Sample analyzer and liquid dispensing abnormality identification method

Abstract

The embodiment of the invention discloses a sample analyzer and a liquid dispensing abnormity identification method. The sample analyzer can obtain pressure data of liquid separate injection and optical signal change data of the liquid separated injection in the reaction container, and the optical signal change data can represent the influence condition of the liquid in the reaction container on an optical signal of an incident light beam; therefore, whether liquid dispensing is abnormal or not can be judged by integrating multiple influence factors such as the pressure data and the optical signal change data, and false alarm or incapability of identifying the dispensing abnormality caused by judging whether the liquid dispensing is abnormal or not by depending on a single factor is avoided, so that the sensitivity and the specificity of identifying the liquid dispensing abnormality can be improved; and the accuracy and the reliability of liquid separate injection abnormity identification are improved.

Description

Technical Field

[0001] This application relates to the field of medical devices, specifically to a sample analyzer and a method for identifying abnormalities in liquid dispensing. Background Technology

[0002] A sample analyzer is used to detect and analyze biological samples. During sample detection and analysis, the aspiration needle in the sample analyzer is used to draw up the sample and / or reagents and inject the drawn sample and / or reagents into a reaction cup or test tube. Then, the analytical device of the sample analyzer detects and analyzes the reaction solution in the reaction cup or test tube.

[0003] When aspirating liquid with a needle, aspiration abnormalities such as needle blockage, empty aspiration, and foreign object aspiration may occur. Detection and alarm mechanisms for these abnormalities are crucial to prevent inaccurate sample test results. However, current methods for detecting aspiration abnormalities rely on a single factor, failing to balance sensitivity and specificity. For example, while specificity is prioritized to avoid false alarms, sensitivity may be compromised, resulting in the inability to identify aspiration abnormalities in certain scenarios. Summary of the Invention

[0004] This application provides a sample analyzer and a method for identifying abnormal liquid dispensing, which is used to comprehensively diagnose whether liquid dispensing is abnormal by considering multiple factors, thereby improving the sensitivity and specificity of identifying abnormal liquid dispensing.

[0005] The first aspect of this application provides a sample analyzer, including: a dispensing unit, a pressure detection device, a photoelectric detection device, and a processor;

[0006] The dispensing unit is used to dispense the target liquid into the reaction vessel;

[0007] The pressure detection device is used to acquire pressure data during the process of the dispensing unit dispensing the target liquid into the reaction vessel;

[0008] The photoelectric detection device is used to emit a light beam into the reaction vessel and collect the emitted light signal of the light beam from the mixture containing the target liquid in the reaction vessel, and obtain light signal change data based on the emitted light signal; the light signal change data is used to characterize the influence of the mixture in the reaction vessel on the signal of the light beam.

[0009] The processor is used to determine whether there is any abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on the pressure data and the light signal change data, and outputs the determination result.

[0010] A second aspect of this application provides a method for identifying abnormal liquid dispensing, the method being applied to a sample analyzer, the sample analyzer including: a dispensing unit, a pressure detection device, and a photoelectric detection device;

[0011] The method includes:

[0012] The dispensing unit is controlled to dispense the target liquid into the reaction vessel;

[0013] The pressure detection device is controlled to acquire pressure data during the process of the dispensing unit dispensing the target liquid into the reaction vessel;

[0014] The photoelectric detection device is controlled to emit a light beam toward the reaction vessel, and the emitted light signal of the light beam is collected from the mixture containing the target liquid in the reaction vessel. The light signal change data is obtained based on the emitted light signal. The light signal change data is used to characterize the influence of the mixture in the reaction vessel on the light beam signal.

[0015] Based on the pressure data and the light signal change data, determine whether there is any abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and output the judgment result.

[0016] As can be seen from the above technical solutions, the embodiments of this application have the following advantages:

[0017] The sample analyzer can acquire pressure data of liquid dispensing and optical signal change data of the liquid dispensing in the reaction vessel. The optical signal change data can characterize the influence of the liquid in the reaction vessel on the optical signal of the incident beam. Therefore, it can comprehensively judge whether the liquid dispensing is abnormal by combining multiple influencing factors such as pressure data and optical signal change data. This avoids relying on a single factor to judge whether the liquid dispensing is abnormal, which may lead to false alarms or failure to identify dispensing abnormalities. Thus, it can improve the sensitivity and specificity of liquid dispensing abnormality identification, and improve the accuracy and reliability of liquid dispensing abnormality identification. Attached Figure Description

[0018] Figure 1 This is an exemplary structural diagram of a sample analyzer in an embodiment of this application;

[0019] Figure 2 for Figure 1 A schematic diagram of an exemplary structure of some components included in the functional module 10 of the sample analyzer shown;

[0020] Figure 3 This is an exemplary structural diagram of some components included in the photoelectric detection device of the sample analyzer in the embodiments of this application;

[0021] Figure 4This is an exemplary structural diagram of some components included in the pressure detection device of the sample analyzer in the embodiments of this application;

[0022] Figure 5 This is an exemplary schematic diagram of several typical liquid suction pressure curves under various liquid dispensing scenarios in the embodiments of this application;

[0023] Figure 6 This is an exemplary schematic diagram of several typical drainage pressure curves under various liquid dispensing scenarios in the embodiments of this application;

[0024] Figure 7 This is an exemplary schematic diagram of several typical photoelectric data curves under various liquid dispensing scenarios in the embodiments of this application;

[0025] Figure 8 This is an exemplary schematic diagram of several typical absorbance curves under various liquid dispensing scenarios in the embodiments of this application;

[0026] Figure 9 This is an exemplary judgment rule diagram illustrating the determination of whether liquid dispensing is abnormal based on the detection conclusions of the combined pressure data and optical signal change data under various liquid dispensing scenarios in the embodiments of this application.

[0027] Figure 10 This is a flowchart illustrating the liquid dispensing anomaly identification method in an embodiment of this application. Detailed Implementation

[0028] This application provides a sample analyzer and a method for identifying abnormal liquid dispensing, which is used to comprehensively diagnose whether liquid dispensing is abnormal by considering multiple factors, thereby improving the sensitivity and specificity of identifying abnormal liquid dispensing.

[0029] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0030] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0031] Please see Figure 1 , Figure 1 This is a schematic diagram of a sample analyzer provided in an embodiment of this application. A sample analyzer is a device for measuring and analyzing samples. In some embodiments, the sample analyzer includes, but is not limited to, at least one of the following: a biochemical analyzer, an immunoassay analyzer, and a coagulation analyzer.

[0032] Before describing the present invention in detail, the structure of the sample analyzer in some embodiments will be explained first.

[0033] Please refer to Figure 1 One embodiment discloses a sample analyzer, including at least one functional module 10 (or one or more functional modules 10), an input module 20, a display module 30, a memory 40, a processor 50, and an alarm module 60, which are described below.

[0034] Each functional module 10 is used to perform at least one function required in the sample analysis process. These functional modules 10 work together to complete the sample analysis and obtain the results. Please refer to... Figure 2 This is an embodiment of a sample analyzer, in which some examples of functional module 10 are given. For example, functional module 10 may include sample component 11, sample dispensing mechanism 12, reagent component 13, reagent dispensing mechanism 14, mixing mechanism 15, reaction component 16, and detection device 17, etc.

[0035] The sample component 11 is used to carry the sample. In some examples, the sample component 11 may include a sample delivery module (SDM) and a front-end track; in other examples, the sample component 11 may also be a sample tray, which includes multiple sample positions for placing sample tubes, and the sample tray can be rotated to the corresponding position, such as the position for the sample dispensing mechanism 12 to pick up the sample, by rotating its tray structure.

