Patent Grant
8515708
This application is a U.S. National Phase application of International Application Serial No. PCT/AU2009/000384, filed on Mar. 31, 2009, entitled A METHOD FOR POSITION-CALIBRATION OF A DIGGING ASSEMBLY FOR ELECTRIC MINING SHOVELS, which claims priority to Australian Patent Application No. 2008901560, filed on Apr. 1, 2008, which are incorporated by reference.
The present invention relates generally to the field of positioning mechanical equipment, and particularly to the likes of mechanical excavation and electric mining shovels. In one embodiment, there is disclosed a system for calibrating the sensors that measure hoist and crowd motions for an electric mining shovel, enabling the position of a bucket to be known with greater accuracy than can be achieved using previously known approaches. However, it will be appreciated that the invention is not limited to this particular field of use.
Any discussion of the prior art throughout the specification should in no way be considered as an admission that such prior art is widely known or forms part of common general knowledge in the field.
Electric mining shovels are commonly used in open-pit mining. Accurate knowledge of the spatial position of such a machine's bucket (or dipper) is important, and finds application in several operational contexts. Examples include:
Accurate determination of bucket position requires calibration of the sensors used to measure swing, crowd and hoist motions. In practice, these sensors are typically angular position sensors (e.g. rotary resolvers) attached to actuators (e.g. electric motors) of the machine's motion axes.
The bucket position can be established by using these sensor readings in conjunction with a so-called forward kinematic map that relates the positions of the motors to the positions of the bucket. Calibration amounts to determining offsets for each resolver. When these offsets are added to the measured sensor values, they accurately establish actual bucket position through the forward kinematic map.
Calibration of the swing resolver can be realized using a secondary device that indicates when the swing axis is at zero position. Such devices can be readily constructed by people skilled in the field. The hoist and crowd motions are normally coupled and a more sophisticated approach is needed.
The control systems of modern mining shovels provide procedures for calibrating hoist and crowd resolver offsets. These procedures require that the operator position the bucket at a sequence of specified locations. The process relies on operator judgement and in practice the determination of offsets using these methods is inaccurate and imprecise. Recalibration must be performed at frequent intervals, for example when the bucket or the hoist ropes are changed.
Wauge (see Wauge, D. 2007. Payload Estimation for Electric Mining Shovels, PhD Thesis, The University of Queensland, Australia) describes a multi-point photometric method to calibrate the offsets of the hoist and crowd resolvers. This technique generates accurate calibration results, but is labour intensive and not appropriate in a production environment.
It is an object of the present invention to overcome or ameliorate at least one of the disadvantages of the prior art, or to provide a useful alternative. It is an object of the present invention, at least according to some embodiments, to provide an improved method for position calibration of a digging assembly for electric mining shovels.
In accordance with a first aspect of the present invention, there is provided a method of calibrating a work implement location, the work implement being attached to a machine house, the method comprising the steps of: (a) defining a h-frame comprising a set of Cartesian coordinate axes fixed to the machine house with the (X, Z) plane being in the sagittal plane of the machine house and the Y-axis being orthogonal; (b) utilising a range measurement sensor at a point ph=(xh,zh) in the h-frame to create a directed line of measurement in the (Xh,Zh)-plane of the h-frame originating at ph along which a range measurement is made, designated by angle θh; (c) defining a d-frame comprising a set of Cartesian coordinate axes fixed to the work implement; (d) providing a range measurement sensor target at a point pd=(xd,zd) in the d-frame on the work implement; (e) measuring a Cartesian distance d between ph and pd; and (f) measuring corresponding positions of motors used to drive the work implement.
The work implement can comprise a shovel handle and dipper assembly. The digging assembly can be attached to a hoist and crowd motor and the method further can comprise correlating the distance d with the measured position of the hoist motor, dhm and the crowd motor dcm for different distances d.
In accordance with a second aspect of the invention there is provided a system for allowing the calibration of a work implement location, the work implement being attached to a machine house, the system comprising:
In accordance with a third aspect of the invention there is provided a computer program product configured to perform a method described herein.
A computer program product is preferably stored on a computer usable medium, and adapted to provide calibration of a work implement location, the work implement being attached to a machine house, the computer program product comprising a computer readable program means for performing a method as described herein.
In accordance with a fourth aspect of the invention there is provided computer hardware including one or more processors configured to perform a method as described herein.
In accordance with a further aspect of the present invention, there is provided a method of calibrating the offsets of the hoist and crowd position measurement sensors for electric mining shovels using a range measurement sensor, substantially as herein described with reference to any one of the embodiments of the invention illustrated in the accompanying drawings and/or examples.
