors=[Author(id=1297139315566474141, tenantId=1146029695717560320, journalId=1296801528146919473, articleId=1297139313301549974, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1297139315650360223, tenantId=1146029695717560320, journalId=1296801528146919473, articleId=1297139313301549974, authorId=1297139315566474141, language=EN, stringName=Hongbo YI, firstName=Hongbo, middleName=null, lastName=YI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Inner Mongolia Mengniu Dairy Industrial Co., Ltd., Hohhot Inner Mongolia 011517, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1297139315713274784, tenantId=1146029695717560320, journalId=1296801528146919473, articleId=1297139313301549974, authorId=1297139315566474141, language=CN, stringName=仪虹伯, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=内蒙古蒙牛乳业（集团）股份有限公司，内蒙古 呼和浩特 011517, bio={"content":"

仪虹伯（1988-），女，蒙古族，内蒙古呼和浩特人，硕士，工程师，研究方向为乳品检验技术

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仪虹伯（1988-），女，蒙古族，内蒙古呼和浩特人，硕士，工程师，研究方向为乳品检验技术

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逯刚（1978-），男，内蒙古呼和浩特人，硕士，高级工程师，研究方向为食品质量安全

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逯刚（1978-），男，内蒙古呼和浩特人，硕士，高级工程师，研究方向为食品质量安全

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董立雅（1987-），女，北京人，硕士，工程师，研究方向为食品质量安全

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杨颖（1986-），女，内蒙古扎兰屯人，本科，工程师，研究方向为食品安全及信息化

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杨颖（1986-），女，内蒙古扎兰屯人，本科，工程师，研究方向为食品安全及信息化

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孙宏娜（1984-），女，内蒙古乌兰察布人，本科，工程师，研究方向为乳品检验管理。

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孙宏娜（1984-），女，内蒙古乌兰察布人，本科，工程师，研究方向为乳品检验管理。

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