JP2021135771A - Processing system and processing result managing method for processor - Google Patents

Abstract

To provide a processing system for managing for part unit, a processing result of a processor using a processing program, regardless of presence/absence of a dedicated code, and a processing result managing method of a processor.SOLUTION: A processing system 1 comprises: an NC unit 60; a CAM 80; and a laser processor 50. A pattern data generating part 82 of the CAM 80 generates pattern data in which a cut locus for cutting a workpiece W by a laser processor 50, is drawn, on the basis of a processing program, and then, on the basis of the pattern data, recognizes each of a plurality of parts produced by the processing program. A code analyzing part 83 generates analysis data in which the part and the code of the processing program are associated. A processing control part 61 of the NC unit 60 executes the processing program for controlling the laser processor 50. A result managing part 62 manages a processing result of the laser processor 50, on the basis of transit of an execution line of the processing program executed by the processing control part 61, and the analysis data.SELECTED DRAWING: Figure 1

Description

The present invention relates to a processing system and a processing performance management method of a processing machine.

A processing system having a processing machine for cutting a plate-shaped work (sheet metal) and producing a part having a predetermined shape is widely used. An example of a processing machine is a laser processing machine that cuts a workpiece with a laser beam. The machining system further includes a control device such as an NC device, which controls the laser machine based on the machining program. In the machining program, a plurality of codes, which are control commands for controlling the machining machine, are described in line units.

For example, Patent Document 1 discloses a device that collects processing results such as energy consumption of a processing machine for each part when a processing machine operating according to a processing program processes various or a large number of parts from a work. There is. This device is equipped with a measuring unit that reads a machining program and measures the energy consumption of the machining machine. In the multi-line code described in the machining program, a measurement code for instructing the start or stop of measurement by the measuring unit is described at a position where the part to be machined is switched.

Japanese Unexamined Patent Publication No. 2012-11322

However, the method disclosed in Patent Document 1 has an inconvenience that the machining results cannot be managed for a machining program in which a dedicated measurement code is not described.

The present invention has been made in view of the above problems, and an object of the present invention is to be able to manage the machining results of a machining machine on a part-by-part basis by using a machining program regardless of the presence or absence of a dedicated code. It is to provide a processing record management method of a system and a processing machine.

According to the first aspect of one or more embodiments, in a machining system having a machining machine for cutting a workpiece to produce a plurality of parts, a plurality of codes defining the operation of the machining machine are described line by line. Based on the machined processing program, the machiner recognizes the figure data generator that generates the figure data that draws the cutting locus that cuts the workpiece, and the multiple parts created by the machining program based on the figure data. , A code analysis unit that generates analysis data that associates each of a plurality of parts with a code that corresponds to the production of the part in the processing program, a processing control unit that executes the processing program and controls the processing machine, and processing. A machining system having a performance management unit that manages the machining results of the machining machine for each part based on the transition of the execution line of the machining program executed by the control unit and the analysis data is provided.

According to the second aspect of the first or higher embodiment, it is a processing record management method of a processing machine that manages the processing results of a processing machine that cuts a work to produce a plurality of parts, and a computer performs processing. Based on a machining program in which multiple codes that define the operation of the machine are described in line units, graphic data is generated by drawing the cutting trajectory that the machining machine cuts the workpiece, and it is created by the machining program based on the graphic data. It recognizes each of the multiple parts to be processed, generates analysis data that associates each of the multiple parts with the code corresponding to the production of the parts in the machining program, and converts the transition of the execution line of the machining program and the analysis data into Based on this, a processing performance management method for a processing machine that manages the processing performance of the processing machine is provided for each part.

According to one or more embodiments, the machining results of the machining machine can be managed on a part-by-part basis by using a machining program regardless of the presence or absence of a dedicated code.

FIG. 1 is a block diagram illustrating an overall configuration of a laser processing system according to the first embodiment. FIG. 2 is a schematic view showing the configuration of a laser processing machine. FIG. 3 is a flowchart showing the procedure of the processing record management method of the laser processing machine according to the first embodiment. FIG. 4 is an explanatory diagram showing the contents of a nesting program which is an example of a machining program. FIG. 5 is an explanatory diagram showing a cutting locus in which a laser machine cuts a workpiece. FIG. 6 is an explanatory diagram showing graphic data corresponding to each of the three parts. FIG. 7 is an explanatory diagram showing a correspondence relationship between the three parts and the cord. FIG. 8 is an explanatory diagram showing analysis data. FIG. 9 is an explanatory diagram showing a result list for collecting processing results. FIG. 10 is an explanatory diagram showing one form of an intermediate list. FIG. 11 is an explanatory diagram showing one form of an intermediate list. FIG. 12 is a diagram for explaining machining record data showing machining results. FIG. 13 is an explanatory diagram showing the contents of a multi-cavity program which is an example of a machining program. FIG. 14 is an explanatory diagram showing a state of three parts actually manufactured from the work. FIG. 15 is an explanatory diagram showing graphic data corresponding to each of the two parts. FIG. 16 is an explanatory diagram showing a correspondence relationship between the two parts and the cord. FIG. 17 is an explanatory diagram showing analysis data. FIG. 18 is an explanatory diagram showing a result list for collecting processing results. FIG. 19 is an explanatory diagram showing one form of an intermediate list. FIG. 20 is an explanatory diagram showing one form of an intermediate list. FIG. 21 is a diagram for explaining machining record data showing machining results.

