FogHorn
工业和商业物联网的边缘智能
概述
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总部
美国
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成立年份
2014
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公司类型
私营公司
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收入
$10-100m
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员工人数
51 - 200
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网站
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推特句柄
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公司介绍
物联网应用简介
技术栈
FogHorn的技术栈描绘了FogHorn在分析与建模, 和 基础设施即服务 (iaas)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
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实例探究.
Case Study
Pump Cavitation Detection
Cavitation is a condition can occur in centrifugal pumps when there is a sudden reduction in fluid pressure. Pressure reduction lowers the boiling point of liquids, resulting in the production of vapor bubbles if boiling occurs. This is more likely to happen at the inlet of the pump where pressure is typically lowest. As the vapor bubbles move towards the outlet of the pump where pressure is higher, they rapidly collapse (return to a liquid state) resulting in shock waves that can damage pump components.
Case Study
GE Detects Early Defects and Improves Capacitor Production
Hard to Detect Capacitor Failure Conditions Reducing Yield, Increasing ScrapGE was facing multi-million-dollar scrap problems due to limited real-time insights into the entire production process. They believed they could significantly improve the yield and reduce the scrap of their manufacturing operation by analyzing a large amount of RFID sensor data being produced by 30+ machines during the production cycle. This included correlating processing data in real-time from several sources to create an edge intelligence layer with FogHorn for real-time condition monitoring throughout the production process. The goal was to identify defects early, quickly determine the root cause, and speed remediation actions to improve yield and reduce scrap costs.
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