CN112345744B - Pipeline system and test method thereof - Google Patents

Pipeline system and test method thereof Download PDF

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CN112345744B
CN112345744B CN201910722319.8A CN201910722319A CN112345744B CN 112345744 B CN112345744 B CN 112345744B CN 201910722319 A CN201910722319 A CN 201910722319A CN 112345744 B CN112345744 B CN 112345744B
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CN112345744A (en
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王鑫润
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Shenzhen Mindray Bio Medical Electronics Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483Physical analysis of biological material
    • G01N33/487Physical analysis of biological material of liquid biological material
    • G01N33/49Blood
    • G01N33/4905Determining clotting time of blood
    • 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
    • G01N35/10Devices for transferring samples or any liquids to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
    • G01N35/1009Characterised by arrangements for controlling the aspiration or dispense of liquids

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Abstract

A pipeline system and a testing method of the pipeline system can keep an analysis module online in the whole process of quality control and testing, and users do not need to participate and operate excessively after quality control samples and patient samples are put in the pipeline system; in the whole test process, quality control test and pretreatment of patient samples are performed in parallel, and after any one analysis instrument is controlled, project test of the patient samples can be started, so that any one control instrument does not need to wait for other analysis instruments, the time that the control instrument can perform the test of the patient samples is fully utilized, and the test efficiency is improved.

Description

Pipeline system and test method thereof
Technical Field
The present invention relates to a pipeline system and a test method of the pipeline system.
Background
With the need for large amounts of sample testing, pipeline systems have emerged that pipeline samples to meet high throughput and reduced time. The traditional measurement of the sample takes a very long time in the pretreatment of the sample, the time spent in the step can be greatly shortened after the sample is introduced into the assembly line, the assembly line firstly receives the sample put in by a user, then carries out pretreatment on the sample in a concentrated mode, such as automatic code scanning, sample sorting, centrifugation, cover removing and the like, the pretreated sample is distributed to a corresponding analyzer according to the test item of the sample, after the sample is measured by the analyzer, some assembly lines carry out post-treatment on the sample, such as re-filming or cover covering on the sample, and then the sample is dispatched to a cold storage module on the assembly line for storage so as to backup the sample, so that when a problem or objection occurs in the measurement result, the sample can be dispatched from the cold storage module on the assembly line again for retesting.
Whether in a pipelined system or a conventional stand-alone test instrument, they require a quality test of the patient's test items prior to performing a patient sample test in order to view the status of the corresponding items of the instrument. For the pipeline system, since a plurality of analysis instruments are cascaded, quality control test needs to be performed on each analysis instrument, and for any analysis instrument, if the quality control test result is abnormal, namely out of control, the current state of the instrument cannot guarantee the accuracy of the test result obtained after the patient sample is subjected to the out-of-control item, and in this time, the out-of-control item of the instrument needs to be subjected to out-of-control treatment, for example, the out-of-control item needs to be retested to confirm whether out-of-control is performed, for example, the quality control item is replaced, for example, the reagent is replaced, and the patient sample cannot be tested until the out-of-control item is again controlled, because the instrument can guarantee the accuracy of the item test result of the patient sample.
In order to ensure the accuracy of test results, a current common test strategy is a strategy of quality control test and serial test of patient samples, namely, quality control test is carried out on all analysis instruments of a pipeline system respectively, and after all the analysis instruments are in control, the analysis instruments are started to carry out project test on the patient samples. There are two ways to implement the quality control test and serial strategy of patient sample test, which are described in detail below.
In the first mode, all analysis instruments on the assembly line are online, a user inputs quality control samples in a general input area of the assembly line, the assembly line system distributes the quality control samples to corresponding analysis instruments, and the analysis instruments start to perform quality control tests; when the analysis instruments are all in control, the user uniformly places the patient samples in the total input area of the pipeline, and the pipeline system can pre-process the patient samples from the total input area and then redistribute the patient samples to the corresponding analysis instruments for project testing of the patient samples.
In the second mode, a user firstly manually takes off the analysis instruments on the assembly line, then puts quality control samples into the sample loading areas of the analysis instruments and starts testing, on the other hand, the user also puts patient samples into the total input area of the assembly line and starts preprocessing the patient samples, and after the patient samples are processed, the patient samples are scheduled to a preset area for waiting; in the process, a user checks the quality control test result of each analysis instrument in real time, and when the analysis instruments are checked to be controlled, the analysis instruments are switched to be online, the test is started, and then the pipeline system dispatches the waiting patient sample and the subsequent patient sample to the corresponding analysis instruments for testing.
Both of the above approaches to quality control of the pipeline system have significant drawbacks.
Disclosure of Invention
In order to solve the above problems, the present application provides a pipeline system and a test method of the pipeline system.
According to a first aspect, there is provided in one embodiment a pipeline system comprising:
an input module for receiving a sample at an input area thereof and identifying a sample type; wherein the samples comprise a quality control sample for quality control and a patient sample to be tested;
the pretreatment module is used for carrying out pretreatment on the sample; wherein the pretreatment module comprises one or more of a centrifugation module, a serum detection module, a cap removal module and a dispensing module; the centrifugal module is used for centrifuging the sample to be centrifuged; the serum detection module is used for detecting whether the serum quantity of the sample is enough and/or detecting whether the serum quality of the sample is qualified; the cap removing module is used for removing caps of the centrifuged samples; the parting injection molding block is used for parting the sample;
one or more analysis modules for testing the sample;
the post-processing module is used for carrying out post-processing on the sample;
the device comprises a track connected with each module, a scheduling device for scheduling samples among the modules through the track, and a controller; wherein:
When the input module identifies that the sample type is a quality control sample, the scheduling device schedules the quality control sample to a corresponding analysis module for quality control test, the controller marks the state of the analysis module as a control state when judging that the test result of each quality control item in the quality control item set of the analysis module is in control, and marks the state of the analysis module as a shielding state when judging that the quality control item in the quality control item set of the analysis module is out of control or the quality control item result is not out of control;
when the input module identifies that the sample type is a patient sample, the preprocessing module preprocesses the patient sample, and for the preprocessed patient sample, the controller determines the state of an analysis module which needs to test the patient sample, if the input module is in a control state, the dispatching device dispatches the patient sample to the analysis module for testing, and if the input module is in a shielding state, the controller controls the dispatching device not to dispatch the patient sample to the analysis module for testing.
