JP5401413B2 - Analysis system - Google Patents

Description

  The present invention relates to an automatic analysis system typified by a specimen test, and more particularly to an automatic analysis system having a pre-processing module for dividing a processing object when the processing object can be divided and processed.

  In recent years, specimens such as blood and urine of patients are subject to pre-processing modules that perform processing such as centrifugation, opening, and dispensing, modules that perform analysis according to test items, and modules that perform post-processing such as classification, storage, and disposal. , A transfer module that joins them, a buffer module that temporarily holds them, a server that manages these modules, a server that manages inspection information and creates a processing plan, and an automatic analysis that consists of a terminal for inspection engineers to manage equipment The system is automating various pre-processing / post-processing, transport, and analysis processes.

  In the inspection work using this automatic analysis system, further speedup is required. One of the main issues in speeding up recently is to quickly test a sample with a higher priority (emergency sample) than a sample with a general priority (normal sample). Although it depends on the hospital policy, for example, it is required to examine normal samples in 40 to 50 minutes and emergency samples in 20 to 30 minutes.

  In response to the demand for speeding up, for example, in Patent Document 1, a dispensing mechanism capable of performing dispensing processing on both the conveyance line and the work line drawn from the conveyance line is provided, and the specimen is usually drawn into the work line. On the other hand, a technique is disclosed in which an urgent sample can be quickly dispensed by allowing the urgent sample to be dispensed first on a transport line.

JP2009-8552

  In inspection work using an automatic analysis system, speeding up of processing and cost reduction are also required. Specific problems for cost reduction include, for example, reducing the amount of consumables used, such as reagents and dispensing cups and tips. However, although the technique described in Patent Document 1 can preferentially process an urgent sample, it is impossible to change the number of dispenses to adjust the time required for inspection and the amount of consumables to be used. In other words, when measuring immunity items and biochemical items, normal samples with sufficient test time should be dispensed into 1 aliquot (divided into 1 child sample) and transported sequentially to the immunity and biochemistry analysis module. It is possible to reduce expendables by reducing the expiry time by displacing emergency specimens with insufficient test time in two or more and transporting them separately to the immunity and biochemistry analysis module. Can not. Also, even in the case of emergency samples, if the automatic analysis system is not congested and can be examined in a short time even with a single dispense, it will be processed in 1 dispense, and if it becomes crowded, it will be dynamically changed to 2 dispenses or more. By doing so, the consumables cannot be suppressed as much as possible while keeping the target time of inspection.

  In view of the above problems, a technique is provided that can complete a test by a target time determined for each specimen and suppress consumables.

  The analysis system includes a plurality of analysis modules that perform analysis of each analysis target, a transfer module that performs transfer of the analysis target to a plurality of analysis modules, and one or a plurality of analyzes using a parent analysis target that is input to the system. It has a division module that creates a target, and a management unit that manages the type of analysis processing required for the parent analysis target and the priority required for the parent analysis target. Based on the type and priority of the analysis process, the management unit determines a process plan including the number of analysis objects created from the parent analysis object and the analysis process type to be executed for each analysis object. Decide to make the number as small as possible. Then, the division module is controlled so as to create one or a plurality of analysis objects from the parent analysis object according to the number of analysis objects. Furthermore, the management unit controls the transport module and the plurality of analysis modules so that the analysis processing according to the processing plan is executed for each analysis target.

  The analysis target can be analyzed within a time according to the priority, and consumption of consumables can be suppressed.

It is a figure which shows an example of the system configuration | structure of an automatic analysis system. It is explanatory drawing which shows an example of the function and operation | movement of an automatic analysis system. It is explanatory drawing which shows an example of dispensing and conveyance of an automatic analysis system. It is explanatory drawing which shows another example of dispensing and conveyance of an automatic analysis system. It is a figure which shows the example of the structure of the conveyance mechanism of the sample holder which mounts a sample, and each module. It is a figure which shows the example of the structure of the data of the RFID tag of a detection holder. It is a figure which shows the example of the structure of the completion report data of the process with respect to the sample of a module. It is a figure which shows the example of the structure of the status report data of a module. It is a figure which shows the example of the structure of the process instruction data with respect to a module. It is a figure which shows the example of the structure of the dispensing instruction data with respect to a module. It is a figure which shows the example of the structure of the completion status data of the process with respect to a sample. It is a figure which shows the example of the structure of the state data of a module. It is a figure which shows the example of the structure of the conveyance plan table of a sample. It is a figure which shows the example of the structure of the sample dispensing plan table. It is a figure which shows the example of the structure of a conveyance path | route table. It is a figure which shows the example of the structure of the process instruction table which a management apparatus manages. It is a figure showing the example of the structure of the inspection request table which an inspection information management server manages. It is a figure which shows the example of the plan candidate file which an inspection information management server manages. It is a figure which shows the example of the structure of the target time table which an inspection information management server manages. It is a figure which shows the example of the structure of the target correction table which an inspection information management server manages. It is a figure which shows the example of the structure of the processing time table which an inspection information management server manages. It is a flowchart which shows an example of the process performed by a test | inspection information management server among the processes which an automatic analysis system formulates and performs the plan of dispensing and conveyance. It is a flowchart which shows an example of the process performed by an apparatus management server among the processes which an automatic analysis system formulates and performs the plan of dispensing and conveyance. It is a flowchart which shows an example of the process performed by each module among the processes which an automatic analysis system makes and plans a dispensing and a conveyance. It is a flowchart which shows an example of the process for selecting the candidate of the sample used as the plan planning object of dispensing / conveyance. It is a flowchart which shows an example of a calculation process of a progress condition. It is a flowchart which shows an example of the process for selecting the candidate of the sample used as the object of instruction | indication production | generation. It is a figure which shows an example of the process performance displayed on an operating terminal. It is explanatory drawing which shows the difference with the conventional method regarding processing time and consumption of a consumable.

Hereinafter, typical modes for carrying out the present invention will be described with reference to the drawings as appropriate. Note that, in these drawings, the same components are given the same reference numerals in principle, and redundant description is omitted when they are used repeatedly.
<System configuration>
FIG. 1 is a system configuration diagram of an automatic analysis system according to an embodiment. As shown in FIG. 1, the automatic analysis system 10 includes a module group 11, an apparatus management server 12, an inspection information management server 13, and an operation terminal 14. Each module of the module group 11 and the device management server 12 are connected via a device information network 17 constituted by a LAN (Local Area Network) using Ethernet (registered trademark) or the like. The apparatus management server 12, the inspection information management server 13, and the operation terminal 14 are similarly connected via the inspection information network 18. The examination information management server 13 is connected to other hospital systems such as an electronic medical record system via the hospital network 19.

