WO2022168433A1 - 自動分析装置および自動分析システム - Google Patents

自動分析装置および自動分析システム Download PDF

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Publication number
WO2022168433A1
WO2022168433A1 PCT/JP2021/045125 JP2021045125W WO2022168433A1 WO 2022168433 A1 WO2022168433 A1 WO 2022168433A1 JP 2021045125 W JP2021045125 W JP 2021045125W WO 2022168433 A1 WO2022168433 A1 WO 2022168433A1
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WIPO (PCT)
Prior art keywords
voice
unit
automatic
instruction
automatic analysis
Prior art date
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Ceased
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PCT/JP2021/045125
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English (en)
French (fr)
Japanese (ja)
Inventor
信宏 小泉
健治 川崎
愛華 中島
善裕 関
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Hitachi High Tech Corp
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Hitachi High Tech Corp
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Publication date
Application filed by Hitachi High Tech Corp filed Critical Hitachi High Tech Corp
Priority to US18/271,491 priority Critical patent/US20240069048A1/en
Priority to JP2022579365A priority patent/JP7578732B2/ja
Priority to EP21924818.4A priority patent/EP4290239A4/en
Priority to CN202180089915.2A priority patent/CN116710784A/zh
Publication of WO2022168433A1 publication Critical patent/WO2022168433A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584Control arrangements for automatic analysers
    • G01N35/00594Quality control, including calibration or testing of components of the analyser
    • G01N35/00712Automatic status testing, e.g. at start-up or periodic
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584Control arrangements for automatic analysers
    • G01N35/00722Communications; Identification
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/16Sound input; Sound output
    • G06F3/167Audio in a user interface, e.g. using voice commands for navigating, audio feedback
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue

Definitions

  • the present invention relates to an automatic analyzer that performs spectroscopic analysis, emission analysis, chromatographic analysis, mass spectrometry, etc., and an automatic analysis system that includes a plurality of automatic analyzers.
  • Autoanalyzers biochemically or immunologically analyze samples such as blood and urine, and photochemically and electrically detect reactions between trace substances to be analyzed in samples and components of test reagents. .
  • a voice recognition device that converts a voice signal into a predetermined code is connected to an instruction receiving unit that issues an operation command to an analysis unit, enabling voice input.
  • the analyzer can be operated by voice.
  • a detection unit that detects at least one of sound and video of a user's instruction, a recording unit that records analysis information for analyzing the content of the sound or video, and a detection unit that detects a recognition unit for recognizing a user's instruction based on the sound or image and analysis information generated; and a control signal output unit for outputting a control signal for controlling the operation of the automatic analyzer based on the instruction content recognized by the recognition unit.
  • the recognizing unit further includes an operation specifying unit that specifies a user based on the analysis information and a plurality of pieces of information emitted from the user detected by the detecting unit, and specifies operations that can be performed by the user specified by the recognizing unit.
  • JP-A-7-318565 Japanese Patent Application Laid-Open No. 2020-51800
  • Both of the two patent documents improve user convenience by enabling voice operation.
  • ensuring safety against operations caused by erroneous recognition of voice becomes a problem.
  • voice is used as input means
  • erroneous operations due to erroneous recognition of voice are more likely to occur than direct input means such as a touch panel.
  • direct input means such as a touch panel.
  • misrecognition will occur if the person has poor articulation, speaks softly, speaks quickly, wears a mask, or is surrounded by loud noise.
  • Inappropriate operation of an automatic analyzer may lead to an accident involving injury, so ensuring safety is an important issue.
  • the present invention has been made in view of the above points, and an automatic analysis device or an automatic analysis system that enhances convenience by enabling the automatic analysis device to be operated by voice input, and also enhances safety against erroneous recognition of voice. intended to provide
  • An automatic analyzer that is one embodiment of the present invention is an automatic analyzer comprising an operation unit that receives voice input from a microphone or a mobile device, and a measurement unit that analyzes a sample
  • the operation unit includes an equipment status acquisition unit that acquires equipment status data of the measurement unit, audio data that is converted from voice input to the microphone into a digital signal, or audio data that is converted from voice input to the mobile device into a digital signal. and converts it into voice instruction text, and if the voice instruction text includes an operation instruction to the measurement unit, the device status data of the measurement unit acquired by the device status acquisition unit and the voice instruction an apparatus operation propriety determination unit that determines whether or not an operation instruction included in the voice instruction text can be executed based on the certainty of the text;
  • an automatic analysis system which is an embodiment of the present invention, includes a plurality of automatic analyzers each having a measurement unit for analyzing a sample, and a network connected to the plurality of automatic analyzers to manage the plurality of automatic analyzers.
