JP2022120381A - Geometrical element discrimination device, geometrical element discrimination method, program, and three-dimensional measuring machine - Google Patents

Abstract

To provide a geometrical element discrimination device, a geometrical element determination method, a program, and a three-dimensional measuring machine that can reduce operations to correct a discrimination result caused by erroneous discrimination in geometrical element discrimination to improve measurement efficiency.SOLUTION: A geometrical element discrimination device comprises: a measurement data acquisition unit that acquires measurement data of a measuring object; a discrimination method setting unit (90) that sets two or more discrimination methods for deriving geometrical element candidates for the measuring object by using the measurement data, the discrimination methods in which reliability in geometrical element discrimination is regulated; a geometrical element candidate derivation unit (92) that applies the two or more discrimination methods and derives geometrical element candidates for each of the discrimination methods on the basis of the measurement data; and a discrimination result derivation unit (92) that derives a reliability point based on the reliability of each of the discrimination methods for each of the geometrical element candidates, and derives a geometrical element candidate with the highest reliability point as a discrimination result.SELECTED DRAWING: Figure 3

Description

The present invention relates to a geometric element discrimination device, a geometric element discrimination method, a program, and a three-dimensional measuring machine.

2. Description of the Related Art There is known a three-dimensional measuring machine equipped with software that realizes a geometric element discrimination function that automatically discriminates the geometric elements of a workpiece. A device equipped with a geometric element discrimination function can measure workpieces without the operator having to operate software, contributing to improved measurement efficiency.

The geometric element determination function obtains parameters including the number of probing points, the probing direction, the coordinate values of the probing points, etc., inputs the obtained parameters into a predetermined conditional expression, and determines the geometric elements in the workpiece.

Patent Literature 1 describes a three-dimensional measuring machine that measures the geometry of an object to be measured. The device described in the same document calculates the error of each geometric shape based on the measured value of the object to be measured and each formula representing a plurality of geometric shapes that have been input in advance, and calculates the geometric shape that minimizes the error. and the measurement direction, the optimal geometry is recognized.

JP-A-6-50749

If proper probing is performed, proper discrimination results can be obtained in the automatic discrimination of geometric elements. However, appropriate probing is not always performed due to the skill level of the user, the habit of the user, the shape of the workpiece, and the like. If inappropriate probing is performed, there is concern that results unintended by the user may be obtained in the automatic discrimination of geometric elements.

If an erroneous determination occurs in the automatic determination of the geometric elements, the user will have to correct the automatically determined geometric elements. Due to the occurrence of erroneous discrimination, the number of correction operations by the user increases, and there is a concern that the measurement efficiency will decrease.

The invention described in Patent Literature 1 aims at suppressing erroneous designation of the geometric shape of the object to be measured and interruption of joystick operation. not Moreover, Patent Literature 1 does not disclose specific means for solving this problem.

The present invention has been made in view of such circumstances. and to provide a three-dimensional measuring machine.

In order to achieve the above object, the following aspects of the invention are provided.

A geometric element discrimination device according to the present disclosure includes a measurement data acquisition unit that acquires measurement data of a measurement object, and a discrimination method that derives geometric element candidates of the measurement object using the measurement data. A discrimination method setting unit that sets two or more discrimination methods for which degrees are specified, and a geometric element candidate derivation that applies each of the two or more discrimination methods and derives geometric element candidates based on measurement data for each discrimination method. and a determination result derivation unit that derives a reliability point based on the reliability of each determination method for each geometric element candidate and derives a geometric element candidate with the highest reliability point as a determination result. is.

According to the geometric element determination device according to the present disclosure, two or more determination methods are applied, and geometric element candidates are derived for each determination method. Geometric element candidates are defined for each discrimination method, reliability points are derived based on the reliability, and the geometric element candidate with the highest reliability point is derived as a discrimination result. This improves the reliability of geometric element discrimination, suppresses the occurrence of erroneous geometric element discrimination, reduces correction operations caused by erroneous geometric element discrimination, and improves measurement efficiency.

The measurement data may include parameters applied to geometric feature discrimination. Parameters applied to geometric element discrimination may include the number of probing points, the coordinate values of probing points, and the probing direction.

Two or more discrimination methods can be selected from a plurality of discrimination methods stored in advance. A display section for displaying a plurality of discrimination methods stored in advance is provided, and a discrimination method selected by the user from the displayed discrimination methods can be adopted.

In the geometric element discrimination device according to another aspect, the discrimination result deriving unit adds up the reliability of a plurality of discrimination methods that derive the same geometric element candidate, derives a reliability point for each geometric element candidate, and calculates the reliability A geometric element candidate with the maximum degree point is derived as a discrimination result.

According to this aspect, the discrimination result is derived based on the reliability of the discrimination method. This is expected to improve the reliability of the determination result.

A geometric element discriminating device according to another aspect includes a discrimination result changing unit that changes the discrimination result derived using the discrimination result deriving unit.

According to this aspect, erroneous discrimination can be avoided, and the reliability of discrimination results can be further improved.

In a geometric element determination device according to another aspect, the determination result deriving unit derives a plurality of geometric element candidates, defines the plurality of geometric element candidates as the second candidate and subsequent geometric element candidates in descending order of reliability points, The determination result changing unit selects a geometric element candidate that will be the changed determination result from among the geometric element candidates after the second candidate.

According to this aspect, it is possible to select a geometric element candidate according to the reliability point when changing the determination result.

A geometric element determination device according to another aspect includes a display unit that displays a geometric element candidate as a change candidate when changing the geometric element candidate.

According to this aspect, a geometric element candidate for changing the determination result can be selected from among the geometric element candidates displayed on the display unit.

A geometric element discrimination device according to another aspect, wherein the discrimination method is to discriminate the dimension of the geometric element by applying the first dimension discrimination threshold, and for the geometric element whose dimension has been discriminated, the first element discrimination threshold is applied. A first discriminant scheme is included that is applied to discriminate the elements of the geometric element.

According to this aspect, geometric element candidates can be derived based on dimension discrimination and geometric element discrimination performed using prescribed thresholds.

In a geometric element discrimination device according to another aspect, the discrimination method includes a second discrimination method in which a threshold applied to geometric element discrimination is set according to the user.

According to this aspect, the threshold is set in which the user's skill level and the like are reflected. Thereby, derivation of geometric element candidates according to the user can be performed.

A geometric element discriminating apparatus according to another aspect, wherein the second discriminating method discriminates the dimension of the geometric element by applying a second dimension discriminating threshold set according to the user, and the geometric element whose dimension is discriminated , the element of the geometric element is determined by applying the second element determination threshold set according to the user.

According to this aspect, geometric element candidates can be derived based on dimension discrimination and geometric element discrimination performed using prescribed thresholds.

A geometric element discriminating device according to another aspect has a discriminating method in which a discriminant result is used as correct data, and a trained model trained by using measurement data from which the correct data is obtained and correct data as learning data is applied. method is included.

According to this aspect, geometric element discrimination to which the learned model is applied can be implemented.

A geometric element discriminating device according to another aspect includes a maintenance unit that performs at least one of addition, deletion, and change of discrimination methods.

According to this aspect, maintenance such as addition of a discrimination method can be performed.

A geometric element discriminating device according to another aspect includes a reliability changing unit that changes the reliability for each discriminating method according to a discrimination result.

According to this aspect, the reliability of each discrimination method can be improved.

In this aspect, the reliability of the discrimination method that derives the geometric element candidates that are the discrimination results may be increased. Also, the reliability of the discrimination method that derives the geometric element candidates that are not used as the discrimination result may be reduced.

A geometric element discrimination device according to another aspect is a display unit that displays various information of geometric element discrimination, and includes a display unit that displays a state indicating validity or invalidity for each discrimination method and a reliability for each discrimination method. .

According to this aspect, the user can visually recognize the state of each discrimination method and the reliability of each discrimination method.