(First Embodiment)
Hereinafter, the processing results management method of the processing system and the processing machine according to the present embodiment will be described. First, the overall configuration of the processing system 1 will be described with reference to FIG. The processing system 1 has a laser processing machine 50.

As shown in FIG. 2, the laser processing machine 50 includes a laser oscillator 10, a process fiber 12, a laser processing unit 20, and an assist gas supply device 40. The laser oscillator 10, the process fiber 12, the laser processing unit 20, and the assist gas supply device 40 constitute the laser processing machine 50.

The laser oscillator 10 generates and emits a laser beam. As the laser oscillator 10, a laser oscillator that amplifies the excitation light emitted from the laser diode and emits a laser beam having a predetermined wavelength, or a laser oscillator that directly uses the laser beam emitted from the laser diode is preferable. The laser oscillator 10 is, for example, a solid-state laser oscillator, a fiber laser oscillator, a disk laser oscillator, or a direct diode laser oscillator (DDL oscillator).

The laser oscillator 10 emits a laser beam in the 1 μm band having a wavelength of 900 nm to 1100 nm. Taking a fiber laser oscillator and a DDL oscillator as an example, the fiber laser oscillator emits a laser beam having a wavelength of 1060 nm to 1080 nm, and the DDL oscillator emits a laser beam having a wavelength of 910 nm to 950 nm.

The process fiber 12 transmits the laser beam emitted from the laser oscillator 10 to the laser processing unit 20.

The laser processing unit 20 cuts the work W by using the laser beam transmitted by the process fiber 12. The laser processing unit 20 includes a processing table 21 on which the work W is placed, a portal-shaped X-axis carriage 22, a Y-axis carriage 23, and a collimator unit 30. The X-axis carriage 22 is configured to be movable along the X-axis direction on the processing table 21. The Y-axis carriage 23 is configured to be movable on the X-axis carriage 22 along the Y-axis direction perpendicular to the X-axis.

The collimator unit 30 irradiates the work W with a laser beam transmitted by the process fiber 12. The collimator unit 30 reflects the collimator lens 31 into which the laser beam emitted from the ejection end of the process fiber 12 is incident and the laser beam emitted from the collimator lens 31 downward in the Z-axis direction perpendicular to the X-axis and the Y-axis. It has a bend mirror 33 to be made to move. Further, the collimator unit 30 has a focusing lens 34 that focuses the laser beam reflected by the bend mirror 33. The collimator lens 31, the bend mirror 33, and the focusing lens 34 are arranged in a state where the optical axis is adjusted in advance.

The collimator unit 30 has a processing head 35 that irradiates the work W with a laser beam. A nozzle 36 that emits a laser beam is detachably attached to the tip of the processing head 35. A circular opening is provided at the tip of the nozzle 36, and the laser beam focused by the focusing lens 34 is applied to the work W from the opening at the tip of the nozzle 36.

The collimator unit 30 is fixed to the Y-axis carriage 23 that is movable in the Y-axis direction, and the Y-axis carriage 23 is provided on the X-axis carriage 22 that is movable in the X-axis direction. Therefore, the processing head 35, that is, the position where the laser beam is irradiated to the work W can be moved to the surface of the work W (X-axis direction and Y-axis direction). The laser machining machine 50 may be configured to move the work W while keeping the position of the machining head 35 fixed, instead of the configuration in which the machining head 35 is moved along the surface of the work W. The laser machining machine 50 may have a configuration in which the machining head 35 is relatively moved with respect to the surface of the work W.

The assist gas supply device 40 supplies nitrogen, oxygen, a mixed gas of nitrogen and oxygen, or air as an assist gas to the processing head 35. When processing the work W, the assist gas is blown onto the work W from the opening of the nozzle 36. The assist gas discharges the molten metal within the calf width in which the work W is melted.

As described above, the laser processing machine 50 cuts the work W by the laser beam emitted from the processing head 35 to produce a part having a predetermined shape.

In FIG. 1, the processing system 1 further includes an NC device 60 and a CAM 80.

The NC device 60 is a control device that controls the laser processing machine 50. The NC device 60 is composed of a computer and has a CPU, a ROM, a RAM, and an input / output interface. The NC device 60 realizes various functions by the CPU reading various programs from the ROM, expanding them into the RAM, and executing the expanded programs.

The NC device 60 has functions as a machining control unit 61, a performance management unit 62, and a storage unit 63.

The machining control unit 61 executes a machining program to control the laser machining machine 50. In the machining program, a plurality of codes, which are control commands for controlling the laser machining machine 50, are described in line units. Each code defines the operation of the laser processing machine 50, for example, setting processing conditions, starting laser beam injection, processing feed, stopping laser beam injection, and moving the processing head 35 to the piercing position.

