A real-time monitoring and intelligent control system and method for blood separation

Abstract

The application discloses a real-time monitoring and intelligent control system and method for blood separation, comprising a blood separation module, a real-time detection module, a data processing and analysis module and a parameter dynamic adjustment module. The blood separation module is used for performing blood separation operation, the real-time detection module is used for real-time detection of process state parameters in the blood separation operation, the data processing and analysis module compares the state parameters with ideal separation parameters and generates adjustment instructions, and the parameter dynamic adjustment module receives the adjustment instructions and adjusts the operation parameters of the blood separation module. The application utilizes the blood separation module to separate blood to be separated, the real-time detection module detects state parameters, and the operation parameters of the blood separation module are automatically adjusted according to the state parameters, so that efficient and accurate separation of blood is realized, and the separation effect and efficiency are improved.

Description

Technical Field

[0001] This invention relates to the field of blood separation technology, and in particular to a real-time monitoring and intelligent control system and method for blood separation. Background Technology

[0002] Blood separation plays an important role in the field of medical research. In recent years, with the development of automation and intelligent technologies, blood separation equipment has gradually become automated, but there is still room for optimization in real-time monitoring and intelligent control.

[0003] Blood separation is the process of separating, purifying, and enriching different components in whole blood through physical, chemical, or biological techniques.

[0004] In existing blood separation technologies, most procedures are performed using pre-set, fixed parameters. However, due to individual differences in blood samples—with variations in blood cell concentration and plasma composition from different sources—fixed parameters are difficult to adapt to all samples, resulting in inconsistent separation effects and hindering optimal efficiency. For example, traditional blood separation equipment cannot adjust separation parameters based on real-time data such as hematocrit and protein content when separating blood from different individuals. This can easily lead to insufficient or excessive separation, affecting the quality of blood components and subsequent applications, while also consuming more time and resources. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a real-time monitoring and intelligent control system and method for blood separation. This invention utilizes a blood separation module to separate the blood to be separated, and a real-time detection module detects status parameters and automatically adjusts the operating parameters of the blood separation module based on the status parameters, thereby achieving efficient and accurate blood separation and improving separation effect and efficiency.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides a real-time monitoring and intelligent control system for blood separation, comprising: a blood separation module configured to perform blood separation operations, wherein the blood separation module includes a centrifugal separation module, a pumping module and a filtration module, wherein the separation chamber in the centrifugal separation module has a parabolic inner wall with a fixed tilt angle, and the flow field distribution is optimized by CFD fluid simulation;

[0008] The real-time detection module is configured to detect process status parameters in the blood separation operation in real time, and the real-time detection module includes several sensors;

[0009] The data processing and analysis module is configured to receive, process, and analyze process state parameters. The data processing and analysis module uses a preset algorithm model to compare the process state parameters with the ideal separation parameters, obtain the comparison results, and generate adjustment instructions.

[0010] The parameter dynamic adjustment module is configured to receive the adjustment command and adjust the operating parameters of the blood separation module.

[0011] As a further technical solution, the blood separation module uses sedimentation formulas and blood parameters to calculate the sedimentation rate of different components in the blood.

[0012] As a further technical solution, the real-time detection module specifically includes a hematocrit sensor for obtaining the volume percentage of blood cells in the blood; a temperature sensor for measuring the blood temperature and the temperature inside the blood separation module; a pressure sensor for monitoring the pressure of blood flowing in the pipeline and the pressure inside the blood separation module; and a concentration sensor for monitoring the concentration of proteins and electrolytes in the plasma after blood separation.

[0013] As a further technical solution, the adjustment of the operating parameters of the blood separation module includes speed adjustment, flow rate adjustment, temperature adjustment, and time adjustment. Specifically, the speed adjustment is performed by increasing the speed when the hematocrit increases, thereby effectively separating blood cells from plasma.

[0014] As a further technical solution, the specific formula for adjusting the rotational speed is as follows:

[0015] ;in, This indicates the rotational speed of the centrifugal separation module. Hematocrit indicates the blood cell count. and This represents a coefficient determined based on different blood components and separation targets.

[0016] As a further technical solution, the specific method of flow adjustment is as follows: when the pressure exceeds the set pressure threshold, the flow rate is reduced by decreasing the power of the pump to prevent damage to the pipeline; when the separation effect does not meet expectations, the power of the pump is increased to increase the flow rate so that the blood and the separation liquid can be fully mixed and reacted.

