WO2002068963A1 - Systeme d'analyse - Google Patents

Systeme d'analyse Download PDF

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Publication number
WO2002068963A1
WO2002068963A1 PCT/JP2001/009437 JP0109437W WO02068963A1 WO 2002068963 A1 WO2002068963 A1 WO 2002068963A1 JP 0109437 W JP0109437 W JP 0109437W WO 02068963 A1 WO02068963 A1 WO 02068963A1
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WO
WIPO (PCT)
Prior art keywords
analysis
database
analyzer
data
server
Prior art date
Application number
PCT/JP2001/009437
Other languages
English (en)
Japanese (ja)
Inventor
Noriko Minakawa
Toshihiro Shirasaki
Hideo Arai
Toshihiro Furuya
Junichiro Tomizawa
Original Assignee
Hitachi, Ltd.
Hitachi Science Systems, Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hitachi, Ltd., Hitachi Science Systems, Ltd. filed Critical Hitachi, Ltd.
Priority to JP2002568029A priority Critical patent/JP3867046B2/ja
Publication of WO2002068963A1 publication Critical patent/WO2002068963A1/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
    • G01N2030/8804—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86 automated systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N35/00871—Communications between instruments or with remote terminals
    • G01N2035/00881—Communications between instruments or with remote terminals network configurations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8651—Recording, data aquisition, archiving and storage

Definitions

  • the present invention relates to a database system that stores necessary analysis condition information when performing analysis using an analyzer.
  • an analyst intends to develop analytical conditions for an analytical device in order to perform a new analysis using the analytical device, he first searches the literature and other examples for measurement examples and various information related to the analysis. Look for an analysis that matches or is similar to the analysis you are trying to perform and determine the initial analysis conditions. Then, measurement is performed while changing the analysis conditions little by little, and the optimal analysis conditions are determined. The development time of the analysis conditions depends greatly on the accuracy of the initial analysis conditions, but finding the appropriate measurement example is not easy.
  • the analysis conditions include column conditions (type of column, length, inner diameter, packing material, stationary phase ⁇ oven temperature), pump conditions (type of pump, name of eluent) 'Flow rate * gradient conditions), detector conditions (detector type, measurement wavelength), etc.
  • column conditions type of column, length, inner diameter, packing material, stationary phase ⁇ oven temperature
  • pump conditions type of pump, name of eluent
  • detector conditions detector type, measurement wavelength
  • the most common research method for determining these analytical conditions is to refer to the literature, for example, “High Performance Liquid Chromatography Data Collection” published by the Liquid Chromatography Research Group, It is to look for.
  • the above various analysis conditions can be known. Analysts modify these conditions to suit their own columns, pumps, and detectors, and adjust the initial analysis conditions. create.
  • an analyzer often includes a data processor using a personal computer (personal computer), and this data processor and multiple analyzers are connected by a local area network (LAN) or the like, and multiple analyzers are connected.
  • LAN local area network
  • analysis results and analysis conditions in an analyzer are stored and managed centrally in a data processor.
  • this is the device disclosed in Japanese Patent Application Laid-Open No. 10-199664.
  • analysis results obtained by a certain analyzer can be stored in a server so that the analysis information can be viewed from other remote analyzers using the Internet.
  • Sending analysis information to the other party is also considered.
  • analysis condition data is basically stored only by the analyst himself. Although multiple data processing devices are connected via LAN, analysis information can be exchanged only within the connected data processing devices, and limited to use in a specific area or company Only a simple database can be built.
  • An object of the present invention is to easily accumulate, as a database, information relating to analysis performed by a large number of individuals or groups, and to allow anyone to share the accumulated information.
  • An object of the present invention is to provide a database system for an analyzer capable of performing the above.
  • the features of the present invention for achieving the above object include an analyzer for analyzing a sample, a server provided with a database storing data relating to analysis conditions of the analyzer, and an Internet for connecting the analyzer to the server.
  • An analysis system wherein the analyzer transmits search conditions to a server via the Internet, and the server transmits analysis condition data matching the conditions to the server based on the received search conditions. If the data is stored in the database, and it is found in the database, it sends the analysis condition data to the analyzer, and the analyzer uses the analysis condition data as the analysis condition of its own device. Setting and analyzing the sample.
