JP4423276B2 - System and analysis condition database storage method - Google Patents

Description

  The present invention relates to a database system that accumulates necessary analysis condition information when performing an analysis using an analyzer.

  When an analyst intends to develop an analysis condition for an analytical device in order to perform a new analysis using the analytical device, the researcher first examines various information related to the measurement examples and analysis in the literature, etc. Look for an analysis example that matches or is similar to the analysis objective you are trying to perform and determine the initial analysis conditions. Measurements are made while changing the analysis conditions little by little, and the optimum analysis conditions are obtained. The analysis condition development time greatly depends on the accuracy of the first analysis condition, but it is not easy to find an appropriate measurement example.

  Taking a liquid chromatograph as an example, the analysis conditions are column conditions (column type, length, inner diameter, packing material, stationary phase, oven temperature), and pump conditions (pump type, eluent name, flow rate, Gradient conditions), detector conditions (detector type / measurement wavelength), and the like. The most common investigation method for determining these analysis conditions is to look up literatures, for example, “high performance liquid chromatography data collection” published by the Liquid Chromatograph Society, and search for measurement examples. . If a target measurement example is found, the various analysis conditions described above can be known. The analyst modifies these conditions according to his / her column, pump, and detector, and creates the first analysis condition.

  However, it is not easy to find a target measurement example from a large amount of literature data. Since the data collection is supplemented and revised every few years, there is a drawback that the latest analysis information cannot be obtained.

  Even if a target measurement example is found, there is no clear standard that can be judged by the user regarding the analysis conditions and the reliability of the data, and it is necessary to confirm this. If the target measurement example cannot be found, the structural formula of the compound to be analyzed is examined, and the first analysis condition is created from the measurement example that seems to be similar. If selected, it takes a lot of time to develop analysis conditions.

  In recent years, various measures for making analysis conditions easy by using network systems that have been rapidly developed by converting analysis information accumulated on paper into electronic data have been studied.

  For example, a data processing device using a personal computer (personal computer) is often attached to the analysis device, but this data processing device and a plurality of analysis devices are connected by a local area network (LAN) or the like, and a plurality of analysis devices are connected. There is an example in which analysis results and analysis conditions in are integrated and managed by a data processing apparatus. For example, an apparatus disclosed in Japanese Patent Application Laid-Open No. 10-19864 is an example.

  In addition, analysis results obtained by a certain analysis device are stored in a server, and analysis information can be browsed from other remote analysis devices using the Internet, or as an e-mail to a specific partner. It is also considered to send analysis information. An example of such a system is a system as disclosed in Japanese Patent Application Laid-Open No. 2000-28617.

Japanese Patent Laid-Open No. 10-19864 JP 2000-28617 A

  In a system such as that disclosed in Japanese Patent Application Laid-Open No. 10-19864, analysis condition data is basically stored only by the analyst himself. Although a plurality of data processing devices are connected via a LAN, analysis information can be exchanged only within the connected data processing devices and is limited to use within a specific region or company. Only a simple database can be built.

  In the system disclosed in Japanese Patent Laid-Open No. 2000-28617, since the Internet and e-mail are used, information can be disclosed to a large number of partners without being confined to the area, but the information is only transmitted from a specific analyzer. The information stored as a database is unique to the analysis apparatus that is the transmission source.

  The data that an analyst actually needs to perform a new analysis is rarely obtained from the analysis that has been performed so far by a nearby analyzer. Therefore, there is a need for a database in which a wide variety of information for various analyzes is accumulated.

  In the conventional system as described above, in terms of data accumulation, only a limited number of specific users can be accumulated, and the database is biased.

  Furthermore, even in a system using the LAN or the Internet as described above, in order to construct a useful database, it is necessary to perform an operation of inputting and registering necessary information with human intervention. Therefore, it is not efficient to collect a large amount of information. In a database, accurate and abundant information is most important, but it is easy to make an error when inputting information that relies on human resources. For example, in a liquid chromatograph database, the most important information is the name of the compound. However, if one spelling is misspelled, the precious data becomes useless. Registering other related information as a key is a difficult task, and there is always the possibility of erroneous input.

  Also, even if third-party analysis information is obtained via a data collection published as a book or the Internet, it is often unclear how reliable the analysis information is.

  An object of the present invention is to make it possible to easily accumulate information relating to analysis performed by a large number of individuals or organizations as a database, and to enable anyone to share the accumulated information. Is to provide a database system.