[0017] As a further technical solution, the specific method of temperature adjustment is as follows: when the temperature is lower than the set first temperature threshold, the heating device is activated to heat at a constant power; when the temperature is higher than the set second temperature threshold, the cooling capacity is increased to ensure temperature stability.

[0018] As a further technical solution, the specific method of time adjustment is as follows: when separation is incomplete, extend the separation time; when separation meets the standard and there is a tendency for over-separation, end the separation in advance.

[0019] Secondly, the present invention provides a real-time monitoring and intelligent control method for blood separation, based on the real-time monitoring and intelligent control system for blood separation described in any one of the first aspects, comprising: constructing a blood separation module, a real-time detection module, a data processing and analysis module, and a parameter dynamic adjustment module; a preset algorithm model and ideal separation parameters; connecting the blood sample to be separated to the blood separation module for blood separation operation; activating the real-time detection module to acquire the status parameters during the blood separation operation; comparing the status parameters with the ideal separation parameters in the data processing and analysis module and generating adjustment instructions; and receiving the adjustment instructions in the parameter dynamic adjustment module and adjusting the operating parameters of the blood separation module.

[0020] As a further technical solution, the preset algorithm model includes establishing a correlation model between hematocrit and separation rotation speed, a correlation model between pressure and flow rate, and a correlation model between separation time and separation efficiency;

[0021] The correlation model between hematocrit and separation speed uses hematocrit as the input variable and separation speed as the output variable. When hematocrit changes, the real-time hematocrit value is input into the model to calculate the corresponding optimal separation speed. The correlation model between pressure and flow rate is a basic theoretical model constructed by combining texture modeling with data fitting, based on the fundamental equations of fluid mechanics and introducing pipeline characteristic parameters. The correlation model between separation time and separation efficiency uses separation time as the independent variable and separation efficiency as the dependent variable.

[0022] One or more technical solutions of the present invention have the following beneficial effects:

[0023] (1) The present invention uses a variety of high-precision sensors equipped in the real-time detection module to acquire key parameters such as hematocrit, temperature, pressure and component concentration in real time. The data processing and analysis module analyzes the data in combination with the preset algorithm model. The parameter dynamic adjustment module automatically adjusts the operating parameters such as rotation speed, flow rate, temperature and time accordingly. It can adapt to different blood sample characteristics, realize the accurate separation of blood components, and improve the purity and quality of the separated blood components.

[0024] (2) In one aspect of the present invention, the blood separation module adopts a parabolic inner wall and is equipped with a 25° tilt angle. The flow field distribution is optimized by CFD fluid simulation, which improves the separation efficiency by 30% and shortens the time by 40%. On the other hand, the parameter dynamic adjustment module can adjust parameters such as time according to the real-time separation effect, avoid excessive separation time or repeated separation, reduce resource waste, reduce sample reprocessing costs, and shorten the blood residence time in vitro, reduce the risk of infection and blood component denaturation, and extend the service life of the equipment. Attached Figure Description

[0025] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0026] Figure 1 This is a schematic diagram of a real-time monitoring and intelligent control system for blood separation according to the present invention; Detailed Implementation

[0027] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0028] Example 1

[0029] This embodiment provides a real-time monitoring and intelligent control system for blood separation, such as... Figure 1 As shown, the real-time monitoring and intelligent control system in this embodiment includes a blood separation module, a real-time detection module, a data processing and analysis module, and a parameter dynamic adjustment module.

[0030] The blood separation module performs blood separation operations and includes a centrifugation module, a pumping module, and a filtration module. The design focuses on determining the appropriate size and shape of the centrifugation module's separation chamber to maximize separation efficiency and minimize damage to blood cells. In this embodiment, the separation chamber in the centrifugation module has a parabolic inner wall with a fixed tilt angle of 25°. The flow field distribution is optimized through CFD fluid simulation, resulting in a 30% increase in separation efficiency and a 40% reduction in separation time.

[0031] In the blood separation module, sedimentation formulas and blood parameters are also used to calculate the sedimentation rate of different components in the blood.

