System for tracking and analyzing welding activity
A system and a method for tracking and analyzing welding activity. Dynamic spatial properties of a welding tool are sensed during a welding process producing a weld. The sensed dynamic spatial properties are tracked over time and the tracked dynamic spatial properties are captured as tracked data during the welding process. The tracked data is analyzed to determine performance characteristics of a welder performing the welding process and quality characteristics of a weld produced by the welding process. The performance characteristics and the quality characteristics may be subsequently reviewed.
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This U.S. patent application claims priority to and the benefit of U.S. provisional patent application Ser. No. 61/158,578 which was filed on Mar. 9, 2009, and which is incorporated herein by reference in its entirety.
TECHNICAL FIELDCertain embodiments of the present invention pertain to systems for tracking and analyzing welding activity, and more particularly, to systems that capture weld data in real time (or near real time) for analysis and review. Additionally, the embodiments of the present invention provide a system for marking portions of a welded article by indicating possible discontinuities or flaws within the weld joint.
BACKGROUNDIn many applications, ascertaining the quality of weld joints is critical to the use and operation of a machine or structure incorporating a welded article. In some instances, x-raying or other nondestructive testing is needed to identify potential flaws within one or more welded joints. However, non-destructive testing can be cumbersome to use, and typically lags the welding process until the inspector arrives to complete the testing. Additionally, it may not be effective for use with all weld joint configurations. Moreover, non-destructive testing does not provide any information about how the weld was completed. In welding applications where identifying waste is vital to producing cost effective parts, non-destructive testing provides no insight into problems like overfill.
Further limitations and disadvantages of conventional, traditional, and proposed approaches will become apparent to one of skill in the art, through comparison of such approaches with the subject matter of the present application as set forth in the remainder of the present application with reference to the drawings.
SUMMARYThe embodiments of the present invention pertain to a system for tracking and analyzing welding activity. The system may be used in conjunction with a welding power supply and includes a sensor array and logic processor-based technology that captures performance data (dynamic spatial properties) as the welder performs various welding activities. The system functions to evaluate the data via an analysis engine for determining weld quality in real time (or near real time). The system also functions to store and replay data for review at a time subsequent to the welding activity thereby allowing other users of the system to review the performance activity of the welding process.
These and other novel features of the subject matter of the present application, as well as details of illustrated embodiments thereof, will be more fully understood from the following description and drawings.
Referring again to the drawings wherein the showings are for purposes of illustrating embodiments of the invention only and not for purposes of limiting the same,
In one embodiment, the system 100 tracks movement or motion (i.e., position and orientation over time) of a welding tool 230, which may be, for example, an electrode holder or a welding torch. Accordingly, the system 100 is used in conjunction with a welding system 200 including a welding power supply 210, a welding torch 230, and welding cables 240, along with other welding equipment and accessories. As a welder 10, i.e. end user 10, performs welding activity in accordance with a welding process, the system 100 functions to capture performance data from real world welding activity as sensed by sensors 160, 165 (see
In accordance with an embodiment of the present invention, the system 100 for tracking and analyzing welding activity includes the capability to automatically sense dynamic spatial properties (e.g., positions, orientations, and movements) of a welding tool 230 during a manual welding process producing a weld 16 (e.g., a weld joint). The system 100 further includes the capability to automatically track the sensed dynamic spatial properties of the welding tool 230 over time and automatically capture (e.g., electronically capture) the tracked dynamic spatial properties of the welding tool 230 during the manual welding process.
The system 100 also includes the capability to automatically analyze the tracked data to determine performance characteristics of a welder 10 performing the manual welding process and quality characteristics of a weld 16 produced by the welding process. The system 100 allows for the performance characteristics of the welder 10 and the quality characteristics of the weld to be reviewed. The performance characteristics of a welder 10 may include, for example, a weld joint trajectory, a travel speed of the welding tool 230, welding tool pitch and roll angles, an electrode distance to a center weld joint, an electrode trajectory, and a weld time. The quality characteristics of a weld produced by the welding process may include, for example, discontinuities and flaws within certain regions of a weld produced by the welding process.
The system 100 further allows a user (e.g., a welder 10) to locally interact with the system 100. In accordance with another embodiment of the present invention, the system 100 allows a remotely located user to remotely interact with the system 100. In either scenario, the system 100 may automatically authorize access to a user of the system 100, assuming such authorization is warranted.
