JP7454404B2 - Processing system and processing machine processing performance management method - Google Patents

Description

The present invention relates to a machining system and a machining performance management method for a machining machine.

2. Description of the Related Art Processing systems that include a processing machine that cuts a plate-shaped work (sheet metal) to produce parts of a predetermined shape are in widespread use. An example of a processing machine is a laser processing machine that cuts a workpiece using a laser beam. The processing system further includes a control device such as an NC device, and the control device controls the laser processing machine based on the processing program. In the machining program, a plurality of codes, which are control instructions for controlling the machining machine, are written line by line.

For example, Patent Document 1 discloses a device that collects processing results such as energy consumption of the processing machine for each part when a processing machine that operates according to a processing program processes various types or a large number of parts from a workpiece. There is. This device includes a measurement unit that reads a machining program and measures the energy consumption of the machining machine. In the multiple lines of code written in the machining program, a measurement code that instructs the measurement unit to start or stop measurement is written at a position where the parts to be machined are switched.

Japanese Patent Application Publication No. 2012-113522

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

The present invention has been made in view of the above problems, and its purpose is to provide a processing method that allows the processing results of a processing machine to be managed on a part-by-part basis using a processing program, regardless of the presence or absence of a dedicated code. The object of the present invention is to provide a system and a processing performance management method for processing machines.

According to a first aspect of one or more embodiments, in a processing system including a processing machine that cuts a workpiece to produce a plurality of parts, a plurality of codes defining operations of the processing machine are written in line units. A graphic data generation unit generates graphic data depicting the cutting trajectory of the processing machine to cut the workpiece based on the processed machining program, and a graphic data generation unit generates graphic data that depicts the cutting trajectory along which the processing machine cuts the workpiece. , a code analysis unit that generates analysis data that associates each of a plurality of parts with a code corresponding to the production of the part in a processing program; a processing control unit that executes the processing program and controls the processing machine; A machining system is provided that includes a performance management unit that manages machining performance of a processing machine for each part based on the transition of execution lines of a machining program executed by a control unit and analysis data.

According to a second aspect of one or more embodiments, there is provided a processing performance management method for a processing machine that manages processing performance of a processing machine that cuts a workpiece to produce a plurality of parts, the method comprising: Based on a machining program in which multiple lines of code that define machine operations are written line by line, graphic data is generated that depicts the cutting locus that the processing machine will use to cut the workpiece, and the machining program generates graphic data based on the graphic data. It recognizes each of the multiple parts being processed, generates analysis data that associates each of the multiple parts with the code that corresponds to the production of the part in the machining program, and records the transition of execution lines of the machining program and the analysis data. Based on this, a method for managing the machining results of a processing machine is provided for managing the machining results of the processing machine for each part.

According to one or more embodiments, machining programs can be used to manage the machining performance of a machining machine on a part-by-part basis, with or without dedicated code.

FIG. 1 is a block diagram illustrating the overall configuration of a laser processing system according to a first embodiment. FIG. 2 is a schematic diagram showing the configuration of a laser processing machine. FIG. 3 is a flowchart illustrating the procedure of the machining performance management method for the laser beam 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 beam machine cuts a workpiece. FIG. 6 is an explanatory diagram showing graphic data corresponding to three parts. FIG. 7 is an explanatory diagram showing the correspondence between three parts and codes. FIG. 8 is an explanatory diagram showing analysis data. FIG. 9 is an explanatory diagram showing a performance list for collecting processing results. FIG. 10 is an explanatory diagram showing one form of the intermediate list. FIG. 11 is an explanatory diagram showing one form of the intermediate list. FIG. 12 is a diagram illustrating machining performance data indicating machining performance. FIG. 13 is an explanatory diagram showing the contents of a multi-piece machining program, which is an example of a machining program. FIG. 14 is an explanatory diagram showing the states of three parts actually produced from the workpiece. FIG. 15 is an explanatory diagram showing graphic data corresponding to two parts. FIG. 16 is an explanatory diagram showing the correspondence between two parts and codes. FIG. 17 is an explanatory diagram showing analysis data. FIG. 18 is an explanatory diagram showing a performance list for collecting processing results. FIG. 19 is an explanatory diagram showing one form of the intermediate list. FIG. 20 is an explanatory diagram showing one form of the intermediate list. FIG. 21 is a diagram illustrating machining performance data indicating machining performance.

