Enhanced precise location

• US 8,515,690 B2
• Filed: 05/25/2012
• Issued: 08/20/2013
• Est. Priority Date: 05/18/2007
• Status: Active Grant

• Current Assignee: MetroTech Corporation Inc.
• Original Assignee: Metrotech Corporation (L'Air Liquide SA)
• Inventors: Li, Kun
• Primary Examiner(s): Teixeira Moffat, Jonathan C
• Assistant Examiner(s): PARK, HYUN D
• Application Number:
  US13/481,521
• Publication Number:
  US 20120232837A1
• Time in Patent Office: 452 Days
• Field of Search: 702/38, 702/59, 702/33, 702/35, 702/57, 702/58, 324/67
• US Class Current: 702/38
• CPC Class Codes: G01R 29/085 for detecting presence or location of electric lines or cables fault detection G01R31/50; fault location G01R31/08
• CPC Class Codes: G01V 3/081 the magnetic field is produced by the objects or geological structures characterised by the method of magnetic field measurement G01R33/00
• CPC Class Codes: G01V 3/165 operating with magnetic or electric fields produced or modified by the object or by the detecting device with electromagnetic waves G01V3/17
• CPC Class Codes: G01V 3/38 Processing data, e.g. for analysis, for interpretation, for correction

Abstract

A line locator includes a signal detector to detect signals from an underground line; an error modeler that models a phase error in the signal from neighboring underground lines; and an enhanced electromagnetic field modeler that provides a location of the underground line based on the signal and a result from the error modeler.

Claims

1. A line locator, comprising:

a plurality of coil detectors, each of the plurality of coil detectors oriented to measure a component of an electromagnetic field;

circuitry coupled to provide quadrature signals indicating a complex electromagnetic field strength;

a position locator for indicating a position of the line locator;

a processor coupled to receive the complex electromagnetic field strength and the position, and to calculate values related to a target line, wherein

the processor is configured to execute instructions for;

modeling an expected complex field strength using a phase error function, and using an estimation of a current attenuation at two nearest side tones to update a fit factor, the side tones defined by a carrier frequency and a modulation frequency; and

determining parameters related to the target line from a best model.

2. The line locator of claim 1, wherein the parameters related to the target line include at least one estimated value chosen from a list consisting of a centerline position, a depth of the target line, and a current carried in the target line.

3. The line locator of claim 1, wherein the best model includes a selected value of a cost function.

4. The line locator of claim 1, further including estimating a confidence interval for a plurality of selected values associated with the best model.

5. The line locator of claim 1, wherein the plurality of coil detectors includes a first coil to determine a first electromagnetic field strength and a second coil for determining a second electromagnetic field strength, the first coil being orthogonal to the second coil.

6. The line locator of claim 5, wherein the plurality of coil detectors includes a third coil for determining a third electromagnetic field strength, wherein the third coil is oriented orthogonally from the first coil.

7. The line locator of claim 1, wherein the position locator can indicate the position of the locator along a plurality of positions along a path determined by inertial tracking.

8. The line locator of claim 1, wherein the position locator can detect pitch, roll, and yaw angles of the locator by inertial tracking and the processor can correct the complex electromagnetic field strengths for aberrations that occur while measuring components of the complex electromagnetic field strength.

9. The line locator of claim 1, wherein modeling an expected complex field strength includes optimizing each of a plurality of models.

10. A method of locating a target line, comprising:

measuring an electromagnetic field using a plurality of coil detectors;

modeling, by a processor, a phase error based on the presence of lines neighboring the target line, wherein modeling comprises using a phase error function including a plurality of parameters from the target line and from the neighboring lines, and an estimation of a current attenuation at two nearest side tones to update a fit factor, the side tones defined by a carrier frequency and a modulation frequency; and

utilizing the phase error in an enhanced electromagnetic field model to locate the target line.

11. The method of claim 10 wherein updating the fit factor comprises using a ratio of a higher frequency to a lower frequency of the two nearest side tones in combination with a slope of a current gain at an integer multiple of the carrier frequency.

12. The method of claim 10, further comprising displaying a plurality of parameters related to the target line.

13. The method of claim 12, wherein the plurality of parameters related to the target line correspond to a best model.

14. The method of claim 13, wherein the plurality of parameters includes an indication of a number of neighboring lines utilized in the best model.

15. The method of claim 13, wherein the plurality of parameters includes an indication of a relative strength of different directions of the measured electromagnetic field.

16. The method of claim 10, wherein measuring an electromagnetic field comprises measuring a set of complex electromagnetic field strengths at a plurality of positions along a path that crosses the target line.

17. The method of claim 16, wherein modeling the phase error comprises modeling an expected complex field strength at each of the plurality of positions along the path that crosses the target line, the model including a hypothesized number of bleed over lines;

and

forming a set of hypothesized values corresponding to a set of individual models for the target line for each bleed over line from the hypothesized number of bleed over lines.

18. The method of claim 17, further including estimating a confidence interval for the hypothesized values associated with a best model.

