CN116609539A - Sample injection detection method, device and system of sample analyzer and sample analyzer - Google Patents
Sample injection detection method, device and system of sample analyzer and sample analyzer Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 362
- 238000002347 injection Methods 0.000 title claims abstract description 146
- 239000007924 injection Substances 0.000 title claims abstract description 146
- 239000003153 chemical reaction reagent Substances 0.000 claims abstract description 327
- 239000007788 liquid Substances 0.000 claims abstract description 40
- 238000000034 method Methods 0.000 claims abstract description 34
- 238000005070 sampling Methods 0.000 claims description 74
- 210000004369 blood Anatomy 0.000 claims description 27
- 239000008280 blood Substances 0.000 claims description 27
- 230000002159 abnormal effect Effects 0.000 claims description 25
- 238000012544 monitoring process Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 10
- 238000000926 separation method Methods 0.000 claims 2
- 230000004044 response Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 6
- 210000000601 blood cell Anatomy 0.000 description 4
- 238000004140 cleaning Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000002955 isolation Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000004445 quantitative analysis Methods 0.000 description 2
- 208000007536 Thrombosis Diseases 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 239000003085 diluting agent Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000002949 hemolytic effect Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/10—Devices for transferring samples or any liquids to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/10—Devices for transferring samples or any liquids to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
- G01N35/1009—Characterised by arrangements for controlling the aspiration or dispense of liquids
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/10—Devices for transferring samples or any liquids to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
- G01N35/1009—Characterised by arrangements for controlling the aspiration or dispense of liquids
- G01N35/1016—Control of the volume dispensed or introduced
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/10—Devices for transferring samples or any liquids to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
- G01N35/1009—Characterised by arrangements for controlling the aspiration or dispense of liquids
- G01N35/1016—Control of the volume dispensed or introduced
- G01N2035/1018—Detecting inhomogeneities, e.g. foam, bubbles, clots
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Abstract
The invention discloses a sample injection detection method, device and system of a sample analyzer and the sample analyzer. The invention acquires liquid flow state data acquired by a sample sensor positioned on a sample inlet pipe; detecting a sample suction state according to the liquid flow state data, and determining a current sample suction state; acquiring reagent detection data acquired by a reagent sensor positioned on a reagent sample line; detecting the reagent state according to the reagent detection data, and determining the current reagent state; and determining a sample injection detection result of a sample analyzer according to the current sample suction state and the current reagent state. By the method, the sample injection state of the sample analyzer is monitored in real time and accurately analyzed, and timely response can be achieved when the sample injection state of the sample analyzer fails, so that the sample injection efficiency is improved, the detection precision and accuracy of subsequent sample detection are guaranteed, and the user experience is improved.
Description
Technical Field
The present invention relates to the field of medical devices, and in particular, to a sample injection detection method, device and system for a sample analyzer, and a sample analyzer.
Background
Along with popularization of application of the blood cell analyzer (i.e. sample analyzer), requirements on stability of the blood cell analyzer and accuracy of detection results are also higher and higher. The existing blood cell analyzer is provided with liquid adding and blood separating quantification through pipelines, if faults exist in the pipeline for sucking a sample process and the pipeline for sucking a reagent process, the blood cell analyzer can be caused to have insufficient sample and reagent liquid inlet amount for quantitative analysis or cleaning process, so that quantitative analysis or cleaning process and other processes are affected, finally, the accuracy of detection results is reduced, and how to perform state detection on the sample sucking process and the reagent sucking process becomes the current problem to be solved urgently.
Disclosure of Invention
The invention mainly aims to provide a sample injection detection method, device and system of a sample analyzer and the sample analyzer, and aims to solve the technical problems of how to perform state detection on a sample injection process and ensure state detection accuracy.
In order to achieve the above object, the present invention provides a sample injection detection method of a sample analyzer, the sample injection detection method of the sample analyzer includes the following steps:
acquiring liquid flow state data acquired by a sample sensor positioned on a sample inlet pipe;
Detecting a sample suction state according to the liquid flow state data, and determining a current sample suction state;
acquiring reagent detection data acquired by a reagent sensor positioned on a reagent sample line;
detecting the reagent state according to the reagent detection data, and determining the current reagent state;
and determining a sample injection detection result of a sample analyzer according to the current sample suction state and the current reagent state.
Optionally, the sample sensor comprises a first sensor positioned at the front end of the blood separating valve of the sample injection pipeline and a second sensor positioned at the rear end of the blood separating valve;
detecting the sample suction state according to the liquid flow state data, and determining the current sample suction state comprises the following steps:
acquiring a sensor state of the first sensor and a sensor state of the second sensor;
when the sensor state of the first sensor and the sensor state of the second sensor are both in a preset running state, acquiring first sample sucking data acquired by the first sensor and second sample sucking data acquired by the second sensor;
determining a front sampling state according to the first sampling data, and determining a rear sampling state according to the second sampling data;
and comparing the front sampling state with the rear sampling state to determine the current sampling state.
Optionally, after the acquiring the sensor state of the first sensor and the sensor state of the second sensor, the method further includes:
when the sensor state of the first sensor is a preset running state and the sensor state of the second sensor is not the preset running state, acquiring first acquired data of the first sensor;
determining a current sample suction state according to the first acquired data;
when the sensor state of the first sensor is not the preset running state and the sensor state of the second sensor is the preset running state, acquiring second acquired data of the second sensor;
and determining the current sample suction state according to the second acquired data.
Optionally, the determining the front sampling state according to the first sampling data includes:
acquiring a sample-free signal threshold;
detecting whether the detection value of the detection point is lower than the sample-free signal threshold value or not in the detection points of the first sample-absorbing data;
when the detection value of the detection point in the detection points of the first sample sucking data is lower than the no-sample signal threshold value, determining a no-sample detection point;
determining sample-free time information according to the sample-free detection points;
and determining the front sampling state according to the sample-free time information.
