CN117825731B - A blood analysis device - Google Patents

Abstract

Embodiments of the present disclosure provide a blood analysis device, comprising: a main controller; the sample receiving module is used for receiving a blood sample to be tested; a detection module comprising a plurality of detection channels and configured to analyze a received blood sample; the display screen is connected with the detection module and used for displaying analysis results; wherein the main controller performs the following operations: obtaining an estimated analysis time for each of a plurality of blood samples in a single batch; calculating the average analysis time of each detection channel according to the obtained estimated analysis time; and performing analysis of the respective blood samples in descending order of the predicted analysis time according to the predetermined detection channel number; if the sum of the analysis time of the blood sample of the single channel and the estimated analysis time of the current blood sample is larger than the average analysis time, the current blood sample is placed in the next detection channel for analysis. By the scheme of the embodiment of the disclosure, the blood analysis efficiency can be improved.

Description

A blood analysis device

Technical Field

The present disclosure belongs to the technical field of high-end equipment manufacturing industry, and specifically relates to detection or measurement related to chemistry or biology, and more specifically to a blood analysis device.

Background technique

Blood analysis devices are commonly used in analytical departments and are devices used to detect and analyze human blood samples. They usually consist of an automated system that can quickly and accurately measure various blood indicators, such as red blood cell counts, white blood cell counts, hemoglobin levels, etc. These data are very important for doctors to diagnose diseases and monitor the health status of patients.

However, there are problems in improving the efficiency of blood analysis. First, the traditional blood analysis method requires the sample to be sent to the laboratory for processing and testing, which may take a long time. Secondly, when conducting large-scale batch testing in the laboratory, it is easy to waste time because the testing time of each sample is different.

Summary of the invention

In view of this, an embodiment of the present disclosure provides a blood analysis device, which at least partially solves the problems existing in the prior art.

In a first aspect, a blood analysis device is provided, comprising:

A main controller for controlling the operation of the entire device;

A sample receiving module, used for receiving a blood sample to be tested;

A detection module, comprising a plurality of detection channels and used for analyzing the received blood sample;

A display screen is connected to the detection module and is used to display the analysis results; preferably

The main controller performs the following operations:

Obtaining the estimated analysis time for each of the multiple blood samples in a single batch;

Calculating an average analysis time for each detection channel based on the obtained estimated analysis time; and

performing analysis of each blood sample in descending order of estimated analysis time according to predetermined detection channel numbers;

If the sum of the blood sample analysis time of a single channel and the estimated analysis time of the current blood sample is greater than the average analysis time, the current blood sample is placed in the next detection channel for analysis.

Preferably, the step of calculating the average analysis time of each detection channel according to the acquired estimated analysis time comprises:

calculating a sum of the estimated analysis times for the plurality of blood samples;

Obtaining an actual average analysis time according to the total analysis time and the number of detection channels; and

The actual average analysis time is rounded to obtain the average analysis time.

Preferably, the main controller performs the following operations while performing the analysis of each blood sample in descending order of the estimated analysis time according to the predetermined detection channel number:

Calculate the sum of the analysis time of the blood samples of two adjacent detection channels and the minimum estimated analysis time of the blood samples not assigned to the detection channel;

respectively calculating the difference between the sum and the average analysis time;

If the signs of the differences are opposite, the blood sample with the shortest estimated analysis time among the blood samples not assigned to the detection channel is assigned to the channel with the smaller absolute value of the difference.

In a second aspect, a blood analysis device is provided, comprising:

A main controller for controlling the operation of the entire device;

A sample receiving module, used for receiving a blood sample to be tested;

A detection module, comprising a plurality of detection channels and used for analyzing the received blood sample;

A display screen is connected to the detection module and is used to display the analysis results; wherein

The main controller performs the following operations:

After allocating the blood samples to each detection channel in descending order of the estimated analysis time, the main controller then allocates the blood samples not allocated to the detection channel to each detection channel in ascending order of the estimated analysis time; and

If the sum of the blood sample analysis time of a single channel and the estimated analysis time of the current blood sample is greater than the average analysis time, the current blood sample is placed in the next detection channel for analysis.

Preferably, an estimated time for obtaining the analysis results is also displayed on the display screen, and the estimated time for obtaining the analysis results is the time obtained by rounding up the average analysis time.

Preferably, a blood analysis device further comprises an automatic sample processing module for automatically processing a blood sample to be tested to improve analysis efficiency.

Preferably, the detection module has multiple detection channels operating in parallel and can analyze multiple samples simultaneously to improve analysis efficiency.

Preferably, the main controller has intelligent algorithms and learning functions, which can optimize the operating process based on historical data and real-time conditions, thereby improving the efficiency of blood analysis.

