Measurement result analysis device, measurement result analysis method and program

Abstract

Measurement result analysis device (1), comprising: a measurement result classification unit (11d) that classifies measurement result information based on the measurement result information in which measurement results of a machine tool and measurement attributes of the measurement results are correlated; a reference information acquisition unit (11f) which acquires reference information including classification of the measurement result information based on the content of an analysis result for which it is instructed to output in relation to the measurement result information; and an analysis result output unit (11g) that outputs an analysis result for the measurement result information based on the reference information which is captured by the reference information acquisition unit (11f).

Description

Field of invention

[0001] The present invention relates to a measurement result analysis device, a measurement result analysis method and a program. State of the art

[0002] Conventionally, a technology for storing measurement results of tools or workpieces operated in a machine tool is known. For example, patent document 1 discloses a technology for storing measurement results of a machine tool together with tool information and displaying the measurement result based on a user instruction.

[0003] Patent document 2 describes a measurement support system that causes a 3D measuring device and an image measuring device to automatically measure a measurement object using a measurement program file. Patent document 1: JP H10-143 219 A Patent document 2: DE 698 19 064 T2 SUMMARY OF THE INVENTION

[0004] However, with conventional technology, the measurement results of a machine tool are stored in a sequential order. In this case, it is not easy to analyze and compare measurement results taken under identical conditions, but with different tools, to determine tool wear trends or to compare tool performance. In other words, with conventional technology, it is difficult to properly analyze the measurement results of a machine tool.

[0005] One object of the present invention is to analyze measurement results from a machine tool more appropriately.

[0006] The problem is solved by a measurement result analysis device with the features of claim 1 and by a measurement result analysis method with the features of claim 7. The problem is further solved by a program with the features of claim 8.

[0007] According to the present invention, it is possible to analyze measurement results from a machine tool more appropriately. BRIEF DESCRIPTION OF THE DRAWINGS Fig. Figure 1 is a block diagram illustrating a configuration of a measurement result analysis device according to an embodiment of the present invention; Fig. Figure 2 is a schematic diagram illustrating an example of measurement result information. Fig. Figure 3 is a schematic diagram illustrating an example of a classification table. Fig. Figure 4 is a schematic diagram illustrating an analysis target table. Fig. Figure 5 is a schematic diagram illustrating an example of an input screen for displaying an analysis result of measurement results. Fig. Figure 6 is a schematic diagram illustrating an example of an analysis result related to differences between tools. Fig. Figure 7 is a schematic diagram illustrating an example of an analysis result related to differences between programs. Fig. Figure 8 is a schematic diagram illustrating an example of an analysis result related to the shapes of workpieces. Fig. Figure 9 is a flowchart to describe the sequence of a measurement result analysis process performed by the measurement result analysis device. DETAILED DESCRIPTION OF THE INVENTION

[0008] An embodiment of the present invention is described below with reference to the drawings. [Configuration]

[0009] Fig. Figure 1 is a block diagram illustrating a configuration of a measurement result analysis device 1 according to an embodiment of the present invention. As shown in Fig. As illustrated in Figure 1, the measurement result analysis device 1 includes a central processing unit (CPU) 11, a ROM 12, a RAM 13, an input unit 14, a display unit 15, a storage unit 16 and a communication unit 17.

[0010] In Fig. The CPU 11 controls the entire measurement result analysis device 1 by executing various programs stored in the memory unit 16. For example, the CPU 11 executes a program for a process (hereinafter referred to as a "measurement result analysis process") of analyzing measurement results from a machine tool. When the program for the measurement result analysis process is executed, a program generation unit 11a, a program execution unit 11b, a measurement result storage processing unit 11c, a measurement result classification unit 11d, an analysis target classification unit 11e, a measurement result exponential reaction unit 11f, and an analysis result display unit 11g are formed in the CPU 11 as a functional configuration.

[0011] The program generation unit 11a receives a program generation instruction from a user and generates a program to perform the measurement. The program generation unit 11a can select an existing program stored in the memory unit 16 or the like as a program to perform a measurement based on a user instruction. The program execution unit 11b executes the program generated or selected by the program generation unit 11a and performs the measurement of the machine tool. The measurement result storage processing unit 11c stores the measurement results of the machine tool executed by the program execution unit 11b and the measurement attributes in a measurement result storage unit 16a as correlated entries. Hereinafter, information in which the measurement results of the machine tool and the measurement attributes are correlated is also appropriately referred to as "measurement result information".