(First embodiment)
Hereinafter, a machining system and a machining performance management method of a machining machine according to the present embodiment will be described. First, the overall configuration of the processing system 1 will be explained using FIG. 1. The processing system 1 includes 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 a laser processing machine 50.

Laser oscillator 10 generates and emits a laser beam. As the laser oscillator 10, a laser oscillator that amplifies excitation light emitted from a laser diode and emits a laser beam of a predetermined wavelength, or a laser oscillator that directly uses the laser beam emitted from a laser diode is suitable. 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 with a wavelength of 900 nm to 1100 nm. Taking a fiber laser oscillator and a DDL oscillator as examples, the fiber laser oscillator emits a laser beam with a wavelength of 1060 nm to 1080 nm, and the DDL oscillator emits a laser beam with a wavelength of 910 nm to 950 nm.

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

The laser processing unit 20 cuts the work W using the laser beam transmitted by the process fiber 12. The laser processing unit 20 includes a processing table 21 on which a workpiece W is placed, a gate-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 the laser beam transmitted by the process fiber 12. The collimator unit 30 includes a collimator lens 31 into which the laser beam emitted from the exit end of the process fiber 12 is incident, and a collimator lens 31 that reflects 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 that allows Further, the collimator unit 30 includes a focusing lens 34 that focuses the laser beam reflected by the bend mirror 33. The collimator lens 31, bend mirror 33, and focusing lens 34 are arranged with their optical axes adjusted in advance.

The collimator unit 30 has a processing head 35 that irradiates the workpiece W with a laser beam. A nozzle 36 for emitting 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 irradiated onto the workpiece W from the opening at the tip of the nozzle 36.

The collimator unit 30 is fixed to a Y-axis carriage 23 that is movable in the Y-axis direction, and the Y-axis carriage 23 is provided on an X-axis carriage 22 that is movable in the X-axis direction. Therefore, the processing head 35, that is, the position at which the laser beam is irradiated onto the workpiece W, can be moved toward the surface of the workpiece W (in the X-axis direction and the Y-axis direction). Note that the laser processing machine 50 may have a configuration in which the processing head 35 is moved along the surface of the workpiece W, but the workpiece W is moved while the position of the processing head 35 is fixed. The laser processing machine 50 only needs to be configured to move the processing head 35 relative to the surface of the workpiece W.

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

As described above, the laser processing machine 50 cuts the workpiece W with the laser beam emitted from the processing head 35 to produce parts 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, ROM, RAM, and an input/output interface. The NC device 60 realizes various functions by having the CPU read various programs from the ROM, develop them in the RAM, and execute the developed programs.

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

The processing control unit 61 executes a processing program and controls the laser processing machine 50. In the machining program, a plurality of codes, which are control commands for controlling the laser beam machine 50, are written line by line. Each code defines the operations of the laser processing machine 50, such as setting processing conditions, starting laser beam emission, processing feed, stopping laser beam emission, and moving the processing head 35 to the piercing position.

The performance management unit 62 measures the machining performance of the laser processing machine 50 for each part based on the analysis data acquired from the CAM 80 and the transition of execution lines 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 to produce the parts, the processing time required by the laser processing machine 50 to produce the parts, and the like. A typical example of the energy used is the amount of 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 use of a chiller or assist gas.

The storage unit 63 stores necessary data such as machining programs. The machining program stored in the storage unit 63 is created by an external device such as the CAM 80.

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. Display device 72 displays information. The operator of the laser beam machine 50 can grasp information regarding the laser beam 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 allows input operations to be performed according to information displayed on the liquid crystal panel. The input device 71 may be an operation button separate from the display device 72.

CAM80 is a computer equipped with a CAM function. The CAM 80 is composed of a computer and has a CPU, ROM, RAM, and an input/output interface. The CAM 80 realizes various functions when the CPU reads various programs from the ROM, expands them to the RAM, and executes the expanded programs.

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

The graphic data generation unit 82 generates graphic data in which a cutting trajectory along which the laser beam machine 50 cuts the workpiece W is drawn based on the machining program.

