JP6716446B2 - Machining program analysis device, machining program analysis program and machining program analysis method - Google Patents

Description

The present invention relates to a machining program analysis device, a machining program analysis program, and a machining program analysis method for analyzing a machining program for numerically controlling a machine tool.

Conventionally, when a machine tool is numerically controlled to machine a free-form surface, as shown in FIG. 38, a machining program including point sequence data (command point sequence) of command points dividing a tool path into minute line segments is used. Has been done. This machining program is generated by a CAD/CAM device that has both a CAD (Computer-Aided Design: Computer Aided Design) function and a CAM (Computer Aided Manufacturing: Computer Aided Manufacturing) function as the machining contents have become complicated in recent years. Often.

However, it is known that, depending on the performance of the CAD/CAM device, the command point sequences of the generated machining program are not uniform as shown in FIG. When a work is machined by a machining program including such a non-uniform instruction point sequence, an error occurs in the tool path, and there is a problem that marks such as scratches and lines remain on the machined surface.

As an analysis of the quality of the machining program, problems, etc., for example, in Japanese Patent Laid-Open No. 2004-21954, for each minute line segment of the tool locus of the machining program, positive, negative, or A tool locus display method is disclosed in which 0 is determined and a minute line segment or an end point of the minute line segment is displayed with different display attributes for each tilt (Patent Document 1).

JP 2004-21954 A

However, the command point sequence included in the machining program is merely the position coordinates for each command point. Therefore, in Patent Document 1, although the degree of unevenness on the tool path with respect to any one specific axis can be identified, there is a problem that other useful information cannot be directly obtained from the machining program.

For example, if it is possible to analyze information about what kind of machining surface the workpiece machined by the machining program has, and whether or not each command point is not aligned in the positional relationship with the surrounding command points including the adjacent tool path. It is considered that it will contribute to the improvement of the quality of the processed surface. However, conventionally, there is a problem that the above-described information cannot be directly acquired from a machining program that does not include information other than the position coordinates, and only limited analysis can be performed.

The present invention has been made to solve such a problem, and is a machining program analysis device, a machining program analysis program and a machining program analysis program that can directly obtain useful information from a machining program and perform various analyzes. It is intended to provide a machining program analysis method.

In order to achieve the above object, the device according to the present invention comprises
A machining program analyzing apparatus for analyzing a machining program itself for machining a workpiece by numerically controlling a machine tool, and editing the machining program,
A physical quantity calculation unit that calculates a predetermined physical quantity using the position coordinates of one or a plurality of command points for each command point that constitutes the command point sequence of the machining program ;
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
Have.

Ａ_ｉ＝Ｐ_ｉ＋１−２Ｐ_ｉ＋Ｐ_ｉ−１ ・・・式（４）
Ｊ_ｉ＝Ｐ_ｉ＋１−３Ｐ_ｉ＋３Ｐ_ｉ−１−Ｐ_ｉ−２ ・・・式（５）

ただし、各符号は以下を表す。
ｉ：指令点番号
Ｐ_ｉ：第ｉ番目の指令点の位置座標
Ｖ_ｉ：第ｉ番目の指令点の移動量
θ_ｉ：第ｉ番目の指令点の角度
ρ_ｉ：第ｉ番目の指令点の曲率半径
ｃ_１：Ｐ_ｉ、Ｐ_ｉ＋１間の移動を示す曲線を近似したｎ次多項式の１次の項の係数
ｃ_２：Ｐ_ｉ、Ｐ_ｉ＋１間の移動を示す曲線を近似したｎ次多項式の２次の項の係数
Ａ_ｉ；第ｉ番目の指令点の移動量変化量
Ｊ_ｉ；第ｉ番目の指令点の移動量変化量の変化量
ｋ_ｉ；第ｉ番目の指令点の移動量の比率 In order to achieve the above object, another device according to the present invention is
A physical quantity calculation unit that calculates a predetermined physical quantity using the position coordinates of one or a plurality of command points for each command point that constitutes the command point sequence of the machining program;
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
Equipped with
The predetermined physical quantity is defined by the movement amount defined by the following formula (1), the angle defined by the following formula (2), the radius of curvature defined by the following formula (3), and the following formula (4). movement amount change amount, the following formula (5) defined in the movement amount change amount of variation, or the following formula (6) Ru der any proportion of the movement amount that is defined by the machining program analyzing device;
_{V i = P i + 1 -P} i-1 ··· formula (1)

A _i =P _i+1 −2P _i +P _i−1 ...Equation (4)
J _i =P _i+1 −3P _i +3P _i−1 −P _i−2 Equation (5)

However, each code represents the following.
i: command point number P _i : position coordinate of i-th command point V _i : movement amount of i-th command point θ _i : angle of i-th command point ρ _i : i-th command point the radius of curvature _{c 1: P i, P i} + 1 of the n-th order polynomial approximating the curve representing the movement between the first-order coefficient of the term c _{2: P i,} n-th order polynomial approximating the curve representing the movement between _{P i + 1} Coefficient of quadratic term A _i ; change amount of movement amount of i-th command point J _i ; change amount of change amount of movement amount of i-th command point k _i ; of movement amount of i-th command point ratio

In order to achieve the above object, still another apparatus according to the present invention is
A physical quantity calculation unit that calculates a predetermined physical quantity using the position coordinates of one or a plurality of command points for each command point that constitutes the command point sequence of the machining program;
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
Equipped with
The physical quantity calculation unit, for each command point having the physical quantity classified into the same group by the physical quantity classification unit, calculates the physical quantity different from the physical quantity, the physical quantity classification unit, for the different physical quantity by performing cluster analysis, we reclassification further into a plurality of groups.

In order to achieve the above object, still another apparatus according to the present invention is
A physical quantity calculation unit that calculates a predetermined physical quantity using the position coordinates of one or a plurality of command points for each command point that constitutes the command point sequence of the machining program;
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
Equipped with
The physical quantity calculation unit calculates a plurality of different physical quantities for each command point, and the physical quantity classification unit performs a cluster analysis on a physical quantity group consisting of the plurality of physical quantities, thereby creating a plurality of physical quantity groups. It falls into.

In order to achieve the above object, the program according to the present invention is
A machining program analysis program for analyzing a machining program itself for numerically controlling a machine tool to machine a work, and editing the machining program,
For each command points constituting a command point sequence of the machining program, and the physical quantity calculation unit for calculating a predetermined physical quantity by using the position coordinates of one or more command point,
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
And make the computer work.