The performance management unit 62 measures the machining performance of the laser machining machine 50 for each part based on the analysis data acquired from the CAM 80 and the transition of the execution line of the machining program executed by the machining control unit 61. The processing results include the number of parts produced by the laser processing machine 50, the energy used by the laser processing machine 50 for producing the parts, the processing time required for the laser processing machine 50 to produce the parts, and the like. A typical example of the energy used is the amount of electric power of the laser processing machine 50. In addition to this, the energy used includes the amount of power of the laser oscillator 10, the amount of power of peripheral devices such as a dust collector, and the amount of chiller or assist gas used.

The storage unit 63 stores necessary data such as a processing program. The processing program stored in the storage unit 63 is created by an external device such as CAM80.

An input device 71 and a display device 72 are connected to the NC device 60. The input device 71 is operated by the operator of the laser processing machine 50 in order to input information to the NC device 60. The operator of the laser processing machine 50 can input various information to the NC device 60 by operating the input device 71. The display device 72 displays information. The operator of the laser processing machine 50 can grasp the information about the laser processing machine 50 and the NC device 60 from the information displayed on the display device 72.

The display device 72 is, for example, a liquid crystal panel. The input device 71 is, for example, a touch panel that is attached to a liquid crystal panel and can perform an input operation according to information displayed on the liquid crystal panel. The input device 71 may be an operation button separate from the display device 72.

The CAM 80 is a computer equipped with a CAM function. The CAM 80 is composed of a computer and has a CPU, a ROM, a RAM, and an input / output interface. The CAM 80 realizes various functions by the CPU reading various programs from the ROM, expanding them into the RAM, and executing the expanded programs.

The CAM 80 has functions as a machining program creation unit 81, a graphic data generation unit 82, and a code analysis unit 83.

For example, part data created by CAD is input to the machining program creation unit 81. The machining program creation unit 81 creates a machining program based on sheet data including sheet size, plate thickness, material, and parts data, and parts data.

The graphic data generation unit 82 generates graphic data in which the cutting locus for cutting the work W by the laser machining machine 50 is drawn based on the processing program.

The code analysis unit 83 recognizes each of the plurality of parts produced by the machining program based on the graphic data. The code analysis unit 83 generates analysis data in which each of the recognized plurality of parts is associated with the production of the parts and the corresponding code in the machining program. That is, the analysis data is associated with a code that contributes to the production of the part among a plurality of codes described in the machining program for each part.

The machining program created by the CAM 80 and the analysis data created from this machining program are associated with each other and output to the NC apparatus 60.

An input device 91 and a display device 92 are connected to the CAM 80. The input device 91 is operated by the operator of the CAM 80 in order to input information to the CAM 80. The operator of the CAM 80 can input various information to the CAM 80 by operating the input device 91. The display device 92 displays information. The operator of the CAM 80 can grasp the information processed by the CAM 80 from the information displayed on the display device 92.

The display device 92 is, for example, a liquid crystal panel. The input device 91 is, for example, a keyboard and a mouse.

Hereinafter, the processing record management method of the laser processing machine according to the present embodiment will be described with reference to FIGS. 3 to 12. In the flowchart shown in FIG. 3, the processes from steps S10 to S14 are executed by the CAM 80, and the processes from steps S16 to S22 are executed by the NC device 60.

In step S10, the graphic data generation unit 82 acquires the machining program created by the machining program creation unit 81. In FIG. 4, the machining program 100 is composed of two items 101 and 102 corresponding to "lines" and "codes". The line numbers are described in ascending order in the item 101 of the "line", and the code defining the operation of the laser processing machine 50 is described in the item 102 of the "code". In the present embodiment, the machining program 100 is composed of 51 codes described from the first line to the 51st line. Further, the machining program 100 is a nesting program for producing a plurality of parts according to nesting in which a plurality of parts are arranged with respect to the work W.

In step S11, the graphic data generation unit 82 generates graphic data in which the cutting locus for cutting the work W by the laser machining machine 50 is drawn based on the processing program 100. The processing program 100 includes a plurality of codes that define the operation of the laser processing machine 50. By analyzing the machining program 100, it is possible to draw a cutting locus when the laser machining machine 50 cuts the work W.

Hereinafter, a series of operations in which the laser processing machine 50 cuts the work W to produce the part 200 shown in FIG. 5 will be described using 20 codes from the 17th line to the 36th line shown in FIG. 4 as an example. ..

In the code on the 17th line, the machining control unit 61 reads the machining conditions. In the code on the 18th line, the machining control unit 61 moves the machining head 35 to the piercing position Rq11. In the code on the 19th line, the machining control unit 61 starts emitting a laser beam to open the pierced earrings. In the code on the 20th line, the machining control unit 61 moves the machining head 35 in a straight line and cuts from the piercing position Rq11 to the position where the inner peripheral path R1 is reached. This cutting forms an approach.

In the code on the 21st line, the machining control unit 61 moves the machining head 35 counterclockwise from the position where it reaches the inner peripheral path R1 to the cutting end position Rq12 in an arc shape to cut the inner peripheral path R1. In the code on the 22nd line, the machining control unit 61 stops the injection of the laser beam.

In the code on the 23rd line, the machining control unit 61 cancels the tool diameter correction. In the code on the 24th line, the machining control unit 61 moves the machining head 35 to the piercing position Rq21. In the code on the 25th line, the machining control unit 61 starts emitting a laser beam to open the pierced earrings. In the code on the 26th line, the machining control unit 61 moves the machining head 35 in a straight line and cuts from the piercing position Rq21 to the position where it reaches the outer peripheral path R2. This cutting forms an approach.

