Analysis System

Abstract

To accurately diagnose the state of a column.SOLUTION: An analysis system includes a storage unit that acquires a separation degree in a column for separating components of a sample gas and stores the separation degree of the column in association with the time and a prediction unit that predicts the state of the column on the basis of separation degree data indicating the plurality of separation degrees of the column associated with the time.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an analysis system. [Background technology]

[0002] 2. Description of the Related Art There is an analysis system that includes a column for separating components of a sample gas and is capable of analyzing a plurality of components contained in the sample gas (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2005-300397 A Summary of the Invention [Problem to be solved by the invention]

[0004] In such an analytical system, the condition of the column, i.e., the degree of separation of the multiple components contained in the sample gas, affects the analytical accuracy, and the condition of the column, such as deterioration, has been judged based on the experience of the operator.

[0005] Therefore, an object of the present invention is to accurately diagnose the state of a column. [Means for solving the problem]

[0006] In order to solve the above problem, the analytical system of the first invention may include a memory unit that acquires the separation degree of a column for separating components of a sample gas and stores the separation degree of the column in correspondence with a time, and a prediction unit that predicts the state of the column based on separation degree data indicating multiple separation degrees of the column associated with a time.

[0007] In order to solve the above problem, the analytical system of the second invention may be an analytical system of the first invention, in which the resolution data is generated based on the resolution of the column from a predetermined time ago onwards.

[0008] In order to solve the above problem, the analytical system of the third invention is the analytical system of the first or second invention, and the prediction unit may perform a first prediction to predict the state of the column after a first time has elapsed, and a second prediction to predict the state of the column after a second time that is longer than the first time, based on the resolution data.

[0009] In order to solve the above-mentioned problems, the analysis system of a fourth invention is the analysis system of the third invention, wherein the prediction unit performs the first prediction and the second prediction based on different calculation methods.

[0010] In order to solve the above problem, the analytical system of a fifth invention is the analytical system of any one of the first to fourth inventions, wherein the prediction unit predicts the future resolution of the column as the state of the column, and may further include a setting unit that sets a threshold value for comparison with the future resolution of the column, and a judgment unit that compares the future resolution of the column with the threshold value to judge whether or not the column needs to be replaced.

[0011] In order to solve the above problem, an analytical system according to a sixth aspect of the present invention is an analytical system according to any one of the first to fifth aspects of the present invention, wherein the memory unit stores the resolution of the multiple columns in correspondence with identification numbers of the multiple columns and a time, respectively, and the prediction unit may predict the state of the multiple columns, respectively.

[0012] In order to solve the above problem, an analytical system according to a seventh aspect of the present invention, in the analytical system according to any one of the first to sixth aspects of the present invention, may further include an output unit that outputs the state of the column predicted by the prediction unit. Effect of the Invention

[0013] According to the analysis system of the present invention, the deterioration state of the column can be accurately diagnosed. [Brief description of the drawings]

[0014] [Figure 1] 1 is a block diagram showing a schematic configuration of an analysis system according to an embodiment of the present invention. [Diagram 2] FIG. 4 is an explanatory diagram for explaining calculation of a degree of resolution in the analysis system according to the present embodiment. [Diagram 3] 1 is a graph showing a trend of peak resolution in the analysis system according to the present embodiment. [Figure 4] FIG. 4 is an explanatory diagram showing a display example of an output unit in the analysis system according to the present embodiment. [Diagram 5] FIG. 4 is an explanatory diagram showing a display example of an output unit in the analysis system according to the present embodiment. [Figure 6] FIG. 4 is an explanatory diagram showing a display example of an output unit in the analysis system according to the present embodiment. [Figure 7] 4 is a flowchart showing the operation of the analysis system according to the present embodiment. [Figure 8] 10 is a flowchart showing a modified example of the operation of the analysis system according to the present embodiment. [Figure 9] FIG. 13 is a block diagram showing a modified example of the configuration of the analysis system according to the present embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0015] The analysis system according to this embodiment performs monitoring and control of a process in a plant or the like, samples a sample separated from the process, measures the concentration of each component contained in the sample (sampled gas),

[0016] The configuration of the analysis system according to this embodiment will be described with reference to FIG.