In accordance with an embodiment of the present invention, the system 100 for tracking and analyzing welding activity includes a processor based computing device 110 configured to track and analyze dynamic spatial properties (e.g., positions, orientations, and movements) of a welding tool 230 over time during a manual welding process producing a weld 16. The system 100 further includes at least one sensor array 160, 165 operatively interfacing to the processor based computing device 110 (wired or wirelessly) and configured to sense the dynamic spatial properties of a welding tool 230 during a manual welding process producing a weld 16. The system 100 also includes at least one user interface operatively interfacing to the processor based computing device 110. The user interface may include a graphical user interface 135 and/or a display device (e.g., a display 130 or a welding display helmet 180 where a display is integrated into a welding helmet as illustrated in
In accordance with an embodiment of the present invention, a method 500 (see
The method 500 may initially include selecting welding set up parameters for the welding process via a user interface 135 as part of step 510. The method may also include outputting the performance characteristics of the welder 10 and/or the quality characteristics of a weld to a remote location and remotely viewing the performance characteristics and/or the quality characteristics via a communication network 300 (see
The system 100 for tracking and analyzing welding activity comprises hardware and software components, in accordance with an embodiment of the present invention. In one embodiment, the system 100 incorporates electronic hardware. More specifically, system 100 may be constructed, at least in part, from electronic hardware 150 (see
Other embodiments are contemplated wherein the system 100 is incorporated into the welding system 200. More specifically, the components comprising the system 100 may be integrated into the welding power supply 210 and/or weld torch 230. For example, the processor based computing device 110 may be received internal to the housing of the welding power supply 210 and may share a common power supply with other systems located therein. Additionally, sensors 160, 165, used to sense the weld torch 230 dynamic spatial properties, may be integrated into the weld torch handle.
The system 100 may communicate with and be used in conjunction with other similarly or dissimilarly constructed systems. Input to and output from the system 100, termed I/O, may be facilitated by networking hardware and software including wireless as well as hard wired (directly connected) network interface devices. Communication to and from the system 100 may be accomplished remotely as through a network 300 (see
In one embodiment, remote communications are used to provide virtual instruction by personnel, i.e. remote or offsite users, not located at the welding site. Reconstruction of the welding process is accomplished via networking. Data representing a particular weld may be sent to another similar or dissimilar system 100 capable of displaying the weld data (see
The processor based computing device 110 further includes support circuitry including electronic memory devices, along with other peripheral support circuitry that facilitate operation of the one or more logic processor(s), in accordance with an embodiment of the present invention. Additionally, the processor based computing device 110 may include data storage, examples of which include hard disk drives, optical storage devices and/or flash memory for the storage and retrieval of data. Still any type of support circuitry may be used with the one or more logic processors as chosen with sound engineering judgment. Accordingly, the processor based computing device 110 may be programmable and operable to execute coded instructions in a high or low level programming language. It should be noted that any form of programming or type of programming language may be used to code algorithms as executed by the system 100.
With reference now to
In one embodiment, the system 100 functions to capture performance data of the end user 10 for manual activity as related to the use of tools or hand held devices. In the accompanying figures, welding, and more specifically, arc welding is illustrated as performed by the end user 10 on a weldment 15 (e.g., a weld coupon). The welding activity is recorded by the system 100 in real time or near-real time for tracking and analysis purposes mentioned above by a real time tracking module 121 and an analysis module 122, respectively (see
The data captured and entered into the system 100 is used to determine the quality of the real world weld joint. Persons of ordinary skill in the art will understand that a weld joint may be analyzed by various processes including destructive and non-destructive methods, examples of which include sawing/cutting or x-raying of the weld joint respectively. In prior art methods such as these, trained or experienced weld personnel can determine the quality of a weld performed on a weld joint. Of course, destructive testing renders the weldment unusable and thus can only be used for a sampling or a subset of welded parts. While non-destructive testing, like x-raying, do not destroy the welded article, these methods can be cumbersome to use and the equipment expensive to purchase. Moreover, some weld joints cannot be appropriately x-rayed, i.e. completely or thoroughly x-rayed. By way of contrast, system 100 captures performance data during the welding process that can be used to determine the quality of the welded joint. More specifically, system 100 is used to identify potential discontinuities and flaws within specific regions of a weld joint. The captured data may be analyzed by an experienced welder or trained professional (e.g., a trainer 123, see
Performance data may be stored electronically in a database 140 (see
In another embodiment, data captured and stored in the database 140 is analyzed by an analyzing module 122 (a.k.a., an analysis engine) of the system 100. The analyzing module 122 may comprise a computer program product executed by the processor based computing device 110. The computer program product may use artificial intelligence. In one particular embodiment, an expert system may be programmed with data derived from a knowledge expert and stored within an inference engine for independently analyzing and identifying flaws within the weld joint. By independently, it is meant that the analyzing module 122 functions independently from the analyzing user to determine weld quality. The expert system may be ruled-based and/or may incorporate fuzzy logic to analyze the weld joint. In this manner, areas along the weld joint may be identified as defective, or potentially defective, and marked for subsequent review by an analyzing user. Determining weld quality and/or problem areas within the weld joint may be accomplished by heuristic methods. As the system 100 analyzes welding processes of the various end users over repeated analyzing cycles, additional knowledge may be gained by the system 100 for determining weld quality.