  • FIG. 1 is a diagram showing a system configuration of the present invention.
  • FIG. 2 is a diagram showing a configuration of an administrator-side server system.
  • FIG. 3 is a diagram showing the layout of programs in each terminal of the user-side analyzer and the terminals of the administrator server system, and the relationship between them.
  • FIG. 4 is a follow chart of the search client process of the first embodiment.
  • FIG. 5 is a follow chart of the search client process of the first embodiment.
  • FIG. 6 is a follow chart of the search client process of the first embodiment.
  • Fig. 7 is a display example of the login screen
  • b is a display example of the search window.
  • FIG. 8 is a display example of a window in which search results are displayed
  • b is a display example of a file storage location designation dialog box.
  • FIG. 9 is a flowchart of the registration process of the first embodiment.
  • FIG. 10 is a flowchart of the registration process of the first embodiment.
  • Fig. 11 shows a display example of a window for selecting registered data after login.
  • FIG. 12 is a display example of a key information registration screen window
  • b is a display example of a completion notification message.
  • FIG. 13 is a flowchart of processing of the access management program.
  • FIG. 14 is a flowchart of the process of the access management program.
  • FIG. 15 is a flowchart of the processing of the access management program.
  • FIG. 16 is a flowchart of the process of the access management program.
  • FIG. 17 is a system configuration diagram of the second embodiment.
  • a is a display example of a login screen
  • b is a display example of a search window.
  • FIG. 19 is a display example of a window in which search results are displayed.
  • FIG. 20 is a display example of a window for selecting the registered data after the mouth login.
  • FIG. 21 shows a display example of a key information registration screen window
  • b shows a display example of a completion notification message.
  • FIG. 22 is a flowchart of a subroutine F of the access management program in the second 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 according to the present embodiment is applied to an environment in which data processing devices that handle liquid chromatograph data used by an analyst who is a user are connected to the Internet 6 respectively.
  • the data processing device 2 of the liquid chromatograph 1, the data processing device 4 of the liquid chromatograph 3, and the data processing device 5 of the stand-alone port are devices on the user side.
  • the data processing devices of these users are connected to the server system on the administrator side on which the database is constructed via the Internet 6.
  • the server system on the administrator side comprises a manager 7 and an external storage device 8.
  • the server system on the administrator side is connected to the Internet 6 via the manager 7. Is connected to, and exchanges data with the data processing device on the user side.
  • the present embodiment is realized in the system environment as described above.
  • the main function is that an analyst searches for analysis conditions necessary for a new analysis, and retrieves his / her own information from the administrator server system. It has a “search” function to download to the data processing device and a “registration” function to send and register the analysis conditions and results performed by each analyst on their own liquid chromatograph to the server system on the administrator side.
  • Fig. 2 shows an example of the system configuration of the administrator server system.
  • an access manager 9 a database manager 14 and a spectrum manager 12 are connected via a local area network 9, respectively, and an external storage device 10 is connected to each manager. , 13 and 15 are provided.
  • the access manager 10 mainly performs a process of transmitting and receiving data to and from each user via the Internet 6 and a process of requesting registration and search from the user.
  • the database manager 14 manages the information relating to the analysis conditions in a database, and upon receiving a request from the access manager 10, searches and registers the analysis condition information.
  • the spectrum manager 14 manages the spectrum data sent together with the analysis conditions when a registration request is made by the user in a database.
  • Fig. 3 shows the layout of the programs on each terminal of the user-side analyzer and the administrator server system, and their relationship to each other.
  • the data processing devices 1 and 3 connected to the liquid chromatograph on the user side include a “data processing program” unique to the liquid chromatograph, a “search client program” required to execute the present invention, and a “registered client”. Program ”.
  • search is performed by data processing unit 1. The status when the client program is running is shown, and the data processing device 3 shows the status when the registered client program is running.
  • the access manager 9 checks the user's access right and establishes communication with each user.
  • the "access management program” converts between the file format specific to each data processing device and the standardized file format. And a “data conversion program” to do so.
  • the external storage device 8 is also provided with a user database for authenticating access rights and a system database for storing the system format of the data processing device and its file format.
  • a “spectrum management program” is placed in the spectrum manager 12.
