Vocal Alert Unit Having Automatic Situation Awareness

• US 20090248398A1
• Filed: 09/13/2006
• Published: 10/01/2009
• Est. Priority Date: 11/03/2005
• Status: Abandoned Application

• Current Assignee: ELTA Systems Limited (Government of Israel)
• Original Assignee: ELTA Systems Limited (Government of Israel)
• Inventors: Aviran, Moshe, Zussman, Alexander
• Application Number:
  US12/084,553
• Publication Number:
  US 20090248398A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G08G 5/0043 Traffic management of multiple aircrafts from the ground G08G5/003 takes precedence; data processing specially designed for resource management, e.g. scheduling or allocating time, human or machine resources G06Q10/06
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04L 67/75 Indicating network or usage conditions on the user display

Abstract

A system and method for instructing dynamic nodes in a dynamically changing mobile network how to maneuver. A receiver receives situation data indicative of a respective situation of each dynamic node in space and a situation unit coupled to the receiver determines the respective situation of each dynamic node. An analysis unit coupled to the situation unit analyzes the respective situation of each dynamic node in combination with specified criteria to generate respective situation awareness date for each dynamic node. A dynamic selector unit coupled to the analysis unit determines from the respective situation awareness data appropriate action to be performed by each node; and a communication unit coupled to the dynamic selector unit conveys to the respective dynamic node command data to permit rendering of a personalized command for informing the respective node of appropriate action to be carried out thereby.

Claims

1. A method for instructing dynamic nodes in a dynamically changing mobile network how to maneuver in order to carry out a target mission or of evasive action they should perform to maneuver out of a path of a perceived threat, said method comprising:

receiving situation data indicative of a respective situation of each dynamic node in space;

determining from said situation data the respective situation of each dynamic node;

analyzing the respective situation of each dynamic node in combination with specified criteria to generate respective situation awareness data for each dynamic node;

determining from the respective situation awareness data appropriate action to be performed by each node; and

conveying to the respective dynamic node command data to permit rendering of a personalized command for informing the respective node of appropriate action to be carried out thereby.

2. The method according to claim 1, wherein the situation data is further indicative of static nodes in the network.

3. The method according to claim 1, wherein the personalized command is rendered vocally at each node.

4. The method according to claim 3, including:

converting the situation awareness data into scheduled sequences of logical data sentences containing suitable directives; and

converting said sequences of logical data sentences into human language sentences for voice-synthesizing by a text-to-speech engine.

5. The method according to claim 4, wherein converting said sequences of logical data sentences into human language sentences includes concatenating command primitives with auxiliary data.

6. The method according to claim 4, including voice-synthesizing the human language sentences prior to transmitting to the respective nodes.

7. The method according to claim 4, including transmitting the human language sentences to the respective nodes in text format for vocalizing by the respective nodes.

8. The method according to claim 5, wherein a characteristic language is associated with at least one of the nodes and the sequences of logical data sentences are converted into human language sentences in said characteristic language.

9. The method according to claim 1, wherein said command data is representative of the constructed personalized command and there is further included using the command data to construct said personalized command.

10. The method according to claim 1, wherein the situation awareness data is indicative of a perceived threat to the respective node and the command data relates to evasive action that should be performed by the respective node.

11. The method according to claim 1, including:

converting the situation awareness data into scheduled sequences of logical data sentences containing suitable directives; and

converting said sequences of logical data sentences into human language sentences.

12. The method according to claim 11, wherein converting said sequences of logical data sentences into human language sentences includes concatenating command primitives with auxiliary data.

13. The method according to claim 11, including transmitting the human language sentences in text format for display by the respective nodes.

14. A system (20) for instructing dynamic nodes in a dynamically changing mobile network how to maneuver in order to carry out a target mission or of evasive action they should perform to maneuver out of a path of a perceived threat, said system comprising:

a receiver (22, 23) for receiving situation data indicative of a respective situation of each dynamic node in space;

a situation unit (24) coupled to the receiver for determining from said situation data the respective situation of each dynamic node;

an analysis unit (28) coupled to the situation unit for analyzing the respective situation of each dynamic node in combination with specified criteria to generate respective situation awareness data for each dynamic node;

a dynamic selector unit (30) coupled to the analysis unit for determining from the respective situation awareness data appropriate action to be performed by each node; and

a communication unit (32) coupled to the dynamic selector unit for conveying to the respective dynamic node command data to permit rendering of a personalized command for informing the respective node of appropriate action to be carried out thereby.

15. The system according to claim 14, wherein the situation data is further indicative of static nodes in the network.

16. The system according to claim 14, wherein the personalized command is rendered vocally at each node.

17. The system according to claim 16, including:

a diagnostics engine (28b) for converting the situation awareness data into scheduled sequences of logical data sentences containing suitable directives; and

a language vocabulary unit (28c) coupled to the diagnostics engine for converting said sequences of logical data sentences into human language sentences.

18. The system according to claim 17, wherein the diagnostics engine is adapted to concatenate command primitives with auxiliary data.

19. The system according to claim 17, wherein a voice synthesis unit (13) is coupled to the language vocabulary unit for voice-synthesizing the human language sentences.

20. The system according to claim 17, wherein the language vocabulary unit generates the human language sentences in text format.

21. The system according to any claim 18, wherein the diagnostics engine is responsive to a characteristic language associated with at least one of the nodes for converting the sequences of logical data sentences into human language sentences in said characteristic language.

22. The system according to claim 14, wherein the dynamic selector unit is adapted to use the command data to construct said personalized command.

23. The system according to any claim 14, wherein the situation awareness data is indicative of a threat to the respective node and the command data relates to evasive action that should be performed by the respective node.

24. The system according to claim 14, including:

a diagnostics engine (28b) for converting the situation awareness data into scheduled sequences of logical data sentences containing suitable directives; and

a language vocabulary unit (28c) coupled to the diagnostics engine for converting said sequences of logical data sentences into human language sentences.

25. The system according to claim 24, wherein the diagnostics engine is adapted to concatenate command primitives with auxiliary data.

26. The system according to claim 24, wherein the language vocabulary unit generates the human language sentences in text format.

27. The system according to any claim 14, wherein the dynamic nodes include aircraft

28. The system according to any claim 14, wherein the receiver has inputs for coupling to external sensors such as radar, SSR and GPS sensors.

29. A computer program product comprising a computer useable medium having computer readable program code embodied therein for instructing dynamic nodes in a dynamically changing mobile network how to maneuver in order to carry out a target mission or of evasive action they should perform to maneuver out of a path of a perceived threat, said computer program product comprising:

computer readable program code for causing the computer to receive situation data indicative of a respective situation of each dynamic node in space;

computer readable program code for causing the computer to determine from said situation data the respective situation of each dynamic node;

computer readable program code for causing the computer to analyze the respective situation of each dynamic node in combination with specified criteria to generate respective situation awareness data for each dynamic node;

computer readable program code for causing the computer to determine from the respective situation awareness data appropriate action to be performed by each node; and

computer readable program code for causing the computer to convey to the respective dynamic node command data to permit rendering of a personalized command for informing the respective node of appropriate action to be carried out thereby.