Preferably, the display screen has an interactive interface and image processing capabilities, providing a more intuitive and easy-to-read information display method while displaying the results, so as to speed up the interpretation of the results.

Preferably, it further includes an automatic marking system, which automatically marks abnormal results or important indicator change points during the detection process, and prompts the user to pay attention through a display screen or an alarm.

Preferably, the sample receiving module has automatic identification and classification functions, and can automatically adjust processing parameters according to different types of blood samples to improve analysis efficiency.

Preferably, the detection module has a fast response time and a highly sensitive sensor, which can accurately detect trace components in a short time and perform real-time monitoring and reporting through the main controller.

Preferably, it further includes a data storage and sharing system to achieve data sharing and remote access between multiple devices so that doctors or researchers can view, compare and analyze the results at any time.

Preferably, the main controller has a preset parameter library and can select a suitable parameter combination for testing according to user needs; this can improve the flexibility and applicability of the operation.

Preferably, it further comprises a quality control system to automatically calibrate the instrument before each use and perform quality control tests regularly; this can ensure the accuracy of the results and reduce the error rate.

The solution of the embodiment of the present disclosure can improve the efficiency of blood analysis.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions of the exemplary implementation methods of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the embodiments of the present disclosure and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

FIG1 is a block diagram of a blood analysis device according to the present invention;

FIG2 is a flow chart of a method executed by a main controller of a blood analysis device according to the present invention;

FIG3 is a diagram showing the allocation of blood sample analysis performed by various detection channels according to an embodiment of the present invention;

FIG4 is a flow chart of determining the average analysis time of each detection channel by calculating the estimated analysis time according to the present invention;

FIG5 is a diagram showing the allocation of blood sample analysis performed by various detection channels according to another embodiment of the present invention;

FIG. 6 shows the allocation of blood sample analysis performed by various detection channels according to yet another embodiment of the present invention.

In the attached drawings: 1-main controller; 2-sample receiving module; 3-detection module; 4-display screen.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure more clear, the embodiments of the present disclosure are further described in detail in combination with the embodiments and drawings. The schematic implementation methods of the embodiments of the present disclosure and their descriptions are only used to explain the embodiments of the present disclosure and are not intended to limit the embodiments of the present disclosure.

First, referring to FIG1 , the blood analysis device of the present invention is a device for analyzing and detecting blood samples, and is composed of a main controller 1 , a sample receiving module 2 , a detection module 3 and a display screen 4 .

The main controller 1 is responsible for controlling and coordinating the operations of each module. It can interact with the user through the user interface and receive instructions input by the user. The main controller 1 can also process data and send the results to the display screen 4 for viewing.

The sample receiving module 2 is a component for receiving the blood sample to be tested. It generally includes a sample inlet for introducing the blood sample to be tested into the device. During the sample introduction process, the blood may need to be pre-treated. In one embodiment, the blood may be diluted or centrifuged to ensure accurate and reliable test results.

The detection module 3 includes multiple detection channels, each of which has a specific function and target substance to analyze. These channels can work simultaneously, thereby improving the efficiency and speed of the test. Each channel is equipped with a corresponding sensor or kit to achieve the detection of a specific indicator or substance.

During the test, the blood sample to be tested will be sent into the test channel to react with sensors or reagents. These sensors can detect various components in the blood, such as protein, sugar, fat, etc., through optical, electrochemical or other physical and chemical methods. Once the test is completed, the results will be sent to the main controller 1 for processing and analysis.

The display screen 4 is the output interface of the device, and is used to display the blood analysis results. It is usually high-definition and easy to read, and can present the results in the form of graphics, numbers or text. The user can operate the display screen 4 by touching the screen or pressing buttons, and view detailed test data and reports.

In addition to the core components mentioned above, the blood analysis device may also include other accessories and functional modules to provide more comprehensive and diverse testing services. In one embodiment, the device may be equipped with a sample storage module for storing the blood sample to be tested for subsequent retesting; it may also be equipped with a data transmission interface for uploading the test results to a computer or cloud for further analysis and storage.

In a specific embodiment, the main controller 1 can be a microprocessor or an embedded system, which can be programmed to operate and control the entire device. The sample receiving module 2 can be designed as a container or a piping system, in which the blood sample to be tested is introduced into the device. The detection module 3 can be composed of a plurality of independent sensors, each of which is responsible for a different analysis channel. These sensors may work based on optical, electrochemical or other physical principles, and can quantify different indicators such as hemoglobin levels, white blood cell counts, etc. Finally, the display screen 4 can be an LCD panel or other suitable device, on which the analysis results are displayed in graphical or digital form for the user to view.