19. The method of claim 17, wherein modeling an expected complex field strengths at each of the plurality of positions includes optimizing each individual model from the set of individual models.

20. The method of claim 19, wherein optimizing each individual model comprises applying a Levenberg-Marquardt algorithm.

21. The method of claim 17, wherein modeling the phase error comprises determining which of the set of individual models is a best model, and determining a plurality of parameters related to the target line from the best model.

22. The method of claim 21, wherein the plurality of parameters related to the target line include at least one estimated value chosen from a list consisting of at least one of a centerline position, depth of the target line, and a current carried in the target line.

23. The method of claim 21, wherein determining which of the set of individual models is the best model includes:

applying a cost function to each of the set of individual models; and

choosing the best model.

24. The method of claim 23, wherein the cost function includes a penalty for a number of neighboring lines used.

25. The method of claim 23, wherein the cost function includes a mean square error fit to the set of complex electromagnetic field strengths.

26. The method of claim 23, further including rejecting false positive locates due to excessive noise and interference.

27. The method of claim 23, further including optimizing the cost function.

28. The method of claim 27, wherein optimizing the cost function comprises applying a global grid search algorithm.

29. The method of claim 27, wherein optimizing the cost function includes applying a minimum norm algorithm.

30. The method of claim 16, wherein measuring a set of complex electromagnetic field strengths includes traversing a handheld locate receiver over the target line by walking.

31. The method of claim 16, wherein measuring a set of complex electromagnetic field strengths includes traversing a handheld locate receiver over the target line by using a pull cart.

32. The method of claim 16, wherein measuring a set of complex electromagnetic field strengths includes determining a first electromagnetic field strength from a first coil and determining a second electromagnetic field strength from a second coil, the first coil being orthogonal to the second coil.

33. The method of claim 32, wherein measuring a set of complex electromagnetic field strengths includes determining a third electromagnetic field strength from a third coil.

34. The method of claim 32, wherein the first coil and the second coil are oriented in a “

V”

configuration, with one coil tilted above horizontal and the other tilted below horizontal, the first coil and the second coil aligned in a direction transverse to a line direction.

35. The method of claim 32, wherein modeling an expected complex field strength includes employing a first field model to estimate the first electromagnetic field strength by adjusting a plurality of hypothesized values and employing a second field model to estimate the second electromagnetic field strength by adjusting the plurality of hypothesized values.

36. The method of claim 35, further including detecting pitch, roll, and yaw angles by inertial tracking and correcting the complex electromagnetic field strengths for aberrations that occur while measuring the set of complex electromagnetic field strengths.

37. The method of claim 35, wherein a best field model to be utilized for determining the first electromagnetic field strength and the second electromagnetic field strength is chosen for each of the plurality of positions depending on which of the first electromagnetic field strength or second electromagnetic field strength is stronger, thereby avoiding null fields sensed by one of the first coil or the second coil by replacing that complex field measurement with values from an alternative model.

38. The method of claim 37, wherein a dedicated digital phase locked loop operates on the signal from each of the first coil and the second coil, thereby enhancing performance when null fields are sensed by one of the first coil and the second coil and are at a maximum on the other of the first coil and the second coil.

39. The method of claim 16, wherein measuring a set of complex electromagnetic field strengths comprises measuring electromagnetic field strengths with three orthogonal coils, and modeling an expected complex field strength includes utilizing a full three-dimensional field model that adjusts a plurality of hypothesized values to estimate the complex electromagnetic field strengths.

40. The method of claim 16, wherein the plurality of coils comprises a first coil, a top coil, and two additional coils, the two additional coils oriented orthogonally to each other and to the first coil and the top coil, and wherein modeling a phase error includes utilizing a two dimensional field model that relates a plurality of hypothesized values to generate an expected complex field strength at two of the three orthogonal coils, and modeling a phase error includes utilizing a third of the three orthogonal coils to validate that the path that crosses the target line is roughly perpendicular to a length of the target line.

41. The method of claim 16, further including demodulating an in-phase signal and a quadrature signal from the measured electromagnetic field to obtain an amplitude and a phase of the complex electromagnetic field strengths.

42. The method of claim 16, wherein the plurality of positions along the path are determined by inertial tracking.

43. The method of claim 16, wherein the plurality of positions along the path are determined by stereo imaging.

44. The method of claim 16, wherein the plurality of positions along the path are determined by laser or ultrasonic range finding.

45. The method of claim 16, wherein the plurality of positions along the path are determined with a measuring wheel.

46. The method of claim 16, wherein the plurality of positions along the path are determined using remote sensing.

47. The method of claim 46, wherein the remote sensing includes detection of tick marks on a tape measure.

48. The method of claim 46, wherein the remote sensing includes user input that a predetermined measurement position has been reached.

49. The method of claim 10, wherein the plurality of coil detectors comprises a first coil and a second coil, wherein:

the first coil comprises a horizontal coil arranged to detect a horizontal component of an electromagnetic field; and

the second coil comprises a vertical coil arranged to detect a vertical component of the electromagnetic field.