  The module group 11 includes a loading module 101 that performs pre-processing, a centrifuge module 102, an opening module 103, a dispensing module 104, a storage module 105 that performs post-processing, and buffer modules 113, 114, 115, and 116 that temporarily hold samples. Coagulation analysis modules 121 and 123 for performing analysis, biochemical analysis modules 122 and 124, immune analysis modules 125 and 126, a transport line module 111 (a to h) and a direction changing module 112 (a to d) and is installed in the arrangement shown in Fig. 1.

  Each of these modules has a plurality of transport paths for carrying in and out of the sample, and the transport paths of adjacent modules are connected to each other so that the sample can be transferred between the modules. For example, the first (101a) and second (101b) transport paths from the bottom of the input module 101 can be transported from left to right, and the top third (101c) transport path is from right to left. Transport is possible. Similarly, the other modules can transport the sample in the direction of return and return. Further, the direction changing module 112 has four direction changing mechanisms inside, and can carry out the loaded sample in an arbitrary direction. It is assumed that the module in this embodiment needs to pass through the first one (the conveyance path closest to the processing mechanism) in order to perform processing such as opening and dispensing.

  A basic inspection flow will be described. First, a laboratory technician installs a sample (a test tube containing blood or urine) on the tray of the input module 101. The installed specimen is transported to the centrifugal module 102 after the specimen is installed on the holder by a robot arm or the like. The specimen carried to the centrifuge module 102 is centrifuged for 3 to 5 minutes, and is transported to the plug-opening module 103. If centrifugation is not required, the sample is transferred to the plug-opening module 103 without being carried out. The specimen carried to the opening module 103 is removed from the stopper and conveyed to the dispensing module 104. If centrifugation and opening are not required, the sample is conveyed to the dispensing module 104 without being performed. The specimen transported to the dispensing module 104 dispenses a predetermined amount into another container such as a cup or a chip according to the examination item. The parent sample that is the dispensing source is transported to the storage module 105 via the return transport path. The dispensed child sample is transported to the biochemical analysis module 122 corresponding to the test item via the transport line 111, the direction changing module 112, and the buffer module 113, for example, when testing the biochemical item. The specimen transported to the biochemical analysis module 122 is mixed with a reagent and reacted, and then a predetermined analysis is performed. The child sample that has been examined is disposed of.

  In this embodiment, one input module, one centrifuge module, one opening module, one dispensing module, one storage module, four buffer modules, two coagulation analysis modules, and biochemical analysis module 2 The number of units is two and the number of immunological analysis modules is two or more. In addition, there may be a module that performs capping, a module that performs classification processing for outsourcing, a module that refrigerates the parent sample, and the like. Furthermore, there may be other types of modules such as gene analysis, and there may be modules that can analyze a plurality of items at once. Further, the number and arrangement of the transfer line modules and direction changing modules may be changed according to the layout of the examination room.

  Further, in the module of the present embodiment, for each module, it is possible to perform various kinds of processing on the sample only when the first sample is transported. However, the second and third samples can be processed using a long robot arm or the like. There may be modules. In addition, the number of module lines is three (pre-processing, analysis, post-processing) or two (conveying / direction changing). Also good.

  Further, the apparatus management server 12 and the inspection information management server 13 may be configured to include two or more units according to the processing load and the like. Two or more operation terminals 14 may be provided according to the layout and operation of the examination room, or the apparatus management server 12 and the examination information management server 13 may be substituted. Further, the device information network 17 and the inspection information network 18 may be the same network.

<Functional configuration>
FIG. 2 is a diagram for explaining functions and operations of the automatic analysis system 10 according to the present embodiment. First, the functional configuration of the automatic analysis system will be described with reference to FIG.

  An input module 101, a centrifuge module 102, an opening module 103, a dispensing module 104, a storage module 105, a buffer module 113, 114, 115, 116, a coagulation analysis module 121, 123, and a biochemical analysis module 122 that constitute the module group 11. , 124, the immune analysis modules 125 and 126, the transport line 111, and the direction changing module 112 include the control unit 201.

  The device management server 12 includes a collection unit 211, an instruction change detection unit 212, an instruction unit 213, and a device management DB (Database) 214.

  The inspection information management server 13 includes a planning change detection unit 221, a progress evaluation unit 222, a planning unit 223, and an inspection information management DB 224.

The operation terminal 14 includes an operation management unit 231.
<Overview of operation>
Next, the outline of the operation of the automatic analysis system 10 will be described with reference to FIGS. Here, an emergency sample, which was planned to be processed in one dispense to measure immunity and biochemical analysis items, is processed by changing the plan to two dispenses in response to the system becoming congested. An example will be described. Prior to the operation of the automatic analysis system 10, the control unit 201 of each module informs the collection unit of the apparatus management server 12 of the position of the specimen and the progress of processing, the module abnormality, the remaining amount of consumables, and the degree of congestion. Assume that you are sending. Also, the inspection request is updated to the latest data as needed.

  First, the plan change detection unit 221 of the test information management server 13 receives test request data managed by the test information management DB 224, sample input managed by the apparatus management DB 214, presence / absence of module abnormality, remaining consumables. The amount and congestion data are monitored, and if there is a change, a related sample is selected as a candidate with a plan change. In this example, the emergency sample is selected as a candidate in response to the fact that the system has become crowded.

  Next, the progress evaluation unit 222 of the examination information management server 13 evaluates the progress of the selected specimen using the target time corrected by the module congestion and the predicted completion time. As a result, if the target time has sufficient margin, the planning unit 223 is requested to formulate a plan to reduce dispensing, and if there is no margin or it is not likely to be in time, the plan is increased. . In this example, the emergency sample was predicted to be able to be processed according to the target time in one dispense at the time of the previous plan, but it was found that this calculation would take longer than the target time, and the number of dispenses was increased. The planning unit 223 is requested to make a plan.

  The planning unit 223 of the inspection information management server 13 drafts a new plan candidate in which the number of dispenses is increased or decreased with respect to the original plan, and transmits the new plan candidate to the progress evaluation unit 222. In this example, for example, the emergency sample is divided into 2 aliquots and treated with 1 immunity and 1 biochemistry, and 3 aliquots are treated with 1 immunity and 2 biochemistry. Suppose a candidate is drafted.

  Upon receiving the new plan candidate, the progress evaluation unit 222 evaluates the plan according to the previous procedure, selects a plan that meets the target time and has a small number of pipes, and manages the inspection information management DB 224 and the device management server 12. Save to DB 214. In this example, if two or more pipettes are dispensed and processing can be performed according to the target time, a two-spreading plan with a small amount of consumables used is selected instead of a three-spipe plan with a large amount of consumables used.