[0017] 1, the analysis system 1 includes an analysis device 11 that separates and detects a plurality of components contained in a sample, and an information processing device 12 that is connected to the analysis device 11 and processes information on the detection results of the analysis device 11. The analysis system 1 can include a plurality of analysis devices 11, and the information processing device 12 can process information on the detection results of these plurality of analysis devices 11.

[0018] The analytical device 11 is provided with a sample introduction section 21 for introducing a specimen, which is a sample gas, into the analytical device 11. The sample introduction section 21 is connected to a process in a plant (not shown), and a sample (sampling gas) separated from the process and sampled is supplied to the sample introduction section 21. The sample introduction section 21 is also connected to a carrier gas cylinder (not shown), and a carrier gas stored in the carrier gas cylinder is supplied to the sample introduction section 21.

[0019] When the sample gas is in liquid form, the sample introduction section 21 may include a vaporizer (not shown) so that the liquid sample can be vaporized and introduced into the column 22. The sample introduction section 21 may also include an adjuster in a conduit connected to a carrier gas cylinder or the like so that the flow rate of the carrier gas or the like can be appropriately adjusted. The sample introduction section 21 supplies the column 22 with the sample gas and the carrier gas.

[0020] The column 22 is configured to separate the sample gas and carrier gas supplied from the sample introduction section 21 along the way. The column 22 is provided with a stationary phase such as an adsorbent or a liquid phase, and these stationary phases are adapted to cause interactions such as adsorption and distribution with the sample components contained in the sample gas.

[0021] This interaction selectively delays each sample component contained in the sample gas, resulting in differences in the arrival times of each sample component at the detector 23 (each sample component is separated). For example, the column 22 is configured as a packed column or a capillary column, but the configuration is not particularly limited as long as it can separate the sample gas and the carrier gas. Each sample component of the sample gas separated by the column 22 is supplied to the detector 23.

[0022] The detector 23 is for detecting each sample component of the sample gas separated in the column 22. The analysis device 11 converts information such as the detection result in the detector 23 into an electric signal and transmits it to the information processing device 12. The detection result in the detector 23 is, for example, a chromatogram with the horizontal axis representing time and the vertical axis representing signal intensity.

[0023] The information processing device 12 includes a storage unit 31, a calculation unit 32, a prediction unit 33, a determination unit 34, a setting unit 35, and an output unit 36. The information processing device 12 includes one or more processors. In one embodiment, the "processor" is a general-purpose processor or a dedicated processor specialized for a specific process, but is not limited to these. The information processing device 12 is communicably connected to each component of the analysis system 1, and may control the operation of the entire analysis system 1.

[0024] The storage unit 31 stores information received from the analysis device 11. The storage unit 31 may store, for example, a system program, an application program, a log data file, various data received from a manufacturer, and the like, as information for controlling the analysis system 1. The storage unit 31 includes any storage module including a random access memory (RAM), a read-only memory (ROM), a hard disk drive (HDD), and a solid state drive (SSD). The storage unit 31 may function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 31 is not limited to being built into the information processing device 12, and may be an external database or an external storage module such as a secure digital (SD) card or a universal serial bus (USB) memory.

[0025] The calculation unit 32 reads out the information stored in the memory unit 31 and performs various calculation processes. As the calculation process, the calculation unit 32 calculates, for example, the concentration and peak separation of each sample component based on the detection result in the detector 23. The calculation unit 32 stores the result of the calculation process in the memory unit 31.

[0026] Here, the peak resolution is a calculated value that indicates the separation state of the component peaks of each sample component, which is the detection result in detector 23, and the calculation of the peak resolution in calculation unit 32 can employ a known calculation method.

[0027] For example, the peak resolution is calculated from the retention times and half-widths of two peaks according to the following formula (1). X=2(t1-t2) / (1.699(tw1-tw2))···(1) Here, X is the peak resolution, t1 is the retention time of one component peak, t2 is the retention time of the other component peak, tw1 is the half-width of one component peak, and tw2 is the half-width of the other component peak (see Figure 2).

