JP7378310B2 - Shape measurement system, shape measurement method and program - Google Patents

Description

The present disclosure relates to a shape measurement system, a shape measurement method, and a program.

Objects are being measured from various viewpoints. For example, Patent Document 1 discloses that in a product dimension measurement inspection, etc., a computer processes the measured values of the shape of the object to be measured by a shape measuring device to generate an image of a three-dimensional model, and superimposes the image on the master model image of the product. Discloses a method for displaying images in a virtual space. Further, Patent Document 1 further displays an image indicating the tolerance range superimposed on the images of the three-dimensional model and the master model, and displays whether the three-dimensional model and the master model match within the tolerance range. Disclose the method to make it understandable.

Generally, the longer the distance between the object to be measured and the measuring device that measures its shape, the greater the error that occurs in the measured value. However, the method disclosed in Cited Document 1 does not take such matters into consideration. Therefore, according to the method disclosed in Cited Document 1, the results of the dimensional measurement inspection of the product are affected by errors caused by the distance between the object to be measured and the measuring device.

JP2004-009282A

The present disclosure has been made in view of the above-mentioned circumstances, and aims to suppress the influence of errors in measured values caused by the distance between the object to be measured and the measuring device.

In order to achieve the above object, the shape measurement system according to the present disclosure includes a shape data acquisition means, a required accuracy acquisition means, an expected accuracy acquisition means, a comparison means, and a control means. The shape data acquisition means acquires shape data obtained by measuring the shape of the object to be measured. The required accuracy acquisition means determines the required accuracy required for the shape data in accordance with the tolerance set for the object to be measured. The expected precision obtaining means obtains the expected precision of the shape data according to the distance between the object to be measured and the shape measuring device. The comparison means compares the required accuracy and the expected accuracy. The control means performs control to utilize the shape data when the result of the comparison by the comparison means is that the expected accuracy is higher than the required precision, and adds reliability to the shape data based on the result of the comparison by the comparison means. Attach information indicating.

According to the shape measurement system configured as described above, shape data is controlled based on the required accuracy and expected accuracy. Therefore, for example, if the shape of the object to be measured is measured from a remote location and low-accuracy shape data is obtained, controlling the use of this shape data can improve the relationship between the object and the measuring device. The influence of errors caused by distance can be suppressed.

A diagram showing the configuration of a shape measurement system according to the present disclosure Diagram showing the configuration of the measurement processing device shown in FIG. 1 A diagram illustrating the required accuracy RA calculated by the required accuracy calculation unit shown in FIG. 2 in a table format. A diagram illustrating the expected accuracy EA calculated by the expected accuracy calculation unit shown in FIG. 2 in a table format. A diagram showing a specific example of the operation of the shape measurement system shown in Figure 1. Flowchart showing the shape measurement process of the shape measurement system shown in FIG. 1

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of a shape measurement system 1 for measuring the three-dimensional shape of a measurement object according to the present disclosure will be described with reference to the drawings. Hereinafter, the same components are given the same reference numerals.

The shape measurement system 1 of the present embodiment measures the three-dimensional shape of the object to be measured, and among the measured values obtained by measurement, makes it possible to use the measured values that can be expected to have an accuracy higher than the standard, and to This is a three-dimensional shape measurement system that disables or issues a warning on measured values that cannot be expected to be accurate.

The shape measurement system 1 of this embodiment includes a computer 10, as shown in FIG. The computer 10 includes a CPU (Central Processing Unit) 12 that performs control operations and arithmetic processing according to a program, and a volatile storage element such as a RAM (Random Access Memory), and stores various data required for the arithmetic processing. A memory 14, a storage device 16 that includes a non-volatile storage device such as an HDD (Hard Disk Drive) and a non-volatile storage element such as a flash memory, and stores various programs and various data executed by the CPU, and a user It includes a UI (User Interface) device 18 that performs input/output between the devices, and a bus 100 that connects these devices and enables mutual data communication.