In the laboratory, generally after a batch of blood samples (for example, 50) are collected, the blood samples of the batch are analyzed centrally. The purpose of the blood sample analysis may include, for example, determining individual blood type, evaluating the cause of anemia, monitoring blood infection, evaluating blood coagulation function, and detecting blood tumor markers, etc. These blood sample analyses have different estimated analysis times, for example, the estimated analysis time for determining individual blood type is 5 minutes, the estimated analysis time for evaluating the cause of anemia is 4 minutes, the estimated analysis time for monitoring blood infection is 3 minutes, the estimated analysis time for evaluating blood coagulation function is 2 minutes, and the estimated analysis time for detecting blood tumor markers is 1 minute.

Since the analysis purposes of a batch of 50 blood samples are different, the analysis time of this batch of blood samples is the maximum analysis time among the analysis times of each detection channel. In order to improve the efficiency of blood sample analysis, it is necessary to reduce the maximum analysis time of each detection channel.

To this end, in a specific embodiment of the present invention, as shown in FIG. 2 , the main controller 1 of the blood analysis device of the present disclosure performs the following operations.

S100: Obtaining an estimated analysis time for each of a plurality of blood samples in a single batch.

For example, a batch includes 50 blood samples, and the estimated analysis time of each blood sample can be determined according to the different analysis purposes of each blood sample. For example, if the purpose of blood sample analysis is to determine individual blood type, the estimated analysis time is 5 minutes; if the purpose of blood sample analysis is to evaluate the cause of anemia, the estimated analysis time is 4 minutes; if the purpose of blood sample analysis is to monitor blood infection, the estimated analysis time is 3 minutes; if the purpose of blood sample analysis is to evaluate blood coagulation function, the estimated analysis time is 2 minutes; if the purpose of blood sample analysis is to detect blood tumor markers, the estimated analysis time is 1 minute.

S200: Calculate the average analysis time of each detection channel according to the acquired estimated analysis time.

For example, if the blood analysis device includes 7 detection channels, and among the batch of blood samples, 18 are used to determine individual blood type, 10 are used to evaluate the cause of anemia, 8 are used to monitor blood infection, 9 are used to evaluate blood coagulation function; and 5 are used to detect blood tumor markers, then it can be determined that the average analysis time of each detection channel is (5*18+4*10+3*8+2*9+1*5)/7=25.28min.

S300: Execute analysis of each blood sample in descending order of estimated analysis time according to the predetermined detection channel number.

Specifically, as mentioned above, the estimated analysis time of the 50 blood samples in this batch is in descending order of {5, 5...5, 4, 4...4, 3, 3...3, 2, 2...2, 1, 1, 1, 1, 1}, where 5 means 18, 4 means 10, 3 means 8, 2 means 9, and 1 means 5.

In the present invention, for the seven detection channels A, B, C, D, E, F and G, the analysis of each blood sample is performed in the order of A, B, C, D, E, F, G in descending order of the expected analysis time.

As shown in FIG3 , it shows the allocation of blood sample analysis performed by various detection channels according to the present invention, wherein X1-X18 are 18 blood samples for determining individual blood type, P1-P10 are 10 blood samples for evaluating the cause of anemia, J1-J8 are 8 blood samples for monitoring blood infection, N1-N9 are 9 blood samples for evaluating blood coagulation function; and Z1-Z5 are 5 blood samples for detecting blood tumor markers.

According to the allocation method of the present invention, until the blood sample N6 is allocated, the sum of the detection time of each detection channel will not exceed the average analysis time.

In the present invention, if the sum of the blood sample analysis time of a single channel and the estimated analysis time of the current blood sample is greater than the average analysis time, the current blood sample is placed in the next detection channel for analysis.

Still referring to FIG. 3 , when assigning detection channels to blood sample N7, if the detection channels are still assigned in descending order of the expected analysis time, N7 should be assigned to channel A. However, if N7 is assigned to channel A at this time, the analysis time of channel A will exceed the average analysis time, which may cause the overall analysis time to be longer. Therefore, in the present invention, if the sum of the blood sample analysis time of a single channel and the expected analysis time of the current blood sample is greater than the average analysis time, the current blood sample is placed in the next detection channel for analysis. Specifically, for N7, placing it in detection channel A will make the overall analysis time of channel A greater than the average analysis time. At this time, N7 is assigned to channel B, and the overall analysis time of channel B is calculated. It is found that if N7 is assigned to channel B, the overall analysis time of channel B will also exceed the average analysis time. Then N7 is assigned to channel C, and so on, until N7 is assigned to channel E, the overall analysis time of channel E will not exceed the average analysis time, and then it is determined that N7 is assigned to channel E. Then N8-Z5 are assigned in sequence according to this rule.