[0012] Fig. Figure 2 is a schematic diagram illustrating an example of measurement result information. As in Fig. Figure 2 illustrates how the machine tool's measurement results are stored in correlation with measurement attributes. These attributes include machining conditions for processing a measurement target and measurement conditions during the measurement itself. Machining conditions include programs for executing measurements and parameters set by the user. Measurement conditions include a measurement method (whether the measurement is automatic or manual), a measurement type (whether a measurement target is a tool or a workpiece), and a feedback target for the measurement results (tool identification information or a workpiece coordinate that correlates the measurement results). The feedback target for the measurement results is correlated with a tool type (such as a face mill, ball end mill, or similar tool) that correlates the measurement results.

[0013] The measurement result classification unit 11d classifies the measurement results for each entry of the measurement results stored in the measurement result storage unit 16a. Specifically, the measurement result classification unit 11d classifies the entry of the first line of measurement results stored in the measurement result storage unit 16a as a first measurement result. Furthermore, the measurement result classification unit 11d classifies the entries of the second and subsequent lines of the measurement results stored in the measurement result storage unit 16a, where the measurement procedure, measurement type, program, and feedback target are identical to those of the first measurement result, as the first measurement result.Furthermore, the measurement result classification unit 11d classifies the entries of the second and subsequent lines of the measurement results stored in the measurement result storage unit 16a as new measurement results (second and third measurement results and the like) whenever identical entries are detected to the already classified measurement results.

[0014] The measurement result classification unit 11d assigns information (a classification number or the like) for identifying classifications of measurement results to the entries of the processing results stored in the measurement result storage unit 16a in order to generate tables of data (hereinafter also referred to as a classification table) and stores the generated classification table in a classification table storage unit 16b.

[0015] Fig. Figure 3 is a schematic diagram illustrating an example of a classification table. As in Fig. Figure 3 illustrates how classifications (result classifications) of measurement results are assigned to corresponding measurement results and corresponding measurement attributes in the classification table. The analysis target classification unit 11e classifies classifications and analysis objects from a comparison target measurement result for each classification of the measurement results stored in the classification table storage unit 16b. Specifically, the analysis target classification unit 11e specifies other classifications of the measurement result, of which only one object (a measurement procedure, a measurement type, a program, and a feedback target) differs from those of the classifications of the measurement results in the sequence of classifications of the measurement results stored in the classification table storage unit 16b. The only different object is analysis target information between different classifications of measurement results.The analysis target classification unit 11e assigns information (a classification number or the like) for identifying the specified other classification of measurement results to the classifications of the measurement results stored in the classification table storage unit 16b in order to generate tables of data (hereinafter also referred to as an "analysis target table"), and stores the generated analysis target table in an analysis target table storage unit 16c. In the present embodiment, the analysis target classification unit 11e assigns an object that differs between different classifications and measurement results to the classifications of measurement results as an analysis object in order to generate an analysis target table.If there is no other classification of measurement results of which only one item (a motor control procedure, a measurement type, a program and a feedback target) differs from those of the classifications of measurement results, the analysis target classification unit 11e stores information indicating that there is no other classification of measurement results corresponding to the classification of measurement results in the analysis target table.

[0016] Fig. Figure 4 is a schematic diagram illustrating an example of an analysis target table. As in Fig. As illustrated in Figure 4, a different measurement result, one of whose components differs from that of the classification of measurement results, is specified for a classification of measurement results in the analysis target table. For example, classification "4" of measurement results, of which only one feedback target tool differs from that of classification "1" of measurement results, is specified for classification "1" of measurement results. Furthermore, classification "3" with a different program and classification "6" with a different feedback target tool are specified for classification "7" of measurement results.

[0017] A measurement result extraction unit 11f reads information relating to a measurement result, for which an analysis result is to be displayed on an analysis result display unit 11g, from the measurement result storage unit 16a, a classification table storage unit 16b, and an analysis target table storage unit 16c, and outputs the information to the analysis result display unit 11g. The analysis result display unit 11g acquires information relating to a measurement result, for which the analysis result is to be displayed, via the measurement result extraction unit 11f according to the user instructions.The analysis result display unit 11g performs analysis (analysis relating to a difference between tools, analysis relating to differences between programs, analysis relating to shapes of tools, and the like) of measurement results according to the user instructions and displays an analysis result on the display unit 15.

