Composite measurement integrated viewer and computer program product

Abstract

The first form of a composite measurement integrated viewer includes: a storage unit for storing the categories of feature quantities obtained from the measurement results of the analysis machines for each of the plurality of analysis machines; a display control unit for displaying the categories of feature quantities stored in the storage unit on a display screen in a selectable manner; and a registration unit for assigning a name to a category set of feature quantities selected by an operator among the categories of feature quantities and registering the name. The display control unit displays a first display area and a second display area in a row on the display screen, the first display area displaying the categories of feature quantities as labels according to the types of the analysis machines, and the second display area displaying the category set of feature quantities selected by the operator.

Description

Technical Field

[0001] The invention relates to a composite measurement integrated viewer and a program. Background Art

[0002] The industry has proposed an analysis system for performing lateral analysis of multiple measurement results obtained by multiple analysis machines (hereinafter also referred to as a "multi-analysis device lateral analysis system"). As such an analysis system, for example, Japanese Patent Publication No. 2017-194360 (Patent Document 1) discloses a sample analysis system, which uses multiple analysis machines including at least one of a fluorescent X-ray analyzer, an atomic absorption spectrophotometer, and an inductively coupled plasma luminescence analyzer and at least one of an infrared spectrophotometer and a Raman spectrophotometer to obtain measurement data of a target sample, and determine the target sample based on the obtained measurement data. In Patent Document 1, the determination accuracy of the target sample is improved by using the measurement data of a device suitable for the analysis of inorganic substances and the measurement data of a device suitable for the analysis of organic substances.

[0003] [Prior art literature]

[0004] [Patent Document]

[0005] Patent Document 1: Japanese Patent Application Publication No. 2017-194360 Summary of the invention

[0006] [Problems to be solved by the invention]

[0007] The composite measurement integrated viewer used in the above analysis system is required to be able to select and display feature quantities that meet a specific analysis purpose or application from a plurality of feature quantities obtained from a plurality of measurement results, and to perform analysis such as machine learning using the selected feature quantities.

[0008] On the other hand, since there are various combinations of feature quantities, the operation of selecting feature quantities that match a specific analysis purpose or application is complicated, and there is a concern that the convenience of the user performing the analysis operation may be reduced.

[0009] The present invention has been made to solve such a problem, and an object of the present invention is to provide a user interface that facilitates lateral analysis of measurement results of a plurality of analytical instruments.

[0010] [Technical means to solve the problem]

[0011] A composite measurement integrated viewer of a first aspect of the present invention includes: a storage unit for storing the categories of feature quantities obtained from the measurement results of the analysis machines for each of a plurality of analysis machines; a display control unit for displaying the categories of feature quantities stored in the storage unit on a display screen in a selectable manner; and a registration unit for assigning a name to a category set of feature quantities selected by an operator among the categories of feature quantities and registering the name. The display control unit displays a first display area and a second display area in a row on the display screen, the first display area displaying the categories of feature quantities as labels according to the types of the analysis machines, and the second display area displaying the category set of feature quantities selected by the operator.

[0012] [Effects of the Invention]

[0013] According to the present invention, it is possible to provide a user interface that facilitates lateral analysis of measurement results of a variety of analytical instruments. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic diagram for explaining a configuration example of a complex analysis machine transverse analysis system to which the complex measurement integrated viewer according to the embodiment is applied.

[0015] Figure 2 This is a diagram schematically showing an example of the hardware configuration of an information processing device, a server, and a viewer.

[0016] Figure 3 This is a diagram schematically showing the functional configuration of an information processing device, a server, and a viewer.

[0017] Figure 4 This is a flowchart for explaining the template creation process in the viewer.

[0018] Figure 5 This is a diagram showing an example of a template creation screen.

[0019] Figure 6 This is a diagram showing an example of a template creation screen.

[0020] Figure 7 This is a diagram showing an example of a template creation screen.

[0021] Figure 8 This is a flowchart for explaining the display processing in the viewer.

[0022] Fig. 9 This is a diagram showing an example of an operation screen.

[0023] Fig.10 This is a diagram showing an example of an operation screen.

[0024] Fig.11This is a diagram schematically showing an example of a display screen of a viewer. DETAILED DESCRIPTION

[0025] Hereinafter, the embodiments of the present invention will be described in detail with reference to the drawings. In addition, in the following, the same or corresponding parts in the drawings are denoted by the same reference numerals, and the description thereof will not be repeated in principle.

[0026] [Overall structure of the complex analysis machine horizontal analysis system]

[0027] Figure 1 This is a schematic diagram for explaining a configuration example of a composite analysis device lateral analysis system to which the composite measurement integrated viewer of this embodiment is applied. The composite analysis device lateral analysis system (hereinafter also referred to as "analysis system") is a system for performing lateral analysis on a plurality of measurement results obtained from a plurality of analysis machines. The composite measurement integrated viewer of this embodiment (hereinafter also referred to as "viewer") is configured to display a measurement result selected by an operator from among a plurality of measurement results and a feature quantity obtained from the measurement result.

[0028] Reference Figure 1 The analysis system 100 includes a plurality of analysis machines 4 , a server 2 , a database 3 , and at least one viewer 1 .

[0029] The various analytical devices 4 perform measurements on the samples. The various analytical devices 4 include, for example, liquid chromatography (LC), gas chromatography (GC), liquid chromatography-mass spectrometry (LC-MS), gas chromatography-mass spectrometry (GC-MS), scanning electron microscope (SEM), transmission electron microscope (TEM), energy-dispersive X-ray spectroscopy (EDX), wavelength-dispersive X-ray spectroscopy (WDX), and Fourier-transform infrared (FT-IR). The analysis machine 4 may further include a photodiode array detector (liquid chromatography with photodiode array detector, LC-PDA), a liquid chromatography-tandem mass spectrometer (liquid chromatography-tandem mass spectrometry, LC / MS / MS), a gas chromatography-tandem mass spectrometer (gas chromatography-tandem mass spectrometry, GC / MS / MS), a liquid chromatography-mass spectrometer (liquid chromatography-ion trap-time of flight mass spectrometer, LC / MS-IT-TOF), a near-infrared spectrometer, a tensile tester, and a compression tester. The analysis system 100 includes a plurality of analysis machines 4 that output different types of measurement results, and can perform a multi-faceted analysis on a sample using a plurality of measurement results.

[0030] The analysis device 4 includes a device body 5 and an information processing device 6. The device body 5 measures a sample to be measured. The information processing device 6 inputs sample identification information and sample measurement conditions.

[0031] The information processing device 6 controls the measurement in the device body 5 according to the input measurement conditions. As a result, measurement data representing the measurement results of the sample are obtained in the device body 5. The information processing device 6 creates a data file including the measurement data obtained in the device body 5. Moreover, the information processing device 6 uses a dedicated data analysis software to analyze the measurement data, thereby extracting the "feature quantity" of the sample. The feature quantity can be used for machine learning, etc. In addition, the feature quantity, in addition to the feature quantity obtained from the measurement data, can also include the calculated value obtained by performing calculation processing on the feature quantity obtained in the measurement data, the measurement conditions, the physical property value of the sample, the formulation information of the structural material of the sample and the manufacturing process, etc.