According to a second aspect, there is provided in one embodiment a pipeline system comprising:
an input module for receiving a patient sample to be tested at an input area thereof;
The pretreatment module is used for carrying out pretreatment on the sample; wherein the pretreatment module comprises one or more of a centrifugation module, a serum detection module, a cap removal module and a dispensing module; the centrifugal module is used for centrifuging the sample to be centrifuged; the serum detection module is used for detecting whether the serum quantity of the sample is enough and/or detecting whether the serum quality of the sample is qualified; the cap removing module is used for removing caps of the centrifuged samples; the parting injection molding block is used for parting the sample;
one or more analysis modules for testing the sample;
the post-processing module is used for carrying out post-processing on the sample;
the device comprises a track connected with each module, a scheduling device for scheduling samples among the modules through the track, and a controller; wherein:
the dispatching device dispatches the patient sample from the input module to the preprocessing module, and the preprocessing module preprocesses the dispatched patient sample; the controller marks the state of the analysis module as an in-control state when judging that the test results of all quality control items in the quality control item set of the analysis module are in control, and marks the state of the analysis module as a shielding state when judging that the quality control items in the quality control item set of the analysis module are out of control or the quality control item results are not out of control;
For the patient sample which is processed previously, the controller determines the state of an analysis module which needs to test the patient sample, if the state is in a control state, the dispatching device dispatches the patient sample to the analysis module for testing, and if the state is in a shielding state, the controller controls the dispatching device not to dispatch the patient sample to the analysis module for testing.
According to a third aspect, an embodiment provides a pipeline system comprising:
an input module for receiving a sample at an input area thereof and identifying a sample type; wherein the samples comprise a quality control sample for quality control and a patient sample to be tested;
the pretreatment module is used for carrying out pretreatment on the sample; wherein the pretreatment module comprises one or more of a centrifugation module, a serum detection module, a cap removal module and a dispensing module; the centrifugal module is used for centrifuging the sample to be centrifuged; the serum detection module is used for detecting whether the serum quantity of the sample is enough and/or detecting whether the serum quality of the sample is qualified; the cap removing module is used for removing caps of the centrifuged samples; the parting injection molding block is used for parting the sample;
One or more analysis modules for testing the sample;
the device comprises a track connected with each module, a scheduling device for scheduling samples among the modules through the track, and a controller; wherein:
when the input module identifies that the sample type is a quality control sample, the scheduling device schedules the quality control sample to a corresponding analysis module for quality control test, and the controller judges the state of the analysis module according to the test result of the quality control project and performs calibration;
when the input module identifies that the sample type is a patient sample, the preprocessing module preprocesses the patient sample, and the controller determines the state of an analysis module which needs to test the patient sample for the preprocessed patient sample, and controls the dispatching device to dispatch the patient sample according to the state of the analysis module.
According to a fourth aspect, there is provided in one embodiment a pipeline system comprising:
an input module for receiving a patient sample to be tested at an input area thereof;
the pretreatment module is used for carrying out pretreatment on the sample; wherein the pretreatment module comprises one or more of a centrifugation module, a serum detection module, a cap removal module and a dispensing module; the centrifugal module is used for centrifuging the sample to be centrifuged; the serum detection module is used for detecting whether the serum quantity of the sample is enough and/or detecting whether the serum quality of the sample is qualified; the cap removing module is used for removing caps of the centrifuged samples; the parting injection molding block is used for parting the sample;
One or more analysis modules for testing the sample;
the device comprises a track connected with each module, a scheduling device for scheduling samples among the modules through the track, and a controller; wherein:
the dispatching device dispatches the patient sample from the input module to the preprocessing module, and the preprocessing module preprocesses the dispatched patient sample;
the analysis module receives a quality control sample in a sample area thereof and performs quality control test, and the controller judges the state of the analysis module according to the test result of the quality control project and performs calibration;
for the patient sample which is processed previously, the controller determines the state of an analysis module which needs to test the patient sample, and controls a dispatching device to dispatch the patient sample according to the state of the analysis module.
In one embodiment, the controller determines the state of the analysis module according to the test result of the quality control item and performs calibration, including:
when judging that the test results of all the quality control items in the quality control item set of the analysis module are in control, the controller marks the state of the analysis module as an in-control state; and/or the number of the groups of groups,
and when judging that the test result of the quality control item in the quality control item set of the analysis module is out of control or the quality control item result is not out of control, the controller marks the state of the analysis module as a shielding state.
In an embodiment, the controller determines the state of the analysis module according to the test result of the quality control item and performs calibration, and further includes:
if the quality control item set of the analysis module further comprises preset non-parallel quality control items, when it is judged that all test results of all non-parallel quality control items in the quality control item set of the analysis module are in control and all test results of the remaining quality control items are not out or part of the test results of the remaining quality control items are not out, the controller also marks the state of the analysis module as an in-control state.
In an embodiment, when the controller determines that the analysis module is in a state that the test result of the quality control item is not in control or the test result of the quality control item is not in control, the controller removes the shielding of the analysis module when the test result of the quality control item is changed into the test result of the quality control item, and the state of the analysis module is changed from the shielding state into the in-control state.
In one embodiment, for a patient sample that has been pre-processed, when the controller determines that the state of an analysis module that needs to test the patient sample is in control, the controller controls the scheduling device to schedule the patient sample to the analysis module for patient sample testing; and/or when the controller determines that the state of the analysis module is a shielding state, the controller controls the dispatching device not to dispatch the patient sample to the analysis module for patient sample test and controls the patient sample to wait.
In one embodiment, for a pre-processed patient sample, if the patient sample needs to be tested on multiple analysis modules, when the controller determines that any one of the analysis modules is in a controlled state, the patient sample is first scheduled to the analysis module in the controlled state for testing.
In one embodiment, for a patient sample that has been pre-processed, if the patient sample needs to be tested on any one of a plurality of identical analysis modules, when the controller determines that any one of the analysis modules is in the controlled state, the controller dispatches the patient sample to the analysis module in the controlled state for testing.
In one embodiment, when the controller determines that the plurality of analysis modules are in a controlled state, the patient sample is scheduled to one of the analysis modules in the controlled state for testing according to a load balancing principle.
In one embodiment, the controller controls the patient sample to wait, comprising: the controller controls the scheduling device to schedule the patient sample to a preset buffer area for waiting.
In one embodiment, for a patient sample waiting in the buffer, when the controller determines that an analysis module that needs to test the patient sample is changed from a shielding state to a control state, the controller controls the scheduling device to schedule the patient sample from the buffer to the analysis module for testing.
In an embodiment, in response to a quality control item set command input by a user for any one analysis module, the controller sets a quality control item set corresponding to the analysis module.
According to a fifth aspect, an embodiment provides a method for testing a pipeline system, including:
receiving samples at an input area, wherein the samples comprise a quality control sample for quality control and a patient sample to be tested;
identifying a sample type;
when the sample type is identified as a quality control sample, scheduling the quality control sample to a corresponding analysis module for quality control test, when judging that the test results of all quality control items in a quality control item set of the analysis module are all in control, calibrating the state of the analysis module as a control state, and when judging that the quality control items in the quality control item set of the analysis module are out of control or the quality control item results are not out of control, calibrating the state of the analysis module as a shielding state;
when the sample type is identified as a patient sample, preprocessing the patient sample, and determining the state of an analysis module which needs to test the patient sample for the preprocessed patient sample;
if the patient sample is in the control state, the patient sample is dispatched to the analysis module for testing; and/or, if in a shielding state, not scheduling the patient sample to the analysis module for patient sample testing.