In each code from the 27th line to the 35th line, the machining control unit 61 moves the machining head 35 in a straight line or an arc shape from the position where the outer peripheral path R2 is reached to the cutting end position Rq22, and six pieces are used. The outer peripheral path R2 composed of the straight line and the three arcs is cut. In the code on the 36th line, the machining control unit 61 stops the injection of the laser beam.

By analyzing the code described in the machining program 100, the cutting locus of the laser machining machine 50 for cutting the work W can be recognized. The graphic data generation unit 82 generates graphic data based on the cutting locus recognized by the machining program 100. For example, as shown in FIG. 6, a cutting locus is drawn in the graphic data.

In step S12 of FIG. 3, the code analysis unit 83 recognizes each of the plurality of parts based on the graphic data. The parts recognition process will be described below.

The code analysis unit 83 identifies a continuous path composed of the cutting locus. A continuous path may be composed of one cutting locus corresponding to a single chord, or may be formed by connecting a plurality of cutting loci corresponding to a plurality of chords. Upon specifying the sequence, the code analysis unit 83 determines whether the sequence is closed, that is, whether the start point and end point of the sequence match. When the continuous path is a cycle, the code analysis unit 83 recognizes the cycle as one part.

When laser processing is performed, a space called a joint may be provided. Therefore, there are situations in which even a continuous route in which the start point and the end point do not match should be recognized as parts. The code analysis unit 83 determines whether or not the distance between the start point and the end point is a threshold value for determining a joint, for example, 1 mm or less, for a continuous route that is not a closed route. When the interval is 1 mm or less, the code analysis unit 83 determines that the continuous route is a closed route.

Further, when the second closed circuit exists inside the first closed circuit which is the closed circuit recognized as a part, the code analysis unit 83 determines that the second closed circuit is a hole. The code analysis unit 83 determines that the second closed circuit determined to be a hole and the first closed circuit are the same part. On the other hand, when the third closed circuit is further inside the second closed circuit, the code analysis unit 83 determines that the third closed circuit is a separate part.

The code analysis unit 83 analyzes the graphic data according to such a determination criterion and recognizes each of the plurality of parts. In FIG. 6, the code analysis unit 83 recognizes the part 200 arranged in the center, the part 210 arranged on the left side, and the part 220 arranged on the right side, respectively.

The code analysis unit 83 compares the sizes of the respective parts in the vertical and horizontal directions with each other. The code analysis unit 83 determines that parts having the same size in the vertical and horizontal directions are of the same type. In FIG. 6, the code analysis unit 83 determines that the part 210 arranged on the left side and the part 220 arranged on the right side are the same type.

When determining the identity of the parts, the code analysis unit 83 may make a comparison based on the shape of the parts. Further, when comparing the parts, the code analysis unit 83 may rotate one part relative to the other part.

As shown in FIG. 7, the code analysis unit 83 generates the part recognition data 110a showing the result of the part recognition. The part recognition data 110a is data composed of four items 111 to 114 corresponding to a "row", a "part name", a "part number", and a "last row flag". The item 111 of the "row" indicates the line number of the machining program 100, and the item 112 of the "part name" indicates the name of the part given for each type of part. Item 113 of "part number" indicates a number for distinguishing parts of the same type, and item 114 of "last line flag" is whether or not it is the last line in a series of codes corresponding to the production of parts. Indicates.

The code analysis unit 83 specifies a series of codes used for manufacturing the parts for each part based on the result of the parts recognition. The part 200 shown in FIG. 6 is recognized from the codes from the 17th line to the 36th line of the machining program 100 of FIG. Therefore, the code analysis unit 83 specifies the code from the 17th line to the 36th line as a series of codes used for manufacturing the part 200. Similarly, the part 210 shown in FIG. 6 is recognized from the codes in the 5th to 15th lines of FIG. 4, and the part 220 shown in FIG. 6 is recognized from the codes in the 38th to 47th lines of FIG. Be recognized. Therefore, in the code analysis unit 83, the code from the 5th line to the 15th line is used for the production of the part 210, and the code from the 38th line to the 47th line is used for the production of the part 220. Identify as code.

The code analysis unit 83 describes the information of the part 210 for the item 111 of the “line” in the range from the 5th line to the 15th line. Specifically, the code analysis unit 83 describes "Parts001" in the item 112 of the "part name". The code analysis unit 83 describes “1” indicating that it is the first part of “Parts001” in the item 113 of the “part number”. Further, the code analysis unit 83 is used for item 114 of the "last line flag", "0" indicating that it is not the last line in the series of codes used for manufacturing the part 210, or for manufacturing the part 210. Describe "1" indicating that it is the last line in the series of code.

Similarly, the code analysis unit 83 describes the information of the part 200 for the item 111 of the “line” in the range from the 17th line to the 36th line. Further, the code analysis unit 83 describes the information of the part 220 for the item 111 of the “line” in the range from the 38th line to the 47th line. In the lines that do not contribute to the production of any of the parts 200, 210, and 220, that is, the 16th line, the 37th line, and the 48th line, "-1" is described in the item 114 of the "last line flag". ing.