[0032] The information processing device 6 stores the obtained characteristic values ​​together with the measurement conditions and identification information of the sample in a data file, and saves the data file in a built-in memory. Specifically, the information processing device stores a data file that collects the measurement conditions, sample identification information, measurement data, and characteristic values ​​for each sample in the memory.

[0033] At this time, the information processing device 6 may include an "identifier" containing a character string in the file name of the data file. The identifier is used to identify information that is not directly involved in the measurement performed by the analysis machine 4. For example, the identifier can be used to identify the pretreatment conditions of the sample. Or the identifier can be used to identify the date and time of sample preparation. In this way, the measurement data obtained by the same analysis machine 4 can be identified by the pretreatment conditions of the sample, etc.

[0034] The information processing device 6 is connected to the server 2 in a manner that allows mutual communication. The connection between the information processing device 6 and the server 2 may be wired or wireless. For example, the Internet may be used as a communication network that connects the information processing device 6 and the server 2. Thus, the information processing device 6 of each analysis machine 4 can send the data file of each sample to the server 2.

[0035] The server 2 is mainly used to manage the measurement data obtained by multiple analysis machines 4. The data files of each sample are input from each analysis machine 4 to the server 2. Furthermore, the "physical property value" of the sample can be input to the server 2 from outside the server 2. The physical property value of the sample is a value indicating the attribute of the sample obtained without measurement by the analysis machine 4.

[0036] exist Figure 1 In the example of FIG, a structure in which the physical property values ​​of the sample are input to the server 2 is shown, but a structure in which the physical property values ​​of the sample are input to the analysis machine 4 may be set. In the above case, the analysis machine 4 sends the physical property values ​​together with the data file for each sample to the server 2. Alternatively, a structure in which the physical property values ​​of the sample are input to the viewer 1 described below may be set.

[0037] The server 2 is connected to a database 3. The database 3 is a storage unit for storing data exchanged between the server 2 and a plurality of analysis machines 4, and data input from outside the server 2. Figure 1 In the example of , the database 3 is installed in a storage unit outside the server 2, or the database 3 can be built into the server 2. After the server 2 obtains the data file and the physical property value of the sample, it associates the data file with the physical property value according to each sample and stores them in the database 3.

[0038] The server 2 is connected to the Internet 7. Furthermore, at least one viewer 1 is connected to the Internet 7. Thus, the viewer 1 can transmit and receive data bidirectionally with the server 2 via the Internet 7. The communication network connecting the server 2 and the viewer 1 is not limited to the Internet 7.

[0039] The viewer 1 is configured to display the measurement results and characteristic quantities of the sample selected as the display object by the user (e.g., operator). Specifically, after receiving the user's selection of the display object, the viewer 1 accesses the server 2 via the Internet 7 to obtain the data file of the sample selected as the display object stored in the database 3. The viewer 1 displays the measurement results and characteristic quantities stored in the obtained data file on the display screen.

[0040] Furthermore, when a plurality of samples are selected as display targets, the viewer 1 can display the measurement results and feature values ​​of the plurality of samples in a row on the display screen. A display example in the viewer 1 will be described below.

[0041] [Analysis system hardware configuration example]

[0042] Figure 2 It is a diagram schematically showing a hardware configuration example of the information processing device 6 , the server 2 , and the viewer 1 .

[0043] (Hardware Structure of Information Processing Device)

[0044] Reference Figure 2 The information processing device 6 includes a central processing unit (CPU) 60 for controlling the entire analysis machine 4, and a storage unit for storing programs and data, and is configured in a manner that runs according to the program.

[0045] The storage unit includes a read-only memory (ROM) 61, a random access memory (RAM) 62, and a hard disk drive (HDD) 65. The ROM 61 can store programs executed by the CPU 60. The RAM 62 can temporarily store data used in the execution of the program in the CPU 60, and can function as a transient data storage used as a work area. The HDD 65 is a non-volatile storage device that can store information generated in the information processing device 6, such as data files of each sample. A semiconductor storage device such as a flash memory can be used in addition to the HDD 65, or it can also replace the HDD 65.

[0046] The information processing device 6 further includes a communication interface (I / F) 66, an input unit 63, and a display unit 64. The communication I / F 66 is an interface for the information processing device 6 to communicate with external devices including the device body 5 and the server 2.

[0047] The input unit 63 receives input including instructions from a user (eg, an analyst) to the information processing device 6. The input unit 63 includes a keyboard, a mouse, and a touch panel integrally formed with the display screen of the display unit 64, and receives measurement conditions and identification information of the sample.

[0048] When setting measurement conditions, the display unit 64 can display, for example, a measurement condition input screen and sample identification information, etc. During measurement, the display unit 64 can display measurement data detected by the device body 5 and data analysis results of the information processing device 6 .

[0049] The processing in the analysis machine 4 can be realized by various hardware and software executed by the CPU 60. Such software may be stored in advance in the ROM 61 or the HDD 65. In addition, the software may be stored in a storage medium (not shown) and circulated in the form of a program product. In addition, the software is read from the HDD 65 by the CPU 60 and stored in the RAM 62 in a form that can be executed by the CPU 60. The CPU 60 executes the program.

[0050] (Server hardware structure)

[0051] The server 2 includes a CPU 20 for controlling the entire device and a storage unit for storing programs and data, and is configured to run according to the programs. The storage unit includes a ROM 21 , a RAM 22 , and a HDD 25 .

[0052] The ROM 21 can store programs executed by the CPU 20. The RAM 22 can temporarily store data used in the execution of programs in the CPU 20 and can function as a transient data memory used as a work area. The HDD 25 is a non-volatile storage device that can store information sent from the information processing device 6.

[0053] The server 2 further includes a communication I / F 26, an input / output interface (I / O) 24, and an input unit 23. The communication I / F 26 is an interface for the server 2 to communicate with external devices including the information processing device 6 and the viewer 1.

[0054] The I / O 24 is an interface for inputting to the server 2 or outputting from the server 2. The I / O 24 is connected to the database 3. The database 3 is a memory for storing data transmitted and received between the server 2 and the information processing device 6.

[0055] The input unit 23 receives input including instructions from a user (for example, an administrator of the analysis system 100). The input unit 23 includes a keyboard and a mouse, and receives information related to physical property values ​​of samples.

[0056] (Hardware structure of the browser)

[0057] The browser 1 includes a CPU 10 for controlling the entire device and a storage unit for storing programs and data, and is configured to run according to the programs. The storage unit includes a ROM 11 , a RAM 12 , and a HDD 15 .

[0058] The ROM 11 can store programs executed by the CPU 10. The RAM 12 can temporarily store data used in the execution of programs in the CPU 10 and can function as a transient data memory used as a work area. The HDD 15 is a non-volatile storage device and can store information sent from the server 2.

[0059] The viewer 1 further includes a communication I / F 16, an input unit 13, and a display unit 14. The communication I / F 16 is an interface for the viewer 1 to communicate with external devices including the server 2.

[0060] The input unit 13 receives input including instructions from a user (eg, an operator) to the viewer 1. The input unit 13 includes a keyboard, a mouse, and a touch panel integrally formed with the display screen of the display unit 14, and receives selection of a display object.

