JP6366875B1 - Information processing apparatus and processing defect identification method - Google Patents

Abstract

The information processing apparatus (1) specifies a processing defect portion of a processing target based on an image feature (40) calculated from image data obtained by photographing the processing target after processing, and processes the processing target. Based on the program feature quantity (41) calculated from the machining program (2) and the image feature quantity (40), a portion describing an operation for machining a machining defect portion in the machining program (2) A processing defect specifying part (13) to be specified is provided.

Description

  The present invention relates to an information processing apparatus and a processing failure specifying method for specifying a processing failure portion of a processing object.

  The numerical control device reads and executes a numerically controlled machining program in which a movement command for moving a workpiece or a machining tool along a preset path is read and executed, whereby the workpiece and the machining tool are The workpiece is machined by changing the relative position. In such processing, processing defects may occur in the processing object. For example, due to an abnormality in a numerically controlled machining program or control data, the machining tool is displaced from a desired position with respect to the workpiece, or vibration called chatter vibration occurs between the machining tool and the workpiece. It is caused by. Processing defects caused by chatter vibration are also called chatter marks. When a processing failure occurs, it is necessary to identify the portion where the processing failure has occurred and the cause of the processing failure and make improvements so that normal processing can be performed.

  Patent Document 1 discloses a technique for constantly monitoring the state of a machining center, which is a machine tool, and identifying the cause of processing failure based on monitoring data and image data obtained by photographing a processing surface of a processing target. It is disclosed. The data monitored here includes a current value of the conveyance motor, a current value of the spindle head, vibration temperatures at a plurality of locations on the machine body, and the like.

JP 2007-190628 A

  However, according to the technique described in Patent Document 1, it is necessary to constantly monitor the state of the machine tool. In addition, when a machining program needs to be corrected in order to eliminate machining defects, it is necessary to perform simulations to identify parts that need to be corrected in the machining program, and it takes time to eliminate machining defects. was there.

  The present invention has been made in view of the above, and it is an object of the present invention to obtain an information processing apparatus and a processing defect identification method capable of reducing the time taken to eliminate processing defects when processing defects occur. To do.

  In order to solve the above-described problems and achieve the object, the information processing apparatus of the present invention is a processing defect portion of a processing object based on an image feature amount calculated from image data obtained by photographing the processing object after processing. And specify the part of the machining program that describes the operation for machining the defective part based on the program feature value calculated from the machining program for machining the workpiece and the image feature value. It is characterized by including a processing defect specifying part.

  The information processing apparatus according to the present invention has an effect that it is possible to reduce the time taken to eliminate the processing failure when the processing failure occurs.

The figure which shows the structure of the information processing apparatus concerning Embodiment 1 of this invention. The figure which shows the command position which the program feature-value calculation part shown in FIG. 1 calculates The figure which shows the program feature-value which the program feature-value calculation part shown in FIG. 1 calculates The figure which shows the image data which the image reading part shown in FIG. 1 reads The figure which shows the image feature-value calculated from the image data shown in FIG. The figure which shows the display screen which the display part shown in FIG. 1 displays. The flowchart which shows operation | movement of the information processing apparatus shown in FIG. The figure which shows the structure of the information processing apparatus concerning Embodiment 2 of this invention. The figure which shows the display screen which displays the cause of the processing defect which the display part shown in FIG. 8 displays The flowchart which shows operation | movement of the information processing apparatus shown in FIG. The figure which shows the structure of the information processing apparatus concerning Embodiment 3 of this invention. The figure which shows the variation of the positional relationship of the imaging device and image processing object which image | photograph the image data which the information processing apparatus shown in FIG. 11 processes The figure which shows the hardware constitutions of the information processing apparatus concerning Embodiment 1 to 3 of this invention.

  Hereinafter, an information processing apparatus and a processing defect specifying method according to an embodiment of the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited to the embodiments.

