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Semiotic Labs
可预测的可靠性
概述
公司介绍
热衷于解决计划外停机问题,Semiotic Labs 使用先进的人工智能和机器学习技术来创建智能状态监测产品,从而提高生产力,同时节省客户的时间和金钱。
物联网解决方案
SAM4 是一种用于交流电机和旋转设备的智能状态监测解决方案,安装在电机控制柜内,而不是现场资产上。 SAM4 24/7 全天候监控设备,并提前数月检测即将发生的故障。
SAM4 是一种先进的物联网解决方案,由传感器、分析和在线仪表板组成,可提供有关连接资产的健康状况、性能和能源消耗的可操作实时洞察。
SAM4 可作为可扩展的订阅服务使用。
SAM4 适用于:
- 交流电机高达 1,000 安培
- 输送机
- 泵
- 压缩机
- 鼓风机和风扇
- 搅拌机
- 变速箱
主要客户
- 安赛乐米塔尔、塔塔钢铁、蒂森克虏伯
- 巴斯夫、诺力昂、赢创
- 喜力、汉高
- SAPPI, CrownVanGelder
物联网应用简介
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用例
技术栈
Semiotic Labs的技术栈描绘了Semiotic Labs在等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
实例探究.
Case Study
ArcelorMittal condition monitoring
ArcelorMittal’s rotating assets often operate in harsh environments. A conveyor at the company’s hot strip mill in Ghent, Belgium moves plates of sizzling hot steel along the production process. In conditions like these, traditional proximity-based technologies like vibration and acoustic analysis fail: the sensors can’t handle the high temperatures.“In the steel industry, assets frequently operate in conditions that are not hospitable to sensitive sensor technologies,” says Andy Roegis, ArcelorMittal’s industrial digitalization manager for northern Europe. “The conveyor on our hot strip mill is a critical part of the production process, but it’s virtually impossible to use manual or vibration-based techniques to assess its condition.”
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合作伙伴.
Supplier
Honeywell
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Schneider Electric
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