Optionally, the determining the front sampling state according to the sampling-free time information includes:
determining a plurality of continuous sample-free time periods and sample-free starting moments according to the sample-free time information;
when the continuous sample-free time periods with the sample-free time periods larger than the sample-free time threshold exist in each continuous sample-free time period, determining that the front sample-sucking state is a sample-free state;
determining a sample starting moment according to the first sample sucking data;
and when the sample-free starting moment is positioned after the moment of the sample-containing starting moment, determining that the front sample sucking state is an airless column state.
Optionally, the determining the front sampling state according to the first sampling data includes:
acquiring a bubble signal threshold;
detecting whether the detection value of the detection point in the detection points of the first sample sucking data is lower than the bubble signal threshold value;
when the detection value of the detection point in the detection points of the first sample sucking data is lower than the bubble signal threshold value, determining a bubble detection point;
determining a bubble detection time period according to the bubble detection point;
and when the bubble detection time period is greater than the bubble time threshold, determining that the front sample suction state is a bubble state.
Optionally, the detecting the reagent status according to the reagent detection data, and determining the current reagent status includes:
acquiring a reagent bubble threshold;
detecting whether the voltage value of a detection point in detection points of the reagent detection data is lower than the reagent bubble threshold;
if the voltage value of the detection point in the detection point of the reagent detection data is lower than the reagent bubble threshold value, determining a reagent bubble detection point;
and determining a reagent bubble time period according to the reagent bubble detection point, and determining the current reagent state as a reagent bubble state if the reagent bubble time period exceeds a reagent bubble threshold.
Optionally, the determining the current reagent status according to the reagent detection data includes:
acquiring a reagent non-quantitative threshold;
detecting whether the voltage value of a detection point in detection points of the reagent detection data is lower than the reagent non-quantity threshold;
if the voltage value of the detection point in the detection points of the reagent detection data is lower than the reagent non-quantity threshold value, determining a reagent non-quantity detection point;
and determining a reagent non-quantitative time period according to the reagent non-quantitative detection point, and determining the current reagent state as a reagent non-quantitative state if the reagent non-quantitative time period exceeds a non-quantitative time threshold.
Optionally, after determining the sample injection detection result of the sample analyzer according to the current sample suction state and the current reagent state, the method further includes:
if the sample injection detection result is not in the preset normal running state, determining an abnormal sample injection state according to the current sample injection state and the current reagent state in the sample injection detection result;
determining fault processing information according to the abnormal sample injection state;
performing fault prompt according to the abnormal sample injection state and the fault processing information
In addition, in order to achieve the above object, the present invention also provides a sample injection detection device of a sample analyzer, the sample injection detection device of the sample analyzer includes:
the acquisition module is used for acquiring liquid flow state data acquired by a sample sensor positioned on the sample inlet pipe;
the detection module is used for detecting the sample suction state according to the liquid flow state data and determining the current sample suction state;
the acquisition module is also used for acquiring reagent detection data acquired by a reagent sensor positioned on the reagent sample pipe;
the detection module is also used for detecting the reagent state according to the reagent detection data and determining the current reagent state;
And the determining module is also used for determining a sample injection detection result of the sample analyzer according to the current sample suction state and the current reagent state.
In addition, in order to achieve the above objective, the present invention further provides a sample injection detection system of a sample analyzer, where the sample injection detection system of the sample analyzer includes a sample injection unit, a reagent injection unit, a status monitoring unit, and a sample injection detection device of the sample analyzer described above.
In addition, in order to achieve the above object, the present invention also provides a sample analyzer, which applies the sample injection detection method of the sample analyzer.
According to the invention, liquid flow state data acquired by a sample sensor positioned on a sample inlet pipe are acquired; detecting a sample suction state according to the liquid flow state data, and determining a current sample suction state; acquiring reagent detection data acquired by a reagent sensor positioned on a reagent sample line; detecting the reagent state according to the reagent detection data, and determining the current reagent state; and determining a sample injection detection result of a sample analyzer according to the current sample suction state and the current reagent state. By the method, the current sample suction state of the sample analyzer is determined by utilizing the liquid flow state data acquired by the sample sensor, the current reagent state of the sample analyzer is determined by utilizing the reagent detection data acquired by the reagent sensor, the real-time monitoring and accurate analysis of the sample injection state of the sample analyzer are realized, and timely response can be realized when the sample injection state of the sample analyzer fails, so that the sample injection efficiency is improved, the detection precision and accuracy of the subsequent sample detection are ensured, and the user experience is improved.
Drawings
FIG. 1 is a flow chart of a sample injection detection method of a sample analyzer according to a first embodiment of the present invention;
FIG. 2 is a diagram of a sample analyzer sample detection system according to an embodiment of the sample analyzer sample detection method of the present invention;
FIG. 3 is a flow chart of a sample detection method of a sample analyzer according to a second embodiment of the present invention;
FIG. 4 is a schematic diagram showing a sample sensor distribution of an embodiment of a sample detection method of a sample analyzer according to the present invention;
FIG. 5 is a flow chart of a third embodiment of a sample detection method of the sample analyzer of the present invention;
FIG. 6 is a schematic diagram showing a distribution of reagent sensors according to an embodiment of a sample detection method of the sample analyzer of the present invention;
fig. 7 is a block diagram of a sample injection detection device of a sample analyzer according to a first embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the invention provides a sample injection detection method of a sample analyzer, and referring to fig. 1, fig. 1 is a flow chart of a first embodiment of the sample injection detection method of the sample analyzer.
In this embodiment, the sample injection detection method of the sample analyzer is applied to a sample analyzer, the sample analyzer includes a sample injection detection system of the sample analyzer, and the sample injection detection system of the sample analyzer is shown in fig. 2, and includes a sample injection unit, a reagent injection unit, a status monitoring unit, and a sample injection detection device of the sample analyzer. The sample sampling unit comprises a sample sampling pipeline, a sample sampling barrel, a blood separating valve and the like, the reagent sampling unit comprises a reagent sampling pipeline, a reagent sampling barrel and the like, and the state monitoring unit comprises a first sensor positioned at the front section of the blood separating valve of the sample sampling pipeline, a second sensor positioned at the rear end of the blood separating valve of the sample sampling pipeline and a reagent sensor positioned on the reagent sampling pipeline. The first sensor and the second sensor may be one or more of an optocoupler sensor, a flow sensor, and a pressure sensor. The reagent sensor may be a detection optocoupler, which may be reflective or reflective, and the embodiment is not limited thereto.