[0036] The sample dispensing mechanism 12 is used to aspirate samples and dispense them into the reaction container to be sampled. For example, the sample dispensing mechanism 12 may include a sample needle, which is driven by a two-dimensional or three-dimensional mechanism to move in two-dimensional or three-dimensional space. This allows the sample needle to move to the sample aspirator 11 and to the reaction container to be sampled, dispensing the sample into the reaction container. The reaction container may be, for example, a reaction cup or other container.

[0037] The reagent component 13 is used to hold reagents. In one embodiment, the reagent component 13 can be a reagent tray, which is arranged in a disc shape and has multiple positions for holding reagent containers. The reagent component 13 can rotate and drive the reagent containers it holds to rotate, so as to rotate the reagent containers to a specific position, such as a position where the reagent dispensing mechanism 14 can pick up the reagents. The number of reagent components 13 can be one or more.

[0038] The reagent dispensing mechanism 14 is used to draw up reagents and discharge them into the reaction vessel to which the reagents are to be added. In one embodiment, the reagent dispensing mechanism 14 may include a reagent needle, which is driven by a two-dimensional or three-dimensional driving mechanism to move in two-dimensional or three-dimensional space, so that the reagent needle can move to the reagent carried by the reagent drawing component 13, and to the reaction vessel to which the reagents are to be added, and discharge the reagents into the reaction vessel.

[0039] The mixing mechanism 15 is used to mix the reaction liquid that needs to be mixed in the reaction vessel. There can be one or more mixing mechanisms 15.

[0040] The reaction component 16 has at least one placement position for placing a reaction container and incubating the reaction liquid in the reaction container. For example, the reaction component 16 can be a reaction disk, which is arranged in a disk-shaped structure and has one or more placement positions for placing reaction containers. The reaction disk can rotate and drive the reaction container in its placement position to rotate, for managing the reaction container and incubating the reaction liquid in the reaction container within the reaction disk.

[0041] The detection device 17 is used to measure the reaction solution after incubation to obtain the reaction data of the sample. In one embodiment, the detection device 17 can be detachably disposed outside the reaction component 16.

[0042] The above are some examples of functional module 10. The following will continue to describe the other components and structures in the sample analyzer.

[0043] Input module 20 is used to receive user input. Commonly, input module 20 can be a mouse and keyboard, or in some cases, a touch screen display. A touch screen display provides both user input and content display functionality; therefore, in this example, input module 20 and display module 30 are integrated. Of course, in some examples, input module 20 can even be a voice input device with voice recognition capabilities, or a scanning device, etc. Display module 30 can be used to display information. In some embodiments, the sample analyzer itself can integrate a display module; in other embodiments, the sample analyzer can also be connected to a computer device (e.g., a computer) and display information through the computer device's display unit (e.g., a screen). All of these fall within the scope defined and protected by display module 30 herein.

[0044] The functions and operations performed by each component of the sample analyzer in the embodiments of this application will be described in further detail below based on the structure of the aforementioned sample analyzer.

[0045] In one embodiment, the sample analyzer includes a dispensing unit, a pressure detection device, a photoelectric detection device, and a processor. The dispensing unit dispenses the target liquid into the reaction vessel. The dispensing unit can be the sample dispensing mechanism 12 described above for aspirating samples and discharging them into the reaction vessel, or it can be the reagent dispensing mechanism 14 for aspirating reagents and discharging them into the reaction vessel, or it can be a liquid dispensing assembly for aspirating other liquids. Of course, the dispensing unit can also be a combination of various liquid dispensing assemblies such as the sample dispensing mechanism 12 and the reagent dispensing mechanism 14. Furthermore, the target liquid can be a sample, a reagent, or other types of liquid.

[0046] The photoelectric detection device is used to emit a light beam into the reaction vessel and collect the emitted light signal from the mixture containing the target liquid within the reaction vessel. Based on the emitted light signal, it acquires light signal change data. This light signal change data is used to characterize the influence of the mixture within the reaction vessel on the light beam signal, for example, characterizing the absorption or reflection of the light beam by the mixture within the reaction vessel.

[0047] Specifically, the photoelectric detection device acquires light signal change data of the mixture within the reaction vessel in scenarios such as... Figure 3 As shown. In Figure 3 In the illustrated scenario, the photoelectric detection device includes a light source 310 and a light signal acquisition component 330. The light source 310 emits a light beam into the reaction vessel 320, and the light signal acquisition component 330 acquires the emitted light signal from the reaction liquid in the reaction vessel 320. In some embodiments, the light source 310 and the light signal acquisition component 330 can be the light source and photoelectric sensor in a photometer.

[0048] Specifically, the dispensing unit draws the target liquid from the liquid container scheduled to the aspiration position and delivers and discharges the drawn target liquid into the reaction cup 320. The reaction component 16 of the sample analyzer has a cup position to accommodate the reaction cup 320, in which reagents and samples are mixed to prepare the reaction solution. The reaction cup 320 is movable relative to the light source 310 or the light signal acquisition component 330. For example, the reaction cup 320 may rotate relative to the light source 310 or the light signal acquisition component 330, such as rotating around the light source 310. During relative motion, the light source 310 irradiates the reaction cup 320 with an illumination beam from the light source 310. The process of relative motion and continuous irradiation between the light source 310 and the reaction cup 320 constitutes a detection cycle. Within one detection cycle, the light signal acquisition component 330 acquires multiple emitted light signals from the reaction liquid within the reaction cup 320. The memory stores the intensity and acquisition time of the acquired light signals, obtaining a signal sequence in the reaction cup 320 that includes the intensity and time correspondence of multiple light signals. The processor processes this signal sequence to obtain the light signal change data of the reaction liquid within the reaction cup 320. In another example, the reaction cup 320 and the light source 310 are relatively stationary.

[0049] For example, in some exemplary alternative embodiments, the optical signal change data may include photoelectric data and / or absorbance data, where the photoelectric data is a signal sequence formed by the relationship between the light intensity data of the emitted light signal and the acquisition time. Specifically, the photoelectric data may include panoramic dynamic photometry data obtained based on Panorama Dynamic Recognition (PDR) technology. The photoelectric data characterizes the reflection of the light beam by the mixture within the reaction vessel. The absorbance data characterizes the absorption of the light beam by the mixture within the reaction vessel.

[0050] The pressure detection device of the sample analyzer is used to acquire pressure data during the dispensing unit's dispensing of the target liquid into the reaction vessel. This pressure detection device can be a pressure sensor. For example, an exemplary connection between the dispensing unit and the pressure detection device could be as follows: Figure 4 As shown, the dispensing unit includes a syringe, tubing, and a pipette. The pipette draws the target liquid from the liquid container and dispenses the drawn target liquid into the reaction container. The syringe provides the driving force for the pipette to draw and dispense the target liquid. A pressure sensor can be installed in the tubing between the syringe and the pipette, or as shown in the diagram. Figure 4The diagram shows the tubing positioned between the syringe and other components. A pressure sensor detects pressure changes within the pipette (i.e., changes in the pipette tubing pressure) and outputs a pressure detection signal. For example, during damped oscillations of the liquid absorbed within the pipette, pressure fluctuations occur in the pipette and tubing, which are detected by the pressure sensor, thus obtaining the pressure data for liquid dispensing by the dispensing unit.

[0051] The processor of the sample analyzer can be connected to the pressure detection device and the photoelectric detection device to acquire the pressure data of the liquid dispensing unit collected by the pressure detection device and the light signal change data of the mixture in the reaction vessel collected by the photoelectric detection device.

