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AWS IoT SiteWise is now available in the Sydney and Singapore AWS Regions, extending the footprint to 6 AWS Regions. View the full article

AWS IoT SiteWise now supports table charts in AWS IoT SiteWise Monitor. With table charts, you can have a compact representation of the latest data from your equipment in a simple table simply by dragging and dropping the data and metrics you are interested in monitoring into a table. For example, you can now easily tabulate and visualize the latest key operational metrics like equipment properties, status, or aggregate functions such as the production lines’ Overall Equipment Effectiveness (OEE) in a single table, making it easy for you to get a bird’s eye view of your plant and also do a side by side comparison of how these assets are performing. You can learn more about table charts here. View the full article

AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale to help you make better, data-driven decisions. View the full article

AWS IoT SiteWise now supports ingestion of data that is up to 7 days old (extended from 15 mins). Late data may be ingested in to AWS IoT SiteWise using the AWS IoT SiteWise connector (which runs on your edge devices), AWS IoT Core or the BatchPutAssetPropertyValue API directly. This would enable you to transmit any accumulated data to AWS IoT SiteWise when recovering from intermittent connectivity issues. To get the most out of this feature, please upgrade to version 8 (latest) of IoT SiteWise connector that runs on AWS IoT Greengrass. AWS IoT SiteWise automatically calculates (or recalculates) related transforms or metrics on arrival of late data. To learn more, visit the late data ingestion page in the AWS IoT SiteWise user guide. View the full article

AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale to help you make better, data-driven decisions. View the full article

AWS IoT SiteWise now supports AWS CloudFormation, enabling customers to create and manage SiteWise Asset Models, Assets and Gateway resources using CloudFormation. View the full article

AWS IoT SiteWise, a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale, now supports three new visualization options in SiteWise Monitor: AWS IoT SiteWise Monitor now supports Status charts, a chart type that visualizes data that has a small number of well-defined states. With Status charts, you can now visualize live equipment status as a grid, or view historical status as a timeline simply by configuring conditional thresholds using <, >, ≤, ≥, and = operators and assigning colors to the thresholds. For example, for a temperature sensor, you can define a temperature value greater than, say, 80° F as “RED” and anything less than or equals to 80° F as “GREEN” so that you can easily visualize whether the temperature is currently RED (above 80° F) or GREEN (less than or equals to 80° F), or when the temperature has been GREEN and RED over a period of time in the past. AWS IoT SiteWise Monitor now supports Scatter charts, a chart type that helps customers visualize distinct data points (without connecting lines) for live and historical operational data. With Scatter charts, you can look for any correlations between the measured values over a period of time. Scatter charts provide a cleaner visualization of the overall spread of operational data from processes, devices, and equipment plotted against time. Scatter charts also help with visualizing and comparing sensor data and manually-ingested data in the same chart in SiteWise. AWS IoT SiteWise Monitor now supports Trend lines, a linear regression line that best approximates the relationship between measured data and time. With Trend lines, you can now intuitively identify gradual shifts and changes in your live and historical data simply by adding trend lines to any of your Line, Scatter, and Bar charts. For example, in a windfarm, if you see a gradual decline in the power output trend line from a wind turbine while there is a flat and steady wind speed trend line, you can easily identify a power conversion efficiency issue with the wind turbine and immediately deploy field technicians to inspect and troubleshoot the wind turbine. View the full article