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

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

An input device 91 and a display device 92 are connected to the CAM 80. The input device 91 is operated by an 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 . 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, with reference to FIGS. 3 to 12, a method for managing machining results of a laser beam machine according to this embodiment will be described. In the flowchart shown in FIG. 3, the processing from steps S10 to S14 is executed by the CAM 80, and the processing from steps S16 to S22 is executed by the NC device 60.

In step S10, the graphic data generation unit 82 obtains 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 "line" and "code". In the "Line" item 101, line numbers are written in ascending order, and in the "Code" item 102, a code that defines the operation of the laser processing machine 50 is written. In this embodiment, the machining program 100 is composed of 51 codes written from the 1st line to the 51st line. Further, the processing program 100 is a nesting program that produces a plurality of parts in accordance with nesting in which a plurality of parts are respectively arranged on the workpiece W.

In step S<b>11 , the graphic data generation unit 82 generates graphic data in which a cutting locus for the laser beam machine 50 to cut the workpiece W is drawn based on the machining program 100 . The machining program 100 includes multiple codes that define the operations of the laser beam machine 50. By analyzing the machining program 100, a cutting trajectory when the laser beam machine 50 cuts the workpiece W can be drawn.

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 explained 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 processing control unit 61 moves the processing head 35 to the piercing position Rq11. In the code on the 19th line, the processing control unit 61 starts emitting a laser beam to pierce the earring. In the code on the 20th line, the processing control unit 61 moves the processing head 35 linearly to cut from the piercing position Rq11 to the position reaching the inner circumferential path R1. This cut forms the approach.

In the code on the 21st line, the processing control unit 61 moves the processing head 35 counterclockwise in an arc from the position where it reaches the inner circumferential route R1 to the cutting end position Rq12, thereby cutting the inner circumferential route R1. In the code on the 22nd line, the processing control unit 61 stops emitting 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 processing control unit 61 moves the processing head 35 to the piercing position Rq21. In the code on the 25th line, the processing control unit 61 starts emitting a laser beam to pierce the earring. In the code on the 26th line, the processing control unit 61 moves the processing head 35 linearly to cut from the piercing position Rq21 to the position reaching the outer circumferential route R2. This cut forms the approach.

In each code from the 27th line to the 35th line, the processing control unit 61 moves the processing head 35 linearly or arcuately from the position where it reaches the outer circumferential path R2 to the cutting end position Rq22, and cuts 6 pieces. An outer circumferential route R2 consisting of a straight line and three circular arcs is cut. In the code on the 36th line, the processing control unit 61 stops emitting the laser beam.

By analyzing the code written in the machining program 100, the cutting trajectory along which the laser beam machine 50 cuts the workpiece W can be recognized. The graphic data generation unit 82 generates graphic data based on the cutting locus recognized from 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 explained below.

The code analysis unit 83 identifies a continuous route formed by the cutting locus. A continuous route may be composed of one cutting locus corresponding to a single code, or may be composed of a plurality of cutting loci corresponding to a plurality of codes. After specifying the continuous route, the code analysis unit 83 determines whether the continuous route is a closed path, that is, whether the starting point and the ending point of the continuous route match. If the continuous path is a cycle, the code analysis unit 83 recognizes this cycle as one part.

When performing laser processing, intervals called joints may be provided. Therefore, there are situations where even a continuous route whose starting point and ending point do not match should be recognized as a part. The code analysis unit 83 determines whether the distance between the starting point and the ending point is less than or equal to a threshold value for determining a joint, for example, 1 mm, for a continuous path that is not a closed path. If the interval is 1 mm or less, the code analysis unit 83 determines that the continuous path is a closed path.

Further, if the second closed circuit exists inside the first closed circuit that is 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, if a third closed circuit exists 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 judgment criteria and recognizes each of the plurality of parts. In FIG. 6, the code analysis unit 83 recognizes a part 200 placed in the center, a part 210 placed on the left side, and a part 220 placed on the right side.

The code analysis unit 83 mutually compares the vertical and horizontal sizes of each part. The code analysis unit 83 determines that parts having the same vertical and horizontal sizes are of the same type. In FIG. 6, the code analysis unit 83 determines that the part 210 placed on the left side and the part 220 placed on the right side are of the same type.