[0052] When abnormalities occur during liquid dispensing, such as needle blockage, empty suction, or foreign object aspiration, the pressure data of the dispensing unit will show abnormalities or errors compared to normal liquid dispensing. For example, the pressure data may be too high or significantly higher than normal. Similarly, since optical signal changes can characterize the influence of the liquid inside the reaction vessel on the incident light beam, the optical signal of the liquid inside the reaction vessel on the incident light beam will deviate compared to normal liquid dispensing. For example, the introduction of foreign objects may cause the absorbance or photoelectric data value of the liquid inside the reaction vessel to be too high or significantly higher than normal, or needle blockage may prevent the normal discharge of the target liquid, resulting in the photoelectric data value or absorbance value of the liquid inside the reaction vessel being significantly lower than normal.

[0053] Therefore, upon acquiring the pressure and optical signal change data, the processor can determine whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and output the judgment result. For example, if the pressure data value is greater than the normal value, this phenomenon alone cannot directly determine that an abnormality in liquid dispensing has occurred, because the viscosity of the absorbed liquid may be too high, causing the suction pressure to be higher than the normal value. In this case, the optical signal change data can be used for judgment. If the optical signal change data value is also greater than the normal value, for example, if foreign matter is absorbed and discharged into the reaction vessel, causing the absorbance value to be greater than the normal value, then an abnormality in liquid dispensing can be determined. If the optical signal change data value is within the normal range, then it can be determined that the liquid dispensing is not abnormal and is a normal liquid dispensing situation, possibly due to the viscosity of the absorbed liquid being too high, causing the suction pressure to be higher than the normal value.

[0054] In this embodiment, pressure data of liquid dispensing and optical signal change data of the liquid dispensing in the reaction vessel can be acquired. The optical signal change data can characterize the influence of the liquid in the reaction vessel on the optical signal of the incident light beam. Thus, multiple influencing factors such as the pressure data and the optical signal change data can be combined to determine whether the liquid dispensing is abnormal. This avoids false alarms or failure to identify dispensing abnormalities due to judging whether the liquid dispensing is abnormal based on a single factor. Therefore, the sensitivity and specificity of liquid dispensing abnormality identification can be improved, as well as the accuracy and reliability of liquid dispensing abnormality identification.

[0055] For example, Figure 5 Several typical aspiration pressure curves are shown for various liquid dispensing scenarios. Among them, aspiration curve 1 corresponds to normal aspiration, aspiration curve 2 corresponds to normal aspiration of high-viscosity samples, aspiration curve 3 corresponds to aspiration of foreign objects, aspiration curve 4 corresponds to aspiration of blocked needles, and aspiration curve 5 corresponds to aspiration of air bubbles.

[0056] It can be seen that, compared with normal aspiration, the aspiration pressure curves under various abnormal aspiration conditions deviate from the normal aspiration pressure curve. Therefore, aspiration pressure data can be used as an important factor in identifying abnormal liquid dispensing.

[0057] Figure 6 The diagram illustrates several typical drainage pressure curves under various liquid dispensing scenarios. It shows that the pressure curve for abnormal drainage deviates from that of normal drainage in certain ranges. For example, when foreign objects are present in the dispensing needle, the drainage pressure curve may rise abnormally. Therefore, drainage pressure data can also be considered an important factor in identifying abnormal liquid dispensing.

[0058] Figure 7 The diagram illustrates several typical photoelectric data curves under various liquid dispensing scenarios. Curve 1 represents the normal state, while curve 2 represents the photoelectric data curve for the abnormal state corresponding to fibrin interference in the liquid within the reaction vessel. AD data refers to photoelectric data. Curve 2 depicts a scenario where microbubbles or foreign objects obstruct the light path. Relying solely on photoelectric data is insufficient to determine if liquid dispensing is abnormal, as the anomaly could be temporary due to uneven mixing of the liquid within the reaction vessel. Further analysis using suction pressure data and / or discharge pressure data is necessary to confirm the diagnosis. Therefore, photoelectric data can also be considered an important factor in identifying liquid dispensing anomalies.

[0059] Figure 8The diagram shows several typical absorbance curves under various liquid dispensing scenarios. Absorbance curve 1 represents the normal state; absorbance curve 2 is an error curve caused by needle blockage. Due to the inhalation of foreign matter, foreign matter was added to the reaction vessel, causing abnormal increases in absorbance at certain times. It can be seen that absorbance data can reflect abnormalities in the liquid dispensing process and can be combined with other factors to determine whether abnormalities exist in the liquid dispensing process.

[0060] Therefore, based on the above embodiments, in one implementation, the pressure data includes the suction pressure data of the dispensing unit drawing in the target liquid, and / or the discharge pressure data of the dispensing unit releasing the target liquid. Thus, when determining whether the liquid dispensing is abnormal, the processor can determine whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on at least one of the suction pressure data and the discharge pressure data, as well as the optical signal change data.

[0061] The suction pressure data can be the change in suction pressure, which can be calculated as: Suction pressure change = Atmospheric pressure – Minimum pressure. The minimum pressure can be the minimum pressure during the liquid distribution process. Similarly, the discharge pressure data can be the change in discharge pressure, which can be calculated as: Discharge pressure change = Maximum pressure – Atmospheric pressure. The maximum pressure can be the maximum pressure during the liquid distribution process.

[0062] It should be noted that the calculation of the change value of suction pressure or the change value of discharge pressure is only one algorithm. In practical applications, there is no limitation on the specific form and acquisition method of the suction pressure data and discharge pressure data. It can be the change value of suction pressure or the change value of discharge pressure, or it can be determined by a high-performance algorithm based on machine learning.

[0063] Specifically, one way to determine this is that when the liquid suction pressure data, liquid discharge pressure data, and optical signal change data are all within their respective preset value ranges, it indicates that the liquid suction is normal, the liquid discharge is normal, and the influence of the liquid in the reaction container on the optical signal of the incident beam is also consistent with the influence of the liquid in the reaction container on the optical signal of the incident beam during normal liquid dispensing. Therefore, the processor can determine that the process of the dispensing unit dispensing the target liquid into the reaction container is normal.

[0064] The preset numerical ranges for the above factors can be obtained by summarizing and generalizing the numerical ranges of the above factors under normal liquid dispensing conditions.

[0065] In addition, another scenario confirms that the dispensing unit is functioning normally when dispensing the target liquid into the reaction vessel. This occurs when the suction pressure data is greater than the first suction pressure threshold but less than the second suction pressure threshold, and both the discharge pressure data and the optical signal change data are within their respective preset ranges. This situation may be due to the high viscosity of the target liquid, causing an increase in suction pressure. However, the dispensing needle remains unblocked throughout the suction process, and no foreign matter is drawn in. Therefore, the optical signal change data is within normal ranges, such as photoelectric data and absorbance data. In this case, it can be determined that the dispensing unit is functioning normally when dispensing the target liquid into the reaction vessel. Alternatively, if the liquid dispensing process follows the principle of more suction than discharge, the pressure value may be abnormal during suction, but normal during discharge, and the photoelectric data and / or absorbance data are also normal. In this case, it can also be determined that the dispensing unit is functioning normally when dispensing the target liquid into the reaction vessel.

[0066] The second aspiration pressure threshold is greater than the first aspiration pressure threshold. The method for defining the detection conclusion of the aspiration pressure data based on the first and second aspiration pressure thresholds can be referred to the explanation and elaboration below.