[0028] The calculation unit 32 stores the result of the calculation process based on the formula (1) in the storage unit 31. Specifically, the calculation unit 32 stores the calculated peak resolution X in the storage unit 31 in association with the detection time.

[0029] The prediction unit 33 reads out the peak resolution from a predetermined time ago onward (peak resolution for a predetermined time) from the storage unit 31, and generates resolution data for the predetermined time (corresponding to the measured line in FIG. 3) based on the peak resolution for the predetermined time. Here, for example, the prediction unit 33 can generate a moving average of the peak resolution for the past 14 days as the resolution data.

[0030] Furthermore, the prediction unit 33 predicts the predicted peak resolution after a predetermined time (first time) has elapsed from the generated resolution data using a Kalman filter. Here, for example, the prediction unit 33 can predict the predicted peak resolution after 30 days (corresponding to the first prediction line in FIG. 3) using the Kalman filter.

[0031] Furthermore, the prediction unit 33 may predict a predicted peak resolution after a predetermined time (second time) longer than the first time has elapsed from the generated resolution data using linear regression analysis. Here, for example, the prediction unit 33 can predict a predicted peak resolution after 90 days (corresponding to the second prediction line (dashed line) in FIG. 3) using linear regression analysis.

[0032] Of course, the prediction unit 33 stores the prediction result and the like in the storage unit 31. Specifically, the prediction unit 33 stores in the storage unit 31 the separation data for a predetermined time period and the predicted peak separation after the predetermined time period has elapsed in association with at least one of the generation time and the prediction time.

[0033] The judgment unit 34 reads out the predicted peak resolution and the threshold value from the storage unit 31 and compares them. Here, the threshold value is an object to compare the predicted peak resolution with and serves as a criterion for diagnosing the state of the column 22 (a comparison criterion value for the peak resolution).

[0034] When the predicted peak resolution is greater than the threshold value, the determining unit 34 determines that the column 22 is in a healthy state or that it is not time to replace the column 22. On the other hand, when the predicted peak resolution is equal to or less than the threshold value, the determining unit 34 determines that the column 22 is not in a healthy state or that it is time to replace the column 22.

[0035] Alternatively, there may be multiple thresholds. For example, in the case where two thresholds, a first threshold and a second threshold, are set, the judgment unit 34 judges that the column 22 is in a healthy state or that it is not time to replace the column 22 (normal) when the predicted peak separation is greater than the first threshold. Then, the judgment unit 34 judges that the column 22 is in a healthy state but has begun to deteriorate or that it may be time to replace the column 22 after a predetermined period of time has elapsed (quasi-abnormal) when the predicted peak separation is greater than the second threshold and equal to or less than the first threshold. Furthermore, the judgment unit 34 judges that the column 22 is not in a healthy state or that it is time to replace the column 22 (abnormal) when the predicted peak separation is equal to or less than the second threshold.

[0036] The setting unit 35 performs various settings of the analysis system 1. As settings of the analysis system 1, the setting unit 35 can perform settings of, for example, the flow rates (regulators) of the sampling gas and carrier gas in the analysis device 11 and the sensitivity of the detector 23, and settings of the calculation method and prediction (first time and second time) in the information processing device 12, and the like.

[0037] The setting unit 35 may include one or more input interfaces that receive an input operation by a user and obtain input information based on the user's operation. For example, the setting unit 35 may be a physical key, a capacitive key, a pointing device, a touch screen that is integrated with, for example, a display of the output unit 36 ​​described later, or a microphone that receives voice input. Of course, the configuration of the setting unit 35 is not limited to these.

[0038] The output unit 36 ​​includes one or more output interfaces that read various information from the storage unit 31 and notify an operator of the information. The output unit 36 ​​can output, as various information, for example, a prediction result of the prediction unit 33 and a judgment result of the judgment unit 34.

