Intelligent cleaning and disinfecting system for hemodialysis extracorporeal circulation pipeline

Abstract

The invention discloses an intelligent cleaning and disinfecting system for a hemodialysis extracorporeal circulation pipeline, and belongs to the technical field of medical instruments. Comprising the following modules: a real-time monitoring module used for detecting temperature, pressure, liquid level, residual pollutant and disinfectant concentration in a pipeline in real time and feeding back cleaning and disinfection state data; the intelligent control module is used for dynamically adjusting a flowing mode and cleaning disinfectant parameters on the basis of the cleaning and disinfection state data so as to achieve the optimal cleaning effect and the minimum use amount; the flow optimization module integrates a special flow channel structure and a programmable control valve, automatically optimizes the flow mode of the disinfectant in the pipeline according to the control instruction of the intelligent control module, and realizes full contact and efficient cleaning and disinfection; the cleaning disinfectant supply module is used for automatically proportioning and supplying a cleaning solution and a concentrated disinfectant according to the control instruction of the intelligent control module; and the safety protection module is integrated with functions of ultraviolet disinfection, liquid leakage monitoring and ventilation and exhaust, so that sterile and safe operation of the whole system is ensured.

Description

Technical Field

[0001] The present application relates to the field of medical device technology, and more specifically, to an intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation tubing. Background Art

[0002] In the field of modern medical equipment, hemodialysis extracorporeal circulation circuits are widely used to treat patients with diseases such as renal failure. These circuits must be kept highly clean and sterile to ensure the safety and effectiveness of treatment. However, traditional cleaning and disinfection methods have some limitations, such as complex operations, difficulty in real-time monitoring and adjustment of disinfection effects, and consumption of large amounts of disinfectants.

[0003] Some methods have emerged in the prior art to try to improve the cleaning and disinfection effect of pipelines, including using different disinfectants, increasing the flow rate to enhance the flushing effect, and using mechanical equipment to assist in cleaning the inside of the pipeline. However, these methods usually lack the ability to monitor and adjust in real time and cannot accurately manage cleaning and disinfection according to the actual situation inside the pipeline.

[0004] With the advancement of information technology and automation technology, the development of intelligent cleaning and disinfection systems has gradually become the focus of research and application. These systems integrate real-time monitoring technology, intelligent control algorithms and optimized flow design to improve the distribution uniformity and cleaning effect of disinfectants in pipelines, while minimizing the use of disinfectants and system maintenance costs.

[0005] To sum up, how to effectively reduce patients' infection risks and improve treatment outcomes so as to play a positive role in the efficiency of medical resource utilization and environmental protection has become an urgent issue to be addressed. Summary of the invention

[0006] In order to overcome a series of defects in the prior art, the purpose of this application is to provide a hemodialysis extracorporeal circulation circuit intelligent cleaning and disinfection system for the above-mentioned problems, including the following modules:

[0007] Real-time monitoring module, used to detect the temperature, pressure, liquid level, residual pollutants and disinfectant concentration in the pipeline in real time, and feedback the cleaning and disinfection status data;

[0008] Intelligent control module, based on cleaning and disinfection status data, dynamically adjusts flow patterns and cleaning and disinfection liquid parameters to achieve optimal cleaning effect and minimum usage;

[0009] The flow optimization module integrates a special flow channel structure and a programmable control valve, which automatically optimizes the flow pattern of the disinfectant in the pipeline according to the control instructions of the intelligent control module to achieve full contact and efficient cleaning and disinfection;

[0010] The cleaning and disinfection liquid supply module automatically mixes and supplies cleaning liquid and concentrated disinfection liquid according to the control instructions of the intelligent control module;

[0011] The safety protection module ensures the sterile and safe operation of the entire system by integrating ultraviolet disinfection, liquid leakage monitoring and ventilation exhaust functions.