According to a sixth aspect, an embodiment provides a method for testing a pipeline system, including:
receiving a patient sample to be tested at an input area;
pre-processing a patient sample;
receiving a quality control sample in a sample loading area of an analysis module, performing quality control test, calibrating the state of the analysis module to be in a control state when judging that the test result of each quality control item in a quality control item set of the analysis module is in control, and calibrating the state of the analysis module to be in a shielding state when judging that the quality control item in the quality control item set of the analysis module is out of control or the quality control item result is not out of control;
for a pre-processed patient sample, determining the status of an analysis module that needs to test the patient sample;
if so, dispatching the patient sample to the analysis module for testing; and/or, if in the shielding state, not scheduling the patient sample to the analysis module for patient sample testing.
According to a seventh aspect, an embodiment provides a computer readable storage medium comprising a program executable by a processor to implement a method as described in any of the embodiments herein.
According to the pipeline system, the testing method of the pipeline system and the computer readable storage medium of the embodiment, the analysis module can be kept on line in the whole process of quality control and testing, and after the quality control sample and the patient sample are put in, excessive participation and operation of users are not needed; in the whole test process, quality control test and pretreatment of patient samples are performed in parallel, and after any one analysis instrument is controlled, project test of the patient samples can be started, so that any one control instrument does not need to wait for other analysis instruments, the time that the control instrument can perform the test of the patient samples is fully utilized, and the test efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of a pipeline system of one embodiment;
FIG. 2 is a schematic diagram of a pretreatment module according to an embodiment;
FIG. 3 is a schematic diagram of an aftertreatment module of an embodiment;
FIG. 4 is a schematic diagram of a pipeline system of another embodiment;
FIG. 5 is a test method of a pipeline system of one embodiment;
FIG. 6 is a test method of a pipeline system according to another embodiment.
Detailed Description
The application will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, related operations of the present application have not been shown or described in the specification in order to avoid obscuring the core portions of the present application, and may be unnecessary to persons skilled in the art from a detailed description of the related operations, which may be presented in the description and general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning. The term "coupled" as used herein includes both direct and indirect coupling (coupling), unless otherwise indicated.
Two ways of implementing the serial strategy of quality control testing and patient sample testing as described above: for the first mode, firstly, a user is required to put the quality control sample and the patient sample into the total input area of the pipeline in batches, and if the patient sample is put into the input area before the quality control sample, the patient sample is most likely tested under the condition that the analysis instrument is not controlled yet; secondly, the patient sample test can be carried out only after the analysis instrument is controlled, so that the time consumed by the pipeline system in the early quality control is too long, and the test efficiency is low; for the second mode, firstly, the user needs to manually switch between offline and online in the analysis instrument, and secondly, in the process of performing quality control test on the analysis instrument offline, the user needs to pay attention to the quality control project test result of the instrument in real time, which not only brings extra workload to the user, so that the user does not have time to deal with other matters, but also can lead the in-control instruments to be in a test idle state if the user does not switch the in-control instruments to online in time, so that the time of the instruments capable of performing patient sample test is not fully utilized, and the test efficiency is reduced.
In one conception of the invention, a quality control sample and a patient sample can be simultaneously put in an input area of a production line, the quality control sample and the patient sample are identified, the quality control sample is scheduled to a corresponding analysis instrument for quality control test, and the patient sample is scheduled to a pretreatment module for pretreatment; in the quality control test process, the quality control state of each analysis instrument is judged, when the analysis instrument is judged to be in control, the corresponding patient sample is dispatched to the analysis instrument to carry out the project test of the patient sample, the project test of the patient sample does not need to be started until all the analysis instruments are in control, and in other deformation concepts, the quality control sample can be respectively put into the sample loading areas of the analysis instruments to carry out the quality control test under the condition that the analysis instruments are kept on line. According to the invention, after the user puts in the quality control sample and the patient sample, the user is not required to participate and operate excessively, and the situation that the user does not switch the on-line control instruments in time in the second mode does not exist; in the whole test process, the quality control test and the pretreatment of the patient sample are performed in parallel, and when any one analysis instrument is controlled, the project test of the patient sample can be started, so that any one control instrument does not need to wait for other analysis instruments, the time that the control instrument can perform the test of the patient sample is fully utilized, and the test efficiency is improved; the present invention will be specifically described below.
Referring to fig. 1, a pipeline system according to an embodiment includes an input module 10, a pre-processing module 20, one or more analysis modules 30, a post-processing module 40, a track 50, a scheduler 60, a controller 70, and a display module 80. The track 50 is used to connect the modules, e.g. the input module 10, the pre-processing module 20, the one or more analysis modules 30 and the post-processing module 40, etc., and the scheduler 60 schedules the samples to the respective modules via the track. It should be noted that the post-processing module 40 and the display module 80 are optional modules and are not necessary in some pipeline systems.
The input module 10 is used for receiving samples put in by a user. The input module 10 in the pipeline system is typically a region where a user places samples, and during operation of the pipeline system, the input module 10 may automatically scan the samples placed therein, sort the samples, etc., for processing by the next module, such as the front processing module 20. In one embodiment, the input module 10 has an input area for a user to place samples, such as quality control samples and patient samples. The input module 10 may also identify the sample type in one embodiment, and various embodiments are possible. In one embodiment, after the input module 10 receives a sample placed by a user, the type of sample is identified based on the area in which the user placed the sample in the input module, or based on the sample holder in which the sample is located. For example, samples in which regions of the input module 10 are quality control samples and samples in which regions are patient samples may be preset, so that the input module 10 may identify the sample type by identifying which regions the samples are located in. For example, a specific type of sample rack may be introduced in advance, and the type of sample on the sample rack may be identified by the sample rack, for example, two types of sample racks may be cited, each type of sample rack corresponds to one type of sample, for example, one type of sample rack corresponds to a quality control sample, one type of sample rack corresponds to a patient sample, and the input module 10 may obtain the type of sample on the sample rack by identifying the type of sample rack, for example, by identifying a barcode on the sample rack.