  The instruction change detection unit 212 of the device management server 12 monitors the dispensing / conveying plan, the module abnormality, the remaining amount of consumables, and the degree of congestion managed by the device management DB 214. Select sample candidates whose instructions need to be updated. In this example, the emergency sample is selected as a candidate in response to the fact that the system has become crowded.

  Next, the instruction unit 213 creates a processing instruction for the selected sample according to the test item of the sample and the type of module. In this example, a processing instruction for each module is created in accordance with the two-dispensing plan made for the emergency sample.

  Finally, the control unit 201 of each module constituting the module group 11 inquires a processing instruction to the instruction unit 213 of the device management server 12 when a sample that needs to be processed is detected, and controls the actuator according to the received response. Perform the process. For example, in the dispensing module, the emergency sample (parent sample) is dispensed into two child samples.

  By the operation as described above, the automatic analysis system 10 performs the inspection (FIG. 3 (a)) 301 shown in FIG. 3 and the inspection using two dispensings (FIG. 3 (b) depending on the degree of congestion. )) 302 can be processed while switching.

<Function and hardware compatibility>
Next, the correspondence between each component of the automatic analysis system 10 shown in FIG. 2 and the hardware and software realizing the component will be described.

  A control unit 201 of modules constituting the module group 11 reads a program stored in a ROM (Read Only Memory) or an external storage device into a RAM (Read Access Memory) by a CPU (Central Processing Unit) of each module, and performs communication I / F (Interface), realized by controlling hardware such as sensors, controllers, and actuators to perform transport and analysis processing.

  The collection unit 211, instruction change detection unit 212, instruction unit 213, and device management DB 214 of the device management server 12 read the program stored in the ROM or external storage device into the RAM by the CPU of the device management server 12, and communicate I / O Realized by controlling F, mouse, keyboard, display, etc.

  The plan change detection unit 221, progress evaluation unit 222, plan unit 223, and test information management DB 224 of the test information management server 13 are read by the CPU of the test information management server 13 into a RAM or a program stored in an external storage device. This is realized by controlling the communication I / F, mouse, keyboard, display, and the like.

The operation feeling rib 231 of the operation terminal 14 is the CP of the operation terminal 14.
It is realized by U reading a program stored in ROM or an external storage device into RAM and controlling communication I / F, mouse, keyboard, display, etc.

<Transport mechanism>
Next, the transport mechanism of the specimen and each module will be described with reference to FIG. The sample 401 is installed on the holder 402 when being taken out from the loading module or the storage module, or when being dispensed by the dispensing module. The holder 402 has an RFID (Radio Frequency Identification) tag 403 to which data can be written. When the sample is installed, the identification information (sample ID) of the sample described in the installation barcode 404 is stored inside. Record. The erected holder 402 is transported between the modules by the belt line 405. In the module, the sample is temporarily stopped by the stopper 406 and subjected to identification processing by the RFID reader 407. Then, conveyance and processing according to the recognition result are performed.

  In the present embodiment, the means for carrying by the belt line 405 is used, but it may be carried by using a robot arm or an XYZ table mechanism. Further, the holder 402 may be stopped by stopping the operation of the belt line 405 instead of stopping with the stopper 405. Although the holder is identified by the RFID tag 403, the barcode 404 of the specimen may be directly read, or the holder 402 may be identified by attaching a barcode.

<Data structure>
Next, tag data D1000 of the RFID tag 404 of the holder 402 will be described with reference to FIG.

  The tag data D1000 represents which holder is mounted with which sample, and includes a holder ID (D1001) that is identification information of the holder and a sample ID (D1002) that is identification information of the sample. The holder ID is a unique ID given when the RFID tag is manufactured. The sample ID is a unique ID given when the sample is created.

  Next, processing status data D2000 and module status data D3000 transmitted from the control unit 201 to the collection unit 211 will be described with reference to FIG.

  The processing status data D2000 represents the current position of the sample, the progress of processing, and includes a sample ID (D2001), a module ID (D2002), and a processing status D2003. Here, it is assumed that a unique module ID is assigned in advance to each module. For example, when the sample with the sample ID 10001 completes centrifugation by the centrifuge module, data such as {10001, centrifuge, complete} is set.

  The module data D3000 represents the abnormality of the module mechanism, the state of the consumables, and the degree of congestion. The module ID (D3001), the transport mechanism abnormality (D3002), the processing mechanism abnormality (D3003), and the remaining amount of consumables ( D3004) and congestion (D3005). Here, the conveyance mechanism abnormality indicates whether the belt line and the stopper for carrying in / out are operating normally, and the processing mechanism abnormality indicates whether processing such as dispensing and analysis can be performed normally. The remaining amount of consumables indicates how much consumables remain such as the remaining amount of the cup and the remaining number of reagent magazines. The degree of congestion is a value (−1, 0 to 1) calculated from the current number of samples with respect to the allowable number of samples of the module. The degree of congestion is valid for a module having an area where the module waits for 10 or more samples, and is defined as the quotient of the current number of samples with respect to the maximum allowable number of samples. In the case of a module having only an area for waiting for less than 10 specimens, -1 is always set. For example, with respect to the buffer module, 100 samples can be waited, and if 35 samples are waiting, the degree of congestion is 0.35. Further, regarding the dispensing module, when there is no abnormality but the cup is likely to run out, data such as {dispensing, no abnormality, no abnormality, small cup remaining amount, -1} is set.

  Next, processing instruction data D4000 and dispensing instruction data D5000 transmitted from the instruction unit 213 to the control unit 201 will be described with reference to FIG.

  The process instruction data D4000 represents an instruction for each module to process a sample and transport it to the next module, and includes a sample ID (D4001), an item group ID (D4002), and an in-module path ID (D4003). ). Here, the item group ID is an ID obtained by collecting a plurality of inspection items, and the module can determine a process to be performed based on the item group ID. The intra-module path ID is an ID representing a transport path within the module, and the module can determine which path to transport based on the intra-module path ID. For example, if the specimen ID is 10001 and the specimen of the item group ID “Immunion / Biochemistry 1” is centrifuged by the centrifuge module and transported by the path 1 path, {10001, Immune / Biochemistry 1, 1} Such data is set.