A shape measuring system 1 is connected to a bus 100 of a computer 10, and uses a shape measuring device 3 to measure and utilize the three-dimensional shape of an object 4 to be measured, such as an article, a mechanical device, or a mechanical part. The measurement processing device 2 further includes a measurement processing device 2 for performing measurements. The accuracy of the measurement data of the measurement processing device 2 decreases as the distance between the measurement processing device 2 and the object to be measured 4 increases.

The UI device 18 includes a display 180 that displays images such as measurement values, a keyboard 182 and a mouse 184 that accept operation MO by the user, and a printer 186 that hard copies images of measurement values and the like. The shape measuring device 3 includes, for example, one or more cameras, for example a stereo camera, and is connected to the measurement processing device 2 via a cable or the like. The shape measuring device 3 is placed at a distance Dr from the object 4 to be measured in real space, and is controlled by the measurement control signal MC input from the measurement processing device 2 to photograph the object 4 to be measured.

The shape measuring device 3 is used to measure the distance Dv in the virtual space between the shape measuring device 3 and the object to be measured 4 and the three-dimensional shape of the object to be measured 4 from the image obtained as a result of photography. A measurement value MV is generated and output to the measurement processing device 2. The measurement data output by the shape measuring device 3 is an example of shape data indicating the shape of the measurement object 4.

The shape measuring system 1 uses these components to measure the three-dimensional shape of the object to be measured 4, and uses the measured values that can be expected to be highly accurate among the measured values obtained by the measurement to achieve high accuracy. Performs control processing to prevent the use of unexpected measured values. Note that "using measured values" means using, displaying, and storing measured values for testing, or storing them with information indicating that they are highly reliable. do. In addition, "not using measured values" means discarding the measured values without using them for testing, not displaying them, not storing them, or adding information to the measured values indicating that they are unreliable. It means to remember. Furthermore, the criterion for distinguishing between "using measured values" and "not using measured values" is a relative one, and controlling to "use measured values" means making it relatively easier to use. Controlling the measurement value so as not to use it means controlling it so that it is relatively difficult to use.

FIG. 2 is a diagram showing the configuration of the measurement processing device 2 shown in FIG. 1. As shown in FIG. 2, the measurement processing device 2 includes a required accuracy database (DB) 200, an expected accuracy DB 202, a tolerance acceptance section 206, and a required accuracy DB 200 connected to the UI device 18 etc. via a bus 100. and a required accuracy calculation unit 210 connected to the tolerance acceptance unit 206, an expected accuracy calculation unit 212 connected to the expected accuracy DB 202, a virtual distance calculation unit 214 connected to the expected accuracy calculation unit 212, and the required accuracy. A comparison unit 216 connected to the calculation unit 210 and the expected accuracy calculation unit 212, a usage control unit 218 connected to the comparison unit 216, etc., a measurement control unit 220 connected to the shape measurement device 3, etc., and a measurement value acceptance unit. 222.

With these components, the measurement processing device 2 controls the shape measurement device 3 according to the user's operation MO to measure the shape of the measurement object 4, and uses the measurement value obtained as a result of the measurement, or Perform processing to prevent use.

The measurement control unit 220 controls the shape measurement device 3 by outputting a measurement control signal MC according to the user's operation MO on the keyboard 182 or the like of the UI device 18, and causes the shape measurement device 3 to take an image of the measurement target 4. Furthermore, the measurement control unit 220 causes the shape measuring device 3 to generate a measurement value MV indicating the shape of the measuring object 4 and the distance between the shape measuring device 3 and the measuring object 4.

The measured value receiving unit 222 generates a shape measured value SMV indicating the shape of the measurement object 4 from the measured value MV generated by the shape measuring device 3, and outputs it to the usage control unit 218. Further, the measured value receiving unit 222 generates a distance measured value DMV indicating the distance Dv in the virtual space between the shape measuring device 3 and the measurement object 4 from the measured value MV, and outputs it to the virtual distance calculating unit 214. . The measured value receiving unit 222 is an example of shape data acquisition means.