The preprocessing module 20 is used for completing preprocessing of the sample. In one embodiment, referring to fig. 2, the pre-processing module 20 may include one or more of a centrifugation module 21, a serum detection module 22, a decapping module 23, and a dispensing module 24. The centrifugation module 21 is used for centrifuging the sample to be centrifuged, and the number of the centrifugation modules 21 may be one or more. The serum detection module 22 is configured to detect whether the serum level of the sample is sufficient and/or whether the serum level of the sample is acceptable to determine whether the centrifuged sample is available for subsequent testing. The cap removal module 23 is used to cap, membrane, remove cap and membrane the centrifuged sample—as will be understood, herein the capping, membrane, cap removal and membrane removal of the sample refers to the capping, membrane addition, cap removal and membrane removal of the sample tube containing the sample; typically the sample after centrifugation requires removal of the cap for subsequent dispensing or pipetting by the dispensing module 24 or analysis module. The dispensing module 24 is used to separate samples, for example, one sample into multiple samples, for separate measurement in different analysis modules 30. One typical preprocessing flow for the preprocessing module 20 is: the centrifugation module 21 receives the samples scheduled by the input module 10 and performs centrifugation on the samples; the serum detection module 22 detects serum of the sample after centrifugation to determine whether the sample can be used for subsequent measurement, and if the serum is insufficient in quantity or the sample is unqualified, the sample cannot be used for subsequent measurement; if the detection is passed, the sample is dispatched to the cap removing module 23, the cap removing module 23 removes the cap of the sample, if the sample separating module 24 is provided, the sample separating module 24 separates the removed sample, then the separated sample is dispatched to the corresponding analyzing module 30 for measurement, and if the sample separating module 24 is not provided, the sample is dispatched from the cap removing module 23 to the corresponding analyzing module 30 for measurement.
The analysis module 30 is used to test the centrifuged and uncapped samples. To improve efficiency and test throughput, typically, the pipeline system will have a plurality of analysis modules 30, such as biochemical analysis modules, immunological analysis modules, coagulation analysis modules, and the like. These analysis modules 30 may be of the same kind, i.e. for measuring the same item, or of different kinds, i.e. for measuring different items, which may be configured according to the needs of the user and the department.
The post-processing module 40 is used for completing post-processing of the sample. In one embodiment, referring to FIG. 3, the post-processing module 40 includes one or more of a film/capping module 41, a refrigerated storage module 42, and a film/capping module 43. The film adding/capping module is used for adding films or capping the samples; the cold storage module 42 is used for storing samples; the film removing/capping module is used for removing films or caps of the samples. One typical post-processing flow of the post-processing module 40 is: after the analysis module 30 sucks the sample, the sample is dispatched to the film adding/capping module 41, and the film adding/capping module 41 adds the film or caps the measured sample, and then dispatches the sample to the cold storage module 42 for storage. If the sample needs to be retested, the sample is dispatched from the refrigerated storage module 42 and removed from the film or cover in the film/cover removal module 43 and then dispatched to the analysis module 30 for testing.
Referring to fig. 4, as an example of the pipeline system, each module further includes a module buffer, for example, the centrifugal module 21 has a buffer; track 50 also has a track buffer (the track in the upper right hand corner of the figure, which is a curved track), and the entire track may be a circular track. It should be noted that many types of modules are shown in the drawings, but those skilled in the art will understand that the number is not limited herein, and for example, the centrifugal module 21 may be plural, the analysis module 30 may be plural, etc.
In the present invention, when a user simultaneously puts a quality control sample and a patient sample into an input area of the input module 10, the input module 10 recognizes the sample type after receiving the sample in its input area. When the input module 10 recognizes that the sample type is a quality control sample, the scheduling device 60 schedules the quality control sample to the corresponding analysis module 30 for quality control test; when the input module 10 recognizes that the sample type is a patient sample, the pre-processing module 20 pre-processes the patient sample. In some examples, the user may also place a quality control sample in the loading area of each analysis module 30 and place a patient sample in the input area of the input module 10, in which case each analysis module 30 begins the quality control test after receiving the quality control sample in its loading area; at the same time, the scheduler 60 schedules patient samples from the input module 10 to the pre-processing module 20, and the pre-processing module 20 pre-processes the scheduled patient samples.
It should be noted that, in the above process, each analysis module 30 is in an on-line state; and it can be seen that during the above process, on the one hand, each analysis module 30 is performing its own quality control test, and on the other hand, the preprocessing module 20 of the pipeline system is preprocessing a patient sample. In this process, the controller 70 determines the state of the corresponding analysis module 30 according to the test result of the quality control item of each analysis module 30 and performs calibration; for a pre-processed patient sample, the controller 70 determines the status of the analysis module 30 for which a test is to be performed on the patient sample, and controls the scheduler 60 to schedule the patient sample according to the status of the analysis module 30. For example, the patient sample S is a pre-processed patient sample, and when the patient sample S needs to be scheduled to a first analysis module in the pipeline system for testing, the controller 70 determines the status of the first analysis module and then controls the scheduling device 60 to schedule the patient sample S according to the status of the first analysis module.
First, how the controller 70 determines the state of the corresponding analysis module 30 according to the test result of the quality control item of each analysis module 30 and performs calibration. The state or quality control state of analysis module 30 may include both an in-control state and a mask state, and in some examples may include a particular in-control state, as described in more detail below.
Generally, each analysis module 30 in the sample analysis system has a respective quality control item set, and the quality control sample performs a test on each quality control item in the quality control item set. For any analysis module 30, in one embodiment, the controller 70 determines that the analysis module 30 is controlling when determining that the test results of the quality control items in the quality control item set of the analysis module 30 are all controlling. For any analysis module 30, its quality control item set may be composed of all the items supported by itself, for example, the quality control item set of the analysis module 30 may be set to the set of all the items supported by the analysis module 30 itself in a default or factory condition. In other examples, the test department may not need to use all the items of the analysis module 30 for testing in actual use, and in a very likely case, the test department will usually only fix a part of the items supported by the analysis module, so if the quality control item set of the analysis module is still a set of all the items supported by the test department, it is time consuming and labor consuming, and consumables such as quality control products are wasted, so in this case, the quality control item set of the analysis module may be set by providing a function to set the quality control item set of the analysis module, for example, to a set of some items desired by the user, for example, the quality control item set of the analysis module may be set to a set of only some of the items in the analysis module that the test department usually fixes. Thus, in one embodiment, in response to a user input of a quality control item set command for any one of the analysis modules 30, the controller 70 sets a quality control item set for the corresponding analysis module. Therefore, for any analysis module 30, when it is determined that the test results of each quality control item in the quality control item set of the analysis module 30 are all in control, the controller 70 marks the state of the analysis module 30 as the in-control state. For any analysis module 30, when it is determined that the test result of the quality control item in the quality control item set of the analysis module 30 is out of control or the quality control item result is not yet output, the controller 70 marks the state of the analysis module 30 as a shielding state.