In order to achieve the above object, the present invention is characterized in that an analysis apparatus for analyzing a sample, a server having a database storing data relating to analysis conditions of the analysis apparatus, and an analysis using the Internet connecting the analysis apparatus and the server. The analysis apparatus transmits a search condition to a server via the Internet, and the server stores analysis condition data that matches the condition based on the received search condition in a database in the server. If it exists in the database, the analysis condition data is transmitted to the analyzer, and the analyzer sets the analysis condition data as the analysis condition of its own device and analyzes the sample. is there.
As a result, a large-scale database is automatically constructed in a short period of time, and the latest information is always added, so that the analyst can easily search for necessary information.

  According to the present invention, information related to analysis performed by a large number of individuals or organizations can be easily accumulated as a database.

(First embodiment)
The first embodiment will be described using an example in which the analyzer is a liquid chromatograph.

  FIG. 1 shows a schematic configuration diagram of a system to which the present embodiment is applied. The system of the present embodiment is applied to an environment in which data processing apparatuses that handle liquid chromatograph data used by an analyst who is a user are connected to the Internet 6.

  The data processing device 2 of the liquid chromatograph 1, the data processing device 4 of the liquid chromatograph 3, and the stand-alone data processing device 5 in FIG. 1 are devices on the user side. These data processing apparatuses of the users are connected to an administrator-side server system in which a database is constructed via the Internet 6.

  The administrator side server system includes a manager 7 and an external storage device 8. The administrator-side server system is connected to the Internet 6 via the manager 7 and exchanges data with the data processing device on the user side.

  The present embodiment is realized in the system environment as described above, and the main function is that the analyst searches the analysis conditions necessary for the new analysis and finds his data from the administrator-side server system. It has a “search” function that is downloaded to the processing apparatus, and a “registration” function that each analyst transmits to the administrator-side server system and registers the analysis conditions and results performed by each analyst.

  Here, FIG. 2 shows a system configuration example of the administrator-side server system.

In the server system on the manager side, an access manager 9, a database manager 14, and a spectrum manager 12 are connected to each other via a local area network 11 , and each manager includes external storage devices 10, 13, and 15. It has become.

The access manager 9 mainly performs data transmission / reception processing with each user via the Internet 6, registration request processing and search request processing from the user. The database manager 14 manages information related to analysis conditions by creating a database, and performs a search / registration process of analysis condition information in response to a request from the access manager 9 . The spectrum manager 12 manages the spectrum data sent together with the analysis conditions in response to a registration request from the user in a database.

  FIG. 3 shows the layout of the programs in each terminal of the user side analysis apparatus and the administrator server system and their mutual relations.

  The data processing devices 1 and 3 connected to the liquid chromatograph on the user side include a “data processing program” specific to the liquid chromatograph, a “search client program” and a “registered client program” necessary for executing the present invention. Place. In the example of FIG. 3, the data processing device 1 shows a state when the search client program is activated, and the data processing device 3 shows the state when the registered client program is activated.

  The access manager 9 confirms the access rights of users and establishes communication with each user, and converts between a file format unique to each data processing apparatus and a standardized file format. The "data conversion program" is arranged. The external storage device 8 is also provided with a user database for access right authentication, a system database storing the system format of the data processing device and its file format.

  In the spectrum manager 12, a “spectrum management program” is arranged. The external storage device 13 includes a spectrum database.

  A “database management program” is arranged in the database manager 14. The database management program may be a general-purpose relational database. The external storage device 15 includes a shared database that stores analysis conditions and a compound database. The above access management program, spectrum management program, and database management program are always in an execution state.

  The search client program or registered client program started from the data processing program of the data processing apparatus on the user side logs in, logs off, information search, compound name search, spectrum search, analysis information with respect to the access management program in the access manager 9. / Request data registration. Upon receiving the request, the access management program performs processing such as access right authentication, compound database operation, shared database operation, and spectrum database operation according to the request content. In the case of a data registration request, the file format of the local data processing device is converted into a standardized data format and registered. The access management program that has received the result from the database manager 14 or the spectrum manager 12 transmits the result to the request source. At this time, if the request from the data processing device on the user side is a download, the request is converted into a data format unique to the request source data processing device and then downloaded. The search client program or registration client program that has received the result performs processing such as display of the result and storage of data in each data processing device.

Next, details of the “search process” and “registration process” as seen from the data processing apparatus on the user side will be described.
<Search process>
The search client process of this embodiment will be described with reference to FIG.