In order to achieve the above object, the method according to the present invention comprises
A machining program analysis method for analyzing a machining program itself for numerically controlling a machine tool to machine a work, and editing the machining program,
For each command points constituting a command point sequence of the machining program, a physical quantity calculating step of calculating a predetermined physical quantity by using the position coordinates of one or more command point,
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification step of classifying the physical quantity into a plurality of groups,
Have.

According to the present invention, useful information can be directly obtained from a machining program and various analyzes can be performed.

It is a block diagram showing one embodiment of a machining program analysis device concerning the present invention. In this embodiment, it is a figure which shows an example of the analysis result memorize|stored in the analysis result memory|storage part. It is a flow chart which shows the processing program analysis method of this embodiment. It is a figure which shows the tool path|route of the blade processing program made into the analysis object in Examples 1-5. FIG. 6 is a diagram showing a definition formula of a movement amount in the first embodiment. FIG. 7 is a diagram showing a result of calculating a movement amount in the first embodiment. FIG. 7 is a diagram showing a result of classifying the movement amount into three groups in the first embodiment. FIG. 7 is a diagram showing an analysis result of identifying a machining surface of a blade machining program based on a movement amount classification result in the first embodiment. FIG. 6 is a diagram showing a definition formula of an angle in the first embodiment. FIG. 6 is a diagram showing a result of calculating an angle in the first embodiment. 6 is a diagram showing a result of classifying angles into two groups in Example 1. FIG. FIG. 8 is a diagram showing a result of identifying a machining surface of a blade machining program based on a result of classification of angles in the first embodiment. FIG. 6 is a diagram showing a definition formula of a radius of curvature in the first embodiment. 6 is a diagram showing a result of calculating a radius of curvature in Example 1. FIG. FIG. 7 is a diagram showing a result of classifying the radii of curvature into two groups in Example 1. FIG. 9 is a diagram showing a result of identifying a machining surface of a blade machining program based on a result of classification of curvature radii in the first embodiment. FIG. 9 is a diagram showing a definition formula of a movement amount change amount in the second embodiment. FIG. 8 is a diagram showing a result of calculating a movement amount change amount in the second embodiment. FIG. 11 is a diagram showing a result of classifying the movement amount change amount into three groups in the second embodiment. FIG. 13 is a diagram showing a result of extracting non-uniform command points in the blade processing program based on the classification result of the movement amount change amount in the second embodiment. FIG. 9 is a diagram showing a definition formula of a variation amount of a movement amount variation amount in the second embodiment. FIG. 10 is a diagram showing a result of calculating a change amount of a movement amount change amount in the second embodiment. FIG. 9 is a diagram showing a result of classifying the change amounts of the movement amount change amount into three groups in the second embodiment. FIG. 12 is a diagram showing a result of extracting non-uniform command points in the blade processing program based on the classification result of the variation amount of the movement amount variation in the second embodiment. FIG. 8 is a diagram showing a definitional expression of a ratio of a movement amount in the second embodiment. FIG. 9 is a diagram showing a result of calculating a ratio of a movement amount in the second embodiment. FIG. 11 is a diagram showing a result of classifying the ratio of the movement amount into two groups in the second embodiment. FIG. 10 is a diagram showing a result of extracting non-uniform command points in the blade processing program based on the classification result of the movement amount ratio in the second embodiment. FIG. 16 is a diagram showing a result of extracting irregular points based on a movement amount change amount after identifying a processed surface according to the movement amount in the third embodiment. FIG. 16 is a diagram showing a result of extracting non-uniform command points in a blade processing program only by a movement amount change amount as a comparative example of the third embodiment. FIG. 16 is a diagram showing the result of calculating the position and the movement amount in the fourth embodiment. FIG. 16 is a diagram showing a result of identifying a machined surface in a blade machining program by combining the position and the movement amount in the fourth embodiment. FIG. 16 is a diagram showing the position coordinates of command points in the fifth embodiment. FIG. 16 is a diagram showing the position coordinates of the machine in the fifth embodiment. FIG. 16 is a diagram showing a classification result regarding the movement amount of the command point when the movement amount of the command point and the movement amount of the machine are classified into four groups in the fifth embodiment. FIG. 16 is a diagram showing a classification result regarding the movement amount of the machine when the movement amount of the command point and the movement amount of the machine are classified into four groups in the fifth embodiment. FIG. 13 is a diagram showing a result of identifying a machining surface of a blade machining program using a movement amount of a command point and a movement amount of a machine in a fifth embodiment. It is a figure which shows the command point which comprises the command point sequence of a machining program, and its edge path. It is a figure which shows the tool path|route of the machining program in which the non-uniform command point arose.

An embodiment of a machining program analysis device, a machining program analysis program, and a machining program analysis method according to the present invention will be described below with reference to the drawings.

The machining program analysis device 1 of the present embodiment performs various analyzes on a machining program, and is configured by a general computer such as a personal computer, a tablet terminal or a smartphone. Specifically, as shown in FIG. 1, the machining program analysis device 1 mainly includes a display input unit 2 for inputting data and displaying an analysis result, a machining program analysis program 1a of the present embodiment, and various types. By executing the storage unit 3 that stores data and functions as a working area when the arithmetic processing unit 4 performs various processes, and the machining program analysis program 1a installed in the storage unit 3, various arithmetic processes can be performed. It is composed of the arithmetic processing means 4 for executing. Hereinafter, each component will be described in detail.

In addition, in the present embodiment, the machining program analysis device 1 is configured by a general computer, but is not limited to this configuration. For example, a machining program analysis function according to the present invention is mounted on a special computer such as a numerical control device capable of computer numerical control (CNC) or a CAD/CAM device described above, and configured as the machining program analysis device 1. You may.

The display input means 2 is composed of a touch panel or the like and has both an input function and a display function. In the present embodiment, the display input means 2 has an input function of receiving a physical quantity selection, setting of the number of groups, and the like, which will be described later, and a display function of displaying an analysis result of a machining program and the like. In the present embodiment, the display input means 2 having both a display function and an input function is used, but the present invention is not limited to this configuration, and a display means such as a liquid crystal display having only a display function, and The input means such as the keyboard and the mouse having only the input function may be separately provided.

The storage unit 3 includes a hard disk, a ROM (Read Only Memory), a RAM (Random Access Memory), a flash memory, and the like, stores various data, and is a working area when the arithmetic processing unit 4 performs various processes. It functions as. In the present embodiment, as shown in FIG. 1, the storage unit 3 has a program storage unit 31, a machining program storage unit 32, an analysis result storage unit 33, and a physical quantity definition formula storage unit 34.