In step S13 of FIG. 3, the code analysis unit 83 generates the analysis data 110b shown in FIG. 8 based on the part recognition data 110a. The code analysis unit 83 reads the data described in the part recognition data 110a from top to bottom. The code analysis unit 83 extracts the line in which the part name has changed and the line in which the last line flag has changed, and generates analysis data 110b from the extracted data.

In the example shown in FIG. 8, the analysis data 110b is composed of the data of the 5th line, the 15th line, the 17th line, the 36th line, the 38th line, and the 47th line of the part recognition data 110a. As described above, the analysis data 110b corresponds to the data in which each of the plurality of parts is associated with the code corresponding to the production of the parts in the machining program 100. In other words, the analysis data 110b is data in which the first line and the last line in a series of codes used for manufacturing the parts are associated with each part.

In step S16 of FIG. 3, the machining control unit 61 acquires the machining program 100. In addition, the performance management unit 62 acquires the analysis data 110b.

In step S17, the performance management unit 62 determines whether or not the machining control unit 61 has started machining. When the machining control unit 61 executes the machining program 100 and starts machining, a positive determination is made in step S17, and the process proceeds to step S18. On the other hand, if the machining control unit 61 has not started machining, a negative determination is made in step S17, and the process returns to step S17.

In step S18, the performance management unit 62 acquires from the machining control unit 61 the line currently being executed by the machining control unit 61 among the plurality of codes described in the machining program 100, that is, the execution line.

In step S19, the performance management unit 62 generates the performance list 130a shown in FIG.

The achievement list 130a is composed of seven items 131 to 137 corresponding to "row", "part name", "part number", "execution row", "last row flag", "cumulative energy", and "elapsed time". It is the data that has been created. Item 134 of the “execution line” indicates the execution line acquired in step S18. Item 136 of "cumulative energy" indicates the cumulative value of energy used by the laser machining machine 50 after starting machining according to the machining program 100. Item 137 of "elapsed time" indicates the elapsed time from the start of machining according to the machining program 100.

Specifically, the performance management unit 62 compares the execution line with the minimum line number described in item 111 of the analysis data 110b. When it is determined that the execution line has reached the minimum line number, the performance management unit 62 reads the data corresponding to the minimum line number from the analysis data 110b, and reads the "row", "part name", and "part name" of the performance list 130a. Describe each item 131 to 133 and 135 of "part number" and "last line flag", respectively. Further, the performance management unit 62 describes the execution line acquired in step S18 in the item 134 of the “execution line”.

The machining control unit 61 measures the physical quantity indicating the state of the laser machining machine 50, the cumulative energy in the present embodiment, and the elapsed time, starting from the timing at which the execution of the machining program 100 is started. The performance management unit 62 acquires the cumulative energy and the elapsed time from the machining control unit 61, and describes the acquired cumulative energy and the elapsed time in each item 136 and 137 of the “cumulative energy” and the “elapsed time”, respectively.

Depending on the machining speed of the laser machining machine 50, when the performance management unit 62 acquires the execution row from the machining control unit 61, the execution row passes through the row described in the item 111 of the analysis data 110b. There are times when. In this case, the achievement list 130a is generated at the timing when the execution line is actually acquired.

In step S20 of FIG. 3, the performance management unit 62 determines whether or not the machining control unit 61 has completed machining. An example of the end of machining is a situation in which the machining control unit 61 finishes machining by executing the machining program 100 to the last line. In addition to this, the machining end includes a situation in which the machining is terminated before the final line of the machining program 100 is executed by the operator operating the reset button or detecting a machining abnormality. When the machining control unit 61 finishes machining, an affirmative determination is made in step S20, and the process proceeds to step S21.

On the other hand, if the machining control unit 61 has not completed machining, a negative determination is made in step S20, and the process returns to step S18. Then, the execution line acquired in step S18 is compared with the next largest line number among the line numbers described in the item 111 of the analysis data 110b. Then, when the execution line reaches the line number of the analysis data 110b, or the execution line exceeds the line number of the analysis data 110b, the performance management unit 62 generates the performance list 130a. Then, the performance management unit 62 generates the performance list 130a until the machining control unit 61 finishes the machining or until the maximum line number described in the item 111 of the analysis data 110b is reached.

In the analysis data 110b, the first line and the last line in the series of code used for manufacturing the parts are associated with each part. Therefore, by repeating the processes from step S18 to step S20, the performance management unit 62 measures the cumulative energy and the elapsed time for each part at the timing of executing the first line and the last line of the code.

In step S21, the performance management unit 62 generates processing performance data indicating the processing performance of the laser machining machine 50. Hereinafter, a method of generating machining record data will be described.

The performance management unit 62 calculates the machining performance for each part based on the performance list 130a. The performance management unit 62 calculates the energy used for manufacturing the parts by subtracting the cumulative energy corresponding to the first row from the cumulative energy corresponding to the last row for each part. Similarly, the performance management unit 62 calculates the machining time used by the laser machining machine 50 to manufacture the parts by subtracting the elapsed time corresponding to the first row from the elapsed time corresponding to the last row for each part. .. The performance management unit 62 rewrites the performance list 130a to the intermediate list 130b shown in FIG. 10 based on the calculation result. In the intermediate list 130b, items 133, 136, and 137 of "part number", "cumulative energy", and "elapsed time" are deleted from the actual list 130a, and each item 138 of "energy used" and "machining time", 139 has been added.

