技术
- 处理器与边缘智能 - 嵌入式和边缘计算机
适用行业
- 运输
适用功能
- 物流运输
用例
- 边缘计算与边缘智能
客户
通用电气数字
关于客户
随着最近对 GoLINC 移动数据中心的增强,GE 和英特尔正在填补工业互联网的一个关键空白。他们相信这个开放平台将有助于推动许多行业的分析驱动创新。
挑战
你有没有因为过多的感官输入而感到超负荷?如果您当时正在开车,结果可能会有问题,甚至有风险。火车、轮船、石油钻井平台和许多其他工业资产也是如此。随着传感器数量的增加,这些复杂机器上的数据处理挑战也在迅速增长;然而,通过有效使用所有可用数据来转变运营的机会也是如此。例如,现代机车有多达 200 个传感器,每秒产生超过 10 亿个数据点。
解决方案
通过快速分析,来自这些传感器的大量数据可以帮助实时监控机车健康状况,以便调度员和电力规划人员能够做出更好、更快的决策,以提高利用率和任务成果。这些数据还可以用于预测车载问题并进行快速调整,例如降低速度,以便火车可以在关键部件发生故障之前使其回家。
收集的数据
Asset Utilization, Fault Detection, Speed, Vehicle diagnostics , Vibration
运营影响
数量效益
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