A machining program analysis program 1a for controlling the machining program analysis device 1 of the present embodiment is installed in the program storage unit 31. Then, the arithmetic processing means 4 executes the machining program analysis program 1a to cause the computer as the machining program analysis device 1 to function as each component described later.

The usage form of the machining program analysis program 1a is not limited to the above configuration. For example, the processing program analysis program 1a may be stored in a computer-readable non-transitory recording medium such as a CD-ROM or a USB memory, and may be directly read from the recording medium and executed. In addition, an external server or the like may be used in a cloud computing method, an ASP (Application Service Provider) method, or the like.

The machining program storage unit 32 stores a machining program to be analyzed. In the present embodiment, the machining program is for numerically controlling various machine tools and is generated by a CAD/CAM device. The machining program also includes, as a command point sequence, the position coordinates of each command point that divides the tool path into minute line segments in association with the line numbers.

The analysis result storage unit 33 stores the analysis result of the machining program. In the present embodiment, the analysis result storage unit 33 is configured in a data table format, as shown in FIG. 2, and the command points constituting the command point sequence of the machining program are sequentially shaken along the tool path. The designated command point number, the position coordinate represented by each coordinate value of the X axis, the Y axis, and the Z axis, the physical quantity calculated by the physical quantity calculation unit 43 described later, and the physical quantity classification unit 45 described later. The group number and the group number are stored.

In the example shown in FIG. 2, a movement amount V _i (=P _i+1 −P _i−1 ) described later in the first embodiment is stored as one of the physical amounts. The position coordinates used for calculating the physical quantity are not limited to the linear axes (X, Y, Z), but may be the rotational axes (A, B, C) or the linear axes (X, Y, Z). And a rotation axis (A, B, C) may be combined. Further, since the movement amount V _i in FIG. 2 is a physical amount calculated using the position coordinates of the command points before and after, the physical amounts are not calculated for the command points at the beginning and the end of the command point sequence, and are classified into groups. It never happens.

The physical quantity definition formula storage unit 34 stores a definition formula for calculating a predetermined physical quantity used for analysis of a machining program. In the present invention, the physical quantity is a concept that expresses the properties of a physical system and includes all quantities whose measurement method and size unit are defined. Further, as the definitional expression according to the present invention, a physical quantity calculated using the position coordinates of one or a plurality of command points is defined for each command point forming the command point sequence of the machining program.

Specifically, as the predetermined physical quantity, a physical quantity such as a movement amount, an angle, a radius of curvature, a movement amount change amount, a movement amount change amount change amount, or a movement amount ratio is used as described later in Examples 1 to 5. It can be used. Then, as a definitional expression for calculating the physical quantity, definitional expressions such as the following expressions (1) to (6) are stored in the physical quantity definitional expression storage unit 34 in association with the physical quantity. In the physical quantity definition formula storage unit 34, an arbitrary physical quantity and its definition formula can be set via the display input means 2.

Next, the arithmetic processing means 4 is composed of a CPU (Central Processing Unit) and the like, and by executing the machining program analysis program 1a installed in the storage means 3, as shown in FIG. It functions as a unit 41, a physical quantity selection unit 42, a physical quantity calculation unit 43, a group number setting unit 44, a physical quantity classification unit 45, and an analysis result output unit 46. Hereinafter, each component of the arithmetic processing means 4 will be described in more detail.

The command point acquisition unit 41 acquires command points from the machining program. In the present embodiment, the command point acquisition unit 41 reads the machining program from the machining program storage unit 32, acquires the position coordinates of each command point forming the command point sequence of the machining program, and stores it in the analysis result storage unit 33. It is designed to be stored sequentially.

The physical quantity selection unit 42 selects one or two or more physical quantities used for analysis of the machining program. In the present embodiment, when the physical quantity selection unit 42 receives a selection of a desired physical quantity from the various physical quantities prepared in advance in the physical quantity definition formula storage unit 34 via the display input unit 2, the physical quantity selection unit 42 selects the desired physical quantity. The physical quantity type is provided to the physical quantity calculation unit 43. Further, in the present embodiment, the physical quantity selection unit 42 is configured to select two or more physical quantities when analyzing a plurality of different physical quantities in parallel, as described later.

Note that the physical quantity selection unit 42 is not limited to the above configuration, and may be configured to select a predetermined physical quantity in advance by default. Further, if the physical quantity to be used is always fixed, there is no need to provide the physical quantity selection unit 42.

The physical quantity calculation unit 43 calculates a physical quantity for each command point. In the present embodiment, the physical quantity calculation unit 43 reads out the position coordinates of each command point acquired by the command point acquisition unit 41 from the analysis result storage unit 33, and also defines the physical quantity selected by the physical quantity selection unit 42. From the physical quantity definition formula storage unit 34. Then, the physical quantity calculation unit 43 calculates the physical quantity for each command point using the position coordinates of one or more command points based on the read definitional expression, and stores it in the analysis result storage unit 33. There is.

Further, in the present embodiment, the machining program stored in the machining program storage unit 32 is a machining program for a multi-axis machine that controls the operation of a multi-axis machine having at least two linear axes and at least one rotary axis. In some cases, the physical quantity calculation unit 43 has a function of calculating the physical quantity using the position coordinates of the machine position corresponding to each command point. Details will be described later in Example 5.

The group number setting unit 44 sets the number of groups (the number of clusters) when performing the cluster analysis of the physical quantity of each command point. In the present embodiment, when the number of groups setting section 44 receives an input of a desired number of groups via the display inputting means 2, the number of input groups is set in the physical quantity classifying section 45. The optimum number of groups differs depending on the physical quantity used for analysis, the shape of the work, and the like. Therefore, in this embodiment, the number of groups can be appropriately changed until a desired analysis result is obtained.

The physical quantity classification unit 45 classifies the physical quantity into a plurality of groups by performing cluster analysis on the physical quantity of each command point. In the present invention, the cluster analysis corresponds to so-called non-hierarchical cluster analysis. Specifically, a method of grouping into a predetermined number of groups by previously defining the number of groups to be classified, classifying those having similar characteristics into the same group, and classifying different groups into different groups Is.

Therefore, in the present embodiment, the physical quantity classification unit 45 reads the physical quantity of each command point calculated by the physical quantity calculation unit 43 from the analysis result storage unit 33 so that the number of groups is set by the group number setting unit 44. , The physical quantity of each command point is analyzed by cluster and classified. Then, the physical quantity classification unit 45 stores the group number obtained as the classification result in the analysis result storage unit 33 in association with the physical quantity of each command point.

