service innovation and smart analytics for industry 4.0 and big data environment

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1、工业4.0和大数据环境下的服务创新及智能分析摘要Today,inanIndustry4.0factory,machinesareconnectedasacollaborativecommunity.Suchevolutionrequirestheutilizationofadvance-predictiontools,sothatdatacanbesystematicallyprocessedintoinformationtoexplainuncertainties,andtherebymakemore“informed”decisions.Cyber-PhysicalSystem-b

2、asedmanufacturingandserviceinnovationsaretwoinevitabletrendsandchallengesformanufacturingindustries.Thispaperaddressesthetrendsofmanufacturingservicetransformationinbigdataenvironment,aswellasthereadinessofsmartpredictiveinformaticstoolstomanagebigdata,therebyachievingtransparencyandproductivity

3、.今天，在一个工业4.0的工厂，机器被连接成了一个协同工作的社区。这样的演变需要一些能够预知未来的工具，所以数据被系统性的处理成信息以解释不确定性，以此来做出更多“明智”的决定。对制造业来说，基于信息物理系统的制造及服务创新是两个必然的趋势和挑战。本文描述了大数据环境中的制造业服务转型趋势，同时为大数据环境下的智能信息预测工具做了准备，从而提高透明性及生产力。引言Intoday’scompetitivebusinessenvironment,companiesarefacingchallengesindealingwithbigdataissuesofrapiddecision-mak

4、ingforimprovedproductivity.Manymanufacturingsystemsarenotreadytomanagebigdataduetothelackofsmartanalytictools.Germanyisleadingatransformationtoward4thGenerationIndustrialRevolution(Industry4.0)basedonCyber-PhysicalSystem-enabledmanufacturingandserviceinnovation.Asmoresoftwareandembeddedintellige

5、nceareintegratedinindustrialproductsandsystems,predictivetechnologiescanfurtherintertwineintelligentalgorithmswithelectronicsandtether-freeintelligence.Thesetechnologieswillthenbeusedtopredictproductperformancedegradation,andautonomouslymanageandoptimizeproductserviceneeds.在当今竞争激烈的商业环境中，企业为提高生产力

6、，正面临着在来自处理快速决策中大数据问题的挑战。许多制造系统由于缺乏智能分析工具，而没有为管理大数据做好准备。基于信息物理系统的制造及服务创新，德国正在领导一场向第四次工业革命的变革。随着越来越多的软件和嵌入式智能集成在工业产品和系统中，预测技术可以进一步的整合智能算法。这些技术奖被应用在预测产品性能下降上，从而自主的管理和优化产品服务需求。Nowadays,smartfactoriesfocusmostlyoncontrol-centricoptimizationandintelligence.Moreover,greaterintelligencecanbeachievedbyin

7、teractingwithdifferentsurroundingsystemsthathaveadirectimpacttomachineperformance.Achievingsuchseamlessinteractionwithsurroundingsystemsturnsregularmachinesintoself-awareandself-learningmachines,andconsequentlyimprovesoveral