SYSTEM AND METHOD FOR PREMISES MONITORING AND CONTROL USING SELF-LEARNING DETECTION DEVICES

• US 20090027196A1
• Filed: 10/24/2007
• Published: 01/29/2009
• Est. Priority Date: 03/07/2007
• Status: Abandoned Application

• Current Assignee: Optimal Innovations Incorporated
• Original Assignee: Optimal Innovations Incorporated
• Inventors: Schoettle, Roland
• Application Number:
  US11/923,176
• Publication Number:
  US 20090027196A1
• Time in Patent Office: Days
• US Class Current: 340/541
• CPC Class Codes: G08B 13/10 by pressure on floors, floor coverings, stair treads, counters, or tills
• CPC Class Codes: G08B 21/0469 Presence detectors to detect unsafe condition, e.g. infrared sensor, microphone G08B21/0476 takes precedence

Abstract

The present invention is directed to systems and methods in which monitors track their respective parameters. Based on the learned activity, the monitors control operational aspects of the premises. The monitors thus learn and remember how the premises is used. When a possible trouble condition is detected, the system compares a detected parameter against parameters expected at that day and time in order to determine the action to be taken. In one embodiment the system learns and remembers the cyclical repetition and frequency of parameters, for example, of someone with a cane or limp, or a small person with a short gait as compared to a tall person with a longer stride.

Claims

1. A system comprising:

at least one sensor;

a memory for storing a plurality of sensor readings from said sensor over a period of time; and

a processor for determining, based on stored ones of said sensor readings, that a condition exists with respect to a current sensor reading that warrants action to be taken.

2. The system of claim 1 wherein said stored sensor readings include other parameters associated with said sensor readings and wherein said determining is based, at least in part, on said parameters associated with both said current reading and said stored readings.

3. The system of claim 2 wherein said other parameters are selected from the list consisting of:

time of receipt of one or more readings, number of sensors sending readings, types of sensors, types of readings, relative locations of various sensors sending readings, cyclical repetitions, event duration, number of simultaneous readings.

4. The system of claim 2 wherein said system comprises a communications system capable of communicating with other said systems.

5. The system of claim 4 wherein said communications system collects and sends messages including other parameters associated with said sensor readings of other such said systems and wherein said determining is based, at least in part, on said parameters associated with other such said systems with any combination of current readings of said system, current readings from other such said systems, stored readings of said system, and stored readings from any other such said systems.

6. The system of claim 1 further comprising:

a program for establishing a set of guidelines representative of an anticipated sensor signal that falls within an expected focus of activity; and

wherein said determining is based on said established set of guidelines.

7. The system of claim 6 wherein said guidelines are established by a training process.

8. The system of claim 6 wherein said guidelines are established for a control purpose.

9. The system of claim 6 wherein said guidelines are established for a verification purpose.

10. The system of claim 6 wherein said guidelines are pre-established by a user based on said user'"'"'s preferences.

11. The system of claim 6 wherein said guidelines are based on a predetermined condition.

12. The system of claim 6 wherein said guidelines are based on unknown or unexpected conditions.

13. The system of claim 6 further comprising:

at least one control switch; and

wherein said guidelines include therein a guideline to operate said switch in relationship to a received signal from said sensor as well as from other said sensors.

14. The system of claim 6 further comprising:

at least one power control switch; and

wherein said guidelines include therein a guideline to operate said switch in relationship to a received signal from said sensor.

15. A method for detecting a trouble condition with respect to a premises, said method comprising:

receiving a signal that corresponds to a parameter being monitored at certain positions pertaining to said premises;

creating over time an anticipated pattern of normal activity of said parameter based upon said received signal; and

determining from said received signal in conjunction with said created anticipated pattern of normal activity that said trouble condition exists with respect to said premises.

16. The method of claim 15 wherein said determining is based, at least in part, on at least one of the following:

a time of receipt of said received signal;

the magnitude of said received signal;

the type of said received signal;

a comparison of said received signal with receipt of a signal representative of another action occurring with respect to said premises.

17. The method of claim 16 wherein said anticipated pattern of normal activity for a particular time are determined, at least in part, from one of the following:

by pre-training;

from a user supplied input instruction.

18. The method of claim 16 wherein said other action selected from the list consisting of:

power switch operation, motion sensor detection, premises physical breach detection, sound detection, vibration, light levels, CO₂ levels, temperature, movement pattern detection, voltage, frequency, impedance, RF signals, time, schedule, voice, proximity, occupancy, location, velocity, fire, smoke, electronic messages, medical condition detection, user identification, humidity, barometric pressure, weight, power quality, operating cost, power factor, storage capacity, generation capacity, UPS capacity, battery capacity, inertia, glass break, flooding, CO levels, phasors, ultrasound, infra-red, microwaves, radiation, microbes, bacterium, viruses, germs, diseases, poisons, toxic materials sensors, air quality sensors, laser sensors, load sensors, stress sensors.

19. The method of claim 15 wherein said determining is based, at least in part, on at least one of the following:

a cyclical repetition;

an event'"'"'s duration;

on an event'"'"'s type;

a number of simultaneous readings from a plurality of sources.

20. An alert system comprising;

means for detecting a parameter occurring at a specific location of a premises;

means for comparing a detected parameter with a previously detected parameter occurring at the same time on a previous day; and

means for reporting a possible trouble condition based on said comparing.

21. The alert system of claim 20 wherein said comparing means compares an action sensor parameter of a previous time period to an action sensor parameter of a corresponding time period of a selected time.

22. The alert system of claim 21 further comprising:

means for creating a set of anticipation data to be used by said comparing means to assist in said reporting.

23. The alert system of claim 22 wherein said anticipation data comprises at least one type of data selected from the list consisting of:

time data, anticipated measured parameters;

locations of anticipated parameters;

direction of progression from one location to another of said anticipated weights;

number of sensors sending signals;

relative locations of various sensors sending signals;

magnitude of parameters being applied to a sensor;

shock patterns;

cyclical repetitions;

impact strength;

impact duration;

path taken;

expected path to be taken;

speed;

velocity;

event duration;

number of simultaneous readings;

power switch operation, motion sensor detection, premises physical breach detection, sound detection, vibration, light levels, CO₂ levels, temperature, movement pattern detection, voltage, frequency, impedance, RF signals, time, schedule, voice, proximity, occupancy, location, velocity, fire, smoke, electronic messages, medical condition detection, user identification, humidity, barometric pressure, weight, power quality, operating cost, power factor, storage capacity, generation capacity, UPS capacity, battery capacity, inertia, glass break, flooding, CO levels, phasors, ultrasound, infra-red, microwaves, radiation, microbes, bacterium, viruses, germs, diseases, poisons, toxic materials sensors, air quality sensors, laser sensors, load sensors, stress sensors.