Method and system for analyzing linear engineering information

• US 20070136029A1
• Filed: 12/12/2005
• Published: 06/14/2007
• Est. Priority Date: 12/12/2005
• Status: Active Grant

• Current Assignee: Bentley Systems Incorporated
• Original Assignee: Bentley Systems Incorporated
• Inventors: Selig, Ernest, Cardillo, Gerald
• Granted Patent: US 7,680,631 B2
• Time in Patent Office: Days
• 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;

receiving a plurality of sets of linear data;

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

outputting a third set of data as a result of the function.

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

3. The method of claim 2, further comprising changing the linear data to a common format.

4. The method of claim 1, further comprising:

receiving a second user defined function; 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.

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

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

7. The method of claim 6, wherein the layer includes an additional data point.

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

9. 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.

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

44. The method of claim 1, further comprising:

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

receiving selected ones of the functions;

creating an analysis from the selected functions;

executing the analysis.

11-31. -31. (canceled)

33. A method comprising:

receiving at a computer user input defining an analysis;

determining data needed to perform the analysis;

obtaining the data, wherein the data comprises linear data in different formats;

converting the data to a common format; and

conducting the analysis on the data in the common format.

34. The method of claim 33, further comprising outputting results of the analysis.

35. The method of claim 33, further comprising collecting data regarding a linear asset.

36. The method of claim 33, further comprising storing the data in a common datastore.

37. The method of claim 33, further comprising correlating the data in the datastore based on location and time.

38. The method of claim 33, providing a set of operations that may be performed on the data.

39. A method, comprising:

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

receiving user input selecting the functions to define an analysis;

obtaining the data needed to perform the analysis;

providing the data as input to the analysis; and

performing the analysis.

40. A method, comprising:

receiving at least one user defined function that may be performed on linear data;

receiving user input selecting the functions to define an analysis;

obtaining the data needed to perform the analysis;

providing the data as input to the analysis; and

performing the analysis.

41. A computer readable medium storing computer code, comprising:

a plurality of first code modules corresponding to functions that may be performed on linear data;

a second code segment to present the functions to a user and allow the user to select individual ones the functions to build an analysis;

a third code segment to execute the analysis

42. The computer readable medium of claim 41, further comprising a fourth code segment to retrieve the selected first code segments and cause the selected first code segments to execute the analysis

43. A computer readable medium storing computer code, comprising:

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

first code allowing a user to select individual ones of the functions to create an analysis; and

second code for executing the analysis.

45. A system for analyzing linear data, comprising:

a datastore storing sets of linear data correlated as to distance and time;

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.

46. The system of claim 45, wherein the functions include at least one of:

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

47. The system of claim 45, wherein the math operations includes addition, subtraction, multiplication, and division.

48. The system of claim 45, wherein the logic operations include AND, OR, XOR and NAND.

49. The system of claim 45, further comprising an interface for a user to define the analysis graphically.

50. The system of claim 45, further comprising an interface for a user to define the analysis at a command line.

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

providing a library of functions adapted to be performed on the linear data;

receiving selected ones of the functions;

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

and executing the selected functions on the linear data.

52. The method of claim 51, further comprising:

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

retrieving that linear data from a datastore.