The algorithm used for the cluster analysis is preferably the K-means method (K-means method) from the viewpoint of calculation time and analysis accuracy, but is not particularly limited as long as it is a method capable of grouping physical quantities. , Other clustering algorithms may be used.

Further, in the present embodiment, the physical quantity classification unit 45 further performs cluster analysis on each command point having a physical quantity classified into the same group, with respect to a physical quantity different from the physical quantity used in the previous classification. It has the function of reclassifying into multiple groups. As a result, the command point sequence is evaluated in series by a plurality of different physical quantities, so that the analysis capability is improved. Details will be described later in Example 3.

Further, in the present embodiment, the physical quantity classification unit 45 has a function of classifying the physical quantity group into a plurality of groups by performing cluster analysis on the physical quantity group composed of a plurality of different physical quantities calculated for each command point. Have As a result, the command point sequence is evaluated in parallel by a plurality of different physical quantities, so that the analysis capability is improved. Details will be described later in Example 4.

The analysis result output unit 46 outputs the classification result by the physical quantity classification unit 45 as the analysis result of the machining program. In the present embodiment, the analysis result output unit 46 is configured to display the plot of each command point in a manner in which the group classified by the physical quantity classification unit 45 can be identified. Specifically, the analysis result output unit 46 reads out the position coordinates and group number of each command point from the analysis result storage unit 33, and for each group having a different group number, mutually distinguishable colors and shapes, or combinations thereof, and the like. The display mode of is set. Then, the analysis result output unit 46 causes the display input means 2 to display the plot point in the set display mode at the position corresponding to the position coordinate of each command point.

As a method of displaying the analysis result, plot points corresponding to each command point may be displayed three-dimensionally in the XYZ space, or may be displayed two-dimensionally on the XY plane or the like. Further, in the present embodiment, the analysis result output unit 46 displays the analysis result on the display input means 2, but the present invention is not limited to this configuration, and if the output format can be understood by the user, the analysis result can be analyzed. The results may be printed on paper and output. Furthermore, in the present embodiment, the analysis result is output to be provided to the user, but the analysis result may be configured to be stored in the analysis result storage unit 33. In this case, the analysis result output unit 46 is used. There is no need to provide it.

Next, the operation of the machining program analysis device 1, the machining program analysis program 1a, and the machining program analysis method of this embodiment will be described with reference to FIG.

First, as a pre-stage of analyzing a machining program by the machining program analysis apparatus 1 of the present embodiment, the machining program to be analyzed is stored in the machining program storage unit 32, and various definitions are stored in the physical quantity definition formula storage unit 34. Remember the formula. As a result, the preparation for analyzing the machining program is completed.

When the above preparation is completed, first, as shown in FIG. 3, the command point acquisition unit 41 acquires command points that form a command point sequence from the machining program in the machining program storage unit 32 (step S1). Thus, as shown in FIG. 2, the position coordinates of each command point are stored in the analysis result storage unit 33.

Next, when the physical quantity selection unit 42 selects one or two or more physical quantities in accordance with the operator's selection operation via the display input unit 2 (step S2), the physical quantity calculation unit 43 makes a step for each command point. The physical quantity selected in S2 is calculated (step S3). As a result, as shown in FIG. 2, one physical quantity or two or more physical quantity groups for each command point is stored in the analysis result storage unit 33.

Subsequently, when the number-of-groups setting unit 44 sets the number of groups for classifying the physical quantity (group) calculated in step S3 into a plurality of groups (step S4), the physical quantity classifying unit 45 causes the physical quantity (group) concerned. A physical quantity (group) is classified into a plurality of groups by performing cluster analysis on (step S5). As a result, as shown in FIG. 2, command points having similar physical quantities (groups) are given the same group number, and command points having dissimilar physical quantities are given different group numbers. Based on this classification result, useful information is directly obtained from the machining program and various analyzes can be performed.

Then, the analysis result output unit 46 displays the plot of each command point in a manner in which the classified groups can be identified (step S6). As a result, command points having similar properties are collectively displayed according to the type of physical quantity, and command points having dissimilar properties are displayed in a different manner. Therefore, for example, when a movement amount, an angle, a radius of curvature, or the like, which will be described later in the first embodiment, is used as a physical quantity, processing is performed by a command point group classified into the same group as illustrated in FIGS. 8, 12, and 16. The machining surface of the workpiece to be machined is identified by the program.

Further, when the movement amount change amount, the change amount of the movement amount change amount, the ratio of the movement amount, and the like, which will be described later in the second embodiment, are used as physical quantities, they are classified into the same group as shown in FIGS. 20, 24, and 28. Since the command points of different groups appear irregularly and discontinuously in the generated command point group, the command points are extracted as non-uniform command points in the positional relationship with the surrounding command points. Furthermore, when two or more physical quantities are selected in step S2, the dimension of the physical quantity is increased, as described later in the fourth embodiment, so that the analysis accuracy is improved.

If it is necessary to change the number of groups based on the analysis result output in step S6 (step S7: YES), the process returns to step S4 and the group number setting unit 44 sets a new group number. As a result, the number of groups can be appropriately changed and re-analyzed according to the analysis result, and optimal analysis can be performed even with various physical quantities and complicated work shapes.

On the other hand, if it is unnecessary to change the number of groups (step S7: NO), it is determined whether or not the classified groups need to be reclassified (step S8), and if not necessary (step S8: NO). ), and this processing ends.

On the other hand, in the case of reclassifying (step S8: YES), the process returns to step S2, and the physical quantity selection unit 42 determines the physical quantity used for the previous classification according to the operator's selection operation via the display input means 2. Different physical quantities are selected (step S2). As a result, as will be described later in the third embodiment, the processing of steps S3 to S6 described above is executed again for each command point classified into the same group, so that the analysis accuracy is improved.

According to this embodiment as described above, the following effects can be obtained.
1. It is possible to obtain useful information directly from the processing program and perform various analyzes.
2. It is possible to identify what kind of processing surface the workpiece processed by the processing program has.
3. Among the command points forming the command point sequence of the machining program, it is possible to extract command points that are not aligned in the positional relationship with the surrounding command points.
4. It is possible to improve the quality of the machined surface by correcting the unnatural command points and the non-uniform command points for the identified machined surface.
5. Analysis accuracy can be improved by performing cluster analysis of different physical quantities in series or in parallel.
6. You can check and understand the analysis results at a glance.