[0032] The real-time detection module is used to detect and acquire process status parameters during blood separation operations in real time. This module consists of several high-precision sensors. In this embodiment, the real-time detection module specifically includes a hematocrit sensor, a temperature sensor, a pressure sensor, and a concentration sensor. The hematocrit sensor is used to obtain the volume percentage of blood cells in the blood with an accuracy of ±0.5%. For example, during plasma separation, it can provide real-time feedback on the proportion of blood cells in the blood. The temperature sensor measures the blood temperature and the internal temperature of the blood separation module with an accuracy of ±0.2℃, ensuring that the separation process is carried out in a suitable temperature environment and avoiding the impact of abnormal temperature on the activity of blood components. The pressure sensor monitors the pressure of blood flowing in the pipeline and the internal pressure of the blood separation module with an accuracy of ±0.5kPa, preventing abnormal separation caused by excessively high or low pressure. The concentration sensor monitors the concentration of proteins and electrolytes in the plasma after blood separation; for example, the protein concentration detection accuracy can reach ±0.1g / L, providing comprehensive data support for parameter adjustment.

[0033] The data processing and analysis module receives process state parameters acquired by the real-time detection module, processes and analyzes them, and uses a preset algorithm model to compare the process state parameters with the ideal separation parameters, obtain the comparison results, and generate adjustment instructions.

[0034] The preset algorithm models include establishing a correlation model between hematocrit and separation rotation speed, a correlation model between pressure and flow rate, and a correlation model between separation time and separation efficiency.

[0035] A correlation model between hematocrit and separation speed is constructed based on multiple linear regression or machine learning algorithms. Hematocrit is used as the input variable, and separation speed as the output variable. The model is trained by collecting sample data of optimal separation speeds corresponding to multiple hematocrit values. When hematocrit changes, the real-time hematocrit value is input into the model to calculate the corresponding optimal separation speed.

[0036] Pressure-flow correlation model: This model employs a combination of texture modeling and data fitting. Based on fundamental fluid mechanics equations, pipeline characteristic parameters are introduced to construct a basic theoretical model. Then, actual pressure and flow data are used to optimize the model parameters, correcting theoretical deviations and resulting in a more realistic correlation model.

[0037] A model relating separation time and separation efficiency is developed, using separation time as the independent variable and separation efficiency as the dependent variable, and fitting a curve model based on experimental data. Data parameters are determined through training with efficiency test data at multiple sets of different separation times, quantifying the correlation between the two.

[0038] At the same time, we analyze the changing trends of the data to predict potential separation problems. For example, based on the continuous upward trend of pressure data, we can make an early judgment on whether there is a risk of pipeline blockage.

[0039] The parameter dynamic adjustment module adjusts the operating parameters of the blood separation module according to adjustment instructions. These adjustments include speed adjustment, flow rate adjustment, temperature adjustment, and time adjustment. Specifically, speed adjustment is performed by increasing the speed when the hematocrit increases to effectively separate blood cells from plasma. The specific formula for speed adjustment is as follows:

[0040] ;in, This indicates the rotational speed of the centrifugal separation module. Hematocrit indicates the blood cell count. and This represents a coefficient determined based on different blood components and separation targets.

[0041] The specific method for adjusting the flow rate is as follows: based on the blood flow rate, pressure, and separation effect, the flow rate of blood and the separation fluid is adjusted by regulating the pump power. When the pressure exceeds the set pressure threshold, the pump power is reduced to decrease the flow rate to prevent damage to the pipeline; when the separation effect is not as expected, the pump power is increased to increase the flow rate, allowing the blood and separation fluid to mix and react fully.

[0042] The specific method of temperature adjustment is as follows: using heating or cooling devices, the blood temperature and the temperature inside the blood separation module are controlled within a set range based on temperature data. When the temperature is lower than the set first temperature threshold, the heating device is activated to heat at a constant power; when the temperature is higher than the set second temperature threshold, the cooling capacity is increased to ensure temperature stability.

[0043] The specific method for adjusting the time is as follows: the separation time is dynamically adjusted based on the blood sample volume, the complexity of its components, and the real-time separation effect. When separation is incomplete, the separation time is extended; when separation meets the standard and there is a tendency for over-separation, the separation is terminated early.

[0044] Compared to other blood separation systems, the real-time monitoring and intelligent control system for blood separation provided in this embodiment can adapt to the characteristics of different blood samples through real-time detection and dynamic parameter adjustment, enabling more precise separation of blood components, improving the purity and quality of the separated blood components, and meeting the needs of clinical and scientific research for high-quality blood components.

[0045] Meanwhile, by optimizing separation parameters in real time based on data, problems such as excessively long separation times or repeated separations caused by unreasonable parameters are avoided. This significantly shortens the time required for blood separation, improves work efficiency, reduces the time blood remains in vitro, and lowers the risk of infection and denaturation of blood components. Moreover, the efficient separation process reduces resource waste, lowers the cost of reprocessing samples due to poor separation results, and extends the lifespan of the separation equipment, resulting in good economic benefits.