Embodiment 1 FIG.
FIG. 1 is a diagram illustrating the configuration of the information processing apparatus 1 according to the first embodiment of the present invention. The information processing apparatus 1 performs a process of specifying a processing defect that occurs in a processing target processed by a processing tool. Specifically, the information processing apparatus 1 uses a machining program 2 for machining a machining object by changing a relative position between the machining tool and the machining object, and image data 24 obtained by photographing the machining object. In addition, it is possible to specify a processing failure portion of the processing object and a portion describing an operation for processing the processing failure portion in the processing program. The workpiece is also called a workpiece.

  The information processing apparatus 1 includes a program command reading unit 3, a program feature amount calculation unit 4, an image reading unit 5, an image feature amount calculation unit 6, a collation unit 8, a processing defect specifying unit 13, and a display unit 9. And have.

  The program command reading unit 3 reads the machining program 2 composed of a plurality of blocks and inputs it to the program feature value calculation unit 4. Based on the input machining program 2, the program feature value calculation unit 4 calculates a feature value indicating the shape of the workpiece after machining for each block of the machining program 2. The program feature 41 is an edge shape including the edge 32 of the workpiece and the edge 33 of the machining shape calculated from the command position, the line segment length of each block, the curvature, the machining direction, the pitch width, and the like. The program feature quantity calculation unit 4 inputs the calculated program feature quantity 41 to the collation unit 8.

FIG. 2 is a diagram showing the command position 35 calculated by the program feature quantity calculation unit 4 shown in FIG. The machining program 2 describes a plurality of command positions 35 indicating the shape of the workpiece after machining. 2, ^W X, ^W Y, shows a plurality of command position 35 in the three-dimensional space defined by three axes of ^W Z. FIG. 3 is a diagram showing the program feature 41 calculated by the program feature calculator 4 shown in FIG. The program feature value 41 includes a command position 35, an edge 32 of a processing object, and an edge 33 of a processing shape.

  The image reading unit 5 reads the image data 24 obtained by photographing the processing surface of the processing object, and inputs the read image data 24 to the image feature amount calculation unit 6. The image data 24 read by the image reading unit 5 may be a part of moving image data. The image feature amount calculation unit 6 analyzes the image data 24 input from the image reading unit 5 and calculates an image feature amount. The image feature 40 is calculated using an image analysis method such as edge detection or binarization. The image feature quantity calculation unit 6 inputs the calculated image feature quantity 40 to the collation unit 8.

  FIG. 4 is a diagram showing the image data 24 read by the image reading unit 5 shown in FIG. The image data 24 includes a part of the processing target, but the image data 24 may include the entire processing target. FIG. 5 is a diagram showing the image feature 40 calculated from the image data 24 shown in FIG. The image feature 40 indicates an edge shape including the edge 32 indicating the outer periphery of the object to be processed, the edge 33 of the processed shape, and the edge 34 of the defective processing portion, the processing direction, the pitch width, and the like.

  The collation unit 8 collates the program feature value 41 input from the program feature value calculation unit 4 with the image feature value 40 input from the image feature value calculation unit 6, and processes the object in the image data 24. And the part in the machining program 2 in which the operation for machining this part is described. The collation unit 8 compares the edge 32 indicating the outer periphery of the processing object calculated as the program feature 41 with the edge 32 indicating the outer periphery of the processing object calculated as the image feature 40 and matches the feature amounts. The program feature value 41 and the image feature value 40 are made to correspond to each other. Alternatively, the collation unit 8 may perform collation using feature quantities other than the edge 32 such as the scanning line direction of processing, the pitch width, and the edge 33 of the processing shape. The collation unit 8 can also perform collation using a plurality of types of feature amounts. When the entire processing object is shown in the image data 24, it is preferable that the matching unit 8 perform matching using the edge 32 indicating the outer periphery of the processing object. When only a part of the processing object is shown in the image data 24, it is preferable that the collation unit 8 perform collation using feature amounts such as the edge 33 of the machining shape and the pitch width. Note that the matching unit 8 may determine that the feature amounts match when the difference between the feature amounts is within a predetermined error range.