Next, specific examples of the machining program analysis device 1, the machining program analysis program 1a and the machining program analysis method according to the present invention will be described.

In Examples 1 to 5 below, as a machining program to be analyzed, a blade machining program for cutting out a blade-shaped workpiece as shown in FIG. 4 was used by moving a tool blade in a spiral shape. Moreover, the K-means algorithm was used for cluster analysis. Further, in the following description, the machining program analysis device 1 as a main body that executes various processes may be omitted in terms of wording.

In the first embodiment, a physical quantity capable of identifying what kind of machined surface a workpiece machined by the machining program has was examined. Specifically, as a physical quantity using at least the position coordinates of the command points before and after, it is defined by the movement amount defined by the following formula (1), the angle defined by the following formula (2), and the following formula (3). The radius of curvature to be devised was devised, and the blade machining program was analyzed using each physical quantity. Hereinafter, each physical quantity will be specifically described.

(1) Movement amount In the first embodiment, as the first physical amount, as shown in FIG. 5, the movement amount V _i of the i-th command point is defined by the following equation (1).
_{V i = P i + 1 -P} i-1 ··· formula (1)
However, each code represents the following.
i: command point number P _i : position coordinate of i-th command point V _i : movement amount of i-th command point

If the above movement amount is defined in words, it can be said that it is the movement direction of the tool at the command point (it is not the speed because it does not include time). In the first embodiment, the movement amount is simply defined by the difference between the adjacent command points, but the movement amount may be averaged over several blocks, and approximate curves are obtained for three points including the preceding and following command points. The tangential direction of the approximate curve may be the movement amount (movement direction).

Next, with respect to each command point of the blade machining program, three movement amounts (Vx, Vy, Vz) corresponding to each of the XYZ axes were calculated using the above equation (1). The result is shown in FIG. The movement amount (Vx, Vy, Vz) for each axis at the i-th command point is the position coordinates (Px _i+1 , Py _i+1 , Pz _i+1 ) of the i+1-th command point and the i-1th command point. It is represented by the following equations (1-1) to (1-3) using the position coordinates (Px _i-1 , Py _i-1 , Pz _i-1 ) of the command point.
Vx _i =Px _i+1 −Px _i−1 ...Equation (1-1)
Vy _i =Py _i+1 −Py _i−1 ... Formula (1-2)
Vz _i =Pz _i+1 −Pz _i−1 ... Formula (1-3)

Then, by performing cluster analysis on the calculated movement amount, the movement amount was classified into three groups. The classification result is shown in FIG. Moreover, the analysis result output based on the said classification result is shown in FIG. The classification results and analysis results in the first embodiment and later-described second to fifth embodiments are extracted from the command points in a predetermined XY plane among the command points forming the command point sequence of the blade machining program. It is displayed.

As shown in FIG. 7, as a result of classifying the distribution of the movement amount into three groups, a first group (circle mark) distributed near the origin and a second group (triangle mark) distributed in the first quadrant, It was classified into the third group (marked with X) distributed in the third quadrant. Then, as a result of displaying the plot points in a manner in which the classified groups can be identified at the positions corresponding to the position coordinates of the respective command points, as shown in FIG. 8, as the processing surface of the blade processing program, the edge surface (○ The mark), the blade front surface (x mark), and the blade back surface (triangle mark) were clearly distinguished.

ただし、各符号は以下を表す。
ｉ：指令点番号
Ｐ_ｉ：第ｉ番目の指令点の位置座標
θ_ｉ：第ｉ番目の指令点の角度 (2) Angle In the first embodiment, as the second physical quantity, as shown in FIG. 9, the angle θ _i of the i-th command point is defined by the following equation (2).

However, each code represents the following.
i: command point number P _i : position coordinate of i-th command point θ _i : angle of i-th command point

Next, for each command point of the blade machining program, the angle θ was calculated using the above equation (2). The result is shown in FIG. Then, by performing cluster analysis on the calculated angles, the angles were classified into two groups. The classification result is shown in FIG. Moreover, the analysis result output based on the said classification result is shown in FIG. The horizontal axis of the graph in FIG. 11 represents the angle θ (theta), and the vertical axis represents the frequency of the command point.

As shown in FIG. 11, as a result of classifying the angle distribution into two groups, it was classified into a first group having a diagonal line rising to the right and a second group having a diagonal line descending to the right. Then, as a result of displaying the plot points in a manner in which the classified groups can be identified at the positions corresponding to the position coordinates of the respective command points, as shown in FIG. 12, as the processing surface of the blade processing program, the edge surface (○ The mark) and the front and back surfaces of the blade (marked with Δ) were clearly identified.

ただし、各符号は以下を表す。
ｉ ：指令点番号
ｃ_ｉ：係数
ｕ ：媒介変数
Ｃ（ｕ）：Ｐ_ｉ、Ｐ_ｉ＋１間の移動を示す曲線を近似したｎ次多項式 (3) Radius of Curvature When defining the radius of curvature that is the third physical quantity, first, as shown in FIG. 13, four command points P _i−1 , P _i , which constitute the command point sequence of the machining program, Based on P _i+1 and P _i+2 , a curve showing the movement between P _i and P _i+1 was approximated by an nth-order polynomial (n: any natural number) shown in the following equation.

However, each code represents the following.
i: command point number c _i : coefficient u: parameter C(u): n-th order polynomial approximating a curve indicating movement between P _i and P _i+1

なお、上記式（３）は、図１３に示すように、Ｃ（０）の一階微分の２乗をＣ（０）の二階微分で除算した値として定義されるものである。また、上記係数ｃ_ｉは、最小二乗法等の回帰分析によって算出される。さらに、上記近似式は任意の次数でよいが、本実施例３では、３次近似式（ｎ＝３）であるＣ（ｕ）＝ｃ_３ｕ^３＋ｃ_２ｕ^２＋ｃ_１ｕ＋ｃ_０を使用した。 Then, the radius of curvature ρi at the i-th command point is defined by the following equation (3).

Note that the above equation (3) is defined as a value obtained by dividing the square of the first derivative of C(0) by the second derivative of C(0), as shown in FIG. The coefficient c _i is calculated by regression analysis such as the least square method. Further, the approximate expression may be any order, but in the third embodiment, using ^{_{C (u) = c 3 u}} 3 + c 2 u 2 + c 1 u + c 0 is a third-order approximate expression (n = 3) ..