[0046] Example 2

[0047] This embodiment provides a real-time monitoring and intelligent control method for blood separation, based on the real-time monitoring and intelligent control system for blood separation provided in Embodiment 1. The specific method is as follows:

[0048] The system includes a blood separation module, a real-time detection module, a data processing and analysis module, and a parameter dynamic adjustment module. It also includes a preset algorithm model and ideal separation parameters, which include the hematocrit threshold, pressure threshold, first temperature threshold, and second temperature threshold.

[0049] The blood sample to be separated is connected to the blood separation module for blood separation operation. The real-time detection module is started to obtain the status parameters during the blood separation operation. The data processing and analysis module compares the status parameters with the ideal separation parameters and generates adjustment instructions. The parameter dynamic adjustment module receives the adjustment instructions and adjusts the operating parameters of the blood separation module.

[0050] After blood separation is completed, high-quality separated blood components are obtained, and the separation results and related data are output to the user interface or external system for medical staff to refer to and analyze, and for subsequent medical, scientific research and other applications.

[0051] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A real-time monitoring and intelligent control system for blood separation, characterized in that, The application relates to a blood separation system, which comprises a blood separation module, a real-time detection module, a data processing and analysis module and a parameter dynamic adjustment module. The blood separation module is configured to perform a blood separation operation, and comprises a centrifugal separation module, a pumping module and a filtering module. The real-time detection module is configured to detect process state parameters in the blood separation operation in real time. The data processing and analysis module is configured to receive the process state parameters and process and analyze the parameters. The parameter dynamic adjustment module is configured to receive the adjustment instruction and adjust the operating parameters of the blood separation module. The adjustment of the operating parameters of the blood separation module comprises speed adjustment, flow adjustment, temperature adjustment and time adjustment. The specific formula of the rotational speed adjustment is: ; wherein, represents the rotational speed of the centrifugal separation module, represents the hematocrit, and represents a coefficient determined according to different blood components and separation targets.

2. A real time monitoring and intelligent control system for blood separation as claimed in claim 1 wherein, The blood separation module uses a sedimentation formula and blood parameters to calculate the sedimentation rate of different components in blood.

3. A real time monitoring and intelligent control system for blood separation as claimed in claim 1 wherein, The real-time detection module comprises a hematocrit sensor, a temperature sensor, a pressure sensor and a concentration sensor.

4. A real time monitoring and intelligent control system for blood separation as claimed in claim 1 wherein, The flow adjustment comprises reducing the flow rate when the pressure exceeds a set pressure threshold value and increasing the flow rate when the separation effect is not as expected.

5. A real time monitoring and intelligent control system for blood separation as claimed in claim 1 wherein, The temperature adjustment comprises heating when the temperature is below a set first temperature threshold value and increasing the refrigeration capacity when the temperature is above a set second temperature threshold value.

6. A real time monitoring and intelligent control system for blood separation as claimed in claim 1 wherein, The time adjustment comprises prolonging the separation time when the separation is not complete and ending the separation in advance when the separation is complete and over-separation is likely to occur.

7. A method for real-time monitoring and intelligent control of blood separation based on the system for real-time monitoring and intelligent control of blood separation according to any one of claims 1-6, characterized in that, The application also relates to a blood separation method. The method comprises the following steps: building the blood separation module, the real-time detection module, the data processing and analysis module and the parameter dynamic adjustment module; presetting the algorithm model and the ideal separation parameters; connecting a blood sample to be separated into the blood separation module to perform a blood separation operation; starting the real-time detection module to obtain state parameters in the blood separation operation; comparing the state parameters with the ideal separation parameters by the data processing and analysis module to generate an adjustment instruction; and receiving the adjustment instruction by the parameter dynamic adjustment module to adjust the operating parameters of the blood separation module.

8. A method for real time monitoring and intelligent control of blood separation as claimed in claim 7 wherein, The preset algorithm model comprises a correlation model between hematocrit and separation speed, a pressure-flow correlation model and a separation time-separation efficiency correlation model. The hematocrit and separation speed correlation model takes hematocrit as an input variable and separation speed as an output variable, and when the hematocrit changes, the real-time hematocrit value is input into the model to calculate the corresponding optimal separation speed; The pressure and flow correlation model is a basic theoretical model constructed by combining texture modeling with data fitting, introducing pipeline characteristic parameters according to the basic equation of fluid mechanics; the separation time and separation efficiency correlation model takes separation time as an independent variable and separation efficiency as a dependent variable.

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