[0067] Therefore, for the two scenarios mentioned above, even if the suction pressure data has triggered an anomaly, but the discharge pressure data and light signal change data are normal and are judged as normal liquid dispensing, such scenarios will not trigger an abnormal liquid dispensing alarm, thereby avoiding false alarms and excessive alarms that may cause inconvenience to users.

[0068] Another scenario where the dispensing unit is correctly dispensing the target liquid into the reaction vessel is when both the suction pressure and discharge pressure data are within their respective preset ranges, but the optical signal change data exceeds a preset threshold. In this case, the processor can determine that the dispensing unit is correctly dispensing the target liquid into the reaction vessel, and that the optical signal change data is abnormal. This occurs because while suction and discharge are normal, the liquid in the reaction vessel may contain impurities or air bubbles. These impurities or air bubbles are not introduced during dispensing but can cause abnormal optical signal change data. Alternatively, a malfunction in the photoelectric detection device may cause abnormal optical signal change data, even though suction and discharge themselves are normal. Therefore, in this situation—where the suction and discharge pressure data are normal, but the optical signal change data is abnormal—the processor can determine that the liquid dispensing is normal and simultaneously alert the user to the abnormal optical signal change data in the reaction vessel. This could be indicated by abnormal photoelectric data or absorbance data, allowing the user to remeasure the photoelectric or absorbance data.

[0069] Therefore, by combining data such as suction pressure and discharge pressure, it is possible to accurately determine whether a liquid dispensing anomaly has actually occurred when photoelectric data or absorbance data is abnormal. This avoids false alarms caused by judging liquid dispensing anomalies solely based on photoelectric data or absorbance data, and prevents inaccurate judgment results. It ensures both the sensitivity and specificity of liquid dispensing anomaly identification, thereby improving the accuracy and reliability of liquid dispensing anomaly identification.

[0070] In other alternative implementations, the processor determines that the liquid dispensing is abnormal when the change in the optical signal data is greater than a preset threshold and the liquid absorption pressure data is greater than a first liquid absorption pressure threshold but less than a second liquid absorption pressure threshold, or when the change in the optical signal data is greater than a preset threshold and the liquid discharge pressure data is greater than a first liquid discharge pressure threshold but less than a second liquid discharge pressure threshold. In any of the above situations, the processor can determine that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel.

[0071] The preset threshold corresponding to the optical signal change data may include multiple critical thresholds, and the numerical range formed by the multiple critical thresholds may correspond to different detection conclusions of the optical signal change data. In one embodiment, the preset thresholds include a first preset threshold and a second preset threshold, and the second preset threshold is greater than the first preset threshold. For example, for the judgment of photoelectric data and absorbance data, the judgment algorithm may preset three judgment intervals, corresponding to the three detection conclusions of "normal", "abnormal", and "error". These three judgment intervals are defined by the corresponding critical thresholds. The first preset threshold is 1000, and the second preset threshold is 2000. When the detection conclusion is erroneous, a relevant alarm is directly given, such as the failure of the absorbance reaction curve check. However, it is not possible to directly determine whether the liquid dispensing is abnormal based solely on the optical signal change data; it is also necessary to combine the liquid aspiration pressure data and / or liquid discharge pressure data.

[0072] For example, one way to define the above three judgment intervals is shown in the table below:

[0073] 5-point sliding SD maximum value 5-point sliding SD maximum value 5-point sliding SD maximum value Judgment interval (-∞，1000] (1000，2000] (2000，﹢∞] Test results normal abnormal mistake

[0074] The so-called "5-point sliding SD" refers to a method for determining the critical threshold of each judgment interval. It means that the standard deviation (SD) is calculated for every 5 data points in the corresponding optical signal change data sequence, and the maximum value of all SDs is taken as the critical threshold of the judgment interval.

[0075] Therefore, based on the aforementioned judgment intervals, the detection conclusion corresponding to the light signal change data collected by the photoelectric detection device can be determined. When the detection conclusion is abnormal or incorrect, a prompt message can be output to inform the user that the detection of the light signal change data is abnormal, and the user can re-measure the light signal change data.

[0076] Similarly, aspiration pressure data and drainage pressure data can also be set with multiple judgment intervals based on multiple critical thresholds, and each judgment interval corresponds to a detection conclusion. For example, aspiration pressure data and drainage pressure data can be set with three corresponding detection conclusions: normal, abnormal, and needle blockage, as well as the judgment interval for each detection conclusion.

[0077] For example, the following table shows a method for defining the three judgment intervals of the suction pressure data based on the above-mentioned suction pressure change value:

[0078]

[0079] Therefore, based on the above-mentioned multiple judgment intervals of the liquid suction pressure change value and their corresponding detection conclusions, the detection conclusions corresponding to the liquid suction pressure data detected by the pressure detection device can be determined.

[0080] Of course, the number of judgment intervals corresponding to the above-mentioned optical signal change data, liquid suction pressure data, and liquid discharge pressure data, as well as the critical threshold corresponding to each judgment interval, are not limited and can be set and adjusted by the user according to actual needs.

[0081] Therefore, the aforementioned optical signal change data is greater than a preset threshold. This preset threshold can be the critical threshold for the judgment interval of the optical signal change data corresponding to the two detection conclusions of "abnormal" and "error", such as the two critical thresholds "1000" and "2000" in the table above.

[0082] Similarly, the above-mentioned aspiration pressure data is greater than the first aspiration pressure threshold but less than the second aspiration pressure threshold. The first aspiration pressure threshold can be the critical threshold of the judgment interval of the aspiration pressure data corresponding to the detection conclusion of "abnormal", such as the critical threshold "5" in the table above; the second aspiration pressure threshold can be the critical threshold of the judgment interval of the aspiration pressure data corresponding to the detection conclusion of "needle blockage", such as the two critical thresholds "8" in the table above.

[0083] Furthermore, the aforementioned drainage pressure data is greater than the first drainage pressure threshold but less than the second drainage pressure threshold. The first drainage pressure threshold can also be the critical threshold of the judgment interval of the drainage pressure data corresponding to the detection conclusion of "abnormality"; the second drainage pressure threshold can also be the critical threshold of the judgment interval of the drainage pressure data corresponding to the detection conclusion of "needle blockage".

[0084] Therefore, by combining aspiration pressure data and optical signal change data, or by combining dispensing pressure data and optical signal change data, it is possible to accurately determine whether abnormalities have occurred in liquid dispensing, ensuring the specificity and sensitivity of liquid dispensing anomaly identification.

[0085] The liquid dispensing anomaly determined based on optical signal change data exceeding a preset threshold and liquid suction pressure data exceeding a first liquid suction pressure threshold but falling below a second liquid suction pressure threshold can be categorized into several types. Similarly, the liquid dispensing anomaly determined based on optical signal change data exceeding a preset threshold and liquid discharge pressure data exceeding a first liquid discharge pressure threshold but falling below a second liquid discharge pressure threshold can also be categorized into several types. These will be described in detail below.

[0086] In one optional implementation, when the optical signal change data is greater than a first preset threshold but less than a second preset threshold, and the liquid absorption pressure data is greater than the first liquid absorption pressure threshold but less than the second liquid absorption pressure threshold, an anomaly is determined in the process of the dispensing unit dispensing the target liquid into the reaction container. Specifically, this anomaly is one of empty suction, micro-blockage, and foreign matter suction. Micro-blockage indicates insufficient liquid absorption by the dispensing unit, for example, due to excessively high viscosity of the target liquid or blockage by impurities, leading to insufficient liquid absorption and deviations in the test results of the reaction liquid.