[0039] For example, the output unit 36 ​​may be configured as a display that outputs information as an image, or a speaker that outputs information as sound. Of course, the output unit 36 ​​is not limited to these configurations. In addition, the output unit 36 ​​may be configured integrally with the control device 12, or may be provided separately.

[0040] The analysis system 1, having the above-mentioned configuration, can accurately diagnose the state of the column 22. The functions of the information processing device 12 can be realized by executing a computer program (program) on a processor included in the information processing device 12. That is, the functions of the information processing device 12 can be realized by software. The computer program causes a computer to execute the processing of steps included in the operation of the information processing device 12, thereby causing the computer to realize functions corresponding to the processing of each step. That is, the computer program is a program for causing a computer to function as the information processing device 12.

[0041] Here, the computer program may be recorded on a computer-readable recording medium. The computer-readable recording medium may be, for example, a magnetic recording device, an optical disk, a magneto-optical recording medium, or a semiconductor memory. The program may be distributed, for example, by selling, transferring, or lending a portable recording medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. The program may be distributed by storing the program in the storage of a server and transferring the program from the server to another computer via a network. The program may be provided as a program product.

[0042] A computer temporarily stores, for example, a program recorded on a portable recording medium or a program transferred from a server in a main storage device. Then, the computer reads the program stored in the main storage device with a processor and executes processing according to the read program with the processor. The computer may read the program directly from a portable recording medium and execute processing according to the program. The computer may execute processing according to the received program each time a program is transferred from the server to the computer. Such processing may be executed by a so-called ASP (Application Service Provider) type service that realizes functions only by issuing execution instructions and obtaining results without transferring a program from the server to the computer. Programs include information used for processing by a computer and equivalent to a program. For example, data that is not a direct instruction to a computer but has a nature that specifies computer processing corresponds to "something equivalent to a program."

[0043] A part or all of the functions of the information processing device 12 may be realized by a dedicated circuit included in the information processing device 12. That is, a part or all of the functions of the information processing device 12 may be realized by hardware. Furthermore, the information processing device 12 may be realized by a single information processing device, or may be realized by cooperation of multiple control devices.

[0044] A display example of the output unit 36 ​​in the analysis system according to this embodiment will be described with reference to FIGS.

[0045] When the output unit 36 ​​is a display that outputs information as an image, the output unit 36 ​​outputs to the first screen 36A information indicating the state of the column 22. For example, as shown in Fig. 4, the first screen 36A has information on the identification numbers of the multiple analysis devices 11 and information on the state of the column 22 in the analysis device 11 corresponding to each identification number.

[0046] The identification numbers of the multiple analytical devices 11 are displayed in the "ID" column. For example, the "ID" column displays "001," "002," "003," and so on, as identification numbers for identifying the multiple analytical devices 11, respectively.

[0047] The state of column 22 in the analyzer 11 corresponding to each identification number is displayed in the "GC Health" column. For example, in the "GC Health" column, a circle mark indicating "healthy," a triangle mark indicating "pre-anomaly," and a cross mark indicating "anomaly" are displayed as the state of column 22 in the analyzer 11 corresponding to each identification number.

[0048] Of course, the analytical system according to the present invention is not limited to displaying the column state with marks of different shapes as described above. For example, the analytical system according to the present invention may display the column state with marks of different colors, etc. Furthermore, the analytical system according to the present invention is not limited to predicting the column state in three stages, normal, near-abnormal, and abnormal, as described above. For example, the analytical system according to the present invention may predict the column state in two stages or four or more stages. In this case, the output unit in the analytical system may display marks of different shapes or marks of different colors so that the column state can be identified in two stages or four or more stages.

[0049] The first screen 36A also has update information for the status diagnosis of column 22. The update information for the status diagnosis of column 22 is displayed in an "All Log" field in the upper part of the first screen 36A. For example, the "All Log" field displays the date, time, identification number, and the like as update information for the status diagnosis of column 22, allowing the operator to recognize when the status diagnosis of column 22 in each analyzer 11 was updated.