[0018] Fig. Figure 5 is a schematic diagram illustrating an example of an input screen for displaying an analysis result of measurement results. In the diagram shown... Fig. In the illustrated input screen example 5, a user can select an item from "Tool" and "Program" as an analysis target on an initial screen. When the user selects an item from "Tool" and "Program," subordinate items of the selected item are displayed as selectable items. In the example shown in Fig. In the 5 illustrated input screen example, if "Tool" is selected, "Ball End Mill" and "Face End Mill" are displayed as selectable "Tool Types," which are sub-items of "Tool." When the user selects a sub-item, analysis results for that sub-item are displayed as a list on a screen following the initial screen (hereinafter referred to as the "Results Display Screen"). In the Fig. In the 5 illustrated examples, analysis results for “face milling cutter”, selected by the user, are displayed as a list on the results display screen.

[0019] Fig. 6, Fig. 7 to Fig. Figure 8 are schematic diagrams illustrating an example of analysis results. Fig. Figure 6 is a diagram illustrating an example of analysis results relating to a difference between tools. Fig. Figure 7 is a diagram illustrating an example of analysis results relating to differences between programs and Fig. Figure 8 is a diagram illustrating an example of analysis results relating to workpiece shapes. As in Fig. Figure 6 illustrates that when classifications of measurement results, in which feedback target tools differ, are analyzed, a relationship between a number of machining operations and a tool diameter is displayed as a graph for each tool type with respect to a machining result (in this case, a tool diameter) included in the measurement results. In the Fig. As illustrated in the 6 examples, it is understood that tool A (a ball end mill) does not wear out more easily than tool B (a face mill).

[0020] As in Fig. Figure 7 illustrates that when classifications of measurement results, in which programs (machining conditions) differ, are analyzed, a relationship between a number of machining operations and a tool diameter is displayed as a graph for each program with respect to a machining result (in this case, a tool diameter) contained in the measurement results. In the Fig. As illustrated in the 7th example, it is understood that the tool is not worn down as easily under the machining condition of program P2 as under the machining condition of program P3.

[0021] As in Fig. Figure 8 illustrates that when workpiece shapes (in this example, the inner diameters of drilled holes) are analyzed, a relationship between a number of machining operations and a workpiece shape (the inner diameter of a drilled hole) is displayed as a graph in relation to the machining result, which is contained in corresponding measurement results of the same classification. In the Fig. In the 8 illustrated example, it is understood that the machining results for the first to fourteenth machining operations fall within a tolerance range that is permissible for a reference inner diameter.

[0022] In Fig. 1. Various system programs for controlling the measurement result analysis device 1 are pre-written into the ROM 12. The R_AM 13 is configured as a semiconductor memory such as a dynamic random access memory (DRAM) and stores data generated when the CPU 11 executes various processes. The input unit 14 is configured as an input device, such as a keyboard, a mouse, or a touch sensor, and receives various pieces of information that are user inputs to the measurement result analysis device 1.

[0023] The display unit 15 is configured as a display device, such as a liquid crystal display (LCD), and shows various processing results from the measurement result analysis device 1. The storage unit 16 is configured as a non-volatile storage device, such as a hard drive or flash memory, and stores programs and the like for a measurement result analysis process. The measurement result storage unit 16a, in which entries are stored that correlate the measurement results of a machine tool executed by the program execution unit 11b with measurement results, the classification table storage unit 16b, in which the classification table is stored, and the analysis target table storage unit 16c, in which the analysis target table is stored, are formed within the storage unit 16.

[0024] In Fig. 1 The communication unit 17 includes a communication interface that performs signal processing based on a predetermined communication standard such as a cable or wireless LAN or a USB and controls communication that takes place between the measurement result analysis device 1 and other devices. [Operation]

[0025] Next, the operation of the measurement result analysis device 1 will be described. [Measurement result analysis process]

[0026] Fig. Figure 9 is a flowchart describing the sequence of a measurement result analysis process performed by the measurement result analysis device 1. The measurement result analysis process starts when an instruction to activate the measurement result analysis process is entered via the input unit 14.

[0027] In step S1, the program generation unit 11a receives a program generation instruction from a user and generates a program to perform the measurement. In this case, the program generation unit 11a can select an existing program stored in the memory unit 16 or the like as a program to perform the measurement according to the user instruction.

