Method and apparatus for tiered analytics in a multi-sensor environment

A computer implemented method comprises:

• collecting by a local computer system, sensor information from plural sensor devices deployed in a premises, the sensor information including an identity of the premises, physical objects being monitored by the plural sensor devices in the identified premises, and sensor data collected from the plural sensors;
• configuring the local computer system with a configuration file that determines processing performed by the local computer system, with the configuration file including a listing of analytics to execute on the local computer system and a listing of plural sensor devices from which the local computer system collects the sensor data;
• with the local computer system configured by the configuration file for:
• executing by the local computer system one or more unsupervised learning models identified from the listing of analytics to continually analyze the sensor data to produce operational states of the sensor devices and sequences of state transitions, detecting one or more local drift sequences by correlating the one or more determined sequences of state transitions to one or more stored learned conditions, and reporting the one or more local detected drift state sequences while transferring processing control of the collected sensor information from the local computer to a remote computer system for continued processing of the one or more unsupervised learning models;
• receiving by the remote computer system, an indication of a transfer of processing control from the local computer system to the remote computer system;
• receiving by the remote computer system, the collected sensor information;
• producing or retrieve new analytics or rules based on the one or more local drift sequences;
• packaging the produced or retrieved new analytics or rules in one or more new configuration files;
• sending the one or more new configuration files to the local computer system for processing;
• and
• detecting by the remote computer system one or more remote drift sequences.

A networked system, comprising:

• a local computer configured to:
• configure the local computer system with a configuration file that determines processing performed by the local computer system, wherein the configuration file includes a listing of analytics to execute on the local computer system and a listing of sensor devices from which the local computer system collects sensor data, the local computer system configured by the configuration file to:
• collect the sensor data;
• execute one or more unsupervised learning models that are identified in the listing of analytics, which one or more unsupervised learning models analyze the sensor data to produce operational levels of at least some of the sensor devices, and local determined sequences of state transitions;
• detect one or more local drift state sequences by correlating the one or more local determined sequences of state transitions to one or more stored determined conditions;
• and
• report the one or more local detected drift state sequences while transferring processing control of the collected sensor information from the local computer to a remote computer system for continued processing of the one or more unsupervised learning models, and
• the remote computer system configured to:
• receive an indication of a transfer of processing control from the local computer system to the remote computer system;
• receive the sensor data;
• produce or retrieve new analytics or rules based on the one or more local drift state sequences;
• package the produced or retrieved new analytics or rules in one or more new configuration files;
• send the one or more new configuration files to the local computer system for processing:
• and
• detect one or more remote drift state sequences.