In some examples, non-parallel quality control items may be introduced, when the quality control item set of the analysis module 30 includes non-parallel quality control items, if it is determined that all test results of the non-parallel quality control items in the quality control item set of the analysis module 30 are under control, and all test results of the remaining quality control items are not out or part of the test results of the remaining quality control items are not out, for example, after the non-parallel quality control items are removed, there are 10 quality control items remaining in the quality control item set, where 5 quality control items are under control, and 5 quality control items are not out of results, the controller 70 marks the state of the analysis module 30 as an under control state. Typically, for each analysis module 30, their respective relatively easy-to-run-away quality control items and less-to-run-away quality control items may be counted; for any analysis module 30, the quality control items which are easy to be out of control can be set as the non-parallel quality control items, so that after the test results of the easy-to-control items in the analysis module 30 are all in control, if the rest of the easy-to-control items have no results, or if part of the rest of the easy-to-control items have no results in the control part, for example, the easy-to-control items are removed from the quality control item set, the rest of the easy-to-control items have 10, wherein 5 easy-to-control items are in control, and 5 easy-to-control items have no results, then the analysis module 30 is also marked as in a control state; of course, if the remaining non-runaway items are all out of result and all in control, then the analysis module 30 will naturally be calibrated to be in control; in addition, it will be appreciated that regardless of whether or not a set of quality control items of the analysis module 30 includes non-parallel quality control items, the analysis module 30 is calibrated to be in a shielded state by the controller 70 as long as there is a loss of control items.
When the controller 70 determines that the analysis module 30 is not controlled by the test result of the quality control item or the test result of the quality control item is not yet controlled, and the test result of the quality control item is changed to be controlled, the controller 70 removes the shielding of the analysis module 30, and the state of the analysis module 30 is changed from the shielding state to the controlling state.
How the controller 70 controls the scheduler 60 to schedule patient samples according to the status of the analysis module 30 is further described below.
In one embodiment, for a pre-processed patient sample, when the controller 70 determines that the status of the analysis module 30 for which a test is required is in control, the controller 70 controls the scheduler 60 to schedule the patient sample to the analysis module 30 for a patient sample test.
In one embodiment, for a pre-processed patient sample, if the patient sample needs to be tested on each of the plurality of analysis modules 30, when the controller 70 determines that any one of the analysis modules 30 is in the controlled state, the patient sample is first scheduled to the analysis module 30 in the controlled state for testing. In some cases, for a pre-processed patient sample, if the patient sample needs to be tested on a plurality of analysis modules 30, if the controller 70 determines that at least two of the plurality of analysis modules 30 are in control, the controller 70 may schedule the patient sample to one of the analysis modules 30 in control for testing according to the load balancing principle. In addition, when a patient sample is tested on one of the analysis modules 30, such as after aspiration is complete, and the other analysis modules 30 that need to be tested also have an in-control status, then the patient sample continues to be scheduled for testing in the other analysis modules 30 in the in-control status. For example, assuming that there is a pre-processed patient sample S that needs to be tested by the first through third analysis modules 30 of the pipeline, respectively, when the controller 70 determines that any one of the analysis modules 30 is in the control state, e.g., the second analysis module 30 is in control, the patient sample S is first dispatched to the analysis module 30 in the control state, e.g., the second analysis module 30 is tested; when the controller 70 determines that both the first and second analysis modules 30 are in control, the controller 70 may schedule the patient sample S to one of the analysis modules 30 in control for testing according to load balancing criteria, e.g., if the first analysis module 30 is relatively busy and the second analysis module 30 is relatively idle at this time, then test is performed on the patient sample S to the second analysis module 30; in an example, when the patient sample S is tested at the second analysis module 30, e.g., the sample is sucked, if the first analysis module 30 is also in control at this time, the patient sample S is then dispatched to the first analysis module 30 for testing.
In one embodiment, for a pre-processed patient sample, if the patient sample needs to be tested on any one of the plurality of identical analysis modules 30, when the controller 70 determines that any one of the analysis modules 30 is in the controlled state, the patient sample is scheduled to the analysis module 30 in the controlled state for testing; in some cases, for a pre-processed patient sample, if at least two of the plurality of identical analysis modules 30 are in control, the controller 70 may schedule the patient sample to one of the analysis modules 30 in control for testing according to load balancing principles. For example, assuming that there are three identical analysis modules, e.g., first through third analysis modules 30, for a pipeline system, the patient sample S need only be tested by one of the three analysis modules 30, and when the controller 70 determines that any one of the analysis modules 30 is in a controlled state, e.g., a second analysis module 30 is in control, the patient sample S is dispatched to the analysis module 30 in the controlled state, e.g., the second analysis module 30 is tested; when the controller 70 determines that both the first and second analysis modules 30 are in control, the controller 70 may schedule the patient sample S to one of the analysis modules 30 in control for testing according to load balancing principles, e.g., if the first analysis module 30 is relatively busy and the second analysis module 30 is relatively idle at this time, then the patient sample S is scheduled to the second analysis module 30 for testing.
The above is a scheduling description of how patient samples that are required to be tested by the analysis module 30 are scheduled when the analysis module 30 is in a controlled state.
In one embodiment, when the controller determines that the state of the analysis module is a mask state, the controller 70 controls the scheduling device not to schedule the patient sample to the analysis module for patient sample testing and controls the patient sample to wait; in one embodiment, the controller 70 controls the scheduler 60 to schedule the patient samples to a predetermined buffer, such as the buffer of the track 50 mentioned in the previous example, to wait. In one embodiment, for patient samples waiting in the buffer, when the controller 70 determines that the analysis module 30 that needs to test the patient sample is changed from the shielding state to the controlling state, the controller 70 controls the dispatching device 60 to dispatch the patient sample from the buffer to the analysis module 30 for testing.
The embodiment of the invention also discloses a test method (hereinafter referred to as a test method) of the pipeline system. Referring to fig. 5, the testing method of an embodiment may include steps S100 to S150, which are described in detail below.
Step S100: samples are received at the input area, including a quality control sample for quality control and a patient sample to be tested.
Step S110: the sample type is identified. How to identify whether the sample is a quality control sample or a patient sample in step S110 can be described with reference to the input module 10, and will not be described herein.
Step S120: and when the sample type is identified as the quality control sample, scheduling the quality control sample to a corresponding analysis module for quality control test.
Step S130: and judging the state of the corresponding analysis module according to the test result of the quality control project of each analysis module and calibrating. For example, for any analysis module, when judging that the test results of all quality control items in the quality control item set of the analysis module are all in control, calibrating the state of the analysis module as an in-control state; and for any analysis module, when judging that the test result of the quality control item in the quality control item set of the analysis module is out of control or the quality control item result is not out, calibrating the state of the analysis module as a shielding state. In some examples, non-parallel quality control items may be introduced, when the quality control item set of the analysis module includes non-parallel quality control items, if it is determined that all test results of the non-parallel quality control items in the quality control item set of the analysis module are under control, and all test results of the remaining quality control items are not yet output or some test results of the remaining quality control items are not yet output, for example, after the non-parallel quality control items are removed, 10 quality control items remain in the quality control item set, where 5 quality control items are under control, and 5 quality control items are not yet output results, the state of the analysis module is also calibrated as an under-control state. How to perform the state calibration on the analysis of each module in step S130, and how to switch between the states, for example, from the in-control state to the shielding state, from the shielding state to the in-control state, etc., are described in detail above, and will not be described in detail herein.