The sample injection detection method of the sample analyzer comprises the following steps:
step S10: liquid flow state data acquired by a sample sensor located on a sample inlet line is acquired.
It should be noted that, the execution body of the embodiment may be a sample injection detection device of the sample analyzer, or may be other devices or apparatuses capable of implementing the same or similar functions, which is not limited in this embodiment, and the sample injection detection device of the sample analyzer is taken as an example for illustration.
It can be understood that the sample injection detection device of the sample analyzer is connected with the sample injection unit, the reagent injection unit and the status monitoring unit in a wired or wireless manner, which is not limited in this embodiment.
In a specific implementation, faults of the sample analyzer generally comprise two types, and an alarm type fault is generally that a functional module of the sample analyzer is abnormal, and for the fault, because the functional module is integrated in the sample analyzer, a user or an administrator is generally not allowed to disassemble the machine for fault treatment, and therefore, the fault is generally automatically eliminated in a software maintenance mode; specifically, the sample analyzer detects the working state of the functional module through the sensor, generates a fault code when detecting signal jump or long-time signal abnormality, and alarms and reminds on a display interface, wherein the alarm and reminds comprise a fault name, fault description, possible reasons and parts of the fault, and the like. The other type is an information type fault, unlike an alarm type fault, which is generally a fault that cannot be eliminated by a machine automation operation, needs to be manually handled, and does not need to be disassembled. The information-based faults generally include two types, one is an abnormal fault of a detection result (i.e., an abnormal parameter identified by software or an algorithm), and the other is an abnormal signal detected by a sensor, and may include an abnormal condition such as a sucking process and a reagent sucking process, for example, a reagent exhaustion and a sample sucking abnormality.
In this embodiment, in order to solve the abnormal signal faults detected by the sensor in the information faults, a sample detection method of the sample analyzer is provided, where the sample sensor includes a first sensor located at a front section of a blood separating valve of a sample injection pipeline and a second sensor located at a rear end of the blood separating valve of the sample injection pipeline.
It can be understood that when the first sensor and the second sensor are both in the normal operation state, the sensor data collected by the first sensor and the sensor data collected by the second sensor together form the liquid flow state data; when the first sensor fails and the second sensor is in a normal running state, the sensor data collected by the second sensor are liquid flow state data; when the first sensor is in a normal running state and the second sensor fails, the sensor data collected by the first sensor are liquid flow state data. The sample introduction pipeline refers to a pipeline through which a blood sample is sucked when sample detection is performed.
In a specific implementation, when the sample sensor starts sample detection and sample injection, the signal in the sample injection pipeline starts to be detected, and the signal in the sample injection pipeline ends to be detected when the sample detection ends.
Step S20: and detecting the sample suction state according to the liquid flow state data, and determining the current sample suction state.
It should be noted that, because the liquid flow state data is the data obtained by collecting the signal in the sample injection pipeline, the state analysis can be performed according to the liquid flow state data, so as to determine the state of the liquid flow in the pipeline when the sample is sucked in the sample detection, and the state of the liquid flow in the pipeline when the sample is sucked is the current sample suction state, and the current sample suction state includes a gas column-free state, a bubble state, a sample-free state and a normal sample-taking state. The airless condition refers to the absence of an isolated column of air prior to drawing the blood sample, and prior to the flow of the sample introduction line (i.e., the blood sample). When the sample is detected, the cleaning liquid is firstly sucked before the blood sample to clean the sampling needle or the pipeline, then a section of air is sucked to be used as an isolation air column, and the blood sample is sucked after the isolation air column, so that the blood sample is prevented from being polluted or diluted. The bubble state refers to the existence of bubbles in the sample flowing through the sample sensor in the sample injection pipeline. The no-sample state refers to the absence of a sample in the sample introduction line, i.e., no signal of a blood sample is detected. The normal sampling state refers to the presence of an isolated column of air prior to sample introduction and no bubbles in the sample.
Step S30: reagent detection data acquired by a reagent sensor located on a reagent sample line is acquired.
The reagent sample injection line refers to a line through which a reagent is sucked when a sample is detected. The reagent includes, but is not limited to, at least one of a hemolyzing agent and a diluent. The reagent sensor is a detection optocoupler, and the detection optocoupler can be a reflection optocoupler or a correlation optocoupler. When the reagent sensor starts sample detection and reagent injection, the signal in the reagent injection pipeline starts to be detected, and the signal in the reagent injection pipeline ends to be detected when the sample detection is finished. The signals collected by the reagent sensor are the reagent detection data.
Step S40: and detecting the reagent state according to the reagent detection data, and determining the current reagent state.
It should be noted that, because the reagent detection data is the data obtained by collecting the signals in the reagent sample injection pipeline, the optical signals detected by the detection optocouplers are different in different reagent states, so that the state analysis can be performed according to the reagent detection data, the state of the reagent in the pipeline when the reagent is sucked in the sample detection can be determined, the state of the reagent in the pipeline when the reagent is sucked is the current reagent state, and the current reagent state comprises a reagent non-quantity state, a reagent bubble state and a reagent normal state. The reagent-free state refers to the absence of a reagent in the reagent injection line, i.e., no signal of the reagent is detected. The reagent bubble state refers to the existence of bubbles in the reagent flowing through the reagent sensor in the reagent sample injection pipeline. The normal state of the reagent means that the reagent is continuously present in the reagent injection pipeline and no bubbles are present in the reagent.
Step S50: and determining a sample injection detection result of a sample analyzer according to the current sample suction state and the current reagent state.