  When the search is designated by the user, the data processing program in the data processing apparatus attached to the analyzer starts the search client program and automatically starts the login process (step 100, subroutine A).

A flowchart of the subroutine A of the login process is shown in FIG. First, the ID code stored in the ID file of the data processing program, in this embodiment, the serial number of the program is read from the ID file (step 110). The login screen 70 is displayed and the password is input by the operator (step 111). Here, an example of the login screen 70 is shown in FIG.
Shown in (a). The user enters information in “User ID” and “Password”
By clicking the “Connection” button, the input operation is completed.

When the “Connection” button is pressed, a login packet including an ID code, a password, and a login request command is created (step 112). As a counter for retry, 3 is substituted into the register “RetryC” (step 113). The login packet created in step 112 is transmitted to the access manager 9 via the Internet 6 (step 114), and a reply from the access manager 9 is awaited (step 115). When the reply packet is received, the contents of the reply packet are analyzed (step 116). If the reply content is a connection completion notification (step 117), a login completion message is output (step 118). If a timeout occurs in step 115, 1 is subtracted from RetryC (step 120). If RetryC becomes 0 (step 121) and if the reply content is other than a connection completion notification in step 117, the error content is displayed as an error message (step 122). If the error content is a password error (step 123), the process returns to step 111 to prompt the user to re-enter the password. If the error is not a password error, the search client program is terminated with an error.

Returning to FIG. 4, when the login is completed, the search window of FIG. 7B is displayed on the screen of the data processing apparatus. The user inputs key information serving as a search parameter such as an analyzer, a compound name, a category, and the like in the key input area 71, and clicks a “go” button 72 to designate execution of the search (step 101). When search execution is specified, a search request packet is created from the input parameters and transmitted to the access manager 9 (step 102). When a search result is received from the access manager 9 (step 103), a list of search results is displayed as a list (step 104). Specifically, a list of compound names that match the key information is displayed in the list column 74. When searching from the measurement date / time, registrant, pre-processing, related documents, related patents, etc., the display of the list column 74 can be switched by clicking the Advanced button 73. In the key information column 75, related information of the data selected in the list column 74 is displayed. If it is determined that there is information that the user wants to obtain by looking at the list in the list column 74 (step 105), the "View" button 76 is clicked to execute the data reception process (step 106, subroutine B). To do.

  A flowchart of a subroutine for data reception processing is shown in FIG. First, when the user selects data from the displayed list and clicks the “View” button 76 (step 130), the window shown in FIG. 8A is displayed (step 131). In the window of FIG. 8A, a list 81 of measurement condition parameters of selected data and a graph 83 of raw data are displayed. If the user designates the end of display, the subroutine ends (step 132). When the user clicks the “download” button 82 and designates file download (step 133), the file storage location designation dialog box 84 shown in FIG. 8B is displayed to display the storage location ( Step 134). The access manager 9 is requested for the raw data of the data (step 135), and after the data is converted into the format of the request source method file, the data is transmitted. If raw data is received (step 136), it is stored in the designated storage location (step 137). If parameter conversion in the storage destination designation dialog box 84 is checked, the parameters are automatically converted according to the connected device.

Returning to FIG. 4, if the user continues the search, the process returns to step 101 and the search is repeated (step 107). When the user clicks the “logout” button 77 in FIG. 7B and is instructed to end, a logoff packet is transmitted to the access manager 9.
<Registration process>
Next, registration processing performed by the user for the shared database will be described with reference to FIG.

  When the registration process is designated by the user, the data processing program in the data processing apparatus attached to the analyzer starts the registration client program and automatically starts the login process (step 200, subroutine A). Since the login process executes the subroutine A shown in FIG. 5 which is the same as the search process, the description thereof is omitted here.

After successful login, the window shown in FIG. 11 is displayed (step 201). In the data list display area 300 of the window of FIG. 11, a list of measurement data stored in the user's data processing device is displayed in a tree structure. When the user selects a data file to be registered from the list (step 202), the measurement parameter of the selected data file is displayed in the measurement parameter area 301, and the graph area 302 displays a graph of the data, in this example HPLC. Is displayed (step 203). FIG. 11 shows an example in which “Benzidine” is selected as data, the measurement parameter “Benzidine” is displayed in the measurement parameter area 301, and the chromatograph obtained as the measurement result of Benzidine is displayed in the graph area 302. When registering data such as documents, clicking the “Offline Registration” button 303 without selecting data opens a manual registration screen for analysis parameters.