Note that when determining the identity of parts, the code analysis unit 83 may perform comparison based on part shapes. Furthermore, when comparing 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 parts recognition data 110a indicating the results of parts recognition. The parts recognition data 110a is data composed of four items 111 to 114 corresponding to "row", "part name", "part number", and "last row flag". The "line" item 111 indicates the line number of the machining program 100, and the "part name" item 112 indicates the name of the part given to each type of part. The "Part number" item 113 indicates a number for distinguishing between parts of the same type, and the "Last line flag" item 114 indicates whether the line is the last line in a series of codes corresponding to the production of the part. Show that.

The code analysis unit 83 identifies, for each part, a series of codes used to manufacture the part, based on the results of part recognition. The part 200 shown in FIG. 6 is recognized from the code from the 17th line to the 36th line of the machining program 100 shown in FIG. Therefore, the code analysis unit 83 identifies the codes 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 code from the 5th line to the 15th line in FIG. 4, and the part 220 shown in FIG. 6 is recognized from the code from the 38th line to the 47th line in FIG. Recognized. Therefore, the code analysis unit 83 converts the code from the 5th line to the 15th line into a series of codes used for manufacturing the part 210, and the code from the 38th line to the 47th line into a series of codes used to create the part 220. Identify as code.

The code analysis unit 83 describes the information of the part 210 in the range of the "line" item 111 from the 5th line to the 15th line. Specifically, the code analysis unit 83 writes “Parts001” in the “Parts Name” item 112. The code analysis unit 83 writes "1" in the "Parts number" item 113, indicating that it is the first part among "Parts001". In addition, the code analysis unit 83 sets the “last line flag” item 114 to “0” indicating that this is not the last line of the series of codes used for manufacturing the part 210, or sets the line to “0” indicating that the line is not the last line of the series of codes used for manufacturing the part 210, or Write "1" to indicate the last line of a series of codes.

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

In step S13 of FIG. 3, the code analysis unit 83 generates analysis data 110b shown in FIG. 8 based on the parts recognition data 110a. The code analysis unit 83 reads the data written in the parts recognition data 110a from top to bottom. The code analysis unit 83 extracts lines in which part names have changed and lines 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 data on the 5th line, the 15th line, the 17th line, the 36th line, the 38th line, and the 47th line of the parts recognition data 110a. In this way, the analysis data 110b corresponds to data in which each of a plurality of parts is associated with a code corresponding to the production of the part in the machining program 100. In other words, the analysis data 110b is data in which, for each part, the first line and last line of a series of codes used for manufacturing the part are associated.

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

In step S17, the performance management section 62 determines whether the processing control section 61 has started processing. If the machining control unit 61 executes the machining program 100 and starts machining, an affirmative 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 track record management unit 62 obtains from the processing control unit 61 the line that the processing control unit 61 is currently executing, that is, the execution line, among the plurality of codes written in the processing program 100.

In step S19, the performance management unit 62 generates the performance list 130a shown in FIG. 9.

The performance list 130a is composed of seven items 131 to 137 corresponding to "line", "part name", "part number", "execution line", "last line flag", "cumulative energy", and "elapsed time". This is the data. The "execution line" item 134 indicates the execution line acquired in step S18. The "cumulative energy" item 136 indicates the cumulative value of energy used by the laser beam machine 50 after starting machining according to the machining program 100. The "elapsed time" item 137 indicates the time that has passed since machining was started according to the machining program 100.

Specifically, the performance management unit 62 compares the executed line with the minimum line number described in the item 111 of the analysis data 110b. When determining 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 updates the performance list 130a with "row", "part name", and " Items 131 to 133 and 135 of "part number" and "last line flag" are respectively described. Furthermore, the performance management unit 62 writes the executed line acquired in step S18 in the "executed line" item 134.

The processing control unit 61 measures physical quantities indicating the state of the laser processing machine 50, in this embodiment cumulative energy and elapsed time, starting from the timing at which execution of the processing program 100 is started. The performance management unit 62 acquires the cumulative energy and elapsed time from the processing control unit 61, and writes the acquired cumulative energy and elapsed time in the “cumulative energy” and “elapsed time” items 136 and 137, respectively.

