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基于AWS的数据科学实践
book

基于AWS的数据科学实践

by Chris Fregly, Antje Barth
September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
China Electric Power Press Ltd.
Content preview from 基于AWS的数据科学实践
数据科学的应用场景
|
65
我们可以使用
Amazon Lookout for Equipment
来监测仪器仪表的健康程度和使用效
率。我们将仪器仪表采集的传感器历史数据上传到
Lookout for Equipment
,后者会
构建定制的机器学习模型来检测仪器的任何异常行为。此外,这项服务会自动发送
告警以便于我们采取措施。
Lookout for Equipment
支持任何时间序列模拟数据,包
括温度、流量等传感器数据。
我们可以使用
Amazon Monitron
实现端到端的预测性维护使用场景,其包括一个作
为网关设备的仪表传感器来安全连接到
AWS
,以及一个托管服务来分析数据以发现
异常机器模式。
Amazon Monitron
从我们的设备中捕获传感器数据、识别传感器模
式并训练一个针对该设备的机器学习模型。我们可以通过
Amazon Monitron
的移动
应用来提供反馈以改进模型。
我们可以通过
AWS Panorama
开启我们内部部署的计算机视觉照相机,其提供一个
可以连接到我们网络和已有照相机的硬件设备。此后我们可以部署计算机视觉应用
到这个设备上来处理已连接相机的视频流。相机设备厂商可以使用
AWS Panorama
SDK
来构建新相机在边缘运行计算机视觉模型。
2.12
使用
AWS IoT
和
Amazon SageMaker
实现
家庭自动化
我们生活在一个大约五十亿人拥有移动设备,且超过一半的互联网流量由移动设备
贡献的世界。此外,物联网(
IoT
)行业革命在我们的家庭、办公楼、工厂、汽车、
轮船、飞机、石油钻井、 ...
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Publisher Resources

ISBN: 9787519869663