After determining the current sample-absorbing state and the current reagent state, the current sample-absorbing state and the current reagent state are sample-injecting detection results of the sample analyzer during sample detection.
It can be appreciated that, in order to ensure that the user or the administrator can find the sample injection fault in time, further, after determining the sample injection detection result of the sample analyzer according to the current sample suction state and the current reagent state, the method further includes: if the sample injection detection result is not in the preset normal running state, determining an abnormal sample injection state according to the current sample injection state and the current reagent state in the sample injection detection result; determining fault processing information according to the abnormal sample injection state; and carrying out fault prompt according to the abnormal sample injection state and the fault processing information.
In a specific implementation, when the current sample suction state is not a normal sample state or the current reagent state is not a reagent normal state or the current sample suction state is not a normal sample state and the current reagent state is not a reagent normal state in the sample injection detection result, the sample injection detection result is not a preset normal running state; and when the current sample suction state is a normal sample collection state and the current reagent state is a reagent normal state in the sample injection detection result, the sample injection detection result is a preset normal running state.
The abnormal sample injection state refers to a state other than the normal state and the normal sample injection state of the reagent. Any one of the bubble state, the sample-free state, the gas column-free state, the reagent-free state and the reagent bubble state is an abnormal sample-injection state. Different abnormal sample states may be caused by different fault types, corresponding fault types can be searched in the fault mapping table according to the abnormal sample states, and fault processing information is generated according to the fault types and processing methods corresponding to the fault types. And sending fault processing information and an abnormal sample injection state to a display interface, and carrying out fault prompt on a user or an administrator. For example, when the current sample sucking state is any one of a bubble state, a no sample state and a no gas column state, the abnormal sample sucking state is the insufficient sample sucking state, and possible reasons include blood clots in blood samples, excessive viscosity of the current batch of blood samples, blockage of a puncture needle, occurrence of bubbles in a pipeline and the like, and the treatment method can be to replace or clean the puncture needle or the pipeline for eliminating the faults. The reagent-free state and the reagent bubble state are also abnormal sample injection states, and possible reasons of the reagent-free state include pipeline joint breakage, pipeline leakage, reagent-free of a reagent barrel and the like, and the treatment method can be to clean a pipeline or replace the reagent to eliminate faults.
The embodiment obtains liquid flow state data acquired by a sample sensor positioned on a sample inlet pipe; detecting a sample suction state according to the liquid flow state data, and determining a current sample suction state; acquiring reagent detection data acquired by a reagent sensor positioned on a reagent sample line; detecting the reagent state according to the reagent detection data, and determining the current reagent state; and determining a sample injection detection result of a sample analyzer according to the current sample suction state and the current reagent state. By the method, the current sample suction state of the sample analyzer is determined by utilizing the liquid flow state data acquired by the sample sensor, the current reagent state of the sample analyzer is determined by utilizing the reagent detection data acquired by the reagent sensor, the real-time monitoring and accurate analysis of the sample injection state of the sample analyzer are realized, and timely response can be realized when the sample injection state of the sample analyzer fails, so that the sample injection efficiency is improved, the detection precision and accuracy of the subsequent sample detection are ensured, and the user experience is improved.
Referring to fig. 3, fig. 3 is a flow chart of a second embodiment of a sample injection detection method of the sample analyzer according to the present invention.
Based on the first embodiment, in the sample injection detection method of the sample analyzer of this embodiment, the sample sensor includes a first sensor located at a front end of a blood separating valve of the sample injection pipeline and a second sensor located at a rear end of the blood separating valve;
it should be noted that, the distribution schematic diagram of the sample sensor is shown in fig. 4, the first sensor is located at the front end of the blood dividing valve of the sample feeding pipeline and is used for detecting the state of the liquid flow in the sample feeding pipeline before entering the blood dividing valve, and the second sensor is located at the rear end of the blood dividing valve of the sample feeding pipeline and is used for detecting the state of the liquid flow in the sample feeding pipeline after passing through the blood dividing valve.
The step S20 includes:
step S21: the sensor state of the first sensor and the sensor state of the second sensor are acquired.
It should be noted that, the sample injection detection device of the sample analyzer can monitor the states of the first sensor and the second sensor, and the monitoring mode of the states can be through identifying the state identifiers reflecting the states of the sensors, and the different state identifiers correspond to different states, so that the states of the first sensor and the second sensor are determined. The sensor states include normal operating states and fault states. The sensor states of the first sensor and the second sensor may also be determined by other means, which is not limited in this embodiment.
It may be appreciated that, to ensure accurate analysis of the current sample suction state, further, after the acquiring the sensor state of the first sensor and the sensor state of the second sensor, the method further includes: when the sensor state of the first sensor is a preset running state and the sensor state of the second sensor is not the preset running state, acquiring first acquired data of the first sensor; determining a current sample suction state according to the first acquired data; when the sensor state of the first sensor is not the preset running state and the sensor state of the second sensor is the preset running state, acquiring second acquired data of the second sensor; and determining the current sample suction state according to the second acquired data.
In specific implementation, the preset operation state refers to that the sensor state is a normal operation state, and when the sensor state of the first sensor is the preset operation state and the sensor state of the second sensor is the fault state, the sensor data collected by the first sensor is obtained, the sensor data collected by the first sensor is first collected data, and the liquid flow state data is also only the first collected data. At this time, the current sample suction state is judged only according to the first acquired data.
When the sensor state of the first sensor is a fault state and the sensor state of the second sensor is a preset running state, acquiring sensor data acquired by the second sensor, wherein the sensor data acquired by the second sensor is second acquired data, and the liquid flow state data is only the second acquired data. At the moment, the current sample suction state is judged only according to the second acquired data.
Step S22: and when the sensor state of the first sensor and the sensor state of the second sensor are both in a preset running state, acquiring first sample sucking data acquired by the first sensor and second sample sucking data acquired by the second sensor.