[0050] Furthermore, the first screen 36A has information indicating that settings, etc. have not been input. The information indicating that settings, etc. have not been input is displayed in the "GC Health" column. For example, in the "GC Health" column, a star mark is displayed as information indicating that settings, etc. (e.g., thresholds) have not been input, indicating that there is a cause for the non-input.

[0051] Furthermore, the output unit 36 ​​has a screen link function for the first screen 36A. For example, when the identification number of the analysis device 11 on the first screen 36A is pressed (clicked), the output unit 36 ​​transitions to a second screen 36B having information showing details of the state of the column 22 in the analysis device 11.

[0052] For example, as shown in FIG. 5, the second screen 36B has information on the identification number of the specific analytical device 11, information on peak numbers identifying the peaks of each component contained in the analysis results of the specific analytical device 11, information on peak resolution which is the analysis result corresponding to each peak number, information on predicted peak resolution corresponding to each peak number, and information on the threshold value set for each peak number.

[0053] Information on the identification number of the analytical device 11 is displayed in the top row of the second screen 36B. For example, "ID:001" is displayed as the identification number of the specific analytical device 11 in the top row of the second screen 36B.

[0054] The identification number information of the analytical apparatus 11 may be any number capable of identifying multiple analytical apparatus 11, and may be, for example, a unique number (e.g., "001") set for each analytical apparatus 11 plus equipment information including information on the location where the analytical apparatus 11 is installed (Room B, Building A) or the process (C Line Section D) that is the subject of analysis (the subject from which the sample is sampled) of the analytical apparatus 11 (e.g., "001-AB", "001-CD", or "001-ABCD").

[0055] The "Peak" column displays peak number information that identifies the peak of each component included in the analysis result of the analysis device 11. For example, the "Peak" column displays "1," "2," "3," and the like as peak number information that identifies the peak of each component included in the analysis result of the analysis device 11.

[0056] The peak number information may be any information that can identify each peak, and may be, for example, a unique number (e.g., "1") set for the peak of each component, to which information on the device (device E1) that detects the component has been added (e.g., "1-E1"). Of course, the information on the device that detects the component may not be added as peak number information, but may be displayed as information on the device corresponding to each peak number in the "Peak" column and a separate "Device" column (not shown), etc.

[0057] Information on the peak resolution, which is the analysis result corresponding to each peak number, is displayed in the "current resolution" column. For example, the "current resolution" column displays the calculated peak resolution as information on the peak resolution, which is the analysis result corresponding to each peak number.

[0058] Information on the predicted peak resolution corresponding to each peak number is displayed in the column "Resolution after 30 days." For example, in the column "Resolution after 30 days," predicted peak resolutions are displayed as information on the predicted peak resolution corresponding to each peak number.

[0059] Information on the threshold set for each peak number is displayed in the "Threshold" column. For example, the "Threshold" column displays a threshold (a comparison reference value for peak resolution) that is set by the operator and is to be compared with the predicted peak resolution as information on the threshold set for each peak number.

[0060] The output unit 36 ​​also has a threshold setting function on the second screen 36B. For example, when a threshold set for an arbitrary peak number on the second screen 36B is pressed (clicked) and then a "Setting" button displayed on the second screen 36B is pressed (clicked), the output unit 36 ​​transitions to a setting screen (not shown) for editing (changing) the threshold set for the arbitrary peak number. With this function, the operator can easily change the threshold for each component peak in each analyzer 11.

[0061] In addition, the output unit 36 ​​has a screen link function for the second screen 36B. For example, the output unit 36 ​​is configured to transition (return) to the first screen 36A when a "Close" button displayed on the second screen 36B is pressed (clicked).

[0062] In addition, the output unit 36 ​​has a screen switching function for the second screen 36B. For example, the output unit 36 ​​displays the second screen 36B as tabs, and by switching the tabs, displays the third screen 36C having information showing the trend of the state of the column 22 in the analysis device 11.

[0063] For example, the third screen 36C has a trend of the peak resolution (time series data information) as shown in Fig. 6. The trend of the peak resolution is a graph displayed with the horizontal axis representing time and the vertical axis representing resolution.

