I have an experimental setup which is composed of six illuminance sensors in a room.
From these sensors I would like to determine the percentage area of the room that is capable of achieving an illuminance of 200lux.
The sensors are on a LoRaWan network so I have managed (via The Things Network) to get the live data into Grasshopper using a webhook and a http listener (credit to the Swiftlet plugin).
In order to get the most accurate floor area reading that I can I am thinking that I should:
- Represent the room with a finer grid in grasshopper (something like 24 cells).
- Read in the six illuminance values that have been recorded and attribute them to the correct cell in the grid.
- Work out the correct illuminance values for the remaining cells via interpolation.
- Add up the areas for all cells where an illuminance above 200lux is either measured or estimated.
Is anybody aware of an existing tool/plugin/workflow that could be used for this application.
I’d be very grateful if anybody could point me in the right direction on this.
Many thanks,
Rory