The virtual distance calculation unit 214 calculates the distance Dv from the distance measurement value DMV input from the measurement value reception unit 222 and outputs it to the expected accuracy calculation unit 212. Although the shape measuring device 3 does not exist in the virtual space, by setting the position where the shape measuring device 3 is placed in the real space as the origin of the coordinate axis system in the virtual space and using this origin as the measurement point, the shape measuring device 3 in the virtual space can be Distance Dv can be defined.

The tolerance acceptance unit 206 accepts the tolerance T allowed for the measured value of the shape of the measurement object 4 input by the user using the UI device 18 . Note that there may be differences in allowable tolerances depending on the type of the object 4 to be measured. In such a case, the tolerance acceptance section 206 further accepts the type of the measurement object 4. The tolerance receiving section 206 outputs the type of the accepted measurement object 4 and the tolerance T to the required accuracy calculation section 210, and outputs the type of the measurement object 4 to the expected accuracy calculation section 212.

The required accuracy DB 200 stores required accuracy calculation data RACD used to calculate the required accuracy RA indicating the accuracy of the measured value required according to the tolerance T allowed for the measured value of the measurement object 4. The required accuracy DB 200 outputs the stored required accuracy calculation data RACD to the required accuracy calculation unit 210. The required accuracy calculation data RACD includes, for example, the formula RA=f(T) used to calculate the required accuracy RA by substituting the value of the tolerance T, multiple combinations of the measurement object 4 and the value of the tolerance T, It is composed of a table that associates values of required accuracy RA, and the like. FIG. 3 illustrates the required accuracy calculation data RACD in a table format. When the required accuracy calculation data RACD is in a table format as shown in FIG. 3, such a table is prepared for each type of measurement object 4, for example. Note that the numerical formula format and the table format may be mixed.

The expected accuracy DB 202 stores expected accuracy calculation data EACD used to calculate expected accuracy EA indicating the expected accuracy of the measured value according to the distance Dv in the virtual space between the shape measuring device 3 and the measurement object 4. Remember. The expected accuracy DB 202 outputs the stored expected accuracy calculation data EACD to the expected accuracy calculation unit 212. The expected accuracy calculation data EACD includes, for example, the formula EA=g(Dv) used to calculate the expected accuracy EA by substituting the value of the distance Dv, the measurement object 4, and a plurality of combinations of the values of the plurality of distances Dv. and a table that associates the expected accuracy EA for the shape measuring device 3 with each other. FIG. 4 illustrates expected accuracy calculation data EACD in a table format. When the expected accuracy calculation data EACD is in a table format as shown in FIG. 4, such a table is prepared for each type of measurement object 4, for example. Note that the numerical formula format and the table format may be mixed.

The required accuracy calculation unit 210 shown in FIG. Apply T to calculate the required accuracy RA. For example, when the required accuracy calculation data RACD is in a formula format, the required accuracy calculation unit 210 reads the corresponding formula from the required accuracy DB 200, substitutes the tolerance T input from the tolerance acceptance unit 206, and calculates the required accuracy RA. calculate. Further, when the required accuracy calculation data RACD is in a table format as shown in FIG. The required accuracy RA corresponding to the tolerance T is calculated by applying the tolerance T input from the tolerance acceptance unit 206. The required accuracy calculation section 210 outputs the calculated required accuracy RA together with the tolerance T to the comparison section 216. The required accuracy calculation unit 210 is an example of required accuracy acquisition means, and may be configured to acquire the required accuracy by a method other than calculation.

The required accuracy calculation data RACD may not include the required accuracy RA corresponding to the combination of the type of the measurement object 4 and the tolerance T. In such a case, the required accuracy calculation unit 210 calculates the required accuracy RA by performing interpolation or the like using the required accuracy RA corresponding to the plurality of tolerances T of the measurement object 4 of the type to be measured. do.