Step S140: when the sample type is identified as a patient sample, the patient sample is pre-processed.
Step S150: for a pre-processed patient sample, determining the state of an analysis module required to test the patient sample, and controlling the scheduling of the patient sample according to the state of the analysis module. For example, if in a controlled state, the patient sample is dispatched to the analysis module for testing; and/or, if in a shielding state, not scheduling the patient sample to the analysis module for patient sample testing. In step S150, the scheduling device is controlled to schedule the patient sample according to the state of the analysis module, which is described in detail above and not described in detail.
The above is an example of placing the patient sample and the quality control sample in the input area of the pipeline system at the same time, in some cases, the user may also place the quality control sample in the sample loading area of each analysis module, and place the patient sample in the input area of the pipeline system (i.e. the input area of the input module), for which the test method of an embodiment may include steps S200 to S240, which will be described in detail below.
Step S200: a patient sample to be tested is received at an input area.
Step S210: the patient sample is pre-processed.
Step S220: and receiving a quality control sample in a loading area of the analysis module.
Step S230: and the analysis module performs quality control test on the quality control sample in the sample loading area.
Step S240: and judging the state of the corresponding analysis module according to the test result of the quality control project of each analysis module and calibrating. For example, for any analysis module, when judging that the test results of all quality control items in the quality control item set of the analysis module are all in control, calibrating the state of the analysis module as an in-control state; for any analysis module, when judging that the test result of the quality control items in the quality control item set of the analysis module is out of control or the quality control item result is not yet found, for example, after the non-parallel quality control items are removed, 10 quality control items are left in the quality control item set, wherein 5 quality control items are in control, and the 5 quality control items have not found results, the state of the analysis module is marked as a shielding state. In some examples, non-parallel quality control items may be introduced, when the quality control item set of the analysis module includes non-parallel quality control items, if it is determined that all test results of the non-parallel quality control items in the quality control item set of the analysis module are in control, and all test results of the remaining quality control items are not out or part of the test results are not out, the state of the analysis module is also marked as the in-control state. How to perform state calibration on each module analysis in step S240, and how to switch between states, for example, from the in-control state to the shielding state, from the shielding state to the in-control state, etc., are described in detail above, and will not be described in detail herein.
Step S250: for a pre-processed patient sample, determining the state of an analysis module required to test the patient sample, and controlling the scheduling of the patient sample according to the state of the analysis module. For example, if in a controlled state, the patient sample is dispatched to the analysis module for testing; and/or, if in a shielding state, not scheduling the patient sample to the analysis module for patient sample testing. Step S250 specifically controls the scheduling device to schedule the patient samples according to the state of the analysis module, which is described in detail above and not described in detail.
Reference is made to various exemplary embodiments herein. However, those skilled in the art will recognize that changes and modifications may be made to the exemplary embodiments without departing from the scope herein. For example, the various operational steps and components used to perform the operational steps may be implemented in different ways (e.g., one or more steps may be deleted, modified, or combined into other steps) depending on the particular application or taking into account any number of cost functions associated with the operation of the system.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. Additionally, as will be appreciated by one of skill in the art, the principles herein may be reflected in a computer program product on a computer readable storage medium preloaded with computer readable program code. Any tangible, non-transitory computer readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-to-ROM, DVD, blu-Ray disks, etc.), flash memory, and/or the like. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including means which implement the function specified. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified.
While the principles herein have been shown in various embodiments, many modifications of structure, arrangement, proportions, elements, materials, and components, which are particularly adapted to specific environments and operative requirements, may be used without departing from the principles and scope of the present disclosure. The above modifications and other changes or modifications are intended to be included within the scope of this document.
The foregoing detailed description has been described with reference to various embodiments. However, those skilled in the art will recognize that various modifications and changes may be made without departing from the scope of the present disclosure. Accordingly, the present disclosure is to be considered as illustrative and not restrictive in character, and all such modifications are intended to be included within the scope thereof. Also, advantages, other advantages, and solutions to problems have been described above with regard to various embodiments. The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, system, article, or apparatus. Furthermore, the term "couple" and any other variants thereof are used herein to refer to physical connections, electrical connections, magnetic connections, optical connections, communication connections, functional connections, and/or any other connection.

Claims (17)

1. A pipeline system, comprising:
an input module for receiving a sample at an input area thereof and identifying a sample type; wherein the samples comprise a quality control sample for quality control and a patient sample to be tested;
the pretreatment module is used for carrying out pretreatment on the sample; wherein the pretreatment module comprises one or more of a centrifugation module, a serum detection module, a cap removal module and a dispensing module; the centrifugal module is used for centrifuging the sample to be centrifuged; the serum detection module is used for detecting whether the serum quantity of the sample is enough and/or detecting whether the serum quality of the sample is qualified; the cap removing module is used for removing caps of the centrifuged samples; the parting injection molding block is used for parting the sample;
one or more analysis modules for testing the sample;
the post-processing module is used for carrying out post-processing on the sample;
the device comprises a track connected with each module, a scheduling device for scheduling samples among the modules through the track, and a controller; wherein:
the controller controls the quality control test of the quality control sample and the pretreatment of the patient sample to be performed in parallel;
when the input module identifies that the sample type is a quality control sample, the scheduling device schedules the quality control sample to a corresponding analysis module for quality control test, the controller marks the state of the analysis module as a control state when judging that the test result of each quality control item in the quality control item set of the analysis module is in control, and marks the state of the analysis module as a shielding state when judging that the quality control item in the quality control item set of the analysis module is out of control or the quality control item result is not out of control;
When the input module identifies that the sample type is a patient sample, the preprocessing module preprocesses the patient sample, and for the preprocessed patient sample, the controller determines the state of an analysis module which needs to test the patient sample, if the input module is in a control state, the dispatching device dispatches the patient sample to the analysis module for testing, and if the input module is in a shielding state, the controller controls the dispatching device not to dispatch the patient sample to the analysis module for testing.