When the sensor state of the first sensor and the sensor state of the second sensor are both in a preset running state, the sensor data collected by the first sensor and the sensor data collected by the second sensor are obtained, the sensor data collected by the first sensor is first sample sucking data, and the sensor data collected by the second sensor is second sample sucking data.
Step S23: and determining a front sampling state according to the first sampling data, and determining a rear sampling state according to the second sampling data.
It should be noted that the front sample-sucking state refers to a liquid flow state in the sample-feeding pipeline before entering the blood dividing valve, and the rear sample-sucking state refers to a liquid flow state in the sample-feeding pipeline after passing through the blood dividing valve. The front sampling state and the rear sampling state comprise an airless column state, a bubble state, a sampling-free state and a normal sampling state.
It may be appreciated that, to determine the front sampling state according to the first sampling data, further, the determining the front sampling state according to the first sampling data includes: acquiring a sample-free signal threshold; detecting whether the detection value of the detection point is lower than the sample-free signal threshold value or not in the detection points of the first sample-absorbing data; when the detection value of the detection point in the detection points of the first sample sucking data is lower than the no-sample signal threshold value, determining a no-sample detection point; determining sample-free time information according to the sample-free detection points; and determining the front sampling state according to the sample-free time information.
In a specific implementation, the no-sample signal threshold refers to a signal threshold when no sample exists in the set sample injection pipeline. Detecting whether a detection value of a detection point in the first sample sucking data is lower than a sample-free signal threshold value, determining a corresponding detection point when the detection value of the detection point in the detection point is lower than the sample-free signal threshold value, wherein the detection point with the detection value lower than the sample-free signal threshold value is the sample-free detection point, acquiring detection time corresponding to the sample-free detection point, and the detection time corresponding to the sample-free detection point is sample-free time information.
It should be noted that, in order to determine an accurate front sampling state according to the sample-free time information, further, the determining the front sampling state according to the sample-free time information includes: determining a plurality of continuous sample-free time periods and sample-free starting moments according to the sample-free time information; when the continuous sample-free time periods with the sample-free time periods larger than the sample-free time threshold exist in each continuous sample-free time period, determining that the front sample-sucking state is a sample-free state; determining a sample starting moment according to the first sample sucking data; and when the sample-free starting moment is positioned after the moment of the sample-containing starting moment, determining that the front sample sucking state is an airless column state.
It can be understood that when the sample-free detection point exists, it is indicated that the front sample-sucking state may be the sample-free state or the air column-free state, so that the front sample-sucking state needs to be accurately determined according to the sample-free time information.
In a specific implementation, according to a plurality of sample-free time information determined by the sample-free detection points, a continuous sample-free time period formed by the sample-free time information is determined, and at the same time, the sample-free time information corresponding to the first sample-free detection point is the sample-free starting time. The sample-free time threshold refers to a predetermined period of time in which no sample is present.
When there is a continuous sample-free period greater than the sample-free time threshold value among the plurality of continuous sample-free periods, the front sample-sucking state is described as the sample-free state. For example, when sample detection is started, and no sample exists in the sample sampling barrel, a continuous sample-free time period exists, and the continuous sample-free time period is necessarily greater than a sample-free time threshold value; in the sample detection process, when the samples in the sample sampling barrel are completely taken out, one or two continuous sample-free time periods exist, when one continuous sample-free time period exists and exceeds a sample-free time threshold value, the front sample-sucking state is indicated to be in a gas column-free state and a sample-free state, and when two continuous sample-free time periods exist and the subsequent continuous sample-free time period exceeds the sample-free time threshold value, the front sample-sucking state is indicated to be in the sample-free state.
It can be understood that, according to the detection point of the first sample sucking data, the detection point of which the first detection value is not lower than the no-sample signal threshold is determined, and the detection time corresponding to the detection point of which the first detection value is not lower than the no-sample signal threshold is the sample starting time, at this time, the sample is detected in the sample sampling pipeline. When the sample-free starting moment is positioned after the sample-containing starting moment, the fact that the sample is detected in the sample feeding pipeline at the beginning is indicated, and the front sample sucking state is determined to be the air column-free state.
In a specific implementation, in order to accurately detect the bubble state, further, the determining the front sample suction state according to the first sample suction data includes: acquiring a bubble signal threshold; detecting whether the detection value of the detection point in the detection points of the first sample sucking data is lower than the bubble signal threshold value; when the detection value of the detection point in the detection points of the first sample sucking data is lower than the bubble signal threshold value, determining a bubble detection point; determining a bubble detection time period according to the bubble detection point; and when the bubble detection time period is greater than the bubble time threshold, determining that the front sample suction state is a bubble state.
It should be noted that the bubble signal threshold refers to a signal threshold when bubbles exist in a sample in a set sample injection pipeline. When the detection value of the detection point in the detection points of the first sample sucking data is lower than the bubble signal threshold value, determining the corresponding detection point, wherein the detection point with the detection value lower than the bubble signal threshold value is the bubble detection point, acquiring the detection time corresponding to the bubble detection point, and the time period consisting of the detection time corresponding to the bubble detection point is the bubble detection time period.
It is understood that the bubble time threshold refers to a predetermined period of time during which bubbles are present in the sample. In order to avoid false detection, a bubble time threshold needs to be set, and when the bubble detection time period is greater than the bubble time threshold, the front sample suction state is indicated to be a bubble state.
Step S24: and comparing the front sampling state with the rear sampling state to determine the current sampling state.
When the sensor states of the first sensor and the second sensor are both normal operation states, the front sample suction state and the rear sample suction state are combined to jointly determine the current sample suction state. For example, when the front sampling state is a non-air column state and the rear sampling state is a normal sampling state, the current sampling state is a non-air column state; when the front sampling state and the rear sampling state are both bubble states, the current sampling state is the bubble state.