The expected accuracy calculation unit 212 calculates the expected accuracy calculation data EACD input from the expected accuracy DB 202, the distance Dv input from the virtual distance calculation unit 214, and the type of measurement object 4 input from the tolerance acceptance unit 206. is used to calculate the expected accuracy EA corresponding to each of the plurality of distances Dv. For example, when the expected accuracy calculation data EACD is in a formula format, the expected accuracy calculation unit 212 reads a formula corresponding to the type of measurement object 4 input from the tolerance acceptance unit 206 from the expected accuracy DB 202, and the virtual distance calculation unit The expected accuracy EA is calculated by substituting the distance Dv input from 214. Further, when the expected accuracy calculation data EACD is in a table format as shown in FIG. The expected accuracy EA is calculated by reading and substituting the distance Dv input from the virtual distance calculation unit 214. The expected accuracy calculation unit 212 outputs the calculated expected accuracy EA to the comparison unit 216 together with the distance Dv. The expected accuracy calculation unit 212 is an example of an expected accuracy acquisition unit, and may be configured to acquire the expected accuracy by a method other than calculation.

Note that the expected accuracy calculation data EACD may not include the expected accuracy EA corresponding to the combination of the type of the measurement object 4 and the distance Dv. In such a case, the expected accuracy calculation unit 212 calculates the expected accuracy EA by performing interpolation or the like using the expected accuracy EA corresponding to the plurality of distances Dv of the measurement object 4 of the type to be measured. do.

Note that the required accuracy RA is the accuracy required because the shape measurement value SMV of the measurement object 4 by the shape measurement device 3 can be used as the measurement output value MOV. Further, the expected accuracy EA is the accuracy that is expected to be satisfied by the shape measurement value SMV of the measurement object 4 by the shape measuring device 3. Therefore, the expected accuracy EA of the available shape measurement value SMV needs to be within the range of the required accuracy RA.

The comparison unit 216 compares the required accuracy RA input from the required accuracy calculation unit 210 and the expected accuracy calculation unit 212 with the expected accuracy EA, and determines whether the expected accuracy EA is included in the range of the required accuracy RA. , outputs the determination result, the value of required accuracy RA and the value of expected accuracy EA used in the determination to the usage control unit 218. Note that the comparison unit 216 is an example of comparison means.

As a result of the determination by the comparison unit 216, the expected accuracy EA is included in the range of the required accuracy RA, and the usage control unit 218 sets the shape measurement value SMV that is determined to be usable as the usable measurement output value MOV, and uses the shape measurement value SMV as the usable measurement output value MOV. The data is controlled to be output to the UI device 18, the storage device 16, etc. via the UI device 18 and the storage device 16. In other words, it is controlled so that it is used. On the other hand, the usage control unit 218 discards, for example, the shape measurement value SMV whose expected accuracy EA is not included in the range of the required accuracy RA and is determined to be unusable as a result of the determination by the comparison unit 216, and The information is also controlled not to be output to the UI device 18 or the like. In other words, it is controlled so that it is not used. By controlling in this way, it is possible to eliminate the influence of an error caused by the distance between the shape measuring device 3 and the object to be measured 4 on the measured output value MOV. The usage control unit 218 is an example of a control means, and broadly controls whether or not the shape measurement value SMV can be used.

Note that when the comparison unit 216 determines that a plurality of shape measurement values SMV can be used, the smaller the maximum absolute value max|EA| of the expected accuracy EA, the higher the reliability when using it. is considered high. Further, even when the comparison unit 216 determines that the plurality of shape measurement values SMV cannot be used, the smaller the value of the maximum value max|EA|, the more reliable the usage becomes. It is considered too expensive to be available.

Therefore, when the shape measurement system 1 measures the shapes of a plurality of measurement objects 4, the usage control unit 218 attaches information indicating reliability during usage to each of the available measurement output values MOV. It is also possible to output the measured output value MOV. Further, the usage control unit 218 can also output the measured output values MOV by attaching information indicating reliability during use to each of all the measured output values MOV.

Hereinafter, a method of measuring the object 4 to be measured by the shape measurement system 1 and using the measurement output value MOV will be described using a specific example. FIG. 5 is a diagram showing a specific example of the operation of the shape measurement system 1. Hereinafter, two measurement objects 4 of the same type will be distinguished as measurement objects 4-1 and 4-2 as appropriate. For example, the user inputs the tolerance T of the measured output values MOV of the measurement objects 4-1 and 4-2 into the range of T=+10 mm to -10 mm via the UI device 18 to the tolerance receiving unit 206 of the measurement processing device 2. Set. Further, the virtual distance calculation unit 214 processes the distance measurement value DMV and calculates the distance Dv between the shape measuring device 3 and the measurement objects 4-1 and 4-2, respectively, to be 5 m and 15 m. Note that if the types of measurement objects 4-1 and 4-2 are different, the value of the tolerance T may also be different.