[0028] In step S2, the program execution unit 11b executes a program generated or selected by the program generation unit 11a. In this way, the measurement of a machine tool is performed.

[0029] In step S3, the measurement result storage processing unit 11c stores the measurement results of a machine tool, which is executed by the program execution unit 11b, and the measurement attributes in the measurement result storage unit 16a in correlation as entries (measurement result information).

[0030] In step S4, the measurement result classification unit 11d reads an entry from the measurement results stored in the measurement result storage unit 16a.

[0031] In step S5, the measurement result classification unit 11d determines whether the read entry of measurement results corresponds to existing measurement result information. If the read entry of measurement results corresponds to an existing classification of measurement results, a determination result of YES is obtained in step S5, and the process proceeds to step S6. If, on the other hand, the read entry of measurement results does not correspond to the existing classification of measurement results, a determination result of NO is obtained in step S5, and the process proceeds to step S7.

[0032] In step S6, the measurement result classification unit 11d sets the corresponding classification of measurement results to the read entry of measurement results. After step S6 is carried out, the process advances to step S8.

[0033] In step S7, the measurement result classification unit 11d generates a new classification of measurement results according to the read entry of measurement results and sets the new classification to the entry of measurement results.

[0034] In step S8, the measurement result classification unit 11d determines whether the last entry of measurement results stored in the measurement result storage unit 16a has been processed. If the last entry of measurement results stored in the measurement result storage unit 16a has been processed, a determination result of YES is obtained in step S8, and the process proceeds to step S9. Conversely, if the last entry of measurement results stored in the measurement result storage unit 16a has not been processed, a determination result of NO is obtained in step S8, and the process proceeds to step S4.

[0035] In step S9, the measurement result classification unit 11d stores a classification table in which information (a classification number or the like) for identifying classification and measurement results is assigned to the entries of measurement results in the classification table storage unit 16b.

[0036] In step S10, the analysis target classification unit 11e reads an entry of classification of measurement results stored in the classification table storage unit 16b.

[0037] In step S11, the analysis target classification unit 11e specifies other classifications of measurement results, of which only one object (a measurement procedure, a measurement type, a program and a feedback target) differs from those of the read entry of classifications of measurement results.

[0038] In step S12, the analysis target classification unit 11e determines whether the last entry of classifications from measurement results stored in the classification table storage unit 16b has been processed. If the last entry of classifications from measurement results stored in the classification table storage unit 16b has been processed, a result of YES is determined in step S12, and the process proceeds to step S13. Conversely, if the last entry of classifications from measurement results stored in the classification table storage unit 16b has not been processed, a result of NO is determined in step S12, and the process proceeds to step S10.

[0039] In step S13, the analysis target classification unit 11e stores an analysis target table containing information (a classification number or the like) to identify the specified other classifications of measurement results to classifications of measurement results stored in the classification table storage unit 16b in the analysis target table storage unit 16c.

[0040] In step S14, the analysis result display unit 11g receives an input (an instruction regarding measurement results for which analysis results are to be displayed) of a display content of analysis results from the user.

[0041] In step S15, the measurement result extraction unit 11f reads information relating to the input display content of analysis results from the measurement result storage unit 16a, the classification table storage unit 16b and the analysis target table storage unit 16c.

[0042] In step S16, the analysis result display unit 11g performs analysis (analysis relating to a difference between tools, analysis relating to a difference between programs, analysis relating to the shapes of workpieces, and the like) of measurement results according to the user instructions and displays an analysis result on the display unit 15.

[0043] In step S17, the analysis result display unit 11g determines whether an instruction to terminate the measurement result analysis process has been entered. If no instruction to terminate the measurement result analysis process has been entered, a result of NO is determined in step S17, and the process proceeds to step S14. Conversely, if the instruction to terminate the measurement result analysis process has been entered, a result of YES is determined in step S17, and the measurement result analysis process ends.

