Systems and methods for assessing equipment operator fatigue and using fatigue-risk-informed safety-performance-based systems and methods to replace or supplement prescriptive work-rest regulations

• US 8,075,484 B2
• Filed: 03/01/2006
• Issued: 12/13/2011
• Est. Priority Date: 03/02/2005
• Status: Active Grant

• Current Assignee: Martin Moore-Ede
• Original Assignee: Martin Moore-Ede
• Inventors: Moore-Ede, Martin
• Primary Examiner(s): Yao, Sam
• Assistant Examiner(s): SORIANO, BOBBY GILES
• Application Number:
  US11/365,137
• Publication Number:
  US 20060200008A1
• Time in Patent Office: 2,113 Days
• Field of Search: 600300-301, 128/898, 128/920, 434/262
• US Class Current: 600/300
• CPC Class Codes: B60K 28/06 responsive to incapacity of driver
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics

Abstract

In a system and method for assessing and modifying fatigue, an input device receives current work-rest pattern and/or sleep data from an individual. A data aggregation and processing platform combines the current work-rest pattern and/or sleep data with previous data related to the individual to generate a fatigue assessment result, a diagnostic assessment result, and a corrective intervention result. At least one output display outputs the fatigue assessment result, diagnostic assessment result and corrective intervention result in a user-readable format to a user. The user uses this information to revise the work-rest pattern to reduce or control future fatigue risk.

Claims

1. A method for assessing fatigue risk of an individual, the method comprising:

receiving at least one of current work-rest pattern and sleep data of an individual;

combining the at least one of the current work-rest pattern and the sleep data with previous data related to the individual;

generating a fatigue risk assessment result from the combination of the at least one of the current work-rest pattern and the sleep data and previous data related to the individuals;

generating a diagnostic assessment report on the causation of any excessive fatigue risk;

generating a corrective intervention plan for reducing excessive fatigue risk of the individual based on at least one of the fatigue risk assessment result and the diagnostic assessment report; and

outputting at least one of the fatigue risk assessment result, the diagnostic assessment report, and the corrective intervention plan in a user-readable format to a user.

2. The method of claim 1 further comprising:

generating a current record from the at least one of the current work-rest pattern and the sleep data related to the individual; and

storing the current record.

3. The method of claim 1, wherein the at least one of the current work-rest pattern and the sleep data is received of a group of individuals, and wherein the fatigue risk assessment result is generated for each individual.

4. The method of claim 1 further comprising verifying the at least one of the current work-rest pattern and the sleep data.

5. The method of claim 1 further comprising transmitting the at least one of the current work-rest pattern and the sleep data through a communications network.

6. The method of claim 5, wherein the communications network is one of a satellite communications network, a wireless network, a telecommunications network, and a data communications network.

7. The method of claim 1 further comprising applying at least one predictive model to compute the fatigue risk assessment result, the diagnostic assessment report, and the corrective intervention plan.

8. The method of claim 7, wherein the predictive model complies with a Fatigue-Risk-Informed Safety-Performance-Based (FRISPB) paradigm.

9. The method of claim 7 further comprising at least one of computing the fatigue risk assessment result as a fatigue risk score and computing a non-fatigue factor assessment result as a driver profile result.

10. The method of claim 9 further comprising generating a driver risk assessment from a combination of the fatigue risk score and the driver profile result.

11. The method of claim 1 comprising using the fatigue risk assessment result to control fatigue risk in the individual.

12. The method of claim 1 comprising combining at least one of the fatigue risk assessment result, the diagnostic assessment report, and the corrective intervention plan to reduce future fatigue risk.

13. The method of claim 1, wherein the individual is at least one of a machine operator and a driver.

14. The method of claim 1, wherein generating the diagnostic assessment report comprises generating a graph that identifies how far the individual is deviating from an ideal 24-hour interval between successive daily times of starting to drive a vehicle.

15. The method of claim 1, wherein generating the diagnostic assessment report comprises generating a graph that illustrates a distribution of duty start times according to time of day.

16. The method of claim 1, wherein generating the diagnostic assessment report comprises generating a graph that illustrates a distribution of duty end times according to time of day.

17. The method of claim 1, wherein generating the diagnostic assessment report comprises generating a graph that illustrates a distribution of shift lengths of the individual according to duration.

18. The method of claim 1, wherein generating the diagnostic assessment report comprises generating a graph that illustrates a distribution of time off between successive shifts of the individual according to time off.

19. The method of claim 1, wherein generating the diagnostic assessment report comprises generating a graph that illustrates a distribution of time between successive shift starts of the individual.

20. The method of claim 1, wherein generating the diagnostic assessment report comprises generating a graph that illustrates a distribution of consecutive days on for the individual.

21. The method of claim 1, wherein generating the diagnostic assessment report comprises generating a graph that illustrates a distribution of consecutive days off for the individual.

22. The method of claim 1, wherein generating the diagnostic assessment report comprises generating a graph that illustrates a distribution of consecutive nights off between shift blocks for the individual.

23. The method of claim 1, wherein generating the corrective intervention plan comprises generating at least one immediate action for reducing any excessive fatigue risk of the individual.

24. The method of claim 23 herein the at least one immediate action directs the individual to take a nap.

25. The method of claim 23 wherein the at least one immediate action directs the individual to reduce the individual'"'"'s duty length.

26. The method of claim 23 wherein the at least one immediate action directs the individual to consolidate their sleep schedule.

27. The method of claim 23 wherein the at least one immediate action directs the individual to take a day off.

28. The method of claim 23 wherein the at least one immediate action directs the individual to stabilize their duty start times.

29. The method of claim 1, wherein generating the corrective intervention plan comprises generating at least one diagnostic flag that indicates the causation of any excessive fatigue risk.

30. The method of claim 29, wherein the at least one diagnostic flag is generated in response to the diagnostic assessment report.