A neural network or networks may be incorporated into the analysis engine 122 of the system 100 for analyzing data to determine weld quality, weld efficiency and/or weld flaws or problems. Neural networks may comprise software programming that simulates decision making capabilities. In one embodiment, the neural network(s) may process data captured by the system 100 making decisions based on weighted factors. It is noted that the neural network(s) may be trained to recognize problems that may arise from the weld torch position and movement, as well as other critical welding factors. Therefore, as data from the welding process is captured and stored, the system 100 may analyze the data for identifying the quality of the weld joint. Additionally, the system 100 may provide an output device 170 (see
In capturing performance data, the system 100 incorporates a series of sensors, also referred to as sensor arrays 160, 165 (see
In one embodiment, part of the sensor arrays 160, 165 are received by the weld torch 230. That is to say that a portion of the sensors or sensor elements are affixed with respect to the body of the weld torch 230 (see sensor array 160 165 of
As an example of sensing and tracking a welding tool 230, in accordance with an embodiment of the present invention, a magnetic sensing capability may be provided. For example, the receiver sensor array 165 may be a magnetic sensor that is mounted on the welding tool 230, and the emitter sensor array 160 may take the form of a magnetic source. The magnetic source 160 may be mounted in a predefined fixed position and orientation with respect to the weldment 15. The magnetic source 160 creates a magnetic field around itself, including the space encompassing the welding tool 230 during use and establishes a 3D spatial frame of reference. The magnetic sensor 165 is provided which is capable of sensing the magnetic field produced by the magnetic source. The magnetic sensor 165 is attached to the welding tool 230 and is operatively connected to the processor based computing device 110 via, for example, a cable, or wirelessly. The magnetic sensor 165 includes an array of three induction coils orthogonally aligned along three spatial directions. The induction coils of the magnetic sensor 165 each measure the strength of the magnetic field in each of the three directions and provide that information to the real time tracking module 121 of the processor based computing device 110. As a result, the system 100 is able to know where the welding tool 230 is in space with respect to the 3D spatial frame of reference established by the magnetic field produced by the magnetic source 160. In accordance with other embodiments of the present invention, two or more magnetic sensors may be mounted on or within the welding tool 230 to provide a more accurate representation of the position and orientation of the welding tool 230, for example. Care is to be taken in establishing the magnetic 3D spatial frame of reference such that the weldment 15, the tool 230, and any other portions of the welding environment do not substantially distort the magnetic field created by the magnetic source 160. As an alternative, such distortions may be corrected for or calibrated out as part of a welding environment set up procedure. Other non-magnetic technologies (e.g., acoustic, optical, electromagnetic, inertial, etc.) may be used, as previously discussed herein, to avoid such distortions, as are well known in the art.
With reference to all of the figures, operation of the system 100 will now be described in accordance with an embodiment of the present invention. The end user 10 activates the system 100 and enters his or her user name via the user interface 135. Once authorized access has been gained, the end user 10 traverses the menu system as prompted by the computer program product 120 via the GUI 135. The system 100 instructs the end user 10 to initiate set up of the welding article 15, which includes entering information about the weldment materials and/or welding process being used. Entering such information may include, for example, selecting a language, entering a user name, selecting a weld coupon type, selecting a welding process and associated axial spray, pulse, or short arc methods, selecting a gas type and flow rate, selecting a type of stick electrode, and selecting a type of flux cored wire.
In one embodiment, the end user enters the starting and ending points of the weld joint 16. This allows the system 100, via the real time tracking module 121, to determine when to start and stop recording the tracked information. Intermediate points are subsequently entered for interpolating the weld joint trajectory as calculated by the system 100. Additionally, sensor emitters and/or receivers 160, 165 are placed proximate to the weld joint at locations suitable for gathering data in a manner consistent with that described herein. After set up is completed, system tracking is initiated and the end user 10 is prompted to begin the welding procedure. As the end user 10 completes the weld, the system 100 gathers performance data including the speed, position and orientation of the weld torch 230 for analysis by the system 100 in determining welder performance characteristics and weld quality characteristics as previously described herein.
In summary, a system and a method for tracking and analyzing welding activity is disclosed. Dynamic spatial properties of a welding tool are sensed during a welding process producing a weld. The sensed dynamic spatial properties are tracked over time and the tracked dynamic spatial properties are captured as tracked data during the welding process. The tracked data is analyzed to determine performance characteristics of a welder performing the welding process and quality characteristics of a weld produced by the welding process. The performance characteristics and the quality characteristics may be subsequently reviewed.
While the claimed subject matter of the present application has been described with reference to certain embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the claimed subject matter. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the claimed subject matter without departing from its scope. Therefore, it is intended that the claimed subject matter not be limited to the particular embodiment disclosed, but that the claimed subject matter will include all embodiments falling within the scope of the appended claims.