  • the external storage device 13 is provided with a spectrum database.
  • the database manager 14 is provided with a “database management program”.
  • the database management program may be a general-purpose relational database overnight.
  • the external storage device 15 includes a shared database in which analysis conditions are stored, and a compound database.
  • the above access management program, spectrum management program, and database management program are always running.
  • the search client program or registered client program started from the data processing program of the data processing device on the user side logs in, logs off, searches for information, and searches for compound names to the access management program in the access manager 9. , Spectrum search, analysis information Z data registration, etc. are requested.
  • the access management program Upon receiving the request, the access management program performs access right authentication, compound database operation, shared database operation, spectrum database operation, etc., according to the request.
  • data registration request data standardized from the file format of the local data processing device is used. Convert to overnight format and register.
  • the access management program receiving the result from the database manager 14 or the spectrum manager 12 sends the result to the request source.
  • the data is converted into a data format unique to the requesting data processing device and then downloaded.
  • the search client program or the registered client program that has received the results performs processing such as displaying the results and storing data in the respective data processing devices.
  • FIG. 5 shows a flowchart of the subroutine A of the mouth gui processing.
  • 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 operator is required to enter a passcode (step 1 1 1).
  • FIG. 7A an example of the login screen 70 is shown in FIG. 7A.
  • the user enters information in the “User ID” and “Password” and clicks the “Connection” button to complete the entry.
  • a mouth login bucket containing an ID code, a password, and a mouth login request command is created (Step 112).
  • the packet is transmitted to the access manager 9 via the Internet 6 (step 114), and waits for a reply from the access manager 9 (step 115).
  • the reply packet is received, the contents of the reply packet are analyzed (step 116). If the reply is a connection completion notification (step 1 17), a login completion message is output (step 1 18). If a timeout occurs in step 115, subtract 1 from Reti'yC (step 120).
  • step 121 When RetryC becomes 0 (step 121), and when the reply content is other than the connection completion notification in step 117, the error message is displayed in an error message (step 122). If the content of the error is the pass path error (step 1 2 3), return to step 1 11 to prompt for a pass password again. In the case of an error other than the password error, the search client program ends with an error.
  • the search window in Fig. 7b is displayed on the screen of the data processing device.
  • the user inputs key information that constitutes search parameters such as an analyzer, a compound name, and a category, and clicks a “go” button 72 to execute a search.
  • Specify (Step 101).
  • search execution is specified, a search request bucket is created from the input parameters and transmitted to the access manager 9 (step 102).
  • a list of the 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 field 74.
  • FIG. 6 shows a flowchart of the subroutine of the data receiving process.
  • the window shown in Figure 8a is displayed. (Step 1 3 1).
  • a list 81 1 of the selected measurement parameters and a graph 83 of raw data are displayed.
  • the subroutine ends (step 13 2).
  • the user clicks the “Download” button 82 and specifies to download the file (step 13 3) the file storage location dialog box shown in Figure 8b
  • step 13 4 The raw data of the data is requested to the access manager 9 (step 135), and the data is transmitted from the access manager 9 after the data is converted into a method file format of the request source. If the raw data is received (step 1336), it is stored in the designated storage location (step 1337). If you check the parameter conversion in the storage location specification dialog box 8 4, the parameter conversion is automatically converted according to the connected device.
  • step 107 if the user continues the search, the process returns to step 101 and repeats the search (step 107).
  • the data processing program in the data processing device attached to the analyzer starts the registered client program and automatically starts the mouth login process (step 200, subroutine A),
  • the same subroutine A shown in FIG. 5 as in the search processing is performed, and therefore the description is omitted here.
  • the window shown in Fig. 11 is displayed (step 201).
  • a list of measurement data stored in the data processing device of the user is displayed in a tree structure.
  • the measurement parameter of the selected data file is displayed in the measurement parameter overnight area 301, and the graph area 302 is displayed in the graph area 302.
  • an HPLC chromatograph is displayed (step 203).
  • “Benzidine” was selected as the data and the measurement parameters for Benzidine J were obtained in the measurement parameter overnight area 301 and the Benzidine measurement results were obtained in the graph area 302.
  • click “Offline Registration” button 303 without selecting “Departure” and the data will be analyzed.