  When the user confirms the data and clicks the “Register now” button 304 (step 204), the registration process is performed (step 205, subroutine C). A flowchart of the subroutine C of the registration process is shown in FIG.

  First, a “key information registration screen” window shown in FIG. 12A is displayed (step 210). Current privilege points are displayed in the privilege point display area 310, and key information such as account information, system information, and analysis device names and sample names extracted from analysis parameters are displayed in the key information area 311.

  The user inputs the name of the compound of the measured data or a part of the name in the compound name input field 312 and clicks the “Search” button 313 to specify the search (step 211). The input contents are searched from a compound database in which the names of known compounds and related information are accumulated, and a list of search results is displayed in the list column 314 (step 212). At this time, since a fuzzy search is performed, candidates are searched even if there is a slight spelling error. The user determines whether there is a target compound in the list (step 213), and if not, returns to step 211. If the target compound is output, click on the compound name on the list to select it (step 214). Then, the compound group registered in the compound database, CAS No. , Structural formula, pre-processing information, related documents, related patents, etc. are displayed as registration keys in the related information area 315 (step 215). At this time, anonymity setting, specification of a disclosure time, etc. can be performed in the registrant protection area 316 as necessary.

  When the “Submit” button 317 is clicked, key information, analysis parameters, and raw data are transmitted to the access manager 9 (step 216). If the registration completion notification is received together with the privilege point from the server side (step 217), the completion notification message 320 of FIG. 12B is displayed, and the notified privilege point is displayed (step 218).

Returning to FIG. 10, when the operator designates continuation of registration (step 206), the process returns to the data selection in step 202. Otherwise, a logoff request is transmitted to the access manager 9 (step 207), and the process is terminated.
<Server processing>
Next, processing of the administrator side server system, particularly processing of the access management program will be described.

  FIG. 13 shows a flowchart of the process of the access management program.

  The access management program is always in an execution state and is normally in a reception waiting state (step 500). When a packet addressed to itself is received (step 501), it is determined whether the request is a legitimate request from the search client process or the registered client process (step 502), and if it is irregular, the packet content is added to the error log. (Step 503) Return to waiting for reception. If the packet is genuine, it is determined whether it is a login packet (step 504), and if so, login processing is executed (step 505, subroutine D).

  A flowchart of the subroutine D of the login process is shown in FIG.

  First, user data is searched (step 520), and it is determined whether or not the request source ID is registered (step 521). If the ID is registered, it is determined whether the password is correct (step 522). It is determined whether or not the transmission source is a search process (step 523), and if it is a search process, it is determined whether or not there is a right to execute the search (step 524). If all the determinations are passed, it is determined whether or not the request source ID is already registered in the connection management table to prevent double connection (step 525). If not, the ID is newly added to the connection management table. Additional registration is performed (step 526). Thereafter, connection completion is transmitted to the request source (step 816). If the determination is No, the connection rejection reason and the request source ID are added to the error log (step 528), and the connection rejection is transmitted to the request source together with the rejection reason (step 529).

  Returning to FIG. 13, if it is a packet other than the login request in step 504, it is determined whether or not the request source ID is registered in the connection management table (step 506). The contents are added (step 507), and the process returns to reception waiting. If the packet requests logoff (step 508), the ID is deleted from the connection management table and the process returns to reception waiting (step 510). Otherwise, after executing the request handling process (step 509, subroutine E), the process returns to reception waiting.

  FIG. 15 is a flowchart of the subroutine E for request handling processing.

  First, it is determined whether or not it is a registration request (step 540), and if it is a registration request, database registration processing is performed (step 541, subroutine F).

  A flowchart of the subroutine F of the database registration process in the access manager 9 is shown in FIG.

First, the access management program passes the received registration request data to the data conversion program. The data conversion program determines whether or not the registration request data includes a spectrum that can be registered in the spectrum database (step 580). If so, the spectral data is extracted from the data and the spectrum is converted to a standard format for the spectral database (step 581). Furthermore, spectrum information is created from key information such as compound names. Spectral information is added to the standardized spectrum to create spectrum registration data, which is transmitted to the spectrum management program to make a registration request (step 582). The spectrum management program that has received the spectrum registration data registers it in the spectrum database and transmits registration completion. When the access management program receives the registration completion from the spectrum management program (step 583), it records the request source ID, registration information, etc. in the spectrum addition log so that the database administrator can check the registered contents (step 583). 584).