  When the correspondence between the image data 24 and the processing program 2 is known in advance, the collation unit 8 may accept input of information indicating the correspondence from the user and perform collation based on the received information. Alternatively, the collation unit 8 outputs a plurality of candidates when a plurality of matching portions are found as a result of the collation, and allows the user to select the correspondence between the processing object of the image data 24 and the processing program 2. Also good.

  The processing defect specifying unit 13 specifies the position of the processing defect portion in the processing object based on the image feature amount 40, and determines the processing defect portion in the processing program 2 based on the image feature amount 40 and the program feature amount 41. Specify the part that describes the operation to be processed. The processing defect specifying unit 13 specifies the edge 34 of the processing defect portion based on the image feature 40. For example, in the case of cutting, the processed surface may not be a flat surface, and boundaries between a plurality of cutting surfaces formed by the cutting may be formed. The protruding part formed at this boundary is called a cusp. When the processed surface is processed satisfactorily, the cusp has a uniform height, and when the edge is detected from the image data 24, a uniform value is detected. When the processed surface includes a defective processing portion, the image feature amount 40 such as the height of the cusp has a value different from that of a good processed surface. After specifying the position of the processing failure portion, the processing failure specifying unit 13 uses the verification result of the verification unit 8 to specify the portion describing the operation of processing the processing failure portion in the processing program 2. The processing defect specifying unit 13 inputs the position information of the processing defect part and the part describing the operation of processing the processing defect part in the processing program 2 to the display unit 9.

  The display unit 9 generates a display screen based on the input information and causes the display device to display the generated display screen. FIG. 6 is a diagram showing a display screen displayed by the display unit 9 shown in FIG. In the upper part of FIG. 6, a diagram is shown in which the edge 32 of the object to be processed and the edge 34 of the processing defect part, which are the image feature 40, and the processing defect specifying part 36 are superimposed on the image data 24. In the lower part of FIG. 6, a diagram in which the machining program block 31 of the machining defect specifying portion is superimposed on a diagram in which the command position 35 as the program feature 41 is three-dimensionally displayed is shown. The display unit 9 may display a plurality of diagrams shown in FIG. 6 on one display screen, or may display each of the plurality of diagrams shown in FIG. 6 on a plurality of display screens. FIG. 6 shows only one machining defect specifying part and a machining program block for the machining defect specifying part. However, when a plurality of machining defect parts are specified, a plurality of machining defect specifying parts are displayed as image data 24. It may be shown superimposed on the top, or when a plurality of processing program blocks of the processing defect specifying portion are collated, a plurality of processing program blocks may be shown superimposed on the image data 24.

  FIG. 7 is a flowchart showing the operation of the information processing apparatus 1 shown in FIG. First, the program command reading unit 3 acquires the processing program 2, and the image reading unit 5 acquires image data 24. The program command reading unit 3 inputs the acquired machining program 2 to the program feature amount calculation unit 4, and the image reading unit 5 inputs the acquired image data 24 to the image feature amount calculation unit 6 (step S11). The image feature amount calculation unit 6 calculates an image feature amount 40 from the input image data 24 (step S12). The program feature value calculation unit 4 calculates a program feature value 41 from the input machining program 2 (step S13).

  The collation unit 8 collates the program feature quantity 41 and the image feature quantity 40 to obtain a part of the processing object in the image data 24 and a part of the processing program 2 in which an operation for processing the part is described. Make it correspond. At this time, the collation unit 8 sets a comparison range to be compared with the image feature 40 in the program feature 41, and collates the program feature 41 in the comparison range with the image feature 40 (step S14). The collation unit 8 determines whether the corresponding feature amount has been specified (step S15). When the corresponding feature amount cannot be specified (step S15: No), the collation unit 8 changes the comparison range of the program feature amount 41 (step 16), and executes step S14 again. Although not shown, when there is no comparison range candidate, it is determined that there is no correlation between the processing program 2 and the image data 24, and the process ends.