[0087] The second preset threshold is greater than the first preset threshold. For example, the first preset threshold can be the lower limit of the judgment interval corresponding to the detection conclusion of "abnormal" optical signal change data (such as the value "1000" in the table defining the judgment interval of optical signal change data). The second preset threshold can be the lower limit of the judgment interval corresponding to the detection conclusion of "error" optical signal change data (such as the value "2000" in the table defining the judgment interval of optical signal change data). Therefore, if the optical signal change data is greater than the first preset threshold but less than the second preset threshold, that is, if the optical signal change data falls within the judgment interval corresponding to the detection conclusion of "abnormal", then the detection conclusion of the optical signal change data is "abnormal".

[0088] The first suction pressure threshold can be the lower limit of the judgment interval corresponding to the detection conclusion of the suction pressure data being "abnormal" (such as the value "5" in the table defining the judgment interval of the suction pressure data mentioned above). Therefore, when the light signal change data is greater than the first preset threshold but less than the second preset threshold, and the suction pressure data is greater than the first suction pressure threshold but less than the second suction pressure threshold, that is, when the detection conclusion of the light signal change data is "abnormal" and the detection conclusion of the suction pressure data is "abnormal", the type of abnormal liquid dispensing is judged to be one of empty suction, micro-blockage, and foreign body aspiration.

[0089] When the change in optical signal data exceeds the second preset threshold, and the liquid suction pressure data exceeds the first liquid suction pressure threshold but is less than the second liquid suction pressure threshold, the processor can determine that there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction vessel, specifically, that the liquid suction needle of the dispensing unit is blocked. In other words, when the detection conclusion of the change in optical signal data is "error" and the detection conclusion of the liquid suction pressure data is "abnormal," the type of liquid dispensing abnormality is determined to be needle blockage.

[0090] Therefore, by setting different judgment intervals corresponding to different detection conclusions for optical signal change data, the detection conclusion of optical signal change data can be determined based on the set judgment intervals. Combined with the liquid aspiration pressure data, the specific type of liquid dispensing anomaly can be determined, thereby improving the recognition accuracy of liquid dispensing anomaly identification and providing users with more accurate liquid dispensing anomaly identification results.

[0091] In another optional implementation, when the light signal change data is greater than a first preset threshold and the drain pressure data is greater than a first drain pressure threshold but less than a second drain pressure threshold, the processor can determine that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction container, specifically one of air suction, micro-blockage, and foreign matter suction.

[0092] Wherein, the optical signal change data is greater than the first preset threshold, which can be greater than the first preset threshold but less than the second preset threshold, or greater than the second preset threshold, where the second preset threshold is greater than the first preset threshold.

[0093] The first drainage pressure threshold can be the lower limit of the judgment interval corresponding to the detection conclusion of "abnormal" drainage pressure data. Therefore, when the optical signal change data is greater than the first preset threshold but less than the second preset threshold (i.e., the detection conclusion of the optical signal change data is "abnormal"), and the drainage pressure data is greater than the first drainage pressure threshold but less than the second drainage pressure threshold (i.e., the detection conclusion of the drainage pressure data is "abnormal"), the type of liquid dispensing anomaly is judged as one of cavitation, micro-blockage, or foreign object aspiration. Alternatively, when the optical signal change data is greater than the second preset threshold (i.e., the detection conclusion of the optical signal change data is "error"), and the drainage pressure data is greater than the first drainage pressure threshold but less than the second drainage pressure threshold (i.e., the detection conclusion of the drainage pressure data is "abnormal"), the type of liquid dispensing anomaly can also be judged as one of cavitation, micro-blockage, or foreign object aspiration.

[0094] Therefore, by setting different judgment intervals corresponding to different detection conclusions for optical signal change data, the detection conclusion of optical signal change data can be determined according to the set judgment interval. Combined with the drainage pressure data, the specific type of liquid dispensing anomaly can also be determined, thereby improving the recognition accuracy of liquid dispensing anomaly identification and providing users with more accurate liquid dispensing anomaly identification results.

[0095] In another scenario for determining the specific type of liquid dispensing anomaly, when the liquid suction pressure data is greater than the first liquid suction pressure threshold but less than the second liquid suction pressure threshold, and the liquid discharge pressure data is greater than the first liquid discharge pressure threshold but less than the second liquid discharge pressure threshold, and the optical signal change data is within the corresponding preset value range, the processor can determine that there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and the anomaly is specifically a blockage.

[0096] Among them, the second liquid absorption pressure threshold is greater than the first liquid absorption pressure threshold, and the second liquid discharge pressure threshold is greater than the first liquid discharge pressure threshold.

[0097] For example, the second aspiration pressure threshold can be the lower limit of the judgment interval corresponding to the detection conclusion of "needle blockage" in the aspiration pressure data (such as the value "8" in the table defining the judgment interval of the aspiration pressure data above). The second discharge pressure threshold can be the lower limit of the judgment interval corresponding to the detection conclusion of "needle blockage" in the discharge pressure data.

[0098] In other words, if both the suction pressure and discharge pressure data show "abnormal" readings, but the optical signal change data indicates "normal," then it can be determined that the dispensing needle in the dispensing unit is clogged. Conversely, if both the suction pressure and discharge pressure data show "abnormal" readings, and the optical signal change data also shows "abnormal," it can also be determined that the dispensing needle in the dispensing unit is clogged.

[0099] When the suction pressure data exceeds the second suction pressure threshold, or when the discharge pressure data exceeds the second discharge pressure threshold, it indicates that the suction pressure data or discharge pressure data is significantly higher than the pressure value corresponding to normal liquid dispensing. In this case, it can be determined that there is an anomaly in the dispensing unit's process of dispensing the target liquid into the reaction vessel, specifically a blockage. In other words, when the detection conclusion of the suction pressure data or the discharge pressure data is "needle blockage," it can be directly determined that the dispensing needle of the dispensing unit is blocked, without needing to combine it with optical signal change data for judgment, thus improving the identification efficiency of liquid dispensing anomalies.

[0100] For example, Figure 9This document presents the judgment rules for determining whether liquid dispensing is abnormal and the subsequent handling measures based on the detection conclusions corresponding to the combined aspiration pressure data, dispensing pressure data, photoelectric data, and absorbance under various liquid dispensing scenarios. The symbol " / " indicates a detection conclusion that does not require this factor. For example, in the second judgment rule, the detection conclusion for absorbance is " / ", indicating that the judgment of whether liquid dispensing is abnormal can be obtained without relying on the absorbance detection conclusion.

[0101] Figure 9 The specific classification methods for the test conclusions such as "normal", "abnormal" and "error" corresponding to each factor shown have been explained and described in detail in the previous text. Please refer to the explanation and description in the previous text for details, and they will not be repeated here.

[0102] according to Figure 9 According to the judgment rule shown, if the aspiration pressure is abnormal, but the discharge pressure is normal and the light signal change data (photoelectric data and / or absorbance data) is normal, then the liquid dispensing is determined to be normal, which corresponds to the judgment rule in item 1.

[0103] When the aspiration pressure and the discharge pressure are normal, but the photoelectric data or absorbance is incorrect, only the photoelectric data and absorbance are considered abnormal. The photoelectric data and absorbance can be re-measured, which corresponds to the judgment rules in items 2 and 4.

[0104] In some liquid dispensing scenarios, if the photoelectric data or absorbance is incorrect and the liquid suction pressure is abnormal, it can be determined that the liquid dispensing needle is blocked, for example, according to the judgment rules in items 3 and 5.

[0105] In other liquid dispensing scenarios, if both the suction pressure data and the discharge pressure data are abnormal, and the photoelectric data is normal or abnormal; or, if both the suction pressure data and the discharge pressure data are abnormal, and the absorbance is abnormal, then it can be determined that the liquid dispensing needle is blocked, for example, according to the judgment rules in items 6, 8 and 9.