  If the spectrum data is not included, the data conversion program reads the system data format information based on the system information, and converts the analysis conditions into the standardized format as analysis data based on this information (step 585). After the data conversion, the data conversion program creates a database registration request using the database operation language, sends the data to the database management program together with the key information and the analysis data converted into the standard format, and sends the registration request. Perform (step 586). When registration completion is received from the database management program (step 587), the requester's ID, key information, etc. are recorded in the database addition log so that the database administrator can check the registered contents (step 588). The privilege point of the request source recorded in the user data is added (step 589), and registration completion is transmitted to the request source together with the added privilege point (step 590).

  Returning to FIG. 14, if it is not a registration request, it is determined whether it is a spectrum search request (step 542). If it is a spectrum search, a spectrum search request is transmitted to the spectrum management program (step 543). When the spectrum search result is received from the spectrum management program (step 544), the spectrum search result is transmitted to the request source (step 545).

  If it is not a spectrum search request, it is determined whether it is a search request to the database (step 546), and if it is a search request, a search request is transmitted to the database management program (step 547). When the search result is received from the database management program (step 548), the search result is transmitted to the request source (step 549).

If it is not a search request, a data request is transmitted to the database management program (step 550). When data is received from the database management program (step 551), the data is converted into the file format of the request source (step 552), and the data is transmitted to the request source (step 553).

  When the subroutine E is completed, the process returns to the process of FIG. 12 and waits for reception (step 500).

  The above is the first embodiment taking a liquid chromatograph as an example. In this embodiment, it is possible to construct a database that can efficiently collect and accumulate information on analysis conditions from users in an environment that can be connected to the Internet, and to provide this accumulated data to a wide range of users. Become.

In the system of this embodiment, it is possible to charge a user who performs a search process. In addition, since the user who performs the registration process has privilege point data, the user who has the point can use this point to provide a discount service for the charge amount at the time of search. I can do it.
(Second embodiment)
Next, a second embodiment will be described using an example in which the analyzer is an atomic absorption photometer.

  FIG. 17 shows a schematic configuration diagram of a system to which the present embodiment is applied.

  A data processing device 22 of the atomic absorption photometer 21, a data processing device 24 of the atomic absorption photometer 23, and a stand-alone data processing device 25 in FIG. 17 are devices on the user side. These data processing apparatuses of the users are connected to an administrator-side server system in which a database is constructed via the Internet 6.

  The administrator-side server system includes a manager 7, an external storage device 8, an atomic absorption photometer 27, and its data processing device 26. The administrator-side server system is connected to the Internet 6 via the manager 7 and exchanges data with the data processing device on the user side.

  As described above, the system on the user side is basically the same as that of the first embodiment. In this embodiment as well, the analyst searches the analysis conditions necessary for the new analysis and manages the administrator. "Search" function to download from the server system to your data processor and "Register" function to send analysis conditions and results of each analyst's own liquid chromatograph to the administrator server system and register And have. The system according to the present embodiment is characterized in that the administrator side server system is provided with an analysis device (atomic absorption photometer) similar to that on the user side.

  In this embodiment, the information managed in the database of the administrator-side server system includes not only the analysis conditions and analysis results, but also the analyzer manufacturer, the model of the analyzer, and measurement using the analysis conditions. It has a measurement example of a standard sample with traceability to guarantee the reliability, and an analytical value including uncertainty.

  Further, in the present embodiment, the registration information issued from the user-side atomic absorption photometer is ranked according to the content of the information, and the administrator-side server system has made this registration request. If necessary, the information is subjected to a confirmation analysis using the atomic absorption photometer 27 owned by the administrator-side server system, and the information is complemented to raise the rank. Specifically, the registration information is classified into four stages of A, B, C, and non-rank, and information ranked out of the rank is refused to be registered in the database. By performing such ranking, it is possible to provide information that makes it easy to determine the analysis conditions and the reliability of the data to the user who uses this system.

Each process of “search process” and “registration process” in the present embodiment will be described.
<Search process>
The search process is basically the same as that of the first embodiment. That is, the processes of the flowcharts shown in FIGS. 4 to 6 are performed.

  FIG. 18A shows a login screen 70. When the user inputs information in “User ID” and “Password” and clicks the “Connection” button, the input operation is completed.

  FIG. 18B shows a screen display example of the search window. In the present embodiment, a column for selecting “Classification of data” is added to the key input area 71. That is, the rank of data can be input as one of the search items. The ranking in this embodiment is divided into three, A, B, and C, according to the type of registered data. Details of the ranking will be described in detail in the “registration process” described later.