Next, for each command point of the blade processing program, the radius of curvature ρ was calculated using the above equation (3). The result is shown in FIG. Then, the radius of curvature was classified into two groups by performing cluster analysis on the calculated radius of curvature. The classification result is shown in FIG. Moreover, the analysis result output based on the said classification result is shown in FIG. The horizontal axis of the graph in FIG. 15 represents the radius of curvature (radius), and the vertical axis represents the frequency of the command point (frequency).

As shown in FIG. 15, as a result of classifying the distributions of the curvature radii into two groups, the groups were classified into a first group with diagonal lines rising to the right and a second group with diagonal lines descending to the right. Then, as a result of displaying the plot points in a manner in which the classified groups can be identified at the positions corresponding to the position coordinates of the respective command points, as shown in FIG. 16, as the processing surface of the blade processing program, the edge surface (○ The mark) and the front and back surfaces of the blade (marked with Δ) were clearly identified.

As described above, according to the first embodiment, by using the movement amount, the angle, or the radius of curvature defined by the above formulas (1) to (3) as the physical amount, each command forming the command point sequence of the machining program. It has been shown that it is possible to identify which machining surface of the workpiece machined by the machining program the point belongs to.

In the second embodiment, among the command points that form the command point sequence of the machining program, the physical quantity that can extract the command points that are not aligned in the positional relationship with the surrounding command points was examined. Specifically, as the physical quantity using at least the position coordinates of the front and rear command points, the movement amount change amount defined by the following formula (4), the movement amount change amount defined by the following formula (5), and The ratio of the movement amount defined by the following formula (6) was devised, and the above-mentioned blade machining program was analyzed using each physical amount. Hereinafter, each physical quantity will be specifically described.

(4) Movement amount change amount In the second embodiment, as the fourth physical amount, as shown in FIG. 17, the movement amount change amount A _i of the i-th command point is defined by the following equation (4).
A _i =P _i+1 −2P _i +P _i−1 ...Equation (4)
However, each code represents the following.
i: command point number P _i : position coordinate of i-th command point A _i ; movement amount change amount of i-th command point

Next, with respect to each command point of the blade machining program, three movement amount change amounts (Ax, Ay, Az) corresponding to the XYZ axes were calculated using the above equation (4). The result is shown in FIG. The movement amount change amount (Ax, Ay, Az) for each axis at the i-th command point is calculated by using the position coordinates (Px _i+1 , Py _i+1 , Pz _i+1 ) of the i+1-th command point and the i-th command point. Using the position coordinates (Px _i , Py _i , Pz _i ) of the command point and the position coordinates (Px _i-1 , Py _i-1 , Pz _i-1 ) of the i-1th command point, the following formula ( It is represented by 4-1) to (4-3).
Ax _i =Px _i+1 −2Px _i +Px _i−1 ...Equation (4-1)
Ay _i =Py _i+1 −2Py _i +Py _i−1 ... Formula (4-2)
_{Az i = Pz i + 1 -2Pz} i + Pz i-1 ··· formula (4-3)

Then, by performing cluster analysis on the calculated movement amount change amount, the movement amount change amount was classified into three groups. The classification result is shown in FIG. Moreover, the analysis result output based on the said classification result is shown in FIG.

As shown in FIG. 19, as a result of classifying the distribution of the movement amount change amount into three groups, the first group (circle mark) distributed near the origin and the second group (marked Δ) distributed in the first quadrant. And the third group (marked with X) distributed in the third quadrant. Then, as a result of displaying the plot points in a manner in which the classified groups can be identified at the positions corresponding to the position coordinates of the respective command points, as shown in FIG. 20, as shown in FIG. The command points of the second group (marked with Δ) and the third group (marked with ×) were scattered irregularly and discontinuously, and were clearly extracted as non-uniform command points.

(5) Change amount of change amount of movement amount In the second embodiment, as the fifth physical amount, as shown in FIG. 21, the change amount J _i of the change amount of movement amount of the i-th command point is expressed by the following formula ( 5).
J _i =P _i+1 −3P _i +3P _i−1 −P _i−2 Equation (5)
However, each code represents the following.
i: command point number P _i : position coordinate of i-th command point J _i ; amount of change in movement amount of i-th command point

Next, with respect to each command point of the blade machining program, the change amounts (Jx, Jy, Jz) of the three movement amount change amounts corresponding to the XYZ axes were calculated using the above equation (5). The result is shown in FIG. The change amount (Jx, Jy, Jz) of the movement amount change amount for each axis at the i-th command point is determined by the position coordinates (Px _i+1 , Py _i+1 , Pz _i+1 ) of the i+1-th command point, Position coordinates (Px _i , Py _i , Pz _i ) of the i-th command point, position coordinates (Px _i-1 , Py _i-1 , Pz _i-1 ) of the i-1 th command point, and the i-th It is represented by the following equations (5-1) to (5-3) using the position coordinates (Px _i-2 , Py _i-2 , Pz _i-2 ) of the −2nd command point.
Jx _i =Px _i+1 −3Px _i +3Px _i−1 −Px _i−2 Equation (5-1)
Jy _i =Py _i+1 -3Py _i +3Py _i-1 -Py _i-2 ... Formula (5-2)
Jz _i =Pz _i+1 -3Pz _i +3Pz _i-1 -Pz _i-2 ... Formula (5-3)

Then, by performing cluster analysis on the calculated change amount of the change amount of the movement amount, the change amount of the change amount of the movement amount was classified into three groups. The classification result is shown in FIG. Moreover, the analysis result output based on the said classification result is shown in FIG.

As shown in FIG. 23, as a result of classifying the distribution of the change amount of the movement amount change into three groups, a first group (circle mark) distributed near the origin and a second group (distributed in the first quadrant) (Marked with Δ) and a third group (marked with ×) distributed in the third quadrant. Then, as a result of displaying the plot points in a manner in which the classified groups can be identified at the positions corresponding to the position coordinates of the respective command points, as shown in FIG. 24, as shown in FIG. The command points of the second group (marked with Δ) and the third group (marked with ×) were scattered irregularly and discontinuously, and were clearly extracted as non-uniform command points.

ただし、各符号は以下を表す。
ｉ：指令点番号
Ｐ_ｉ：第ｉ番目の指令点の位置座標
ｋ_ｉ；第ｉ番目の指令点の移動量の比率 (6) Movement amount ratio In the second embodiment, as the sixth physical amount, as shown in FIG. 25, the movement amount ratio k _i of the i-th command point is defined by the following equation (6).