[0064] The output unit 36 ​​also has a display trend switching function on the third screen 36C. For example, the third screen 36C is provided with a check box "PV" for setting whether or not to display an actual measured line corresponding to each peak number, and a check box "Pred." for setting whether or not to display a predicted line corresponding to each peak number.

[0065] When the check box "PV" corresponding to an arbitrary peak number is pressed (checked), the output unit 36 ​​displays the actual measurement line corresponding to that arbitrary peak number on the peak resolution trend, and when the check box "PV" corresponding to that arbitrary peak number is pressed again (unchecked), the output unit 36 ​​hides the actual measurement line corresponding to that arbitrary peak number from the peak resolution trend. Similarly, when the check box "Pred." is pressed, the output unit 36 ​​switches between displaying and hiding the predicted line corresponding to the arbitrary peak number.

[0066] The output unit 36 ​​can simultaneously display multiple trends (measured lines and predicted lines) corresponding to multiple peak numbers on the trend of peak separation. In this case, the output unit 36 ​​may display lines of different line types or colors depending on the object to be displayed. For example, the output unit 36 ​​may display the measured lines and predicted lines of different line types (solid lines and dashed lines). The output unit 36 ​​may also display multiple trends (measured lines and predicted lines) corresponding to multiple peak numbers with lines of different colors.

[0067] The operation of the analysis system according to this embodiment will be described with reference to FIG.

[0068] When the analysis system 1 is operated and the analysis device 11 performs a component analysis of the sample gas, a step of diagnosing the state of the column 22 starts. Note that the step of diagnosing the state of the column 22 described below is performed, for example, periodically or every time the analysis device 11 performs a component analysis of the sample gas while the analysis system 1 is operating.

[0069] In step S101, the information processing device 12 calculates the peak resolution in the analysis result by the analysis device 11, and proceeds to step S102. At this time, the information processing device 12 stores the peak resolution in the storage unit 31.

[0070] In step S102, when the information processing device 12 stores the peak resolution for the predetermined time in the storage unit 31 (determines YES in S102), the information processing device 12 proceeds to step S103. On the other hand, in step S102, when the information processing device 12 has not stored the peak resolution for the predetermined time (determines NO in S102), the information processing device 12 returns to step S101. That is, the information processing device 12 repeats steps S101 to S102 and accumulates the peak resolution until it has stored the peak resolution for the predetermined time.

[0071] Here, the information processing device 12 can set an arbitrary period as the peak resolution for the predetermined time to be stored. This arbitrary period can be set, for example, by an operator. That is, the operator sets the predetermined time (arbitrary period) for storing the peak resolution via the setting unit 35. For example, if the operator sets 14 days as the predetermined time, the information processing device 12 will repeat steps S101 to S102 until 14 days have passed since the start of operation of the analysis system 1, i.e., the start of component analysis by the analysis device 11.

[0072] In step S103, the information processing device 12 generates resolution data based on the peak resolution for a predetermined time period stored in the storage unit 31, and proceeds to step S104. Here, for example, the information processing device 12 generates a moving average of the peak resolution for the past 14 days as the resolution data. The information processing device 12 also stores the resolution data in the storage unit 31.

[0073] The information processing device 12 can set a shortest period (minimum number of data) and a longest period (maximum number of data) as the peak resolution for the predetermined time required to generate the resolution data in step S103. These shortest period and longest period can be set, for example, by an operator. That is, the operator sets the shortest period and the longest period via the setting unit 35 as the predetermined time for storing the peak resolution.

[0074] Here, the shortest period is the minimum number of peak resolution data required to generate resolution data in step S103, and corresponds to the peak resolution set as the peak resolution for the predetermined time to be stored in S102. The information processing device 12 repeats steps S101 to S102 to accumulate the peak resolution until the peak resolution for the shortest period is stored. In other words, when the information processing device 12 stores the peak resolution for the shortest period in the storage unit 31 (determines YES in S102), it can proceed to step S103. Therefore, for example, the information processing device 12 sets, as the shortest period, a period (number of data) according to the resolution data that can predict the predicted peak resolution after the predetermined time has elapsed with a desired accuracy.