[0106] In other liquid dispensing scenarios, if the suction pressure is abnormal, the discharge pressure is normal, and the photoelectric data is abnormal, it can be determined that the liquid dispensing is abnormal, and the specific type of abnormality is empty suction / micro-blockage / foreign object suction, for example, the judgment rule corresponding to item 7.

[0107] In other liquid dispensing scenarios, if the aspiration pressure is normal, the dispensing pressure is abnormal, and the photoelectric data is abnormal or incorrect, or the absorbance is abnormal or incorrect, then the liquid dispensing can be determined to be abnormal. The specific type of abnormality is empty aspiration / micro-blockage / foreign object aspiration, for example, the judgment rules corresponding to items 10, 11 and 12.

[0108] Understandably, the influence of suction pressure data, discharge pressure data, and optical signal change data on the judgment of whether liquid dispensing is abnormal can be arbitrarily set by the user of the sample analyzer based on their experience or the technical principles of liquid dispensing, using the aforementioned multiple factors to determine the judgment result. In other words, Figure 9 The judgment rules shown are not the only judgment criteria. This embodiment does not limit the judgment rules for whether the liquid dispensing is abnormal based on the above multiple factors.

[0109] In one optional implementation, the judgment rule can be set by the user. Specifically, the processor can obtain the user-set liquid injection anomaly judgment rule, which represents the correspondence between anomalies in pressure data and optical signal change data and the judgment result, for example, similar to... Figure 9 The judgment rules are shown. Then, the processor can determine whether there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction vessel, based on these liquid dispensing anomaly judgment rules, as well as anomalies in the pressure data and optical signal change data, and output the judgment result.

[0110] The processor can display a screen to the user to set the judgment rules. The user can set the judgment rules for the judgment results of abnormal liquid dispensing based on the detection conclusions of various factors on this screen.

[0111] Therefore, by providing the function of customizing the above judgment rules, users can set the alarm prompts for abnormal liquid dispensing according to actual usage needs and actual liquid dispensing conditions, which facilitates users' use of the liquid dispensing abnormality prompt function of the sample analyzer.

[0112] Based on the foregoing embodiments and their various optional implementations, in some other optional implementations, when it is determined that there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction vessel, the processor can prompt the dispensing unit that there is an anomaly in the process of dispensing the target liquid into the reaction vessel. When it is determined that the optical signal change data is abnormal based on the optical signal change data, the processor can prompt the optical signal change data to be abnormal and re-measure the optical signal change data.

[0113] Therefore, when a liquid dispensing anomaly is detected, the user can confirm the anomaly through the alarms and prompts of the sample analyzer, and obtain the specific type of anomaly. This allows the user to take timely countermeasures, such as cleaning the dispensing needle of the dispensing unit and re-analyzing the reaction solution. When an alarm prompt indicating abnormal changes in the optical signal data from the sample analyzer is received, the user can choose to re-measure the optical signal data.

[0114] In some alternative implementations, in addition to pressure data and optical signal change data, other factors can be combined to determine whether there is an anomaly in the liquid dispensing process. Specifically, the dispensing unit includes a syringe and a dispensing needle. The syringe is equipped with a motor and is used to draw the target liquid from the liquid container based on the motor-driven dispensing needle. The processor can acquire the motor motion data of the syringe and / or the liquid level in the liquid container, and can determine whether there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction container based on at least one of the motor motion data and liquid level, pressure data, and optical signal change data, and output the determination result.

[0115] For example, the speed or acceleration of the syringe movement is correlated with the magnitude or rate of change of the suction pressure and discharge pressure. If the syringe movement speed is uniform and constant, the rate of change of the suction pressure is zero, and this can be combined with optical signal change data to determine that the suction is normal; if the syringe movement speed is uniform and constant, but the rate of change of the suction pressure is greater than zero, this can be combined with optical signal change data to determine that the suction is abnormal.

[0116] Alternatively, if the suction pressure data is abnormal and the drop in liquid level in the liquid container is less than the preset value, it indicates that the needle may be blocked, preventing the liquid from being drawn from the liquid container. In this case, the drop in liquid level in the liquid container is less than the drop in liquid level during normal suction. In this case, the needle blockage can be confirmed by combining the light signal change data.

[0117] Therefore, by combining the above-mentioned multiple factors for joint diagnosis of fluid injection abnormalities, the amount of input data for joint diagnosis of fluid injection abnormalities can be increased, and more influencing factors can be referenced, thereby improving the accuracy of joint diagnosis of fluid injection abnormalities.

[0118] Based on the structure of the aforementioned sample analyzer and the functions and operations performed by its components, the following section will further describe the liquid dispensing anomaly identification method performed by the sample analyzer, using the sample analyzer as the subject of description. Please refer to... Figure 10 One embodiment of the liquid dispensing anomaly identification method in this application includes:

[0119] 1001. Control the dispensing unit to dispense the target liquid into the reaction vessel;

[0120] 1002. The control pressure detection device acquires pressure data during the process of the dispensing unit dispensing the target liquid into the reaction vessel;

[0121] 1003. Control the photoelectric detection device to emit a light beam towards the reaction vessel, and collect the emitted light signal from the mixture containing the target liquid in the reaction vessel. Obtain light signal change data based on the emitted light signal. The light signal change data is used to characterize the influence of the mixture in the reaction vessel on the light beam signal.

[0122] 1004. Based on the pressure data and the light signal change data, determine whether there is any abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and output the judgment result.

[0123] The method of this embodiment can be applied to a sample analyzer, which includes a dispensing unit, a pressure detection device, and a photoelectric detection device. Specifically, the connection relationships between the components of the sample analyzer and the functions of each component have been described in detail above and will not be repeated here.

[0124] In this embodiment, pressure data of liquid dispensing and optical signal change data of the liquid dispensing in the reaction vessel can be acquired. The optical signal change data can characterize the influence of the liquid in the reaction vessel on the optical signal of the incident light beam. Thus, multiple influencing factors such as the pressure data and the optical signal change data can be combined to determine whether the liquid dispensing is abnormal. This avoids false alarms or failure to identify dispensing abnormalities due to judging whether the liquid dispensing is abnormal based on a single factor. Therefore, the sensitivity and specificity of liquid dispensing abnormality identification can be improved, as well as the accuracy and reliability of liquid dispensing abnormality identification.

[0125] In one embodiment of this example, the pressure data includes the suction pressure data of the dispensing unit drawing in the target liquid, and / or the discharge pressure data of the dispensing unit discharging the target liquid.

[0126] Based on the pressure data and optical signal change data, determine whether there are any abnormalities in the process of the dispensing unit dispensing the target liquid into the reaction vessel, including:

[0127] Determine whether there is any abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on at least one of the liquid absorption pressure data and liquid discharge pressure data, as well as the light signal change data.

[0128] In one embodiment of this invention, determining whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on at least one of the liquid absorption pressure data and liquid discharge pressure data, as well as the optical signal change data, includes:

[0129] When the liquid absorption pressure data, liquid discharge pressure data, and light signal change data are all within their respective preset value ranges, it is determined that the process of the dispensing unit dispensing the target liquid into the reaction vessel is normal.

[0130] In one embodiment of this invention, determining whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on at least one of the liquid absorption pressure data and liquid discharge pressure data, as well as optical signal change data, includes:

[0131] When the liquid absorption pressure data is greater than the first liquid absorption pressure threshold but less than the second liquid absorption pressure threshold, and the liquid discharge pressure data and the optical signal change data are both within their respective preset value ranges, it is determined that the process of the dispensing unit dispensing the target liquid into the reaction vessel is normal.