As shown in FIG. 11, the performance management unit 62 extracts necessary items from the intermediate list 130b and sorts them by part name. Then, the performance management unit 62 extracts data having the same part name from the intermediate list 130b, and calculates the total energy consumption and the total processing time, respectively. As a result, the total energy consumption and the total processing time are required for each type of part.

Similarly, the performance management unit 62 extracts data with matching part names from the intermediate list 130b and calculates the total of the last row flags. As a result, the number of normally completed machining can be obtained for each type of part.

The performance management unit 62 generates the machining performance data 140 shown in FIG. 12 from the calculation result using the intermediate list 130b. The processing result data 140 is data composed of four items 141 to 144 corresponding to "part name", "normal end", "energy used", and "machining time". Item 142 of "normal end" indicates the number of normally completed machining. Each item 143 and 144 of "energy used" and "processing time" indicates the total amount of energy used and the total processing time, respectively.

In step S22 of FIG. 3, the performance management unit 62 displays the machining results on the display device 72 based on the machining record data 140.

As described above, in the present embodiment, the processing system 1 includes a graphic data generation unit 82, a code analysis unit 83, a processing control unit 61, and a performance management unit 62. The graphic data generation unit 82 generates graphic data in which a cutting locus for cutting the work W by the laser machining machine 50 is drawn based on the processing program 100. The code analysis unit 83 recognizes each of the plurality of parts produced by the machining program 100 based on the graphic data, and generates analysis data 110b in which the parts and the code of the machining program 100 are associated with each other. The machining control unit 61 executes the machining program 100 to control the laser machining machine 50. The performance management unit 62 manages the machining performance of the laser machining machine 50 for each part based on the transition of the execution line of the machining program 100 executed by the machining control unit 61 and the analysis data 110b.

According to this configuration, by generating graphic data from the machining program 100, it is possible to recognize each of a plurality of parts in the machining program. As a result, the code analysis unit 83 can generate analysis data 110b in which the code related to the production of the parts is associated with each part. Since the analysis data 110b can recognize the codes corresponding to each of the plurality of parts, the performance management unit 62 can compare the transition of the code executed by the machining control unit 61 with the analysis data 110b to obtain a plurality of codes. It is possible to manage the processing results for the parts of. As a result, the processing system 1 can manage the processing results of the laser processing machine 50 for each part by using the processing program 100 regardless of the presence or absence of the dedicated code.

In the present embodiment, the analysis data 110b is associated with each of the plurality of parts and the first line and the last line of the code corresponding to the production of the parts in the machining program 100.

According to this configuration, the machining system 1 can recognize the start of machining of the part and the end of machining of the part by recognizing the first line and the last line of the code corresponding to the manufacturing of the part. As a result, it is possible to manage the processing results for each part for each part.

In the present embodiment, the machining program 100 is a nesting program for producing a plurality of parts according to nesting in which a plurality of parts are arranged with respect to the work W. The performance management unit 62 manages the processing performance of the processing machine, triggered by the execution of the code associated with each of the plurality of parts.

In the nesting program, the code for creating a plurality of parts is described for each part. Therefore, by taking the execution of the code associated with each of the plurality of parts as an opportunity, it is possible to appropriately manage the processing results of the processing machine for each part.

In the present embodiment, the machining results include the number of normally completed cuttings, the total energy used by the laser machining machine 50 for machining the parts, and the total machining time required for the laser machining machine 50 to machine the parts. ..

According to this configuration, the machining results of each part can be appropriately managed.

In the present embodiment, the code analysis unit 83 identifies a continuous path formed by the cutting locus, and recognizes the continuous path as one part when the continuous path is a cycle.

In the processing by the laser processing machine 50, each part is cut off from the work W, so that the cutting locus for the part is closed (including the case where there is a joint). Therefore, the code analysis unit 83 can recognize the parts on the condition that the continuous path formed by the cutting locus is closed.

In the present embodiment, when the code analysis unit 83 has a second cycle different from the first cycle inside the first cycle, which is a cycle recognized as one part, the code analysis unit 83 makes a hole in the second cycle. It is determined that the second closed circuit is the same part as the first closed circuit. On the other hand, when the code analysis unit 83 further exists a third cycle different from the second cycle inside the second cycle, the code analysis unit 83 sets the third cycle as a part composed of the first cycle and the second cycle. Recognizes as another part.

According to this configuration, it is possible to determine the outer shape of the part and the hole provided inside the part, so that the part can be appropriately recognized. Further, even when another part is arranged inside the part by nesting, the code analysis unit 83 can appropriately recognize each part.

In the present embodiment, the code analysis unit 83 compares the recognized parts with each other based on the size or shape in the vertical and horizontal directions, and determines that the parts having the same size or shape in the vertical and horizontal directions are of the same type. ..

According to this configuration, the identity of the type can be determined by comparing the recognized parts with each other based on the size or shape in the vertical and horizontal directions. As a result, the code analysis unit 83 can not only recognize the parts individually, but also recognize the parts of the same type.