2. A pipeline system, comprising:
an input module for receiving a patient sample to be tested at an input area thereof;
the pretreatment module is used for carrying out pretreatment on the sample; wherein the pretreatment module comprises one or more of a centrifugation module, a serum detection module, a cap removal module and a dispensing module; the centrifugal module is used for centrifuging the sample to be centrifuged; the serum detection module is used for detecting whether the serum quantity of the sample is enough and/or detecting whether the serum quality of the sample is qualified; the cap removing module is used for removing caps of the centrifuged samples; the parting injection molding block is used for parting the sample;
one or more analysis modules for testing the sample;
The post-processing module is used for carrying out post-processing on the sample;
the device comprises a track connected with each module, a scheduling device for scheduling samples among the modules through the track, and a controller; wherein:
the controller controls the quality control test of the quality control sample and the pretreatment of the patient sample to be performed in parallel;
the dispatching device dispatches the patient sample from the input module to the preprocessing module, and the preprocessing module preprocesses the dispatched patient sample; the controller marks the state of the analysis module as an in-control state when judging that the test results of all quality control items in the quality control item set of the analysis module are in control, and marks the state of the analysis module as a shielding state when judging that the quality control items in the quality control item set of the analysis module are out of control or the quality control item results are not out of control;
for the patient sample which is processed previously, the controller determines the state of an analysis module which needs to test the patient sample, if the state is in a control state, the dispatching device dispatches the patient sample to the analysis module for testing, and if the state is in a shielding state, the controller controls the dispatching device not to dispatch the patient sample to the analysis module for testing.
3. A pipeline system, comprising:
an input module for receiving a sample at an input area thereof and identifying a sample type; wherein the samples comprise a quality control sample for quality control and a patient sample to be tested;
the pretreatment module is used for carrying out pretreatment on the sample; wherein the pretreatment module comprises one or more of a centrifugation module, a serum detection module, a cap removal module and a dispensing module; the centrifugal module is used for centrifuging the sample to be centrifuged; the serum detection module is used for detecting whether the serum quantity of the sample is enough and/or detecting whether the serum quality of the sample is qualified; the cap removing module is used for removing caps of the centrifuged samples; the parting injection molding block is used for parting the sample;
one or more analysis modules for testing the sample;
the device comprises a track connected with each module, a scheduling device for scheduling samples among the modules through the track, and a controller; wherein:
the controller controls the quality control test of the quality control sample and the pretreatment of the patient sample to be performed in parallel;
when the input module identifies that the sample type is a quality control sample, the scheduling device schedules the quality control sample to a corresponding analysis module for quality control test, and the controller judges the state of the analysis module according to the test result of the quality control project and performs calibration;
When the input module identifies that the sample type is a patient sample, the preprocessing module preprocesses the patient sample, and the controller determines the state of an analysis module which needs to test the patient sample for the preprocessed patient sample, and controls the dispatching device to dispatch the patient sample according to the state of the analysis module.
4. A pipeline system, comprising:
an input module for receiving a patient sample to be tested at an input area thereof;
the pretreatment module is used for carrying out pretreatment on the sample; wherein the pretreatment module comprises one or more of a centrifugation module, a serum detection module, a cap removal module and a dispensing module; the centrifugal module is used for centrifuging the sample to be centrifuged; the serum detection module is used for detecting whether the serum quantity of the sample is enough and/or detecting whether the serum quality of the sample is qualified; the cap removing module is used for removing caps of the centrifuged samples; the parting injection molding block is used for parting the sample;
one or more analysis modules for testing the sample;
the device comprises a track connected with each module, a scheduling device for scheduling samples among the modules through the track, and a controller; wherein:
The controller controls the quality control test of the quality control sample and the pretreatment of the patient sample to be performed in parallel;
the dispatching device dispatches the patient sample from the input module to the preprocessing module, and the preprocessing module preprocesses the dispatched patient sample;
the analysis module receives a quality control sample in a sample area thereof and performs quality control test, and the controller judges the state of the analysis module according to the test result of the quality control project and performs calibration;
for the patient sample which is processed previously, the controller determines the state of an analysis module which needs to test the patient sample, and controls a dispatching device to dispatch the patient sample according to the state of the analysis module.
5. The pipeline system of claim 3 or 4, wherein the controller determines the state of the analysis module according to the test result of the quality control item and performs calibration, comprising:
when judging that the test results of all the quality control items in the quality control item set of the analysis module are in control, the controller marks the state of the analysis module as an in-control state; and/or the number of the groups of groups,
and when judging that the test result of the quality control item in the quality control item set of the analysis module is out of control or the quality control item result is not out of control, the controller marks the state of the analysis module as a shielding state.
6. The pipeline system of claim 5, wherein the controller determines and calibrates the state of the analysis module according to the test result of the quality control item, and further comprising:
if the quality control item set of the analysis module further comprises preset non-parallel quality control items, when it is judged that all test results of all non-parallel quality control items in the quality control item set of the analysis module are in control and all test results of the remaining quality control items are not out or part of the test results of the remaining quality control items are not out, the controller also marks the state of the analysis module as an in-control state.
7. The pipeline system of claim 5, wherein when the controller determines that the analysis module is in a state that the test result of the quality control item is not in control or the test result of the quality control item is not in control, the controller removes the shielding of the analysis module, and the state of the analysis module is changed from the shielding state to the in-control state.
8. The pipeline system of claim 5, wherein for a pre-processed patient sample, when the controller determines that the status of an analysis module requiring testing of the patient sample is in control, the controller controls the scheduling device to schedule the patient sample to the analysis module for patient sample testing; and/or when the controller determines that the state of the analysis module is a shielding state, the controller controls the dispatching device not to dispatch the patient sample to the analysis module for patient sample test and controls the patient sample to wait.
9. The pipeline system of claim 8, wherein for a pre-processed patient sample, if the patient sample is to be tested on each of the plurality of analysis modules, the controller is configured to schedule the patient sample to be tested on any one of the analysis modules in the controlled state when the controller determines that the patient sample is in the controlled state.
10. The pipeline system of claim 8, wherein for a pre-processed patient sample, if the patient sample is to be tested on any of a plurality of identical analysis modules, the controller is configured to schedule the patient sample for testing to the analysis module in the in-control state if any of the analysis modules is determined to be in the in-control state.
11. A pipeline system as claimed in claim 9 or claim 10, wherein when the controller determines that a plurality of analysis modules are in a controlled state, the patient sample is scheduled to one of the analysis modules in a controlled state for testing in accordance with load balancing principles.
12. The pipeline system of claim 8, wherein the controller controls the patient sample to wait, comprising: the controller controls the scheduling device to schedule the patient sample to a preset buffer area for waiting.
13. The pipeline system of claim 12, wherein for a patient sample waiting in the buffer, when the controller determines that an analysis module requiring testing of the patient sample is changed from a mask state to a control state, the controller controls the scheduling means to schedule the patient sample from the buffer to the analysis module for testing.
14. The pipeline system of claim 5, wherein the controller sets a quality control item set for a corresponding analysis module in response to a user-entered quality control item set command for any one analysis module.