It can be found that for Z4 and Z5, their addition to any channel will cause the overall analysis time of the channel to exceed the average analysis time. In this case, these blood samples are assigned to the channel with the smallest average analysis time. In the above example, Z4 and Z5 are assigned to channels B and C.

That is, in the present invention, the average analysis time of each detection channel is calculated according to the expected analysis time of each blood sample, and the analysis of each blood sample is performed in descending order of the expected analysis time according to the predetermined detection channel number. If the sum of the analysis time of the current blood sample on a channel and other completed samples is greater than the average analysis time, the current blood sample is placed in the next detection channel for analysis.

In a specific embodiment, referring to FIG. 4 , the step of determining the average analysis time of each detection channel by calculating the estimated analysis time of the present invention includes:

S401: Calculate the total estimated analysis time of multiple blood samples. This can be done by estimating the time required to complete the analysis of each sample based on the analysis steps required for each sample, and adding up the estimated analysis time of all samples to obtain the total.

S402: Next, according to the total analysis time and the number of detection channels, the actual average analysis time is obtained, which can be obtained by dividing the total analysis time by the number of detection channels.

S403: Finally, the actual average analysis time is rounded to obtain a final average analysis time value.

In the example described above with reference to FIG3 , it can be known that the total estimated analysis time of 50 blood samples is 177 min (5*18+4*10+3*8+2*9+1*5=177), and since the number of channels is 7, the actual average analysis time is 177/7=25.28 min. In the present invention, in order to reduce the amount of calculation, the actual average analysis time can be rounded to obtain the average analysis time.

In a specific embodiment, referring to FIG5 , different from the method shown in FIG3 , the main controller 1 of the blood analysis device of this embodiment further performs the following operations:

S501: Calculate the sum of the analysis time of the blood samples of two adjacent detection channels and the minimum estimated analysis time of the blood samples not assigned to the detection channel.

S502: Calculate the difference between the sum and the average analysis time respectively.

S503: If the signs of the differences are opposite, the blood sample with the shortest estimated analysis time in the unassigned detection channel is assigned to the channel with the smaller absolute value of the difference according to the principle of the smaller absolute value of the difference.

Specifically, as shown in Figure 5, after the detection channel is assigned to the blood sample N6, the detection channel is assigned to the blood sample N7. In descending order, N7 should be assigned to channel A. However, since the total estimated analysis time is greater than the average analysis time when N7 is assigned to channel A, consider assigning N7 to channel B. If the total estimated analysis time is still greater than the average analysis time when N7 is assigned to channel B, consider assigning N7 to channel C, and so on.

In the present invention, in order to prevent the occurrence of the above situation, when allocating channels in descending order of expected analysis time, if the sum of the expected analysis time is greater than the average analysis time, the difference between the sum of the analysis time of the blood samples of the two adjacent detection channels and the average analysis time of the blood samples with the minimum expected analysis time among the blood samples of the unassigned detection channels is also considered. Specifically, in the case of allocating blood sample N7, at this time, channel A has blood samples X1, X8, X15, P4, J1, J8, channel B has blood samples X2, X9, X16, P5, J2, N1, and at this time, the blood samples with the minimum expected analysis time among the blood samples of the unassigned detection channels are Z1-Z5, and their expected analysis time is 1min. At this time, the analysis time of the blood samples in channel A is 5min+5min+5min+4min+3min+3min=25min, and the analysis time of the blood samples in channel B is 5min+5min+5min+4min+3min+2min=24min, and the average time is 25.28min.

At this time, the difference between the sum of the analysis time of the blood samples in channel A and the blood samples with the minimum expected analysis time in the unassigned detection channels and the average analysis time is 25+1-25.28=0.72; and the difference between the analysis time of the blood samples in channel B and the sum of the blood samples with the minimum expected analysis time in the unassigned detection channels and the average analysis time is 24+1-25.28=-0.28, then the signs of the differences are opposite. In this case, the blood sample with the minimum expected analysis time (any one of Z1-Z5) is assigned to the channel with a smaller absolute value of the difference, that is, channel B.

At this time, the blood samples in channel B are X2, X9, X16, P5, J2, N1, and Z1.

Similarly, since N7 is considered to be assigned to channel B, and since the sum of the expected analysis times is greater than the average analysis time when N7 is assigned to channel B at this time, the difference between the sum of the analysis times of the blood samples of detection channels B and detection channel C and the average analysis time of the blood samples with the smallest expected analysis time among the blood samples not assigned to the detection channels is determined according to the method shown in FIG5 , and the blood samples of the detection channels are assigned according to the method shown in FIG5 .