  • the management server includes, from a plurality of automatic analyzers, a device status acquisition unit that acquires device status/operation information data including device status data of the measurement unit and operation information for the automatic analyzer related to the device status data;
  • a voice detection/recognition unit that acquires voice data obtained by converting the voice input to the device into a digital signal and converts it into voice instruction text, and a voice instruction when the voice instruction text includes an operation instruction to the automatic analysis device
  • a system management unit that identifies the automatic analysis device to be operated by the operation instructions included in the text, and a device communication unit that transfers the voice data acquired from the mobile device or the corresponding voice instruction text to the automatic analysis device specified by the system management department and
  • FIG. 1 is a configuration example of an automatic analysis system of Example 1.
  • FIG. It is a hardware configuration example of an operation unit.
  • 4 is a configuration example of software blocks related to voice input processing of Example 1.
  • FIG. FIG. 10 is a diagram illustrating an example of a voice input processing sequence according to the first embodiment; 4 is a flowchart of operation availability determination processing; It is a figure which shows the data structure of a determination table. It is a configuration example of the automatic analysis system of Example 2.
  • FIG. 10 is a diagram illustrating an example of a voice input processing sequence according to the second embodiment;
  • FIG. 11 is a configuration example of software blocks related to voice input processing of the second embodiment;
  • FIG. 4 is a flowchart of a voice input processing program executed by a management server;
  • FIG. 4 is a diagram showing the data structure of a management table;
  • FIG. 11 is a configuration example of software blocks related to voice input processing of the second embodiment;
  • FIG. 1 is a diagram showing a configuration example of an automatic analysis system of Example 1.
  • the automatic analyzer 100 has a measurement section 101 and an operation section 102 .
  • the measurement unit 101 biochemically or immunologically analyzes a specimen such as blood or urine, and photochemically or electrically detects a reaction between a trace substance to be analyzed in the specimen and a test reagent component.
  • a measuring unit is provided according to the analysis performed by the automatic analyzer 100, such as spectroscopic analysis, emission analysis, chromatographic analysis, and mass spectrometry. Although an example including one measurement unit is shown here, a plurality of measurement units may be provided.
  • the operation unit 102 is connected to the measurement unit 101, generates a control instruction (command) according to a user's instruction, transmits it to the measurement unit 101, receives the measurement result of the measurement unit 101, and displays it on a screen or the like. to display.
  • the automatic analyzer 100 of the present embodiment is equipped with a microphone 103 in the operation unit 102 in order to enable voice input.
  • the user can operate the automatic analyzer without directly operating the operation unit 102 (for example, an operation involving finger contact from a GUI screen, a button provided in the operation unit 102, or a keyboard).
  • You will be able to give instructions to 100.
  • the system further includes a mobile device 107 that is preferably wirelessly connected to the console 102 .
  • the mobile device 107 includes a microphone and may be a device that can be carried or worn by the user, such as a pin microphone, headphones, a smart phone, a tablet, smart glasses, and a smart watch.
  • the inspection plan management server 105 creates a daily inspection plan for the facility where the automatic analyzer 100 is installed, and distributes the inspection schedule to the automatic analyzer owned by the facility.
  • the inspection schedule includes information such as what time the automatic analyzer starts pre-measurement preparations and when specific operations such as maintenance, calibration, and accuracy control start.
  • the operation unit 102 and the examination plan management server 105 are communicably connected via a network 106 .
  • FIG. 2A shows a hardware configuration example of the operation unit 102.
  • the operation unit 102 includes a processor 201 , a memory 202 , a storage 203 , a display interface 204 , an input/output interface 205 , a network interface 206 and an audio input port 207 , all of which are connected by a bus 208 . It may also include input/output (I/O) ports for connecting with external devices. Audio input port 207 is connected to microphone 103 .
  • the input/output interface 205 is connected to an input device 210 such as a keyboard and buttons, and the display interface 204 is connected to a display 209 to implement a GUI (Graphical User Interface).
  • GUI Graphic User Interface
  • a network interface 206 is an interface for connecting with the network 106 and the mobile device 107 .
