SYSTEM AND METHOD FOR THREAT PROPAGATION ESTIMATION

• US 20100204969A1
• Filed: 09/19/2007
• Published: 08/12/2010
• Est. Priority Date: 09/19/2007
• Status: Abandoned Application

• Current Assignee: United Technologies Corporation (Raytheon Technologies Corporation d/b/a RTX)
• Original Assignee: United Technologies Corporation (Raytheon Technologies Corporation d/b/a RTX)
• Inventors: Smith, Troy Ray, Narayanan, Satish, Banaszuk, Andrzej, Hariharan, Nathan S.
• Application Number:
  US12/733,757
• Publication Number:
  US 20100204969A1
• Time in Patent Office: Days
• US Class Current: 703/2
• CPC Class Codes: G08B 31/00 Predictive alarm systems characterised by extrapolation or other computation using updated historic data

Abstract

A threat propagation estimator generates threat propagation estimates for a region based on a combination of sensor data (z) and model-based threat propagation estimates. The threat propagation estimator receives sensor data (z) from one or more sensor devices, and employs threat propagation model (M) to generate a model-based threat propagation estimate. A threat propagation algorithm (20) is used to combine the sensor data (z) and the model-based threat propagation estimate to generate a threat propagation estimate (Jc).

Claims

1. A system for generating threat propagation estimates for a region, the system comprising:

an input operably connected to receive sensor data from one or more sensor devices;

a threat propagation estimator operably connected to the input, wherein the threat propagation estimator executes an algorithm to generate a threat propagation estimate for a region based on the received sensor data and a model-based threat propagation estimate generated by a threat propagation model; and

an output operably connected to the threat propagation estimator to communicate the threat propagation estimate generated by the threat propagation estimator.

2. The system of claim 1, wherein the threat propagation model generates the model-based threat propagation prediction based, in part, on a previous threat propagation estimate.

3. The system of claim 1, wherein the algorithm executed by the threat propagation estimator calculates a weighting parameter based on the received sensor data, the threat propagation model, and a sensor model and generates the threat propagation estimate based on the calculated weighting parameter.

4. The system of claim 1, wherein the threat propagation estimator generates the threat propagation estimates in real-time.

5. The system of claim 1, wherein the threat propagation estimate is an estimate of a distribution of particles in the region, a probability associated with the estimate of particle distribution, a reliability estimate, an estimate regarding a source of the threat, an estimate regarding estimated propagation of the threat at future points in time, or a combination thereof.

6. The system of claim 5, wherein the reliability estimate includes a covariance value or a standard deviation value calculated with respect to the region.

7. The system of claim 1, wherein the threat propagation model is a mathematical model, a computer simulation, a statistical model, or a combination thereof.

8. The system of claim 7, wherein the threat propagation model is generated in response to a computational fluid dynamic model, a zonal model, or a combination thereof.

9. The system of claim 1, wherein the algorithm employed by the threat propagation estimator is an Extended Kalman Filter that generates threat propagation estimates that include a probability associated with a threat propagating to the region and a covariance associated with each probability.

10. The system of claim 1, wherein the system is a centralized system in which the threat propagation estimator is operatively connected to receive data from a plurality of sensors located throughout the region and in response generates the threat propagation estimate.

11. The system of claim 1, wherein the system is a distributed system including a plurality of threat propagation estimators, wherein each of the plurality of threat propagation estimators receives sensor data associated with a proximate location of the region and executes an algorithm to generate a threat propagation estimate for the proximate location based on the received sensor data and a threat propagation model associated with the proximate location.

12. The system of claim 11, wherein one of the plurality of threat propagation estimators is connected to an adjacent threat propagation estimator to receive threat propagation estimates generated by the adjacent threat propagation estimator with respect to a distal, location, wherein the threat propagation estimator incorporates the threat propagation estimate with respect to the distal location in generating the threat propagation estimate for the proximate location.

13. The system of claim 11, wherein one of the plurality of threat propagation estimators is connectable to receive sensor data from both a proximate location and a distal location, wherein the threat propagation estimator incorporates the sensor data received with respect to the distal location in generating the threat propagation estimate for the proximate location.

14. A method for estimating threat propagation in a region, the method comprising:

acquiring sensor data from one or more sensor devices;

calculating a model-based threat propagation estimate based on a threat propagation model that predicts movements of threats within a region; and

generating a threat propagation estimate for the region based on a combination of the acquired sensor data and the model-based threat propagation estimate.

15. The method of claim 14, wherein calculating the model-based threat propagation estimate includes applying the threat propagation model to a previous threat propagation estimate.

16. The method of claim 14, wherein generating a threat propagation estimate further includes:

calculating a weighting parameter associated with the acquired sensor data and the model based threat propagation estimate; and

generating the threat propagation estimate based, in addition, on the calculated weighting parameter.

17. The method of claim 14, wherein the threat propagation model generates the mode-based threat propagation estimate in real-time.

18. The method of claim 16, wherein generating an occupancy estimate further includes:

calculating a measurement prediction based on the model-based threat propagation estimate and a sensor model;

calculating an innovation estimate based on a comparison of the measurement prediction to the acquired sensor data; and

applying the weighting parameter to the innovation estimate and combining with the measurement prediction to generate the occupancy estimate.

19. A threat estimation system, comprising:

means for acquiring sensor data relevant to threat detection;

means for calculating a model-based threat propagation estimate based on a threat propagation model that predicts the propagation of threats within a region; and

means for generating an threat propagation estimate based on a combination of the acquired sensor data and the model-based threat propagation estimate.

20. A distributed system for estimating the propagation of threats within a region, the system comprising:

a first threat propagation estimator connectable to receive sensor data associated with a first location and for executing an algorithm to generate a first threat propagation estimate for the first location based on the received sensor data associated with the first location and a model-based threat propagation estimate generated for the first location by a first threat propagation model; and

a second threat propagation estimator connectable to receive sensor data associated with a second location and for executing an algorithm to generate a second threat propagation estimate for the second location based on the received sensor data associated with the second location and a model-based threat propagation estimate generated for the second location by a second threat propagation model.

21. The distributed system of claim 20, further including:

a communication network connecting the first threat propagation estimator to the second threat propagation estimator, wherein the first threat propagation estimator communicates the first threat propagation estimate to the second threat propagation estimator.

22. The distributed system of claim 21, wherein the second threat propagation estimator communicates the second threat propagation estimate to the first threat propagation estimator, wherein the first threat propagation estimator generates the first threat propagation estimate based, in addition, on the second threat propagation estimate.

23. The distributed system of claim 20, wherein the first threat propagation estimator is connectable to receive sensor data associated with the second location, wherein the first threat propagation estimator generates the first threat propagation estimate based, in addition, on the sensor data associated with the second location.

24. A computer readable storage medium encoded with a machine-readable computer program code for generating threat propagation estimates for a region, the computer readable storage medium including instructions for causing a controller to implement a method comprising:

acquiring sensor data from one or more sensor devices;

calculating an model-based threat propagation estimate based on a threat propagation model that predicts movements of threats within a region; and

generating a threat propagation estimate for the region based on a combination of the acquired sensor data and the model-based threat propagation estimate.