From the table shown in FIG. 3, the comparison unit 216 obtains a value of RA=+2.5 mm to −2.5 mm as the required accuracy RA corresponding to the range of tolerance T=+10 mm to −10 mm. Furthermore, from the table shown in FIG. 4, the comparison unit 216 determines that the expected accuracy EA corresponding to the distance Dv=5 m between the shape measuring device 3 and the measurement object 4-1 is EA=+2.0 mm to -2. Obtain values with a range of .0 mm. Further, from the table shown in FIG. 4, the comparing unit 216 determines that the expected accuracy EA corresponding to the distance Dv=15 m between the shape measuring device 3 and the measurement object 4-2 is EA=+6.0 mm to -6. Obtain values with a range of .0 mm.

When the distance Dv between the shape measuring device 3 and the object to be measured 4-1 is 5 m, the expected accuracy EA = +2.0 to -2.0 mm is equal to the required accuracy RA = +2.5 mm to -2.5 mm. Since it is within the range, that is, EA⊆RA holds, the comparison unit 216 determines that the shape measurement value SMV input from the shape measurement device 3 can be used. The comparison unit 216 outputs the maximum value max|EA| to the usage control unit 218 together with this determination result. Note that the maximum value max|EA| for the measurement object 4-1 is 2.0 mm. The usage control unit 218 outputs the shape measurement value SMV determined to be usable as the measurement output value MOV to the storage device 16, the UI device 18, etc. via the bus 100 for use. Note that the absolute value of the upper limit value and the absolute value of the lower limit value of the boundary value of the expected accuracy EA are not necessarily equal. Therefore, for example, when the expected accuracy EA for the measurement object 4-1 is from +2.0 to -2.5 mm, the absolute value of the boundary values of the expected accuracy EA of +2.0 and -2.5 is larger |-2 .5|=2.5 is taken as the maximum value max|EA| for the measurement object 4-1.

When the distance Dv between the shape measuring device 3 and the object to be measured 4-2 is 15 m, the expected accuracy EA = +6.0 mm to -6.0 mm is equal to the required accuracy RA = +2.5 mm to -2.5 mm. Includes portions that are not included in the range, that is, portions where EA = +6.0 mm to +2.5 mm, -2.5 mm to +-6.0 mm. In such a case, the comparison unit 216 determines that the expected accuracy EA is outside the range of the required accuracy RA, that is, EA⊆RA does not hold, and therefore, the shape measurement value SMV input from the shape measurement device 3 is unusable. We judge that it is possible. Note that the maximum value max|EA| for the measurement object 4-2 is 6.0 mm. The usage control unit 218 discards the shape measurement value SMV that is determined to be unusable, does not output it to the storage device 16, the UI device 18, etc., and does not allow it to be used.

Hereinafter, the overall shape measurement operation of the shape measurement system 1 will be further explained with reference to a flowchart. FIG. 6 is a flowchart showing the shape measurement process of the shape measurement system 1.

In step S100, the required accuracy DB 200 and the required accuracy calculation unit 210 receive the required accuracy calculation data RACD and the expected accuracy calculation data EACD from the UI device 18 or the like via the bus 100, and store them.

The required accuracy DB 200 and the required accuracy calculation unit 210 provide the stored required accuracy calculation data RACD and expected accuracy calculation data EACD for processing by the required accuracy calculation unit 210 and the expected accuracy calculation unit 212. Note that when the required accuracy DB 200 and the expected accuracy DB 202 provide only pre-stored data to the required accuracy calculation section 210 and the expected accuracy calculation section 212, the process of step S100 can be omitted.