Note that depending on the processing speed of the laser processing machine 50, when the performance management unit 62 acquires the execution line from the processing control unit 61, the execution line may pass through the line described in item 111 of the analysis data 110b. There are times when I am. In this case, the performance list 130a is generated at the timing when the execution line is actually acquired.

In step S20 of FIG. 3, the performance management section 62 determines whether the processing control section 61 has finished processing. An example of termination of machining is a situation in which the machining control unit 61 terminates machining by executing the machining program 100 to the last line. In addition to this, the termination of machining also includes a situation where the machining is terminated before executing the last line of the machining program 100 by the operator operating a reset button or by detecting a machining abnormality. If the processing control unit 61 has finished the processing, 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 finished machining, a negative determination is made in step S20, and the process returns to step S18. Then, the executed line acquired in step S18 is compared with the next highest line number among the line numbers described in item 111 of 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 processing control unit 61 finishes the processing 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 last line of a series of codes used for manufacturing the part are associated with each part. Therefore, by repeating the processing from step S18 to step S20, the performance management unit 62 measures the cumulative energy and 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 processing machine 50. The method of generating machining performance data will be explained below.

The track record management unit 62 calculates the processing track record for each part based on the track record list 130a. The performance management unit 62 calculates the energy used by the laser processing machine 50 to manufacture the part 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 processing machine 50 to manufacture the part 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 into an 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 performance list 130a, and each item 138 of "energy used" and "processing time" is deleted, 139 have been added.

As shown in FIG. 11, the track record management unit 62 extracts necessary items from the intermediate list 130b and then sorts them by part name. Then, the performance management unit 62 extracts data with matching part names from the intermediate list 130b, and calculates the total amount of energy used and the total amount of machining time, respectively. As a result, the total amount of energy used and the total amount of machining time are determined 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 parts that have been successfully processed is determined for each type of part.

The track record management unit 62 generates processing track record data 140 shown in FIG. 12 from the calculation results using the intermediate list 130b. The machining performance data 140 is data composed of four items 141 to 144 corresponding to "part name", "normal completion", "energy used", and "machining time". The "normal completion" item 142 indicates the number of successful completions of machining. Items 143 and 144 of "Energy used" and "Processing time" indicate the total amount of energy used and the total amount of processing time, respectively.

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

As described above, in this embodiment, the processing system 1 includes the graphic data generation section 82, the code analysis section 83, the processing control section 61, and the performance management section 62. The graphic data generation unit 82 generates graphic data in which a cutting locus for the laser beam machine 50 to cut the workpiece W is drawn based on the machining 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 that associates the parts with the codes of the machining program 100. The processing control unit 61 executes the processing program 100 to control the laser processing machine 50. The performance management unit 62 manages the machining performance of the laser processing machine 50 for each part based on the transition of execution lines 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, each of a plurality of parts can be recognized in the machining program. Thereby, the code analysis unit 83 can generate, for each part, analysis data 110b in which codes related to the production of the part are associated. Using the analysis data 110b, it is possible to recognize codes corresponding to each of a plurality of parts, so the track record management unit 62 can identify multiple parts by comparing the transition of the code executed by the processing control unit 61 with the analysis data 110b. It is possible to manage the machining results for parts. Thereby, the machining system 1 can manage the machining results of the laser beam machine 50 for each part by using the machining program 100, regardless of the presence or absence of a dedicated code.

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

According to this configuration, the processing system 1 can recognize the start of part processing and the end of part processing by recognizing the first line and the last line of the code corresponding to part production. This makes it possible to manage the machining results for each part.

In this embodiment, the machining program 100 is a nesting program that creates a plurality of parts on a workpiece W according to nesting in which a plurality of parts are respectively arranged. The performance management unit 62 manages the machining performance of the processing machine, triggered by the execution of codes associated with each of a plurality of parts.

In the nesting program, codes for producing multiple parts are written for each part. Therefore, by using the execution of the code associated with each of a plurality of parts as a trigger, it is possible to appropriately manage the processing results of the processing machine for each part.

In this embodiment, the processing results include the number of successfully completed cuts, the total amount of energy used by the laser processing machine 50 to process the parts, and the total processing time required by the laser processing machine 50 to process 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 route formed by the cutting locus, and recognizes the continuous route as one part when the continuous route is a closed path.

