Sensor data processing system for various applications

• US 9,940,826 B1
• Filed: 02/22/2017
• Issued: 04/10/2018
• Est. Priority Date: 02/22/2017
• Status: Active Grant

• Current Assignee: Ademco Inc. (Resideo Technologies, Inc.)
• Original Assignee: Honeywell International Inc.
• Inventors: Divakara, Manjunatha, Mewundi, Sudhindra D., Brodsky, Tomas
• Primary Examiner(s): Feild, Joseph
• Assistant Examiner(s): POINT, RUFUS C
• Application Number:
  US15/439,610
• Time in Patent Office: 412 Days
• CPC Class Codes: G08B 13/18 Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
• CPC Class Codes: G08B 21/182 Level alarms, e.g. alarms responsive to variables exceeding a threshold
• CPC Class Codes: G08B 29/183 Single detectors using dual technologies G08B13/1672, G08B13/2448, G08B13/2494 take precedence
• CPC Class Codes: G08B 29/188 Data fusion; cooperative systems, e.g. voting among different detectors
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

A data analysis system and approach having sensors, a collective processing mechanism connected to the sensors, and a threshold logic panel connected to the collective processing mechanism. Raw data from the sensors may be subject to collective processing and collective threshold logic analysis. The collective processing mechanism and the threshold logic panel may be situated outside of or in the cloud. Big data analytics may be performed on the data. The sensors may be homogeneous or heterogeneous. Consequently, there may be data fusion for false alarm reduction and advanced alarm detection, and application of big data analysis. Raw data may be used for determining positional information.

Claims

1. A method of sensor data fusion, comprising:

conveying fault messages from a plurality of detectors to a control panel;

conveying raw microwave data and/or passive infrared (PIR) data from the plurality of detectors to the control panel;

performing fusion of raw data from the plurality of detectors at the control panel; and

processing alarm information from the data as fused at the control panel; and

wherein;

individually X percent is a threshold for alarm detection for the plurality of detectors;

the plurality of detectors comprises n detectors;

each detector has an individual percent of detection;

the control panel comprises collective decision logic that adds the individual percentages of detection of the detectors into an output; and

n is a positive integer.

2. The method of claim 1, further comprising processing the alarm information for alarm management.

3. The method of claim 1, further comprising calculating an overall room response for alarm verification and detection compared against a normal scenario.

4. The method of claim 1, wherein the plurality of detectors comprises at least an audio detector and a motion detector.

5. The method of claim 4, further comprising fusing audio detector data and motion detector data at the control panel.

6. The method of claim 1, wherein if a sum of the individual percentages of detection of the n detectors exceeds a predetermined amount, then an alarm alert is provided by the control panel.

7. A method of sensor data fusion, comprising:

conveying fault messages from a plurality of detectors to a control panel;

conveying raw microwave data and/or passive infrared (PIR) data from the plurality of detectors to the control panel;

performing fusion of raw data from the plurality of detectors at the control panel; and

processing alarm information from the data as fused at the control panel; and

wherein;

the plurality of detectors comprises at least a first motion detector at a first location and a second motion detector at a second location;

the first and second locations are separated by D along a first straight line;

the first motion detector has an X percent detection of an object;

the second motion detector has a Y percent detection of the object;

X plus Y equals 100 percent;

a location of the object is situated at (X/100)*D distance from the second location, on the first straight line connecting the first and second locations.

8. The method of claim 7, wherein:

the location of the object is situated at a G distance along a second straight line from the first straight line; and

the second straight line is perpendicular to the first straight line at (X/100)*D distance from the second location.

9. The method of claim 8, wherein a light closest to the object is switched on.

10. A sensor data fusion system comprising:

a plurality of sensors; and

a panel connected the plurality of sensors; and

wherein;

the panel has an output being a fusion of raw data from the plurality of sensors;

a first sensor of the plurality of sensors is situated at a first position; and

a second sensor is situated at a second position;

the first sensor has an X percent detection of an object;

the second sensor has a Y percent detection of the object;

X percent plus Y percent equals 100 percent;

D is a distance between the first and second positions; and

the object is localized at (X/100)*D from the first sensor.

11. The system of claim 10, wherein:

each sensor has an X percent individual threshold for alarm detection; and

each sensor has a portion of a total of detection for collective decision logic as an output.

12. The system of claim 10, wherein at least two sensors can be heterogeneous.

13. A data analysis mechanism comprising:

a plurality of sensors;

a consolation mechanism connected to the plurality of sensors; and

a threshold logic panel connected to the consolation mechanism; and

wherein;

individually X percent is a threshold for alarm detection by the plurality of sensors;

each sensor has an individual percent of detection;

the consolidation mechanism comprises collective decision logic that adds the individual percentages of detection of the sensors into an output; and

the threshold logic panel determines whether the output exceeds the threshold to result in an alarm alert.

14. The mechanism of claim 13, wherein the consolation mechanism and the threshold logic panel are situated in a cloud.

15. The mechanism of claim 13, wherein:

the consolation mechanism consolidates raw data from the plurality of sensors; and

the threshold logic panel applies threshold logic to consolidated data.

16. The mechanism of claim 15, wherein the threshold logic is applied by the threshold logic panel to the consolidated data to confirm any alarms revealed by the consolidated data and to provide advanced alarm detection.

17. The mechanism of claim 16, wherein the threshold logic panel applies homomode and heteromode threshold logic to the consolidated data from the consolation mechanism.