Claims
1. A system for tracking and analyzing welding activity, said system comprising:
- means for automatically sensing dynamic spatial properties of a welding tool during a welding process producing a real world weld;
- means for automatically tracking said sensed dynamic spatial properties over time during said welding process;
- means for automatically capturing in real time or near real time said tracked dynamic spatial properties as tracked data during said welding process; and
- means for automatically analyzing in real time or near real time said tracked data to determine at least one of performance characteristics of a welder performing said welding process and a quality characteristics characteristic of a said real world weld produced by said welding process.
2. The system of claim 1, wherein said analyzing further comprises determining a performance characteristic of a welder performing said welding process, and
- said system further comprising comprises means for reviewing said performance characteristics characteristic of a said welder performing said welding process.
3. The system of claim 1 further comprising means for reviewing said quality characteristics characteristic of a said real world weld produced by said welding process.
4. The system of claim 1 further comprising means for a user to locally interact with said system.
5. The system of claim 1 further comprising means for a user to remotely interact with said system.
6. The system of claim 1 further comprising means for automatically authorizing access to a user of said system.
7. The system of claim 1, wherein said analyzing comprises determining a performance characteristic of a welder performing said welding process, and
- wherein said performance characteristics of a welder include characteristic includes at least one of a weld joint trajectory, a travel speed of said welding tool, welding tool pitch and roll angles, an electrode distance to a center weld joint, an electrode trajectory, and a weld time.
8. The system of claim 1 wherein said quality characteristics of a weld produced by said welding process include characteristic includes at least one of discontinuities and flaws within regions of a said real world weld produced by said welding process.
9. A system for tracking and analyzing welding activity, said system comprising:
- at least one sensor array configured to sense dynamic spatial properties of a welding tool during a welding process producing a real world weld;
- a processor based computing device operatively interfacing to said at least one sensor array and configured to track and analyze in real time or near real time said dynamic spatial properties of a said welding tool over time during a said welding process producing a said real world weld; and
- at least one user interface operatively interfacing to said processor based computing device, said at least one user interface displaying a quality characteristic of said real world weld produced by said welding process.
10. The system of claim 9 wherein said at least one user interface includes a graphical user interface.
11. The system of claim 9 wherein said at least one user interface includes a display device.
12. The system of claim 9 further comprising a network interface configured to interface said processor based computing device to an external communication network.
13. The system of claim 9 wherein said at least one sensor array includes at least one of acoustical sensor elements, optical sensor elements, magnetic sensor elements, inertial sensor elements, and electromagnetic sensor elements.
14. A method for tracking and analyzing welding activity, said method comprising:
- sensing dynamic spatial properties of a welding tool during a welding process producing a real world weld using at least one sensor;
- tracking said sensed dynamic spatial properties over time in real time or near real time during said welding process using a real time tracking module;
- capturing said tracked dynamic spatial properties as tracked data in real time or near real time during said welding process using a computer based memory device; and
- analyzing said tracked data in real time or near real time to determine at least one of performance characteristics of a welder performing said welding process and a quality characteristics characteristic of a said real world weld produced by said welding process using a computer based analysis engine.
15. The method of claim 14, wherein said analyzing further comprises determining a performance characteristic of a welder performing said welding process, and
- wherein said method further comprising comprises outputting said performance characteristics characteristic of a said welder performing said welding process to at least one of a display device, a visualization module, and a testing module for review.
16. The method of claim 14 further comprising outputting said quality characteristics characteristic of a said real world weld produced by said welding process to at least one of a display device, a visualization module, and a testing module for review.
17. The method of claim 14 further comprising selecting welding set up parameters for said welding process via a user interface.
18. The method of claim 14 15 further comprising remotely reviewing at least one of said performance characteristics characteristic of a said welder performing said welding process and said quality characteristics characteristic of a said real world weld produced by said welding process, via a communication network.
19. The method of claim 14, wherein said analyzing further comprises determining a performance characteristic of a welder performing said welding process, and
- wherein said performance characteristics of a welder include characteristic includes at least one of a weld joint trajectory, a travel speed of said welding tool, welding tool pitch and roll angles, an electrode distance to a center weld joint, an electrode trajectory, and a weld time.
20. The method of claim 14 wherein said quality characteristics of a weld produced by said welding process include characteristic includes at least one of discontinuities and flaws within regions of a said real world weld produced by said welding process.
21. The system of claim 9, wherein said analysis of said spatial properties comprise determining at least one of a performance characteristic of a welder performing said welding process and a quality characteristic of said real world weld.
22. The system of claim 21, wherein said performance characteristic includes at least one of a weld joint trajectory, a travel speed of said welding tool, welding tool pitch and roll angles, an electrode distance to a center weld joint, an electrode trajectory, and a weld time.
23. The system of claim 21, wherein said quality characteristic includes at least one of a discontinuity and a flaw within a region of said weld produced by said welding process.
24. The system of claim 23, wherein said quality characteristic includes said flaw and said flaw comprises at least one of porosity and weld overfill.
25. The system of claim 24, wherein said spatial properties comprise at least one of a position, an orientation, and a movement of said welding tool.