In the present embodiment, when the recognized parts are compared with each other, the code analysis unit 83 can rotate one part relative to the other part.

According to this configuration, it is possible to suppress recognition of parts of the same type arranged at different angles by nesting as different parts. This makes it possible to properly recognize the individual nested parts.

(Second Embodiment)
Hereinafter, a method for managing the processing results of the laser processing machine according to the present embodiment will be described. The method of managing the processing results of the laser processing machine according to the present embodiment is different from the method of the first embodiment in that the processing program is a multi-cavity program. Hereinafter, the differences will be mainly described.

In FIG. 13, the machining program 300 is composed of two items 301 and 302 corresponding to "lines" and "codes". The machining program 300 is a multi-cavity program for producing a large number of single parts or a plurality of parts of different types. Specifically, in the machining program 300, the code on the 21st line produces two parts 410 shown in FIG. 14 by repeating the UV macro, that is, the code from the 6th line to the 20th line a predetermined number of times. It stipulates that. Further, in the machining program 300, the plurality of codes described in the 23rd to 41st lines specify that the part 400 shown in FIG. 14 is manufactured.

The graphic data generation unit 82 generates graphic data in which the cutting locus in which the laser machining machine 50 cuts the work W is drawn based on the cutting locus recognized by the machining program 300.

The code analysis unit 83 analyzes the graphic data and recognizes each of the plurality of parts. In FIG. 15, the code analysis unit 83 recognizes two types of parts 400 and 410, respectively. The parts 410 are parts that are taken in large numbers, but this is realized by repeating the UV macro. Therefore, in the part recognition, the code analysis unit 83 recognizes only one part 410 based on the codes from the 7th line to the 19th line.

The code analysis unit 83 specifies a series of codes used for manufacturing the parts for each part based on the result of the parts recognition. The part 400 shown in FIG. 15 is recognized from the codes from the 23rd line to the 41st line of the machining program 300. Therefore, the code analysis unit 83 specifies the code from the 23rd line to the 41st line as a series of codes used for manufacturing the part 400. Similarly, the part 410 shown in FIG. 15 is recognized from the UV macro, i.e., the code on lines 7-19. Therefore, the code analysis unit 83 specifies the codes from the 7th line to the 19th line as a series of codes used for manufacturing the part 410.

As shown in FIG. 16, the code analysis unit 83 generates the part recognition data 310a showing the result of the part recognition. The part recognition data 310a is data to which the four items 31 to 314 of "row", "part name", "part number", and "last row flag" are associated with each other.

The code analysis unit 83 reads the data described in the part recognition data 310a from top to bottom. The code analysis unit 83 extracts the line in which the part name has changed and the line in which the last line flag has changed. Then, the code analysis unit 83 generates the analysis data 310b shown in FIG. 17 from the extracted data.

When the machining control unit 61 executes the machining program 100 and starts machining, the performance management unit 62 acquires an execution line from the machining control unit 61. When the execution line is a line (21 lines) for designating the execution of the UV macro, the machining control unit 61 acquires the UV macro execution line which is the line executed in the UV macro.

When the performance management unit 62 determines that the acquired execution line or UV macro execution line has reached the line described in item 311 of the analysis data 310b, the performance management unit 62 generates the performance list 330a shown in FIG.

The achievement list 330a includes "row", "part name", "part number", "execution row", "UV macro execution row", "many pieces", "last row flag", "cumulative energy", and "elapsed time". The data is associated with the seven items 331 to 339. Item 334 of the “execution line” indicates the execution line acquired in step S18, and item 335 of the “UV macro execution line” indicates the UV macro execution line acquired in step S18. Item 336 of "the number of a large number" indicates the number of times the UV macro is executed.

The performance management unit 62 describes the acquired execution line in item 334 of the “execution line”. When the execution line is a line that specifies the execution of the UV macro, the performance management unit 62 describes the acquired UV macro execution line in item 335 of the “UV macro execution line”. Further, the performance management unit 62 describes the number of times the UV macro is executed in the item 335 of "the number of a large number of pieces".

When the machining control unit 61 finishes machining, the performance management unit 62 calculates the machining record for each part based on the record list 330a. The performance management unit 62 calculates the energy used for manufacturing the parts by subtracting the cumulative energy corresponding to the first row from the cumulative energy corresponding to the last row for each part. Similarly, the performance management unit 62 calculates the machining time used by the laser machining machine 50 to manufacture the parts by subtracting the elapsed time corresponding to the first row from the elapsed time corresponding to the last row for each part. .. The performance management unit 62 rewrites the performance list 330a to the intermediate list 330b shown in FIG. 19 based on the calculation result. In the intermediate list 330b, the items 338 and 339 of "cumulative energy" and "elapsed time" are deleted from the actual list 330a, and the items 340 and 341 of "energy used" and "processing time" are added.

As shown in FIG. 20, the performance management unit 62 extracts necessary items from the intermediate list 330b and sorts them by part name. Then, the performance management unit 62 extracts data having the same part name from the intermediate list 330b, and calculates the total energy consumption and the total processing time, respectively. As a result, the total energy consumption and the total processing time are required for each type of part.

Similarly, the performance management unit 62 extracts data with matching part names from the intermediate list 130b and calculates the total of the last row flags. As a result, the number of normally completed machining can be obtained for each type of part.