[0061] When selecting a display object, the display unit 14 may display a user interface such as an operation screen for selecting the display object. The display unit 14 may further display measurement data such as a generated sample image.

[0062] The processing in the viewer 1 can be realized by various hardware and software executed by the CPU 10. Such software may be stored in advance in the ROM 11 or the HDD 15. In addition, the software may be stored in a storage medium (not shown) and distributed in the form of a program product. In addition, the software is read from the HDD 15 by the CPU 10 and stored in the RAM 12 in a form that can be executed by the CPU 10. The CPU 10 executes the program.

[0063] [Functional structure of the analysis system]

[0064] Figure 3 This is a diagram schematically showing the functional configuration of the information processing device 6 , the server 2 , and the viewer 1 .

[0065] (Functional Structure of Information Processing Device)

[0066] Reference Figure 3 The information processing device 6 includes a data acquisition unit 67, a feature extraction unit 68, and an information acquisition unit 69. These functional structures are shown in FIG. Figure 2 In the information processing device 6 shown, this is realized by the CPU 60 executing a predetermined program.

[0067] The data acquisition unit 67 acquires measurement data representing the measurement result of the sample from the apparatus body 5. For example, when the analysis machine 4 is a chromatograph mass spectrometer, the measurement data includes a chromatogram and a mass spectrum. When the analysis machine 4 is a scanning electron microscope or a transmission electron microscope, the measurement data includes image data representing a microscope image of the sample. The data acquisition unit 67 transfers the acquired measurement data to the feature quantity extraction unit 68.

[0068] The characteristic quantity extraction unit 68 uses a dedicated data analysis software to analyze the measurement data transferred from the data acquisition unit 67, thereby extracting the characteristic quantity of the sample. The characteristic quantity of the sample includes, for example, the components contained in the sample, the particle size of the particles having the components, the peak intensity and peak area of ​​the mass spectrum, absorbance, reflectivity, Young's modulus, tensile strength, deformation, strain, and fracture time. For example, when the measurement data is a chromatogram, the characteristic quantity includes peak intensity, peak area, and retention time (retention time).

[0069] The information acquisition unit 69 acquires the information received by the input unit 63. Specifically, the information acquisition unit 69 acquires sample identification information and information indicating the measurement conditions of the sample. The sample identification information includes, for example, the sample name, the name, model, and serial number of the product to be the sample. The measurement conditions of the sample include device parameters including the name and model of the analytical machine used, and measurement parameters indicating measurement conditions such as the application conditions of voltage and / or current or temperature conditions.

[0070] The communication I / F 66 transmits the obtained measurement data, measurement conditions, sample identification information, and extracted feature values ​​to the server 2 in the form of a data file.

[0071] (Functional structure of the server)

[0072] The server 2 includes a data acquisition unit 27, a physical property value acquisition unit 28, and a synthesis unit 29. These functional structures are Figure 2 In the server 2 shown, this is realized by the CPU 20 executing a predetermined program.

[0073] The data acquisition unit 27 acquires the data file transmitted from the information processing device 6 of each analysis machine 4 via the communication I / F 26 .

[0074] The physical property value obtaining unit 28 obtains information indicating the physical property value of the sample received by the input unit 23. The physical property value of the sample is a value indicating the attribute of the sample obtained without measurement by the analyzer 4, and includes, for example, a value indicating the performance of the sample or a value indicating the degree of deterioration of the sample (number of years of use, etc.).

[0075] The synthesis unit 29 associates the data files (sample identification information, measurement conditions, measurement data, and feature values) of each analysis machine 4 with the physical property values ​​for each sample. The synthesis unit 29 stores the data files associated with each sample in the database 3 via the I / O 24. When there are multiple data files of multiple analysis machines 4 for one sample, the server 2 associates the unified data files with the physical property values ​​and stores them in the database 3. Thus, in the database 3, at least one data file and physical property value are stored for each sample.

[0076] (Viewer control structure)

[0077] The viewer 1 includes a storage unit 17 and a display control unit 18. These functional structures are Figure 2 In the viewer 1 shown, this is realized by the CPU 10 executing a predetermined program.

[0078] The storage unit 17 is configured to store the types of feature quantities obtained from the measurement data of the analysis machine 4 for each of the plurality of analysis machines 4. For example, when the analysis machine 4 is a chromatograph mass spectrometer and the measurement data is a chromatogram, the types of feature quantities include peak intensity, peak area, and retention time. Or when the analysis machine 4 is a transmission electron microscope (TEM) and the measurement data is image data representing a microscope image of a sample, the types of feature quantities include the particle size of particles contained in the sample. The storage unit 17 corresponds to an embodiment of the "storage means".

[0079] The display control unit 18 selects an object to be displayed on the display unit 14 according to the user instruction received by the input unit 13, and generates display data of a display format that can be displayed on the display screen of the display unit 14 based on the selected display object. The display control unit 18 further generates a user interface for the user to perform an operation of selecting a display object. Specifically, the display control unit 18 includes a template creation unit 18A, a selection unit 18B, and a display data generation unit 18C.

[0080] The template creation unit 18A creates a screen (hereinafter also referred to as a "template creation screen") for supporting the creation of a template as a user interface. In this specification, a "template" specifies a set of categories of feature quantities used for machine learning, etc. As described below, the user selects a category of feature quantities on the template creation screen, thereby creating a template with the selected category of feature quantities specified.

[0081] The categories of feature quantities used for machine learning and the like vary depending on the purpose and use of the analysis. In this embodiment, a template creation screen can be used to create a template in which a category set of feature quantities is specified according to the purpose and use of the analysis. Thus, in the scenario of performing the analysis, the user can select a template that matches the purpose and use of the analysis from a plurality of templates, thereby easily obtaining feature quantities corresponding to the purpose and use of the analysis.

[0082] The selection unit 18B selects an object to be displayed on the display screen of the display unit 14 according to the user instruction received by the input unit 13. The selection of the display object includes the selection of a sample and the selection of a template. The selection unit 18B displays an operation screen for selecting a display object on the display screen of the display unit 14 as a user interface. Information indicating the content of the data stored in the database 3 is displayed on the operation screen. The user can perform a selection operation on the operation screen using the input unit 13.

[0083] Specifically, the selection unit 18B selects the analysis equipment 4 (see Figure 1 ) selects at least two or more samples from a plurality of samples analyzed by at least one analysis machine 4. The selection unit 18B further selects a template from a plurality of templates in accordance with the selection operation of the user.

[0084] The display data generating unit 18C accesses the server 2 via the Internet 7, thereby obtaining the data file of the sample selected as the display object from the database 3. As described above, the data file includes the measurement data and measurement conditions of the sample of each analysis machine 4, the sample identification information, and the characteristic value of the sample extracted from the measurement data. In addition, the data file is associated with the physical property value of the sample.

[0085] The display data generating unit 18C extracts the measurement data of the analyzer 4 from the data file obtained from the database 3. Furthermore, the display data generating unit 18C extracts the characteristic quantity and physical property value of the sample specified by the template selected by the selection unit 18B. The display data generating unit 18C generates display data in a display format that can be displayed on the display screen using the extracted measurement data and the characteristic quantity and physical property value of the sample.