  • the storage 203 is usually composed of a non-volatile memory such as an HDD (Hard Disk Drive), SSD (Solid State Drive), flash memory, etc., and stores programs executed by the operation unit 102, data to be processed by the programs, and the like.
  • the memory 202 is composed of a RAM (Random Access Memory), and temporarily stores programs, data necessary for executing the programs, and the like according to instructions from the processor 201 .
  • the processor 201 executes programs loaded from the storage 203 to the memory 202 .
  • FIG. 2B shows a configuration example of software blocks related to voice input processing of the operation unit 102.
  • the functions of the operation unit 102 are realized by executing a program stored in the storage 203 by the processor 201 in cooperation with other hardware.
  • a program executed by a computer or the like, its function, or a means for realizing that function may be called a "function", a "unit", or the like.
  • the voice detection/recognition unit 211 acquires voice data obtained by converting the voice from the microphone 103 into a digital signal at the voice input port 207, or voice data obtained by similarly converting the voice input to the mobile device 107 into a digital signal, A process for recognizing the content is performed.
  • the inspection plan acquisition unit 212 acquires the inspection schedule of the automatic analyzer from the inspection plan management server 105 .
  • the device state acquisition unit 213 acquires device state data indicating the device state of the measurement unit 101 . Based on the device state data acquired by the device state acquisition unit 213 and the inspection schedule information acquired by the inspection plan acquisition unit 212, the apparatus operability determination unit 214 responds to user instructions recognized by the voice detection/recognition unit 211.
  • the control command output unit 215 receives an operation instruction from the user from the apparatus operation possibility determination unit 214 and transmits the corresponding control command to the measurement unit 101 .
  • the screen display/audio output unit 216 displays the operation of the apparatus and the results of analysis and measurement on the screen, and outputs the results by voice from a speaker.
  • FIG. 3 is a diagram showing an example of the voice input processing sequence of the automatic analyzer.
  • the inspection plan acquisition unit 212 acquires an inspection schedule (inspection plan data 302 ) from the inspection plan management server 105 at regular intervals (step 312 ), and transmits it to the apparatus operability determination unit 214 .
  • the changed examination schedule may be transmitted from the examination plan management server 105 to the examination plan acquisition unit 212 when the examination schedule is changed.
  • the device state acquisition unit 213 acquires the device state data 301 from the measurement unit 101 at regular intervals (step 311 ), and transmits the data to the apparatus operability determination unit 214 .
  • the measurement unit 101 may transmit the changed device state data 301 to the device state acquisition unit 213 when the device state changes.
  • the user utters words for operating the device such as "start”, “stop”, “start maintenance”, “start calibration”, and “start accuracy control” from the microphone 103 or the mobile device 107.
  • the microphone 103 and the mobile device 107 acquire the voice data 304 and transmit it to the voice detection/recognition unit 211 .
  • the voice detection/recognition unit 211 converts the voice data 304 into text data (referred to as “voice instruction text”) (step 313 ), and transmits the text data to the apparatus operability determination unit 214 .
  • the apparatus operation availability determination unit 214 Upon receiving the voice instruction text from the voice detection/recognition unit 211, the apparatus operation availability determination unit 214 permits the operation according to the instruction content of the voice instruction text based on the latest examination schedule and device status data at that time. It is determined whether or not to do so (step 314). Details of the determination process will be described later.
  • the device operation permission determination unit 214 transmits an operation instruction for executing the operation to the control command output unit 215 (step 315).
  • the control command output unit 215 converts the received operation instruction into a corresponding control command (step 316 ), and transmits the command to the measurement unit 101 .
  • the measurement unit 101 performs an operation according to the control instruction (step 317).
  • the measurement unit 101 transmits the execution result to the control command output unit 215 , and the control command output unit 215 transmits the execution result to the screen display/audio output unit 216 .
  • the screen display/speech output unit 216 uses the screen and sound to show the user the execution result of the instruction by the speech input.
  • the screen and sound output method may be optimized according to the characteristics of the output device. For example, if the display screen is a tablet screen, detailed information may be displayed. For example, if the display screen is a smartwatch screen, the displayed information may be minimized and combined with voice or vibration.
  • step 314 A processing example of the operability determination process (step 314) of the device operability determination unit 214 will be described using the flowchart of FIG.
