Method and apparatus for automation of a programmable device

• US 8,849,462 B2
• Filed: 12/02/2009
• Issued: 09/30/2014
• Est. Priority Date: 12/02/2009
• Status: Active Grant

• Current Assignee: Velvetwire LLC
• Original Assignee: Velvetwire LLC
• Inventors: Bodnar, Eric O.
• Primary Examiner(s): Jarrett, Ryan
• Application Number:
  US12/629,865
• Publication Number:
  US 20110118857A1
• Time in Patent Office: 1,763 Days
• Field of Search: None
• US Class Current: 700/276
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: G05B 13/0265 the criterion being a learning criterion
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/25377 New sequence as function of deviation from predicted result, state
• CPC Class Codes: G05B 2219/2614 HVAC, heating, ventillation, climate control
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G05D 23/19 characterised by the use of electric means G05D23/1393 takes precedence
• CPC Class Codes: G05D 23/1904 variable in time
• CPC Class Codes: G06N 20/00 Machine learning

Abstract

A method and apparatus for a computer-implemented adaptive automation module comprising an event recorder to store one or more events for a predetermined period, and a timeline pattern generator logic to create a timeline for the predetermined period. The module further comprising marker creator logic to generate a marker to abstract the timeline data from the event data for controlling a device.

Claims

1. A computer-implemented adaptive automation module comprising:

an event recorder configured to store one or more events in memory for a predetermined period;

a timeline pattern generator logic configured to create a timeline of the events for the predetermined period, the timeline including a plurality of slots, the plurality of slots dividing the predetermined period unevenly, a slot granularity of the plurality of slots depending on a level of activity expected, the timeline comprising a histogram of the events;

a processor to implement a marker creator logic configured to generate a plurality of markers to indicate a beginning and an end for a stretch of activity defined by the events on the timeline, wherein the marker creator logic adds a marker to the timeline when an activity value for the slot and an activity value for a subsequent slot do not match;

control logic to control a device based on the plurality of markers.

2. The adaptive automation module of claim 1, wherein the marker creator logic comprises:

a marker generator to generate the marker based on the timeline;

a marker adjuster to adjust the marker based on the one or more events; and

a marker weight assignor to assign a weight to the marker.

3. The adaptive automation module of claim 2, wherein the weight for the marker is computed based on a time range of the marker and a number of events within the time range of the marker.

4. The adaptive automation module of claim 2, wherein the marker generator is to evaluate each of the plurality of slots in the timeline, determine whether an activity value matches the activity value for a subsequent slot in the timeline, and add a marker to a list of markers if the activity value for the current slot and the activity value for the subsequent slot do not match.

5. The adaptive automation module of claim 2, wherein the marker adjustor is further to scan the one or more events for an outlier event occurring near the marker, and computing an adjusted time for the marker based on a time of the outlier event.

6. The adaptive automation module of claim 2, wherein the marker weight assignor is further to identify in-range events occurring within a time range of a marker, and assigning the weight to the marker based on a proximity of the in-range events to the marker.

7. The adaptive automation module of claim 1, further comprising:

an efficiency profile based on the plurality of markers to set a pattern used by the control logic to control the device.

8. The adaptive automation module of claim 1, further comprising a low pass filter to remove oscillations from the timeline.

9. The adaptive automation module of claim 1, wherein the marker creator logic further is to qualify the marker using external data.

10. The adaptive automation module of claim 9, wherein when the device controlled by the module is a temperature control system, the external data comprises at least one of:

time of day information, ambient light information, weather information, pricing information, and demand response data.

11. The adaptive automation module of claim 1, wherein the device comprises one of:

a residential heater/cooler, a pool heater, a water heater, irrigation controller, and an appliance.

12. A system comprising:

a device to control an environment, the device including on and off controls;

a sensor; and

an adaptive automation module to generate a control signal to turn the device on and off, the adaptive automation module coupled to the sensor, the adaptive automation module comprising;

an event recorder configured to store one or more usage events for a predetermined period;

a timeline pattern generator logic configured to create a timeline of the usage events for the predetermined period, the timeline comprising a histogram of the usage events, the timeline comprising a plurality of slots that divide the predetermined period unevenly, a slot granularity depending on a level of activity expected, wherein each usage event is placed into a nearest slot;

a marker creator logic configured to generate a plurality of timeline markers to indicate a beginning and an end for each stretch of activity defined by the usage events in the timeline;

an efficiency profile based on the plurality of timeline markers to set an optimal pattern to turn on and off the device; and

a control logic to control the device.

13. The system of claim 12, wherein slots represent shorter periods of time at times when more activity is expected, and longer periods of time at times when less activity is expected.

14. The system of claim 12, further comprising:

a marker weight assignor to assign a weight to the marker based on a time range of the marker and a number of events within the time range of the marker; and

a low pass filter to remove oscillations from the timeline.