[0086] The display control unit 18 displays the display data generated by the display data generating unit 18C on the display screen of the display unit 14. When the input unit 13 receives a user instruction regarding the display format, the display control unit 18 changes the display format according to the user instruction. The display control unit 18 corresponds to an embodiment of the "display control unit" and the "login unit".

[0087] [Analysis system actions]

[0088] Next, the operation of the analysis system 100 will be described. In the following description, the template creation process and the display process performed by the viewer 1 will be mainly described.

[0089] (1) Template production processing

[0090] Figure 4 1 is a flowchart for explaining the template creation process in the viewer 1. Figure 4 The program of the flowchart is stored in advance in the ROM 11 of the viewer 1. The processing is realized by the CPU 10 executing the program.

[0091] When the viewer 1 receives an instruction to start template creation from the input unit 13, it starts Figure 4 The viewer 1 first displays the template creation screen on the display unit 14 in step S10. Figures 5 to 7 2 is a diagram showing an example of a template creation screen. The template creation screen can be created based on the data stored in the database 3.

[0092] Reference Figure 5 The template creation screen includes a first display area RGN1 and a second display area RGN2. The first display area RGN1 is configured to be able to switch between multiple labels for display. In the initial state of the template creation screen, only labels 101 and 102 exist in the first display area RGN1. Label 101 is a label for setting the physical property value of the sample (hereinafter also referred to as "property label"). Label 102 is a label for setting the calculation value obtained by performing calculation processing on one or more feature quantities (hereinafter also referred to as "calculation value label").

[0093] The user can add a new label in the first display area RGN1. The label creation can be performed in the following order. First, after the user clicks the button 107 shown in the first display area RGN1, a label creation screen is displayed in the first display area RGN1. On the screen, the user can set the device name of the analysis machine 4, the identifier of the data file, and the name of the label to be created.

[0094] The identifier of the data file is an identifier included in the file name of the data file. As described above, the identifier can be used to identify information that is not directly involved in the measurement of the analysis device 4.

[0095] The name of the tag can be set arbitrarily by the user. In addition, the name of the tag is the only identification information in a template file, and there are no multiple tags with the same name in a template file.

[0096] After the device name, identifier, and label name of the analysis device 4 are set on the label creation screen, a label is added to the first display area RGN1. The label name set when creating the label is marked on the label. Figure 5 In the example of , a plurality of labels 103 to 106 are added, and each label is labeled with the device name of the analysis machine 4 set when the label is created.

[0097] The plurality of labels 103 to 106 are respectively configured to display the type of feature quantity that can be obtained from the measurement data of the corresponding analysis machine 4. Specifically, label 103 displays the type of feature quantity obtained from the measurement data of a gas chromatograph (GC). Label 104 displays the type of feature quantity obtained from the measurement data of a liquid chromatograph (LC). Label 105 displays the type of feature quantity obtained from the measurement data of a gas chromatograph-mass spectrometer (GC-MS). Label 106 displays the type of feature quantity obtained from the measurement data of a nuclear magnetic resonance (NMR).

[0098] When the user clicks any of the tags 103 to 106, the content of the clicked tag will be displayed in the first display area RGN1. Figure 5 In the example of FIG. 1 , the content of the label 105 is displayed in the first display area RGN1 .

[0099] Tab 105 displays a text box 108 for specifying the analysis device 4, a text box 109 for specifying the identifier of the data file, and a text box 110 for specifying output items. Tab 105 further displays a text box 111 for specifying the compound name, a text box 114, and buttons 112 and 113.

[0100] The device name "GCMS" of the analysis device 4 is shown in the text box 108, and the identifier "AE" is shown in the text box 109. These pieces of information are set by the user on the label creation screen when the label 105 is created.

[0101] The output item determines the measurement result used for extracting the feature value among the plurality of analysis results obtained by the set analysis machine 4. The user can input the type of the measurement result in the text box 110. Figure 5 In the example, "identification result table" is input into the text box 110. In addition, a configuration may be adopted in which the type of measurement result is not input into the text box 110, or in addition thereto, the user can select a desired measurement result from a plurality of analysis results.

[0102] The label 105 shows the type of feature quantity that can be obtained from the data file determined based on the three information (analyzer, identifier, output item). However, among the three information, the identifier is not necessary and its designation may be omitted. In the above case, one label shows the type of feature quantity that can be obtained from the data file determined based on the analysis machine and the output item.

[0103] exist Figure 5 In the example of FIG. 1 , a data file having an identifier "AE" in the file name is extracted from a plurality of data files storing measurement data of a gas chromatograph-mass spectrometer (GC-MS). Then, the category of the feature quantity that can be obtained from the identification result table stored in the extracted data file is displayed in the label 105.

[0104] In label 105, the compound name of the characteristic quantity is specified in order to display the category of the characteristic quantity that can be obtained from the identification result table. Text box 114 is a user interface for specifying the compound name of the characteristic quantity that can be obtained from the identification result table. The user enters the compound name of the desired characteristic quantity into text box 111 and clicks button 112, thereby writing the compound name in text box 114. Figure 5 In the example of , when “styrene” is input in the text box 111 , and the button 112 is clicked, “styrene” is written in the text box 114 .

[0105] In addition to the above structure, the following configuration may be adopted: after clicking the “Set collectively” button 113 , a compound list is obtained from a comma separated values ​​(CSV) data file or the like, and all compound names included in the compound list are collectively added to the text box 114 .

[0106] Alternatively, the following structure may be adopted: after clicking the “Uniform Setting” button 113 , a compound list of the identification result table previously stored in the analysis data file or the like is obtained, and all compound names included in the compound list are uniformly added to the text box 114 .

[0107] In addition, these configurations may be configured such that the obtained compound list is displayed in the first display region RGN1, and after the user selects a compound name from the displayed compound list, the selected compound name is added to the text box 114. This can prevent differences in the expression of compound names.

[0108] Among the multiple compound names displayed in the text box 114, the user can select the desired compound name by clicking on the desired compound name using the input unit 13. After selecting a compound name from the multiple compound names in the text box 114, the category 116 of the characteristic quantity of the one compound name is displayed in the text box 115. The category 116 of the characteristic quantity is equivalent to the category of the characteristic quantity of the one compound name that can be obtained from the identification result table. For example, when "styrene" is selected in the text box 114, the category 116 of the characteristic quantity of styrene that can be obtained from the identification result table is displayed in the text box 114. Figure 5 In the example of FIG. 1 , m / z (mass to charge ratio), retention time, peak area, concentration, peak height, similarity, S / N, and threshold are shown in a text box 115 as a category 116 of characteristic quantities of styrene.

[0109] Check boxes 117 are arranged in each feature quantity category 116. The user can select a feature quantity category by operating the first display area RGN1 using the input unit 13. Specifically, the user selects a feature quantity category by checking ( Figure 5 The check box 117 arranged in the feature quantity category 116 displayed in the text box 115 can be used to select the feature quantity category. The selected feature quantity category is displayed in the second display area RGN2.

[0110] exist Figure 5 In the example of , "m / z" and "peak area" are checked in the text box 115. In this case, "m / z of styrene" and "peak area of ​​styrene" are selected and displayed in the second display region RGN2.