A geometric element discrimination method according to the present disclosure includes a measurement data acquisition step of acquiring measurement data of a measurement object and a discrimination method of deriving a geometric element candidate of the measurement object using the measurement data. A discrimination method setting step of setting two or more discrimination methods for which degrees are defined;
A geometric element candidate derivation step of applying each of two or more discrimination methods to derive a geometric element candidate based on measurement data for each discrimination method, and calculating a reliability point based on the reliability of each discrimination method for each geometric element candidate and a determination result deriving step of deriving a geometric element candidate with the highest reliability point as a determination result.

According to the geometric element discrimination method according to the present disclosure, it is possible to obtain the same effects as the geometric element discrimination device according to the present disclosure. The configuration requirements of the geometric element discrimination device according to another aspect can be applied to the configuration requirements of the geometric element discrimination method according to another aspect.

The program according to the present disclosure is a computer, a measurement data acquisition function for acquiring measurement data of a measurement object, a determination method for deriving geometric element candidates for the measurement object using the measurement data, and reliability in geometric element determination A discrimination method setting function that sets two or more discrimination methods in which is specified, a geometric element candidate derivation function that derives geometric element candidates based on measurement data for each discrimination method by applying each of the two or more discrimination methods, and a program for realizing a determination result deriving function of deriving a reliability point based on the reliability of each determination method for each geometric element candidate and deriving a geometric element candidate with the highest reliability point as a determination result.

According to the program according to the present disclosure, it is possible to obtain the same effects as the geometric element determination device according to the present disclosure. The constituent requirements of the geometric element discriminating device according to other aspects can be applied to the constituent requirements of the program according to other aspects.

A three-dimensional measuring machine according to the present disclosure includes a measurement unit having a probe that measures a measurement object, a measurement data acquisition unit that acquires measurement data of the measurement object from the probe, and a measurement object using the measurement data. A discrimination method for deriving geometric element candidates, a discrimination method setting unit for setting two or more discrimination methods that define reliability in geometric element discrimination, and a discrimination method by applying each of the two or more discrimination methods A geometric element candidate derivation unit that derives geometric element candidates based on measurement data for each unit, and a reliability point based on the reliability of each discrimination method is derived for each geometric element candidate, and the geometric element candidate with the highest reliability point is determined. and a determination result derivation unit that derives a result.

According to the three-dimensional measuring machine according to the present disclosure, it is possible to obtain the same effects as the geometric element determination device according to the present disclosure. The configuration requirements of the geometric element determination device according to other aspects can be applied to the configuration requirements of the three-dimensional measuring machine according to other aspects.

A three-dimensional apparatus according to another aspect includes a geometric element calculator that calculates parameters of geometric elements based on the determination result.

According to this aspect, various parameters of the geometric element can be calculated based on the geometric element determination result.

In such an aspect, a display for displaying parameters of the geometric element may be provided.

According to the present invention, two or more discrimination schemes are applied, and geometric element candidates are derived for each discrimination scheme. Geometric element candidates are defined for each discrimination method, reliability points are derived based on the reliability, and the geometric element candidate with the highest reliability point is derived as a discrimination result. This improves the reliability of geometric element discrimination, suppresses the occurrence of erroneous geometric element discrimination, reduces correction operations caused by erroneous geometric element discrimination, and improves measurement efficiency.

FIG. 1 is an overall configuration diagram of a three-dimensional measuring machine according to an embodiment. 2 is a functional block diagram showing an electrical configuration applied to the three-dimensional measuring machine shown in FIG. 1. FIG. FIG. 3 is a functional block diagram of the geometric element discriminating section shown in FIG. FIG. 4 is a flow chart showing the procedure of the geometric element discrimination method according to the embodiment. FIG. 5 is an explanatory diagram of a geometrical element discrimination function applied to the three-dimensional measuring machine shown in FIG. FIG. 6 is a flow chart showing the procedure of the standard system shown in FIG. FIG. 7 is a flow chart showing the procedure of the calibration A method shown in FIG. FIG. 8 is an explanatory diagram of an initial screen applied to geometric element discrimination. FIG. 9 is an explanatory diagram of the screen when the first probing point is probed. FIG. 10 is an explanatory diagram of determination processing when the first probing point is probed. FIG. 11 is an explanatory diagram of the screen when the second probing point is probed. FIG. 12 is an explanatory diagram of the determination processing when the second probing point is probed. FIG. 13 is an explanatory diagram of the screen when the third probing point is probed. FIG. 14 is an explanatory diagram of determination processing when the third probing point is probed. FIG. 15 is an explanatory diagram of the screen when the sixth probing point is probed. FIG. 16 is an explanatory diagram of the determination processing when the sixth probing point is probed. FIG. 17 is an explanatory diagram of changing the determination result. FIG. 18 is an explanatory diagram of geometric element selection. FIG. 19 is an explanatory diagram of a case where the second candidate is changed to one of the geometric element candidates listed as the fourth candidate. FIG. 20 is an explanatory diagram of processing when a geometric element candidate is changed. FIG. 21 is an explanatory diagram of a screen when geometric element calculation is performed. FIG. 22 is an explanatory diagram showing a display example of geometric element calculation results. FIG. 23 is an explanatory diagram of an example of changing reliability. FIG. 24 is an explanatory diagram of another example of changing reliability. FIG. 25 is an explanatory diagram of the maintenance screen.

Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. In this specification, the same components are denoted by the same reference numerals, and overlapping descriptions are omitted as appropriate.

[Overall Configuration of Coordinate Measuring Machine]
FIG. 1 is an overall configuration diagram of a three-dimensional measuring machine according to an embodiment. The three-dimensional measuring machine 10 acquires coordinate values of measurement points on a workpiece, measures the three-dimensional shape of the workpiece, and analyzes geometric elements included in the workpiece. A three-dimensional measuring machine is sometimes referred to as a CMM using an abbreviation for Coordinate Measuring Machine in English. A workpiece described in the embodiments is an example of a measurement object.

The three-dimensional measuring machine 10 shown in the same figure comprises a base 12, a table 14, a right Y carriage 16R, a left Y carriage 16L, an X guide 18, an X carriage 20, a Z carriage 22 and a probe head 24.

The pedestal 12 is a support that supports the lower surface of the table 14 . A surface plate is applied to the table 14 . The table 14 has a right Y carriage 16R erected at one end in the X-axis direction of the upper surface, and a left Y carriage 16L erected at the other end.

Sliding surfaces on which the right Y carriage 16R and the left Y carriage 16L slide along the Y axis are formed on the upper surface and side surfaces of both ends of the table 14 in the X axis direction. Further, the right Y carriage 16R and the left Y carriage 16L are provided with air bearings at positions facing the sliding surface of the table 14. As shown in FIG. That is, the right Y carriage 16R and the left Y carriage 16L are supported by the table 14 so as to be movable in the Y-axis direction. Illustration of air bearings provided in the right Y carriage 16R and the left Y carriage 16L is omitted.

The X guide 18 is supported at one end in the X-axis direction using the right Y carriage 16R and supported at the other end in the X-axis direction using the left Y carriage 16L. The right Y carriage 16R, the left Y carriage 16L and the X guide 18 constitute a portal frame 26. As shown in FIG. The portal frame 26 is configured to be movable in the Y-axis direction.

The X guide 18 has a sliding surface along the X-axis direction on which the X carriage 20 slides. The X carriage 20 has an air bearing at a position facing the sliding surface of the X guide 18 . The X carriage 20 is supported movably in the X-axis direction using an X guide 18 . Illustration of an air bearing provided at a position facing the sliding surface of the X guide 18 is omitted.

The Z carriage 22 is supported by the X carriage 20 so as to be movable along the Z axis direction. The X carriage 20 is equipped with an air bearing that guides the Z carriage 22 in the Z-axis direction. Illustration of an air bearing that guides the Z carriage 22 in the Z-axis direction is omitted.

A probe head 24 is attached to the lower end of the Z carriage 22 . The probe head 24 includes probes 24A. The probe 24A has a slice 24B and a contact 24C. The probe head 24 can apply a five-axis simultaneous control probe head equipped with a stepless positioning mechanism capable of steplessly positioning the probe 24A.