  • the action instruction to start the specific action is not issued (the action cannot be performed). as) and terminates the process (step 401).
  • the screen display/speech output unit 216 may be configured to give a voice guidance such as "Since maintenance is scheduled to be performed on this apparatus in N hours, it will not be performed now.” Specific operations are not limited to maintenance, and calibration and accuracy control can be set as specific operations, for example. In this case, similarly, the screen display/audio output unit 216 is instructed by voice that "This device is scheduled to perform calibration (accuracy control) in N hours, so it will not be performed now.” do it. Note that the predetermined time that is used as a reference for terminating the process as an action-disabled time may be different for each specific action.
  • the automatic analyzer performs an operation not intended by the user due to an erroneous recognition in the voice recognition, resulting in a decrease in inspection efficiency. or cause an accident. Therefore, in this embodiment, in order to avoid such a problem, a threshold based on the device status data of the device and the certainty of the voice instruction text is determined in advance. only, the action instruction implied by the voice instruction text can be executed.
  • FIG. 5 shows the data structure of the determination table 303 that sets the threshold of certainty of speech recognition.
  • the vertical axis of the determination table 303 indicates the equipment status of the automatic analyzer (for example, “during sample measurement”, “stopped”, “during specified operation” (here, an example of batch setting is shown, but individual specified operation (maintenance , calibration, quality control, etc.), and the horizontal axis indicates operation instructions (e.g., "start”, “stop”, “execute specific operation” (similarly, may be set for each individual specific operation), etc.).
  • Each cell registers whether the operation instruction is valid or invalid for the combination of the device status data and the operation instruction, and if the operation instruction is valid, the speech recognition certainty threshold for validating the operation instruction. is set.
  • step 401 does not apply, the decision table 303 stored in the storage 203 is read, and the latest device status data at that time and the cell corresponding to the operation instruction recognized for the voice instruction text are searched (step 401). 402). For example, “90%” is set for a cell in which the device status is "measurement of emergency sample” and the operation instruction is "stop". This is because if the device erroneously recognizes that the user has instructed "stop” by voice while measuring emergency samples, and the device stops measuring emergency samples, the effect of delay in testing will increase significantly. This indicates that it is determined that the measurement can be stopped only when the certainty of recognition is 90% or higher.
  • a cell in which "-" is set indicates that the operation according to the recognized operation instruction is not to be executed (not executed, invalid).
  • "-" (disabled) is set in a cell corresponding to the device status "measuring sample” and the operation instruction "start". This is because the device is already measuring the sample, so there is no operation to be executed even if the user instructs "start" by voice.
  • the process ends without issuing a control command to the measuring section 101 (step 403).
  • the screen display/audio output unit 216 provides the user with screen or audio guidance corresponding to the cause. For example, if the action instruction registered in the judgment table 303 is not recognized from the voice instruction text, "The action instruction cannot be recognized", and if "-" is set in the corresponding cell, "The action instruction is It cannot be executed at this time.” is notified to the user.
  • step 403 the degree of certainty of speech recognition is calculated and compared with the set value of the cell.
  • the method of calculating the degree of certainty of speech recognition is as described above. You may make it calculate by multiplying. If the calculated degree of certainty is less than the set value of the determination table 303, the process is terminated without performing anything (step 404). At this time, it is desirable that the screen display/audio output unit 216 provides the user with screen or audio guidance according to the cause of termination.
  • step 405 it is checked whether the user is away from the automatic analyzer (step 405). For example, in the case of voice captured by the microphone 103, it can be determined that the smaller the volume of the voice, the farther away the voice. In the case of the voice from the mobile device 107, it can be determined from the location information of the mobile device 107, the received radio wave intensity, and the like.
  • step 405 If it is determined in step 405 that the user who gave the voice instruction is at a place away from the automatic analyzer, the user instructs the automatic analyzer without visually confirming the status of the automatic analyzer or its surroundings. There is a possibility that In this case, there is a risk that the automatic analyzer will be operated without taking prescribed safety measures. Therefore, in order to call attention, the screen display/audio output unit 216 asks, "Are you sure you want to execute?" An operation instruction is transmitted to the instruction output unit 215 (step 407), and the operation availability determination process ends. When the user is operating the automatic analyzer from a remote location, the screen of the automatic analyzer may display "Remotely operating".