[0132] In one embodiment of this invention, determining whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on at least one of the liquid absorption pressure data and liquid discharge pressure data, as well as optical signal change data, includes:

[0133] When the suction pressure data and discharge pressure data are both within their respective preset value ranges, but the light signal change data exceeds the preset threshold, it is determined that the process of the dispensing unit dispensing the target liquid into the reaction vessel is normal, and the light signal change data is determined to be abnormal.

[0134] In one embodiment of this invention, determining whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on at least one of the liquid absorption pressure data and liquid discharge pressure data, as well as optical signal change data, includes:

[0135] When the change data of the optical signal is greater than a preset threshold and the liquid absorption pressure data is greater than the first liquid absorption pressure threshold but less than the second liquid absorption pressure threshold, or when the change data of the optical signal is greater than a preset threshold and the liquid discharge pressure data is greater than the first liquid discharge pressure threshold but less than the second liquid discharge pressure threshold, it is determined that there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction vessel.

[0136] In one embodiment of this invention, when the optical signal change data is greater than a preset threshold and the liquid absorption pressure data is greater than a first liquid absorption pressure threshold but less than a second liquid absorption pressure threshold, or when the optical signal change data is greater than a preset threshold and the liquid discharge pressure data is greater than a first liquid discharge pressure threshold but less than a second liquid discharge pressure threshold, it is determined that there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction vessel, including:

[0137] When the change data of the light signal is greater than the first preset threshold but less than the second preset threshold, and the liquid suction pressure data is greater than the first liquid suction pressure threshold but less than the second liquid suction pressure threshold, it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction container, specifically one of empty suction, micro-blockage and foreign matter suction.

[0138] Wherein, the second preset threshold is greater than the first preset threshold, and the micro-blockage is used to indicate that the dispensing unit does not absorb enough liquid from the target liquid.

[0139] When the change in light signal data exceeds the second preset threshold and the liquid aspiration pressure data exceeds the first liquid aspiration pressure threshold, an anomaly is determined in the process of the dispensing unit dispensing the target liquid into the reaction container, specifically, the liquid aspiration needle of the dispensing unit is blocked.

[0140] In one embodiment of this invention, when the optical signal change data is greater than a preset threshold and the liquid absorption pressure data is greater than a first liquid absorption pressure threshold but less than a second liquid absorption pressure threshold, or when the optical signal change data is greater than a preset threshold and the liquid discharge pressure data is greater than a first liquid discharge pressure threshold but less than a second liquid discharge pressure threshold, it is determined that there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction vessel, including:

[0141] When the change in optical signal data exceeds the first preset threshold and the discharge pressure data exceeds the first discharge pressure threshold, an anomaly is determined in the process of the dispensing unit dispensing the target liquid into the reaction vessel, specifically one of the following: air suction, micro-blockage, and foreign matter suction.

[0142] In one embodiment of this invention, determining whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on at least one of the liquid absorption pressure data and liquid discharge pressure data, as well as optical signal change data, includes:

[0143] When the liquid suction pressure data is greater than the first liquid suction pressure threshold but less than the second liquid suction pressure threshold, and the liquid discharge pressure data is greater than the first liquid discharge pressure threshold but less than the second liquid discharge pressure threshold, and the light signal change data is within the corresponding preset value range, it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction container, and the abnormality is specifically a blockage.

[0144] Among them, the second liquid absorption pressure threshold is greater than the first liquid absorption pressure threshold, and the second liquid discharge pressure threshold is greater than the first liquid discharge pressure threshold.

[0145] When the liquid suction pressure data is greater than the second liquid suction pressure threshold, or when the liquid discharge pressure data is greater than the second liquid discharge pressure threshold, it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and the abnormality is specifically a blockage.

[0146] In one embodiment of this invention, the optical signal change data includes photoelectric data and / or absorbance data. The photoelectric data is a signal sequence formed by the relationship between the light intensity data of the emitted light signal and the acquisition time.

[0147] In one embodiment of this invention, the photoelectric data includes panoramic dynamic photometry data.

[0148] In one embodiment of this example, the output judgment result includes:

[0149] When it is determined that there is an abnormality in the process of dispensing the target liquid into the reaction vessel by the dispensing unit, a prompt is made indicating that there is an abnormality in the process of dispensing the target liquid into the reaction vessel by the dispensing unit.

[0150] When an anomaly is determined based on the optical signal change data, an alert is displayed indicating the anomaly, and the optical signal change data is remeasured.

[0151] In one embodiment of this invention, determining whether there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on pressure data and light signal change data includes:

[0152] Obtain the user-defined rules for judging abnormalities in the liquid injection system. These rules are used to represent the correspondence between abnormalities in pressure data and optical signal change data and the judgment results.

[0153] Based on the rules for judging abnormalities in liquid dispensing, as well as the abnormalities in pressure data and optical signal change data, the system determines whether there are any abnormalities in the process of dispensing the target liquid into the reaction vessel by the dispensing unit, and outputs the judgment result.

[0154] In one embodiment of this invention, the dispensing unit includes a syringe and a dispensing needle. The syringe is equipped with a motor and is used to draw the target liquid from the liquid container of the target liquid based on the motor-driven dispensing needle.

[0155] Based on pressure data and light signal change data, determine whether there are any abnormalities in the process of the dispensing unit dispensing the target liquid into the reaction vessel, including:

[0156] Acquire the motor motion data of the syringe and / or the liquid level in the liquid container;

[0157] Based on at least one of the motor motion data and liquid level data, pressure data, and optical signal change data, determine whether there is any abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and output the judgment result.

[0158] The specific explanations and technical effects of the various implementation methods in this embodiment are similar to those of the various implementation methods in the previous embodiment, and will not be repeated here.

[0159] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0160] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.

[0161] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0162] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0163] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A sample analyzer characterized by, The application relates to a liquid injection device. The device comprises a liquid injection unit, a pressure detection device, a photoelectric detection device and a processor. The liquid injection unit is used for injecting a target liquid into a reaction container. The pressure detection device is used for acquiring pressure data of the process of injecting the target liquid into the reaction container by the liquid injection unit. The photoelectric detection device is used for emitting a light beam to the reaction container and collecting an emergent light signal of the light beam emitted from a mixed liquid containing the target liquid in the reaction container, and acquiring light signal change data based on the emergent light signal; the light signal change data is used for characterizing the signal influence of the mixed liquid in the reaction container on the light beam. The processor is used for judging whether the process of injecting the target liquid into the reaction container by the liquid injection unit is abnormal or not according to the pressure data and the light signal change data, and outputting a judgment result.

2. The sample analyzer of claim 1, wherein, The pressure data comprises liquid suction pressure data of the liquid injection unit sucking the target liquid and / or liquid discharge pressure data of the liquid injection unit discharging the target liquid. The processor is specifically used for judging whether the process of injecting the target liquid into the reaction container by the liquid injection unit is abnormal or not according to at least one of the liquid suction pressure data and the liquid discharge pressure data and the light signal change data.

3. The sample analyzer of claim 2, wherein, The processor is specifically used for determining that the process of injecting the target liquid into the reaction container by the liquid injection unit is normal when the liquid suction pressure data and the liquid discharge pressure data and the light signal change data are all within respective preset numerical ranges.

