Context specific management in wireless sensor network

• US 9,316,720 B2
• Filed: 08/20/2014
• Issued: 04/19/2016
• Est. Priority Date: 02/28/2014
• Status: Active Grant

• Current Assignee: Tyco Fire & Security GmbH (Johnson Controls International plc)
• Original Assignee: Tyco Fire & Security GmbH (Johnson Controls International plc)
• Inventors: Rasband, Paul B.
• Primary Examiner(s): Nguyen, Tai T
• Application Number:
  US14/463,733
• Publication Number:
  US 20150287303A1
• Time in Patent Office: 608 Days
• Field of Search: 340/541, 340/568.1, 340/572.2, 340/572.4, 340/572.7, 340/5.61
• US Class Current: 1/1
• CPC Class Codes: G01S 5/0236 Assistance data, e.g. base station almanac
• CPC Class Codes: G01S 5/0284 Relative positioning
• CPC Class Codes: G01S 5/0294 Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering
• CPC Class Codes: G06N 5/027 Frames
• CPC Class Codes: G07C 9/20 involving the use of a pass
• CPC Class Codes: G08B 13/00 Burglar, theft or intruder alarms
• CPC Class Codes: G08B 13/19613 Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
• CPC Class Codes: G08B 13/19697 Arrangements wherein non-video detectors generate an alarm themselves
• CPC Class Codes: G08B 13/22 Electrical actuation
• CPC Class Codes: G08B 13/2451 Specific applications combined with EAS
• CPC Class Codes: G08B 13/2491 Intrusion detection systems, i.e. where the body of an intruder causes the interference with the electromagnetic field
• CPC Class Codes: G08B 25/009 Signalling of the alarm condition to a substation whose identity is signalled to a central station, e.g. relaying alarm signals in order to extend communication range
• CPC Class Codes: G08B 25/10 using wireless transmission systems G08B25/009 takes precedence
• CPC Class Codes: G08B 7/062 indicating emergency exits
• CPC Class Codes: G08B 7/066 guiding along a path, e.g. evacuation path lighting strip
• CPC Class Codes: H04L 45/74 Address processing for routing
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 : Location-based management or tracking services
• CPC Class Codes: H04W 4/80 : Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• CPC Class Codes: H04W 84/18 : Self-organising networks, e.g. ad-hoc networks or sensor networks
• CPC Class Codes: H04W 88/16 : Gateway arrangements

Abstract

A networked system for managing a physical intrusion detection/alarm includes an upper tier of server devices, comprising: processor devices and memory in communication with the processor devices, a middle tier of gateway devices that are in communication with upper tier servers, and a lower level tier of devices that comprise fully functional nodes and constrained nodes. The networked has a device configured to receive sensory inputs from credentials or badges and determine virtual groups of individuals associated with received credential data and apply rules to grouping information to track and detect individuals within virtual groups.

Claims

1. A networked system for physical intrusion detection/alarm monitoring comprises;

one or more computing devices, comprising processor devices and memory in communication with the processor devices, configured to;

receive sensory inputs from credentials or badges affixed to individuals containing wireless network nodes within a monitored premises;

determine virtual groups of individuals associated with the received credential data by determining from the received inputs relative proximity of individuals to each other over periods of time;

store the determined virtual groups of individuals into a list of tag locations as grouping information;

modify the grouping information over time frames of configurable duration, based on the virtual groupings by changing the list of tag locations for each virtual group as virtual group membership changes; and

apply rules set to the grouping information to track and detect individuals within the virtual group.

2. The networked system of claim 1 wherein locations of individuals are determined by triangulation of credential data from at least one of plural credential reading devices or transmission power level sweeping.

3. The networked system of claim 1 wherein messages are passed between name badge nodes and other sensor network nodes in a premises that is monitored.

4. The networked system of claim 1, further comprising:

a network gateway, and wherein after a period of time an application running in the network gateway computes the location of each of the individuals and a group identifier application scans the list of tag locations.

5. The networked system of claim 1 wherein the groupings are dynamic in that the groupings form, dissolve, and otherwise change in real-time as new information is made available regarding current locations of the individuals.

6. The networked system of claim 1 wherein the groupings are “

fuzzy”

in that a given individual is assigned to a group with a certain degree of certainty/uncertainty derived from past experience.

7. The networked system of claim 1 wherein the one or more computing devices are further configured to:

apply rules to define a test for virtual group membership.

8. The networked system of claim 1 wherein the one or more computing devices is a single device in the networked system.

9. The networked system of claim 1 wherein the one or more computing devices is a plurality of distributed devices of a set of end-nodes and combinations of network nodes and hosts.

10. The networked system of claim 1 wherein the rules applied are context specific rules or sets of rules that are application code modules loaded into the devices and that change over time, using real-time code relocation and execution.

11. The networked system of claim 1 wherein the rules applied are context specific rules or sets of rules that are application code modules loaded into the devices and that change over time, using real-time code relocation and execution and with the context specific rule implement application logic for context specific management to determine associations among individuals based on a determined associative expectation.

12. A method of detection of physical intrusion within a monitored area, the method comprising:

receiving by one or more computing devices, sensory inputs from credentials or badges affixed to individuals containing wireless network nodes within a monitored premises;

determining by the one or more computing devices, virtual groups of individuals associated with the received credential data by determining from the received inputs relative proximity of individuals to each other over periods of time;

storing by the one or more computing devices, the determined virtual groups of individuals into a list of tag locations as grouping information;

modify by the one or more computing devices the grouping information over time frames of configurable duration, based on the virtual groupings by changing the list of tag locations for each virtual group as virtual group membership changes; and

applying by the one or more computing devices, a rules set to the grouping information to track and detect individuals within the virtual groupings.

13. The method of claim 12 further comprising:

receiving by the one or more computing devices, modifications of the rules; and

updating sensors on the network according to the modifications made to the rules.

14. The method of claim 12 wherein locations of individuals are determined by triangulation of credential data from at least one of plural credential reading devices or transmission power level sweeping.

15. The method of claim 12, further comprising:

computing by an application running on a network gateway system, the location of each of the individuals; and

scanning by an application running in the network gateway system the list of tag locations.

16. The method of claim 12 wherein the groupings are dynamic in that the groupings form, dissolve, and otherwise change in real-time as new information is made available regarding current locations of the individuals.

17. The method of claim 12 wherein the groupings are “

fuzzy”

in that a given individual is assigned to a group with a certain degree of certainty/uncertainty derived from past experience.

18. The method of claim 12 wherein the one or more computing devices are further configured to:

apply rules that define a test for virtual group membership.

19. The method of claim 12 wherein the one or more computing devices is a plurality of distributed devices of a set of end-nodes and combinations of network nodes and host systems and applying rules further comprises:

applying by the distributed devices the rules that are context specific rules or sets of rules that are application code modules loaded into the devices and that change over time, using real-time code relocation and execution.

20. The method of claim 12 wherein the one or more computing devices is a plurality of distributed devices of a set of end-nodes and combinations of network nodes and host systems and applying rules further comprises:

applying by the distributed devices the rules that are context specific rules or sets of rules that are application code modules loaded into the devices and that change over time, using real-time code relocation and execution and with the context specific rule implement application logic for context specific management to determine associations among individuals based on a determined associative expectation.