26. The system of claim 9, wherein said welding tool comprises a portion of said at least one sensor array.
27. The system of claim 26, wherein said portion of said at least one sensor array includes at least one of acoustical sensor elements, magnetic sensor elements, inertial sensor elements, and electromagnetic sensor elements.
28. The system of claim 12, wherein said network interface is configured to transmit data representing said welding process to a remote system.
29. The system of claim 28, wherein said transmitted data comprises information related to a welder's performance.
30. The system of claim 9, wherein said processor based computing device is further configured to record in real time or near real time performance data corresponding to said welding process, and
- wherein said performance data comprises at least one of a weld joint configuration or a weld joint trajectory, a weld speed, welding tool pitch and roll angles, an electrode distance to a center weld joint, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
31. The system of claim 30, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
32. The system of claim 31, wherein said analyzing further comprises comparing said performance data to known parameters to determine said quality characteristic of said real world weld.
33. The system of claim 9, wherein said analyzing comprises determining a score based on a comparison of at least one of said tracked spatial properties to an optimum value corresponding to said at least one of said tracked spatial properties.
34. The system of claim 33, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one of said tracked spatial properties.
35. The system of claim 34, wherein said tracked spatial properties comprise at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
36. The system of claim 35, wherein said tracked spatial properties includes said welding tool pitch angle.
37. The system of claim 9, wherein said welding process is performed manually.
38. The system of claim 9, wherein said welding process is performed by a robotic welder.
39. The system of claim 11, wherein said display device is integrated into a welding helmet.
40. The system of claim 9, wherein said processor based computing device is configured to set up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
41. The system of claim 9, wherein said welding tool is one of an electrode holder and a welding torch.
42. The system of claim 9, wherein said analysis is performed by an expert system configured identify defective or potentially defective areas along a weld joint.
43. The system of claim 42, wherein said expert system comprises at least one of a rule-based system and a neural network.
44. The system of claim 43, wherein said expert system is said neural network and said analysis is based on weighted factors.
45. The system of claim 9, wherein said processor based computing device is further configured to capture information corresponding to said welding process in an analysis record for subsequent review.
46. The method of claim 14, wherein said sensing comprises measuring at least one of an acoustical signal, a magnetic signal, an optical signal, inertial signal, and an electromagnetic signal.
47. The method of claim 14, further comprising transmitting to a remote system data representing said welding process.
48. The method of claim 47, further comprising analyzing said welding process based on said transmitted data.
49. The method of claim 14, further comprising recording in real time or near real time performance data corresponding to said welding process,
- wherein said performance data comprises at least one of a weld joint configuration or a weld joint trajectory, a weld speed, welding tool pitch and roll angles, an electrode distance to a center weld joint, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
50. The method of claim 49, wherein said recording further comprises recording data corresponding to at least one of weldment materials, electrode materials, user name, and project ID number.
51. The method of claim 49, wherein said analyzing comprises comparing said performance data to known parameters to determine said quality characteristic of said real world weld.
52. The method of claim 14, wherein said analyzing comprises determining a score based on a comparison of at least one of said tracked spatial properties to an optimum value.
53. The method of claim 52, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one of said tracked spatial properties.
54. The method of claim 53, wherein said tracked spatial properties comprise at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
55. The system of claim 54, wherein said tracked spatial properties includes said welding tool pitch angle.
56. The method of claim 14, wherein said welding process is performed manually.
57. The method of claim 14, wherein said welding process is performed by a robotic welder.
58. The method of claim 14, further comprising storing information on said welding process an analysis record.
59. The method of claim 15, wherein said display device is integrated into a welding helmet.
60. The method of claim 16, wherein said display device is integrated into a welding helmet.
61. The method of claim 14, further comprising setting up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
62. The method of claim 14, wherein said welding tool is one of an electrode holder and a welding torch.
63. The method of claim 14, further comprising using an expert system to identify defective or potentially defective areas along said weld.
64. The method of claim 63, wherein said expert system uses at least one of a rule-based system and a neural network.
65. The method of claim 64, wherein said expert system uses said neural network and said identification is based on weighted factors.
66. The method of claim 14, further comprising capturing information corresponding to said welding process in an analysis record for subsequent review.
67. The method of claim 20, wherein said flaws comprise at least one of porosity and weld overfill.
68. The method of claim 67, wherein said spatial properties comprise at least one of a position, an orientation, and a movement of said welding tool.
69. A system for tracking and analyzing welding activity, said system comprising:
- at least one sensor array configured to sense spatial properties of a welding tool during a welding process producing a real world weld; and
- a processor based computing device operatively interfacing to said at least one sensor array and configured to track said spatial properties and record performance data corresponding to said welding process, said processor based computing device further configured to determine a quality characteristic of said real world weld.
70. The system of claim 69, wherein said analysis comprises comparing said performance data to known parameters to determine said quality characteristic of said weld.
