Computing device and method for inferring via a neural network a two-dimensional temperature mapping of an area

A non-transitory computer program product comprising instructions executable by a processing unit of a computing device, the execution of the instructions by the processing unit of the computing device providing for inferring via a neural network a two-dimensional temperature mapping of a room of a building by:

• storing a predictive model generated by a neural network training engine in a memory of the computing device;
• receiving by the processing unit of the computing device a plurality of temperature measurements transmitted by a corresponding plurality of temperature sensors located at a corresponding plurality of locations on an interface of a ceiling and walls of the room;
• executing by the processing unit of the computing device a neural network inference engine using the predictive model for inferring outputs based on inputs, the inputs of the neural network inference engine comprising the plurality of temperature measurements, the outputs of the neural network inference engine consisting of a plurality of inferred temperature values at a corresponding plurality of zones, the plurality of zones being comprised in a two-dimensional grid mapped on a plane within the room;
• and
• generating by the processing unit of the computing device one or more command for controlling one or more appliance based at least on the plurality of inferred temperature values.

A computing device for inferring via a neural network a two-dimensional temperature mapping of a room of a building, the computing device comprising:

• at least one communication interface;
• memory for storing a predictive model generated by a neural network training engine;
• and
• a processing unit for:
• receiving via the at least one communication interface a plurality of temperature measurements transmitted by a corresponding plurality of temperature sensors located at a corresponding plurality of locations on an interface of a ceiling and walls of the room;
• executing a neural network inference engine using the predictive model for inferring outputs based on inputs, the inputs of the neural network inference engine comprising the plurality of temperature measurements, the outputs of the neural network inference engine consisting of a plurality of inferred temperature values at a corresponding plurality of zones, the plurality of zones being comprised in a two-dimensional grid mapped on a plane within the room;
• and
• generating one or more command for controlling one or more appliance based at least on the plurality of inferred temperature values.