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node-red-contrib-interpolate

v0.0.4

Published

Node-RED node for 1-D linear interpolation of data points

Readme

node-red-contrib-interpolate

This node adds simple linear interpolation for cases where only a discrete set of data points for some quantity is provided/known but a value must be computed for any input

Example

A set of temperatures at given heights above ground is known; from this data set we now want to estimate the temperature at any height above ground.

Use

The node needs two kinds of messages to perform interpolation:

  • messages with topic datagrid define the grid of x/y value pairs that serve as basis for the interpolation
  • messages with the actual input data

Data grid

The payload of datagrid messages must have the form:

{
    x: [0.1, 0.2, 0.5, 1.0, 2.1, 10, 100],
    y: [23, 22.9, 22.7, 22.5, 22, 21, 19]
}

Here, x would be height and y would be the temperature from our example above.

Input

The input for the actual interpolation must have the form

{
    x: 42
}

which would, in our example above, calculate the temperature at a height of 42 meters.

Configuration

The configuration of the node allows to select a specified context store for storing the data grid. See https://nodered.org/docs/user-guide/context#context-stores for details on context stores.

Limitations

  • The node only performs linear interpolation.
  • The node only performs one-dimensional interpolation.
  • The node only performs interpolation, not extrapolation. If one would e.g. calculate the temperature at a height of 200 meters in our example above, the node would just return the last available value of the grid (i.e. the temperature at 100 meters height.)

Note, however, that the data points don't have to be spaced equally (also compare the example above).