The three-dimensional measuring machine 10 includes an X drive section, a Y drive section, and a Z drive section. The X drive unit moves the X carriage 20 along the X axis direction. The Y driving section moves the portal frame 26 along the Y-axis direction. The Z drive section moves the Z carriage 22 along the Z-axis direction.

The three-dimensional measuring machine 10 appropriately operates the X drive section, the Y drive section, and the Z drive section to move the probe head 24 to an arbitrary position in the mutually orthogonal X-axis direction, Y-axis direction, and Z-axis direction. obtain. Note that the illustration of the X drive unit, the Y drive unit, and the Z drive unit is omitted in FIG. The X, Y and Z drives are illustrated in FIG. 2 as drive 28 .

The three-dimensional measuring machine 10 includes a first rotary drive section that rotates the probe 24A around the first rotary axis and a second rotary drive section that rotates the probe 24A around a second rotary axis perpendicular to the first rotary axis. Prepare. The first rotary drive section and the second rotary drive section can arbitrarily rotate the posture of the probe 24A. In addition, in FIG. 1, the illustration of the first rotation driving section and the second rotation driving section is omitted. The first rotary drive and the second rotary drive are illustrated in FIG. 2 as drive 28 .

The X guide 18 is provided with a linear scale for position detection in the X-axis direction. Also, the X carriage 20 is equipped with an X-axis direction position detection head. The X-axis direction position detection head reads the value of the X-axis direction position detection linear scale and outputs an X-axis direction position detection signal.

The table 14 has a linear scale for position detection in the Y-axis direction on the side surface of the other end in the X-axis direction. Also, the right Y carriage 16R is equipped with a Y-axis direction position detection head. The Y-axis direction position detection head reads the value of the Y-axis direction position detection linear scale and outputs a Y-axis direction position detection signal.

The Z carriage 22 is provided with a linear scale for Z-axis position detection. Also, the X carriage 20 is equipped with a Z-axis direction position detection head. The Z-axis direction position detection head reads the value of the Z-axis direction position detection linear scale and outputs a Z-axis direction position detection signal.

The probe head 24 is equipped with an encoder that detects the rotation angle of the probe 24A. The rotation angle of the probe 24A is the rotation angle θ1 in the first rotation direction when rotating about the first rotation axis parallel to the X-axis direction and the rotation angle θ1 when rotating about the second rotation axis parallel to the Z-axis direction. A rotation angle θ2 in the second rotation direction may be applied.

The probe head 24 includes a contact sensor that detects contact of the probe 24A with the workpiece. The contact sensor outputs a contact detection signal. That is, when the coordinate measuring machine 10 detects contact of the contactor 24C with an arbitrary measurement point on the workpiece, the three-dimensional measuring machine 10 acquires position detection signals in the X-axis direction, the Y-axis direction, and the Z-axis direction. Rotation angle detection signals in the first rotation direction and the second rotation direction can be obtained to derive the coordinate values of the contactor 24C.

The three-dimensional measuring machine 10 has a controller 30 and a computer 40 . The controller 30 transmits control signals to the X drive section, Y drive section, Z drive section, first rotation drive section, and second rotation drive section to control the position and attitude of the probe 24A.

The controller 30 includes a probe operating section such as a joystick. The probe operation section is operated when the probe head 24 is manually operated. Incidentally, the probe operation portion is indicated by reference numeral 32 in FIG.

The controller 30 has a communication interface. The controller 30 is electrically connected to various position detection heads, contact sensors, and the like via a communication interface. The controller 30 acquires various detection signals output by various position detection heads, contact sensors, and the like.

The controller 30 is communicably connected to the computer 40 via a communication interface. A communication protocol between the controller 30 and the computer 40 may apply TCP/IP. Note that TCP is an abbreviation for Transmission Control Protocol. Also, IP is an abbreviation for Internet Protocol.

The controller 30 and computer 40 function as a measurement control device for the coordinate measuring machine 10 . The computer 40 stores software 80 containing commands corresponding to various functions of the three-dimensional measuring machine 10 . The computer 40 implements various functions of the three-dimensional measuring machine 10 by executing various instructions of the software 80 .

The computer 40 functions as a geometric element discrimination device that acquires workpiece parameters as measurement data and performs geometric element discrimination of the workpiece using the acquired workpiece parameters. The details of the geometric element determination will be described later.

The three-dimensional measuring machine 10 has a display device 50 and a computer operation section 52 . The display device 50 displays various information on the three-dimensional measuring machine 10 based on display signals transmitted from the computer 40 .

A computer operation unit 52 includes a keyboard, a mouse, and the like. The computer operation unit 52 transmits signals representing various types of information input by the user to the computer 40 . The computer 40 performs various processes based on signals transmitted from the computer operation section 52 . The display device 50 may adopt a touch panel system and be integrated with the operation unit. It should be noted that the probe head 24 described in the embodiment is an example of the measuring section.

[Electrical Configuration of Coordinate Measuring Machine]
2 is a functional block diagram showing an electrical configuration applied to the three-dimensional measuring machine shown in FIG. 1. FIG. The computer 40 has a drive control section 60 . The drive control unit 60 transmits a command signal to the controller 30 when automatic workpiece measurement is performed.

The controller 30 controls the drive unit 28 based on command signals sent from the computer 40 to operate the carriage 29 and rotate the probe head 24 to perform automatic measurement.

When the workpiece is manually measured, the controller 30 controls the driving section 28 according to the operation of the probe operating section 32 to operate the carriage 29 and rotate the probe head 24 .

The drive section 28 shown in FIG. 2 includes an X drive section, a Y drive section, a Z drive section, a first rotation drive section, and a second rotation drive section. The carriage 29 includes the X carriage 20, the right Y carriage 16R, the left Y carriage 16L and the Z carriage 22 shown in FIG.

The computer 40 has a measurement data acquisition section 62 and a geometric element determination section 64 . The measurement data acquisition unit 62 acquires measurement data of the work from the probe head 24 . The geometric element determination unit 64 performs geometric element determination using the measurement data acquired by applying the measurement data acquisition unit 62 as a parameter.

The computer 40 has an input information acquisition section 66 . The input information acquisition section 66 acquires a signal representing input information transmitted from the computer operation section 52 . The computer 40 performs various controls based on input information.

The computer 40 has a display control section 68 . The display control unit 68 transmits display signals to the display device 50 . The display device 50 displays various information on the three-dimensional measuring machine 10 based on display signals transmitted from the display control section 68 . Note that the display device 50 and the display control unit 68 described in the embodiment are examples of components of the display unit.

Various control units such as the drive control unit 60 are configured using a processor such as a CPU (Central Processing Unit). One processor may be applied to various control units, or a plurality of processors may be applied. Moreover, a plurality of control units may be configured by applying one processor. The multiple processors may be of the same type or of different types.

A computer 40 and a memory 81 are provided. Memory 81 comprises program memory 82 , parameter memory 84 and data memory 86 . The program memory 82 stores various programs corresponding to various functions of the coordinate measuring machine 10 . Various programs correspond to the software 80 shown in FIG.

The parameter memory 84 stores various control parameters used when executing various programs. The data memory 86 stores various data applied to the three-dimensional measuring machine 10 .

[Configuration example of geometric element discriminating unit]
FIG. 3 is a functional block diagram of the geometric element discriminating section shown in FIG. The geometric element discrimination section 64 has a discrimination method selection section 90 . The discrimination method selection unit 90 selects two or more discrimination methods from a plurality of discrimination methods applied to geometric element discrimination. Note that the discrimination method selection unit 90 described in the embodiment is an example of a discrimination method setting unit that sets two or more discrimination methods.

The geometric element determination unit 64 has a determination processing unit 92 . The discrimination processing unit 92 applies the discrimination method selected using the discrimination method selection unit 90, performs geometric element discrimination using the measurement data acquired by applying the measurement data acquisition unit 62 shown in FIG. Derive geometric element candidates for each method.