15. A method of testing a pipeline system, comprising:
receiving samples at an input area, wherein the samples comprise a quality control sample for quality control and a patient sample to be tested;
identifying a sample type;
controlling the quality control test of the quality control sample and the pretreatment of the patient sample to be performed in parallel;
when the sample type is identified as a quality control sample, scheduling the quality control sample to a corresponding analysis module for quality control test, when judging that the test results of all quality control items in a quality control item set of the analysis module are all in control, calibrating the state of the analysis module as a control state, and when judging that the quality control items in the quality control item set of the analysis module are out of control or the quality control item results are not out of control, calibrating the state of the analysis module as a shielding state;
When the sample type is identified as a patient sample, preprocessing the patient sample, and determining the state of an analysis module which needs to test the patient sample for the preprocessed patient sample;
if the patient sample is in the control state, the patient sample is dispatched to the analysis module for testing; and/or, if in a shielding state, not scheduling the patient sample to the analysis module for patient sample testing.
16. A method of testing a pipeline system, comprising:
the quality control test of the quality control sample and the pretreatment of the patient sample are controlled to be performed in parallel;
receiving a patient sample to be tested at an input area;
pre-processing a patient sample;
receiving a quality control sample in a sample loading area of an analysis module, performing quality control test, calibrating the state of the analysis module to be in a control state when judging that the test result of each quality control item in a quality control item set of the analysis module is in control, and calibrating the state of the analysis module to be in a shielding state when judging that the quality control item in the quality control item set of the analysis module is out of control or the quality control item result is not out of control;
for a pre-processed patient sample, determining the status of an analysis module that needs to test the patient sample;
If so, dispatching the patient sample to the analysis module for testing; and/or, if in the shielding state, not scheduling the patient sample to the analysis module for patient sample testing.
17. A computer readable storage medium comprising a program executable by a processor to implement the method of claim 15 or 16.
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Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102221625A (en) * 2010-04-14 2011-10-19 深圳迈瑞生物医疗电子股份有限公司 Full-automatic biochemistry analyzer and online sample loading method thereof
CN102735860A (en) * 2011-04-15 2012-10-17 深圳迈瑞生物医疗电子股份有限公司 Method, device and system for treating sample of body fluid examination flow line work station
US8341591B1 (en) * 2006-04-13 2012-12-25 Sprint Communications Company, L.P. Method and software tool for real-time optioning in a software development pipeline
CN103207282A (en) * 2012-01-13 2013-07-17 深圳迈瑞生物医疗电子股份有限公司 Quality control testing method and system for biochemical analysis
CN103460053A (en) * 2011-04-15 2013-12-18 深圳迈瑞生物医疗电子股份有限公司 Body fluid workstation and on-line loading reagent method, system thereof
CN104484582A (en) * 2014-12-08 2015-04-01 深圳华大基因科技服务有限公司 Method and system for automatically analyzing bioinformation items through modular selection
CN105045220A (en) * 2015-05-08 2015-11-11 上海质晟生物科技有限公司 Quality control method based on Z-score quality control chart for multiple variables
CN105929800A (en) * 2016-04-25 2016-09-07 温冬梅 Medical laboratory automation flow line with mobile management system
CN105974894A (en) * 2016-04-25 2016-09-28 温冬梅 Medical laboratory automated assembly line reagent automatic supply method and system
CN106203786A (en) * 2016-06-27 2016-12-07 温冬梅 Medical laboratory's automatic assembly line indoor method of quality control and control system thereof
CN106248977A (en) * 2016-07-06 2016-12-21 温冬梅 The on-line analysis Performance Appraisal System of Health Service Laboratory automatic production line detecting system
CN106568983A (en) * 2016-10-27 2017-04-19 温冬梅 Indoor quality control system for medical laboratory automatic assembly line detection system
CN106596983A (en) * 2015-10-16 2017-04-26 深圳迈瑞生物医疗电子股份有限公司 Sample testing method based on consumable allowance detection and sample analyzer
CN107368700A (en) * 2017-07-21 2017-11-21 上海桑格信息技术有限公司 Based on the microbial diversity interaction analysis system and method for calculating cloud platform
CN107782675A (en) * 2017-09-30 2018-03-09 深圳迈瑞生物医疗电子股份有限公司 A kind of consumable information processing method and biological sample analysis instrument

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050249634A1 (en) * 2004-05-10 2005-11-10 Devlin William J Sr Calibration solution system for use in an automatic clinical analyzer

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8341591B1 (en) * 2006-04-13 2012-12-25 Sprint Communications Company, L.P. Method and software tool for real-time optioning in a software development pipeline
CN102221625A (en) * 2010-04-14 2011-10-19 深圳迈瑞生物医疗电子股份有限公司 Full-automatic biochemistry analyzer and online sample loading method thereof
CN102735860A (en) * 2011-04-15 2012-10-17 深圳迈瑞生物医疗电子股份有限公司 Method, device and system for treating sample of body fluid examination flow line work station
CN103460053A (en) * 2011-04-15 2013-12-18 深圳迈瑞生物医疗电子股份有限公司 Body fluid workstation and on-line loading reagent method, system thereof
CN103207282A (en) * 2012-01-13 2013-07-17 深圳迈瑞生物医疗电子股份有限公司 Quality control testing method and system for biochemical analysis
CN104484582A (en) * 2014-12-08 2015-04-01 深圳华大基因科技服务有限公司 Method and system for automatically analyzing bioinformation items through modular selection
CN105045220A (en) * 2015-05-08 2015-11-11 上海质晟生物科技有限公司 Quality control method based on Z-score quality control chart for multiple variables
CN106596983A (en) * 2015-10-16 2017-04-26 深圳迈瑞生物医疗电子股份有限公司 Sample testing method based on consumable allowance detection and sample analyzer
CN105929800A (en) * 2016-04-25 2016-09-07 温冬梅 Medical laboratory automation flow line with mobile management system
CN105974894A (en) * 2016-04-25 2016-09-28 温冬梅 Medical laboratory automated assembly line reagent automatic supply method and system
CN106203786A (en) * 2016-06-27 2016-12-07 温冬梅 Medical laboratory's automatic assembly line indoor method of quality control and control system thereof
CN106248977A (en) * 2016-07-06 2016-12-21 温冬梅 The on-line analysis Performance Appraisal System of Health Service Laboratory automatic production line detecting system
CN106568983A (en) * 2016-10-27 2017-04-19 温冬梅 Indoor quality control system for medical laboratory automatic assembly line detection system
CN107368700A (en) * 2017-07-21 2017-11-21 上海桑格信息技术有限公司 Based on the microbial diversity interaction analysis system and method for calculating cloud platform
CN107782675A (en) * 2017-09-30 2018-03-09 深圳迈瑞生物医疗电子股份有限公司 A kind of consumable information processing method and biological sample analysis instrument

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