Method and system for analyzing linear engineering information

• US 7,680,631 B2
• Filed: 12/12/2005
• Issued: 03/16/2010
• Est. Priority Date: 12/12/2005
• Status: Active Grant

• Current Assignee: Bentley Systems Incorporated
• Original Assignee: Bentley Systems Incorporated
• Inventors: Selig, Ernest Theodore IV, Cardillo, Gerald
• Primary Examiner(s): Cosimano; Edward R
• Application Number:
  US11/298,452
• Publication Number:
  US 20070136029A1
• Time in Patent Office: 1,555 Days
• Field of Search: 736/36, 735/70, 735/84, 735/96, 736/32, 736/33, 736/35, 702/1, 702/33, 702/34, 702/35, 702/36, 702/81, 702/127, 702/187, 702/83, 702/188, 702/189, 705/1, 705/4, 705/5, 705/6, 705/7, 705/8, 705/9, 705/10, 705/13, 705/16, 705/20, 705/21, 705/22, 705/24, 705/26, 705/28, 705/29, 705/30, 705/32, 705/33, 705/34, 705/35, 705/36.R, 705/38, 705/400, 705/417, 705/418, 104/2, 246/122.R, 707/1, 707/3, 707/4, 707/5, 707/10, 707/104.1, 715/200, 715/700
• US Class Current: 702/189
• CPC Class Codes: B61L 27/53 for trackside elements or systems, e.g. trackside supervision of trackside control system conditions
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

A system for analyzing linear data is provided. The system comprises a datastore of linear data correlated by distance; a library of functions that may be performed on the linear data; computer executable code stored on a computer readable medium for performing an analysis of the sets of linear data based on the functions in the library.

Claims

1. A method for analyzing linear data, comprising:

receiving a first user defined function defining a mathematic analysis;

receiving a plurality of sets of linear data having a length component and that represents a linear asset;

providing at least two of the sets of linear data as input to the function;

performing the mathematic analysis on the at least two sets of linear data representing the linear asset based on the function with a computer to obtain a third set of data; and

outputting information regarding a condition and configuration of the linear asset based on the third set of data.

2. The method of claim 1, further comprising:

receiving a second user defined function defining the mathematic analysis; and

applying the second function against one of the at least two sets of linear data prior to providing the linear data as input to the first function.

3. The method of claim 1, wherein the linear data includes a start location, an end location, a start time, and an end time.

4. The method of claim 1, further comprising receiving the linear data, wherein the linear data is correlated along the length of the linear asset.

5. The method of claim 1, further comprising:

determining the linear data needed to perform the user defined function; and

retrieving the linear data necessary to perform the function.

6. The method of claim 1, further comprising providing the third set of data in a graphical or tabular output.

7. The method of claim 1, wherein at least two of the sets of linear data are in different formats.

8. The method of claim 7, further comprising changing the linear data to a common format having a length component and a time component.

9. The method of claim 1, further comprising creating a layer of linear data.

10. The method of claim 9, wherein the layer includes an additional data point.

11. A method comprising:

collecting data, including linear data having a length component, that represents a linear asset, the data having different formats;

converting the data into a common format having a length component and a time component to obtain converted data representing the linear asset;

providing the converted data representing the linear asset as input to a functional analysis;

combining the converted data representing the linear asset with a computer based on the functional analysis to determine a result;

providing information regarding a condition and configuration of the linear asset based on the result; and

controlling operations performed on the linear asset based on the condition and configuration information.

12. The method of claim 11, providing a set of operations that may be performed on the data.

13. The method of claim 11, further comprising storing the data in a common datastore.

14. The method of claim 13, further comprising correlating the data in the common datastore based on location and time.

15. The method of claim 13, further comprising:

providing a library of predefined functions that may be performed on the linear data;

receiving user input selecting the functions to define the functional analysis;

obtaining the data needed to perform the analysis from the datastore;

providing the data as input to the functional analysis; and

performing the functional analysis.

16. A system for analyzing linear data, comprising:

a datastore storing sets of linear data having a same format and correlated as to distance and time, the linear data representing a linear asset;

a library of functions that may be performed on the linear data representing the linear asset;

computer executable code stored on a computer readable medium for performing an analysis combining the sets of linear data based on the functions in the library to provide a result indicating areas of the linear asset requiring operations; and

a display displaying the linear data and indicating areas of the linear asset requiring operations based on the result.

17. The system of claim 16, further comprising an interface for a user to define the analysis graphically, the user interface presenting the functions to the user and receiving user input creating the analysis from the functions.

18. The system of claim 16, further comprising an interface for a user to define the analysis at a command line, the user interface presenting the functions to the user and receiving user input creating the analysis from the functions.

19. The system of claim 16, wherein the functions include at least one of:

logic operations, math operations, spectral analysis, fractal analysis, trending, alignment, route operations, and statistical operations.

20. The system of claim 19, wherein the math operations includes addition, subtraction, multiplication, and division.

21. The system of claim 19, wherein the logic operations include AND, OR, XOR and NAND.

22. A method of performing operations on linear data, comprising:

providing a library of functions adapted to be performed on linear data having a length component and that represents a linear asset;

receiving selected ones of the functions;

creating an analysis to be performed on the linear data based on the selected functions;

and executing the selected functions on the linear data representing the linear asset to transform the linear data into a third set of data; and

outputting information regarding a condition and configuration of the linear asset based on the third set of data.

23. The method of claim 22, further comprising:

determining the linear data to be operated on by the functions to obtain selected linear data; and

retrieving the selected linear data from a datastore.