FUNCTION-CENTRIC DATA SYSTEM

• US 20130083960A1
• Filed: 11/25/2011
• Published: 04/04/2013
• Est. Priority Date: 09/30/2011
• Status: Abandoned Application

• Current Assignee: Physical Optics Corporation
• Original Assignee: Physical Optics Corporation
• Inventors: Kostrzewski, Andrew, Ro, Sookwang, Lee, Kang, Forrester, Thomas, Jannzon, Tomasz
• Application Number:
  US13/304,515
• Publication Number:
  US 20130083960A1
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: H04W 36/08 Reselecting an access point
• CPC Class Codes: H05K 7/1427 Housings

Abstract

Various embodiments of the invention provide a function centric data system that reduces avionics system weight and power requirements. In some embodiments, the function centric data system is housed in a vibration resistant package. A variety of functions typically performed by other avionics systems are incorporated into the system, allowing centralize power and processing management, reducing weight and improving system reliability. In some embodiments, the function centric data system is configured to provide high rate data sampling, allowing ground stations to apply sophisticated failure prediction algorithms, reducing maintenance costs and mean time between flights. Embodiments include methods of wireless networking with automatic hand offs and adaptive multi-hop topologies to allow this data to be promptly transferred when the aircraft lands. Embodiments also include methods for data processing to predict imminent failures using Bayesian statistics and catastrophe prediction methods.

Claims

1. An electronics housing assembly, comprising:

an electronics housing comprising a housing wall;

the housing wall comprising a plurality of panels;

the panels each comprising a plurality of surfaces, the surfaces of a given panel forming a pseudo-fractal structure on that panel, thereby forming a plurality of pseudo-fractals structures; and

wherein the plurality of pseudo-fractal structures are configured such that the housing wall has a predetermined distribution of resonant frequencies greater than a predetermined threshold frequency.

2. The electronics housing assembly of claim 1, wherein a pseudo-fractal structure of the plurality of pseudo-fractal structures comprises a plurality of grooves etched into a panel of the plurality of panels;

and wherein the grooves define the plurality of surfaces of the panel.

3. The electronics housing assembly of claim 1, wherein the housing comprises a laminate structure, and the pseudo-fractal structure is disposed in an intermediate laminate tier in the housing and surrounds a through hole for a mechanical connector.

4. The electronics housing assembly of claim 1, further comprising:

a second electronics housing comprising a second housing wall;

the second housing wall coupled to the first housing wall, and the second housing wall comprising a second plurality of panels;

the second plurality of panels each comprising a plurality of surfaces, the surfaces of a given panel of the second plurality of panels forming a conjugate pseudo-fractal structure with a corresponding pseudo-fractal structure of the first plurality.

5. The electronics housing assembly of claim 4, further comprising:

a system housing containing the first electronics housing and the second electronics housing; and

a plurality of dampeners coupling the first electronics housing and the second electronics housing to the system housing.

6. The electronics housing assembly of claim 1, wherein the resonant frequencies within the predetermined distribution of resonant frequencies greater than then predetermined threshold frequency are distributed in an interval between 0.8f_c to 1.2f_c, where f_c is the center frequency of the predetermined distribution of resonant frequencies.

7. The electronics housing assembly of claim 1, wherein the maximum amplitude of a resonant frequency of within the predetermined distribution of resonant frequencies is less than a predetermined threshold when the electronics housing assembly is exposed to a predetermined driving vibration.

8. A function centric data system, comprising:

a data acquisition unit, the data acquisition unit comprising;

a first bus coupled to an external bus interface;

a second bus coupled to an internal bus;

a first avionics system module coupled to the first bus and the second bus;

a second avionics system module coupled to the first bus and the second bus;

a bulk memory unit, coupled to the second bus and providing memory for operation of the first and second avionics;

and a plurality of processors coupled to the second bus and executing programs controlling the operation of the first avionics system module and the second avionics system module; and

a control panel communicatively coupled to the data acquisition unit;

a power line coupled to the control panel and the data acquisition unit and providing power to the control panel under control of the data acquisition unit;

a signal line coupled to the control panel and the data acquisition unit to enable the plurality of processors to control operation of the control panel.

9. The function centric data system of claim 8, wherein the first avionics system module comprises a data recorder controlled by the processors, the data recorder configured to sample data provided by external avionics systems at a predetermined sampling rate sufficient to capture a predetermined change in data over a predetermined time interval.