The determination processing unit 92 calculates a reliability point for each geometric element candidate based on the reliability for each determination method. The determination processing unit 92 determines the geometric element candidate with the highest reliability point as the first candidate, and derives the determination result. In addition, the determination processing unit 92 derives the geometric element candidates after the second candidate in descending order of reliability points.

That is, the discrimination processing unit 92 includes a geometric element candidate derivation unit that derives a geometric element candidate for each discrimination method, and a discrimination result derivation unit that derives a geometric element candidate as a discrimination result from among the geometric element candidates based on the reliability points. Prepare.

The geometric element determination unit 64 causes the display device 50 shown in FIG. 1 and the like to display the determination result. That is, the geometric element determination unit 64 displays the first geometric element candidate as the determination result. The geometric element determination unit 64 may display the second and subsequent geometric element candidates as the determination result.

The geometric element determination section 64 includes a user input information acquisition section 94 . The user input information acquisition unit 94 acquires a signal representing user input information input using the computer operation unit 52 shown in FIG. 1 and the like. For example, the user input information acquisition unit 94 outputs a signal indicating that the user will select the first geometric element candidate and a signal indicating that the user will not select the first geometric element candidate and change the determination result. get. The input information acquisition unit 66 shown in FIG. 2 can be applied to the user input information acquisition unit 94 .

The geometric element determination section 64 includes a geometric element calculation section 95 . A geometric element calculator 95 calculates the parameters of the geometric elements. The geometric element determination unit 64 causes the display device 50 to display the calculation results of the geometric elements. For example, if the geometric element is a sphere, the geometric element calculation unit 95 can calculate and display the radius of the sphere as a parameter.

The geometric element determining section 64 includes a geometric element changing section 96 . The geometric element change unit 96 changes the discrimination result from the first candidate geometric element candidate to another geometric element candidate when the input information for changing the discrimination result is acquired via the user input information acquisition unit 94. do. The details of the determination result change will be described later. Note that the geometric element changing unit 96 described in the embodiment is an example of a determination result changing unit.

The geometric element determination section 64 has a maintenance section 97 . The maintenance unit 97 performs maintenance of the discrimination method. The maintenance unit 97 updates the reliability for each discrimination method based on the discrimination result.

The geometric element discrimination section 64 includes a discrimination method storage section 98 . The determination method storage unit 98 stores determination methods to be selected by the determination method selection unit 90 . The discrimination method storage unit 98 stores a plurality of discrimination methods. Further, the determination method storage unit 98 stores the reliability of each determination method in association with the determination method. The memory 81 shown in FIG. 2 can be applied to the discrimination method storage unit 98 .

[Procedure of Geometric Element Discrimination Method]
FIG. 4 is a flow chart showing the procedure of the geometric element discrimination method according to the embodiment. In the pre-measurement process step S10, the computer 40 shown in FIG. 1 etc. performs various processes before measurement of the workpiece. Probe calibration processing and the like are given as examples of various types of processing performed before measurement. After the pre-measurement processing step S10, the process proceeds to the discrimination method selection step S12.

In the discrimination method selection step S12, the discrimination method selection unit 90 shown in FIG. 3 selects two or more discrimination methods from a plurality of discrimination methods stored in the discrimination method storage unit 98. After the determination method selection step S12, the process proceeds to the measurement data acquisition step S14.

Note that the determination method selection step S12 described in the embodiment is an example of the determination method setting step. Also, the function corresponding to the discrimination method selection step S12 described in the embodiment is an example of the discrimination method setting function.

In the measurement data acquisition step S<b>14 , the geometric element determination unit 64 acquires measurement data of the workpiece obtained by applying the measurement data acquisition unit 62 . After the measurement data acquisition step S14, the process proceeds to the discrimination processing step S16. Note that the function corresponding to the measurement data acquisition step S14 described in the embodiment is an example of the measurement data acquisition function.

In the discrimination processing step S16, the discrimination processing unit 92 uses the measurement data acquired in the measurement data acquisition step S14 to apply each of the two or more discrimination methods selected in the discrimination method selection step S12, for each discrimination method Derive geometric element candidates for

In the discrimination processing step S16, the discrimination processing unit 92 derives a reliability point for each geometric element candidate based on the reliability defined for each discrimination method, and selects the geometric element candidate with the highest reliability point as the first candidate. derived as

Furthermore, in the determination processing step S16, the determination processing unit 92 derives the geometric element candidates after the second candidate in descending order of reliability points. After the determination processing step S16, the process proceeds to the determination result display step S18.

Note that the determination processing step S16 described in the embodiment is an example of a geometric element candidate derivation step and an example of a determination result derivation step. A function corresponding to the determination processing step S16 described in the embodiment is an example of a geometric element candidate derivation function and an example of a determination result derivation function.

In the determination result display step S18, the geometric element determination unit 64 causes the display device 50 to display the determination result. The determination result displayed on the display device 50 includes at least the first candidate geometric element candidate. After the determination result display step S18, the process proceeds to the determination determination step S20.

In the determination determination step S20, the determination processing unit 92 determines whether or not the geometric element candidate of the first candidate displayed on the display device 50 is to be determined as the determination result. That is, if the user input information acquiring unit 94 acquires a signal indicating that the geometric element candidate of the first candidate is to be changed without being finalized in the confirmation determination step S20, the determination is No. In the case of No determination, the process proceeds to the geometric element selection step S22.

In the geometric element selection step S<b>22 , the determination processing unit 92 acquires selection information of geometric element candidates via the user input information acquisition unit 94 . After the geometric element selection step S22, the process proceeds to the display change step S24.

In the display change step S24, the determination processing unit 92 causes the display device 50 to display the geometric element candidates selected in the geometric element selection step S22. After the display change step S24, the process proceeds to the decision determination step S20. Thereafter, each step from the confirmation judgment step S20 to the display change step S24 is repeatedly executed until the judgment is Yes in the confirmation judgment step S20.

On the other hand, in the determination determination step S20, if the user input information acquisition unit 94 acquires a signal indicating that the geometric element candidate of the first candidate is to be determined as the determination result, the determination is Yes. In the case of Yes determination, the determination processing unit 92 determines the first candidate geometric element candidate as the determination result, and proceeds to the geometric element calculation step S26.

In the geometric element calculation step S26, the geometric element calculator 95 calculates parameters of the determined geometric elements. For example, when the geometric element is a sphere, the radius of the sphere and the like are calculated as parameters of the geometric element. After the geometric element calculation step S26, the process proceeds to the geometric element calculation result display step S28.

In the geometric element calculation result display step S28, the geometric element determination unit 64 causes the display device 50 to display the calculation result of the geometric element. After the geometric element calculation result display step S28, the computer 40 terminates the geometric element determination method.

[Detailed description of the geometric element discrimination function]
FIG. 5 is an explanatory diagram of a geometrical element discrimination function applied to the three-dimensional measuring machine shown in FIG. The geometric element discrimination function applied to the three-dimensional measuring machine 10 automatically discriminates geometric elements by applying a plurality of discrimination methods such as a calibration method and a learning method in addition to the standard method.

Each discrimination method is individually configured as a plug-in. The three-dimensional measuring machine 10 is configured to allow addition and deletion of determination methods. FIG. 5 illustrates a calibration A method and a calibration B method as calibration methods. Moreover, as a learning method, a learning A method and a learning B method are exemplified.

Reliability is defined for the determination method. The reliability of the discrimination method is a numerical value that quantitatively expresses how reliable the discrimination result is. Of the plurality of discrimination methods shown in FIG. 5, the calibration B method with a reliability value of 70 has the highest reliability, and the learning A method with a reliability value of 5 has the lowest reliability.

The geometric element determination function acquires the number of probing points, the coordinate values of the probing points, and the probing direction as input information. The input information shown in FIG. 5 is included in the measurement data acquired by applying the measurement data acquisition section 62 shown in FIG.