[0044] As described above, the measurement result analysis device 1, according to the present embodiment, stores measurement results from a machine tool in correlation with measurement attributes. The measurement result analysis device 1 classifies the stored measurement results based on a measurement method, a measurement type, a program, and a feedback target. The measurement result analysis device 1 classifies classifications and analysis objects of comparison target measurement results for each classification of measurement results.The measurement result analysis device 1 reads measurement result-related information, for which it is instructed to display an analysis result, from the measurement result storage unit 16a, the classification table storage unit 16b, and the analysis target table storage unit 16c, and performs analysis (analysis relating to a difference between tools, analysis relating to a difference between programs, analysis relating to workpiece shapes, and the like) of measurement results according to the user instructions. The measurement result analysis device 1 displays the analysis result on the display unit 15. Therefore, even if various measurements are performed sequentially in a machine tool, it is possible to easily extract measurement results aimed at analyzing a specific object and to record analysis results.Therefore, it is possible to analyze measurement results from a machine tool more appropriately.

[0045] The measurement result analysis device 1 adjusts an existing classification of measurement results to an entry of measurement results identical to already classified measurement results and generates and adjusts a new classification of measurement results whenever an entry that is not identical to the already classified measurement results is detected. In this way, it is possible to appropriately adjust the classification of measurement results to different measurement results.

[0046] The measurement result analysis device 1 specifies other classifications of measurement results, of which only one item (a measurement procedure, a measurement type, a program, and a feedback target) differs from those of the measurement result classifications in the order of the measurement result classifications. The measurement result analysis device 1 assigns information (a classification number or the like) to the specified other classifications of measurement results for identification. In this way, it is possible to appropriately specify other measurement results and comparison target items with which it is possible to compare measurement results in order to perform analysis.

[0047] The measurement result analysis device 1 assigns information (a classification number or the like) to the entries of measurement results to identify classifications and generate a classification table. This makes it easy to analyze various recorded measurement results.

[0048] The measurement result analysis device 1 executes a program to perform measurements on a machine tool. In this way, a device that performs measurements on a machine tool can analyze the measurement results more appropriately.

[0049] The present invention is not limited to the embodiment and modification described above, but various changes, modifications, and the like are possible. For example, in the embodiment described above, the analysis result display unit 11g displays the analysis results acquired by the measurement result analysis device 1 on a display screen. However, a method of outputting the analysis results is not limited to displaying them on a display screen. For example, analysis result data can be sent to another device, the analysis results can be printed on a printing medium, or the analysis result data can be stored in a storage medium.

[0050] In the embodiment described above, the measurement result analysis device 1 executes a program, acquires measurement results, classifies measurement results, specifies classifications of other comparison target measurement results, analyzes measurement results, and displays analysis results. However, there is no limitation to this. That is, the measurement result analysis device 1 can perform some of these processes, and the other processes can be performed by a device other than the measurement result analysis device 1. For example, the other device can execute a program and acquire measurement results, while the measurement result analysis device 1 can classify measurement results, specify classifications of other comparison target measurement results, analyze measurement results, and display analysis results.It is sufficient to specify the classifications of the other comparison target measurement results when comparing a large number of classifications of measurement results. That is, if, for example, a workpiece shape (the inner diameter of a drilled hole) is analyzed, then specifying another classification of the other comparison target measurement results that does not require comparison with other classifications of measurement results is not necessary.

[0051] In the embodiment described above, when analysis results are displayed, qualitative characteristics (values ​​indicating the improbability of wear across a multitude of tools) can be output in addition to qualitative characteristics (comparative results of the improbability of wear across a multitude of tools) of analysis targets.

[0052] All or some of the functions of the measurement result analysis device 1 of the embodiment described above can be implemented by hardware, software, or a combination thereof. Here, implementation by software means implementation where a computer reads and executes a program. If the functions are implemented by hardware, some or all of the functions of the measurement result analysis device 1 can be implemented, for example, by an integrated circuit (IC), such as an application-specific integrated circuit (ASIC), a gate array, a field-programmable gate array (FPGA), and a complex programmable logic device (CPLD).

[0053] If all or some of the functions of the measurement result analysis device 1 are implemented by software, the functions can be implemented if a computer includes a storage unit, such as a hard disk or a ROM, which stores programs that describe all or some of the operations of the measurement result analysis device 1, a DRAM that stores data necessary for operations, a CPU and a bus that connects corresponding units, stores information necessary for the operations in a DRAM, and the CPU executes the programs.