  Dispensing instruction data D5000 is a parameter indicating the number of dispenses and the dispensed amount in the dispensing process of the dispensing module, and includes sample ID (D5001), 10 child sample IDs (D5011a to D5020a), and dispensing. Quantity (D5020b to D5020b). Here, when the number of dispensing is less than 10, 0 is set in the child area not to be dispensed. For example, when a parent sample with a sample ID of 10001 is dispensed into a sample ID 10002 (dispensing amount 100) and a sample ID 10003 (dispensing amount 50), {10001, 10002, 100, 10003, 50, 0, 0,.・ Data such as 0, 0} are set. In this embodiment, the number of dispensing is up to 10, but it may be 10 or more.

Next, the sample data table T1100 and the module data table T1200 managed by the apparatus management DB 214 will be described with reference to FIG.
The sample data table T1100 represents the completion status of the sample processing, and includes the sample ID (T1101) that is the identification information of the sample, the completion status (T1102) that indicates the completed processing, and the time when the test of the sample is started. More specifically, it includes a start time (T1103) representing a sample input into the input module or the storage module, that is, a sample input time into the automatic analysis system. For example, if the sample with the sample ID 10001 is planned to be transferred to the storage module 105 and the transfer is completed, data such as {10001, storage, 9:25:22} is set. As another example, the sample ID is 10002, and the biochemical analysis module 125 (immunity 1) is transported to the biochemical analysis module 124 (biochemistry 2) and finally transported to the storage module 105. When the transport is completed up to 124, data such as {10002, immunity 1 → biochemistry 1, 9:26:19} is set. Here, “→” represents the transport order. If the processing plan has not yet been made, the completion status is unknown. For example, if a sample for which a test request has not yet been registered is input, it is unknown.

  The module data table T1200 represents the current state of each module, and includes a module ID (T1201), a transport mechanism abnormality (T1202), a processing mechanism abnormality (T1203), a consumable remaining amount (T1204), and a congestion condition. (T1205). The content of the data is the same as the module data D3000, and only the latest data is held for each module.

  Next, the conveyance plan table T1300 and the dispensing plan table T1400 managed by the apparatus management DB 214 will be described with reference to FIG. In addition, although the conveyance plan table T2600 and the dispensing plan table T2700 managed by the inspection information management DB 224 are separated from each other in consideration of processing performance, the contents are the same and the description thereof is omitted.

  The transport route table T1300 represents the inspection items and main transport destinations of each sample, and includes a sample ID (T1301), an item group ID (T1302), and a transport destination (T1303). Here, the main transport destination means a module that must always stop in the direction of travel. For example, when the sample ID is 10001 and no processing is performed and the sample is transported to the storage module 105, data such as {10001, none, storage [1, front]} is set. Here, [] designates the sorting ID of the tray to be stored and the place to be arranged. In this example, by specifying [1, front], it will be arranged in front of classification 1. In addition, when [1, back] is specified, the items are arranged in order from the back. When [1, automatic] is specified, only the emergency specimen (priority is High) is placed from the front, and the others are placed in the back.

  As another example, the specimen ID is 10002, and after being transferred to the immune analysis module 125 (immunity 1) for processing the items of immunity / biochemistry 2, the biochemical analysis module 122 (biochemistry 1) When the biochemical analysis module 124 (biochemistry 2) is transported to an available one, data such as {10002, immunity / biochemistry 2, immunity 1 → biochemistry 1 | biochemistry 2 [empty]} is set. The Here, “→” represents the order. Further, “|” means that the sheet is conveyed to either one, and the determination condition is specified in []. Here, “empty” means that the left and right modules of “|” are transported to a module with low congestion. On the other hand, when transporting to a module with high congestion, set it to [Including]. In addition, [1: 2] is designated if the paper is to be sorted and transported at a ratio of 1: 2.

  The dispensing plan table T1400 represents the number of dispenses and the dispensed amount of each parent sample, and the parent sample ID (T1401), the child sample ID (T1411a to T1420a), and the dispensed amount (T1411b to T1420b). Consists of. This table is a table for managing a plurality of data of the dispensing plan data D5000. According to the dispensing plan data D5000, the number of dispensings is set to 10 in this table, but it may be more than that.

  Next, the transport path table T1500 managed by the apparatus management DB 214 will be described with reference to FIG. The transport route table T2300 managed by the inspection information management DB 224 is divided in consideration of processing performance, but the contents are the same as those of the transport route table T1500, and the description thereof is omitted.

  The transfer path table T1500 indicates which module is to be next moved from the current module to the target module, and includes the target module (T1501) and the target module direction (T1502). It consists of the current module (T1503), the current module orientation (T1503), the next module (T1505), and the current module orientation (T1506). For example, in order to express a route for storing the sample on the outgoing line of the dispensing module 104 in the storage module 105, “dispensing (going) → dispensing (returning)”, “dispensing (returning) → open” Plug (Return), Opening (Return) → Centrifuge (Return), Centrifuge (Return) → Inserting (Return), “Introducing (Returning) → Storing (Returning)”, “Storing (Returning) → Storing Six data “going” ”are registered.

  Next, the processing instruction table T1600 managed by the device management DB 214 will be described with reference to FIG.

  The processing instruction table T1600 represents processing instructions for sample processing and transport related to each module, and includes a sample ID (T1601), a module ID (T1602), an item group ID (T1603), and an intra-module path ID (T1604). Consists of. Here, the in-module path ID is the number of the transport path used in the target module (first: 1, second: 2, third: 3) × 10 and the number of the transport path used in the next module. To do. For example, if the sample ID is 10001 and the sample of the item group ID of immunology / biochemistry 1 is centrifuged by the centrifuge module 102, the first one is used in the centrifuge module and the first one is used in the next opening module. Data such as 10001, centrifugation, immunity / biochemistry 1, 11} are set. Each module can control a stopper that controls the timing and path of transport of the sample by receiving this intra-module path ID.

  Next, the inspection request table T2100 managed by the inspection information management server 224 will be described with reference to FIG.

  The examination request table T2100 represents specimen examination items and priorities, and includes specimen IDs (T2101), item group IDs (T2102), and priorities (T2103). For example, if the item group ID of the specimen ID is immune / biochemistry 1 and the priority is normal (Mid), data such as {10001, immune / biochemistry 1, Mid} is registered.

  Next, the plan candidate file T2200 managed by the examination information management server 224 will be described with reference to FIG.

  The plan candidate file T2200 represents a dispensing and transportation plan candidate composed of the quantity of dispensing for each item group ID, the item group ID after being divided into parent and child samples, and the transportation destination, As shown in FIG. 13, the file is in an XML (Extensible Markup Language) format. One candidate tag represents one plan candidate, and includes an item tag, an effective condition tag, and a dispensing tag (one each).

  The item tag represents an item group ID to be inspected as a whole when the plan is executed. The valid condition tag describes a condition as to whether or not the candidate is used at the time of planning, and designates the day of the week, the time, and the priority of the specimen as necessary. Use candidates when planning when all conditions are true.