Specifically, at this time, the blood samples of channel B are X2, X9, X16, P5, J2, N1, and Z1, and the blood sample analysis time is 5min+5min+5min+4min+3min+2min+1min=25min; the blood samples of channel C are X3, X10, X17, P6, J3, and N2, and the blood sample analysis time is 5min+5min+5min+4min+3min+2min=24min. Similarly to the above, for example, Z2 can be assigned to channel C, and at this time the blood samples of channel C are X3, X10, X17, P6, J3, N2, and Z2.

Then, similarly, a blood sample Z3 may be set in channel D. At this time, the blood samples in channel D are X4, X11, X18, P7, J4, N3, and Z3.

Next, since there is space in channel E to set N7, N7, N8 and N9 can be set in channels E, F and G in sequence. It should be noted that in this embodiment, the analysis of each blood sample is still performed in descending order of the expected analysis time, that is, after setting the analysis channel of N6, then set the analysis channel of N7, and then set the channels of N8 and N9 in sequence. However, when setting the channel of N7, blood sample N7 cannot be set in channels A, B, C and D. At this time, the method according to FIG. 5 works at the same time, and blood samples with shorter expected analysis time are first set in channels A, B, C and D. At this time, the blood samples of each channel are as follows:

Channel A: X1, X8, X15, P4, J1, J8

Channel B: X2, X9, X16, P5, J2, N1, Z1

Channel C: X3, X10, X17, P6, J3, N2, Z2

Channel D: X4, X11, X18, P7, J4, N3, Z3

Channel E: X5, X12, P1, P8, J5, N4, N7

Channel F: X6, X13, P2, P9, J6, N5, N8

Channel G: X7, X14, P3, P10, J7, N6, N9

At this time, the distance between the A-G channels and the average analysis time is 0.28.

Next, only Z4 and Z5 are left as unassigned detection channels, and they can be assigned to channels with smaller absolute values of differences from the average analysis time. At this time, according to the principle of sequential assignment, they can be assigned to channel A and channel B respectively. That is to say, in this embodiment, the analysis of each blood sample is still performed in descending order of the expected analysis time, but the sum of the analysis time of the blood samples of two adjacent detection channels and the blood samples with the smallest expected analysis time among the unassigned detection channels is calculated at the same time, and whether to perform the analysis position of the blood sample with the smallest expected analysis time first is determined based on the size of the sum time and the average analysis time. It should be understood that the method shown in FIG5 can be executed after a blood sample is set on each channel, without waiting until a blood sample cannot be set (exceeding the average time) on a certain channel in descending order of the expected analysis time.

Compared with the allocation shown in FIG3 , it can be seen that the allocation method shown in FIG5 is similar to the allocation method shown in FIG3 in terms of total time, but the allocation is more compact because the allocation of samples with the minimum expected analysis time is considered in advance in each channel. In other words, compared with the allocation method shown in FIG3 , there are fewer cases of cross-channel allocation of blood samples, which can reduce the time spent on cross-channel allocation of blood samples. For example, when the detection module 3 is a rotating disc, and is moved by a stepper motor in the form of one detection channel at a time, and different blood samples are grabbed from the sample receiving module 2 to a fixed position (the fixed position corresponds to the position where the blood sample is placed on the disc of the detection module 3) by a mechanical arm, the time for rotating the disc back and forth can be reduced, and the loss of the equipment can be reduced, thereby further improving efficiency.

In a specific embodiment, as shown in FIG6 , the present disclosure uses the idea of making the analysis time of each channel close to the average analysis time. After allocating blood samples to each detection channel in descending order of the expected analysis time, the blood samples that are not allocated to the detection channel are then allocated to each detection channel in ascending order of the expected analysis time. This cycle can be repeated so that blood samples with longer analysis time and shortest analysis time are in the same channel, thereby reducing the overall analysis time.

Specifically, according to this method, in FIG6 , the blood samples of each channel are:

Channel A: X1, Z1, X8, N3, X15, J1, P4

Channel B: X2, Z2, X9, N4, X16, J2, P5

Channel C: X3, Z3, X10, N5, X17, J3, P6

Channel D: X4, Z4, X11, N6, X18, J4, P7

Channel E: X5, Z5, X12, N7, P1, J5, P8

Channel F: X6, N1, X13, N8, P2, J6, P9

Channel G: X7, N2, X14, N9, P3, J7, P10

At this time, the distances between the A-G channels and the average analysis time are: 0.28, 0.28, 0.28, 0.28, 1.28, 0.28, 0.28.

At this time, the blood sample with the shortest estimated analysis time among the blood samples not assigned to the detection channel can be assigned to the channel with the smaller absolute value of the difference, that is, blood sample J8 is assigned to channel E, so that the overall analysis time is 27 minutes. Although this method has a longer overall analysis time than the two methods in the above figure, it does not require complex calculations, but only needs to be arranged in ascending and descending order to obtain better results.