In step S102, the tolerance acceptance unit 206 accepts the tolerance T of the measurement object 4 and the type of the measurement object 4 input by the user into the UI device 18. The tolerance acceptance section 206 outputs the type of the accepted measurement object 4 to the expected accuracy calculation section 212, and outputs the type of the accepted measurement object 4 and its tolerance T to the required accuracy calculation section 210. Note that when the shape measurement system 1 measures the shapes of the plurality of measurement objects 4, the tolerance acceptance unit 206 receives the types and tolerances T of each of the plurality of measurement objects 4.

In step S104, the required accuracy calculation unit 210 calculates the required accuracy RA from the type of measurement object 4 and the tolerance T input from the tolerance acceptance unit 206, associates the tolerance T with the calculated required accuracy RA, and 3 is created and output to the comparison unit 216.

In step S106, the measurement control unit 220 receives an operation MO for measuring the shape of the measurement object 4 input by the user into the UI device 18. Note that when the shape measurement system 1 measures the shapes of the plurality of measurement objects 4, the measurement control unit 220 receives an operation MO for measuring the shape of each of the plurality of measurement objects 4.

In step S108, the measurement control unit 220 generates a measurement control signal MC according to the accepted user operation MO, outputs it to the shape measurement device 3, controls it, and causes the shape of the measurement object 4 to be measured. Note that when the shape measurement system 1 measures the shapes of a plurality of measurement objects 4, the measurement control unit 220 controls the shape measurement device 3, and controls the shape of the measurement objects whose shape is being measured at that time. The shape of 4 will be measured.

In step S110, the measured value receiving unit 222 receives the measured value MV indicating the shape of the measurement object 4 measured by the shape measuring device 3. The measurement value receiving unit 222 generates a distance measurement value DMV indicating the distance between the shape measuring device 3 and the measurement object 4 and a shape measurement value SMV indicating the shape of the measurement object 4 from the received measurement value MV. and outputs it to the virtual distance calculation unit 214. The virtual distance calculation unit 214 calculates the distance Dv between the shape measuring device 3 and the measurement object 4 from the distance measurement value DMV in the virtual space, and outputs it to the expected accuracy calculation unit 212.

In step S112, the expected accuracy calculation unit 212 processes the distance Dv and the type of the measurement target 4, calculates the expected accuracy EA, and associates the distance Dv with the calculated expected accuracy EA, as shown in FIG. A table is created and output to the comparison unit 216.

In step S114, the comparison unit 216 reads out the required accuracy RA corresponding to the tolerance T from the table shown in FIG. 3, and reads out the expected accuracy EA corresponding to the distance Dv from the table shown in FIG. 4 and compares them. Furthermore, the comparison unit 216 determines whether the expected accuracy EA is within the range of the required accuracy RA.

When the expected accuracy EA is within the range of the required accuracy RA, the comparison unit 216 determines that the shape measurement value SMV of the measurement object 4 can be used and outputs it to the usage control unit 218, and the shape measurement system 1 performs step S116. Proceed to processing. When the expected accuracy EA is not within the range of the required accuracy RA, the shape measurement system 1 proceeds to the process of step S118.

In step S116, the usage control unit 218 outputs the shape measurement value SMV as the measurement output value MOV to the storage device 16, the UI device 18, etc. for use.

In step S<b>118 , the comparison unit 216 determines that the shape measurement value SMV of the measurement object 4 is unavailable, and outputs the determination result to the usage control unit 218 . The usage control unit 218 discards the shape measurement value SMV according to the result of the determination by the comparison unit 216, does not output it as the measurement output value MOV, and makes it unusable in the UI device 18 or the like.

In step S118, the measurement control unit 220 determines whether the measurements of the shapes of all the objects 4 to be measured have been completed. When the shape measurement of all the measurement objects 4 is completed, the shape measurement system 1 ends its operation. If the measurement of the shapes of all the measurement objects 4 has not been completed, the process of the shape measurement system 1 returns to the process of step S108.

