Create a historical chart to show trends and behavior over time.
For example, you may want to see trends in how tank levels fluctuate over time.
To create a historical chart
Average | The mean value of the data points in the selected resolution interval. |
Close | Final value in the selected resolution interval.
For example, if you set the resolution to hourly, the chart will show the final value for each hour. |
High | Highest value in the selected resolution interval.
For example, if you set the resolution to daily, the chart will show the highest reading for each day. |
Last | Outputs the most recent valid data point. This function is used to extend through gaps in data. |
Low | Lowest value in the selected resolution interval. |
Moving Average | Sums the values of the last period N then divides this by N. N = 'Number of Periods'.
For example, if you set the resolution interval to 15 minutes and the number of periods to 24, the calculation will use the 24 values collected in the last 6 hours. |
Moving Sum | Sums the values of the last period N. N = 'Number of Periods'.
For example, if you set the resolution interval to 15 minutes and the number of periods to 4, you will get the sum for the last hour. |
Open | First value in the selected resolution interval. |
Square Root | Gives the square root of the data point. This is calculated using the average value for the select resolution interval. |
Sum | The sum of all the data points collected in the selected resolution interval.
For example, if the sensor data is collected every 5 minutes and the resolution is set to hourly, this will be the sum of the 12 values collected in the hour. The sum function is particularly useful when looking at volume sensors. |
You can also add historical charts to a workspace from the map:
You can then navigate to the workspace and configure as described above.