  Search is executed by inputting key information in the key input area 71 and clicking the “go” button 72. The search result is displayed in the list column 74.

  FIG. 19 shows a screen display example of a window showing search results. In this window, the details of the information selected from the list column 74 are displayed by clicking the “View” button 76 in FIG. In this embodiment, in addition to the measurement condition parameter list area 81, an analysis result graph area 85, a standard substance data list area 86, and an analysis value area 87 are displayed.

In the analysis result graph area 85, a graph (STD) of repeated measurement results of the standard solution is displayed.
soln. ), Graph of measurement results of real samples (Real Sample), graph of measurement results of standard materials with good traceability (Standard reference)
Material), a calibration curve is displayed.

In the standard substance data list area 86, numerical values related to uncertainty are displayed. The components of uncertainty include standard solution (STD solution), calibration solution preparation (Sample preparation), sample preparation (Sample preparation), combination of calibration solution and sample measurement (Measurement of calibration. Soln. And sample), synthesis. Items of Uncertainty (Combined Standard Uncertainty) and Extended Uncertainty (Extension Uncertainty: not shown in the figure) are displayed. By the way, as a numerical value of uncertainty (unit%), “standard solution” is a numerical value given in advance to the standard solution used for analysis, and “calibration solution adjustment” and “sample adjustment” It is a numerical value indicating the variation, and the “combination of calibration solution and sample measurement” is a numerical value indicating the variation between the calibration curve and the measured value. Further, “synthesis uncertainty” is obtained by using the numerical values of the above components. The mathematical formula is as follows.

  A = standard solution, B = calibration liquid adjustment, C = sample adjustment, D = combination of calibration liquid and sample measurement,

  “Extended uncertainty” is obtained by using a numerical value of synthetic uncertainty. The mathematical formula is as follows.

Extended uncertainty = composite uncertainty x 2
In the analysis value area 87, a measurement value (Analytic value) and a measurement value (Uncertainty) taking uncertainty into consideration are displayed. Here, “measured value” is numerical data of the actual sample measurement result, and “measured value taking uncertainty into account” is numerical data obtained by multiplying the measured value by the expanded uncertainty.

The data in the analysis result graph area 85, the standard substance data list area 86, and the analysis value area 87 are all displayed if they are of rank A, but there is no data in the data of ranks B and C. It may not be displayed.
<Registration process>
Next, the registration process will be described.

  Also in the registration process, the same process as in the first embodiment is performed. Therefore, the processing of the flowcharts shown in FIGS. 9 and 10 is performed.

  An example of the display screen after the user logs in to perform the registration process is shown in FIG. In this embodiment, in addition to the data list display area 300 and the measurement parameter area 301, an analysis result graph area 305, a standard substance data list area 306, an analysis value area 307, and a data rank display area 308 are displayed.

In the data list display area 300 of the window, a list of measurement data stored in the user data processing device is displayed in a tree structure. When the user selects a data file to be registered from the list, the measurement parameter of the selected data file is displayed in the measurement parameter area 301. Furthermore, if stored in the selected data file, a graph of repeated measurement results of a standard solution (STD soln.), A graph of measurement results of an actual sample (Real Sample), and a graph of measurement results of a traceable standard substance (Standard reference Material), the calibration curve used for these measurements is displayed in the analysis result graph area 305.

  Further, in the standard substance data list area 306, data related to the uncertainty input / calculated by the user is displayed. This area is also displayed if data is stored in the selected data file.

  In the analysis value area 307, the numerical value of the measured value of the actual sample and the numerical value of the measured value taking uncertainty into consideration are displayed.

  In the data rank display area 308, a rank corresponding to the type of data stored in the data file is displayed. If information is contained in all areas of the measurement parameter area 301, the analysis result graph area 305, the standard substance data list area 306, and the analysis value area 307, the rank is A.

  Among the data displayed in the measurement parameter area 301 and the analysis result graph area 305, there are information on repeated measurement results of standard solutions (STD soln.), Measurement results of real samples (Real Sample), and calibration curves. Rank B is given if information (standard reference material, uncertainty information) with insufficient traceability is insufficient.

  Among the data displayed in the measurement parameter area 301 and the analysis result graph area 305, there is information on the repeated measurement result (STD soln.) Of the standard solution and the calibration curve. If other information is insufficient, the rank C.