10. The function centric data system of claim 8, wherein the first avionics systems module or the second avionics system module comprises a signal data computer, an advanced signal data computer, a data bus recording module, a crash survivable memory unit, a removable memory module, a cockpit voice recorder, a cockpit video recorder, an analog sensor acquisition unit, an engine monitoring module, or a terrain awareness warning system.

11. The function centric data system of claim 8, wherein the first processor is a main system processor and the second processor is a back up system processor.

12. The function centric data system of claim 11, wherein the first processor is configure to process operations of at least one of the avionics system modules and the back up system processor is configure to process operations for at least one other of the avionics system modules if operation of the other avionics system modules exceeds the first processor'"'"'s processing power.

13. The function centric data system of claim 8, further comprising a plurality of interfaces coupled to the first bus, the plurality of interfaces configured to interface with a corresponding plurality of external avionics systems.

14. The function centric data system of claim 8, wherein the data acquisition unit is configured to implement an operational flight program (OFP), comprising:

identifying a plurality of available OFP modules;

identifying a plurality of communications interfaces;

selecting a set of the plurality of available OFP modules according to the identified plurality of communications interfaces;

diagnosing the functionality of the communications interfaces using the selected set of the OFP modules;

receiving a status report of functional interfaces;

selecting a subset of the set of OFP modules for operation.

15. A method of network communication hand off, comprising

a first network device connecting to a second network device;

the first network device exchanging location information with the second network device;

the first network device exchanging signal strength information with the second network device;

the first network device exchanging antenna gain pattern information with the second network device;

the first network device connecting to a third network device;

the first network device exchanging location information with the third network device;

the first network device exchanging signal strength information with the third network device;

the first network device exchanging antenna gain pattern information with the third network device;

the first network device receiving a request from the second network device to hand off the aircraft communication system to the second network device, the request including location information from the aircraft communication system;

the first network device estimating a future signal strength and data throughput of a connection between the second network device and the aircraft communication system and a future signal strength and data throughput of a connection between the third network device and the aircraft communication system; and

based on the evaluation, granting or denying the hand off request to the second network device.

16. The method claim 15, wherein the request includes velocity vector information from the aircraft communication system.

17. The method of claim 16, further comprising the first network device computing the future location of the aircraft communication system using the velocity vector information to estimate the future signal strength and data throughput.

18. The method of claim 17, wherein the first network device and second network device comprise relay systems for relaying data from the aircraft communication system to a ground station.

19. The method of claim 18, wherein the data comprises data stored in a bulk memory module in a function centric data system.

20. A non-transitory computer readable medium comprising program code configured to cause a first network device to perform a method of communication hand off, comprising

the first network device connecting to a second network device;

the first network device exchanging location information with the second network device;

the first network device exchanging signal strength information with the second network device;

the first network device exchanging antenna gain pattern information with the second network device;

the first network device connecting to a third network device;

the first network device exchanging location information with the third network device;

the first network device exchanging signal strength information with the third network device;

the first network device exchanging antenna gain pattern information with the third network device;

the first network device receiving a request from the second network device to hand off the aircraft communication system to the second network device, the request including location information from the aircraft communication system;

the first network device estimating a future signal strength and data throughput of a connection between the second network device and the aircraft communication system and a future signal strength and data throughput of a connection between the third network device and the aircraft communication system; and

based on the evaluation, granting or denying the hand off request to the second network device.

21. The computer readable medium of claim 20, wherein the request includes velocity vector information from the aircraft communication system.

22. The computer readable medium of claim 21, the method further comprising the first network device computing the future location of the aircraft communication system using the velocity vector information to estimate the future signal strength and data throughput.

23. The computer readable medium of claim 22, wherein the first network device and second network device comprise relay systems for relaying data from the aircraft communication system to a ground station.

24. The computer readable medium of claim 23, wherein the data comprises data stored in a bulk memory module in a function centric data system.

25. A method of network communications, comprising:

a first network device receiving location information of a plurality of proximate network devices;

the first network device broadcasting the first network device'"'"'s location information to the plurality of proximate network device;

the first network device receiving location information and directionality information regarding a base station antenna;

the first network device using the received location information of the plurality of proximate network devices, the location information of the base station antenna, and the directionality information to determine a multi-hop network route between the proximate network devices and the base stations.

26. The method of claim 25, further comprising the first network device maintaining a routing table of routes to the base station antenna via the proximate network devices.

27. The method of claim 26, wherein the routing table includes the location information of the plurality of proximate network devices and the directionality information of the base station antenna.

28. The method of claim 25, further comprising the first network device receiving directionality information of the plurality of proximate network devices.