  • the parameter registration screen opens.
  • step 204 When the user confirms the data and clicks the “Register now” button 304 (step 204), the registration process starts (step 205, sable routine C).
  • FIG. 1 A flowchart of the subroutine C of the registration process is shown in FIG.
  • a window for a "key information registration screen" shown in Fig. 12a is displayed (step 210).
  • the bonus point display area 3 10 The key point is displayed, and the key information area 311 displays the key information such as the account information and system information, and the names of the analytical instruments and samples extracted from the analysis parameters.
  • the user inputs the compound name or part of the name of the compound measured in the compound name input field 3 12 and clicks the “Search” button 3 13 to specify the search ( Step 2 1 1).
  • the input contents are searched from the compound database in which the names of the known compounds and related information are accumulated, and a list of the search results is displayed in the list field 314 (step 212). At this time, candidates are searched even if there is a slight spelling error because of fuzzy search.
  • the user determines whether the target compound is on the list (step 2 13), and if not, returns to step 2 11.
  • the compound group, CASN o., Structural formula, pre-processing information, Related documents, related patents, etc. are displayed in the related information area 315 as a registration key (step 215). At this time, if necessary, anonymity setting and specification of the release time can be performed in the registrant protected area 316.
  • step 206 if the operator specifies to continue registration (step 206), the process returns to step 202 data selection. Otherwise, a logoff request is sent to the access manager 9 (step 207), The process ends.
  • FIG. 13 shows a flowchart of the processing of the access management program.
  • the access management program is always in an execution state, and is usually in a reception waiting state (step 500).
  • Step 501 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 the request is invalid, an error occurs. Add the contents of the packet to the log (step 503) and return to waiting for reception. If the packet is legitimate, it is determined whether or not the packet is a login packet (step 504), and if so, the login process is executed (step 505, subroutine D).
  • FIG. 14 is a flowchart of the subroutine D of the mouth gui processing.
  • the user data is searched (step 520), and it is determined whether or not the ID of the request source is registered (step 521). If the ID has been registered, it is determined whether the passcode 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 the user has a right to execute the search (step 524). If all the judgments are passed, it is judged whether the ID of the request source is not already registered in the connection management table to prevent double connection (step 5 25), and if not, a new ID is connected. Additional registration is made to the management table (Step 5 2 6).
  • connection completion is transmitted to the request source (step 816). If the result of any of the determinations is No, the connection rejection reason and the requester ID are added to the error log (step 528), and the requester is reconnected with the rejection reason. Send the rejection (step 529).
  • step 506 it is determined whether the ID of the request source is registered in the connection management table (step 506), and the registered ID is registered. If not, the packet contents are added to the error log (step 507), and the process returns to waiting for reception. If the packet requires log-off (step 508), the ID is deleted from the connection management table, and the process returns to waiting for reception (step 510). Otherwise, after executing the request handling process (step 509, subroutine E), the process returns to waiting for reception.
  • FIG. 15 shows a flowchart of the subroutine E of the request handling process.
  • the request is a registration request (step 540). If the request is a registration request, a database registration process is performed (step 541, subroutine).
  • FIG. 16 shows a flowchart of the subroutine F of the database registration process in the access manager 9.
  • the access management program passes the received registration request data to the data conversion program.
  • the data conversion program determines whether the registration request data includes a spectrum that can be registered in the spectrum database (step 580). If so, extract the spectrum data from the data and convert the spectrum to a standard format for the spectrum database (step 581). Furthermore, vector information is created from key information such as compound names.
  • the spectrum information is added to the standardized spectrum to create spectrum registration data, which is sent to the spectrum management program to make a registration request (step 582).
  • the spectrum management program which received the spectrum registration data, Register it and send registration completion. When the access management program receives the registration completion from the spectrum management program (step 583), the requester ID and registration information are added to the spectrum additional log so that the database administrator can check the registration contents.
  • Step 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 analysis data in a standardized format based on this information ( Step 5 8 5). After the data conversion, the data conversion program creates a database registration request using the database operation language and sends the data to the database management program along with the key information and the analysis data converted to the standard format. A registration request is made (step 586). Upon receiving the registration completion from the database management program (step 587), record the requester's ID and key information in the database addition log so that the database administrator can check the registration contents (step 588) ). The requester's privilege point recorded in the user data is added (step 589), and registration completion is transmitted to the requester together with the added privilege point (step 590).