71. The system of claim 70, wherein said quality characteristic includes at least one of a discontinuity and a flaw within a region of said weld.
72. The system of claim 71, wherein said recording is performed in real time or near real time.
73. The system of claim 72, wherein said spatial properties comprise at least one of a position, an orientation, and a movement of said welding tool, and
- wherein said performance data comprises at least one of a weld joint configuration or a weld joint trajectory, a weld speed, welding tool pitch and roll angles, an electrode distance to a center weld joint, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
74. The system of claim 73, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
75. The system of claim 73, wherein said analyzing further comprises determining a score based on at least a comparison of at least one of said tracked spatial properties to an optimum value said at least one of said tracked spatial properties.
76. The system of claim 75, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one of said tracked spatial properties.
77. The system of claim 76, wherein said tracked spatial properties comprise at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
78. The system of claim 77, wherein said tracked spatial properties includes said welding tool pitch angle.
79. The system of claim 71, wherein said quality characteristic includes said flaw and said flaw comprises at least one of porosity and weld overfill.
80. The system of claim 69, wherein said welding process is performed manually.
81. The system of claim 69, wherein said welding process is performed by a robotic welder.
82. The system of claim 69, further comprising a display device to display said quality characteristic.
83. The system of claim 82, wherein said display device is integrated into a welding helmet.
84. The system of claim 69, wherein said processor based computing device is configured to set up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
85. The system of claim 69, wherein said welding tool is one of an electrode holder and a welding torch.
86. The system of claim 69, wherein said analysis is performed by an expert system configured identify defective or potentially defective areas along said weld.
87. The system of claim 86, wherein said expert system is a neural network and said analysis is based on weighted factors.
88. The system of claim 69, wherein said processor based computing device is further configured to capture information corresponding to said welding process in an analysis record for subsequent review.
89. A system for tracking and analyzing welding activity, said system comprising:
- a tracking module configured to track spatial positions of a welding tool during a welding process; and
- a processor subsystem configured to ascertain at least one welding parameter during the welding process based on said tracked spatial positions and to determine a score based on a comparison of said at least one welding parameter to an optimum value.
90. The system of claim 89, wherein said at least one welding parameter includes a performance characteristic of a welder.
91. The system of claim 89, wherein said at least one welding parameter includes a quality characteristic of a weld.
92. The system of claim 89, wherein said at least one welding parameter includes a performance characteristic of a welder and a quality characteristic of a weld.
93. The system of claim 89, wherein said processor subsystem includes an expert system.
94. The system of claim 93, wherein said expert system comprises at least one of a rule-based system and a neural network.
95. The system of claim 89, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one welding parameter.
96. The system of claim 95, wherein said at least one welding parameter comprises at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
97. The system of claim 96, wherein said tracked spatial properties includes said welding tool pitch angle.
98. The system of claim 97, wherein said welding process is performed manually.
99. The system of claim 89, wherein said welding process is performed by a robotic welder.
100. The system of claim 91, further comprising a display device to display said quality characteristic.
101. The system of claim 100, wherein said display is integrated into a welding helmet.
102. The system of claim 89, wherein said processor based computing device is configured to set up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
103. The system of claim 89, wherein said welding tool is one of an electrode holder and a welding torch.
104. A method for tracking and analyzing welding activity, said method comprising:
- sensing spatial properties of a welding tool during a welding process producing a real world weld;
- tracking said sensed spatial properties;
- recording performance data corresponding to said welding process; and
- analyzing said performance data in real-time or near real-time to determine a quality characteristic of said real world weld produced by said welding process.
105. The method of claim 104, wherein said analyzing comprises comparing said performance data to a known parameter to determine said quality characteristic of said real world weld.
106. The method of claim 105, wherein said welding process is performed by a robotic welder.
107. The method of claim 105, wherein said quality characteristic includes at least one of a discontinuity and a flaw within a region of said real world weld.
108. The method of claim 107, wherein said quality characteristic includes said flaw and said flaw comprises at least one of porosity and weld overfill.
109. The method of claim 107, wherein said recording is performed in real time or near real time.
110. The method of claim 109, wherein said spatial properties comprise at least one of a position, an orientation, and a movement of said welding tool, and
- wherein said performance data comprises at least one of a weld joint configuration or a weld joint trajectory, a weld speed, welding tool pitch and roll angles, an electrode distance to a center weld joint, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
111. The method of claim 110, wherein further comprising recording at least one of weldment materials, electrode materials, user name, and project ID number.
112. The method of claim 104, wherein said analyzing further comprises determining a score based on at least a comparison of at least one of said tracked spatial properties to an optimum value.
113. The method of claim 112, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one of said tracked spatial properties.