29. A non-transitory computer readable medium comprising program code configured to cause a first network device to perform a method of network communications, comprising:

the first network device receiving location information of a plurality of proximate network devices;

the first network device broadcasting the first network device'"'"'s location information to the plurality of proximate network device;

the first network device receiving location information and directionality information regarding a base station antenna;

the first network device using the received location information of the plurality of proximate network devices, the location information of the base station antenna, and the directionality information to determine a multi-hop network route between the proximate network devices and the base stations.

30. The computer readable medium of claim 29, the method further comprising the first network device maintaining a routing table of routes to the base station antenna via the proximate network devices.

31. The computer readable medium of claim 30, wherein the routing table includes the location information of the plurality of proximate network devices and the directionality information of the base station antenna.

32. The computer readable medium of claim 29, the method further comprising the first network device receiving directionality information of the plurality of proximate network devices.

33. A method of video processing, comprising:

receiving a video at a predetermined frame rate, the video including images of an articulated object;

identifying a kinematic analog parameterized object from the images of the articulated object;

classifying the kinematic analog parameterized object according whether the kinematic analog parameterized has translational, rotational, gradual, or discrete characteristics;

digitizing the images of the articulated object according to the classification.

34. The method of video processing of claim 33, wherein the articulated object is an avionics instrument display.

35. The method of video processing of claim 33, wherein the articulate object is an aircraft control surface.

36. The method of video processing of claim 33, wherein the video is received from a cockpit video recorder.

37. The method of video processing of claim 33, wherein the articulated object has a predetermined orientation in the images.

38. The method of video processing of claim 33, further comprising:

obtaining a first set of data regarding the articulated object from the digitized images;

obtaining a second set of data regarding the articulated object from a sensor measuring the articulated object or a data source controlling the articulated object;

comparing the first set of data with the second set of data to identify discrepancies.

39. A non-transitory computer readable medium comprising program code configured to cause an electronics device to perform a method of video processing, comprising:

receiving a video at a predetermined frame rate, the video including images of an articulated object;

identifying a kinematic analog parameterized object from the images of the articulated object;

classifying the kinematic analog parameterized object according whether the kinematic analog parameterized has translational, rotational, gradual, or discrete characteristics;

digitizing the images of the articulated object according to the classification.

40. The computer readable medium of claim 39, wherein the articulated object is an avionics instrument display.

41. The computer readable medium of claim 39, wherein the articulate object is an aircraft control surface.

42. The computer readable medium of claim 39, wherein the video is received from a cockpit video recorder.

43. The computer readable medium of claim 39, wherein the articulated object has a predetermined orientation in the images.

44. The computer readable medium of claim 39, the method further comprising:

obtaining a first set of data regarding the articulated object from the digitized images;

obtaining a second set of data regarding the articulated object from a sensor measuring the articulated object or a data source controlling the articulated object;

comparing the first set of data with the second set of data to identify discrepancies.

45. A method of data analysis for predicting a possible future avionics failure, comprising:

identifying a set of possible failures;

identifying a corresponding set of data measurements;

identifying a set of probabilities of measuring particular data measurements given the occurrence of the possible failures;

forming a matrix of probabilities of the possible failures given the data measurements;

normalizing the matrix;

measuring data during avionics operation; and

applying the normalized matrix to the measured data to predict the possible future avionics failure.

46. The method of claim 45, further comprising:

obtaining a matrix of probabilities of data measurement given possible failures; and

obtaining a set of absolute probabilities of possible failures;

wherein the step of forming the matrix of probabilities of the possible failures given the data measurement comprises computing the matrix of probabilities of the possible failures from the matrix of probabilities of data measurement given possible failures and the set of absolute probabilities of possible failures.

47. The method of claim 45, further comprising identifying a set of data measurements that enable the matrix of probabilities of the possible failures given the data measurements to be diagonal.

48. The method of claim 45, wherein the corresponding set of data measurements is a set of measurements of operational variables, with an operational variable for each possible failure.

49. The method of claim 48, wherein each operational variable is primarily predictive of a single possible failure.

50. The method of claim 49, wherein the matrix comprises diagonal elements, each diagonal element corresponding to the probability of a possible failure given a measurement of the diagonal element'"'"'s corresponding primarily predictive operational variable.

51. The method of claim 50, wherein the matrix further comprises off-diagonal element, each off-diagonal element corresponding to the probability of a possible failure given a measurement of an operational variable other than the possible failure'"'"'s corresponding primarily predictive operational variable.