Hereinafter, a modification of the shape measurement system 1 will be described. Note that, as described above, the comparison unit 216 compares the shape measurement values SMV of the plurality of measurement objects 4 based on the result of the determination as to whether the shape measurement values SMV of the plurality of measurement objects 4 can be used and the value of the expected accuracy EA. The reliability of each of the 4 shape measurement values SMV can be determined.

The usage control unit 218 may divide the shape measurement values SMV determined by the comparison unit 216 into layers according to the reliability of each shape measurement value SMV, and may output and store it in the storage device 16 as the measurement output value MOV. Alternatively, the usage control unit 218 may store each measured output value MOV in a different storage area of the storage device 16 depending on the reliability, or in a different folder depending on the reliability.

Alternatively, the usage control unit 218 explicitly changes the color, transparency, etc. according to the reliability of each shape measurement value SMV in a different manner depending on the reliability, and outputs the measurement output value MOV as the measurement output value MOV. It may also be displayed on the screen or printed out from the printer 186.

In this way, when the measured output values MOV are displayed on the display 180 in different ways and shown to the user, the user is asked which of the measured output values MOV should be used to inspect the shape of the measurement object 4, or , it can be determined which measurement output value MOV should be used for inspecting the shape of the measurement object 4.

Further, as described above, the comparator 216 can determine whether or not the shape measurement value SMV can be used, and the reliability of the shape measurement value SMV can be determined based on the expected accuracy EA. Therefore, the usage control unit 218 outputs all shape measurement values SMV obtained by measuring the shapes of the plurality of measurement objects 4 to the storage device 16 as measurement output values MOV, and further adds information indicating reliability. and memorize it.

In the above description, the case where the user sets the tolerance T in the tolerance acceptance unit 206 from the UI device 18 was exemplified, but the shape of the measurement object 4 is not set by a three-dimensional CAD (Computer Aided Design) device. When designing, a tolerance T may be set at the time of design. In such a case, the tolerance receiving unit 206 may automatically acquire the tolerance T from the three-dimensional CAD device used to design the shape of the measurement object 4. However, the CAD device is not illustrated.

In addition, in the above description, the case where the required accuracy calculation unit 210 calculates the required accuracy RA using the data stored in the required accuracy DB 200 was exemplified, but it is also possible that the required accuracy RA is uniquely calculated from the tolerance T. When obtaining the accuracy, the value may be used as the required accuracy RA. For example, if it is determined that 1/4 of the tolerance T is the required accuracy RA, the required accuracy calculation unit 210 may store RA=T/4 as the formula for calculating the required accuracy RA. good.

In the above explanation, the case where the expected accuracy calculation unit 212 calculates the expected accuracy EA using the data stored in the expected accuracy DB 202 has been exemplified, but when the expected accuracy EA can be uniquely calculated from the distance Dv, , the value may be used as the expected accuracy EA. For example, if it is determined that the expected accuracy EA is 0.0004 times the distance Dv, the expected accuracy calculation unit 212 stores EA=0.0004×Dv as the formula for calculating the expected accuracy EA. You may.

Moreover, although the case where the expected accuracy EA associated with the mathematical formula and the distance Dv is stored as the expected accuracy calculation data EACD in the expected accuracy DB 202 has been exemplified above, the value of the expected accuracy EA may be affected. It is also possible to memorize other factors. Note that other factors include, for example, the magnitude of vibration that occurs when measuring the shape of the measurement object 4, the illuminance, temperature, humidity, and magnetic field intensity around the shape measuring device 3 and the measurement object 4, These include the temperature at the time of startup of the shape measuring device 3 and the altitude of the place where the shape of the object to be measured 4 was measured.

In addition, although the case where the required accuracy RA associated with the mathematical formula and the tolerance T is stored as required accuracy calculation data RACD in the required accuracy DB 200 has been exemplified above, It is also possible to memorize other factors. Note that other factors include, for example, the magnitude of vibration that occurs when measuring the shape of the measurement object 4, the illuminance, temperature, humidity, and magnetic field intensity around the shape measuring device 3 and the measurement object 4, These include the temperature at the time of startup of the shape measuring device 3 and the altitude of the place where the shape of the object to be measured 4 was measured.