114. The method of claim 113, wherein said tracked spatial properties comprise at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
115. The system of claim 114, wherein said tracked spatial properties includes said welding tool pitch angle.
116. The method of claim 104, wherein said welding process is performed manually.
117. The method of claim 104, further comprising outputting said quality characteristic to a display device.
118. The method of claim 117, wherein said display device is integrated into a welding helmet.
119. The method of claim 104, further comprising setting up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
120. The method of claim 104, wherein said welding tool is one of an electrode holder and a welding torch.
121. The method of claim 104, further comprising using an expert system to identify defective or potentially defective areas along said weld.
122. The method of claim 121, wherein said expert system is a neural network and said identification is based on weighted factors.
123. The method of claim 104, further comprising capturing information corresponding to said welding process in an analysis record for subsequent review.
124. A method for tracking and analyzing welding activity, said system comprising:
- tracking spatial positions of a welding tool during a welding process;
- determining at least one welding parameter during the welding process based on said tracked spatial positions;
- determining a score based on a comparison of said at least one welding parameter to an optimum value.
125. The method of claim 124, wherein said determining of said at least one welding parameter comprises analyzing a performance characteristic of a welder.
126. The method of claim 124, wherein said determining of said at least one welding parameter comprises analyzing a quality characteristic of a weld.
127. The method of claim 124, wherein said determining of said at least one welding parameter comprises analyzing a performance characteristic of a welder and a quality characteristic of a weld.
128. The method of claim 124, wherein said determining of said at least one welding parameter comprises using an expert system.
129. The method of claim 128, wherein said expert system uses at least one of a rule-based system and a neural network.
130. The method of claim 124, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one welding parameter.
131. The method of claim 130, wherein said at least one welding parameter comprises at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
132. The method of claim 131, wherein said at least one welding parameter includes said welding tool pitch angle.
133. The method of claim 124, wherein said welding process is performed manually.
134. The method of claim 124, wherein said welding process is performed by a robotic welder.
135. The method of claim 124, further comprising setting up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
136. The system of claim 124, wherein said welding tool is one of an electrode holder and a welding torch.
137. A system for tracking welding activity, said system comprising:
- an optical tracking system that tracks at least one of a position, a movement, and an orientation of a welding tool; and
- a computer operatively interfacing to said optical tracking system, said computer determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
- wherein said processor based computing device determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
138. The system of claim 137, wherein said score relates to a weld quality of a real world weld.
139. The system of claim 138, wherein said score relates to said weld quality of said real world weld, and
- wherein said weld quality includes an indication of at least one of a discontinuity and a flaw within a region of said real world weld.
140. The system of claim 139, wherein said weld quality includes an indication of said flaw and said flaw comprises at least one of porosity and weld overfill.
141. The system of claim 139, wherein said determination of said score is performed in real time or near real time.
142. The system of claim 138, wherein an expert system identifies defective or potentially defective areas along said real world weld.
143. The system of claim 137, wherein said at least one parameter further includes at least one of a weld joint configuration or a weld joint trajectory, a weld speed, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
144. The system of claim 137, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
145. The system of claim 137, wherein said at least one predetermined limit includes an upper limit and a lower limit.
146. The system of claim 137, further comprising a display device to display said score.
147. The system of claim 146, wherein said display device is integrated into a welding helmet.
148. The system of claim 137, wherein said welding tool is one of an electrode holder and a welding torch.
149. A system for tracking welding activity, said system comprising:
- an infrared tracking system that tracks at least one of a position, a movement, and an orientation of a welding tool based on an infrared element attached to said welding tool; and
- a computer operatively interfacing to said infrared tracking system, said computer determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
- wherein said computer determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
150. The system of claim 149, wherein said score relates to a weld quality of a real world weld.
151. The system of claim 150, wherein an expert system identifies defective or potentially defective areas along said real world weld.
152. The system of claim 150, wherein said score relates to said weld quality of said real world weld, and
- wherein said weld quality includes an indication of at least one of a discontinuity and a flaw within a region of said real world weld.
153. The system of claim 152, wherein said weld quality includes an indication of said flaw and said flaw comprises at least one of porosity and weld overfill.
154. The system of claim 152, wherein said determination of said score is performed in real time or near real time.
155. The system of claim 149, wherein said at least one parameter further includes at least one of a weld joint configuration or a weld joint trajectory, a weld speed, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
156. The system of claim 149, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
157. The system of claim 149, wherein said at least one predetermined limit includes an upper limit and a lower limit.
158. The system of claim 149, further comprising a display device to display said score.
159. The system of claim 158, wherein said display device is integrated into a welding helmet.
160. The system of claim 149, wherein said welding tool is one of an electrode holder and a welding torch.
161. A method for tracking welding activity, said method comprising:
- optically tracking at least one of a position, a movement, and an orientation of a welding tool;
- determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool; and
- computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
162. The method of claim 161, wherein said score relates to a weld quality of a real world weld.
163. The method of claim 162, wherein an expert system identifies defective or potentially defective areas along said real world weld.
164. The method of claim 162, wherein said score relates to said weld quality of said real world weld, and
- wherein said weld quality includes an indication of at least one of a discontinuity and a flaw within a region of said real world weld.
