AWS IoT SiteWise Documentation
Time series storage integrated with your industrial data lake
AWS IoT SiteWise storage supports multiple tiers for equipment data. SiteWise is designed to help you by keeping recent data in hot tier and moving historical data to a cost optimized storage tier based upon policies.
Asset modeling
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.
Asset transforms and metrics
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 for equipment data, transforms and metrics. These computed aggregates can be visualized using SiteWise Monitor web applications and queried by custom applications.
On-premises data collection, processing, and monitoring
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.
Once data is collected, SiteWise Edge helps you filter data streams by sampling or comparing against a specified criterion, define asset metrics, 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. 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.
Data ingestion
SiteWise supports performant retrieval of operational data for insights and analytical workloads. You can use SQL for ad-hoc analysis or to offload data for business intelligence and Artificial Intelligence/Machine Learning applications. The service is designed to allow custom edge and cloud applications to use query APIs to retrieve asset data and computed metrics from the AWS IoT SiteWise time series data store or a publish/subscribe interface to consume a stream of structured IoT data.
Buffered ingestion
Define what data sets are needed in the cloud at different velocities to support different use cases.
Gateway management
The service is designed so you can configure and monitor edge gateways across 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 your production lines from one place.
SiteWise Monitor
AWS IoT SiteWise is designed to help you create 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 SiteWise Edge software is designed to help you deploy these web applications locally so you can visualize equipment data on the factory floor.
Alarms
To help you assess equipment behavior or identify equipment performance issues, you can define and update alarms, and configure alarm notifications You can set specific alarm rules, choose their severity, and select notification methods. Operators can then manage these alarms and even link them to other AWS services for integrated notifications.
Anomaly detection
Identify and visualize changes in equipment or operating conditions with anomaly detection. SiteWise is designed to manage machine learning models, helping customers to detect equipment anomalies.
Generative AI-powered assistant
AWS IoT SiteWise Assistant is designed to leverage your operational data, product documentation, standard procedures, and semantic relationships to generate event alarm summaries and provide contextual answers to questions.
Additional Information
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.