  When the corresponding feature amount can be specified (step S15: Yes), the processing defect specifying unit 13 specifies the processing defect portion using the image feature amount 40 (step S17). The processing defect specifying unit 13 specifies a processing program block of the processing defect specifying part. The processing defect specifying unit 13 inputs the processing defect specifying part and the processing program block of the processing defect specifying part to the display unit 9 (step S18). The display unit 9 outputs the machining defect specifying part and the machining program block of the machining defect specifying part (step S19).

  As described above, according to the first embodiment of the present invention, the image data 24 obtained by photographing the processing object and the relative position between the processing tool and the processing object are changed to process the processing object. Based on the machining program 2, it is possible to specify the position of the machining defect part of the workpiece and the part of the machining program 2 describing the operation for machining the machining defect part. With this configuration, when a machining defect occurs, the part of the machining program 2 that causes the machining defect is specified, so that it is possible to reduce the time taken to eliminate the machining defect.

Embodiment 2. FIG.
FIG. 8 is a diagram showing a configuration of the information processing apparatus 10 according to the second embodiment of the present invention. In addition, about the component similar to the information processing apparatus 1 concerning Embodiment 1, the same code | symbol is attached | subjected and detailed description is abbreviate | omitted.

  The information processing apparatus 10 includes a program command reading unit 3, a program feature amount calculation unit 4, an interpolation unit 11, a motor control unit 12, a control data feature amount calculation unit 15, an image reading unit 5, and an image feature amount. It has the calculation part 6, the collation part 8, the process defect specific | specification part 13, the cause specific | specification part 14, and the display part 9. FIG.

  The program command reading unit 3 inputs the read machining program 2 to the interpolation unit 11 and the program feature value calculation unit 4. The interpolation unit 11 interpolates the command position of the machining tool indicated by the read machining program 2 for each block, and inputs the command position after the interpolation to the motor control unit 12 and the control data feature value calculation unit 15. The motor control unit 12 controls a transport device for moving the processing tool or the table to which the processing target is attached based on the command position after interpolation. When the transfer device moves the position of the processing tool or the processing target, the relative position between the processing tool and the processing target changes, and the processing target is processed by the processing tool. The motor control unit 12 inputs a feedback position indicating a position where the machining tool or the table is actually moved to the control data feature amount calculation unit 15 based on the commanded position after interpolation. The command position and the feedback position after interpolation are also called control data.

The program feature value calculation unit 4 calculates a program feature value 41 from the machining program 2 and inputs the calculated program feature value 41 to the verification unit 8. Control data feature quantity calculator 15, the input from the control data including the command position and feedback position after the interpolation, a control data parameter value determination unit that determines the control data feature amount, the control data feature quantity in the collation unit 8 To do. Control data feature values include command position after interpolation, feedback position, actual feed speed, which is the moving speed of the machining tool, machining tool movement direction, pitch error correction amount, servo motor error correction amount, machining modal information, ideal passing Speed, curvature, radius of curvature, etc.

  In addition to the program feature amount 41 and the image feature amount 40, the control data feature amount is input to the matching unit 8. The collation unit 8 collates the program feature quantity 41 and the image feature quantity 40, similarly collates the image feature quantity 40 and the control data feature quantity, and processes the part to be processed and the part in the image data 24. The control data to be associated is made to correspond. The cause identifying unit 14 identifies the cause of the processing failure based on the image feature 40 and the control data feature. Specifically, the cause identifying unit 14 identifies the control data feature amount associated with the defective machining portion as the control data feature amount that causes the defective machining. The cause identifying unit 14 may further analyze the control data feature quantity associated with the machining defect portion to narrow down the control data feature quantity causing the machining defect. For example, the cause identification unit 14 compares the actual feed speed, which is the moving speed of the machining tool, with the ideal passing speed, and confirms whether or not the actual feeding speed exceeds the ideal passing speed. In addition, the cause identification unit 14 compares the control data feature amount associated with the machining failure portion with the control data feature amount associated with other than the machining failure portion, and shows a control that shows a tendency different from that other than the machining failure portion. A data feature amount may be specified. The cause identifying unit 14 outputs the control data feature quantity identified as the cause of the machining failure as machining failure factor data. The cause identifying unit 14 can also analyze a countermeasure for eliminating the processing failure based on the processing failure factor data. When the actual feed speed is too high, which is the cause of the machining failure, the cause identifying unit 14 can output the machining condition of reducing the feed speed of the machining tool as a measure for eliminating the machining failure.