  The dispensing tag describes the quantity and destination of dispensing, and is divided into a parent tag and a child tag. The parent tag describes the processing group ID of the parent sample and the main transport destination. Create as many child tags as you need. The child tag is assigned with the child No. (Number) as an attribute, and the processing group ID, the dispensing amount, and the main transport destination of the child sample are described.

  For example, candidate No. 1 shown in FIG. 13 is a plan for examining immune / biochemistry 1, and is effective for samples of all priorities on all days, all days. In this plan, the parent sample is dispensed into one child sample, which is transported and processed in turn to the immune analysis module and biochemistry analysis module. On the other hand, candidate No. 2 is a plan for examining immune / biochemistry 1 as in No. 1, but it is effective only for emergency samples from 9:00 to 17:00 on weekdays (Monday to Friday). In this plan, the parent sample is dispensed into two child samples, which are transported and processed to the immune analysis module and biochemistry analysis module, respectively. Therefore, (Pattern A) 301 shown in FIG. 3 is adopted for a normal specimen, and (Pattern A) 301 or (Pattern B) 302 shown in FIG. 3 is adopted for an emergency specimen. become.

  Next, the target time table 2400 and the target correction table 2500 managed by the inspection information management server 224 will be described with reference to FIG.

  The target time table 2400 represents the target time for completion of the test with respect to the test item and priority of the sample, and includes an item group ID (T2401), a priority (T2402), and a target time (T2403). For example, when testing specimens with an item group ID of immunology / biochemistry 1, if there are three priority levels (emergency, normal, normal), test within 25 minutes, 40 minutes, and 60 minutes in descending order. Is set as {immune / biochemistry 1, High, 25}, {immune / biochemistry 1, Mid, 40}, {immune / biochemistry 1, Low, 60}.

  The target correction table T2500 is used to correct the target time registered in the target time table T2400 at the time of congestion, and includes a congestion degree (T2501) and a correction rate (T2502). When the target is stricter according to the degree of congestion, data such as {Low, 1}, {Mid, 0.9}, {High, 0.8} is described.

  Next, a processing time table T2800 managed by the inspection information management server 224 will be described with reference to FIG.

  The processing time table T2800 represents an average value of the time required for each module to process a sample. The module ID (T2801), the item group ID (T2802), the priority (T2803), and the congestion degree ( T2804) and average processing time (T2805). For example, with respect to the buffer module 113 (buffer 1), the specimen group ID is immune / biochemistry 1 and the normal specimen (Mid) and urgent specimen (High) in each congestion level (Low, Mid, High) The processing time is as shown in FIG.

<Processing flow>
Next, with reference to FIG. 16, an overall flow of processing in which the automatic analysis system 10 creates and executes a dispensing and transport plan according to the priority of the specimen and the degree of congestion of the module will be described.

  Each module in this embodiment transmits processing completion report data D2000 and module data D3000 to the apparatus management server 12 as needed, and the apparatus management server 12 updates the sample data table T1100 and the module data table T1200 to the latest. Suppose you are updating to data. In addition, each module performs processing based on the processing instruction data D4000 and the dispensing plan data D5000 obtained from the apparatus management server 12 for the sample that has been loaded, and then carries it out. Further, the inspection request table T2100 is updated to the latest data as needed from an electronic medical chart system or the like.

  Each module of the module group 11, the inspection information management server 12, and the inspection information management server 13 perform the processing described below in parallel. As long as the automatic analysis system 10 is in operation, each of the processes described below is repeatedly performed in parallel.

  First, the process of the inspection information management server 13 will be described.

  The planning change detection unit 221 monitors the examination request table T2100 managed by the examination information management DB 224, the specimen data table T1100 managed by the apparatus management DB 224, and the module data table T1200, and has never been planned. Then, a sample related to a module that has become abnormal or consumable, or a sample that is scheduled to be processed by a module whose degree of congestion has changed is selected as a candidate for planning (step S201).

  Next, the progress evaluation unit 222 proceeds to step S203 if there is a sample for which it is not determined whether a plan is necessary, and ends the process if not (step S202).

  When there is a sample for which it is not determined whether the plan is necessary, the progress evaluation unit 222 calculates the selected sample using the current plan and the congestion degree of the modules on the transport route (predicted completion time). The progress degree is calculated in accordance with Equation 1 using the corrected target time (corrected target time) that has been corrected for the target time registered in advance (step S203). Note that it is not calculated for samples that have never been planned.

次に、進捗評価部２２２は、選出された検体の（進捗具合）が（１）正かつ５分以上である（十分間に合う）、もしくは（２）負である（間に合わない）場合は計画が必要であるとしてステップS２０５に処理を進め、そうでない場合はステップS２０２に戻る（ステップ２０４）。なお、本実施形態では（１）について正かつ５分以上を計画するようにしたが、モジュールの性能に応じて５分より短くても長くてもかまわない。同様に（２）について、−５分以上でなければ計画しないものとしてもよい。

Next, the progress evaluation unit 222 needs a plan if the (progress status) of the selected sample is (1) positive and 5 minutes or more (sufficiently in time) or (2) negative (not in time). If not, the process proceeds to step S205. If not, the process returns to step S202 (step 204). In the present embodiment, (1) is planned to be positive and 5 minutes or longer, but it may be shorter or longer than 5 minutes depending on the performance of the module. Similarly, (2) may not be planned unless it is −5 minutes or longer.

  Next, the planning unit 223 acquires the item group ID of the selected sample from the examination request table 2100 using the sample ID as a key. In the case of a child sample, the parent sample ID is acquired from the plan table T2500 in advance, and the item group ID is acquired by the above procedure. Then, among the candidates of the plan candidate file T2200, plan candidates having matching item group IDs and having valid conditions are acquired and returned to the progress evaluation unit 222 (step S205).

  Then, the progress evaluation unit 222 calculates the degree of progress for all the planned plans that have been planned in the same procedure as in step S203. Then, a plan with the smallest number of dispenses is selected from the plan candidates whose progress is positive. If there are multiple plans for the minimum number of dispenses, select the one with the greater progress. If there is no corresponding plan, the largest plan is selected from among plans with zero progress or negative progress. The contents of the last selected plan are stored in the transport plan table (T1300, T2600) for transport, and in the dispense plan table (T1400, T2700) for dispense (step S206). When saving the data, the device management server 12 is prevented from changing the record being referred to.

  Next, processing of the device management server 12 will be described.