The embodiment obtains the sensor state of the first sensor and the sensor state of the second sensor; when the sensor state of the first sensor and the sensor state of the second sensor are both in a preset running state, acquiring first sample sucking data acquired by the first sensor and second sample sucking data acquired by the second sensor; determining a front sampling state according to the first sampling data, and determining a rear sampling state according to the second sampling data; and comparing the front sampling state with the rear sampling state to determine the current sampling state. Through the mode, the sensor states of the first sensor and the second sensor are determined, and when the sensor states are both preset running states, the current sample suction state is judged according to the first sample suction data and the second sample suction data, so that the accuracy of sample injection state detection is guaranteed.
Referring to fig. 5, fig. 5 is a flow chart of a second embodiment of a sample injection detection method of the sample analyzer according to the present invention.
Based on the above embodiment, in the sample injection detection method of the sample analyzer of this embodiment, a distribution schematic diagram of the reagent sensor is shown in fig. 6, the reagent sensor is located on the reagent sample tube, and the step S40 includes:
step S41: a reagent bubble threshold is obtained.
The reagent bubble threshold refers to a signal threshold value when bubbles exist in a reagent in a set reagent sample injection pipeline.
Step S42: detecting whether the voltage value of the detection point in the detection points of the reagent detection data is lower than the reagent bubble threshold.
Step S43: and if the voltage value of the detection point in the detection points of the reagent detection data is lower than the threshold value of the reagent bubble, determining the detection point of the reagent bubble.
When the voltage value of the detection point is lower than the reagent bubble threshold value among the detection points of the reagent detection data, the corresponding detection point is determined, and the detection point with the voltage value lower than the reagent bubble threshold value is the reagent bubble detection point.
Step S44: and determining a reagent bubble time period according to the reagent bubble detection point, and determining the current reagent state as a reagent bubble state if the reagent bubble time period exceeds a reagent bubble threshold.
The detection time corresponding to the reagent bubble detection point is obtained, and the time period consisting of the detection time corresponding to the reagent bubble detection point is the reagent bubble time period.
It is understood that the reagent bubble threshold refers to a predetermined period of time in which bubbles are present in the reagent. In order to avoid false detection, a reagent bubble threshold needs to be set, and when the reagent bubble time period is greater than the reagent bubble threshold, the current reagent state is the reagent bubble state.
It will be appreciated that, in order to achieve accurate detection of a reagent-free state, further, the determining the current reagent state from the reagent detection data includes: acquiring a reagent non-quantitative threshold; detecting whether the voltage value of a detection point in detection points of the reagent detection data is lower than the reagent non-quantity threshold; if the voltage value of the detection point in the detection points of the reagent detection data is lower than the reagent non-quantity threshold value, determining a reagent non-quantity detection point; and determining a reagent non-quantitative time period according to the reagent non-quantitative detection point, and determining the current reagent state as a reagent non-quantitative state if the reagent non-quantitative time period exceeds a non-quantitative time threshold.
In a specific implementation, the reagent-free threshold refers to a voltage threshold value when no reagent is present in the set reagent injection line. When the voltage value of the detection point is lower than the reagent inordinate threshold value in the detection points of the reagent detection data, determining the corresponding detection point, wherein the detection point with the voltage value lower than the reagent inordinate threshold value is the reagent inordinate detection point, acquiring the detection time corresponding to the reagent inordinate detection point, and the time period formed by the detection time corresponding to the reagent inordinate detection point is the reagent inordinate time period.
The non-quantitative time threshold is a set time period in which no reagent is present, and when the reagent non-quantitative time period exceeds the non-quantitative time threshold, the current reagent state is determined to be a reagent non-quantitative state.
It can be understood that, because the sample analyzer is a closed type, i.e. the sample analyzer can only match the corresponding reagent in order to ensure the detection effect, when the reagent is loaded, the barcode of the reagent needs to be scanned by the scanner, the available times and the reagent amount are recorded on the barcode of the reagent, after the sample detection is completed once, the reagent is consumed, and the reagent metering allowance corresponding to the current barcode recorded in the sample analyzer is also reduced. Therefore, when the reagent in the reagent bucket is used up and the unused reagent still exists in the reagent bucket, new reagent metering is needed to be added in a way of manually scanning a new bar code, otherwise, sample injection is stopped, and an alarm reminds a user that the reagent allowance is insufficient for timely treatment.
In specific implementation, when the using time of the reagent exceeds the effective period after the bottle is opened or the effective period of printing on the reagent bottle, the sample analyzer also gives an alarm, prohibits the operation of sucking the reagent, and reminds a user of replacing the expired reagent to eliminate the fault; when the use time of the reagent exceeds the effective period after the bottle is opened and the reagent metering of the reagent is not finished, the sample analyzer can eliminate the reagent metering allowance of the current use time exceeding the effective period after the bottle is opened after replacing the unexpired reagent, bind the information with the replaced new reagent and write the information into the reagent metering allowance. The writing mode may be manually input, or related information may be written into the reagent bottle with the RFID chip on the reagent bottle by the scanning device, and the writing mode is not limited in this embodiment.
The embodiment obtains a reagent bubble threshold; detecting whether the voltage value of a detection point in detection points of the reagent detection data is lower than the reagent bubble threshold; if the voltage value of the detection point in the detection point of the reagent detection data is lower than the reagent bubble threshold value, determining a reagent bubble detection point; and determining a reagent bubble time period according to the reagent bubble detection point, and determining the current reagent state as a reagent bubble state if the reagent bubble time period exceeds a reagent bubble threshold. By the method, the reagent detection data is detected through the reagent bubble threshold value, so that the accuracy of reagent bubble state determination can be ensured according to the detection result.
Referring to fig. 7, fig. 7 is a block diagram illustrating a sample injection detection device of a sample analyzer according to a first embodiment of the present invention.
As shown in fig. 7, a sample injection detection device of a sample analyzer according to an embodiment of the present invention includes:
an acquisition module 10 for acquiring fluid flow condition data acquired by a sample sensor located on a sample line.
And the detection module 20 is used for detecting the sample suction state according to the liquid flow state data and determining the current sample suction state.