  The display unit 9 can further display a display screen indicating the cause of the processing failure, a display screen indicating a measure for eliminating the processing failure, and the like. FIG. 9 is a diagram showing a display screen 42 that displays the cause of the processing failure displayed by the display unit 9 shown in FIG. The display screen 42 shows the actual feed speed superimposed on the image data 24. A solid line arrow 43 indicates that the actual feed speed is faster than a predetermined threshold, and a broken line arrow 44 indicates that the actual feed speed is slower than a predetermined threshold. The display unit 9 may present a measure for eliminating the processing failure on the display screen 42. For example, when the chatter mark is generated in the defective processing portion, the display unit 9 presents as a countermeasure to change the spindle rotation speed. The display unit 9 can project and display the control data feature amount on the image data 24 in accordance with the photographing angle of the image data 24 with respect to the processing object.

  FIG. 10 is a flowchart showing the operation of the information processing apparatus 10 shown in FIG. Note that the information processing apparatus 10 performs the operation illustrated in FIG. 10 in addition to the operation illustrated in FIG. 7.

  The control data feature quantity calculation unit 15 calculates the feature quantity of the control data (step S30). The collation unit 8 collates the control data feature quantity and the image feature quantity 40, and determines whether or not the control data feature quantity and the image feature quantity 40 match (step S31). When the control data feature quantity and the image feature quantity 40 do not match (step S31: No), the collation unit 8 changes the comparison range of the control data feature quantity (step S32) and repeats the process of step S31. When the control data feature amount and the image feature amount 40 match (step S31: Yes), the cause identifying unit 14 identifies the cause of the processing failure, generates processing failure factor data, and generates the generated processing failure factor data. Is output (step S33). The display unit 9 presents a machining defect countermeasure from the machining defect factor data output by the cause identifying unit 14 (step S34).

  As described above, according to the information processing apparatus 10 according to the second exemplary embodiment of the present invention, in addition to the effects achieved by the information processing apparatus 1 according to the first exemplary embodiment, control data that causes processing defects is identified. It becomes possible to do. It may take time to determine how to modify the machining program 2 simply by specifying a portion in which an operation for machining a portion that has become a machining defect in the machining program 2 is specified. In the second embodiment, it is possible to specify the state of the control data when the processing failure occurs and how the control data can be resolved. It is possible to further reduce the time taken to eliminate the defect.

Embodiment 3 FIG.
FIG. 11 is a diagram showing a configuration of the information processing apparatus 100 according to the third embodiment of the present invention. The information processing apparatus 100 includes an image position calculation unit 7 in addition to the configuration of the information processing apparatus 10 according to the second embodiment.

  The image position calculation unit 7 is a processing target of the image data 24 such as the mounting position of the imaging device from the imaging device that captured the image data 24, the rotation angle of the table or processing tool to which the processing target is fixed, the focal length at the time of image capturing, etc. Information for specifying a position in an object is acquired. The image position calculation unit 7 calculates the position of the entire processing object shown in the image data 24 based on the acquired information.