  The example of FIG. 20 shows an example in which the “Pb / river water” file is selected. This file data is ranked A because all information exists. When the user confirms the contents of the registration information and clicks the “Register now” button 304, the registration process is started.

FIG. 21A shows a display example of the “key information registration screen” window in the present embodiment. This screen is almost the same as in the first embodiment. When the “Submit” button 317 is clicked, data is transmitted to the server. If a registration completion notification is returned together with the privilege point from the server side, a completion notification message 320 in FIG. 21B is displayed.
<Server processing>
Processing on the server side of this embodiment will be described.

  Since the processing on the server side is almost the same as that of the first embodiment, the processing shown in the flowcharts of FIGS. 13 to 15 is performed. However, the database registration process (step 541) of subroutine F is different.

  A flowchart of this process is shown in FIG.

  First, the access management program confirms the rank of the registration request data received from the user. As described above, the ranking in the present embodiment is divided into three categories of A, B, and C according to the type of registered data.

  Next, the data is reviewed. The data received as rank A is examined for the following five items in step 1801.

Is not a lack of (a) information, (b) repeated measurements of standard solutions or within a specified value (eg of a specified value: 5%), (c) calibration relationship of good or (r ² Example: 0 (995 or more), (d) Is the data of traceable reference material within the specified value from the guaranteed value (example of specified value: within 20%), or (e) Is the value of uncertainty appropriate?

  As for the guaranteed value in (d), the server side has a database of standard substances, and the guaranteed value stored here is used. As for the uncertainty of (e), the “composite uncertainty” and the “extended uncertainty” are recalculated on the server side. Specifically, calculation is performed using each uncertainty value of “standard solution”, “calibration solution adjustment”, “sample adjustment”, “combination of calibration solution and sample measurement” in the data sent from the user, It is checked whether the values of “synthesis uncertainty” and “extended uncertainty” in the data sent from the user are correctly calculated.

If it is determined that there is no problem as a result of the examination in step 1801, the data conversion program reads the system data format information based on the system information, and converts the analysis conditions into the standardized format as analysis data based on this information ( Step 1804). After the data conversion, the data conversion program creates a database registration request using the database operation language, sends the data to the database management program together with the key information and the analysis data converted into the standard format, and sends the registration request. Perform (step 1805). When registration completion is received from the database management program (step 1806), the requester's ID, key information, etc. are recorded in the database addition log so that the database administrator can check the registered contents (step 1807). The privilege point of the request source recorded in the user data is added (step 1808), and registration completion is transmitted to the request source together with the added privilege point (step 1809).

  If it is determined that there is a problem as a result of the examination in step 1801, a registration rejection notice is transmitted to the request source (step 1810).

The data received as ranks B and C are examined in step 1802. Items to be examined here are: (a) Check for lack of information, (b) Whether the repeated measurement value of the standard solution is within the specified value (example of specified value: 5% or less), (c) The calibration relationship is good (R ² example: 0.995 or more) are examined.

  If it is determined that there is a problem as a result of the examination, a registration rejection notice is transmitted to the requester (step 1810).

  If there is no problem, the server-side administrator determines whether or not the registration data should be upgraded (step 1803). If there is no need to rank up, the process proceeds to step 1804 as it is, and the registration process proceeds. In the case of ranking up, analysis is performed using the atomic absorption photometer 27 and its data processing device 26. For example, in the case of rank B data, there is a lack of information on the measurement results and uncertainties of traceable reference materials. Therefore, using the analysis condition information of the transmitted data, the reference material can be traced. And calculate the uncertainty. If the analysis is successful and the data is obtained, information is added to the transmitted data, and the process proceeds to step 1804 as rank A.

  In the case of rank C data, in addition to the case of rank B, the measurement result of the actual sample is also insufficient. Therefore, the analysis of the actual sample is performed using the analysis condition information of the transmitted data. If analysis of the actual sample, measurement of a traceable standard substance, and calculation of uncertainty can be performed, information is added and the process proceeds to step 1804 as rank A. If the reference material with traceability is measured and the uncertainty can be calculated, and the analysis of the actual sample cannot be performed, the process proceeds to step 1804 as rank B.

  The above is the second embodiment taking an atomic absorption photometer as an example. In the present embodiment, in addition to the first embodiment, a measurement example of a standard material with traceability and data relating to uncertainty are added, so that a more reliable database can be constructed.

  Further, since the information registered in the database is ranked, the reliability of the registered information can be confirmed and the information can be downloaded.

