Machine failures can cause an adverse impact on the operational efficiency of plants and factories, but identification of critical failures and examining physical parameters pose a challenge. To improve the fault detection process, it is crucial to monitor production systems and collect performance data in real-time. In this session, we discuss and demonstrate various options available to securely connect and collect equipment data to gain real-time insights at the edge and in the cloud using AWS IoT suite of services and Analytical services. In addition, we demo a use case where data from multiple equipment are collected and critical parameters are monitored in real time at the edge. Furthermore, we showcase a centralized dashboard with consolidated data from multiple sites.
AWS services: AWS IoT SiteWise, AWS IoT Greengrass, Amazon S3, Amazon EC2, Amazon Timestream
Santhosh Urukonda, Prototyping Architect, AISPL
Sakthi Srinivasan, Prototyping Manager, AISPL
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