Through the above implementation method, the overall analysis efficiency can be improved while avoiding waste of resources.

In a specific embodiment, a blood analysis device disclosed in the present invention displays an estimated time for obtaining analysis results on a display screen, and the estimated time is obtained by rounding up the average analysis time.

In one embodiment, assume that the average analysis time of a blood analysis device is 25.28 minutes. Based on this feature, the device will display the estimated time to obtain the analysis result as 26 minutes on the display screen. In this way, the user can know in advance how long it will take to obtain the final analysis result, and can ensure that the result is available when obtaining the analysis result at the displayed time, thereby improving the user experience.

In a specific embodiment, a blood analysis device disclosed herein includes an automatic sample processing module to improve analysis efficiency, which means that the device has the ability to automatically process blood samples to be tested, thereby reducing manual operations and speeding up analysis.

In one embodiment, the automatic sample processing module can be implemented using the following technology: when the blood sample to be tested is introduced into the device, the sensor or probe can detect its presence and transmit the signal to the control system. The control system performs a series of processing steps on the blood sample according to the preset program and algorithm without human intervention. In one embodiment, it can use a mechanical arm or a fluid pump to move an appropriate amount of blood to the corresponding reagent disk for mixing reaction. Subsequently, the mixture is quantitatively analyzed by optical, electrochemical or other related technical means, and the results are recorded.

In addition, other functional components can be integrated into the automatic sample processing module to further improve the analysis efficiency. In one embodiment, a heating plate with temperature control function can be provided to accelerate the reaction process; multiple channels can be set to process multiple blood samples to be tested at the same time; and it can even be connected to a data management system to achieve real-time monitoring and remote operation.

In a specific embodiment, a blood analysis device disclosed herein has a detection module 3 having multiple detection channels operating in parallel and capable of analyzing multiple samples simultaneously to improve analysis efficiency.

Technically, this feature can be realized by one of the following methods: using a multi-channel system and parallel processing technology. In one embodiment, the device can include multiple independent detection channels, each of which is equipped with a corresponding sensor and signal processing unit. These channels can run simultaneously, and each channel can analyze a sample independently. Through parallel processing technology, the device can analyze multiple samples in the same time period, thereby greatly improving the analysis efficiency.

In one embodiment, the blood analysis device may have 4 detection channels. When 4 samples are placed in different channels, each channel will simultaneously start testing and analyzing the blood parameters (such as red blood cell count, white blood cell count, etc.) of the samples it is responsible for. This means that in the same time period, the device can complete the testing of 4 samples instead of testing them one by one in sequence. Therefore, more samples can be tested and analyzed in the same time, and the overall blood analysis efficiency is significantly improved.

In order to further improve the analysis efficiency, in a specific embodiment, the main controller 1 of a blood analysis device disclosed in the present invention has an intelligent algorithm and a learning function, and can optimize the operation process according to historical data and real-time conditions to improve the blood analysis efficiency.

In one embodiment, the main controller 1 of the device can collect and analyze a large amount of historical data, including information such as different sample types and disease states, and automatically learn in combination with the characteristics of blood samples monitored in real time. Based on these learning results, the main controller 1 can optimize the entire operation process. In one embodiment, the main controller 1 automatically adjusts parameters such as reagent dosage and mixing time during the sample preparation stage; and adjusts factors such as spectral scanning speed and temperature control according to real-time feedback during the detection process. In this way, while ensuring accuracy, the blood analysis device can complete the test and generate results more quickly.

In addition, the main controller 1 can also share and compare various blood analysis data globally by connecting with other devices or cloud databases. By sharing experience and knowledge with other professional institutions or doctors and continuously updating the algorithm model using machine learning technology, the device can continuously improve its performance and gradually adapt to emerging disease types and sample characteristics.

In a specific embodiment, the display screen 4 of a blood analysis device disclosed in the present invention has an interactive interface and image processing functions, aiming to provide a more intuitive and easy-to-read information display method and speed up the interpretation of results.

In one embodiment, the blood analysis device may use a high-resolution touch screen display as the display screen 4. Through the interactive interface design, the user can interact with the device by touching, sliding or clicking. Such a design enables the user to easily browse and select different functional options, such as selecting the type of blood test to be performed, adjusting parameter settings, etc.

In addition, the device is equipped with an image processing function. After the blood sample is analyzed, the relevant data will be processed by an image processing algorithm and presented in a visual form on the display screen. In one embodiment, a bar graph, a curve graph, or a scatter plot is drawn on the display screen to show the relationship or change trend between different indicators. At the same time, color coding or marking can also be used to highlight important information or abnormal results.

