Precise location of buried metallic pipes and cables in the presence of signal distortion

• US 7,356,421 B2
• Filed: 04/06/2005
• Issued: 04/08/2008
• Est. Priority Date: 07/29/2004
• Status: Active Grant

• Current Assignee: MetroTech Corporation Inc.
• Original Assignee: MetroTech Corporation Inc.
• Inventors: Lindstrom, Niklas, Polak, Stevan, Överby, Johan, Gudmundsson, Thorkell, Waite, Jim
• Primary Examiner(s): Barlow; John
• Assistant Examiner(s): KUNDU, SUJOY K
• Application Number:
  US11/100,696
• Publication Number:
  US 20060036376A1
• Time in Patent Office: 1,098 Days
• Field of Search: 702/38, 324326-329
• US Class Current: 702/38
• 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

Abstract

A new approach for locating an underground line described herein remains accurate in the face of bleedover by including both amplitude and phase from at least two magnetic field strength sensors in the measurement set. A numerical optimization step is introduced to deduce the positions and currents of each of several cables, of which one is the targeted cable and the others are termed bleedover cables. Furthermore, some embodiments of the method accounts for practical problems that exist in the field that relate to reliable estimation of cable positions, like the phase transfer function between transmitter and receiver, the estimation of confidence bounds for each estimate, and the rejection of false positive locates due to the presence of noise and interference.

Claims

1. A method for precise location of underground cables and pipes, comprising:

measuring a set of complex electromagnetic field strengths at a plurality of positions along a path that crosses a target line;

modeling an expected complex field strength at each of the plurality of positions with the target line and a hypothesized number of bleedover cables to form a set of values corresponding to a set of individual models for the target line for each of the hypothesized number of bleedover cables;

determining which of the set of individual models is a best model; and

determining parameters related to the target line from the best model in order to assist in locating the target line.

2. The method 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, depth of the target line, and a current carried in the target line.

3. The method of claim 1, 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.

4. The method of claim 3, wherein the cost function includes a penalty for the number of bleedover cables used.

5. The method of claim 3, wherein the cost function includes the mean square error fit to the set of complex electromagnetic field strengths.

6. The method of claim 3, further including rejecting false positive locates due to excessive noise and interference.

7. The method of claim 3, further including optimizing the cost function.

8. The method of claim 7, wherein the cost function can be optimized with respect to a single parameter that follows a chi-square distribution with a single degree of freedom.

9. The method of claim 1, further including estimating a confidence interval for the values associated with the best model.

10. The method of claim 9, wherein estimating the confidence interval includes calculating a Gaussian model for error statistics.

11. The method of claim 1, wherein measuring a set of complex electromagnetic field strengths includes traversing a handheld locate receiver over the target cable by walking.

12. The method of claim 1, wherein measuring a set of complex electromagnetic field strengths includes determining a first magnetic field strength from a first coil and determining a second magnetic field strength from a second coil, the first coil being orthogonal to the second coil.

13. The method of claim 12, wherein modeling an expected complex field strength includes employing a first field model to estimate the first magnetic field strength by adjusting the values and employing a second field model to estimate the second magnetic field strength by adjusting the values.

14. The method of claim 12, 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, both of which are aligned in a direction transverse to the cable direction.

15. The method of claim 13, wherein a best field model to be utilized for determining the first magnetic field strength and the second magnetic field strength is chosen for each of the plurality of positions depending on which of the first magnetic field strength or second magnetic 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.

16. The method of claim 15, 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.

17. The method of claim 12, wherein the first coil and the second coil includes

a horizontal coil arranged to detect a horizontal component of a magnetic field;

and

a vertical coil arranged to detect a vertical component of the magnetic field.

18. The method of claim 1, wherein measuring a set of complex electromagnetic field strengths includes measuring magnetic field strengths with three orthogonal coils, and modeling an expected complex field strength includes utilizing

a full three-dimensional field model that adjusts the values to estimate the complex electromagnetic field strengths.

19. The method of claim 1, wherein measuring a set of complex electromagnetic field strengths includes measuring magnetic field strengths with three orthogonal coils and wherein modeling the expected complex field strength includes utilizing a two dimensional field model that relates the set of values to generate the expected complex field strength at two of the three orthogonal coils and utilizes a third of the three orthogonal coils to validate that the path is roughly perpendicular to a direction along a length of the target cable.

20. The method of claim 1, wherein the amplitude and phase of the complex electromagnetic field strengths are derived from demodulated in-phase and quadrature signals.

21. The method of claim 1, wherein the plurality of positions along the path are determined by inertial tracking.

22. The method of claim 13, 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.

23. The method of claim 1, wherein the plurality of positions along the path are determined by stereo imaging.

24. The method of claim 1, wherein the plurality of positions along the path are determined by laser or ultrasonic rangefinding.

25. The method of claim 1, wherein the plurality of positions along the path are determined with a measuring wheel.

26. The method of claim 1, wherein the plurality of positions along the path are determined using remote sensing.

27. The method of claim 26, wherein the remote sensing includes detection of tick marks on a tape measure.

28. The method of claim 26, wherein the remote sensing includes user input that a predetermined measurement position has been reached.

29. The method of claim 1, wherein modeling expected complex field strengths includes optimizing each of the set of individual models.

30. The method of claim 29, wherein optimizing includes applying a Levenberg-Marquardt algorithm.

31. The method of claim 1, wherein the optimizing includes applying a global grid search algorithm.

32. The method of claim 1, wherein optimizing includes applying a minimum norm algorithm.

33. The method of claim 1, further including displaying parameters related to the target line.

34. The method of claim 33, further including displaying values associated with the set of values of the individual model corresponding to the best model.

35. The method of claim 34, wherein the displayed values includes an indication of the number of bleedover cables utilized in the best model.

36. The method of claim 34, wherein an indication of the relative strength of different directions of detected magnetic field.

37. A line locator, comprising:

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

circuitry coupled to receive signals from the plurality of coil detectors and provide quadrature signals indicating a complex magnetic field strength;

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

a processor coupled to receive the complex magnetic field strength and the position and calculate values related to a target line; and

a display coupled to the processor, the display indicating to a user the values related to the target line, wherein

the processor executes software for performing the following;

modeling an expected complex field strength corresponding to complex field strengths measured at the plurality of coil detectors at each of a plurality of positions determined by the position locator with the target line and a hypothesized number of bleedover cables to form a set of values corresponding to a set of individual models for the target line for each of the hypothesized number of bleedover cables;

determining which of the set of individual models is a best model; and

determining parameters related to the target line from the best model in order to assist in locating the target line.

38. The line locator of claim 37, wherein the parameters related to the target line include at least one estimated value chosen from a list consisting of a centerline position, depth of the target line, and a current carried in the target line.

39. The line locator of claim 37, wherein the processor executes software for 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.

40. The line locator of claim 37, wherein the processor executes software for estimating a confidence interval for the set of values associated with the best model.

41. The line locator of claim 37, wherein the plurality of coil detectors includes a first coil for determining a first magnetic field and a second coil for determining a second magnetic field strength from a second coil, the first coil being orthogonal to the second coil.

42. The line locator of claim 37, wherein the position locator can indicate the position along a plurality of positions positioned along the path are determined by inertial tracking.

43. The line locator of claim 37, wherein the position locator can detect pitch, roll, and yaw angles by inertial tracking and the processor can correct the complex electromagnetic field strengths for aberrations that occur while measuring the set of complex electromagnetic field strengths.

44. The line locator of claim 37, wherein the processor executes software for modeling expected complex field strengths includes optimizing each of the set of individual models.