Information system for industrial vehicles

• US 8,725,345 B2
• Filed: 11/01/2013
• Issued: 05/13/2014
• Est. Priority Date: 08/12/2009
• Status: Active Grant

• Current Assignee: Crown Equipment Corporation
• Original Assignee: Crown Equipment Corporation
• Inventors: de Oliveira, Sergio Schulte, Purrenhage, Benjamin J., Swift, Philip W., Tinnerman, David K., Whitford, Jeffrey C.
• Primary Examiner(s): Black, Thomas
• Assistant Examiner(s): LOUIE, WAE LENNY
• Application Number:
  US14/069,440
• Publication Number:
  US 20140058616A1
• Time in Patent Office: 193 Days
• Field of Search: 701/29.5, 701/29.2, 701/31.4, 701/468, 709/219
• US Class Current: 701/29.5
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

Industrial vehicles communicate across a wireless environment where the wireless communication, data collection and/or processing capabilities of industrial vehicles are utilized to implement dashboard functions that thread status information from detail level views, up through intermediate views and to summary level views to facilitate efficient fleet maintenance, management and control. Further, industrial vehicle data may be communicated to a trusted third party server. As such, wirelessly collected industrial vehicle information is utilized within applications that aggregate and analyze data across multiple enterprises.

Claims

1. A method for monitoring usage metrics of industrial vehicles, the method comprising:

receiving wirelessly communicated information from a plurality of industrial vehicles;

storing the received information in a storage accessible by a server computer;

utilizing an organizational structure to organize the received information, comprising;

a summary level having a summary level category that defines a subject matter related to the management of industrial vehicles;

an intermediate level having at least two intermediate level categories, each intermediate level category organized as a sub-category that further defines subject matter corresponding with the summary level category; and

a detail level having at least one detail level metric corresponding with each intermediate level category, where each detail level metric defines subject matter associated with the corresponding sub-category;

storing a benchmark value assigned for a particular detail level metric;

associating a summary status indicator with the summary level category;

associating an intermediate status indicator with each intermediate level category;

analyzing, by the server computer, data comprising the received information from the plurality of industrial vehicles against each detail level metric to derive evaluation results, the analysis further comprising comparing the evaluation result of the particular detail level metric against the assigned benchmark;

assigning an intermediate level value to each intermediate status indicator according to the analysis of each associated detail level metric;

assigning a summary level value to the summary status indicator according to an evaluation of each corresponding intermediate level status; and

communicating dashboard information from the server computer to a user interface executing on a client computer such that a user can navigate through the summary level category, the intermediate level categories and the detail level metrics and prioritize fleet management based upon the summary and intermediate status indicator values and the evaluation results.

2. The method of claim 1, further comprising:

implementing the server computer as a third party server performing a hosted solution that monitors usage metrics of industrial vehicles for a plurality of independent enterprises.

3. The method of claim 2, further comprising:

determining the benchmark based upon an aggregation of data collected from a single enterprise.

4. The method of claim 2, further comprising:

determining the benchmark based upon an aggregation of data extracted across a plurality of enterprises.

5. The method of claim 1, further comprising:

submitting a query to a third party server to determine the benchmark based upon at least one selection criteria; and

receiving a response to the query with the determined benchmark value.

6. The method of claim 5, wherein:

receiving a response to the query comprises receiving a determined benchmark that was determined based upon an aggregation of data extracted across a plurality of enterprises.

7. The method of claim 1, wherein:

storing a benchmark value comprises deriving the benchmark value based upon a trend over time in the information received from the plurality of industrial vehicles.

8. The method of claim 1, wherein:

storing a benchmark value comprises deriving the benchmark value for a specific vehicle operator such that the vehicle operator is measured against the vehicle operator'"'"'s past performance.

9. The method of claim 1, wherein:

storing a benchmark value comprises deriving the benchmark value as a common value for a fleet of vehicle operators such that at least one vehicle operator is measured against the fleet of vehicle operators.

10. The method of claim 1, further comprising:

deriving at least one detail level metric in part from the information received from the plurality of industrial vehicles, and in part from data obtained or otherwise generated by the server computer.

11. The method of claim 1, further comprising communicating information to the user interface such that the user interface visually displays at least one annotation adjacent to a label for the summary level category where each displayed annotation is derived from received industrial vehicle information that is utilized in determining the value of the associated summary status indicator.

12. The method of claim 1, further comprising communicating information to the user interface such that the user interface visually displays the benchmark value assigned for the select detail level metric as a visual chart when the corresponding detail level metric is selected for viewing.

13. The method of claim 1, wherein assigning a value for each intermediate level and summary level comprises:

threading the results from the comparison of the select detail level metric against the assigned benchmark to the corresponding intermediate status indicator value; and

threading the corresponding intermediate status indicator values to the associated summary status indicator.

14. The method of claim 1, wherein assigning a value for each intermediate status indicator and the summary status indicator comprises:

defining three states including a normal state, an intermediate state, and an alert state, further comprising;

associating a first visual metaphor with the alert state;

associating a second visual metaphor with the intermediate state;

associating a third visual metaphor with the normal state; and

visually displaying the visual metaphor associated with the state of each of displayed summary and intermediate status indicator.

15. The method of claim 14, further comprising:

using rules for setting a first benchmark level and a second benchmark level, so as to define a benchmark threshold range;

assigning the normal state when the associated detail metric evaluates below the benchmark threshold range;

assigning the intermediate state when the associated detail metric evaluates within the benchmark threshold range; and

assigning the alert state when the associated detail metric exceeds the corresponding threshold range.

16. The method of claim 1, further comprising:

incorporating a page function into at least one detail metric so that a user navigating the dashboard can initiate communication with an operator of an associated industrial vehicle that generated data related to the detail metric being analyzed.

17. The method of claim 1, wherein analyzing, by the server computer, the detail level metrics, comprises:

applying the analysis based upon at least one user-defined preference.

18. The method of claim 1, wherein characterizing the received information according to an organizational structure further comprises:

providing at least one additional intermediate level that does not have a corresponding intermediate level indicator.

19. The method of claim 1, wherein communicating dashboard information to a user interface comprises:

navigating to a desired detail level such that the corresponding intermediate level and associated intermediate status indicator remain visible on a corresponding display device as the evaluation result of the underlying detail level metric is graphically displayed.

20. The method of claim 1, wherein communicating dashboard information to a user interface comprises:

integrating controls into the view of detail level metrics such that a user can modify filters so as to dynamically change the manner in which the detail metric is analyzed.