  The instruction change detection unit 212 monitors the sample data table T1100, the module data table T1200, the transport plan table T1300, and the dispensing plan table 1400 managed by the apparatus management DB 224, and the sample whose plan has been changed, abnormality or consumption. Specimens related to modules that are out of stock and crowded are selected as candidates for instruction generation (step S211).

  Next, the instruction unit 213 confirms whether or not instructions for all the selected candidates have been generated. If instructions have been generated for all candidates, the process ends. If there are remaining candidates, the process proceeds to step S213. The process proceeds (step S212).

  When candidates remain, the instruction unit 213 first refers to the transfer route table T1500 and extracts a module through which the transfer is made to the main transfer destination specified in the plan. Then, a transport path inside the extracted module is selected (step S213). Here, in the configuration of the present embodiment, there are a module having three conveyance paths and a module having two conveyance paths. In the case of a module having three transport paths (bound x2, return x1), there are two systems for the direction of travel, and selection is required. In the present embodiment, the conveyance path that can be processed is limited to the first one. Therefore, referring to the item group ID of the sample, if the sample needs to be processed, the first transfer route is selected, and if the process is not required, the transfer route is selected so as to pass through the second transfer route. To do. In the case of a module having two conveyance paths (bound x1, return x1), the internal conveyance path is determined by the next module to be carried out, so there is no need for selection.

  Then, the instruction unit 213 adds a new record holding the sample ID, the module ID, the item group ID, and the in-module route ID corresponding to the selected transport path to the processing instruction table T1600 (Step S214). . When this process ends, the process returns to step S212.

  In the above processing, if there is a transport destination that cannot be transported due to a module abnormality or out of consumables, the transport destination is skipped, a route for transporting to a possible transport destination is calculated, and an instruction is generated. If it cannot be transported to all the transport destinations, an instruction directed to the transport destination at the time of abnormality such as the collection module 105 is generated.

  Next, processing of each module constituting the module group 11 will be described.

  The control unit 201 of each module temporarily stops the sample loaded using the stopper and the RFID reader installed immediately before processing or just before branching, and acquires the sample ID (step S221).

  Next, the control unit 201 of each module inquires the apparatus management server 12 for an instruction regarding the acquired sample ID, and acquires processing instruction data D4000. In the case of the dispensing module, the dispensing plan data D5000 is also acquired (step S222).

  Then, the control unit 201 of each module controls the controller and actuator based on the acquired instruction, processes the sample, and carries it out to the module that is the next transport destination (step S223).

  Next, the selection process (step S201) of a sample that is a candidate for planning will be described in detail with reference to FIG.

  First, the planning change detection unit 221 refers to the inspection request table T2100 and confirms whether a new request has been added. As a result, if added, the process proceeds to step S302, and if not added, the process proceeds to step 303 (step S301).

  If it has been added, the plan change detecting unit 221 adds the sample corresponding to the new request to the plan candidate (step S302).

  Next, the planning change detection unit 221 refers to the sample data table T1100 and confirms whether there is a sample newly loaded from the input module 101. As a result, if there is a newly loaded sample, the process proceeds to step S304, and if not, the process proceeds to step S305 (step S303).

  If there is a newly loaded sample, the plan change detecting unit 221 adds the newly loaded sample to the plan candidate (step S304).

  Next, the planning change detection unit 221 refers to the module data table T1200 and checks whether the transport mechanism abnormality T1202 and the processing mechanism abnormality T1203 have changed from the previous state. In the first case, it is assumed that all abnormal items have changed. As a result, if it is determined that there is a change, it is confirmed whether or not all the samples being processed are likely to be transferred to the module, and if there is a possibility of being transferred, the process proceeds to step S306. If there is no possibility of conveyance, the process proceeds to step S307 (step S305). In the above, for the main transport destinations described in the plan of each specimen, modules passing between the main transport destinations are acquired using the transport route table T2300, and it is checked one by one whether they are abnormal modules. There is a need. If this processing load becomes a problem in the calculation performance of the inspection information management server 13, it can be reduced by creating an inverted index table at the time of planning. That is, a table holding the sample ID of the sample passing through the module may be created using the module ID of each module as an index.

  If there is a possibility of transport, the plan change detecting unit 221 adds a sample that may use a module having an abnormality to a plan candidate (step S306).

  Next, the planning change detection unit 221 refers to the module data table T1200 and checks whether the remaining amount of consumables is less than 50. As a result, if it is less than 50, it is confirmed whether or not there is a possibility of transferring all the samples being processed to the module, and if there is a possibility of transferring, the process proceeds to step S308 and is transferred. If there is no possibility, the process proceeds to step S309 (step S307).

If there is a possibility of transport, the plan change detecting unit 221 adds a sample that may use a consumable out-of-consumable module (out-of-consumer) to a plan candidate (step S308).
Next, the planning change detection unit 221 compares the previous congestion level with the current congestion level, setting 0.7 as a threshold value, and assuming that there is a change when the threshold level is exceeded or below, all samples being processed If there is a possibility of being transferred to the module, the process proceeds to step S310, and if not, the process ends (step S309). In this embodiment, the threshold value is 0.7, but it may be larger or smaller than that. Further, although the threshold value is fixed regardless of the module, an individual threshold value may be set for each module. Furthermore, a threshold value may be provided for the difference value between the previous value and the current value.

  If there is a possibility of transport, the plan change detecting unit 221 adds a sample that may use a module whose degree of congestion has changed to a plan candidate, and ends the process (step S310).

  Next, the progress calculation process (step S203) will be described in detail with reference to FIG.

  First, the progress evaluation unit 222 calculates (corrected target time) based on Equation 2 (step S401). Here, (target time) in Expression 2 is the target time T2403 registered in the target time table T2400. In addition, (average correction rate) in Equation 2 is a value calculated based on Equation 3, and among the modules through which the sample may pass, the congestion level T1205 of the module data table T1200 is This is a value obtained by dividing the sum of correction factors of modules having values from 0 to 1 by the number of modules.

  Here, in the case where there is redundancy, for example, it is only necessary to go to either of the biochemical analysis modules 122 and 124, first, an average of correction factors is obtained for all combinations of paths that can be passed. Further, the average value is defined as (average correction rate). In this embodiment, an average value is used, but a maximum value, a minimum value, a median value, or the like may be used.