The performance management unit 62 generates the machining performance data 350 shown in FIG. 21 from the calculation result using the intermediate list 330b. The processing result data 350 is data in which four items 351 to 354 corresponding to "part name", "normal end", "energy used", and "machining time" are associated with each other.

According to this embodiment, by generating graphic data from the machining program 300, it is possible to recognize each of a plurality of parts in the machining program. As a result, the code analysis unit 83 can generate analysis data 310b in which the code related to the production of the parts is associated with each part. Since the analysis data 310b can recognize the codes corresponding to each of the plurality of parts, the performance management unit 62 can compare the transition of the code executed by the machining control unit 61 with the analysis data 310b to obtain a plurality of codes. It is possible to manage the processing results for the parts of. As a result, the processing system 1 can manage the processing results of the laser processing machine 50 for each part by using the processing program 300 regardless of the presence or absence of the dedicated code.

In the present embodiment, the machining program 300 is a multi-piece picking program that picks a large number of parts from a work by repeatedly executing a macro for manufacturing the parts. The performance management unit 62 manages the processing performance of the processing machine when the macro is executed.

In the multi-cavity program, a macro for creating a multi-cavity part is described. Therefore, by using the macro execution as an opportunity, it is possible to appropriately manage the processing results of the processing machine for each part.

Although embodiments of the invention have been described above, the statements and drawings that form part of this disclosure should not be understood to limit the invention. Various alternative embodiments, examples and operational techniques will be apparent to those skilled in the art from this disclosure.

In the above-described embodiment, a laser processing system including a laser processing machine that cuts a workpiece by a laser beam has been described. However, any processing system may be used as long as it has a processing machine for cutting a work to produce parts, and the processing machine may be a turret punch press or a punch / laser compound machine.

In the embodiments described above, the processing system is configured to include a CAM. However, the processing system may have a configuration that does not include CAM. In this case, each function of the graphic data generation unit and the code analysis unit realized by the CAM may be realized by the NC device.

1 Machining system 50 Laser machining machine 60 NC device 61 Machining control unit 62 Performance management unit 63 Storage unit 80 CAM
81 Machining program creation unit 82 Graphic data generation unit 83 Code analysis unit

Claims (10)

In a processing system having a processing machine that cuts a workpiece to produce a plurality of parts
A graphic data generation unit that generates graphic data in which a cutting locus in which the processing machine cuts the work is drawn based on a processing program in which a plurality of codes defining the operation of the processing machine are described in line units.
Based on the graphic data, each of the plurality of parts produced by the processing program is recognized, and analysis data in which each of the plurality of parts is associated with a code corresponding to the production of the parts in the processing program is generated. Code analysis department and
A machining control unit that executes the machining program and controls the machining machine,
A performance management unit that manages the processing results of the processing machine for each part based on the transition of the execution line of the processing program executed by the processing control unit and the analysis data.
Processing system with. The processing system according to claim 1, wherein the analysis data is associated with each of the plurality of parts and a first line and a last line of the code corresponding to the production of the parts in the processing program. The machining program is a nesting program for producing the plurality of parts according to nesting in which the plurality of parts are respectively arranged on the work.
The performance management department
The processing system according to claim 1 or 2, which manages the processing results of the processing machine, triggered by the execution of the code associated with each of the plurality of parts. The machining program is a multi-piece picking program for picking a large number of the parts from the work by repeatedly executing a macro for manufacturing the parts.
The processing system according to claim 1 or 2, wherein the performance management unit manages the processing performance of the processing machine when the macro is executed. From claim 1, the processing results include the number of normally completed cutting, the total energy used by the processing machine for processing the part, and the total processing time required for the processing machine to process the part. The processing system according to any one of 4. The code analysis unit identifies a continuous path composed of the cutting loci, and recognizes the continuous path as one part when the continuous path is a closed path. Claims 1 to 5 The processing system according to any one of the above. When the second cycle exists inside the first cycle, which is the cycle recognized as the one part, the code analysis unit determines that the second cycle is a hole and determines the second cycle as a hole, and determines that the second cycle is a hole. Is judged to be the same part as the first closed circuit,
The processing according to claim 6, wherein when a third closed circuit is further inside the second closed circuit, the third closed circuit is recognized as a part different from the parts composed of the first and second closed circuits. system. The code analysis unit compares the recognized parts with each other based on the size or shape in the vertical and horizontal directions, and determines that the parts having the same size or shape in the vertical and horizontal directions are of the same type. The processing system according to any one of the above. The processing system according to claim 8, wherein the code analysis unit rotates one part relative to the other part when the recognized parts are compared with each other. In the processing record management method of a processing machine that manages the processing results of a processing machine that cuts a workpiece to produce multiple parts
The computer
Based on a machining program in which a plurality of codes defining the operation of the machining machine are described in line units, graphic data in which the cutting locus in which the machining machine cuts the work is drawn is generated.
Based on the graphic data, the plurality of parts produced by the machining program are recognized, respectively.
Analysis data in which each of the plurality of parts is associated with the code corresponding to the production of the parts in the machining program is generated.
A processing record management method for a processing machine that manages the processing results of the processing machine for each part based on the transition of the execution line of the processing program and the analysis data.

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