In the context of data retrieval, what does the 'Integral' function compute?

The Integral function is designed to calculate the cumulative sum of data points over a specified time period. This function is particularly useful in scenarios where one needs to understand the total accumulated value, such as energy usage over time or total production output. By applying the Integral function, users can convert discrete data entries into a continuous representation, effectively measuring the area under the curve of a time series.

This cumulative summation helps in various analyses, allowing operators to make informed decisions based on total contributions or aggregates rather than individual data points. Understanding how accumulated totals change over time is crucial in many industrial applications, making the Integral function a vital tool in data retrieval and analysis within the AVEVA Historian context.