Washing Machine Detection
The Washing Machine algorithms has been developed extensively throughout the past few years. From a model that was using the power data to extract information based on algorithmic logic it became a Machine Learning model, based on 1 second and 10 second data. Depending on the data rate the N2G devices receive data the WM module is set up automatically to the 1 or 10 second data rate model.
Before the prediction phase, there is a pre-processing one, where we calculate the first differences of the power measurements, then data are set between a min and a max value and then are normalised.
The process makes a prediction every 5 minutes.
Command Name | Command ID | Type |
---|---|---|
ZCL_CMD_ID_NILM_WM_SET_PHASE | 0x02 | 17 bytes array |
Payload of 17 bytes is:
spike_lower (4) | t_spike_upper (4) | t_ripple (4) | t_cons_off (4) | phase (1)
Right now LIBN2G supports only phase change from the platform if that is the case in the feature maybe the format of the payload will change as well.
Updated 11 months ago