Correlating event data for large geographic area

• US 7,299,152 B1
• Filed: 10/04/2004
• Issued: 11/20/2007
• Est. Priority Date: 10/04/2004
• Status: Expired due to Fees

• Current Assignee: the united states of america as represented by the secretary of the navy
• Original Assignee: the united states of america as represented by the secretary of the navy
• Inventors: Moritz, Elan
• Primary Examiner(s): WACHSMAN, HAL D
• Application Number:
  US10/962,817
• Time in Patent Office: 1,142 Days
• Field of Search: 702/179, 702/180, 702/187
• US Class Current: 702/179
• CPC Class Codes: G08B 19/00 Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
• CPC Class Codes: G08B 31/00 Predictive alarm systems characterised by extrapolation or other computation using updated historic data
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Abstract

Event data associated with possible terrorist activities occurring at geographically-dispersed locations is monitored and analyzed. Event data collected from the locations is delineated by one or more data classes. Statistical analyses performed on the event data are based on one of a number of unique time periods or blocks. Results of the statistical analyses are used in the performance of a number of correlations in order to identify patterns occurring in the data classes and/or correlations between the data classes.

Claims

1. A method of monitoring and analyzing event data associated with activities of concern, said method comprising the steps of:

collecting raw data packages from a plurality of locations dispersed over a large geographic area, each raw data package originating at a location, each raw data package including data selected from the group of data classes consisting of;

(i) date and time of an event,

(ii) means used to collect said data at said location,

(iii) a record of said event;

(iv) type of said location where said event occurred,

(v) identification data collected at said event and associated with individuals involved in said event,

(vi) a category assigned to said event at said location,

(vii) an evaluation of said event that originates at said location, and

(viii) a response to said event implemented at said location;

performing a plurality of statistical analyses concurrently for each of said plurality of unique time periods using each of said raw data packages wherein statistical results of said statistical analyses are generated, each of said plurality of statistical analyses being based on one of a plurality of unique time periods wherein each of said plurality of statistical analyses relates ones of said raw data packages occurring in a most recent one of said plurality of unique time periods to ones of said raw data packages occurring in historical ones of said plurality of unique time periods;

storing said statistical results in a database;

performing a plurality of correlations using said results to generate correlation results; and

sending an alert to at least a portion of said plurality of locations based on said correlation results.

2. A system for monitoring and analyzing event data associated with activities of concern, said system comprising:

means for collecting raw data packages from a plurality of locations dispersed over a large geographic area, each raw data package originating at a location, each raw data package including data selected from the group of data classes consisting of;

(i) date and time of an event,

(ii) means used to collect said data at said location,

(iii) a record of said event;

(iv) type of said location where said event occurred,

(v) identification data collected at said event and associated with individuals involved in said event,

(vi) a category assigned to said event at said location,

(vii) an evaluation of said event that originates at said location, and

(viii) a response to said event implemented at said location;

means for arranging said data from each of said raw data packages into a standardized template indexed by said data classes;

at least one statistical processor for performing a plurality of statistical analyses using each of said raw data packages arranged in said standardized template wherein statistical results of said statistical analyses are generated, each of said plurality of statistical analyses being based on one of a plurality of unique time periods wherein each of said plurality of statistical analyses relates ones of said raw data packages occurring in a most recent one of said plurality of unique time periods to ones of said raw data packages occurring in historical ones of said plurality of unique time periods;

a database coupled to said at least one statistical processor for storing said statistical results;

at least one correlation processor coupled to said database for performing a plurality of correlations using said statistical results wherein correlation results are generated; and

an alert generating system coupled to said at least one correlation processor for sending an alert to at least a portion of the locations based on said correlation results.

3. A system as in claim 2 wherein said at least one statistical processor utilizes parallel processing to perform said plurality of statistical analyses concurrently for each of said plurality of unique time periods.

4. A system as in claim 2 wherein said at least one correlation processor utilizes parallel processing to perform said plurality of correlations concurrently.

5. A system as in claim 2 wherein said plurality of unique time periods range in duration from approximately 1 minute to a plurality of years.

6. A system as in claim 2 wherein said activities of concern comprise acts of terrorism, and wherein said category assigned to said event defines a likelihood that said event is associated with an act of terrorism.

7. A system as in claim 2 wherein said identification data comprises biometric data collected from said individuals involved in said event.

8. A system as in claim 2 wherein said record of said event comprises at least one of visible images of said event and audible recordings of said event.