[0075] The maximum period is the maximum number of peak resolution data used to generate resolution data in step S103, and is used to predict the predicted peak resolution after a predetermined time has elapsed with sufficient accuracy. The information processing device 12 generates resolution data for a predetermined period of time based on the peak resolution for the predetermined period of time (accumulated period) between the shortest period and the longest period. Therefore, for example, the information processing device 12 sets, as the longest period, a period (number of data) according to the resolution data that can predict the predicted peak resolution after a predetermined period of time has elapsed with a desired accuracy. Note that, when peak resolution for a period longer than the longest period is stored in the storage unit 31, the information processing device 12 generates resolution data based on, for example, the most recent (latest) longest period of peak resolution.

[0076] In step S104, the information processing device 12 predicts the peak resolution based on the resolution data stored in the storage unit 31, and proceeds to step S105. At this time, the information processing device 12 calculates a predicted peak resolution after a first time has elapsed (e.g., after 30 days) using a Kalman filter, and stores this predicted peak resolution in the storage unit 31.

[0077] In step S105, the information processing device 12 compares the predicted peak resolution after the first time has elapsed (e.g., after 30 days) stored in the storage unit 31 with the threshold value. Here, if the predicted peak resolution after the first time has elapsed (e.g., after 30 days) is greater than the threshold value (YES in S105), the judgment unit 35 judges that the column 22 is in a healthy state after the first time has elapsed (e.g., after 30 days) or that it is not time to replace the column 22 after the first time has elapsed (e.g., after 30 days), and ends the step.

[0078] On the other hand, if the predicted peak resolution after the first time has elapsed (e.g., after 30 days) is equal to or lower than the threshold value (NO in S105), the judgment unit 35 judges that the column 22 will not be in a healthy state after the first time has elapsed (e.g., after 30 days) or that it is time to replace the column 22 after the first time has elapsed (e.g., after 30 days), and proceeds to step S106.

[0079] In step S106, the output unit 36 ​​notifies the operator that the column 22 will not be in a healthy state after the first time has elapsed (e.g., after 30 days) or that the column 22 will need to be replaced (the replacement time is approaching) after the first time has elapsed (e.g., after 30 days), and then ends the step.

[0080] A modified example of the operation of the analysis system according to this embodiment will be described with reference to FIG.

[0081] Steps S201 to S204 are the same as steps S101 to S104 described above, and therefore the description will be omitted.

[0082] In step S205, the information processing device 12 compares the predicted peak resolution after the first time has elapsed (e.g., after 30 days) stored in the storage unit 31 with the threshold value. If the predicted peak resolution after the first time has elapsed (e.g., after 30 days) is greater than the threshold value (YES in S205), the determination unit 35 determines that the column 22 is in a healthy state after the first time has elapsed (e.g., after 30 days) or that it is not time to replace the column 22 after the first time has elapsed (e.g., after 30 days), and proceeds to step S206.

[0083] On the other hand, if the predicted peak resolution after the first time has elapsed (e.g., after 30 days) is equal to or less than the threshold (NO in S205), the judgment unit 35 judges that the column 22 will not be in a healthy state after the first time has elapsed (e.g., after 30 days) or that it will be time to replace the column 22 after the first time has elapsed (e.g., after 30 days), and the process proceeds to step S207. Then, in step S207, the output unit 36 ​​notifies the operator that the column 22 will not be in a healthy state after the first time has elapsed (e.g., after 30 days) or that it will be time to replace the column 22 after the first time has elapsed (e.g., after 30 days) (the replacement time is approaching), and the step ends.

[0084] In step S206, the information processing device 12 predicts the peak resolution based on the resolution data stored in the storage unit 31, and proceeds to step S208. At this time, the information processing device 12 calculates a predicted peak resolution after a second time period longer than the first time period (e.g., 90 days) using linear regression analysis, and stores this predicted peak resolution in the storage unit 31.