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

In this embodiment, if a second cycle different from the first cycle exists inside the first cycle that is recognized as one part, the code analysis unit 83 converts the second cycle into a hole. Therefore, the second closed circuit is determined to be the same part as the first closed circuit. On the other hand, if a third cycle different from the second cycle further exists inside the second cycle, the code analysis unit 83 converts the third cycle into a part consisting of the first and second cycles. are recognized as separate parts.

According to this configuration, the outer shape of the part and the hole provided inside the part can be determined, so the part can be appropriately recognized. Further, even in a case where another part is placed inside a part due to nesting, the code analysis unit 83 can appropriately recognize each part.

In this 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 parts that have the same size or shape in the vertical and horizontal directions are of the same type. .

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

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

According to this configuration, parts of the same type arranged at different angles due to nesting can be prevented from being recognized as different parts. Thereby, individual nested parts can be appropriately recognized.

(Second embodiment)
Hereinafter, a method for managing machining results of a laser beam machine according to this embodiment will be explained. The difference between the machining performance management method of the laser beam machine according to the present embodiment and the method of the first embodiment is that the machining program is a multi-piece machining program. Below, the explanation will focus on the differences.

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

The graphic data generation unit 82 generates graphic data in which a cutting trajectory along which the laser beam machine 50 cuts the workpiece W is drawn based on the cutting trajectory recognized from the processing 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. Note that the part 410 is a part that is produced in large numbers, and this is achieved by repeating the UV macro. Therefore, in part recognition, the code analysis unit 83 recognizes only one part 410 based on the code from the 7th line to the 19th line.

The code analysis unit 83 identifies, for each part, a series of codes used to manufacture the part, based on the results of part recognition. The part 400 shown in FIG. 15 is recognized from the code from the 23rd line to the 41st line of the machining program 300. Therefore, the code analysis unit 83 identifies the codes 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, that is, the code from the 7th line to the 19th line. Therefore, the code analysis unit 83 identifies 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 parts recognition data 310a indicating the results of parts recognition. The parts recognition data 310a is data in which four items 311 to 314, ``row'', ``part name'', ``part number'', and ``last line flag'' are associated with each other.

The code analysis unit 83 reads the data written in the parts recognition data 310a from top to bottom. The code analysis unit 83 extracts lines in which part names have changed and lines in which the last line flag has changed. Then, the code analysis unit 83 generates 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 the execution line from the machining control unit 61. Further, when the execution line is a line (line 21) specifying execution of a UV macro, the processing control unit 61 obtains the UV macro execution line, which is a line that is being 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 the item 311 of the analysis data 310b, it generates the performance list 330a shown in FIG. 18.

The performance list 330a includes "row", "part name", "part number", "execution row", "UV macro execution row", "major number", "last row flag", "cumulative energy", and "elapsed time". ” is data in which seven items 331 to 339 are associated with each other. The "execution line" item 334 indicates the execution line obtained in step S18, and the "UV macro execution line" item 335 indicates the UV macro execution line obtained in step S18. The item 336 "Number of large numbers" indicates the number of times the UV macro is executed.

The performance management unit 62 writes the acquired execution line in the "Execution line" item 334. If the execution line is a line that specifies the execution of a UV macro, the performance management unit 62 writes the obtained UV macro execution line in the “UV macro execution line” item 335. Furthermore, the performance management unit 62 writes the number of times the UV macro has been executed in the "Number of large numbers" item 335.

When the processing control section 61 finishes processing, the performance management section 62 calculates the processing performance for each part based on the performance list 330a. The performance management unit 62 calculates the energy used by the laser processing machine 50 to manufacture the part 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 processing machine 50 to manufacture the part 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 into an intermediate list 330b shown in FIG. 19 based on the calculation result. In the intermediate list 330b, the "cumulative energy" and "elapsed time" items 338 and 339 of the performance list 330a are deleted, and the "used energy" and "processing time" items 340 and 341 are added.

As shown in FIG. 20, the track record management unit 62 extracts necessary items from the intermediate list 330b and then sorts them by part name. Then, the performance management unit 62 extracts data with matching part names from the intermediate list 330b, and calculates the total amount of energy used and the total amount of machining time, respectively. As a result, the total amount of energy used and the total amount of machining time are determined 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 parts that have been successfully processed is determined for each type of part.