165. The method of claim 164, wherein said weld quality includes an indication of said flaw and said flaw comprises at least one of porosity and weld overfill.
166. The method of claim 164, wherein said determination of said score is performed in real time or near real time.
167. The method of claim 161, wherein said at least one parameter further includes at least one of a weld joint configuration or a weld joint trajectory, a weld speed, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
168. The method of claim 167, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
169. The method of claim 161, wherein said at least one predetermined limit includes an upper limit and a lower limit.
170. The method of claim 161, further comprising a display device to display said score.
171. The method of claim 170, wherein said display device is integrated into a welding helmet.
172. The method of claim 161, wherein said welding tool is one of an electrode holder and a welding torch.
173. A method for tracking welding activity, said method comprising:
- tracking by infrared at least one of a position, a movement, and an orientation of a welding tool based on an infrared element attached to said welding tool;
- determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool; and
- computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
174. The method of claim 173, wherein said score relates to a weld quality of a real world weld.
175. The method of claim 174, wherein said score relates to said weld quality of said real world weld, and
- wherein said weld quality includes an indication of at least one of a discontinuity and a flaw within a region of said real world weld.
176. The method of claim 175, wherein said weld quality includes an indication of said flaw and said flaw comprises at least one of porosity and weld overfill.
177. The method of claim 175, wherein said determination of said score is performed in real time or near real time.
178. The method of claim 174, wherein an expert system identifies defective or potentially defective areas along said real world weld.
179. The method of claim 173, wherein said at least one parameter further includes at least one of a weld joint configuration or a weld joint trajectory, a weld speed, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
180. The method of claim 179, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
181. The method of claim 173, wherein said at least one predetermined limit includes an upper limit and a lower limit.
182. The method of claim 173, further comprising a display device to display said score.
183. The method of claim 182, wherein said display device is integrated into a welding helmet.
184. The method of claim 173, wherein said welding tool is one of an electrode holder and a welding torch.
185. A system for tracking and analyzing welding activity, said system comprising:
- at least one sensor array configured to sense spatial properties of a welding tool during a welding process producing a real world weld;
- a processor based computing device operatively interfacing to said at least one sensor array and configured to track and analyze in real time or near real time said spatial properties of said welding tool during said welding process producing said real world weld; and
- at least one display interfacing to said processor based computing device, said at least one display displaying a quality characteristic of said real world weld produced by said welding process.
186. A system for tracking welding activity, said system comprising:
- an infrared tracking system that tracks at least one of a position, a movement, and an orientation of a welding tool based on an infrared emitter attached to said welding tool; and
- a computer operatively interfacing to said infrared tracking system, said computer determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
- wherein said computer determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
187. A method for tracking welding activity, said method comprising:
- tracking by infrared at least one of a position, a movement, and an orientation of a welding tool based on an infrared emission from said welding tool;
- determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
- computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
188. A system for tracking welding activity, said system comprising:
- an optical tracking system that tracks in real time or near real time at least one of a position, a movement, and an orientation of a welding tool; and
- a computer operatively interfacing to said optical tracking system, said computer determining in real time or near real time at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
- wherein said processor based computing device determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter, and
- wherein said score relates to a weld quality of a real world weld.
189. The system of claim 188, wherein said determination of said score is performed in real time or near real time.
190. A system for tracking welding activity, said system comprising:
- an infrared tracking system that tracks in real time or near real time at least one of a position, a movement, and an orientation of a welding tool based on an infrared element attached to said welding tool; and
- a computer operatively interfacing to said infrared tracking system, said computer determining in real time or near real time at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
- wherein said computer determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter, and
- wherein said score relates to a weld quality of a real world weld.
191. The system of claim 190, wherein said determination of said score is performed in real time or near real time.
192. A method for tracking welding activity, said method comprising:
- optically tracking in real time or near real time at least one of a position, a movement, and an orientation of a welding tool;
- determining in real time or near real time at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool; and
- computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter, and
- wherein said score relates to a weld quality of a real world weld.
193. The method of claim 192, wherein said determination of said score is performed in real time or near real time.
194. A method for tracking welding activity, said method comprising:
- tracking by infrared in real time or near real time at least one of a position, a movement, and an orientation of a welding tool based on an infrared element attached to said welding tool;
- determining in real time or near real time at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool; and
- computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter, and
- wherein said score relates to a weld quality of a real world weld.
195. The method of claim 194, wherein said determination of said score is performed in real time or near real time.
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Type: Grant
Filed: Feb 11, 2014
Date of Patent: Mar 3, 2015
Assignee: Lincoln Global, Inc. (City of Industry, CA)
Inventor: Matthew Wayne Wallace (South Windsor, CT)
Primary Examiner: David Vu
Assistant Examiner: Jonathan Han
Application Number: 14/177,692
International Classification: B23K 9/06 (20060101);