The acquisition module 10 is further used for acquiring reagent detection data acquired by a reagent sensor positioned on a reagent sample tube.
The detection module 20 is further configured to detect a reagent status according to the reagent detection data, and determine a current reagent status.
The determining module 30 is further configured to determine a sample injection detection result of the sample analyzer according to the current sample suction state and the current reagent state.
The embodiment obtains liquid flow state data acquired by a sample sensor positioned on a sample inlet pipe; detecting a sample suction state according to the liquid flow state data, and determining a current sample suction state; acquiring reagent detection data acquired by a reagent sensor positioned on a reagent sample line; detecting the reagent state according to the reagent detection data, and determining the current reagent state; and determining a sample injection detection result of a sample analyzer according to the current sample suction state and the current reagent state. By the method, the current sample suction state of the sample analyzer is determined by utilizing the liquid flow state data acquired by the sample sensor, the current reagent state of the sample analyzer is determined by utilizing the reagent detection data acquired by the reagent sensor, the real-time monitoring and accurate analysis of the sample injection state of the sample analyzer are realized, and timely response can be realized when the sample injection state of the sample analyzer fails, so that the sample injection efficiency is improved, the detection precision and accuracy of the subsequent sample detection are ensured, and the user experience is improved.
In an embodiment, the detection module 20 is further configured to obtain a sensor state of the first sensor and a sensor state of the second sensor;
when the sensor state of the first sensor and the sensor state of the second sensor are both in a preset running state, acquiring first sample sucking data acquired by the first sensor and second sample sucking data acquired by the second sensor;
determining a front sampling state according to the first sampling data, and determining a rear sampling state according to the second sampling data;
and comparing the front sampling state with the rear sampling state to determine the current sampling state.
In an embodiment, the detection module 20 is further configured to obtain the first collected data of the first sensor when the sensor state of the first sensor is a preset operation state and the sensor state of the second sensor is not the preset operation state;
determining a current sample suction state according to the first acquired data;
when the sensor state of the first sensor is not the preset running state and the sensor state of the second sensor is the preset running state, acquiring second acquired data of the second sensor;
and determining the current sample suction state according to the second acquired data.
In an embodiment, the detection module 20 is further configured to obtain a no-sample signal threshold;
detecting whether the detection value of the detection point is lower than the sample-free signal threshold value or not in the detection points of the first sample-absorbing data;
when the detection value of the detection point in the detection points of the first sample sucking data is lower than the no-sample signal threshold value, determining a no-sample detection point;
determining sample-free time information according to the sample-free detection points;
and determining the front sampling state according to the sample-free time information.
In an embodiment, the detection module 20 is further configured to determine a plurality of consecutive sample-free time periods and sample-free start moments according to the sample-free time information;
when the continuous sample-free time periods with the sample-free time periods larger than the sample-free time threshold exist in each continuous sample-free time period, determining that the front sample-sucking state is a sample-free state;
determining a sample starting moment according to the first sample sucking data;
and when the sample-free starting moment is positioned after the moment of the sample-containing starting moment, determining that the front sample sucking state is an airless column state.
In an embodiment, the detection module 20 is further configured to obtain a bubble signal threshold;
detecting whether the detection value of the detection point in the detection points of the first sample sucking data is lower than the bubble signal threshold value;
When the detection value of the detection point in the detection points of the first sample sucking data is lower than the bubble signal threshold value, determining a bubble detection point;
determining a bubble detection time period according to the bubble detection point;
and when the bubble detection time period is greater than the bubble time threshold, determining that the front sample suction state is a bubble state.
In one embodiment, the detection module 20 is further configured to obtain a reagent bubble threshold;
detecting whether the voltage value of a detection point in detection points of the reagent detection data is lower than the reagent bubble threshold;
if the voltage value of the detection point in the detection point of the reagent detection data is lower than the reagent bubble threshold value, determining a reagent bubble detection point;
and determining a reagent bubble time period according to the reagent bubble detection point, and determining the current reagent state as a reagent bubble state if the reagent bubble time period exceeds a reagent bubble threshold.
In one embodiment, the detection module 20 is further configured to obtain a reagent-free threshold;
detecting whether the voltage value of a detection point in detection points of the reagent detection data is lower than the reagent non-quantity threshold;
if the voltage value of the detection point in the detection points of the reagent detection data is lower than the reagent non-quantity threshold value, determining a reagent non-quantity detection point;
And determining a reagent non-quantitative time period according to the reagent non-quantitative detection point, and determining the current reagent state as a reagent non-quantitative state if the reagent non-quantitative time period exceeds a non-quantitative time threshold.
In an embodiment, the determining module 30 is further configured to determine an abnormal sample injection state according to the current sample suction state and the current reagent state in the sample injection detection result if the sample injection detection result is not the preset normal operation state;
determining fault processing information according to the abnormal sample injection state;
and carrying out fault prompt according to the abnormal sample injection state and the fault processing information.
In addition, in order to achieve the above objective, the present invention further provides a sample injection detection system of a sample analyzer, which includes a sample injection unit, a reagent injection unit, a status monitoring unit, and a sample injection detection device of the sample analyzer as described above.
Because the system adopts all the technical schemes of all the embodiments, the system at least has all the beneficial effects brought by the technical schemes of the embodiments, and the description is omitted herein.
In addition, the embodiment of the invention also provides a sample analyzer, and the sample analyzer applies the sample injection detection method of the sample analyzer.
The sample analyzer adopts all the technical schemes of all the embodiments, so that the sample analyzer has at least all the beneficial effects brought by the technical schemes of the embodiments, and is not described in detail herein.
It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the invention as desired, and the invention is not limited thereto.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in the present embodiment may refer to the sample injection detection method of the sample analyzer provided in any embodiment of the present invention, which is not described herein.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory)/RAM, magnetic disk, optical disk) and including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (12)
1. The sample injection detection method of the sample analyzer is characterized by comprising the following steps of:
acquiring liquid flow state data acquired by a sample sensor positioned on a sample inlet pipe;
detecting a sample suction state according to the liquid flow state data, and determining a current sample suction state;
acquiring reagent detection data acquired by a reagent sensor positioned on a reagent sample line;
detecting the reagent state according to the reagent detection data, and determining the current reagent state;
and determining a sample injection detection result of a sample analyzer according to the current sample suction state and the current reagent state.