[0111] In the second display region RGN2, the categories of the feature quantities selected in the first display region RGN1 are displayed in the form of a list 123. Figure 5In the example of FIG. 1 , two feature quantities "GCMS_Styrene m / z" and "GCMS_Styrene peak area" are displayed in the list 123. The name of each feature quantity may include information of the tag 105 used to select the feature quantity. For example, the name of each feature quantity may include the name "GCMS" of the tag 105. Alternatively, the name of each feature quantity may include the device name and identifier of the analysis machine 4 corresponding to the tag 105.

[0112] Check boxes 124 are arranged in the categories of the feature quantities shown in the list 123. The user can select the feature quantity by checking the box ( Figure 5 By clicking the check box 124 (√ in the middle), it is possible to set whether to display or not display the corresponding feature quantity. In this way, it is possible to prevent some of the feature quantities used for machine learning, etc. from being displayed on the display unit 14. For example, in the calculation value label 102 described below, a feature quantity that is used to calculate the calculation value but does not need to be used in machine learning and does not need to be displayed is set not to be displayed.

[0113] The list 123 of the categories of feature quantities created in the second display area RGN2 can be registered in the storage unit 17 as a template. At this time, the user can give a unique name to the created template. Specifically, the user can input a name for identifying the template in the text box 120 of the second display area RGN2. The template can be given a name that allows the user to easily identify the purpose or use of the analysis using the template. Figure 5 In the example of FIG. 1 , a template for analyzing the strength of a tire as a sample is shown, and thus the name “tire strength template” is given. The user clicks the button 121 shown in the second display area RGN2 , thereby registering the “tire strength template” in the storage unit 17 .

[0114] The template creation process described above can be summarized in Figure 4 Flowchart of . Return Figure 4 After receiving the user's input operation on the template creation screen, the viewer 1 creates a template according to the input operation through steps S11 to S17, and registers the created template together with the name in the storage unit 17.

[0115] Specifically, when the user clicks the button 107 shown in the first display area RGN1 of the template creation screen, the display control unit 18 (template creation unit 18A) displays the label creation screen in the first display area RGN1 through step S11. After the device name, identifier, and label name of the analysis device 4 are set in the label creation screen, the display control unit 18 creates a label with the set name and adds it to the first display area RGN1.

[0116] Next, when the user clicks any one of the added plurality of labels 103 to 106 , the display control unit 18 (template creation unit 18A) selects the clicked label in step S12 and displays it in the first display region RGN1 .

[0117] Proceeding to step S13, the display control unit 18 displays the category 116 of the feature quantity that can be obtained from the data file determined based on the analysis machine 4, the identifier, and the output item in the text box 115 in the above-mentioned label. In step S13, the display control unit 18 displays the category of each feature quantity in a selectable manner by adding a check box 117 to each category 116 of the feature quantity that can be obtained.

[0118] Next, when the user checks the checkbox 117 added to the category 116 of each feature quantity, the display control unit 18 selects the category of the checked feature quantity in step S14. The process proceeds to step S15, and the display control unit 18 displays the selected category of the feature quantity in the second display area RGN2 in the form of a list 123. In step S15, the display control unit 18 adds a checkbox 124 to the category of each feature quantity shown in the list 123, thereby enabling display / non-display of the category of each feature quantity.

[0119] When the user checks the checkbox 124 added to each feature quantity category shown in the list 123 , the display control unit 18 performs step S16 to set display / non-display of each feature quantity category according to the input.

[0120] The processing of step S12 to step S16 is executed every time the user clicks any of the tabs 103 to 106. Finally, a list of the categories of the feature amounts selected for each tab is displayed in the list 123.

[0121] In step S17 , when the button 121 is clicked by the user, the display control unit 18 registers the list 123 of the types of feature quantities created in the second display region RGN2 together with the name of the input text box 120 in the storage unit 17 .

[0122] As described above, the first display area RGN1 that displays the categories of feature quantities as labels according to the types of the analysis machines 4 and the second display area RGN2 that displays the category set of feature quantities selected by the user are arranged and displayed on the template creation screen. Thus, the user can select a feature quantity in the first display area RGN1 while checking the display content of the second display area RGN2, so that the template can be easily created.

[0123] In addition, the types of feature quantities that can be obtained from the measurement data vary depending on the type of the analysis machine 4, and therefore the information to be displayed in the first display area RGN1 varies between the analysis machines 4. In the first display area RGN1, by providing tabs for each analysis machine 4, the user can select a feature quantity by opening a tab that matches the purpose or use of the analysis.

[0124] Furthermore, by setting a structure in which one label is set based on the analyzer 4, the identifier, and the output item (or the analyzer 4 and the output item), it is possible to display the categories of feature quantities obtained from the measurement data of one analyzer 4 in a segmented manner. This makes it easier to select the category of feature quantities, thereby facilitating the creation of templates.

[0125] Here, if Figure 5 As shown, in the first display area RGN1 of the template screen, in addition to the labels 103 to 106 for displaying the categories of feature quantities that can be obtained from the measurement data of the corresponding analysis machine 4, the attribute label 101 for setting the physical property value of the sample and the calculation value label 102 for setting the calculation value obtained by performing calculation processing on one or more feature quantities are displayed. The user can include the required physical property value and calculation value of the sample in the form of the category of the feature quantity in the template by operating these labels 101 and 102. In this way, the physical property value and calculation value of the sample can be used for analysis such as machine learning.

[0126] Figure 6 This shows the template creation screen when the attribute tab 101 is selected. Figure 6 As shown, a text box 130, a text box 131 and a button 132 for setting the physical property value of the sample are displayed in the property tag 101. The text box 131 is a user interface for specifying the physical property value name of the sample. The text box 130 is a user interface for writing the physical property value name in the text box 131.

[0127] The user can use the input unit 13 to input the name of the property value into the text box 130. Figure 6 In the example, “high temperature tan δ” (mechanical loss coefficient at high temperature (around 60° C.)) is output in the property value name text box 130 . In this state, if button 132 is clicked, the input property value name is written in the text box 131 .

[0128] In addition to the above configuration, the following configuration may be adopted: when the “set collectively” button 133 is clicked, a list of physical property values ​​is obtained from a CSV data file or the like, and all physical property value names included in the list are collectively added to the text box 131 .

[0129] Alternatively, the following structure may be adopted: after clicking the “Set collectively” button 133 , a list of physical property values ​​previously stored in a physical property value measurement data file or the like is obtained, and all compound names included in the list are collectively added to the text box 131 .

[0130] The physical property value name of the sample written in the text box 131 by the above processing is simultaneously added to the list 123 of the feature quantity categories shown in the second display area RGN2. Figure 6 In the example, "high temperature tanδ", "resin blending amount", and "Tg (glass transition temperature of tire)" are input in the text box 131. As a result, "attribute_high temperature tanδ", "attribute_resin blending amount", and "attribute_Tg" are added to the list 123 of the second display area RGN2. In addition, the name of each physical property value may include information (such as attribute) indicating the physical property value of the sample.

[0131] In the list 123, check boxes 124 are arranged according to the property values, similarly to the categories of feature quantities. Figure 6 (√ dot) check box 124 to set whether to display the corresponding physical property value.