Through the above technologies, the blood analysis device can provide a more intuitive and easy-to-read information display method and help users interpret the results more quickly. This can improve work efficiency and accuracy for professionals such as doctors and laboratory technicians, and also make it easier for patients to understand and participate in the treatment process.

In a specific embodiment, a blood analysis device disclosed in the present invention has an automatic marking system, which can automatically identify abnormal results or important indicator change points during the detection process, and prompt the user to pay attention through the display screen 4 or an alarm.

In one embodiment, the automatic labeling system can analyze the data of the blood sample by using advanced algorithms and pattern recognition technology. When abnormal results or changes in important indicators are detected, the system will make judgments based on preset rules and thresholds and pass this information to the display screen 4 or an alarm device.

In one embodiment, during the blood analysis process, if a specific indicator exceeds the normal range, such as an abnormal increase in white blood cell count, the automatic marking system will immediately identify it and treat it as an abnormal result. In addition, if a certain indicator changes significantly, such as a decrease in red blood cell count from a normal level to below a threshold level, the system will also treat it as an important indicator change point and mark it accordingly.

By displaying the screen 4 or an alarm to remind the user to pay attention to these abnormal results or important indicator change points, medical staff can take necessary measures to deal with the patient's condition in time. This automatic marking system not only improves the efficiency and accuracy of the blood analysis device, but also helps medical staff better monitor and manage the health status of patients.

In a specific embodiment, in a blood analysis device disclosed in the present invention, the sample receiving module 2 has automatic identification and classification functions, which means that the device can automatically adjust processing parameters according to different types of blood samples to improve analysis efficiency.

In one embodiment, the blood analysis device can detect specific markers or indicators in the sample by using optical sensors or other appropriate sensing technologies. By identifying and classifying these markers, the device can determine what type of blood sample is being processed (such as whole blood, serum or plasma). Depending on the different types of samples, the device will adjust its internal parameters accordingly, such as reaction time, temperature control, etc. in one embodiment. This enables the device to perform relevant tests more accurately and complete the analysis process in the shortest time.

In addition, the device may also use machine learning algorithms or artificial intelligence technology to achieve the above functions. By training models and comparing them with known data, the system can learn and recognize specific markers present in new samples and classify them into corresponding categories. Over time and with experience, the system will become more and more accurate and better able to adapt to different types of blood samples.

In a specific embodiment, a blood analysis device of the present disclosure can use optical sensing technology as its fast response time and high sensitivity sensor. Optical sensing technology uses light signals to interact with trace components in a sample, and determines the content of the components in the sample by detecting and analyzing the changes in the light signals. This technology has the advantages of rapid response, high accuracy and non-invasiveness, and is suitable for quickly and accurately detecting trace components in blood.

In a specific embodiment, a blood analysis device disclosed in the present invention has a data storage and sharing system that allows data sharing and remote access between multiple devices so that doctors or researchers can view, compare and analyze results at any time.

In one embodiment, this data storage and sharing system can be implemented using cloud computing technology. After the blood sample is analyzed, the results will be digitized and uploaded to a database in a cloud server. Doctors or researchers can access this data remotely through a secure network connection and use specially designed software tools to view, compare and analyze it. They can filter, sort and filter the data as needed, and generate charts or reports to help them understand and interpret the results.

Additionally, the system may include permission management capabilities to ensure that only authorized users can access sensitive information. In one embodiment, only specific doctors or researchers can view a patient's personally identifiable information, and may be required to provide an additional authentication step to gain access.

In a specific embodiment, the main controller 1 of a blood analysis device disclosed in the present invention has a preset parameter library and can select a suitable parameter combination for testing according to user needs. Such a design can improve the flexibility and applicability of the operation.

In one embodiment, the blood analysis device may include a main controller 1, in which a preset parameter library stores various possible test parameters and their corresponding results. The user can provide the required test requirements to the main controller 1 through an interface or other input methods. The main controller 1 selects a corresponding parameter combination from the preset parameter library according to the user's requirements, and transmits these parameters to other components for actual testing.

In one embodiment, when doctors need to perform blood tests on patients, they can use the device and select the required test items (such as white blood cell count, red blood cell count, etc.) on the interface. The main controller 1 will obtain the corresponding test parameter combination from the preset parameter library according to the items selected by the doctor, and send these parameters to the relevant sensors or instruments to perform the actual test. In this way, doctors can customize the test plan according to different patients and different test targets, improving operational flexibility and applicability.

In a specific embodiment, a blood analysis device disclosed in the present invention has a quality control system that automatically calibrates the instrument before each use and performs quality control tests regularly, thereby ensuring the accuracy of the results and reducing the error rate.