Preferred embodiments include improvements for determining offsets on the hoist and crowd motion position sensors using an independent range sensor that measures the distance between defined positions on the machine house and dipper-handle assembly.
Unless the context clearly requires otherwise, throughout the description and the claims, the words “comprise”, “comprising”, and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is to say, in the sense of “including, but not limited to”.
Preferred forms of the present invention will now be described with reference to the accompanying drawings in which:
As shown in
The definitions of geometry variables relevant to the discussion of the preferred embodiment are shown in
The preferred embodiment is described in terms of the following:
An initial calibration procedure requires machine operators to manoeuvre the bucket so that the target passes across the line of measurement. In practice this amounts to either raising or lowering the dipper, preferably at low speed. The calibration system is required to record the range measurement d and the hoist and crowd motor measurements dhm and dcm when the target is in view.
The calibration offsets are computed in two stages. The objective of the first stage is to compute:
The motor positions dhm and dcm are related to the hoist and crowd extensions by transmission ratios governed by the specific mechanical design of the machine. The use of the adjective “true” here refers to the actual values of these quantities as opposed to the values that are obtained by multiplying the resolver values by the appropriate transmission ratios with incorrect offsets.
If the location of the range sensor origin relative to the house frame is (xh,zh), and the range measurement and angular elevation are (d, θh), the position vector of the target in the house frame is:
vt=(vtx,vtz)=(xh+d cos θh,szh+d sin θh)
The normal distance from the saddle pivot to the x-axis of the d-frame is the radius of the saddle pinion, rp. Defining the location of the centre of the saddle pinion relative to the h-frame origin by the vector vp=(vpx, vpz), the extension of the crowd actuator can be found from the target location using:
dc=xd+√{square root over (∥(vt−vp)∥−(rp+zd)2)}{square root over (∥(vt−vp)∥−(rp+zd)2)}
The orientation of the d-frame with respect to the h-frame is given by θs, which is calculated from the target location using:
This is valid for any reflector position where vtx≧vpx.
From the crowd extension and saddle angle, the position of the bail pin in the h-frame can be found as follows:
vbp=vp+(dc sin θs+(rp+zbp)cos θs,−dc cos θs+(rp+zbp)sin θs)
Defining the location of the centre of the sheaves by the vector vs=(vsx, vsz), and the radius of the sheaves as rs, the hoist extension dh can be calculated:
dh=√{square root over (∥vs−vbp∥2−rs2)}
The objective at the second stage is to calculate the calibration offsets, oh and oc, for each of the actuator position measurement sensors using the true extensions and measured motor positions, and correcting for rolling motion of the handle rack around the saddle pinion and the wrap of hoist cables over the sheaves.
The measured crowd motor position, reflected to the handle rack, is dcm. The crowd resolver offset is found using:
oc=dc−dcm−rpθs
The measured hoist motor position, reflected to the hoist rope, is dhm. The hoist resolver offset is found using:
The innovative feature of this calculation process can include the use of an independent range measurement sensor directed along a line to resolve the crowd and hoist offsets oc and oh.
Block 410 includes defining a h-frame comprising a set of Cartesian coordinate axes fixed to the machine house with the (X, Z) plane being in the sagittal plane of the machine house and the Y-axis being orthogonal
Block 420 includes utilising a range measurement sensor at a point ph=(xh,zh) in the h-frame to create a directed line of measurement in the (Xh,Zh)-plane of the h-frame originating at ph along which a range measurement is made, designated by angle θh;
Block 430 includes defining a d-frame comprising a set of Cartesian coordinate axes fixed to the work implement;
Block 440 includes providing a range measurement sensor target at a point pd=(xd,zd) in the d-frame on the work implement;
Block 450 includes measuring a Cartesian distance d between ph and pd; and
Block 460 includes measuring corresponding positions of motors used to drive the work implement.
It will be appreciated that computer program product can be configured to perform a method as described herein.
A computer program product can be stored on a computer usable medium, the computer program product adapted to provide calibration of a work implement location, the work implement being attached to a machine house, the computer program product comprising a computer readable program means for performing a method as described herein.
It will also be appreciated that computer hardware including one or more processors can be configured to perform a method as described herein.
The described methodology facilitates the calibration of hoist and crowd position measurements associated with the digging assembly of electric mining shovels.
The methodology is suited to a machine-based implementation that could be easily and quickly performed by the machine operator.
Although the invention has been described with reference to specific examples it will be appreciated by those skilled in the art that the invention may be embodied in many other forms.
Unless specifically stated otherwise, as apparent from the following discussions, it is appreciated that throughout the specification discussions utilizing terms such as “processing,” “computing,” “calculating,” “determining”, analyzing” or the like, refer to the action and/or processes of a computer or computing system, or similar electronic computing device, that manipulate and/or transform data represented as physical, such as electronic, quantities into other data similarly represented as physical quantities.