However, each code represents the following.
i: command point number P _i : position coordinate of i-th command point k _i ; ratio of movement amount of i-th command point

Next, for each command point of the blade machining program, the moving amount ratio k was calculated using the above equation (6). The result is shown in FIG. Then, by performing cluster analysis on the calculated transfer amount ratio, the transfer amount ratio was classified into two groups. The classification result is shown in FIG. 28 shows the analysis result output based on the classification result. Note that the horizontal axis of the graph in FIG. 27 represents the movement amount ratio (ratio), and the vertical axis represents the frequency of the command point (frequency).

As shown in FIG. 27, as a result of classifying the distribution of the movement amount ratio into two groups, the distribution was classified into a first group having a diagonal line rising to the right and a second group having a diagonal line descending to the right. Then, as a result of displaying the plot points in a manner in which the classified groups can be identified at the positions corresponding to the position coordinates of the respective command points, as shown in FIG. 28, as shown in FIG. The command points of the first group (marked with Δ) were scattered irregularly and discontinuously, and were clearly extracted as non-uniform command points.

As described above, according to the second embodiment, by using the movement amount change amount, the change amount of the movement amount change amount, or the movement amount ratio defined by the above formulas (4) to (6) as the physical quantity, It was shown that out of the command points that make up the command point sequence of the program, the command points that are not aligned in the positional relationship with the surrounding command points can be extracted. In addition, according to Examples 1 and 2, it was shown that various analysis results can be obtained by appropriately selecting the physical quantity.

Since the command point moves on the tool path at regular time intervals, if the above-mentioned movement amount is divided by time, it corresponds to the speed. In this case, it can be said that the movement amount change amount, which is the difference in the movement amount, corresponds to acceleration, and the change amount of the movement amount change amount, which is the difference in the movement amount change amount, corresponds to jerk (jerk). Therefore, if analysis is performed using the movement amount change amount, an abnormal point of acceleration in the machining program is extracted as a non-uniform command point, and if analysis is performed using the movement amount change amount change amount, the jerk abnormality in the machining program is detected. The points are extracted as non-uniform command points.

In Example 3, the influence on the analysis result when cluster analysis was performed by combining different physical quantities in series was examined. It should be noted that the term “serially” means that each of the groups classified into the same group by a predetermined physical quantity is further grouped by using a physical quantity different from the physical quantity.

Specifically, first, similarly to Example 1, the movement amount was calculated for each command point of the blade machining program, and cluster analysis was performed to classify the groups into three groups (edge surface, blade surface, blade back surface). Then, for each command point classified into one of the three groups (plane), the movement amount change amount is calculated, and the cluster analysis is performed to further add three groups (○, △, It was classified into (X mark). FIG. 29 shows the result of extracting the non-uniform command points based on the classification result.

On the other hand, as a comparative example, for the same command point sequence analyzed in FIG. 29, as in the second embodiment, non-uniform command points are extracted using only the movement amount change amount. The result is shown in FIG. As shown in FIG. 29, in the third embodiment in which the non-uniform command points are extracted only in one of the machined surfaces, the non-uniform command points (Δ mark, × mark) not extracted in the comparative example shown in FIG. 30. It can be seen that a large number of are extracted and the extraction accuracy is improved. In consideration of the properties of physical quantities, it is presumed that similar effects can be obtained by combining other physical quantities.

As described above, according to the third embodiment, it is shown that the analysis accuracy is improved by combining different physical quantities in series and performing cluster analysis.

In the present Example 4, the influence on the analysis result when cluster analysis was performed by combining different physical quantities in parallel was examined. It should be noted that parallel means to perform grouping using a physical quantity group that is made higher-dimensional by a plurality of different physical quantities.

Specifically, first, for each command point of the blade machining program, a six-dimensional physical quantity group (Px, Py, Pz, Vx, Vy, Vz) including position coordinates and movement amounts was calculated. The result is shown in FIG. Then, cluster analysis was performed on the six-dimensional physical quantity group (Px, Py, Pz, Vx, Vy, Vz), and classification was made into four groups (○ mark, Δ mark, × mark, ◇ mark). The result of identifying the processed surface based on the classification result is shown in FIG.

As shown in FIG. 32, in the fourth embodiment in which the machined surface is identified by the physical quantity that has been increased in dimension, the left edge surface (circle) and the right edge surface that cannot be distinguished in FIG. It was distinguished from the edge surface (marked with X), and the identification accuracy was improved. In consideration of the properties of physical quantities, it is presumed that similar effects can be obtained by combining other physical quantities.

As described above, according to the fourth embodiment, it is shown that the analysis accuracy is improved by performing the cluster analysis by combining different physical quantities in parallel. It was also shown that the position coordinates (Px, Py, Pz) of the command point for which the physical quantity is to be calculated can also be used as the physical quantity.

In the fifth embodiment, it was verified whether the machining program for a multi-axis machining machine can be applied as an analysis target. The machining program for a multi-axis machine controls the operation of a multi-axis machine having at least two linear axes and at least one rotary axis. In addition, in the fifth embodiment, a machining program for a 5-axis machining machine is used as a machining program for a multi-axis machining machine.

When performing processing with a multi-axis machine, it is common to perform processing using a numerical control function called tool tip point control. The tool tip point control is a function of controlling the blade tip to always move along the commanded path according to the change in the attitude of the tool. For this reason, the position coordinates of the actual position of each axis (hereinafter referred to as the machine position) forming the multi-axis machine differs from the position coordinates of the command points forming the command point sequence of the machining program.

In view of this, in the fifth embodiment, first, the position coordinates of each command point forming the command point sequence of the blade machining program and the position coordinates of the actual machine position corresponding to each command point are prepared. The position coordinates of these command points and the machine position are shown in FIGS. 33 and 34, respectively.

Next, the movement amount Vp _{i of} the i-th command point and the actual movement amount Vm _i of the machine corresponding to the command point are defined by the following equations (7) and (8), respectively, and each movement amount is calculated. did.
_{Vp i = Pp i + 1 -Pp} i-1 ··· formula (7)
Vm _i =Pm _i+1 −Pm _i−1 ...Equation (8)
However, each code represents the following.
i: command point number Pp _i : position coordinate of i-th command point Vp _i : movement amount of i-th command point Pm _i : position coordinate of i-th machine position Vm _i : i-th machine position Amount of movement

Subsequently, by performing cluster analysis on the calculated 6-dimensional physical quantity group (Vpx, Vpy, Vpz, Vmx, Vmy, Vmz), the physical quantity group is divided into four groups (○ mark, Δ mark, × mark, ◇). Among the classification results, the result regarding the movement amount of the command point is shown in FIG. 35, and the result regarding the movement amount of the machine is shown in FIG.

