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AWS Solutions Library

Guidance for Downstream Equipment Health and Maintenance on AWS

Overview

This Guidance helps industrial energy customers derive near real-time visibility into early indications of equipment failure and equipment performance. This yields additional lead time to drive field action, such as equipment optimization and proactive maintenance planning. Customers can reduce unplanned downtime while optimizing equipment lifecycles, helping them improve maintenance planning and the associated costs. 

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

Amazon Managed Service for Apache Flink is capable of detecting schema changes within the sensor data ingested from sources such as Internet of Things (IoT) sensors and SCADA systems. Upon detecting such changes, Amazon SNS is used to send alerts. Promptly addressing these data source schema changes helps to mitigate unexpected behavior in downstream data pipelines.

Read the Operational Excellence whitepaper

AWS IoT Core facilitates secure communication and access control for IoT devices transmitting sensor data. Additionally, AWS Identity and Access Management (IAM) enables the management of permissions and access controls for the AWS resources utilized within this Guidance. These AWS services collectively protect both the data and resources from unauthorized access.

Read the Security whitepaper

Kinesis Data Streams provides a durable and highly available data streaming service. Complementing this, Amazon Managed Service for Apache Flink offers a fault-tolerant stream processing system. These AWS services collectively contribute to the overall reliability of this Guidance through continuous data ingestion and processing, even in the face of potential failures.

Read the Reliability whitepaper

Amazon EMR Serverless furnishes a serverless environment suitable for executing big data analytics workloads, including the training of machine learning models. This AWS service enhances performance efficiency by automatically scaling resources to match the prevailing workload demand, thereby optimizing both resource utilization and overall performance.

Read the Performance Efficiency whitepaper

Amazon S3 provides cost-effective and scalable object storage to support the data lake of this Guidance. Using Amazon S3 for data storage contributes to cost optimization by eliminating the need to provision and manage storage infrastructure, allowing users to pay only for the storage capacity they consume.

Read the Cost Optimization whitepaper

Amazon Managed Service for Apache Flink furnishes a managed stream processing service capable of automatically scaling resources in response to fluctuating demand. This AWS service contributes to sustainability by minimizing resource utilization during periods of low demand, thereby reducing the overall environmental impact of this Guidance.

Read the Sustainability whitepaper

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.