node-red-contrib-peak-value-range
v0.0.2
Published
A Node-RED node for filtering values within a specified range and finding the peak value.
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Node-RED Peak Value Range Node
This Node-RED node, named "peak-value-range," filters input values within a specified range and calculates the first peak value within that range.
Description
The "peak-value-range" node filters incoming values to ensure they fall within a specified range (minimum and maximum). It then calculates the first peak value within that range and emits it as output. This node is useful for finding the highest value within a specified range of analog or numerical data.
Installation
To install the "peak-value-range" node in your Node-RED environment, you can use the Manage Palette feature or manually copy the node files to your Node-RED nodes directory.
Using Manage Palette (Recommended):
- Open your Node-RED instance.
- Click on the menu icon in the top-right corner and select "Manage palette."
- Go to the "Install" tab, search for "peak-value-range," and click "install."
Manual Installation:
- Copy the "peak-value-range.js" and "peak-value-range.html" files to your Node-RED nodes directory (usually located at
~/.node-red/nodes
).
- Copy the "peak-value-range.js" and "peak-value-range.html" files to your Node-RED nodes directory (usually located at
Usage
- Drag and drop the "peak-value-range" node from the Node-RED palette onto your workspace.
- Configure the node by setting the minimum and maximum values for filtering.
- Connect the "peak-value-range" node to an input source that provides analog or numerical data.
- Deploy your flow.
- The "peak-value-range" node will calculate the first peak value within the specified range and emit it as output.
Configuration
- Minimum Value: The minimum value for filtering input data. Values below this threshold will be ignored.
- Maximum Value: The maximum value for filtering input data. Values above this threshold will be ignored.
License
This Node-RED node is licensed under the GPL-3.0 License.
Author
Harshad Joshi @ Bufferstack.IO Analytics Technology LLP, Pune