The methodologies described herein are, in one embodiment, performable by one or more processors that accept computer-readable (also called machine-readable) code containing a set of instructions that when executed by one or more of the processors carry out at least one of the methods described herein. Any processor capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken are included. Thus, one example is a typical processing system that includes one or more processors.
The term “processor” may refer to any device or portion of a device that processes electronic data, e.g., from registers and/or memory to transform that electronic data into other electronic data that, e.g., may be stored in registers and/or memory. A “computer” or a “computing machine” or a “computing platform” may include one or more processors.
Each processor may include one or more of a CPU, a graphics processing unit, and a programmable DSP unit. The processing system further may include a memory subsystem including main RAM and/or a static RAM, and/or ROM. A bus subsystem may be included for communicating between the components. The processing system further may be a distributed processing system with processors coupled by a network. If the processing system requires a display, such a display may be included, e.g., a liquid crystal display (LCD) or a cathode ray tube (CRT) display. If manual data entry is required, the processing system also includes an input device such as one or more of an alphanumeric input unit such as a keyboard, a pointing control device such as a mouse, and so forth. The term memory unit as used herein, if clear from the context and unless explicitly stated otherwise, also encompasses a storage system such as a disk drive unit. The processing system in some configurations may include a sound output device, and a network interface device. The memory subsystem thus includes a computer-readable carrier medium that carries computer-readable code (e.g., software) including a set of instructions to cause performing, when executed by one or more processors, one of more of the methods described herein. Note that when the method includes several elements, e.g., several steps, no ordering of such elements is implied, unless specifically stated. The software may reside in the hard disk, or may also reside, completely or at least partially, within the RAM and/or within the processor during execution thereof by the computer system. Thus, the memory and the processor also constitute computer-readable carrier medium carrying computer-readable code.
One embodiment of each of the methods described herein is in the form of a computer-readable carrier medium carrying a set of instructions, e.g., a computer program that is for execution on one or more processors, e.g., one or more processors that are part of web server arrangement. Thus, as will be appreciated by those skilled in the art, embodiments of the present invention may be embodied as a method, an apparatus such as a special purpose apparatus, an apparatus such as a data processing system, or a computer-readable carrier medium, e.g., a computer program product. The computer-readable carrier medium carries computer readable code including a set of instructions that when executed on one or more processors cause the processor or processors to implement a method. Accordingly, aspects of the present invention may take the form of a method, an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of carrier medium (e.g., a computer program product on a computer-readable storage medium) carrying computer-readable program code embodied in the medium.
Reference throughout this specification to “one embodiment” or “an embodiment” means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment, but may. Furthermore, the particular features, structures or characteristics may be combined in any suitable manner, as would be apparent to one of ordinary skill in the art from this disclosure, in one or more embodiments.
However, it is understood that embodiments of the invention may be practiced without these specific details. In other instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
While there has been described what are believed to be the preferred embodiments of the invention, those skilled in the art will recognize that other and further modifications may be made thereto without departing from the spirit of the invention, and it is intended to claim all such changes and modifications as falling within the scope of the invention. For example, any formulas given above are merely representative of procedures that may be used. Functionality may be added or deleted from the block diagrams and operations may be interchanged among functional blocks. Steps may be added or deleted to methods described within the scope of the present invention.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2008901560 | Apr 2008 | AU | national |
| Filing Document | Filing Date | Country | Kind | 371c Date |
|---|---|---|---|---|
| PCT/AU2009/000384 | 3/31/2009 | WO | 00 | 9/29/2010 |
| Publishing Document | Publishing Date | Country | Kind |
|---|---|---|---|
| WO2009/121122 | 10/8/2009 | WO | A |
| Number | Name | Date | Kind |
|---|---|---|---|
| 5848485 | Anderson et al. | Dec 1998 | A |
| 6108076 | Hanseder | Aug 2000 | A |
| 6225574 | Chang et al. | May 2001 | B1 |
| 7079931 | Sahm et al. | Jul 2006 | B2 |
| Number | Date | Country |
|---|---|---|
| WO-9305479 | Mar 1993 | WO |
| WO2008091395 | Jul 2008 | WO |
| Entry |
|---|
| International Search Report for International Application No. PCT/AU2009/000384, Applicant: CMTE Development Limited et al., mailing date Jun. 29, 2009, 4 pages. |
| Wauge, D., “Payload Estimation for Electric Mining Shovels,” School of Engineering, The University of Queensland, PhD Thesis, Australia, 2007, 246 pages. |
| Number | Date | Country | |
|---|---|---|---|
| 20110029279 A1 | Feb 2011 | US |
