工业大数据的产生及特点以及区别其他行业的挑战
工业大数据是制造型企业创新转型的驱动力和催化剂，随着三维设计、3D打印、机器人技术等在制造型企业广泛应用。工业大数据广泛分布在产品设计、制造、物流、服役等各环节，具体如下：
数字化设计：如飞机全数字化设计，波音公司利用CATIA软件设计波音777的300万个零部件的尺寸和形状数据;
智能化制造：以智能工业机器人为典型代表的智能制造装备已经开始在多个领域得到应用;我国今年的工业机器人超过日本。
网络化监控：大型工业装备运行状态网络化远程动态监测：例如，波音737发动机在飞行中每30分钟产生10TB数据;陕鼓动力实现数百台旋转机械远程在线监测及故障诊断。
物联化管理：工业生产过程开始大量使用RFID实现零件与产品管理。
工业大数据区别其他行业大数据有自身的特点和挑战：
一是多源性获取，数据分散、非结构化数据比例大
工业大数据来源广泛且分散，有来源于产品制造现场工控网监控数据，有来源于互联网的客户、供应商数据，有来源于企业内网的经营管理数据。海量异构多源多类数据难以有效集成，语义描述困难，不能实现面向系统生命周期管理的数据协同管理;
二是数据关联性强，有关联也要有因果
工业大数据的产生和应用都围绕产品全生命周期、企业主价值链等，数据间关联性强且分析准确性要求高。不但要利用大数据给出决策也要用大数据给出决策依据。工业大数据预测精度低，准确性和可靠性不高，无法满足安全性要求;
三是持续采集、具有鲜明的动态时空特性
工业大数据来源于工控网络和传感设备，具有实时性强、连续性、稳定性要求高等特点，需要采用可靠的数据采集、存储、管理的工具进行管理，另外涉及国计民生领域还要求整个平台安全可控。工业大数据分析的实时性要求高，动态控制困难，量化难度大。
四是与具体工业领域紧密相关
工业大数据产生依赖于CPS网络和智能产品，但目前面向信息物理融合系统的分析方法单一，无法实现闭环、多层次、多阶段、自比较等的综合分析;面向智能设备和智能产品的故障检测能力不足，健康预测管理水平低，无法实现面向产品可靠性的深层次分析。
{"weixin":{"label":"微信","name":"weixin","selected":true,"value":true,"sortid":"1","shareid":"weixin","sharetitle":"分享到微信","event":"shareToWeiXin","lang":"shareWeb_WeiXin"},"copy":{"label":"复制网址","name":"copy","selected":true,"value":true,"sortid":"2","shareid":"copy","sharetitle":"复制网址","event":"copy_url","lang":"shareWeb_Copy"},"qq":{"label":"QQ好友","name":"qq","selected":true,"value":false,"sortid":"1","shareid":"qq","sharetitle":"分享到QQ","event":"shareToQQ","lang":"shareWeb_QQ"},"sina_weibo":{"label":"新浪微博","name":"sina_weibo","selected":true,"value":true,"sortid":"4","shareid":"sina_weibo","sharetitle":"分享到新浪微博","event":"shareToSinaWB","lang":"shareWeb_SinaWeiBo"},"qq_zone":{"label":"QQ空间","name":"qq_zone","selected":true,"value":true,"sortid":"5","shareid":"qq_zone","sharetitle":"分享到QQ空间","event":"shareToQzone","lang":"shareWeb_QQZone"},"renren":{"label":"人人网","name":"renren","selected":true,"value":true,"sortid":"7","shareid":"renren","sharetitle":"分享到人人网","event":"shareToRenren","lang":"shareWeb_RenRen"},"douban":{"label":"豆瓣网","name":"douban","selected":true,"value":true,"sortid":"8","shareid":"douban","sharetitle":"分享到豆瓣网","event":"shareToDouban","lang":"shareWeb_DouBan"},"baidu_tieba":{"label":"百度贴吧","name":"baidu_tieba","selected":true,"value":true,"sortid":"10","shareid":"baidu_tieba","sharetitle":"分享到百度贴吧","event":"shareToTieba","lang":"shareWeb_TieBa"},"Facebook":{"label":"Facebook","name":"Facebook","selected":true,"value":true,"sortid":"11","shareid":"Facebook","sharetitle":"分享到FaceBook","event":"shareToFacebook","lang":"shareWeb_Facebook"},"Twitter":{"label":"Twitter","name":"Twitter","selected":true,"value":true,"sortid":"12","shareid":"Twitter","sharetitle":"分享到Twitter","event":"shareToTwitter","lang":"shareWeb_Twitter"},"LinkedIn":{"label":"LinkedIn","name":"LinkedIn","selected":true,"value":true,"sortid":"13","shareid":"LinkedIn","sharetitle":"分享到linkedIn","event":"shareToLinkedin","lang":"shareWeb_Linkedin"},"whatsapp":{"label":"whatsapp","name":"whatsapp","selected":true,"value":true,"sortid":"15","shareid":"whatsapp","sharetitle":"分享到whatsapp","event":"shareToWhatsapp","lang":"shareWeb_whatsapp"},"line":{"label":"line","name":"line","selected":true,"value":true,"sortid":"15","shareid":"line","sharetitle":"分享到line","event":"shareToLine","lang":"shareWeb_line"},"qq_weibo":{"label":"腾讯微博","name":"qq_weibo","selected":true,"value":true,"sortid":"3","shareid":"qq_weibo","sharetitle":"分享到腾讯微博","event":"shareToQQwb","lang":"shareWeb_QQWeiBo"},"peopleBlog":{"label":"人民微博","name":"propleBlog","selected":true,"value":true,"sortid":"14","shareid":"propleBlog","sharetitle":"分享到人民微博","event":"shareToPeopleBlog","lang":"shareWeb_peopleBlog"}}