The discriminant scheme uses input information to derive geometric elements. In the example shown in FIG. 5, the standard method derives a circle as a geometric element candidate, the calibration A method derives a plane as a geometric element candidate, and the calibration B method derives a cylinder as a geometric element candidate. The learning A method derives a sphere as a geometric element candidate, and the learning B method derives a circle as a geometric element candidate.

The geometric element determination function calculates a reliability point by summing the reliability of each geometric element candidate. In the example shown in FIG. 5, when the geometric element candidate is a circle, 110 is calculated as a reliability point by adding 50, which is the reliability value of the standard method, and 60, which is the reliability value of the learning B method. be done.

When a plurality of geometric element candidates are derived, the geometric element determination function defines the geometric element candidate with the highest reliability point as the first candidate, and defines the geometric element candidates after the second candidate in descending order of reliability points. . The geometric element determination function derives the first candidate geometric element candidate as a determination result.

In the example shown in FIG. 5, the first candidate is a circle with 110 confidence points and the second candidate is a cylinder with 70 confidence points. The third candidate is a plane with 20 reliability points, and the fourth candidate is a sphere with 5 reliability points. A circle is derived as a determination result.

[Specific example of discrimination method]
[Standard method]
FIG. 6 is a flow chart showing the procedure of the standard system shown in FIG. In the dimension discrimination step S100, a dimension discrimination threshold is applied and the dimensions of the geometric elements are discriminated using the probing score and the coordinates of the probing points. The dimension of a geometric element can be either 0, 1, 2 or 3.

If the dimension of the geometric element is 0, a point is derived as the geometric element candidate 110 . Further, when the dimension of the geometric element is one-dimensional, the one-dimensional element discrimination step S101 is performed. In the one-dimensional element discrimination step S101, a threshold for one-dimensional element discrimination is applied, and the probing direction and probing score are used to determine whether the geometric element candidate is a straight line or a midpoint. That is, in the one-dimensional element discrimination step S101, a straight line is derived as the geometric element candidate 112 or a midpoint is derived as the geometric element candidate 113. FIG.

When the dimension of the geometric element is two-dimensional, a two-dimensional element discrimination step S102 is performed. In the two-dimensional element discrimination step S102, a threshold for two-dimensional element discrimination is applied, and the probing direction is used to determine whether the geometric element candidate is a plane or a circle. That is, in the two-dimensional element determination step S102, a plane is derived as the geometric element candidate 114 or a circle is derived as the geometric element candidate 116. FIG.

In the two-dimensional element discrimination step S102, n is an integer and a normal vector N of the plane calculated from the probing point group of n points is calculated. The normal vector N can be calculated using known techniques that perform plane calculations using probing points. In this specification, arrow lines and the like representing vectors are omitted.

Applying Equation 1 below, the average a of the inner product of the normal vector N and each _probing vector pi is calculated.

a=(1/n)×ΣN _i=1 (p _i × ^N ) Equation 1
A plane is derived as a geometric element candidate 114 when the average a of the inner products calculated using Equation 1 exceeds a threshold. On the other hand, if the average a of the inner products is equal to or less than the threshold, a circle is derived as the geometric element candidate 116 .

When the dimension of the geometric element is three-dimensional, a three-dimensional element determination step S104 is performed. In the three-dimensional element discrimination step S104, a threshold for three-dimensional element discrimination is applied, and the probing direction and the coordinate values of the probing points are used to determine whether the geometric element candidate is a sphere, a cylinder, or a cone. be done.

That is, in the three-dimensional element determination step S104, a sphere is derived as the geometric element candidate 118, a cylinder is derived as the geometric element candidate 120, or a cone is derived as the geometric element candidate 122.

Note that the standard method described in the embodiment is an example of the first discrimination method. The threshold applied to the dimension discrimination step S100 described in the embodiment is an example of the first dimension discrimination threshold. The threshold applied to the two-dimensional element discrimination step S102 and the three-dimensional element discrimination step S104 described in the embodiment is an example of the first element discrimination threshold.

[Calibration A method]
FIG. 7 is a flow chart showing the procedure of the calibration A method shown in FIG. The calibration A method is a method in which the threshold applied to dimension discrimination and the threshold applied to element discrimination in the standard method are changed according to the user. The calibration A method is a method of statically setting an arbitrary threshold value.

In the threshold setting step S120, a threshold applied to the calibration A method is set. The setting of the threshold herein may include a mode of changing the already set threshold. After various thresholds applied to the calibration A method are set, the process proceeds to the dimension determination step S122.

A user information obtaining step of obtaining user information may be performed before the threshold setting step S120 is performed. In the threshold setting step S120, a threshold for each user may be set according to user information.

In the dimension discrimination step S122, a dimension discrimination threshold is applied and the dimension of the geometric element is discriminated using the probing score and the coordinates of the probing points. If the dimension of the geometric element is 0, a point is derived as the geometric element candidate 110 .

When the dimension of the geometric element is one-dimensional, a one-dimensional element discrimination step S124 is performed. In the one-dimensional element discrimination step S124, a threshold for one-dimensional element discrimination is applied, and the probing direction and probing score are used to determine whether the geometric element candidate is a straight line or a midpoint. That is, in the one-dimensional element determination step S124, a straight line is derived as the geometric element candidate 112 or a midpoint is derived as the geometric element candidate 113. FIG.

When the dimension of the geometric element is two-dimensional, a two-dimensional element discrimination step S126 is performed. In the two-dimensional element discrimination step S126, a threshold for two-dimensional element discrimination is applied and the probing direction is used to determine whether the geometric element candidate is a plane or a circle. That is, in the two-dimensional element determination step S126, a plane is derived as the geometric element candidate 114 or a circle is derived as the geometric element candidate 116. FIG.

When the dimension of the geometric element is three-dimensional, a three-dimensional element determination step S128 is performed. In the three-dimensional element discrimination step S128, a three-dimensional element discrimination threshold is applied, and the probing direction and the coordinate values of the probing points are used to discriminate whether the geometric element is a sphere, a cylinder, or a cone. .

That is, in the three-dimensional element determination step S128, a sphere is derived as the geometric element candidate 118, a cylinder is derived as the geometric element candidate 120, or a cone is derived as the geometric element candidate 122.

[Calibration B method]
The calibration B method is a method in which a user's operation is learned and a threshold applied to dimension discrimination or the like is dynamically set. The learning of the user's operation is triggered by the change of the discrimination result by the user, and a new threshold value is set for the conditional expression that causes the discrepancy between the geometric element candidate as the discrimination result and the geometric element candidate selected by the user. is derived and a new threshold is reset.

As the threshold to be reset, a threshold that can be used to calculate the geometric element candidate selected by the user and an average of the thresholds that have been reset so far are adopted. Specifically, let t a be the threshold for calculating the geometric element candidate selected by the user, let t _b be the already set threshold, and let t _b be the threshold that has been set, and let the number of calibrations, which is the number of times the user has changed the discrimination result, be the number of calibrations. c. The new threshold t _c is expressed using Equation 2 below.

t _c = {(t _a −t _b )/(c+2)}+t _b … Formula 2
For example, let t _b =30 be the threshold t _b that has already been set, and t _a =50 be the threshold t _a that can be used to calculate the geometric element candidate selected by the user. If the user does not correct the determination result, the new threshold t _c is t _c ={(50−30)/(0+2)}+30=40. Also, when the user has corrected the determination result twice, the new threshold t _c is t _c ={(50−30)/(2+2)}+30=35.

Here, the new threshold _tc includes a threshold applied to dimension discrimination and a threshold applied to element discrimination of each dimension. That is, each of the threshold applied to the dimension discrimination and the threshold applied to the element discrimination of each dimension is updated as appropriate by applying Equation 2 above.

A specific example of calculation of the new threshold tc is _shown below. Let the normal vector N be N=(0, 0, −1) and the number of probing points n be n=3.

