Safety management system and method

• US 7,363,193 B2
• Filed: 04/16/2002
• Issued: 04/22/2008
• Est. Priority Date: 04/16/2001
• Status: Expired due to Fees

• Current Assignee: Colleen M. Jardine, John M. Jacobs, Joshua D. Jacobs
• Original Assignee: Colleen M. Jardine, John M. Jacobs, Joshua D. Jacobs
• Inventors: Jardine, Colleen M., Jacobs, John M., Jacobs, Joshua D.
• Primary Examiner(s): Tsai; Carol S. W.
• Application Number:
  US10/123,233
• Publication Number:
  US 20030033123A1
• Time in Patent Office: 2,198 Days
• Field of Search: 702/182, 709/251, 709/226, 709/213, 709/224, 709/219, 703/2, 705/1, 705/40
• US Class Current: 702/182
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 20/102 Bill distribution or payments
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

A safety management system includes a processor and memory in which a safety database is maintained. The safety management system receives safety data from one or more portable devices and/or computers, and the system stores this safety data in the database. When a safety incident occurs, such as an accident, the type of incident is recorded and additional information about the incident is recorded in the database. This information then is used to generate a model of the rate of safety incidents. This model is then used to forecast future safety incidence rates for planning and budgeting purposes.

Claims

1. A system for remotely collecting safety information and for forecasting one or more future safety incidences based on the collected safety information, comprising:

at least one portable device operable to record safety incidents and corresponding safety parameters that affect safety;

a processor operatively coupled to said portable device, said processor being operable to determine parameter coefficients for the safety parameters based a relationship between the safety incidents and the safety parameters from said portable device, said processor being operable to forecast the future safety incidences based on the parameter coefficients determined by the processor; and

wherein said processor is operable to determine the parameter coefficients through the following relationship;

I=aP₁+bP₂+cP₃+ . . . +nP_n

where;

I=the Safety Incidences

P_{1 . . . n}=the Safety Parameters

a,b,c, . . . n=the Parameter Coefficients.

2. The system of claim 1, wherein:

said processor is incorporated into a safety management system, said safety management system including memory operatively coupled to said processor, said memory including a database operable to store the safety incidents and the safety parameters; and

said portable device is operable to synchronize with said database.

3. The system of claim 2, further comprising:

a client computer operatively coupled to said safety management system, wherein said portable device is adapted to operatively couple to said client computer when said portable device synchronizes with said database; and

a network operatively coupling said client computer to said safety management system.

4. The system of claim 3, wherein said safety management system is operable to send a safety alert email across said network whenever at least one of the safety incidents occurs.

5. The system of claim 2, further comprising:

an accounting system operatively coupled to said safety management system, wherein said safety management system is operable to forecast safety costs based on accounting information from said accounting system;

a human resources system operatively coupled to said safety management system, wherein said safety management system is operable to transfer employee training information between said human resources system and said portable device; and

a purchasing system operatively coupled to said safety management system, wherein said safety management system is operable place purchase orders for safety equipment with said purchasing system.

6. The system of claim 2, wherein:

said database includes a relational database structured with a plurality data tables; and

said portable device is operable to synchronize with a subset of said plurality of data tables.

7. The system of claim 1, further comprising a detachable device detachably coupled to said portable device for inputting at least part of the safety information into said portable device.

8. The system of claim 7, wherein said detachable device includes a sensor to input sensor readings into said portable device.

9. The system of claim 1, wherein said processor is operable to determine the parameter coefficients through regression analysis.

10. A method of forecasting future safety rates based on historical safety information, comprising:

receiving historical safety incidences and corresponding safety parameters with a processor, wherein the safety incidences reflects a rate at which safety problems occur and the safety parameters reflect factors that affect safety;

determining parameter coefficients for each of the safety parameters with the processor, wherein each of the safety parameters has a respective one of the parameter coefficients that in combination affect the historical safety incidences; and

predicting future safety incidences based on the parameter coefficients with the processor after said determining.

11. The method of claim 10, further comprising:

retrieving cost information from an accounting system operatively coupled to the processor; and

estimating future safety costs based at least on the cost information and the future safety incidences.

12. The method of claim 10, further comprising:

downloading in memory operatively coupled to the processor at least part of the historical safety incidence rates and the corresponding safety parameters from a portable device; and

wherein said receiving includes retrieving the historical safety incidence rates and the corresponding safety parameters from the memory.

13. The method of claim 12, wherein:

the memory includes a relational database having a plurality of data tables; and

said downloading includes synchronizing a subset of the plurality of data tables with the portable device to improve memory utilization on the portable device.

14. The method of claim 10, wherein said determining the parameter coefficients includes computing the parameter coefficients based on the following relationship:

I=aP₁+bP₂+cP₃+ . . . +nP_n

where;

I=the Safely Incidences

P_{1 . . . n}=the Safely Parameters

a,b,c, . . . n=the Parameter Coefficients.

15. The method of claim 14, wherein said determining the parameter coefficients includes estimating the parameter coefficients through regression analysis.

16. The method of claim 10, further comprising generating a safety report including the future safety incidences.

17. A system for forecasting future safety rates based on historical safety information, comprising:

means for collecting historical safety incidences and corresponding safety parameters, wherein the historical safety incidences reflect a rate at which safety problems occur and the safety parameters reflect factors that affect safety;

means for determining parameter coefficients for each of the safety parameters, wherein each of the safety parameters has a respective one of the parameter coefficients that in combination affect the historical safety incidences;

means for estimating future safety incidences based on the parameter coefficients; and

means for reporting the future safety incidences.

18. A system for remotely collecting safety information and for forecasting one or more future safety incidences based on the collected safety information, comprising:

at least one portable device operable to record safety incidents and corresponding safety parameters that affect safety;

a processor operatively coupled to said portable device, said processor being operable to determine parameter coefficients for the safety parameters based a relationship between the safety incidents and the safety parameters from said portable device, said processor being operable to forecast the future safety incidences based on the parameter coefficients determined by the processor;

an accounting system operatively coupled to said safety management system, wherein said safety management system is operable to forecast safety costs based on accounting information from said accounting system;

a human resources system operatively coupled to said safety management system, wherein said safety management system is operable to transfer employee training information between said human resources system and said portable device; and

a purchasing system operatively coupled to said safety management system, wherein said safety management system is operable place purchase orders for safety equipment with said purchasing system.