  • step 405 If it is determined in step 405 that the user is not away from the automatic analyzer, it is assumed that the user has confirmed the status of the automatic analyzer and its surroundings, and an operation instruction is sent to the control command output unit 215. (step 406), and the process ends.
  • the present invention is not limited to this.
  • hierarchical display of menus, etc. may be operated by voice. For example, a screen that cannot be displayed without going through several screens can be displayed by simply uttering a short word, thereby further enhancing convenience.
  • FIG. 6 is a diagram showing a configuration example of an automatic analysis system according to the second embodiment.
  • the same reference numerals are assigned to the same constituent elements as in the first embodiment, and overlapping descriptions are omitted.
  • a plurality of automatic analyzers 100 are communicably connected to the inspection plan management server 105, the management server 601, and the wireless access point 602 via the network 106.
  • mobile device 107 is connected to management server 601 via wireless access point 602 .
  • the management server 601 accepts voice data from a plurality of mobile devices 107, identifies an appropriate automatic analyzer from the automatic analyzers (automatic analyzers connected to the network 106) managed by the management server 601, and controls its operation unit. transfer to Although an example in which the examination plan management server 105 is connected to the network 106 is shown here, the examination plan management server 105 is not connected to the network 106, and the management server 601 and the network 106 are connected to different networks. may be configured to connect In this case, in the automatic analysis system, the management server 601 acquires inspection plan data from the inspection plan management server 105 via a different network, so that it can play the role of the inspection plan management server 105 in the first embodiment. can.
  • the device state/operation information data 701 includes the device state of the measurement unit and information on the operation of the automatic analyzer that changed the measurement unit from the previous device state to the device state. Alternatively, upon detecting that the device state has changed, the device state/operation information data 701 is transmitted to the management server 601 .
  • the management server 601 can always grasp the latest device states of the automatic analyzers 100-1 to 100-n.
  • the user responds to the microphone of the mobile device 107 by asking, "What kind of operation is to be performed on which automatic analyzer?" utter a word that represents
  • the mobile device 107 acquires the user's utterance as voice data 702 and transmits it to the management server 601 .
  • the management server 601 converts the voice data 702 into voice instruction text, specifies the designated automatic analyzer or, if no device is specified, specifies an appropriate automatic analyzer (step 710), and sends the voice data to the operation unit 102. 702.
  • the operation unit 102 receives the transferred voice data 702, executes the voice input processing sequence, and executes the operation instruction indicated by the voice data 702 (step 711).
  • the automatic analyzer to which the voice data 702 has been transferred executes the voice input processing sequence described in the first embodiment.
  • the automatic analysis device sends a completion notification and, if necessary, an execution result to the management server 601 .
  • the management server 601 transfers the audio data 702 to the mobile device 107 that sent them (referred to as the access source mobile device).
  • FIG. 8 shows a configuration example of software blocks related to voice input processing of the operation unit 102.
  • a server communication unit 801 transmits and receives necessary data to and from the management server 601 .
  • the automatic analyzer to which the voice data 304 is transferred executes the voice input processing sequence described in the first embodiment.
  • the server communication unit 801 is configured to perform the function of the examination plan acquisition unit 212 of the first embodiment.
  • the voice input processing sequence of Example 1 can be executed.
  • the voice detection/recognition unit 211 acquires the voice data 304 from the server communication unit 801 and performs processing to recognize the content.
  • the device state acquisition unit 213 acquires device state data from the measurement unit 101 and transmits the data to the server communication unit 801 to notify the management server 601 .
  • the apparatus operation availability determination unit 214 responds to the user's operation instruction recognized by the voice detection/recognition unit 211. determines whether or not to permit the operation of the device that
  • the control command output unit 215 receives an operation instruction from the user from the device operation availability determination unit 214 and transmits the corresponding control command to the measurement unit 101 .
  • the end notification and, if necessary, the execution result are transmitted to the server communication unit 801 to notify the mobile device 107 via the management server 601 .
  • the screen display/audio output unit 216 displays the operation of the device and the results of analysis and measurement on the screen, and outputs the results by voice from a speaker.
  • FIG. 11 shows a configuration example of software blocks related to voice input processing of the management server 601.
  • the hardware configuration of the management server 601 is the same as the hardware configuration of the operation unit 102 shown in FIG. 2A, so description thereof will be omitted.
  • the voice detection/recognition unit 211 acquires the voice data 702 from the mobile device 107 from the mobile communication unit 1101 and performs processing to recognize the content.
