AWS IoT SiteWise Documentation

AWS IoT SiteWise is a managed service that helps you collect, organize, and analyze data from industrial equipment at scale.

AWS IoT SiteWise storage supports multiple tiers for equipment data, including a hot tier optimized for real-time applications and a cold tier optimized for analytical applications. SiteWise is designed to help you to reduce storage cost by keeping recent data in hot tier and moving historical data to a cost optimized storage tier based upon policies.

AWS IoT SiteWise helps you build models of your physical operations so you can 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.

AWS IoT SiteWise is designed to help you 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, the service helps you to create two different types of custom computations – transforms and metrics. You can define transforms intended to trigger when data from your equipment arrives. You can define metrics intended to be computed at user-defined intervals and configured for an asset or rolled up from a group of assets. AWS IoT SiteWise also is designed to help you compute 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 computed aggregates can be visualized using SiteWise Monitor web applications and queried by custom applications.

AWS IoT SiteWise includes software, SiteWise Edge, which runs on-premises to help you 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 helps you with the process of connecting to and reading data from your industrial equipment and onsite data servers or historian databases. SiteWise Edge is designed to collect this data using multiple industrial protocols including OPC-UA, Modbus TCP and EtherNet/IP.

Once data is collected, SiteWise Edge helps you 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 you process the data, 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, the service is designed so 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.

In addition to using SiteWise Edge to ingest data into the AWS Cloud, AWS IoT SiteWise is designed to support other data ingestion methods, including the MQTT protocol via integration with AWS IoT Core.

AWS IoT SiteWise is also designed to allow any edge or cloud application to send data to AWS IoT SiteWise by using REST APIs.

The service is designed so you can configure and monitor edge gateways across all facilities and view a consolidated list of active gateways, through the console or using APIs. The service is also designed so you can monitor the health of gateways remotely to view the status of all of your production lines from one place. 

AWS IoT SiteWise is designed to help you 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 discover and display asset data that has been ingested and modeled with AWS IoT SiteWise. You can view asset data and computed metrics 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. The service is designed so 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, and so administrators can create one or more web applications to easily share access to asset data with any team in your organization to accelerate insights. The SiteWise Edge software is designed to help you deploy these web applications locally so you can visualize equipment data on the factory floor.

To help you assess equipment behavior or identify equipment performance issues, you can define and update alarms, and configure 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, the service is designed so 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 after 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), designed to be executed after an alarm triggers, for example, to integrate alarm notifications with your own ticketing or notification systems.

To help you visualize equipment alarms, analyze alarm information against data trends, and determine corrective actions to take (e.g., schedule equipment repair), SiteWise Monitor is designed so you can display and organize alarm data in a customizable web application. This includes a threshold chart designed to help you view trend lines for asset data or metrics against configured alarm definition thresholds, a status timeline chart designed to help you visualize the timeline of alarm state changes, and an alarm table designed to list 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 help retrieve asset data and computed metrics from the AWS IoT SiteWise time series data store, or use a publish/subscribe interface to help consume a 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 help retrieve asset data and metrics.

For additional information about service controls, security features and functionalities, including, as applicable, information about storing, retrieving, modifying, restricting, and deleting data, please see https://docs.aws.amazon.com/index.html. This additional information does not form part of the Documentation for purposes of the AWS Customer Agreement available at http://aws.amazon.com/agreement, or other agreement between you and AWS governing your use of AWS’s services.