4. The sample analyzer of claim 2, wherein, The processor is specifically used for determining that the process of injecting the target liquid into the reaction container by the liquid injection unit is normal when the liquid suction pressure data is greater than a first liquid suction pressure threshold value but smaller than a second liquid suction pressure threshold value, and the liquid discharge pressure data and the light signal change data are all within respective preset numerical ranges. The second liquid suction pressure threshold value is greater than the first liquid suction pressure threshold value.

5. The sample analyzer of claim 2, wherein, The processor is specifically used for determining that the process of injecting the target liquid into the reaction container by the liquid injection unit is normal and determining that the light signal change data is abnormal when the liquid suction pressure data and the liquid discharge pressure data are all within respective preset numerical ranges but the light signal change data exceeds a preset threshold value.

6. The sample analyzer of claim 2, wherein, The processor is specifically used for determining that the process of injecting the target liquid into the reaction container by the liquid injection unit is abnormal when the light signal change data is greater than a preset threshold value and the liquid suction pressure data is greater than a first liquid suction pressure threshold value but smaller than a second liquid suction pressure threshold value, or when the light signal change data is greater than the preset threshold value and the liquid discharge pressure data is greater than a first liquid discharge pressure threshold value but smaller than a second liquid discharge pressure threshold value. The second liquid suction pressure threshold value is greater than the first liquid suction pressure threshold value, and the second liquid discharge pressure threshold value is greater than the first liquid discharge pressure threshold value.

7. The sample analyzer of claim 6, wherein, The processor is specifically used for The preset thresholds include a first preset threshold and a second preset threshold. When the light signal change data is greater than the first preset threshold but less than the second preset threshold, and the liquid absorption pressure data is greater than the first liquid absorption pressure threshold but less than the second liquid absorption pressure threshold, it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction container, specifically one of empty suction, micro-blockage, and foreign matter suction. Wherein, the second preset threshold is greater than the first preset threshold, and the micro-blockage is used to indicate that the dispensing unit has insufficient liquid absorption of the target liquid; When the change in the optical signal is greater than the second preset threshold, and the liquid suction pressure is greater than the first liquid suction pressure threshold but less than the second liquid suction pressure threshold, it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, specifically that the liquid suction needle of the dispensing unit is blocked.

8. The sample analyzer of claim 6, wherein, The processor is specifically used to determine, when the optical signal change data is greater than a first preset threshold and the drainage pressure data is greater than the first drainage pressure threshold but less than the second drainage pressure threshold, an anomaly exists in the process of the dispensing unit dispensing the target liquid into the reaction container, specifically one of air suction, micro-blockage, and foreign matter suction.

9. The sample analyzer of claim 2, wherein, The processor is specifically used to determine that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction container when the liquid absorption pressure data is greater than the first liquid absorption pressure threshold but less than the second liquid absorption pressure threshold, the liquid discharge pressure data is greater than the first liquid discharge pressure threshold but less than the second liquid discharge pressure threshold, and the light signal change data is within the corresponding preset value range; and the abnormality is specifically a blockage. Wherein, the second liquid absorption pressure threshold is greater than the first liquid absorption pressure threshold, and the second liquid discharge pressure threshold is greater than the first liquid discharge pressure threshold; When the liquid absorption pressure data is greater than the second liquid absorption pressure threshold, or when the liquid discharge pressure data is greater than the second liquid discharge pressure threshold, it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and the abnormality is specifically a blockage.

10. The sample analyzer of any one of claims 1 to 9, wherein, The optical signal change data includes photoelectric data and / or absorbance data, wherein the photoelectric data is a signal sequence formed by the relationship between the light intensity data of the emitted light signal and the acquisition time.

11. The sample analyzer of claim 10, wherein, The photoelectric data includes panoramic dynamic photometry data.

12. The sample analyzer of any one of claims 1 to 9, wherein, The processor is specifically used for, When it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, a notification is sent indicating that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel. When the optical signal change data is determined to be abnormal based on the optical signal change data, an abnormality is indicated, and the optical signal change data is remeasured.

13. The sample analyzer of any one of claims 1 to 9, wherein, The processor is specifically used for, Obtain the user-defined liquid injection anomaly judgment rules, which are used to represent the correspondence between the abnormal conditions of the pressure data and the abnormal conditions of the optical signal change data and the judgment results; Based on the liquid dispensing anomaly determination rules, as well as the anomalies in the pressure data and the optical signal change data, the system determines whether there is an anomaly in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and outputs the determination result.

14. The sample analyzer of any one of claims 1 to 9, wherein, The dispensing unit includes a syringe and a dispensing needle. The syringe is equipped with a motor and is used to drive the dispensing needle to draw the target liquid from the liquid container of the target liquid based on the motor. The processor is specifically used to acquire motor motion data of the syringe and / or liquid level in the liquid container; Based on at least one of the motor motion data and the liquid level height, the pressure data, and the optical signal change data, determine whether there is any abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and output the determination result.

15. A liquid dispensing abnormality identification method characterized by comprising: The method is applied to a sample analyzer, which includes: a dispensing unit, a pressure detection device, and a photoelectric detection device; The method includes: The dispensing unit is controlled to dispense the target liquid into the reaction vessel; The pressure detection device is controlled to acquire pressure data during the process of the dispensing unit dispensing the target liquid into the reaction vessel; The photoelectric detection device is controlled to emit a light beam toward the reaction vessel, and the emitted light signal of the light beam is collected from the mixture containing the target liquid in the reaction vessel. The light signal change data is obtained based on the emitted light signal. The light signal change data is used to characterize the influence of the mixture in the reaction vessel on the light beam signal. Based on the pressure data and the light signal change data, determine whether there is any abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and output the judgment result.

16. The method of claim 15, wherein, The pressure data includes the suction pressure data of the dispensing unit drawing in the target liquid, and / or the discharge pressure data of the dispensing unit releasing the target liquid; The step of determining whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on the pressure data and the light signal change data includes: Based on at least one of the liquid absorption pressure data and the liquid discharge pressure data, as well as the optical signal change data, it is determined whether there is any abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel.

17. The method of claim 16, wherein, The step of determining whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on at least one of the liquid absorption pressure data and the liquid discharge pressure data, as well as the optical signal change data, includes: When the optical signal change data is greater than a preset threshold and the liquid absorption pressure data is greater than a first liquid absorption pressure threshold but less than a second liquid absorption pressure threshold, or when the optical signal change data is greater than the preset threshold and the liquid discharge pressure data is greater than a first liquid discharge pressure threshold but less than a second liquid discharge pressure threshold, it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel. Wherein, the second liquid absorption pressure threshold is greater than the first liquid absorption pressure threshold, and the second liquid discharge pressure threshold is greater than the first liquid discharge pressure threshold.

18. The method of claim 16, wherein, The step of determining whether there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel based on at least one of the liquid absorption pressure data and the liquid discharge pressure data, as well as the optical signal change data, includes: When the liquid absorption pressure data is greater than the first liquid absorption pressure threshold but less than the second liquid absorption pressure threshold, and the liquid discharge pressure data is greater than the first liquid discharge pressure threshold but less than the second liquid discharge pressure threshold, and the light signal change data is within the corresponding preset value range, it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction container, and the abnormality is specifically a blockage. Wherein, the second liquid absorption pressure threshold is greater than the first liquid absorption pressure threshold, and the second liquid discharge pressure threshold is greater than the first liquid discharge pressure threshold; When the liquid absorption pressure data is greater than the second liquid absorption pressure threshold, or when the liquid discharge pressure data is greater than the second liquid discharge pressure threshold, it is determined that there is an abnormality in the process of the dispensing unit dispensing the target liquid into the reaction vessel, and the abnormality is specifically a blockage.

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