次に予測完了時刻を式４に基づいて算出する（ステップS４０２）。ここで式４の（開始時刻）は、該当する検体に関する検体データテーブルT１１００の開始時刻T１１０３を参照することで得られる。またΣ（平均処理時間）は、現在位置から経由するモジュールの（平均処理時間）の総和である。各モジュールの（平均処理時間）は、処理時間テーブルT２８００において、該当するモジュールID、項目グループID、優先度、混雑度の平均処理時間T２８０５を参照することで得られる。

Next, the prediction completion time is calculated based on Equation 4 (step S402). Here, the (start time) of Expression 4 is obtained by referring to the start time T1103 of the sample data table T1100 related to the corresponding sample. Further, Σ (average processing time) is the sum of (average processing time) of modules passing from the current position. The (average processing time) of each module is obtained by referring to the average processing time T2805 of the corresponding module ID, item group ID, priority, and congestion degree in the processing time table T2800.

  When analysis is performed after the sample to be evaluated is a parent sample and dispensed into a child sample, the (estimated completion time) of the child sample is the same as the (estimated completion time) until the parent sample has been dispensed. The sum (predicted completion time) from the dispensing of the specimen to the end of the analysis is taken as the final (predicted completion time) of the parent and child (plural) specimens that take the most time.

最後に、式１に従って、（補正済み目標時間）と（予測完了時間）の差を（進捗具合）とする。

Finally, according to Equation 1, the difference between (corrected target time) and (prediction completion time) is defined as (progress status).

For example, the dispensed emergency sample for direct biochemical analysis is in the present dispensing module 104, and biochemical analysis is performed via the transfer line module 111a, the direction change module 112b, the transfer line module 111e, and the buffer module 113. A specific example will be described in the case of being transported to the module 121. Here, it is assumed that the target time of this emergency sample is 20 minutes. Further, the congestion level is considered for the buffer module 113 and the biochemical analysis module 121, and the congestion level is set to Mid and High in order. Further, the correction rate for the degree of congestion is 1 for Low, 0.9 for Mid, and 0.8 for High. Also, the average processing time corresponding to the current item group ID, priority, and congestion registered in the processing time table T2800 is 5 seconds for the transport line module 111a, 10 seconds for the direction changing module 112b, and 10 seconds for the transport line module 111e. Assume that the time is 5 seconds, the buffer module 113 is 40 seconds, and the biochemical analysis module 121 is 600 seconds. At this time, (average correction rate) is 1/2 × (0.9 + 0.8) = 0.85, and (corrected target time) is (20 × 0.85) = 17 minutes. On the other hand, the (prediction completion time) is (10: 00-9: 55) minutes + (5 + 10 + 5 + 40 + 600) seconds = 16 minutes, assuming that (current time) is 10:00 and the start time is 9:55. Therefore, (progress status) is calculated as (17-16) = 1 minute. In this case, the progress evaluation unit 222 does not change the plan, assuming that the processing is proceeding according to the target time.
Next, the selection process (step S211) of a sample that is a candidate for instruction generation will be described in detail with reference to FIG.

  First, the instruction change detection unit 212 refers to the conveyance plan table T1300 and the dispensing plan table 1400, and confirms whether a new plan is registered or the plan is updated. As a result, if registered or updated, the process proceeds to step S502; otherwise, the process proceeds to step S503 (step S501).

  If registered or updated, the instruction change detecting unit 212 adds the sample related to the registered or updated plan to the instruction generation candidate (step S502).

  Next, the instruction change detection unit 212 checks whether there is an abnormality in the module in the same procedure as step S305 in FIG. 17 described above, and if there is a possibility of using the sample for the module having the abnormality, step. If not, the process proceeds to step S504 (step S503).

  If there is a possibility that the sample is used for the module in which there is an abnormality, the instruction change detection unit 212 adds a sample that may use the module in which the abnormality has occurred to a candidate for the plan (step S504).

  Next, the instruction change detection unit 212 refers to the module data table T1200 in the same procedure as step S307 in FIG. 17 described above, and confirms whether the remaining amount of consumables is less than 50. As a result, if it is less than 50, it is confirmed whether or not there is a possibility of transferring all the samples being processed to the module, and if there is a possibility of transferring, the process proceeds to step S506 and is transferred. If there is no possibility, the process proceeds to step S507 (step S505).

If there is a possibility of transportation, the instruction change detection unit 212 adds a sample that may use a consumable out-of-consumable module (out of the consumables) to the plan candidate (step S506).
Next, the instruction change detection unit 212 confirms the change in the previous congestion state and the current congestion state in the same procedure as in step S309 in FIG. 17 described above, and may transfer it to the module that is determined to have changed. If there is, the process proceeds to step S508, and if not, the process ends (step S507).

  If there is a possibility of transport, the instruction change detection unit 212 adds a sample that may use a module whose degree of congestion has changed to a plan candidate, and ends the process (step S508).

  Next, with reference to FIG. 20, a method for displaying the results of processing performed by an inspection engineer or the like will be described.

  The operation management unit 231 of the operation terminal 14 displays a performance display GUI (Graphical User Interface) 5000 on the display with reference to the transfer plan table 2600, the dispensing plan table T2700, the sample data table T1100, and the module data table T1200.

  The result display GUI 5000 includes a sample list 5010, a dispensing / conveyance status panel 5020, and an alarm panel 5030. The sample list 5010 displays a list of sample IDs, items, parent-child relationships, processing completion statuses, and whether or not the transport destination has been changed with respect to the plan, periodically updated.

  When an operator such as a laboratory engineer clicks on a sample row for which information is to be obtained from the sample list 5010, the operation management unit 231 displays a plan for the selected sample on the dispensing / conveyance status panel 5020. Is displayed on the plan panel 5021, the actual result of the actually transported sample is displayed on the actual result panel 5022, and the reason why the actual result differs from the plan is displayed on the 5023.

  For example, in the example shown in FIG. 20, the plan that originally created and analyzed one child sample from the parent sample (parent) was changed to a plan to create and analyze two child samples according to the congestion of the system. Is displayed on the planning panel 5021. Further, in response to the fact that the buffer module 113 (buffer 1) is actually stopped, the child 2 is displayed on the result panel 5022 that has been suddenly conveyed to the storage module. Further, the progress is displayed on the information panel 5023 as “Review the plan according to the degree of congestion of the system.” “Skip the immunity 1 because the buffer 1 is stopped.” By checking this information, the laboratory technician can know why the sample has been changed in the plan and why it has not progressed as planned, and can quickly determine the cause (out of reagent or abnormal module). Can be dealt with.

  In parallel with the above, the operation management unit 231 notifies the alarm panel 5030 of the current module status and the necessity of exchanging consumables as necessary. The notification regarding the replacement of the consumables is performed when the remaining amount of the consumables decreases and when the usage status of the analysis module is biased due to the occurrence of an abnormality in the module as shown in FIG.