Moreover, although the case where the virtual distance calculation unit 214 calculates the distance Dv has been exemplified above, the user of the shape measurement system 1 can calculate the distance Dr in the real space between the shape measurement device 3 and the measurement object 4 that was actually measured. may be input into the UI device 18 and used instead of the distance Dv.

In the above embodiment, one tolerance T is set for one measurement object 4, but areas A1, A2, etc. on one measurement object 4. ．． ．． Different tolerances T1, T2 . ．． ．． may be set. In this case, it is sufficient to specify which region the positional data belongs to, and select and use the tolerance of the region to which the measurement data belongs.

Furthermore, even if there is only one measurement object 4, areas A1, A2 . ．． ．． Different distances Dv1, Dv. ．． ．． may be set. In this case, it is sufficient to specify which area the measurement data belongs to, and select and use the distance Dv of the area to which it belongs.

In the embodiment described above, an example was shown in which the shape measurement system 1 includes the shape measurement device 3. The shape measurement system 1 does not need to include the shape measurement device 3. For example, the shape measurement system 1 does not include the shape measurement device 3 and receives measurement data of the measurement object 4 measured by an external device and the distance to the measurement object 4 via communication or via a storage medium. The system may also process the received data using the method described above.

Although several embodiments of the present disclosure have been described, these embodiments are presented by way of example and are not intended to limit the scope of the disclosure. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the disclosure. These embodiments and their modifications are included within the scope and gist of the disclosure, as well as within the scope of the disclosure described in the claims and its equivalents.

1 shape measurement system, 2 measurement processing device, 3 shape measurement device, 4 measurement object, 10 computer, 100 bus, 12 CPU, 14 memory, 16 storage device, 18 UI (user interface) device, 180 display, 182 keyboard, 184 Mouse, 186 Printer, 200 Requested accuracy DB, 202 Expected accuracy DB, 206 Tolerance acceptance section, 210 Requested accuracy calculation section, 212 Expected accuracy calculation section, 214 Virtual distance calculation section, 216 Comparison section, 218 Usage control section, 220 Measurement Control unit, 222 Measured value receiving unit.

Claims (5)

Shape data acquisition means for acquiring shape data obtained by measuring the shape of the object to be measured;
required accuracy acquisition means for determining required accuracy required for the shape data according to tolerances set for the measurement target;
Expected accuracy obtaining means for obtaining expected accuracy of the shape data according to the distance between the measurement target and the shape measuring device;
a comparison means for comparing the required accuracy and the expected accuracy;
When the result of the comparison by the comparison means is that the expected accuracy is equal to or higher than the required accuracy, control is performed to utilize the shape data, and the reliability is determined in the shape data based on the result of the comparison by the comparison means. a control means attached with information indicating ;
A shape measurement system equipped with. The shape data acquisition means includes a shape measuring device that measures the shape of the object to be measured,
The control means executes a process of restricting the use of the shape data having an expected accuracy lower than the required accuracy.
The shape measurement system according to claim 1. The control means performs control to discard the shape data when the result of the comparison by the comparison means is that the expected accuracy is less than the required accuracy.
The shape measuring system according to claim 1 or 2 . Determining the required accuracy required for the shape data obtained by measuring the measurement object according to the tolerance set for the measurement object,
Determining the expected accuracy of the measurement data according to the distance between the measurement object and the measurement point,
Compare the required accuracy and expected accuracy,
When the result of the comparison is that the expected accuracy is greater than or equal to the required accuracy, control is performed to utilize the shape data, and based on the result of the comparison, information indicating the reliability of the shape data is attached to the shape data.
Shape measurement method. to the computer,
A process of determining the required accuracy required for the shape data obtained by measuring the object to be measured, according to the tolerance set for the object to be measured;
a process of determining expected accuracy of the measurement data according to the distance between the measurement object and the measurement point;
Processing to compare required accuracy and expected accuracy,
A process of controlling the use of the shape data when the result of the comparison is that the expected accuracy is greater than or equal to the required precision, and adding information indicating the reliability of the shape data to the shape data based on the result of the comparison;
A program to run.

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