  Also, the administrator side server system is equipped with the same analysis device as the user side, and it is possible to supplement the information as necessary and to upgrade the registration information, so that the quality of the database is improved on the server side. This makes it possible to construct a more reliable database.

  As described above, according to the present invention, since analysis information is registered by a large number of individuals or organizations, a database operator can automatically construct a large-scale database without manpower, and always. The latest information will be added. By using this analysis information database, the analyst can significantly reduce the time for developing new analysis conditions. In addition, since data is stored in a standardized data format, a database that can be used in common between data processing apparatuses of different versions and manufacturers can be constructed. Furthermore, since data is converted in accordance with the file format of each data processing apparatus and downloaded, data of different models and analysis parameters can be directly used.

  The database operator can make a profit by charging the user. In addition, by operating the database exclusively, for example, by restricting the access right to the purchaser of the specific analyzer, sales of the analyzer can be promoted.

  Furthermore, since information indicating reliability is attached to the registered data and the information can be supplemented on the server side, a database that can be used with confidence by the user can be constructed.

It is a figure which shows the system configuration | structure of this invention. It is a figure which shows the structure of the administrator side server system. It is a figure which shows the layout of a program in each terminal of a user side analyzer and an administrator server system, and a mutual relationship. It is a follow chart of search client processing of the 1st example. It is a follow chart of search client processing of the 1st example. It is a follow chart of search client processing of the 1st example. (A) is a display example of a login screen, (b) is a display example of a search window. (A) is a display example of a window in which search results are displayed, and (b) is a display example of a file storage location designation dialog box. It is a follow chart of the registration process of a 1st Example. It is a follow chart of the registration process of a 1st Example. It is a display example of a window for selecting registered data after login. (A) is a display example of a window of a key information registration screen, and (b) is a display example of a completion notification message. It is a flowchart of a process of an access management program. It is a flowchart of a process of an access management program. It is a flowchart of a process of an access management program. It is a flowchart of a process of an access management program. It is a system configuration figure of the 2nd example. (A) is a display example of a login screen, (b) is a display example of a search window. It is a display example of a window in which search results are displayed. It is a display example of a window for selecting registered data after login. (A) is a display example of a window of a key information registration screen, and (b) is a display example of a completion notification message. It is a flowchart of the subroutine F of the access management program in a 2nd Example.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1,3 ... Liquid chromatograph, 2,4,5 ... Data processing apparatus, 6 ... Internet, 7 ... Manager.

Claims (10)

An analyzer for analyzing the sample;
A server comprising a database storing data relating to analysis conditions of the analyzer;
A network connecting the analyzer and the database;
An analysis system for a server directly connected to the server without going through the network,
The server
When the analysis condition data and analysis results relating to the sample measured from the analyzer are received, and the received information is insufficient, the analysis is performed on the basis of the analysis condition data by the server analyzer. An analysis system characterized in that the analysis result obtained is stored in the database together with the analysis condition data. The analyzer analysis system according to claim 1, characterized in that it searches the analysis result and the analysis condition data stored in the database.   3. The analysis system according to claim 2, wherein when the analysis condition data stored in the database is downloaded, a charge is made for a user of an analysis apparatus that is a download destination. 4. The analysis system according to claim 3, wherein the downloaded analysis condition data is automatically set in the analysis device. The analyzer transmits an analysis condition data analyzed for the sample to the server,
The server analysis system according to claim 1, any one of 4, characterized in that accumulating evaluates the analysis condition data, the analysis condition data clear reference to the database. The server, when storing the analysis condition data which cleared the reference to the database, to determine the identification code of the transmission source of the analyzer, by storing the analysis condition data after converting the standardized form The analysis system according to claim 5.   The analysis system according to claim 1, wherein the analysis device is a liquid chromatograph.   The analysis system according to claim 1, wherein the analysis device is an atomic absorption photometer. A server system comprising: a server comprising a database storing data relating to analysis conditions of an analyzer for analyzing a sample; and a server analyzer connected directly to the server via a network,
The server
When the analysis condition data and analysis results relating to the sample measured from the analyzer are received, and the received information is insufficient, the analysis is performed on the basis of the analysis condition data by the server analyzer. The server system is characterized in that the analysis result obtained is stored in the database together with the analysis condition data. 10. The server system according to claim 9, wherein when the analysis condition data stored in the database is downloaded to the analysis device, a user of the download destination analysis device is charged.

Images