[0054] The programs can be stored and made available to a computer using various types of computer-readable media. Computer-readable media include various types of tangible storage media. Examples of computer-readable media include magnetic recording media (such as flexible disks, magnetic tape, and hard disk drives), magneto-optical recording media (such as magneto-optical disks), CD-ROM (read-only storage), CD-R, CD-R / W, DVD-ROM (Digital Versatile Disc), DVD-R, DVD-R / W, and semiconductor memory (such as mask ROM, PROM (programmable ROM), EPROM (erasable PROM), flash memory, and RAM (random access memory)). These programs can be distributed by downloading them to a user's computer over a network.

[0055] While the embodiment of the present invention has been described in detail, the embodiment shown merely illustrates a specific example of its implementation. The technical scope of protection of the present invention is not limited to this embodiment. Various modifications can be made without departing from the spirit of the present invention, and these modifications also fall within the technical scope of protection of the present invention. EXPLANATION OF REFERENCE MARKS 1 Measurement result analysis device 11 CPU 11a Program generation unit 11b Program execution unit (measurement execution unit) 11c Measurement result storage processing unit 11d Measurement result classification unit 11e Analysis target classification unit 11f Measurement result extraction unit Reference information acquisition unit) 11g Analysis result display unit (analysis result output unit) 12 ROM 13 RAM 14 Input unit 15 Display unit 16 storage units 16a Measurement result storage unit 16b Classification Table Storage Unit 16c Analysis Target Table Storage Unit 17 Communication unit

Claims

[1] Measurement result analysis device (1), comprising: a measurement result classification unit (11d) that classifies measurement result information based on the measurement result information in which measurement results of a machine tool and measurement attributes of the measurement results are correlated; a reference information acquisition unit (11f) which acquires reference information including classification of the measurement result information based on the content of an analysis result for which it is instructed to output in relation to the measurement result information; and an analysis result output unit (11g) that outputs an analysis result for the measurement result information based on the reference information which is captured by the reference information acquisition unit (11f). [2] Measurement result analysis device according to (1) according to claim 1, wherein the measurement result classification unit (11d) determines whether the measurement result information corresponds to an existing classification unit of the measurement result information, sets the corresponding classification of the measurement result information if the measurement result information corresponds to the existing classification of the measurement result information, and generates a new classification of the measurement result information and sets the generated new classification of the measurement result information if the measurement result information does not correspond to the existing classification of the measurement result information. [3] Measurement result analysis device (1) according to claim 1 or 2, further comprising: an analysis target classification unit (11e) that specifies a classification of the other comparison target measurement result in relation to the measurement result information classified by the measurement result classification unit (11d), wherein the reference information capture unit (11f) captures reference information including classifications of the measurement result information and a classification of the other comparison target measurement results, based on the content of an analysis result that is instructed to be output, in relation to the measurement result information. [4] Measurement result analysis device (1) according to claim 3, wherein the analysis target classification unit (11e) specifies a classification set to the other measurement result, of which one of objects forming the measurement results of the machine tool and the measurement attributes according to the measurement results as a classification of the other comparison target measurement result in relation to the measurement result information classified by the measurement result classification unit (11d). [5] Measurement result analysis device (1) according to claim 3 or 4, wherein The measurement result classification unit (11d) generates a classification table in which the measurement result information and information specifying its classification are correlated, based on a classification result of the measurement result information, and The analysis target classification unit (11e) generates an analysis target table in which the classification of the measurement result information and the specified classification of the other comparison target measurement result are correlated. [6] Measurement result analysis device (1) according to any one of claims 1 to 5, further comprising: a measuring execution unit (11b) that performs the measurement of the machine tool. [7] Measurement result analysis procedures, comprehensive: a measurement result classification step of classifying measurement result information based on the measurement result information in which measurement results of a machine tool and measurement attributes of the measurement results are correlated; a reference information acquisition step of acquiring reference information including classification of the measurement result information based on the content of an analysis result, for which it is instructed to output in relation to the measurement result information; and an analysis result output step of outputting an analysis result for the measurement result information based on the related information which is captured in the reference information acquisition step. [8] Program to cause a computer to execute: a measurement result classification function for classifying measurement result information based on the measurement result information, in which measurement results of a machine tool and measurement attributes of the measurement results are correlated; a reference information acquisition function for capturing related information, including classification of measurement result information based on the content of an analysis result, for which it is instructed to output in relation to the measurement result information; and An analysis result output function for outputting an analysis result for the measurement result information based on the related information, which is captured by the reference information acquisition function.

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