  FIG. 12 is a diagram illustrating variations in the positional relationship between the imaging device 53 that captures the image data 24 processed by the information processing apparatus 100 illustrated in FIG. 11 and the processing target. The first case 50 shows a case where the imaging device 53 is installed at fixed coordinates. After the processing, the processing object is stored in the viewing angle of the imaging device 53, and the processing surface of the processing object is photographed. In this case, since the position of the image pickup device 53 is fixed, it is possible to calculate the position of the processing object when the image is taken. The second case 51 shows a case where the imaging device 53 is attached to the main shaft 54 to which the processing tool is attached. Since the image pickup device 53 moves with the main shaft 54, the information processing apparatus 100 can calculate the position of the image pickup device 53. The image position calculation unit 7 can calculate the coordinate system of the image data 24 based on the focal length from the camera position to the processing surface, the mounting angle of the imaging device 53, and the mounting position. Here, the object to be processed is fixed, and when the main shaft 54 to which the processing tool is attached moves, the conveying device that moves the main shaft 54 is such that the image pickup machine 53 and the processing object are shorter than the shortest focal distance. The movement of the main shaft 54 can be restricted so as not to approach. In this case, it is possible to avoid a collision between the image pickup device 53 and the processing target object, and it is possible to avoid a situation where the image pickup device 53 and the processing target object are too close to be able to focus and image. is there.

  A third case 52 shown in FIG. 12 shows a case where the image data 24 is captured using an imaging device 53 that is not fixed. When shooting manually, it is possible to shoot at a free position and angle. For example, the built-in GPS data and the initial camera position can be set, and the position and angle at the time of shooting can be grasped by a built-in acceleration sensor, gyro sensor, or the like. The image position calculation unit 7 can calculate the coordinate system of the processing surface of the processing target based on the position, angle, and focal length at the time of shooting. Although FIG. 12 shows a mixed tilt configuration, the mechanical configuration to which the present invention can be applied, such as a table tilt, a tool tilt, and a three-axis mechanism, is not limited.

  Although not shown in the figure, not only the image position is calculated from the position of the image pickup device 53 but also an object whose coordinates and scale are known with respect to the photographed image, for example, an object which describes the coordinate direction or the coordinates or scale such as a ruler. May be taken together with the processed surface of the processing object. Since the size and line-of-sight direction of the photographed machining surface can be known from the coordinate system and scale reflected in the image data 24, the machining program 2 and the feature quantity of the machining surface can be matched more accurately.

  FIG. 13 is a diagram illustrating a hardware configuration of the information processing apparatuses 1, 10, and 100 according to the first to third embodiments of the present invention. The memory 61 is a storage unit that stores a computer program executed by the processor 62 and data generated during the execution of the computer program. The memory 61 is a RAM (Random Access Memory), a ROM (Read Only Memory), a nonvolatile or volatile semiconductor memory such as a flash memory, a magnetic disk, or the like. The processor 62 is a processing circuit that reads and executes a computer program stored in the memory 61. The processor 62 is a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, a microcomputer, a DSP (Digital Signal Processor), or the like. The display device 63 is a liquid crystal display device, an organic EL (Electro-Luminescence) display device, or the like.

  The function of the display unit 9 can be realized by the processor 62 reading out and executing the computer program stored in the memory 61 and controlling the display device 63. Program command reading unit 3, program feature amount calculating unit 4, image reading unit 5, image feature amount calculating unit 6, collating unit 8, processing defect specifying unit 13, interpolation unit 11, motor control unit 12, control data feature amount calculating unit 15. The functions of the cause identification unit 14 and the image position calculation unit 7 can be realized by the processor 62 reading out and executing the computer program stored in the memory 61.

  The configuration described in the above embodiment shows an example of the contents of the present invention, and can be combined with another known technique, and can be combined with other configurations without departing from the gist of the present invention. It is also possible to omit or change the part.