In one embodiment, the blood analysis device can be equipped with a built-in calibration module for automatic calibration of the instrument. Before each use, the device will automatically calibrate by detecting and adjusting the performance of key components such as various sensors, electronic components and optical components. This can eliminate the problem of instrument drift caused by long-term use or environmental changes.

In addition, the device includes a function for performing quality control tests at regular intervals. In one embodiment, a standard reference sample (e.g., a solution of known concentration) is set up in the device and analyzed together with the sample to be tested to verify the accuracy and stability of the instrument. By comparing the difference between the actual measured results and the expected values, it can be evaluated whether the instrument needs further adjustment or maintenance.

The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of the embodiments of the present disclosure. It should be understood that the above description is only the specific implementation method of the embodiments of the present disclosure and is not used to limit the protection scope of the embodiments of the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present disclosure should be included in the protection scope of the embodiments of the present disclosure.

Claims (9)

1. A blood analysis device, comprising: A main controller for controlling the operation of the entire device; A sample receiving module, used for receiving a blood sample to be tested; A detection module, comprising a plurality of detection channels and used for analyzing the received blood sample; A display screen is connected to the detection module and is used to display the analysis results; wherein The main controller performs the following operations: Obtaining the estimated analysis time for each of the multiple blood samples in a single batch; Calculating an average analysis time for each detection channel based on the obtained estimated analysis time; and According to the predetermined detection channel number, each blood sample is assigned to the detection channel one by one in descending order of the expected analysis time of the blood sample to perform the analysis of each blood sample; wherein If the sum of the blood sample analysis time of a single channel and the estimated analysis time of the current blood sample is greater than the average analysis time, the current blood sample is placed in the next detection channel for analysis; The steps of calculating the average analysis time of each detection channel based on the obtained estimated analysis time include: calculating a sum of the estimated analysis times for the plurality of blood samples; Obtaining an actual average analysis time according to the total analysis time and the number of detection channels; and The actual average analysis time is rounded to obtain the average analysis time. 2. The blood analysis device according to claim 1, characterized in that the main controller performs the following operations while performing the analysis of each blood sample in descending order of the expected analysis time according to the predetermined detection channel number: Calculate the sum of the analysis time of the blood samples of two adjacent detection channels and the minimum estimated analysis time of the blood samples not assigned to the detection channel; respectively calculating the difference between the sum and the average analysis time; Among the blood samples not assigned to the detection channel, the blood sample having the shortest estimated analysis time is assigned to the channel having the smaller absolute value of the difference. 3. The blood analysis device according to claim 1 is characterized in that an estimated time for obtaining the analysis result is also displayed on the display screen, and the estimated time for obtaining the analysis result is the time rounded up to the integer of the average analysis time. 4. The blood analysis device according to claim 1, characterized in that the detection module comprises a rotating disk, and the disk is moved by a stepping motor in the form of stepping one detection channel each time. 5. The blood analysis device according to claim 1 is characterized in that: the blood analysis device also includes a robotic arm, which is used to grab different blood samples from the sample receiving module to a fixed position, and the fixed position corresponds to the position where the blood sample is placed on the disc of the detection module. 6. A blood analysis device, comprising: A main controller for controlling the operation of the entire device; A sample receiving module, used for receiving a blood sample to be tested; A detection module, comprising a plurality of detection channels and used for analyzing the received blood sample; A display screen is connected to the detection module and is used to display the analysis results; wherein The main controller performs the following operations: After allocating blood samples to each detection channel in descending order of expected analysis time of the blood samples according to the predetermined detection channel numbers, the main controller then allocates blood samples to each detection channel in ascending order of expected analysis time for the blood samples not allocated to the detection channel; and If the sum of the blood sample analysis time of a single channel and the estimated analysis time of the current blood sample is greater than the average analysis time, the current blood sample is placed in the next detection channel for analysis, wherein the average analysis time is obtained by: Obtaining the estimated analysis time for each of the multiple blood samples in a single batch; The average analysis time of each detection channel is calculated based on the estimated analysis time obtained; and The steps of calculating the average analysis time of each detection channel based on the obtained estimated analysis time include: calculating a sum of the estimated analysis times for the plurality of blood samples; Obtaining an actual average analysis time according to the total analysis time and the number of detection channels; and The actual average analysis time is rounded to obtain the average analysis time. 7. The blood analysis device according to any one of claims 1 to 6, characterized in that the multiple detection channels operate in parallel. 8. The blood analysis device according to any one of claims 1 to 6, characterized in that the blood analysis device is also provided with a sample storage module for storing the blood sample to be tested for subsequent retesting. 9. The blood analysis device according to any one of claims 1 to 6, characterized in that: the blood analysis device is also equipped with a data transmission interface for uploading the test results to a computer or cloud for further analysis and storage.