[0085] In step S208, the information processing device 12 compares the predicted peak resolution after the second time has elapsed (e.g., after 90 days) stored in the storage unit 31 with a threshold value. Here, the threshold value to be compared with the predicted peak resolution after the second time has elapsed may be the same numerical value as or different from the threshold value to be compared with the predicted peak resolution after the first time has elapsed in step S205.

[0086] Then, if the predicted peak resolution after the second time has elapsed (e.g., after 90 days) is greater than the threshold value (YES in S208), the judgment unit 35 judges that the column 22 will be in a healthy state after the second time has elapsed (e.g., after 90 days) or that it is not time to replace the column 22 after the second time has elapsed (e.g., after 90 days), and ends the step.

[0087] On the other hand, if the predicted peak resolution after the second time has elapsed (e.g., after 90 days) is equal to or lower than the threshold value (NO in S208), the judgment unit 35 judges that the column 22 will not be in a healthy state after the second time has elapsed (e.g., after 90 days) or that it is time to replace the column 22 after the second time has elapsed (e.g., after 90 days), and proceeds to step S209.

[0088] In step S209, the output unit 36 ​​notifies the operator that the column 22 will not be in a healthy state after the second time has elapsed (e.g., after 90 days) or that the column 22 will need to be replaced (the replacement time is approaching) after the second time has elapsed (e.g., after 90 days), and then ends the step.

[0089] By performing the above-mentioned operations, the analysis system 1 can accurately diagnose the state of the column 22. The operator can take measures according to the diagnosis result, such as ordering a new column before the column becomes abnormal, and can therefore replace the column with a new one before the column becomes abnormal or immediately after the column becomes abnormal.

[0090] As a modified example of the analysis system according to this embodiment, for example, as shown in FIG. 9, the analysis system 1 may be connected to a purchasing system 2 that places orders for columns. This makes it possible to predict the appropriate ordering time based on the delivery date of the column 12 and the diagnosis or prediction results by the analysis system 1. In addition, by connecting to the purchasing system, it is possible to build a mechanism for automatically ordering the column 12 according to the diagnosis or prediction results by the analysis system 1. As a result, efficient and reliable system operation over a long period of time is possible. [Explanation of symbols]

[0091] 1. Analysis system 2 Purchasing System 11 Analyzer 12 Information processing equipment 21 Sample introduction section 22 Column 23 component detector 31 Storage section 32 Arithmetic section 33 Prediction Department 34 Judgment section 35 Setting section 36 Output section 36A First screen 36B Second screen 36C Third screen

Claims

1. a memory unit that acquires a peak resolution in a column for separating components of a sample gas, and stores the peak resolution of the column in association with time; a prediction unit for predicting a state of the column based on resolution data indicating a plurality of peak resolutions of the column associated with time; Equipped with The prediction unit performs a first prediction for predicting a state of the column after a first time has elapsed, and a second prediction for predicting a state of the column after a second time that is longer than the first time, based on the resolution data.

1. An analysis system comprising:

2. a memory unit that acquires a peak resolution in a column for separating components of a sample gas, and stores the peak resolution of the column in association with time; a prediction unit for predicting a state of the column based on resolution data indicating a plurality of peak resolutions of the column associated with time; Equipped with The prediction unit predicts a future peak resolution of the column as a state of the column, The present invention further includes a setting unit that sets a threshold value for comparison with a future peak resolution of the column, and a determination unit that compares the future peak resolution of the column with the threshold value to determine whether or not the column needs to be replaced.

1. An analysis system comprising:

3. The resolution data is generated based on the peak resolution of the column from a predetermined time before.

3. The analysis system according to claim 1 or 2.

4. The prediction unit performs the first prediction and the second prediction based on different calculation methods.

2. The analysis system according to claim 1 .

5. the storage unit stores the peak resolutions of the plurality of columns in association with the identification numbers of the plurality of columns and time, The prediction unit predicts the states of each of the columns.

3. The analysis system according to claim 1 or 2.

6. an output unit that outputs the state of the column predicted by the prediction unit; 3. The analysis system according to claim 1 or 2.

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