Let probing vector p ₁ be p ₁ = (0.7071, 0.0000, −0.7071), probing vector p ₂ be p ₂ = (0.0000, 0.7071, −0.7071), and probing vector Let p ₃ be p ₃ =(-0.7071, 0.0000, -0.7071). Each component in probing vector p ₁ , probing vector p ₂ and probing vector p ₃ corresponds to the coordinate value of the probing point.

The already set threshold t ₀ is set to t ₀ =0.5, and the number of times of calibration c is set to c=0. When the average a of the inner products of the normal vector N and each probing vector pi is calculated using the above equation 1, a= _0.7071 . Comparing the already set threshold t ₀ =0.5 with the average a of the inner products satisfies a>t ₀ , so a plane is derived as a geometric element candidate.

When a plane is derived as a discrimination result and the user selects a circle without adopting the plane of the discrimination result, a new threshold _tc is calculated using Equation 2 above. That is, the new threshold t _c is t _c ={(0.7010−0.5)/(0+2)}+0.5=0.6036.

On the other hand, when the user selects the circle of the determination result without changing, the new threshold t _c is not calculated, and the already set threshold t ₀ =0.5 is maintained.

In the next probing, the probing vector p ₁ , probing vector p ₂ and probing _vector p ₃ described above are obtained. Calculated. The new threshold t _c is t _c ={(0
. 7010−0.6036)/(1+2)}+0.6036=0.6381.

In this way, the threshold changes to 0.5, 0.6036, and 0.6381 as the measurement progresses. As a result, it becomes possible to gradually perform geometric element discrimination that provides the results expected by the user.

If the update of the threshold is repeated, there is a concern that the value of the number of times of calibration c will become too large, and the range of the threshold that can be changed in one calibration will be reduced. Therefore, the upper limit of the number of times of calibration c is set. With this, even when the number of calibration times c overlaps, the threshold calibration can function.

When the user changes the discrimination result to a geometric shape with a different dimension, such as when the user changes a sphere to a circle, the threshold applied to the dimensional discrimination is modified. Also, when the user changes the result of discrimination to a geometric shape of the same dimension, such as changing a cone to a cylinder, the threshold applied to the element discrimination of each dimension is modified.

Note that the calibration A method and the calibration B method described in the embodiment are examples of the second determination method. The threshold applied to the dimension discrimination step S122 described in the embodiment is an example of the second dimension discrimination threshold. The threshold applied to the one-dimensional element discrimination step S124, the two-dimensional element discrimination step S126, and the three-dimensional element discrimination step S128 described in the embodiment is an example of the second element discrimination threshold.

[Learning method A]
The learning A method is a method of deriving geometric element candidates by applying a trained model obtained by learning the results of actual measurements by the user. The learning method A can apply a trained model that has undergone supervised learning, in which geometric element candidates determined as discrimination results are used as correct data, and sets of measurement data from which correct data is obtained and correct data are used as learning data. .

[Learning method B]
The learning B method is a method of deriving geometric element candidates by applying a trained model to which an algorithm different from that of the learning A method is applied. Note that the learning A method and the learning B method described in the embodiment are examples of the third discrimination method.

[Description of screen transition and process transition in geometric element discrimination]
FIG. 8 is an explanatory diagram of an initial screen applied to geometric element discrimination. An initial screen 200 shown in FIG. 8 is displayed before workpiece measurement. Various screens such as the initial screen 200 shown in FIG. 8 are displayed on the display device 50 shown in FIG. 1 and the like.

The initial screen 200 includes a menu area 202 , a character information display area 204 , a measurement condition display area 206 and a measurement data display area 208 . Menu area 202 includes a plurality of buttons 210 to which various functions are assigned. Note that reference numeral 210 represents arbitrary buttons included in the menu area 202 .

Various types of character information are displayed in the character information display area 204 . FIG. 8 displays first character information 220 prompting the calibration of the reference probe, second character information 222 indicating whether geometric element discrimination is enabled or disabled, and third character information 224 indicating the probing point score.

The initial screen 200 shown in FIG. 8 displays AUTO as second character information 222, which is character information indicating the effectiveness of geometric element discrimination, and a numerical value 0, which indicates that probing point information has not been obtained, as third character information 224. is displayed.

Various measurement conditions are displayed in the measurement condition display area 206 . A measurement data display area 208 displays coordinate values representing the current position of the contactor 24C. FIG. 8 illustrates an example in which the work coordinate system is applied. Note that the coordinate values shown in FIG. 8 are arbitrary values.

FIG. 9 is an explanatory diagram of the screen when the first probing point is probed. A first probing point measurement screen 230 shown in the figure displays a point representing the first candidate geometric element candidate as the second character information 222 displayed in the character information display area 204 . Also, the first probing point measurement screen 230 displays a numerical value 1 representing that the number of probing points is 1 as the third character information 224 .

FIG. 10 is an explanatory diagram of determination processing when the first probing point is probed. Table 232 shows reliability and geometric element candidates for each discrimination method. Table 234 shows geometric element candidates and confidence points.

If the probing point score is 1, all discrimination schemes derive the point as a geometric element candidate. The geometric element candidates are only the first candidate points. The determination processing unit 92 shown in FIG. 3 can perform determination processing each time information on a probing point is acquired.

FIG. 11 is an explanatory diagram of the screen when the second probing point is probed. A second probing point measurement screen 240 shown in the figure displays a straight line representing the first candidate geometric element candidate as the second character information 222 displayed in the character information display area 204 . Also, the second probing point measurement screen 240 displays a numerical value 2 representing that the number of probing points is 2 as the third character information 224 .

In the second probing point measurement screen 240, the second candidate selection button 210A displayed in the menu area 202 displays the middle point of the second candidate, and the third candidate selection button 210B displays the third candidate point. Although the fourth candidate selection button 210C can display the fourth candidate geometric element candidate, since the fourth candidate geometric element candidate has not been derived, the fourth candidate selection button 210C does not display the geometric element candidate. It is said that

FIG. 12 is an explanatory diagram of the determination processing when the second probing point is probed. Table 242 shows reliability and geometric element candidates for each discrimination method. Table 244 shows geometric element candidates and confidence points.

When the number of probing points is 2, the standard method, the calibration A method, and the learning B method derive a straight line as a geometric element, the calibration B method derives a midpoint as a geometric element, and the learning A method derives a geometric element Derive a point.

When the number of probing points is 2, geometric element candidates from the first candidate to the third candidate are derived. The straight line with the highest reliability point is set as the first candidate, the second candidate is set as the middle point, and the third candidate is set as the point in descending order of reliability points.

FIG. 13 is an explanatory diagram of the screen when the third probing point is probed. A third probing point measurement screen 250 shown in the figure displays a circle representing the first candidate geometric element candidate as the second character information 222 displayed in the character information display area 204 . Also, the third probing point measurement screen 250 displays the numerical value 3 representing that the number of probing points is 3 as the third character information 224 .

On the third probing point measurement screen 250, the second candidate selection button 210A displays the second candidate plane, and the third candidate selection button 210B displays the third candidate straight line. On the other hand, the fourth candidate selection button 210C does not display geometric element candidates.

FIG. 14 is an explanatory diagram of determination processing when the third probing point is probed. Table 252 shows reliability and geometric element candidates for each discrimination method. Table 254 shows geometric element candidates and confidence points.

When the number of probing points is 3, the standard method, the calibration B method, and the learning B method derive a circle as a geometric element candidate, the calibration A method derives a plane as a geometric element candidate, and the learning A method derives a geometric element. Derive a straight line as a candidate.

When the number of probing points is 3, geometric element candidates from the first candidate to the third candidate are derived. The circle with the highest reliability point is the first candidate, the second candidate is the plane in descending order of reliability points, and the third candidate is the straight line.

FIG. 15 is an explanatory diagram of the screen when the sixth probing point is probed. A sixth probing point measurement screen 260 shown in the figure displays a cone representing the first candidate geometric element candidate as the second character information 222 displayed in the character information display area 204 . Further, the sixth probing point measurement screen 260 displays the numerical value 6 representing that the number of probing points is 6 as the third character information 224 .