  Note that a plan in which the number of dispenses has been changed in the above processing procedure is drawn up and executed. However, the inspection engineer determines the optimum number of dispenses and the transport destination according to the plan, and the new plan is obtained via the operation terminal 14. May be registered directly in the transfer plan table T1300 and the dispensing plan table 1400 of the apparatus management server 12. In that case, the writing to the corresponding record of the examination information management server 13 is restricted.

Further, in the present embodiment, the above processing is performed according to the priority in the examination request table T2100. However, for example, when the input module 101 has a tray or an entrance for emergency specimens, the specimen carried from there is examined. Even if the priority is not High on the request table T2100, it may be processed as High, that is, an emergency sample.
<Examples of effects according to this embodiment>
Next, with reference to FIG. 21, processing time and consumables (children) when the number of dispenses is fixed as in the conventional case and the number of dispenses can be changed as in the present embodiment for the examination of an emergency sample. The difference in the amount of sample cup or tip) will be briefly explained.
In the conventional method, a predetermined number of dispensing is set. For example, when one portion is always dispensed, the amount of consumables used is reduced as shown in the lower part of FIG. 21, but the target time may be exceeded in a time zone where the system is busy as shown in the upper part of FIG. On the other hand, if the dispensing is always performed in two, the target time is maintained as shown in the upper part of FIG. 21, but many consumables are used as shown in the lower part of FIG. On the other hand, in this embodiment, the number of dispenses is increased only during a busy time period. Therefore, while maintaining the target time as shown in the upper part of FIG. 21, it is possible to reduce the consumption amount of the consumable as compared with the case where the amount of consumables is always dispensed in two as shown in the lower part of FIG.

  As described above, according to the present embodiment, a sample having no time margin can be quickly examined by increasing the number of pipetting. In addition, a sample with sufficient progress can reduce the number of dispenses and suppress consumables such as cups and chips. In addition to the above effects, there are the following effects.

  Since candidates for dispensing and transport plans can be specified according to the priority, it is possible to process only the urgent sample by changing the number of dispensing as described above.

  In addition, since a candidate for a dispensing or transport plan can be specified according to the day of the week or the time, a plan according to the operation of the examination room (operating time of the apparatus) can be set.

  In addition, additional items such as storing emergency specimens in front of the tray can be set in the plan, so that emergency specimens can be put directly into the analysis module for speeding up, or they can be put into analysis modules that are not connected to a transport line. It can respond flexibly to doing.

  In addition, since it is possible to register directly through the operation terminal according to the judgment of the laboratory technician, it is possible to flexibly cope with a case where a specific sample is processed on an express train.

  In addition to changing dispensing and transport plans, the progress of the sample, the degree of congestion of the system and its impact, and notifications prompting the replacement of consumables are presented to the laboratory technician via the operation terminal. By doing so, the efficiency of the work of the whole inspection can be improved.

  In addition, when a test request, sample input, module abnormality, module consumables, and module congestion change, only the relevant sample is executed, so the processing load on the test information management server 13 is reduced. Can be made.

  Further, when there is a change in a plan, a module abnormality, a module consumable, or a module congestion state, an instruction is generated only for the relevant sample, so the processing load on the apparatus management server 12 can be reduced. .

DESCRIPTION OF SYMBOLS 10 ... Automatic analysis system 11 ... Module group 12 ... Device management server 13 ... Inspection information management server 14 ... Operation terminal 17 ... Device information network 18 ... Inspection information network 19 ..Hospital network 101 ... Input module 102 ... Centrifuge module 103 ... Opening module 104 ... Dispensing module 105 ... Storage module 111 ... Conveying line module 112 ... Direction changing module 113, 114, 115, 116 ... Buffer module 121, 123 ... Coagulation analysis module 122, 124 ... Biochemical analysis module 125, 126 ... Immune analysis module

Claims (11)

A plurality of analysis modules each performing analysis of an analysis target;
A transport module that performs transport of an analysis target to the plurality of analysis modules;
A split module that creates one or more analysis objects using the parent analysis object input to the system;
A management unit that manages the type of analysis processing required for the parent analysis target and the priority required for the parent analysis target;
The management unit is executed for the number of analysis targets and each analysis target so that the number of analysis targets created from the parent analysis target is reduced based on the type of analysis processing and the priority. A processing plan including the type of analysis processing is determined, and the division module is controlled to create one or a plurality of analysis targets from the parent analysis target according to the number of analysis targets, and the processing plan is set for each analysis target. An analysis system that controls the transport module and the plurality of analysis modules so that the analysis processing according to the control is executed. The analysis system according to claim 1,
The analysis system further comprises display means for displaying the contents of the processing plan determined by the management unit. The analysis system according to claim 1,
The management unit collects information on the degree of congestion of the analysis target to be analyzed by the analysis module from each of the plurality of analysis modules, and the management unit determines based on the information on the degree of congestion and the priority An analysis system characterized by changing the processing plan. The analysis system according to claim 1,
The management unit collects information on the degree of congestion of the analysis target to be analyzed by the analysis module from each of the plurality of analysis modules, and sets the priority based on the priority and the information on the degree of congestion. Create a plurality of processing plans scheduled to complete all the analysis processes required for the parent analysis target within a predetermined time determined accordingly,
The management system selects a processing plan having the smallest number of processing targets created from the parent processing target from among the plurality of processing plans. The analysis system according to claim 1,
Furthermore, it has a storage module for storing the one or more processing objects,
The analysis system, wherein the management unit determines in which position in the storage module the processing target is stored based on the priority. The analysis system according to claim 3,
The management unit creates a processing plan so that all analysis processes required for the parent analysis target are completed within a target time registered in advance.
An analysis system that changes the process plan when it is determined that all the analysis processes cannot be completed within the target time based on the information on the degree of congestion. The analysis system according to claim 6, wherein
The information on the degree of congestion includes information on the degree of congestion of the transport module collected by the management unit. The analysis system according to claim 3,
The management system further monitors the states of the plurality of analysis modules, and changes the processing plan when an abnormality occurs in any one of the analysis modules. The analysis system according to claim 3,
The management unit further collects information on the number of consumables used in the plurality of analysis modules from the plurality of analysis modules, and changes the processing plan according to the number of consumables. Analysis system. The analysis system according to claim 1,
Furthermore, an input terminal for inputting a processing plan is provided,
When the management unit receives the processing plan from the input terminal, the management unit controls the division module, the transport module, and the plurality of analysis modules according to the processing plan. The analysis system according to claim 9, wherein
Furthermore, it has a display means,
An analysis system characterized in that, when it is predicted that the frequency of use of consumables will increase due to a change in the processing plan, the display means performs a notification prompting replacement or addition of consumables.

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