RISK ANALYSIS AND MITIGATION SYSTEMS AND METHODS OF ANALYZING AND MITIGATING RISK

• US 20100023358A1
• Filed: 07/22/2008
• Published: 01/28/2010
• Est. Priority Date: 07/22/2008
• Status: Abandoned Application

• Current Assignee: Polaris Aero LLC
• Original Assignee: Polaris Aero LLC
• Inventors: Fox, James T., Connor, Christopher A.
• Application Number:
  US12/177,509
• Publication Number:
  US 20100023358A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

Abstract

A machine-implemented method for analyzing risk associated with an activity may include receiving inputs identifying a user and an activity to be analyzed, selecting a boundary dataset including operator data, vehicle/equipment data, and/or general operations data, selecting a boundary parameter from the selected dataset, selecting an environmental parameter associated with the selected boundary parameter, and determining whether the selected environmental parameter exceeds a threshold level of risk associated with the selected boundary parameter.

Claims

1. A machine-implemented method for analyzing risk associated with an activity, the method comprising:

receiving inputs identifying a user and an activity to be analyzed;

selecting a boundary dataset including at least one of operator data, vehicle/equipment data, and general operations data;

selecting a boundary parameter from said selected dataset;

selecting an environmental parameter associated with said selected boundary parameter; and

determining whether said selected environmental parameter exceeds a threshold level of risk associated with said selected boundary parameter.

2. The method of claim 1, further comprising outputting a risk profile that identifies environmental parameters that exceed a threshold level of risk associated with boundary parameters.

3. The method of claim 1, wherein the selected boundary dataset includes operator data, and the operator data includes at least one of qualifications, experience level, and certifications.

4. The method of claim 1, wherein the selected boundary dataset includes vehicle/equipment data, and the vehicle/equipment data includes information pertaining to one of a vehicle and/or equipment to be operated by an operator.

5. The method of claim 1, wherein the selected boundary dataset includes general operations data, and the general operations data includes at least one of federal rules and regulations, state laws, owner/operator defined limits, company operating procedures, and international rules and procedures.

6. The method of claim 1, wherein the selected environmental parameter is one of dynamic data and persistent data.

14. The medium of claim 1, further comprising instructions for outputting a risk profile that identifies environmental parameters that exceed a threshold level of risk associated with boundary parameters

15. The medium of claim 1, wherein the selected boundary dataset includes operator data, and the operator data includes at least one of qualifications, experience level, and certifications.

16. The medium of claim 1, wherein the selected boundary dataset includes vehicle/equipment data, and the vehicle/equipment data includes information pertaining to one of a vehicle and/or equipment to be operated by an operator.

17. The medium of claim 1, wherein the selected boundary dataset includes general operations data, and the general operations data includes at least one of federal rules and regulations, state laws, owner/operator defined limits, company operating procedures, and international rules and procedures.

18. The medium of claim 1, wherein the selected environmental parameter is one of dynamic data and persistent data.

7. A processing device comprising:

at least one processor;

a memory including instructions for the processor; and

a bus for providing communication between the processor and the memory, the processor being configured to process instructions for

receiving inputs identifying a user and an activity to be analyzed,

selecting a boundary dataset including at least one of operator data, vehicle/equipment data, and general operations data,

selecting a boundary parameter from said selected dataset,

selecting an environmental parameter associated with said selected boundary parameter, and

determining whether said selected environmental parameter exceeds a threshold level of risk associated with said selected boundary parameter.

8. The device of claim 7, further comprising an output device configured to output a risk profile that identifies environmental parameters that exceed a threshold level of risk associated with boundary parameters

9. The device of claim 7, wherein the selected boundary dataset includes operator data, and the operator data includes at least one of qualifications, experience level, and certifications.

10. The device of claim 7, wherein the selected boundary dataset includes vehicle/equipment data, and the vehicle/equipment data includes information pertaining to one of a vehicle and/or equipment to be operated by an operator.

11. The device of claim 7, wherein the selected boundary dataset includes general operations data, and the general operations data includes at least one of federal rules and regulations, state laws, owner/operator defined limits, company operating procedures, and international rules and procedures.

12. The device of claim 7, wherein the selected environmental parameter is one of dynamic data and persistent data.

13. A tangible, machine-readable medium having instructions for at least one processor recorded thereon, the medium comprising:

instructions for receiving inputs identifying a user and an activity to be analyzed;

instructions for selecting a boundary dataset including at least one of operator data, vehicle data, and general operations data;

instructions for selecting a boundary parameter from said selected dataset;

instructions for selecting an environmental parameter associated with said selected boundary parameter; and

instructions for determining whether said selected environmental parameter exceeds a threshold level of risk associated with said selected boundary parameter.