Genetic learning for environmental control automation

A non-transient computer-readable medium having stored thereon instructions that, when executed by a processor, configure the processor to:

• receive a first device report from a first environmental control device, which device report comprises at least one of event and state information for the first environmental control device;
• sort the device report by location and environmental control device;
• define a first scene comprising a first combination of device events and device status and a first scene trigger;
• define a second scene comprising a second combination of device events and device status and a second scene trigger;
• create a first scene trigger group comprising scenes associated with the first and second scene triggers;
• and
• utilize a fitness function to determining a scene trigger score for the scenes in the first scene trigger group.

A computer implement method of registering environmental control devices for use in an environmental control system, the method comprising:

• at a first computer, receiving a first set of device commands and attributes for a first environmental control device;
• assigning a first device identifier to the first environmental control device;
• receiving a second set of device commands and attributes for a second environmental control device;
• assigning a second device identifier to the second environmental control device;
• wherein the first and second set of attributes comprise a common location;
• for environmental control devices in the common location, performing a genetic operator on the sets device commands to generate scene candidates;
• and
• performing a fitness function on the scene candidates to develop a scene trigger score.