Introducing new visualization features in AWS IoT SiteWise: Status Charts, Scatter Plot and Trend lines
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.
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.