技术
- 分析与建模 - 大数据分析
适用行业
- 金属
适用功能
- 流程制造
用例
- 机器状态监测
客户
安赛乐米塔尔
关于客户
安赛乐米塔尔是世界领先的钢铁和矿业公司。以生产安全、可持续钢材的理念为指导,它是所有主要市场(包括汽车、建筑、家用电器)的优质钢材产品的领先供应商
挑战
安赛乐米塔尔的旋转资产经常在恶劣的环境中运行。该公司位于比利时根特的热轧带钢厂的输送机在生产过程中运送炽热的热钢板。在这样的情况下,振动和声学分析等传统的基于接近的技术会失败:传感器无法处理高温。
“在钢铁行业,资产经常在不适合敏感传感器技术的条件下运行,”安赛乐米塔尔北欧工业数字化经理 Andy Roegis 说。 “我们热轧带钢厂的传送带是生产过程的关键部分,但几乎不可能使用手动或基于振动的技术来评估其状况。”
解决方案
安赛乐米塔尔处于钢铁行业数字化的前沿,因此该公司一直在寻找一种智能解决方案,利用人工智能和工业物联网的力量来产生数据驱动的洞察力。
“我们需要一种经济高效的方法来提高这些难以监控的资产的可靠性,”Roegis 说。 “我们一直在寻找一种实时解决方案,可以让我们长期了解输送机的健康状况、性能和能源消耗。”
安赛乐米塔尔在 Semiotic Labs 的 SAM4 中找到了它想要的东西。 “ SAM4 无需安装在现场资产上,而是安装在电机控制柜内,不会造成伤害,” Roegis 说。 “它的高级分析正是我们所需要的。”
收集的数据
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