2. The sample injection detection method of the sample analyzer of claim 1, wherein the sample sensor comprises a first sensor positioned at a front end of a blood separation valve of the sample injection line and a second sensor positioned at a rear end of the blood separation valve;
detecting the sample suction state according to the liquid flow state data, and determining the current sample suction state comprises the following steps:
acquiring a sensor state of the first sensor and a sensor state of the second sensor;
when the sensor state of the first sensor and the sensor state of the second sensor are both in a preset running state, acquiring first sample sucking data acquired by the first sensor and second sample sucking data acquired by the second sensor;
Determining a front sampling state according to the first sampling data, and determining a rear sampling state according to the second sampling data;
and comparing the front sampling state with the rear sampling state to determine the current sampling state.
3. The method for detecting sample injection of a sample analyzer according to claim 2, further comprising, after the acquiring of the sensor state of the first sensor and the sensor state of the second sensor:
when the sensor state of the first sensor is a preset running state and the sensor state of the second sensor is not the preset running state, acquiring first acquired data of the first sensor;
determining a current sample suction state according to the first acquired data;
when the sensor state of the first sensor is not the preset running state and the sensor state of the second sensor is the preset running state, acquiring second acquired data of the second sensor;
and determining the current sample suction state according to the second acquired data.
4. The sample injection detection method of claim 2, wherein the determining the front sample injection state according to the first sample injection data comprises:
Acquiring a sample-free signal threshold;
detecting whether the detection value of the detection point is lower than the sample-free signal threshold value or not in the detection points of the first sample-absorbing data;
when the detection value of the detection point in the detection points of the first sample sucking data is lower than the no-sample signal threshold value, determining a no-sample detection point;
determining sample-free time information according to the sample-free detection points;
and determining the front sampling state according to the sample-free time information.
5. The method for detecting sample injection of a sample analyzer according to claim 4, wherein determining the front sample suction state according to the sample-free time information comprises:
determining a plurality of continuous sample-free time periods and sample-free starting moments according to the sample-free time information;
when the continuous sample-free time periods with the sample-free time periods larger than the sample-free time threshold exist in each continuous sample-free time period, determining that the front sample-sucking state is a sample-free state;
determining a sample starting moment according to the first sample sucking data;
and when the sample-free starting moment is positioned after the moment of the sample-containing starting moment, determining that the front sample sucking state is an airless column state.
6. The sample injection detection method of claim 2, wherein the determining the front sample injection state according to the first sample injection data comprises:
Acquiring a bubble signal threshold;
detecting whether the detection value of the detection point in the detection points of the first sample sucking data is lower than the bubble signal threshold value;
when the detection value of the detection point in the detection points of the first sample sucking data is lower than the bubble signal threshold value, determining a bubble detection point;
determining a bubble detection time period according to the bubble detection point;
and when the bubble detection time period is greater than the bubble time threshold, determining that the front sample suction state is a bubble state.
7. The sample injection detection method of the sample analyzer according to claim 1, wherein the detecting the reagent state based on the reagent detection data, determining the current reagent state, comprises:
acquiring a reagent bubble threshold;
detecting whether the voltage value of a detection point in detection points of the reagent detection data is lower than the reagent bubble threshold;
if the voltage value of the detection point in the detection point of the reagent detection data is lower than the reagent bubble threshold value, determining a reagent bubble detection point;
and determining a reagent bubble time period according to the reagent bubble detection point, and determining the current reagent state as a reagent bubble state if the reagent bubble time period exceeds a reagent bubble threshold.
8. The sample injection detection method of the sample analyzer of claim 1, wherein the determining the current reagent state from the reagent detection data comprises:
acquiring a reagent non-quantitative threshold;
detecting whether the voltage value of a detection point in detection points of the reagent detection data is lower than the reagent non-quantity threshold;
if the voltage value of the detection point in the detection points of the reagent detection data is lower than the reagent non-quantity threshold value, determining a reagent non-quantity detection point;
and determining a reagent non-quantitative time period according to the reagent non-quantitative detection point, and determining the current reagent state as a reagent non-quantitative state if the reagent non-quantitative time period exceeds a non-quantitative time threshold.
9. The sample injection detection method of a sample analyzer according to any one of claims 1 to 8, wherein after determining a sample injection detection result of the sample analyzer according to the current sample injection state and the current reagent state, further comprising:
if the sample injection detection result is not in the preset normal running state, determining an abnormal sample injection state according to the current sample injection state and the current reagent state in the sample injection detection result;
determining fault processing information according to the abnormal sample injection state;
And carrying out fault prompt according to the abnormal sample injection state and the fault processing information.
10. A sample introduction detection device of a sample analyzer, the sample introduction detection device of the sample analyzer comprising:
the acquisition module is used for acquiring liquid flow state data acquired by a sample sensor positioned on the sample inlet pipe;
the detection module is used for detecting the sample suction state according to the liquid flow state data and determining the current sample suction state;
the acquisition module is also used for acquiring reagent detection data acquired by a reagent sensor positioned on the reagent sample pipe;
the detection module is also used for detecting the reagent state according to the reagent detection data and determining the current reagent state;
and the determining module is also used for determining a sample injection detection result of the sample analyzer according to the current sample suction state and the current reagent state.
11. A sample injection detection system of a sample analyzer, wherein the sample injection detection system of the sample analyzer comprises a sample injection unit, a reagent injection unit, a state monitoring unit, and the sample injection detection device of the sample analyzer according to claim 10.
12. A sample analyzer, characterized in that the sample analyzer comprises the sample analyzer sample detection system of claim 11 and performs the sample analyzer sample detection method of any of claims 1 to 9.
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