  • step 542 it is determined whether or not it is a spectrum search request (step 542), and if it is a spectrum search, a spectrum search request is transmitted to the spectrum management program ( Step 5 4 3).
  • the vector search program Upon receiving the vector search result from the vector management program (step 544), the vector search program transmits the vector search result to the requester (step 545). If it is not a vector search request, it is determined whether it is a database search request (step 546), and if it is a search request, a search request is transmitted to the database management program (step 544). Database management When the search result is received from the program (step 548), the search result is transmitted to the requester (step 549).
  • a data request is sent to the database management program (step 550).
  • the data is received from the database management program (Step 55 1), the data is converted into the file format of the requester (Step 55 2), and the data is transmitted to the requester (Step 55 3).
  • the process returns to the process in FIG. 12 and waits for reception (step 500).
  • the above is the first embodiment taking a liquid chromatograph as an example.
  • a database that can efficiently collect and store information on analysis conditions from users in an environment that can be connected to the Internet can be constructed, and this stored data can be provided to a wide range of users. Becomes possible.
  • the system of this embodiment it is also possible to charge a user who performs a search process. Also, since the user who performs the registration process has the data of the privilege point, the user who has the point should use the point to provide a discount service for the amount charged at the time of search. You can also.
  • FIG. 17 shows a schematic configuration diagram of a system to which this embodiment is applied.
  • the data processing device 22 of the atomic absorption photometer 21, the data processing device 24 of the atomic absorption photometer 23, and the stand-alone data processing device 25 are devices on the user side. And the data processing equipment of these users The device is connected to the server system on the administrator side on which the database is constructed via the Internet 6.
  • the server system on the administrator side comprises a manager 7, an external storage device 8, an atomic absorption spectrometer 27 and a data processing device 26 thereof.
  • the server system on the administrator side is connected to the Internet 6 via the manager 7. Data is exchanged with the data processing device on the user side.
  • the system on the user side is basically the same as that of the first embodiment.
  • the analyst searches for analysis conditions necessary for a new analysis.
  • a search function that downloads data from the administrator server system to your data processing device, and sends the analysis conditions and results performed by each analyst on their own liquid chromatograph to the administrator server system. It has a “registration” function to register.
  • the feature of the system of the present embodiment is that the server system on the administrator side is provided with the same analyzer (atomic absorption spectrometer) as the user side.
  • the information managed in the database of the administrator server system includes not only the analysis conditions and the analysis results, but also the analyzer manufacturing capability, the model of the analyzer, and the analysis conditions. It has a measurement example of a standard sample with traceability that guarantees the reliability measured using it, and an analysis value including uncertainty.
  • 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 receives the registration request. If necessary, confirm and analyze the information using an atomic absorption spectrophotometer 27 owned by the server system on the administrator side, and supplement the information to improve the rank. Specifically, the registration information is classified into four levels, A, B, C, and unranked. Information that is rated as refused to be registered in the database. By performing such a ranking, it is possible to provide a user using the present system with information for easily determining analysis conditions and data reliability.
  • the search process is basically the same as that of the first embodiment. That is, the processing of the flowcharts shown in FIGS. 4 to 6 is performed.
  • Fig. 18a shows the login screen 70.
  • the user enters information in the "User ID” and “Password” and clicks the "Connection” button to complete the entry.
  • Fig. 18 b shows an example of the screen display of the search window.
  • a field for selecting “Classification of data” is added to the key input area 71. That is, the data rank can also be input as one of the search items.
  • the ranking in the present embodiment is divided into three of A, B, and C according to the type of registered data. The details of the ranking will be described later in the description of the “registration process”.
  • the search is executed by inputting key information in the key input area 7 1 and clicking the “go” button 7 2.
  • the search results are displayed in a list field 74.
  • Fig. 19 shows an example of screen display of a window showing search results.
  • the details of the information selected from the list field 74 are displayed by clicking the “View” button 76 in FIG. 18.
  • Area 85, standard substance data list area 86, and analysis value area 87 are displayed.