52. A non-transitory computer readable medium comprising program code configured to cause an electronics device to perform a method of data analysis for predicting a possible future avionics failure, comprising:

identifying a set of possible failures;

identifying a corresponding set of data measurements;

identifying a set of probabilities of measuring particular data measurements given the occurrence of the possible failures;

forming a matrix of probabilities of the possible failures given the data measurements;

normalizing the matrix;

measuring data during avionics operation; and

applying the normalized matrix to the measured data to predict the possible future avionics failure.

53. The computer readable medium of claim 52, the method further comprising:

obtaining a matrix of probabilities of data measurement given possible failures; and

obtaining a set of absolute probabilities of possible failures;

wherein the step of forming the matrix of probabilities of the possible failures given the data measurement comprises computing the matrix of probabilities of the possible failures from the matrix of probabilities of data measurement given possible failures and the set of absolute probabilities of possible failures.

54. The computer readable medium of claim 52, the method further comprising identifying a set of data measurements that enable the matrix of probabilities of the possible failures given the data measurements to be diagonal.

55. The computer readable medium of claim 52, wherein the corresponding set of data measurements is a set of measurements of operational variables, with an operational variable for each possible failure.

56. The computer readable medium of claim 55, wherein each operational variable is primarily predictive of a single possible failure.

57. The computer readable medium of claim 56, wherein the matrix comprises diagonal elements, each diagonal element corresponding to the probability of a possible failure given a measurement of the diagonal element'"'"'s corresponding primarily predictive operational variable.

58. The computer readable medium of claim 57, wherein the matrix further comprises off-diagonal element, each off-diagonal element corresponding to the probability of a possible failure given a measurement of an operational variable other than the possible failure'"'"'s corresponding primarily predictive operational variable.

59. A method of identifying data events predictive of failures, comprising:

obtaining a first data set, the data set including measurements of failure points of a type of avionics structure;

from the first data set, identifying a plurality of control variables and a state variable, the state variable being discontinuous at the failure points, and the control variables having a continuous path at the failure points;

identifying a catastrophe potential function depending on the control variables and the state variable;

identifying a bifurcation set from the catastrophe potential function;

storing the bifurcation set of the catastrophe potential on a non-transitory computer readable medium.

60. The method of claim 59, further comprising:

receiving operational data regarding an avionics structure of the type of avionics structure;

obtaining a control trajectory of the avionics structure using the operational data and the bifurcation set, the control trajectory reflecting a catastrophic tangential point;

evaluating the operational data to determine if the avionics structure operated within a threshold distance of the catastrophic tangential point.

61. The method of claim 59, wherein the data set is obtained from an equation of state for the avionics structure, the equation of state depending on the at least one control variable and the at least one state variable.

62. The method of claim 61, wherein the measurements of the failure points are obtained from differentiating the equation of state with respect to the state variable.

63. The method of claim 59, wherein the state variable is one of a plurality of state variables, each state variable being discontinuous at the failure points.

64. The method of claim 59, wherein the bifurcation set comprises a plurality of cusps, the cusps reflecting the failure points.

65. A non-transitory computer readable medium comprising program code configured to cause an electronics device to perform a method of identifying data events predictive of failures, comprising:

obtaining a first data set, the data set including measurements of failure points of a type of avionics structure;

from the first data set, identifying a plurality of control variables and a state variable, the state variable being discontinuous at the failure points, and the control variables having a continuous path at the failure points;

identifying a catastrophe potential function depending on the control variables and the state variable;

identifying a bifurcation set from the catastrophe potential function;

storing the bifurcation set of the catastrophe potential on a non-transitory computer readable medium.

66. The computer readable medium of claim 65, further comprising:

receiving operational data regarding an avionics structure of the type of avionics structure;

obtaining a control trajectory of the avionics structure using the operational data and the bifurcation set, the control trajectory reflecting a catastrophic tangential point;

evaluating the operational data to determine if the avionics structure operated within a threshold distance of the catastrophic tangential point.

67. The computer readable medium of claim 65, wherein the data set is obtained from an equation of state for the avionics structure, the equation of state depending on the at least one control variable and the at least one state variable.

69. The computer readable medium of claim 65, wherein the state variable is one of a plurality of state variables, each state variable being discontinuous at the failure points.

70. The computer readable medium of claim 65, wherein the bifurcation set comprises a plurality of cusps, the cusps reflecting the failure points.

68. The computer readable medium of claim 6761, wherein the measurements of the failure points are obtained from differentiating the equation of state with respect to the state variable.