In the sixth probing point measurement screen 260, the second candidate selection button 210A displayed in the menu area 202 displays the second candidate sphere, the third candidate selection button 210B displays the third candidate cylinder, and the fourth candidate selection button 210B displays the third candidate cylinder. Candidate selection button 210C displays a circle of the fourth candidate.

When the probing score is 6, the fifth candidate geometric element is derived as shown in FIG. The sixth probing point measurement screen 260 shown in FIG. 15 does not have a button for displaying the fifth candidate geometric element, but the sixth probing point measurement screen 260 has a button for displaying the fifth candidate geometric element. may be set.

FIG. 16 is an explanatory diagram of the determination processing when the sixth probing point is probed. Table 262 shows discrimination results for each discrimination method. Table 264 shows geometric element candidates and confidence points.

When the number of probing points is 6, the standard method derives a sphere as a geometric element candidate, the calibration A method derives a cylinder as a geometric element candidate, and the calibration B method derives a cone as a geometric element candidate. The learning A method derives a circle as a geometric element candidate, and the learning B method derives a plane as a geometric element candidate.

When the number of probing points is 6, geometric element candidates from the first candidate to the fifth candidate are derived. The first candidate is the cone with the highest confidence points, the second candidate is the sphere, the third candidate is the cylinder, the fourth candidate is the circle, and the fifth candidate is the plane. be done.

[Change determination result]
FIG. 17 is an explanatory diagram of changing the determination result. In the figure, the geometric element change button 210D on the sixth probing point measurement screen 260 shown in FIG. 15 is highlighted. In addition, illustration of the code|symbol 210D is abbreviate|omitted in FIG.

The geometric element determination function allows the user to manually change the geometric element derived as the determination result. When changing the first candidate geometric element derived as a determination result from the second candidate to a geometric element not listed as the fourth candidate, the geometric element change button 210D shown in FIG. 17 is selected. Button selection may be performed by the user clicking a button using a mouse or the like, by touching the button by the user, or the like.

FIG. 18 is an explanatory diagram of geometric element selection. A geometric element selection screen 270 shown in the figure is displayed on the display device 50 shown in FIG. 1 and the like when the geometric element change button 210D shown in FIG. 17 is selected.

A plurality of geometric element selection buttons 272 are displayed on the geometric element selection screen 270 shown in FIG. The geometric element selection buttons 272 include buttons corresponding to the spheres, cylinders, and circles listed as the second and subsequent geometric element candidates on the sixth probing point measurement screen 260 shown in FIG.

Also, the geometric element selection buttons 272 include buttons corresponding to points, straight lines, partial circles, planes, cones, and midpoints that are not listed as geometric element candidates after the second candidate. Note that the geometric element selection buttons 272 shown in FIG. 18 are not limited to the illustrated example, and can be added, deleted, changed, and the like.

The user selects one button from the geometric element selection buttons 272 and selects the OK button 274 . The figure shows a case where the user selects a sphere. The user input information acquisition unit 94 shown in FIG. 3 acquires the selection information of the geometric element candidates, and the geometric element change unit 96 determines the changed geometric element candidates based on the selection information of the geometric element candidates. When the user selects the cancel button 276, the selection of the geometric element selection button 272 is cancelled, and selection of a geometric element candidate is awaited.

Further, when any one of the second candidate selection button 210A, the third candidate selection button 210B, and the fourth candidate selection button 210C shown in FIG. 17 is selected, the first candidate geometric element candidate derived as the determination result is It is changed to the geometric element candidate corresponding to the selected button.

That is, the user input information acquisition unit 94 shown in FIG. 3 acquires the selection information of the geometric element candidate corresponding to any one of the selected second candidate selection button 210A, third candidate selection button 210B, and fourth candidate selection button 210C. get. The geometric element changing unit 96 determines the changed geometric element candidate based on the selection information of the geometric element candidate acquired through the user input information acquiring unit 94 .

FIG. 19 is an explanatory diagram of the screen when the second candidate is changed to one of the geometric element candidates listed as the fourth candidate. FIG. 20 is an explanatory diagram of processing when a geometric element candidate is changed. In contrast to the sixth probing point measurement screen 260 shown in FIG. 15, the geometric element change support screen 280 shown in FIG. 19 has the second character information 222 changed to a sphere and the second candidate selection button 210A changed to a cone. .

A table 264A shown in FIG. 20 is obtained by processing the table 262 shown in FIG. 16 in the geometric element determination unit 64 shown in FIG. Schematically represents a change to a certain sphere.

[Geometric element calculation]
FIG. 21 is an explanatory diagram of a screen when geometric element calculation is performed. In FIG. 21, the terminate button 210E on the geometric element change support screen 280 shown in FIG. 19 is highlighted. In addition, illustration of the code|symbol 210E is abbreviate|omitted in FIG.

When the terminate button 210E on the geometric element change support screen 280 is selected, the determination processing unit 92 shown in FIG. 3 determines the geometric element candidate displayed in the second character information 222 as the determination result. A geometric element calculation unit 95 performs geometric element calculation on the determined geometric element of the determination result. Note that even if the determination result is not corrected, the Terminate button 210E is selected to confirm the determination result and perform the geometric element calculation.

FIG. 22 is an explanatory diagram showing a display example of geometric element calculation results. In the geometric element calculation result display area 212 of the calculation result display screen 290 shown in the figure, the fourth character information 292 representing the geometric element to be calculated and the calculation result 294 are displayed.

FIG. 22 illustrates the calculation results 294 to which the tabular format is applied. As a calculation result 294, an actual measurement value for each tolerance label is calculated. It should be noted that the tolerance labels shown in FIG. 22 are an example, and may be added, deleted, or changed according to the geometric elements. Moreover, the measured values shown in FIG. 22 are arbitrary values.

[Discrimination method maintenance]
When the discrimination result automatically derived from the measurement data is changed according to the user's input, the maintenance unit 97 shown in FIG. 3 performs discrimination-based maintenance. That is, the maintenance unit 97 changes the reliability of each discrimination method according to the change of the discrimination result as the maintenance of the discrimination method.

FIG. 23 is an explanatory diagram of an example of changing reliability. FIG. 23 schematically shows an example in which the reliability shown in table 262 shown in FIG. 16 is changed to the reliability shown in table 262A. For example, if the first candidate geometric element candidate cone is changed to a sphere, the reliability of the standard method from which the sphere was derived is increased by one point. On the other hand, the reliability of the calibration A method, the calibration B method, the learning A method, and the learning B, which derived geometric element candidates that are not spheres, is decreased by 1 point.

FIG. 24 is an explanatory diagram of another example of changing reliability. FIG. 24 schematically shows an example in which the reliability shown in table 262 shown in FIG. 16 is changed to the reliability shown in table 262B. For example, if the cone, which is the geometric element candidate of the first candidate, is changed to a cylinder, the reliability of the calibration A method that derived the cylinder is increased by 1 point. On the other hand, the reliability of the standard method, the calibration B method, the learning A method, and the learning B, which derived non-cylindrical geometric element candidates, is reduced by 1 point. Note that the maintenance unit 97 described in the embodiment is an example of a reliability change unit.

FIG. 25 is an explanatory diagram of the maintenance screen. The maintenance section 97 shown in FIG. 3 displays a maintenance screen 300 shown in FIG. 25 on the display device 50 shown in FIG. 1 and the like. The maintenance screen 300 can notify the user of the status of the discrimination method.

The maintenance screen 300 includes a discrimination method list 302 . The discrimination method list 302 includes various information for each discrimination method. FIG. 25 illustrates a discrimination method list 302 to which a tabular format is applied. A discrimination method list 302 shown in the figure includes identification number, status, file name, reliability, and memo as various information for each discrimination method.

A state switching button 304 is displayed on the maintenance screen 300 . The state switching button 304 is operated when enabling or disabling each determination method. For example, when the state switching button 304 is operated while the standard method shown in FIG. 25 is selected, the valid standard method is disabled.