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

According to this embodiment, by generating graphic data from the machining program 300, each of a plurality of parts can be recognized in the machining program. Thereby, the code analysis unit 83 can generate, for each part, analysis data 310b in which codes related to the production of the part are associated. Using the analysis data 310b, it is possible to recognize codes corresponding to each of a plurality of parts, so the track record management unit 62 can identify multiple parts by comparing the transition of the code executed by the processing control unit 61 with the analysis data 310b. It is possible to manage the machining results for parts. Thereby, 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 a dedicated code.

In this embodiment, the machining program 300 is a multi-piece production program that extracts a large number of parts from a workpiece by repeatedly executing a macro for producing parts. The performance management unit 62 manages the machining performance of the processing machine in response to macro execution.

The multi-piece production program includes macros for producing parts that are produced in large numbers. Therefore, by using the execution of the macro as a trigger, it is possible to appropriately manage the processing results of the processing machine for each part.

As described above, embodiments of the present invention have been described, but the statements and drawings that form part of this disclosure should not be understood as limiting the present invention. Various alternative embodiments, implementations, and operational techniques will be apparent to those skilled in the art from this disclosure.

In the embodiments described above, a laser processing system including a laser processing machine that cuts a workpiece with a laser beam has been described. However, any processing system may be used as long as it has a processing machine that cuts a workpiece to produce parts, and the processing machine may be a turret punch press or a punch/laser composite 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 the CAM. In this case, the functions of the graphic data generation section and the code analysis section realized by the CAM may be realized by the NC device.

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

Claims (10)

In a processing system that has a processing machine that cuts a workpiece to create multiple parts,
a graphic data generation unit that generates graphic data depicting a cutting locus for the processing machine to cut the workpiece based on a processing program in which a plurality of codes defining operations of the processing machine are written line by line;
Recognizing each of the plurality of parts produced by the machining program based on the graphic data, and generating analysis data that associates each of the plurality of parts with a code corresponding to the production of the part in the machining program. A code analysis section that performs
a processing control unit that executes the processing program and controls the processing machine;
a performance management unit that generates a machining performance of the processing machine for each part based on a transition of execution lines of the machining program executed by the machining control unit and the analysis data;
A processing system with The processing system according to claim 1, wherein the analysis data associates each of the plurality of parts with a first line and a last line of a code corresponding to the production of the part in the processing program. The processing program is a nesting program that produces the plurality of parts according to nesting in which the plurality of parts are respectively arranged with respect to the workpiece,
The performance management department is
The machining system according to claim 1 or 2, wherein a machining result of the machining machine is generated upon execution of a code associated with each of the plurality of parts. The processing program is a multi-piece production program that extracts a large number of parts from the workpiece by repeatedly executing a macro for producing the parts,
The machining system according to claim 1 or 2, wherein the performance management unit generates a machining performance of the processing machine in response to execution of the macro. The processing performance includes the number of successfully completed cuts, the total amount of energy used by the processing machine to process the part, and the total amount of processing time required by the processing machine to process the part. 4. The processing system according to any one of 4. Claims 1 to 5, wherein the code analysis unit identifies a continuous path formed by the cutting trajectory, and recognizes the continuous path as one part when the continuous path is a closed path. The processing system according to any one of the above. when a second closed path exists inside a first closed path that is the closed path recognized as one part, the code analysis unit determines that the second closed path is a hole and determines that the second closed path is the same part as the first closed path;
The machining system according to claim 6 , wherein, when a third closed path is present inside the second closed path, the third closed path is recognized as a part separate from a part consisting of the first and second closed paths. 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 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 comparing the recognized parts. In a processing performance management method for a processing machine that generates processing results for a processing machine that cuts a workpiece and creates multiple parts,
The computer is
Generating graphic data depicting a cutting trajectory along which the processing machine cuts the workpiece based on a processing program in which a plurality of codes defining operations of the processing machine are written line by line;
Recognizing each of the plurality of parts produced by the processing program based on the graphic data,
generating analysis data in which each of the plurality of parts is associated with a code corresponding to the production of the part in the processing program;
A machining performance management method for a processing machine, comprising: generating a machining performance of the processing machine for each part based on a transition of execution lines of the machining program and the analysis data.

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