[0132] Figure 7 This shows the template creation screen when the calculation value label 102 is selected. Figure 7 As shown, text boxes 140 to 142 for setting the calculated value, button 143, and setting tool 144 are displayed in the calculated value label 102. Text box 140 is a text box for setting the name of the calculated value, and text box 141 is a text box for setting a calculation formula for deriving the calculated value.

[0133] The user can use the setting tool 144 to set the calculation formula. The setting tool 144 includes the category of the feature quantity (including the physical property value) and the icon 145 representing the operation symbol (such as +, -, / , ×, etc.) displayed in the list 123 of the second display area RGN2. The user can create a calculation formula by selecting the category of the feature quantity and the operation symbol using the input unit 13. Figure 7 In the example, the calculated value "ratio X" is defined by the value obtained by dividing the "styrene peak area" by the "BR (butadiene) peak area" (= (styrene peak area) / (BR peak area)). In the above state, by clicking button 143, the created calculated value "ratio X" is written into text box 142.

[0134] The calculated value "ratio X" written in the text box 142 is simultaneously added to the list 123 of the types of feature quantities in the second display area RGN2. Figure 7In the example of , "operation value_ratio X" is added to the list 123. The name of the operation value may include information indicating the operation value (eg, operation value).

[0135] [Other structural examples]

[0136] (1-1) Feature quantity rearrangement function

[0137] On the template creation screen (refer to Figures 5 to 7 ) is configured so that the arrangement order of the feature quantity categories can be changed. Specifically, the user can change the arrangement order to a suitable order for the purpose or use of the analysis by performing a move operation (drag and drop) using the input unit 13 while selecting a feature quantity category.

[0138] (1-2) Grouping function of feature quantities

[0139] Furthermore, the list 123 is configured to group the categories of the plurality of feature quantities. The user can group the categories by moving (dragging and dropping) the categories of the feature quantities using the input unit 13. Alternatively, the CPU 10 of the viewer 1 can group the categories according to a predetermined rule.

[0140] For example, the types of the plurality of feature quantities in the input list 123 may be classified into explanatory variables and target variables in machine learning, or the types of the plurality of feature quantities may be classified into feature quantities based on measurement conditions, feature quantities based on measurement results, and feature quantities based on physical property values.

[0141] (2) Display processing

[0142] Next, the display processing performed by the viewer 1 will be described.

[0143] Figure 8 1 is a flowchart for explaining the display processing in the viewer 1. Figure 8 The program of the flowchart is stored in advance in the ROM 11 of the viewer 1. The processing is realized by the CPU 10 executing the program.

[0144] When the browser 1 receives an instruction to start display operation from the input unit 13, it starts Figure 8 The viewer 1 first displays an operation screen for selecting a display object on the display unit 14 as a user interface in step S20. Fig. 9 and Fig.10 2 is a diagram showing an example of an operation screen. The operation screen can be generated based on the data stored in the database 3.

[0145] An icon 152 for selection operation, an icon 154, and an icon 155 for display operation are displayed in a display area 151 of the operation screen. When the user clicks the icon 152 for sample selection, the display Fig. 9 In the display area 160 of the sample selection operation screen, the sample selection operations by the various analysis machines 4 (see Figure 1 ) is a list of samples analyzed by any of the following methods. Fig. 9 In the example of , the sample names (Sample01 to Sample04) of the four samples are displayed. In addition to the sample name, the sample identification information may also display the product name or batch number of the sample. In the following description, it is assumed that the four samples are tires.

[0146] In addition, when the number of samples displayed in the display area 160 is large, the user can operate the input unit 13 Fig. 9 The number of samples displayed in the display area 160 can be narrowed down by switching to the operation screen. Fig. 9 In the example, the user can narrow the range of the number of samples according to the type of analysis machine. Specifically, an icon 163 for narrowing the number of samples is configured in the display area 162 of the operation screen. The icon 163 shows an overview of the categories of multiple analysis machines 4. The user can select an analysis machine 4 by clicking the analysis machine 4 corresponding to the measurement data to be displayed. At this time, the user can select two or more analysis machines 4 at the same time. Moreover, by clicking "All" in the icon 163, all multiple analysis machines 4 can be selected. After selecting an analysis machine 4 in the icon 163, the samples measured by the selected analysis machine 4 are extracted, and the overview of the extracted samples is displayed in the display area 160 in the form of a table.

[0147] In the display area 162 of the operation screen, the type of at least one analytical instrument 4 used for measurement is displayed for each sample. For example, for a sample named "Sample01", LC, GC-MS, and TEM are displayed as analytical instruments 4 used for measurement. For a sample named "Sample02", GC-MS and TEM are displayed.

[0148] The attribute value of each sample is displayed in the display area 164 of the operation screen. The attribute value of the sample includes the physical property value of the sample. Fig. 9 In the example of , Tg and high temperature tanδ of the tire are displayed as physical property values ​​of the sample. In addition, the physical property values ​​are attribute values ​​given from outside the analysis system 100, so there may be cases where the physical property values ​​are not available depending on the sample. In addition, there may be cases where the types of physical property values ​​differ between samples.

[0149] The user uses the input unit 13 to operate Fig. 9The sample to be displayed can be selected from the operation screen. Fig. 9 In the example, by checking ( Fig. 9 Check boxes are arranged for each sample name (√ dot) to select the sample.

[0150] Next, when the user clicks the icon 154 for selecting a feature quantity displayed in the area 151 of the operation screen, the display unit 14 displays Fig.10 The operation screen for selecting feature values ​​is shown. Fig.10 In the area 166 of the operation screen for selecting feature values, a list of the plurality of templates created in the template creation process is displayed. Fig.10 In the example of , a total of five templates are displayed in the form of icons. The name of the corresponding template is shown in each icon.

[0151] For example, when the icon 170 showing "tire strength template" is clicked, an image 172 showing the contents of the tire strength template is displayed on the operation screen. The template creation screen (see FIG. 1 ) is displayed in the tire strength template image 172. Figures 5 to 7 )A list 123 of categories of feature quantities produced.

[0152] return Figure 8 After receiving the user's selection operation on the operation screen, the viewer 1 selects a sample to be displayed according to the selection operation through steps S21 to S23 (refer to Fig. 9 ) and templates (refer to Fig.10 ).

[0153] In step S24 , the viewer 1 generates display data. Specifically, the viewer 1 accesses the server 2 via the Internet 7 , thereby obtaining the data file of the sample selected in step S23 from the database 3 .

[0154] Next, the viewer 1 extracts the feature quantity and physical property value specified by the template selected in step S23 from the obtained data file for each sample. The viewer 1 generates display data based on the extracted data in step S25.

[0155] Next, when the user clicks the display operation icon 155 displayed in the area 151 of the operation screen, the viewer 1 proceeds to step S25 and displays the generated display data on the display screen of the display unit 14 . Fig.11 2 is a diagram schematically showing an example of a display screen of the viewer 1. The viewer 1 is configured so that the display format of display data can be switched according to a user instruction.