  1, 10, 100 Information processing device, 2 machining program, 3 program command reading unit, 4 program feature amount calculating unit, 5 image reading unit, 6 image feature amount calculating unit, 7 image position calculating unit, 8 collating unit, 9 display 11, 11 interpolation unit, 12 motor control unit, 13 machining defect identification unit, 14 cause identification unit, 15 control data feature amount calculation unit, 24 image data, 31 machining program block of machining defect identification part, 32 edge of machining object , 33 Edge of machining shape, 34 Edge of machining defect part, 35 Command position, 36 Defect identification part, 40 Image feature quantity, 41 Program feature quantity, 42 Display screen, 43 Solid line arrow, 44 Broken line arrow, 50 1 case, 51 second case, 52 third case, 53 imaging device, 54 spindle, 61 memory, 62 pro Tsu support, 63 display device.

Claims (11)

Program features calculated from a processing program for identifying a processing defect portion of the processing target based on an image feature amount calculated from image data obtained by photographing the processing target after processing, and processing the processing target A processing defect specifying unit that specifies a part describing an operation of processing the processing defect part of the processing program based on the amount and the image feature amount;
A control data feature amount determining unit for determining a control data feature amount based on control data input to a transfer device for changing a relative position between the processing object and the processing tool;
Based on the control data feature amount and the image feature amount of the processing failure portion, a cause specifying unit that specifies the control data feature amount that causes processing failure,
An information processing apparatus comprising: A program feature quantity calculation unit for analyzing the machining program and calculating the program feature quantity;
An image feature amount calculation unit for analyzing the image data and calculating the image feature amount;
A collation unit that collates the program feature quantity with the image feature quantity and associates the part of the processing object in the image data with the part of the machining program in which an operation for machining the part is described. When,
The information processing apparatus according to claim 1, further comprising:   The cause identifying unit collates the control data feature quantity and the image feature quantity, and associates the part of the processing object in the image data with the control data for processing the part. The information processing apparatus according to claim 1, wherein the control data feature amount that causes the processing failure is specified.   The said cause specific | specification part narrows down the said control data feature-value which becomes the generation | occurrence | production cause of the said processing defect from the several types of said control-data feature-value matched with the said processing defect part. 3. The information processing apparatus according to 3.   The cause identifying unit, based on a result of comparison between the control data feature amount associated with the defective processing portion and the control data feature amount associated with a portion other than the defective processing portion, The information processing apparatus according to claim 4, wherein the control data feature amount that causes the occurrence of an error is narrowed down. The cause specifying unit calculates a processing condition for eliminating the processing defect based on the control data feature amount, and generates the control data for eliminating the processing defect from the processing condition. The information processing apparatus according to any one of claims 1 to 5 . A display unit that displays at least one of a screen in which the image feature amount and the position information of the processing defect portion are superimposed on the image data, or a screen in which the position information of the processing defect portion is superimposed on the program feature amount;
The information processing apparatus according to any one of claims 1 6, further comprising a. The display unit is a control data input to a transport device for changing the relative position when the program feature value or the processing program is executed in accordance with a photographing angle of the image data with respect to the processing object. The information processing apparatus according to claim 7 , wherein a control data feature amount that is a feature amount of the image data is projected onto the image data and displayed. Based on the position information and the focal length information of the imaging unit for capturing the image data, according to claim 1 to 8, further comprising an image position calculation unit for specifying a position in the processing object of the image data The information processing apparatus according to any one of claims. An information processing device is a method for identifying a processing defect of a processing object,
Obtaining a program feature value calculated from a machining program for machining the workpiece;
Obtaining an image feature amount calculated from image data obtained by photographing the processed object after processing;
Identifying a processing defect portion of the processing object based on the image feature amount; and
Identifying a portion describing an operation of processing the defective processing portion of the processing program based on the program feature amount and the image feature amount;
Determining a control data feature amount based on control data input to a transfer device for changing the relative position between the processing object and the processing tool;
Identifying the control data feature amount that causes processing failure based on the control data feature amount and the image feature amount of the processing failure portion;
A method for identifying a processing defect, characterized by comprising: Further comprising obtaining the image data;
Wherein when shooting image data, the distance between the workpiece and the imaging unit for capturing the image data, to claim 10, characterized in that it is limited to be longer than the focal length of the imaging device The processing defect identification method described.

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