  • the analysis result graph area 85 includes a graph of the standard solution repeated measurement results (STD soln.), A graph of the measurement results of the actual sample (Heal Sample), and a measurement result of the standard material with a good traceability. A graph (Standard reference Material) and a calibration curve are displayed.
  • the reference material data list area 86 numerical values related to uncertainty are displayed.
  • the components of uncertainty include the standard solution (STD solution) and the calibration solution.
  • A standard solution
  • B calibration solution adjustment
  • C sample adjustment
  • D coupling of calibration solution and sample measurement
  • Extended uncertainty is calculated using the combined uncertainty value.
  • the formula is as follows.
  • the measured value is the numerical data of the actual sample measurement result
  • “measured value with uncertainty” is the numerical data obtained by multiplying the measured value by the expanded uncertainty.
  • the data in the analysis result graph area 85, standard substance data list area 86, and analysis value area 87 are all displayed if they are of rank A, but the data of rank B and C are not displayed. May not be displayed.
  • FIG. 20 shows an example of the display screen after the user logs in to perform the registration process.
  • the analysis result graph area 305 in addition to the data list display area 300 and the measurement parameter area 301, the analysis result graph area 305, the standard substance data list area 306, the analysis value area 307, and the data The rank display area 3 0 8 is displayed.
  • a list of measurement data stored in the user's data processing device is displayed in a tree structure.
  • the measurement parameter area of the selected data file is displayed in the measurement parameter area 310.
  • a graph of the standard solution repeated measurement results (STD soln.) A graph of the actual sample measurement results (Real Sample), and a traceable standard material
  • the measurement result graph (Standard reference Material) and the calibration curve used for these measurements are displayed in the analysis result graph area 305.
  • data relating to the uncertainty input / calculated by the user is displayed. This area is also displayed if data is stored in the selected data file.
  • the numerical value of the measured value of the actual sample and the numerical value of the measured value in consideration of the uncertainty are displayed.
  • rank display area 308 a rank corresponding to the type of data stored in the data file is displayed. If all of the measurement parameter area 31 0, analysis result graph area 30 5, reference material data overnight area 30 06, and analysis value area 30 07 contain information, rank A is entered. Is done.
  • Fig. 21a shows a display example of the "key information registration screen" window in this embodiment. This screen is almost the same as in the first embodiment. Click ⁇ Factory Submit '' button 3 17 to send the data to the server. It is. If the server returns a registration completion notice with the privilege points, the completion notice message 320 of FIG. 21b is displayed.
  • step 541) Since the processing on the server side is also substantially 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 for subroutine F (step 541) is different.
  • FIG. 1 A flowchart of this process is shown in FIG.
  • the access management program confirms the rank of the registration request data received from the user.
  • the ranking in the present embodiment is classified into three types, A, B, and C, according to the type of registered data.
  • the data received as Rank A will be examined in Step 1801 for the following five items.
  • the server has a database of reference materials, and the guaranteed value stored here is used.
  • the “composite uncertainty” and “extended uncertainty” are again calculated on the server side. Specifically, calculations are performed using the uncertainty values of “standard solution”, “calibration solution adjustment”, “sample adjustment”, and “combination of calibration solution and sample measurement” in the data sent from the user. , In the data sent from the user Confirm that the values of "composite uncertainty” and "extended uncertainty” are calculated correctly.
  • the data conversion program reads the system data format information based on the system information, and based on this information, the analysis conditions are used as the standardized format for the analysis data. (Step 1804). After the conversion, the data conversion program creates a database registration request using the database operation language, sends the data to the database management program along with the key information and the analysis data converted to the standard format, and registers it. Make a request (step 1805). When you receive the registration completion from the database management program (Step
  • the ID and key information of the requester are recorded in the database addition log so that the database administrator can check the registered contents (step 1807).
  • the privilege points of the request source recorded in the user data are added (step 1808), and the registration completion is transmitted to the request source together with the added privilege points (step 1809).
  • step 1801 If there is a problem as a result of the examination in step 1801, a notice of refusal of registration is sent to the requestor (step 1801).
  • the data received as ranks B and C are examined in step 1802.
  • the items examined here are (a) whether there is any 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),
  • step 1803 the server side administrator will improve the rank of registered data It is determined whether or not to perform (step 1803). If the rank does not need to be raised, the process directly proceeds to step 1804 to perform the registration process.