  • the device state acquisition unit 1102 acquires the device state/operation information data 701 from each of the automatic analyzers 100-1 to 100-n, and transmits the device state/operation information data 701 to the system management unit 1103.
  • the system management unit 1103 Based on the device state/operation information data 701 acquired by the device state acquisition unit 1102 , the system management unit 1103 identifies the automatic analysis device corresponding to the user's operation instruction recognized by the voice detection/recognition unit 211 .
  • the device communication unit 1104 transfers voice data from the mobile device 107 to the specified automatic analyzer.
  • the management server 601 has the determination table 303 shown in FIG. 5 and a management table 705 to be described later. However, in the determination table of the management server 601, although "-" (non-execution, invalid) is set as the cell value, it is valid as shown in FIG. 5 (not “-" (non-execution)). A threshold for the certainty of voice recognition may or may not be set for the cell.
  • step 900 when the device status/operation information data 701 is received from the operation unit 102 of the automatic analyzer 100 (step 900), the corresponding cell of the management table 705 is updated with the received device status/operation information data 701 (step 901), Return to step 900.
  • Fig. 10 shows the data structure of the management table 705.
  • the management table 705 includes an automatic analyzer name column 1001 , a last operation identifier column 1002 , a last operation date/time column 1003 , an equipment status column 1004 , a lock status column 1005 and an operable mobile device identifier column 1006 .
  • An automatic analyzer name column 1001 records a name that identifies the automatic analyzer. As long as the device can be uniquely identified, it is not limited to the name, and may be an ID or an IP address.
  • the final operation identifier column 1002 based on the device status/operation information data 701, the final operator of the automatic analyzer of the record is recorded.
  • the last operation date and time column 1003 records the last operation date and time of the last operation on the automatic analyzer of the record based on the device status/operation information data 701 .
  • the date and time when the voice data is received is recorded.
  • the device state column 1004 based on the device state/operation information data 701, the latest device state of the automatic analyzer of the record is recorded.
  • the lock status column 1005 records whether or not the access source mobile device that issued the operation instruction to the automatic analysis device of the record has set a lock to prevent operations from other mobile devices. Furthermore, when locked, the identifier of the access source mobile device that is locked is also recorded. In the operable mobile device identifier column 1006, a list of identifiers of mobile devices 107 that are permitted to operate the automatic analyzer of the record is recorded. An operable mobile device identifier is pre-registered for each automated analyzer by a system administrator.
  • the mobile communication unit 1101 When the mobile communication unit 1101 receives the voice data 702 from the mobile device 107 (step 902), the mobile communication unit 1101 transfers the voice data to the voice detection/recognition unit 211, and the voice detection/recognition unit 211 receives the acquired voice data. Convert to voice instruction text.
  • the system management unit 1103 transfers the voice data to all the automatic analyzers when the voice instruction text instructs "emergency stop" for all the automatic analyzers in the automatic analysis system (step 903).
  • "emergency stop” as an operation instruction for all the automatic analyzers managed by the management server 601, designation of the device name can be omitted.
  • "emergency stop” is defined as an operation instruction, and the value of that cell is valid regardless of the device state.
  • the system management unit 1103 checks whether or not the automatic analyzer to be operated is specified (step 904). If the device name is not specified, the last operation identifier column 1002 and the last operation date/time column 1003 of the management table 705 are read to find the automatic analyzer operated at the latest date/time by the access source mobile device. If the corresponding mobile device is found, the automatic analyzer is set as a candidate for operation (step 905). As a result, the user can omit the utterance of the name of the automatic analyzer when continuously performing voice input to the same automatic analyzer, thereby improving the user's convenience. At this time, if the last operation date and time is earlier than the current date and time by a certain amount of time or more, it may be considered that there is no continuous voice input, and the automatic analyzer may not be set as an operation target candidate.
  • step 906 it is checked whether the instructed operation can be executed from the equipment status of the automatic analyzer (step 906).
  • the system management unit 1103 obtains the device status of the automatic analyzer from the management table 705, then refers to the determination table to obtain the device status and the cell value corresponding to the operation instruction indicated by the voice instruction text. . If the cell value is valid, go to step 908 . On the other hand, if the cell value is "-" (non-execution), the operation instruction is impossible or meaningless, and there is a possibility that the user has mistakenly specified the automatic analyzer to be operated.
