AWS IoT SiteWise is a managed service that makes it easy to collect, organize, and analyze data from industrial equipment at scale.
You can use AWS IoT SiteWise to build models of your physical operations so you can easily understand industrial data in the context of your equipment. These models are representations of your assets, processes, and facilities. Once your models are created, you can define an asset hierarchy to accurately represent relationships between devices and equipment within a single facility or across multiple facilities.
You can map data streams and define static or computed properties for equipment or processes across all facilities, so they're readily available for analysis. Using a built-in library of operators and functions, you can create two different types of custom computations – transforms and metrics. You can define transforms that trigger when data from your equipment arrives. You can define metrics that are computed at user-defined intervals and can be configured for an asset or rolled up from a group of assets. AWS IoT SiteWise also automatically computes commonly used statistical aggregates such as average, sum, and count over multiple time periods (e.g., 1 min, 1 hour) for equipment data, transforms and metrics. These auto-computed aggregates can be visualized using SiteWise Monitor web applications in near-real time and queried by custom applications.
AWS IoT SiteWise includes software, SiteWise Edge, which runs on-premises to make it easy to collect, organize, process, and monitor equipment data locally before sending the data to the AWS Cloud. You run SiteWise Edge on local hardware such as third-party industrial gateways and computers, or on AWS Outposts and AWS Snow Family compute devices. SiteWise Edge uses AWS IoT Greengrass, which provides a local software runtime environment for edge devices to help build, deploy and manage applications. The SiteWise Edge software automates the process of securely connecting to and reading data from your industrial equipment and onsite data servers or historian databases. SiteWise Edge collects this data using multiple industrial protocols including OPC-UA, Modbus TCP and EtherNet/IP, which are provided as pre-packaged connectors that run on AWS IoT Greengrass.
Once data is collected, you can filter data streams by sampling or comparing against a specified criterion (e.g. air temperature above a user specified threshold), define asset metrics such as Overall Equipment Effectiveness (OEE), or use an AWS Lambda function to customize how the data is processed. Once the data is processed, you can send the data to AWS IoT SiteWise in the cloud and for longer term storage and analysis in your industrial data lake you can send to other AWS Cloud services such as Amazon S3 and Amazon Timestream. In addition, local applications can call AWS IoT SiteWise query APIs on the SiteWise Edge software to read asset time series data, and computed transforms and metrics.
To learn more and access getting started resources, visit AWS IoT SiteWise Edge.
In addition to using SiteWise Edge to ingest data into the AWS Cloud, AWS IoT SiteWise supports other data ingestion methods, including the MQTT protocol via integration with AWS IoT Core. You can use the AWS IoT message broker to subscribe to a topic that is publishing messages from your industrial equipment, and then use the AWS IoT Core Rules Engine to route messages to AWS IoT SiteWise.
AWS IoT SiteWise also allows any edge or cloud application to send data to AWS IoT SiteWise by using REST APIs.
You can configure and monitor edge gateways across all facilities and view a consolidated list of active gateways, through the console or using APIs. You can also monitor the health of gateways remotely to view the status of all of your production lines from one place. Gateway metrics that help you monitor the health, status and performance of your gateway resources can also be viewed in the Amazon CloudWatch Metrics console.
AWS IoT SiteWise includes the ability to create no-code, fully-managed web applications using SiteWise Monitor for visualizing and interacting with operational data from devices and equipment connected to AWS IoT. With SiteWise Monitor, you can automatically discover and display asset data that has been ingested and modeled with AWS IoT SiteWise. You can view asset data and computed metrics in near real time or compare and analyze historical time series data from multiple assets and different time periods. You can visualize data using line and bar charts, add thresholds to these charts, and monitor data against these thresholds. Users can access the web applications from a browser on any web-enabled desktop, tablet or phone and sign-in with their corporate credentials through a single sign-on (SSO) experience. Administrators can create one or more web applications to easily share access to asset data with any team in your organization to accelerate insights. These web applications can also be deployed locally using the SiteWise Edge software so you can visualize equipment data in real-time on the factory floor, even when connectivity to the cloud is temporarily disrupted.
To assess equipment behavior or identify equipment performance issues, you can define and update alarms, and setup alarm notifications using the AWS IoT SiteWise console, AWS IoT SiteWise Monitor, or by using the AWS IoT SiteWise SDK. For an asset data property that you want to monitor, you can define an alarm rule to apply (e.g. rotations per minute is greater than a user defined value), select the severity for this alarm definition (e.g., severity values of 1, 2, 3 and 4 corresponding to low, medium, high and critical alerts), and configure the notifications to send when an alarm is triggered (e.g. Email and SMS). Once an alarm has been defined, operators can manage the alarm workflow by taking actions to acknowledge, snooze or disable the alarm. You can also configure additional actions to other AWS services including AWS Lambda, Amazon Simple Queue Service (SQS), and Amazon Simple Notification Service (SNS), to be executed when an alarm triggers, for example, to integrate alarm notifications with your own ticketing or notification systems.
To visualize equipment alarms, analyze alarm information against live and historical data trends, and determine corrective actions to take (e.g., schedule equipment repair), SiteWise Monitor allows you to display and organize alarm data in a customizable web application. This includes a threshold chart to view live or historical trend lines for asset data or metrics against configured alarm definition thresholds, a status timeline chart to visualize the timeline of alarm state changes, and an alarm table that lists all relevant alarms with key information such as alarm rule, asset name and current alarm state.
Custom edge and cloud applications can use query APIs to easily retrieve asset data and computed metrics from the AWS IoT SiteWise time series data store, or use a publish/subscribe interface to consume a near real-time stream of structured IoT data. Custom edge applications can also call the same AWS IoT SiteWise query APIs on the SiteWise Edge software running on-premises to retrieve asset data and metrics, without relying on connectivity to the cloud.