A memo button 306 is displayed on the maintenance screen 300 . A memo button 306 is operated when editing a memo field. For example, when the memo button 306 is operated in a state where the standard method shown in FIG. 25 is selected, editing of the standard method memo field is enabled.

The maintenance screen 300 displays an add button 308 and a delete button 310 . An add button 308 is operated when adding a discrimination method. A delete button 310 is operated when deleting a determination method.

The three-dimensional measuring machine 10 needs to have one or more effective discrimination methods. Therefore, when there is only one effective determination method, the operation of the state switching button 304 and the delete button 310 is disabled.

A close button 312 is displayed on the maintenance screen 300 . When the close button 312 is operated, the maintenance screen 300 is closed.

[Functions and Effects of Three-Dimensional Measuring Machine and Geometric Element Discrimination Method According to Embodiment]
According to the three-dimensional measuring machine 10 and the geometric element discrimination method configured as described above, it is possible to obtain the following effects.

[1]
In geometric element discrimination, two or more discrimination methods are selected from a plurality of discrimination methods, geometric element candidates are derived for each discrimination method, and reliability points based on the reliability defined for each discrimination method are calculated for each geometric element candidate. , and the geometric element candidate with the maximum reliability point is derived as the discrimination result. As a result, the reliability of the discrimination result in the geometric element discrimination is improved, and the correction of the discrimination result due to the erroneous discrimination of the discrimination result can be avoided.

[2]
A user can change the determination result. As a result, erroneous discrimination can be avoided, and the reliability of discrimination results can be further improved.

[3]
When the user changes the determination result, geometric element candidates that are candidates for change are displayed on the display device 50 . Thereby, the user can select the post-change geometric element candidate from among the geometric element candidates displayed on the display device 50 .

[4]
The reliability of each discrimination method is changed according to the change of the user's discrimination result. This can improve the reliability of geometric element candidates derived for each discrimination method.

[5]
Each discrimination method is configured as a plug-in. As a result, maintenance such as addition, deletion, and change of determination methods can be performed.

[6]
Discrimination methods include a standard method, a calibration method in which a threshold value is set according to the user, and a learning method in which a trained model that has undergone learning using a set of discrimination results and measurement data as learning data is applied. With this, it is possible to derive geometric element candidates that do not depend on variations in measurement data caused by the user's proficiency, user habits, and the like.

[7]
In the calibration method, the threshold is changed according to the discrimination result. This makes it possible to customize the calibration method according to the user's proficiency level, user's habits, and the like.

In the embodiments of the present invention described above, it is possible to appropriately change, add, or delete constituent elements without departing from the gist of the present invention. The present invention is not limited to the embodiments described above, and many modifications are possible within the technical concept of the present invention by those skilled in the art.

DESCRIPTION OF SYMBOLS 10... Three-dimensional measuring machine, 40... Computer, 50... Display device, 62... Measurement data acquisition part, 64... Geometric element discrimination part, 68... Display control part, 80... Software, 81... Memory, 90... Discrimination method selection part , 92... discrimination processing unit, 94... user input information acquisition unit, 95... geometric element calculation unit, 96... geometric element change unit, 97... maintenance unit

Claims (16)

a measurement data acquisition unit that acquires measurement data of the object to be measured;
a discrimination method setting unit for setting two or more discrimination methods for deriving geometric element candidates of the measurement object using the measurement data, and for setting two or more discrimination methods for which reliability in geometric element discrimination is defined;
a geometric element candidate deriving unit that applies each of two or more discrimination methods and derives the geometric element candidates based on the measurement data for each discrimination method;
a discrimination result deriving unit that derives a reliability point based on the reliability of each discrimination method for each of the geometric element candidates and derives the geometric element candidate with the highest reliability point as a discrimination result;
A geometric element discriminating device. The discrimination result derivation unit sums the reliability of a plurality of discrimination methods that derive the same geometric element candidate, derives the reliability point for each of the geometric element candidates, 2. A geometric element discriminating apparatus according to claim 1, wherein the element candidate is derived as a discrimination result. 3. The geometric element discriminating device according to claim 1, further comprising a discrimination result changing unit that changes the discrimination result derived using the discrimination result deriving unit. The determination result derivation unit derives a plurality of the geometric element candidates, defines the plurality of geometric element candidates as geometric element candidates after the second candidate in order of increasing reliability points,
4. The geometric element discriminating device according to claim 3, wherein the discrimination result changing unit selects a geometric element candidate that becomes the discrimination result after the change from among the geometric element candidates after the second candidate. 5. The geometric element discrimination device according to claim 3, further comprising a display unit for displaying geometric element candidates to be changed when the geometric element candidates are changed. The discrimination method discriminates the dimension of the geometric element by applying the first dimension discrimination threshold, and discriminates the element of the geometric element by applying the first element discrimination threshold to the geometric element whose dimension has been discriminated. 6. The geometric element discriminating device according to any one of claims 1 to 5, wherein the first discriminating method is included. 7. The geometric element discrimination device according to claim 1, wherein the discrimination method includes a second discrimination method in which a threshold applied to geometric element discrimination is set according to the user. The second discrimination method discriminates the dimension of the geometric element by applying a second dimension discrimination threshold set according to the user, and for the geometric element whose dimension is discriminated, the second dimension discrimination threshold set according to the user 8. The geometric element discriminating apparatus according to claim 7, wherein a two-element discriminating threshold is applied to discriminate the element of the geometric element. From claim 1, wherein the discrimination method includes a third discrimination method in which a discrimination result is used as correct data, and a trained model trained using measurement data from which the correct data is obtained and the correct data as learning data is applied. 9. The geometric element discriminating device according to any one of 8. 10. The geometric element discrimination device according to any one of claims 1 to 9, further comprising a maintenance section that performs at least one of addition, deletion, and change of the discrimination method. The geometric element discriminating device according to any one of claims 1 to 10, further comprising a reliability changing unit that changes the reliability for each of the discriminating methods according to the discrimination result. 12. The geometric element discriminating apparatus according to claim 11, further comprising a display unit for displaying various information of geometric element discriminating, and a display unit for displaying a state indicating validity or invalidity of each discriminating method and reliability of each discriminating method. a measurement data acquisition step of acquiring measurement data of the object to be measured;
a determination method setting step of setting two or more determination methods for deriving geometric element candidates of the measurement object using the measurement data, the determination methods defining reliability in geometric element determination;
a geometric element candidate derivation step of applying each of two or more discrimination methods to derive the geometric element candidates based on the measurement data for each discrimination method;
a determination result derivation step of deriving a reliability point based on the reliability of each determination method for each of the geometric element candidates, and deriving the geometric element candidate with the highest reliability point as a determination result;
Geometric element discrimination method including to the computer,
measurement data acquisition function for acquiring measurement data of the object to be measured;
A discrimination method setting function for setting two or more discrimination methods for deriving geometric element candidates of the measurement object using the measurement data, and for which reliability in geometric element discrimination is defined;
a geometric element candidate derivation function for applying each of two or more discrimination methods to derive the geometric element candidate based on the measurement data for each discrimination method; A program for realizing a determination result derivation function of deriving each element candidate and deriving the geometric element candidate with the highest reliability point as a determination result. a measuring unit equipped with a probe for measuring the object to be measured;
a measurement data acquisition unit that acquires measurement data of a measurement object from the probe;
a discrimination method setting unit for setting two or more discrimination methods for deriving geometric element candidates of the measurement object using the measurement data, and for setting two or more discrimination methods for which reliability in geometric element discrimination is defined;
a geometric element candidate deriving unit that applies each of two or more discrimination methods and derives the geometric element candidates based on the measurement data for each discrimination method;
a discrimination result deriving unit that derives a reliability point based on the reliability of each discrimination method for each of the geometric element candidates and derives the geometric element candidate with the highest reliability point as a discrimination result;
3D measuring machine. 16. The three-dimensional measuring machine according to claim 15, further comprising a geometric element calculator that calculates parameters of geometric elements based on the determination result.

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