  • the system management unit 1103 acquires the device status of other automatic analyzers from the device status column 1004 of the management table 705, and similarly determines the validity of the operation instruction using the determination table. Since the automatic analyzer whose cell value is valid can execute the operation instruction, there is a possibility that the automatic analyzer is the one intended to be operated by the user. Therefore, for example, if the automatic analyzer for which the cell value is valid is No. 3, the system management unit 1103 recommends through the mobile communication unit 1101 such as "Are you sure you are not mistaken for No. 3?" step 907) and return to step 900;
  • the system management section 1103 checks whether the user has the authority to operate the automatic analyzer (step 908). From the operable mobile device identifier column 1006 of the management table 705, the cell of the relevant automatic analyzer is examined. On the other hand, if the identifier of the access source mobile device is not included, it is determined that there is no operation authority, and the process returns to step 900 . At this time, the mobile communication unit 1101 transmits data indicating that there is no operation authority to the access source mobile device, and the access source mobile device displays a result such as "There is no operation authority for the third device.” Sound output is good.
  • the system management unit 1103 checks whether or not another mobile device 107 has locked the operation target candidate automatic analyzer (step 909). It can be confirmed from the lock status column 1005 of the management table 705 whether or not the candidate automatic analyzer for operation is locked. If the operation target candidate automatic analysis device is unlocked or locked by the access source mobile device itself, it is determined that it is operable and the process proceeds to step 910 . If it is locked by another mobile device, it is determined that the operation is disabled and the process returns to step 900 .
  • the mobile communication unit 1101 transmits data indicating that it is locked by another mobile device to the access source mobile device, and the access source mobile device reads, "Other mobile devices are locked and cannot be operated.” It is recommended to display the results on the screen or output them by voice.
  • the method by which the user locks or unlocks a specific automatic analyzer is explicitly specified by the user, for example, "Unit 1, start locking” or "Unit 1, unlock”. Alternatively, it may be set such that the transfer destination automatic analysis device is locked for a certain period of time from the time when the voice data for a specific voice instruction is transferred to the automatic analysis device.
  • the system management unit 1103 selects the automatic analysis apparatus to be operated in the management table 705. After recording that the lock status is locked by the access source mobile device, the voice data is transferred from the device communication section 1104 to the operation section 102 of the identified automatic analyzer (step 910), and the process returns to step 900.
  • step 902 If no voice data is received from the mobile device 107 in step 902, it is checked whether there is a termination instruction from the administrator of the automatic analysis system (step 911). If there is a termination instruction, this program is terminated, and if there is no termination instruction, the process returns to step 900 .
  • the voice data from the user is transferred from the management server 601 to the automatic analyzer 100, and the voice input processing sequence of the first embodiment is executed for each automatic analyzer 100.
  • flexible voice input processing can be performed by setting the determination table 303 corresponding to the usage situation in the automatic analyzer 100 .
  • the determination table 303 held by the management server 601 in this case, it is assumed that the valid cell of the determination table 303 held by the management server 601 is set with the threshold of the degree of certainty of speech recognition).
  • the voice instruction text recognized by the management server 601 is sent to the automatic analyzer. You may make it transmit. In this case, it is possible to lighten the computational load required for voice input processing in each automatic analyzer.
  • DESCRIPTION OF SYMBOLS 100... Automatic analyzer, 101... Measurement part, 102... Operation part, 103... Microphone, 105... Inspection plan management server, 106... Network, 107... Mobile apparatus, 201... Processor, 202... Memory, 203... Storage, 204...
  • Display interface 205 Input/output interface 206 Network interface 207 Voice input port 208 Bus 209 Display 210 Input device 211 Voice detection/recognition unit 212 Examination plan acquisition unit 213 Device state acquisition unit 214 Device operability determination unit 215 Control command output unit 216 Screen display/audio output unit 301 Device state data 302 Inspection plan data 303 Decision table 304, 702 Voice data 601 Management server 602 Wireless access point 701 Device status/operation information data 705 Management table 801 Server communication unit 1001 Automatic analyzer name column 1002 Final operation identifier column 1003 Last operation date and time column 1004 Device state column 1005 Lock status column 1006 Operable mobile device identifier column 1101 Mobile communication unit 1102 Device state acquisition unit 1103 System management unit 1104 Device Communication department.

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