[0156] exist Fig.11In the display screen example, the display area is set according to the sample selected as the display object. Specifically, the display area 181 is set for the sample named "Sample01", the display area 182 is set for the sample named "Sample02", and the display area 183 is set for the sample "Sample03". In the display screen example, multiple display areas 181, 182, 183 corresponding to multiple samples Sample01 to Sample03 are displayed in a list format. The multiple display areas 181 to 183 as a whole constitute a "list display area" for displaying each sample in a list format. In addition, the user can scroll the multiple display areas 181 to 183 displayed in the list display area in the up and down direction (equivalent to the vertical direction of the paper) by operating the input unit 13.

[0157] The display area for each sample displays the sample identification information, the measurement data of the analyzer 4, and the attribute values ​​(feature values ​​and physical property values) of the sample. Fig.11 In the example of , the sample name “Sample01” as sample identification information, the chromatogram 190 as measurement data, and the list 186 in which the feature quantities and physical property values ​​are summarized are displayed in the display area 181 .

[0158] By clicking the cursor 192 disposed at both ends of the chromatogram 190 in the vertical direction, the plurality of chromatograms 190 can be scrolled and displayed in the vertical direction. Each chromatogram can also record measurement conditions such as intensity and time. In addition, the following structure can be set: when the cursor 192 in the display area 181 is clicked to scroll the chromatogram 190, the chromatograms displayed in the other display areas 182 and 183 are also scrolled and displayed in a manner following the chromatogram 190 in the display area 161.

[0159] Listing 186 is in Fig.10 The characteristic quantities and physical property values ​​of the sample are recorded in the list 123 in the template selected in the operation screen. In addition, the characteristic quantities and physical property values ​​can be displayed in a classified manner in the list 186. For a sample, the user can refer to the measurement data of the analyzer 4 and the attribute values ​​(characteristic quantities and physical property values) at the same time. However, the characteristic quantities and physical property values ​​set not to be displayed in the list 123 of the tire strength template (in Fig.10 In the example of styrene, m / z and ratio (X) are not shown in Listing 186.

[0160] Icons 201 to 204 for switching the measurement data displayed in each display area are arranged above the display area 181. The icons 201 to 204 correspond to the SEM image, the TEM image, the mass spectrum (MS), and the chromatogram, respectively. Fig.11In the example of FIG. 2 , it is assumed that in response to a user clicking the icon 204 , a chromatogram is displayed in each display area.

[0161] The display of icons 201 to 204 is not limited thereto, and can be appropriately changed according to the analysis data of the analysis machine 4 selected as the display target. For example, when the analysis machine 4 selected as the display target does not include SEM, the display of icon 201 can be omitted.

[0162] A filter icon 205 for filtering the measurement data displayed in each display area is further arranged above the display area 181. The icon 205 can be used to filter the measurement results displayed in the display area when the measurement data includes a plurality of measurement results.

[0163] exist Fig.11 In the example of the display screen of , the display area 182 and the display area 183 include the same structure as the display area 183. That is, for a plurality of samples to be displayed, the same type of measurement data, the same type of characteristic quantities and physical property values ​​are arranged and displayed in a list format on the display screen. Thus, the user can compare and reference the same type of measurement data among a plurality of samples. Furthermore, the user can compare and reference the same type of characteristic quantities and physical property values ​​among a plurality of samples.

[0164] return Figure 8 After the viewer 1 displays the display data on the display screen of the display unit 14 in step S25, it proceeds to step S26 to determine whether the input unit 13 has received a user instruction for changing the display format. Fig.11 As described in the display screen example of FIG. 1 , icons (icons 201 to 205, etc.) for changing the display format are displayed on the display screen. The user can switch the display format by clicking these icons.

[0165] When the input unit 13 receives the user's instruction to change the display format (Yes in S26), the viewer 1 returns to the process of step S24 and changes the display data according to the user's instruction. The viewer 1 displays the changed display data on the display screen of the display unit 14 in step S26.

[0166] Then, the viewer 1 determines in step S27 whether the input unit 13 has received a user instruction for changing the display object. Fig.11 As described in the display screen example of FIG. 1 , an icon 152 for selecting a display object and an icon 154 for selecting a feature value are displayed on the display screen. Fig.11 In the example of the display screen shown, if the user clicks the icon 152, the display unit 14 changes from Fig.11 The display switches to Fig. 9The sample selection operation screen shown in FIG. 1 is used to select the sample to be displayed. The user can select the sample to be displayed on the operation screen. Fig.11 In the example of the display screen of FIG. 15 , if the user clicks icon 154, Fig.11 The display switches to Fig.10 The user can change the feature quantity and property value to be displayed by performing a selection operation for changing the template on the operation screen.

[0167] When the input unit 13 receives a user instruction (click of the icon 152 or the icon 154) for changing the display object (Yes in S28), the viewer 1 returns to the process of step S20 and displays the display object on the display unit 14. Fig. 9 or Fig.10 After receiving the user's selection operation, the viewer 1 executes the processing of steps S22 to S24 again, thereby selecting the sample, characteristic quantity and physical property value to be displayed after the change. After the viewer 1 generates the display data in step S24, it displays the generated display data on the display screen of the display unit 14 in step S25.

[0168] As described above, according to the viewer 1 of this embodiment, a plurality of measurement results associated with one sample can be displayed. Furthermore, the characteristic value of the sample can be displayed together with the measurement result for each sample. Thus, the user can refer to the measurement result and the characteristic value for each sample at the same time. Furthermore, the characteristic values ​​can be compared between a plurality of samples.

[0169] Furthermore, according to the viewer 1 of the present embodiment, since a set of feature quantity categories is registered as a template, the user can freely change the feature quantity used for analysis such as machine learning by changing the template to be used.

[0170] Based on these advantages, the viewer 1 of this embodiment can improve the convenience of users who analyze measurement results using various analytical devices 4. This facilitates horizontal analysis of measurement results of various analytical devices 4, thus contributing to efficient and high-precision analysis.

[0171] [form]

[0172] Those skilled in the art will appreciate that the above-described multiple exemplary embodiments are specific examples of the following forms.

[0173] (Item 1) A viewer for complex measurement analysis of one form includes: a storage unit for storing, for each of a plurality of types of analytical instruments, categories of feature quantities obtained from measurement results of the analytical instruments; a display control unit for displaying the categories of feature quantities stored in the storage unit on a display screen in a selectable manner; and a registration unit for assigning a name to a category set of feature quantities selected by an operator among the categories of feature quantities and registering the name. The display control unit displays a first display area and a second display area in a row on the display screen, the first display area displaying the categories of feature quantities as labels according to the types of analytical instruments, and the second display area displaying the category set of feature quantities selected by the operator.

[0174] According to the composite measurement integrated viewer described in the first item, a first display area in which the categories of feature quantities are labeled according to the types of analytical instruments and a second display area in which the category set of feature quantities selected by the operator are displayed in a row on the display screen, so that the operator can select a feature quantity in the first display area while confirming the content of the second display area. In addition, in the first display area, by setting a label for each analytical instrument, the operator can select a feature quantity by opening a label that matches the purpose or use of the analysis. As a result, the operator can easily create a template as a category set of feature quantities.

[0175] (Item 2) In the composite measurement integrated viewer described in Item 1, an identifier for identifying a data file including a measurement result of an analyzer is displayed in each tab of the first display area. The display control means displays a type of feature quantity that can be obtained from the data file whose file name includes the identifier, according to each tab of the first display area.