  • the analysis is performed using the atomic absorption spectrophotometer 27 and the data processing device 26 thereof. For example, in the case of rank B data, traceability was obtained using the analysis condition information of the transmitted data because the measurement results of the reference material with traceability and the information on uncertainty were insufficient. Measure the reference material 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.
  • step 1804 If the reference material with traceability was measured and the uncertainty was calculated and the actual sample could not be analyzed, proceed to step 1804 as rank B.
  • the above is the second embodiment using an atomic absorption spectrophotometer as an example.
  • a measurement example of a reference material with traceability and data on uncertainty are added, so that a more reliable database can be constructed.
  • the reliability of the registered information can be confirmed and the information can be downloaded.
  • the server system on the administrator side is equipped with the same analyzer as that on the user side, so that information can be supplemented as necessary and the registered information can be ranked. Therefore, the quality of the database can be improved on the server side, and a more reliable database can be constructed.
  • analysis information is registered by a large number of individuals or groups, a database operator can automatically construct a large-scale database without human intervention, and The latest information will be added.
  • analysts can significantly reduce the time required to develop new analytical conditions.
  • data is stored in a standardized data format, it is possible to build a data base that can be used in common between data processing devices of different versions.
  • data can be converted and then downloaded according to the file format of each data processing device, so that different types of data and analysis parameters can be used directly.
  • the benefits can be gained by charging users.
  • the exclusive use of the database for example, by restricting access rights to the purchaser of a specific analyzer, can promote the sale of the analyzer.

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  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Automatic Analysis And Handling Materials Therefor (AREA)

Abstract

L'invention concerne un système de base de données pour un appareil d'analyse, dans lequel les informations relatives à une analyse effectuée par un certain nombre ou par un groupe de personnes sont aisément mémorisées sous forme de base de données, permettant ainsi à chacun d'avoir accès à ces informations. La présente invention porte également sur un système d'analyse comprenant les éléments suivants : un appareil d'analyse pour analyser un échantillon, un serveur disposant d'une banque de données relatives aux états d'analyse de l'appareil d'analyse, et Internet pour connecter l'appareil d'analyse avec le serveur. L'appareil d'analyse transmet un état de recherche au serveur par l'intermédiaire d'Internet. Après avoir reçu cet état de recherche, le serveur recherche les données d'état d'analyse correspondant à l'état mémorisé dans sa base de données et, s'il les trouve, il les transmet à l'appareil d'analyse. L'appareil d'analyse utilise ces données d'état d'analyse comme son propre état d'analyse et il analyse l'échantillon. Enfin, les informations concernant l'analyse sont enregistrées par plusieurs personnes ou par un groupe, et le gestionnaire de bases de données peut élaborer une base de données à grande échelle automatiquement, sans aide extérieure.
PCT/JP2001/009437 2001-02-23 2001-10-26 Systeme d'analyse WO2002068963A1 (fr)

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JP2021177178A (ja) * 2015-06-30 2021-11-11 エメラルド クラウド ラボ、インコーポレイテッド 実験室の実験データ調査および可視化
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JP5557750B2 (ja) * 2008-12-09 2014-07-23 株式会社日立ハイテクノロジーズ 自動分析装置
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JP2020085827A (ja) * 2018-11-30 2020-06-04 株式会社島津製作所 分析システム、分析装置、サーバおよび情報処理方法
JP7143743B2 (ja) 2018-11-30 2022-09-29 株式会社島津製作所 分析システム、分析装置および情報処理方法
KR20200140977A (ko) * 2019-06-07 2020-12-17 켐아이넷(주) Gc/ms 및 lc/ms 기반 법독성데이터 처리 통합 플랫폼
KR102260274B1 (ko) 2019-06-07 2021-06-04 켐아이넷(주) Gc/ms 및 lc/ms 기반 법독성데이터 처리 통합 플랫폼
CN111372075A (zh) * 2020-02-28 2020-07-03 钱秀华 网络图像诊断方法、装置及图像处理设备
CN111372075B (zh) * 2020-02-28 2021-03-05 上海营湾医疗科技有限公司 网络图像诊断方法、装置及图像处理设备
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