Then, based on the above classification result, as a result of displaying the plot points in the position corresponding to the position coordinates of each command point in a manner in which the classified group can be identified, as shown in FIG. 37, the machining of the blade machining program is performed. As the surfaces, the blade front surface (∘ mark), the blade back surface (Δ mark), the right side of each edge surface (∘ mark), and the left side of each edge surface (x mark) were clearly identified. In consideration of the properties of physical quantities, it is presumed that similar effects can be obtained by combining other physical quantities.

As described above, according to the fifth embodiment, it is shown that the machining program analysis device 1, the machining program analysis program 1a, and the machining program analysis method according to the present invention can be applied to a machining program for a multi-axis machine as an analysis target. It was It was also shown that the physical quantity calculated using the position coordinates of the machine position converted from the position coordinates of the command point can be used.

The machining program analysis device 1, the machining program analysis program 1a, and the machining program analysis method according to the present invention are not limited to the above-described embodiments and examples, and can be modified as appropriate.

For example, in the above-described embodiment, the physical quantity defined by the above equations (1) to (6) is exemplified as the physical quantity calculated using at least the position coordinates of the command points before and after, but the present invention is not limited thereto. However, the physical quantity of each command point may be calculated using the position coordinates of one or more command points. Specifically, as described above in the fourth embodiment, the position coordinates of a command point itself, the processing reaction force calculated for the command point, and the like are calculated using the position coordinates of one command point. Physical quantities may be used. Further, as described in the fifth embodiment, the physical quantity may be calculated using the position coordinates of the machine position converted from the position coordinates of the command point. Further, as the command points used for calculating the physical quantity, not only the command points and command points before and after the command points, but also command points which are not adjacent to the command points may be dispersedly used.

Further, in each of the above-described embodiments, the blade machining program and the machining program for the 5-axis machining machine are analyzed, but the machining programs for machining the work of other shapes and the machining programs for other multi-axis machining machines. Can be similarly analyzed.

In addition, in the above-described Examples 3 to 5, two different types of physical quantities are combined and analyzed in series or in parallel, but the combination of physical quantities is not limited to the combination in each Example. Three or more different physical quantities may be combined in series or in parallel for analysis.

1 Machining Program Analyzing Device 1a Machining Program Analyzing Program 2 Display Input Means 3 Storage Means 4 Arithmetic Processing Means 31 Program Storage Section 32 Machining Program Storage Section 33 Analysis Result Storage Section 34 Physical Quantity Definition Formula Storage Section 41 Command Point Acquisition Section 42 Physical Quantity Selection Section 43 physical quantity calculation unit 44 group number setting unit 45 physical quantity classification unit 46 analysis result output unit

Claims (8)

A machining program analyzing apparatus for analyzing a machining program itself for machining a workpiece by numerically controlling a machine tool, and editing the machining program,
For each command points constituting a command point sequence of the machining program, and the physical quantity calculation unit for calculating a predetermined physical quantity by using the position coordinates of one or more command point,
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
A machining program analysis device having. A physical quantity calculation unit that calculates a predetermined physical quantity using the position coordinates of one or a plurality of command points for each command point that constitutes the command point sequence of the machining program;
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
Equipped with
The predetermined physical quantity is defined by the movement amount defined by the following formula (1), the angle defined by the following formula (2), the radius of curvature defined by the following formula (3), and the following formula (4). movement amount change amount, the following formula (5) defined in the movement amount change amount of variation, or the following formula (6) Ru der any proportion of the movement amount that is defined by the machining program analyzing device;
_{V i = P i + 1 -P} i-1 ··· formula (1)

_{A i = P i + 1 -2P} i + P i-1 ··· formula (4)
J _i =P _i+1 −3P _i +3P _i−1 −P _i-2 ... Expression (5)

However, each code represents the following.
i: command point number P _i : position coordinate of i-th command point V _i : movement amount of i-th command point θ _i : angle of i-th command point ρ _i : i-th command point Curvature radius c ₁ : The coefficient of the first-order term of the polynomial of degree n that approximates the curve showing the movement between P _i and P _i+1 c ₂ : The coefficient of the polynomial of degree n that approximates the curve showing the movement between P _i and P _i+1 Coefficient of quadratic term A _i ; change amount of movement amount of i-th command point J _i ; change amount of change amount of movement amount of i-th command point k _i ; of movement amount of i-th command point ratio A physical quantity calculation unit that calculates a predetermined physical quantity using the position coordinates of one or a plurality of command points for each command point that constitutes the command point sequence of the machining program;
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
Equipped with
The physical quantity calculation unit, for each command point having the physical quantity classified into the same group by the physical quantity classification unit, calculates the physical quantity different from the physical quantity, the physical quantity classification unit, for the different physical quantity by performing cluster analysis, further reclassification into a plurality of groups machining program analyzing device. A physical quantity calculation unit that calculates a predetermined physical quantity using the position coordinates of one or a plurality of command points for each command point that constitutes the command point sequence of the machining program;
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
Equipped with
The physical quantity calculation unit calculates a plurality of different physical quantities for each command point, and the physical quantity classification unit performs a cluster analysis on a physical quantity group consisting of the plurality of physical quantities, thereby creating a plurality of physical quantity groups. It falls into the machining program analyzer. When the machining program is a machining program for a multi-axis machining machine that controls the operation of a multi-axis machining machine having at least two linear axes and at least one rotation axis, the physical quantity calculation unit corresponds to each of the command points. The machining program analysis device according to any one of claims 1 to 4, which has a function of calculating the physical quantity by using the position coordinates of the machine position. The machining program analysis device according to claim 1, further comprising an analysis result output unit that outputs a plot of each of the command points in a manner in which the group classified by the physical quantity classification unit can be identified. A machining program analysis program for analyzing a machining program itself for numerically controlling a machine tool to machine a work, and editing the machining program,
For each command points constituting a command point sequence of the machining program, and the physical quantity calculation unit for calculating a predetermined physical quantity by using the position coordinates of one or more command point,
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification unit that classifies the physical quantity into a plurality of groups,
Machining program analysis program that causes the computer to function. A machining program analysis method for analyzing a machining program itself for numerically controlling a machine tool to machine a work, and editing the machining program,
For each command points constituting a command point sequence of the machining program, a physical quantity calculating step of calculating a predetermined physical quantity by using the position coordinates of one or more command point,
By performing a cluster analysis on the physical quantity of each command point, a physical quantity classification step of classifying the physical quantity into a plurality of groups,
And a machining program analysis method.

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