[0176] Thus, by setting a structure in which one label is set based on the type of analytical instrument and the identifier of the data file, the categories of feature quantities obtained from the measurement results of one analytical instrument can be subdivided and displayed in the label. This makes it easier for the operator to select the category of feature quantities, thereby facilitating the creation of templates.

[0177] (Item 3) In the complex measurement integrated viewer described in Item 1 or Item 2, the display control means displays the names of the categories of the feature quantities selected by the operator in the second display area in the form of a list.

[0178] Thus, the operator can easily confirm the type of the selected feature amount from the list displayed in the second display area, and can thus smoothly perform the operation of selecting the type of the feature amount.

[0179] (Item 4) In the composite measurement integrated viewer described in Item 3, the display control means further displays icons in the second display area, wherein the icons are used to set display or non-display in the display screen for the categories of feature quantities displayed in the list.

[0180] Thus, the operator can set, for example, feature quantities in the selected feature quantity category that are used to calculate a calculated value but do not need to be used in machine learning and do not need to be displayed to be non-displayed.

[0181] (Item 5) In the composite measurement integrated viewer described in Item 3, the display control unit groups the categories of the plurality of feature quantities displayed in the second display area.

[0182] This allows a plurality of feature quantities to be classified according to the purpose or use of the analysis, thereby making it possible to improve the efficiency of the analysis work.

[0183] (Item 6) In the complex measurement integrated viewer described in Item 3, the display control unit is configured to be able to change the arrangement order of the categories of the plurality of feature quantities displayed in the second display area.

[0184] This allows the user to display a plurality of feature quantities in order of priority according to the purpose or use of the analysis.

[0185] (Item 7) In the composite measurement integrated viewer described in Items 1 to 6, the display control means further displays a label in the first display area, the label being used to set a category of a physical property value of the sample obtained from information other than the measurement result.

[0186] Thus, the physical property values ​​of the desired samples can be included in the template as the category of the feature quantity, so that the physical property values ​​can be displayed and used for machine learning.

[0187] (Item 8) In the composite measurement integrated viewer described in Items 1 to 7, the display control unit further displays a label in the first display area, wherein the label is used to set a calculation value calculated using one or more feature quantities.

[0188] Thus, the required calculation value can be included in the template as a category of feature quantity, so that the calculation value can be displayed and used for machine learning.

[0189] (Item 9) In the composite measurement integrated viewer described in Items 1 to 8, the plurality of analytical instruments include at least one of a liquid chromatograph, a gas chromatograph, a liquid chromatograph-mass spectrometer, and a gas chromatograph-mass spectrometer. The types of characteristic quantities stored in the storage device include at least one of a retention time and a peak area of ​​a chromatogram.

[0190] (Item 10) A program in one form causes a computer to operate as the composite measurement integrated viewer described in Items 1 to 9.

[0191] Thus, the computer can provide a user interface that facilitates lateral analysis of measurement results of a variety of analytical instruments.

[0192] Furthermore, it has been planned since the initial application that, regarding the above-mentioned embodiments and modifications, the configurations described in the embodiments may be appropriately combined, including combinations not described in the specification, within a range that does not cause inconvenience or contradiction.

[0193] The embodiments disclosed this time should be considered as illustrative in all aspects and not restrictive. The scope of the present invention is indicated by the scope of the claims rather than the above description, and is intended to include all changes within the meaning and scope equivalent to the scope of the claims.

[0194] Description of symbols

[0195] 1: Composite measurement integrated viewer

[0196] 2: Server

[0197] 3: Database

[0198] 4: Analytical Machine

[0199] 5: Device body

[0200] 6: Information processing device

[0201] 7: Internet

[0202] 11, 21, 61: ROM

[0203] 12, 22, 62: RAM

[0204] 13, 23, 63: Input

[0205] 14, 64: Display unit

[0206] 16, 26, 66: Communication I / F

[0207] 17: Storage

[0208] 18: Display control unit

[0209] 18A: Template making department

[0210] 18B: Selection Department

[0211] 18C: Display data generation unit

[0212] 27, 67: Data acquisition department

[0213] 28: Physical property value acquisition department

[0214] 29: Synthesis Department

[0215] 68: Feature extraction unit

[0216] 69: Information Acquisition Department

[0217] 100: Horizontal analysis system of composite analysis device

[0218] 101-106: Label

[0219] 107, 112, 113, 121, 132, 133, 143: Button

[0220] 108-111, 114, 115, 120, 130, 131, 140-142: Text box

[0221] 116: Feature type

[0222] 117, 124: Checkbox

[0223] 123, 186: List

[0224] 144: Setting tools

[0225] 145, 152-155, 163, 170, 201-205: Icon

[0226] RGN1: First display area

[0227] RGN2: Second display area.

Claims

1. A composite measurement integrated viewer, comprising: A storage device for storing, for each of a plurality of types of analysis machines, categories of feature quantities used for machine learning obtained from measurement results of the analysis machines; a display control unit that displays the categories of the feature quantities stored in the storage unit on a display screen in a selectable manner; as well as The registration means assigns a name to a category set of feature quantities selected by the operator among the categories of the feature quantities and registers the name, The display control mechanism arranges and displays a first display area and a second display area on the display screen, wherein the first display area displays the categories of the feature quantities as labels according to the types of the analysis machines, and the second display area displays the category set of the feature quantities selected by the operator.

2. The composite measurement integrated viewer according to claim 1, wherein an identifier for identifying a data file is displayed in each label of the first display area, the data file including the measurement result of the analysis machine, The display control means displays, for each label in the first display area, a category of a feature amount obtainable from a data file having a file name including the identifier. 3 . The composite measurement integrated viewer according to claim 1 , wherein the display control unit displays the names of the categories of the feature quantities selected by the operator in the second display area in the form of a list.

4. The composite measurement integrated viewer according to claim 3, wherein the display control mechanism further displays icons in the second display area, and the icons are used to set display or non-display in the display screen for the categories of feature quantities displayed in the list. 5 . The composite measurement integrated viewer according to claim 3 , wherein the display control unit is capable of grouping the categories of the plurality of feature quantities displayed in the second display area. 6 . The composite measurement integrated viewer according to claim 3 , wherein the display control unit is configured to be able to change the arrangement order of the categories of the plurality of feature quantities displayed in the second display area.

7. The composite measurement integrated viewer according to any one of claims 1 to 6, wherein the display control means further displays a label in the first display area, the label being used to set a category of a physical property value of the sample obtained from information other than a measurement result. 8 . The composite measurement integrated viewer according to claim 1 , wherein the display control unit further displays a label in the first display area, the label being used to set a calculation value calculated using one or more feature quantities.

9. The composite measurement integrated viewer according to any one of claims 1 to 6, wherein the plurality of analytical machines include at least one of a liquid chromatograph, a gas chromatograph, a liquid chromatography-mass spectrometer, and a gas chromatography-mass spectrometer, The types of feature quantities stored in the storage means include at least one of retention time and peak area of ​​a chromatogram. 10 . A computer program product, comprising a program, wherein when the program is executed by a computer, the computer is caused to operate as the composite measurement integration viewer according to any one of claims 1 to 9 .

Images