[0012] Furthermore, the real-time monitoring module includes the following units:

[0013] The optical contamination detection unit, by placing a light source and a photoelectric sensor at a specific position in the pipeline, detects the residual contaminants on the inner wall of the pipeline based on the principle of light transmission or reflection, providing a basis for the evaluation of the cleaning effect;

[0014] Electrochemical disinfectant concentration measurement unit, used to monitor the actual concentration distribution of disinfectant at different locations in real time and guide the dynamic adjustment of concentration;

[0015] Ultrasonic fluid composition analysis unit, which analyzes the composition and content changes of the fluid in the pipeline by transmitting and receiving ultrasonic signals;

[0016] Infrared thermal imaging temperature field monitoring unit, using infrared thermal imaging technology to continuously obtain temperature distribution images on the pipeline surface, which is used to monitor heat release and temperature changes during the cleaning process;

[0017] The pressure fluctuation signal decoding unit captures the pressure fluctuation signal during the fluid flow process, decodes it through an artificial intelligence algorithm, and predicts subtle changes in the fluid flow state in the pipeline.

[0018] Furthermore, the actual concentration distribution of disinfectant at different locations is expressed by the following formula: Where C(x, y, z, t) is the disinfectant concentration at time t and spatial position (x, y, z); C0 is the initial concentration; λ is the disinfectant decay constant; t0 is the initial time; N is the number of measurement points; A i is the concentration correction factor associated with the i-th measurement point; α i is the spatial attenuation coefficient associated with the ith measurement point; r i is the distance from the position (x, y, z) to the i-th measurement point, calculated as: Where (x i ,y i , z i ) is the position of the i measurement points.

[0019] Furthermore, the composition and content changes of the fluid are expressed by the following formula: Among them, C iis the concentration of the i-th component in the fluid; f is a function that represents the relationship between the component concentration and the ultrasonic propagation time difference and attenuation; k1 and k2 are unknown proportional constants obtained by fitting experimental data; Δt is the ultrasonic propagation time difference in different fluid components; d is the distance the ultrasonic wave propagates in the pipeline; A is the received ultrasonic signal intensity; A0 is the transmitted ultrasonic signal intensity.

[0020] Furthermore, the relationship between the pressure fluctuation signal and the fluid flow state is expressed by the following formula:

[0021]

[0022] in, Represents the predicted fluid flow state, including flow velocity, turbulence intensity and flow direction; represents the trained machine learning model; P(h) represents the pressure fluctuation signal captured at time h; μ is the average value of the pressure signal; σ is the standard deviation of the pressure signal; P max is the maximum value of the pressure signal; P min is the minimum value of the pressure signal; F FFT is the Fourier transform eigenvector of the pressure signal.

[0023] Furthermore, the intelligent control module includes the following units:

[0024] Fluid dynamics numerical simulation unit, used to perform three-dimensional numerical simulation of the flow of cleaning and disinfecting liquid in the pipeline, providing a theoretical basis for the formulation of flow control strategies;

[0025] The fuzzy logic optimization decision unit combines real-time monitoring data with fluid numerical simulation results, and dynamically optimizes flow patterns, cleaning fluid ratios, and other control parameters through fuzzy logic reasoning;

[0026] Adaptive control unit, which autonomously optimizes control strategies through machine learning algorithms to continuously improve cleaning efficiency and resource utilization efficiency;

[0027] Predictive maintenance unit, based on big data analysis and machine learning, performs pattern recognition on system operation data, detects potential failure risks in advance, and formulates preventive maintenance plans;

[0028] The human-computer interactive decision-making assistance unit visualizes key information through a graphical interface, provides operational suggestions, supports human judgment and assists in making final decisions.

[0029] Furthermore, the real-time monitoring data is combined with the fluid numerical simulation results, and the flow pattern, cleaning fluid ratio and other control parameters are dynamically optimized through fuzzy logic reasoning, including the following steps:

[0030] Obtain real-time data on temperature, pressure, liquid level, pollutant concentration and disinfectant concentration in the pipeline;

[0031] Computational fluid dynamics software was used to perform three-dimensional numerical simulation of the flow of cleaning and disinfecting liquid in the pipeline to obtain theoretical flow field distribution and temperature field data;

[0032] Compare and merge the measured data obtained by real-time monitoring with the theoretical data obtained by fluid numerical simulation to obtain the actual state description of the flow field in the pipeline;

[0033] Based on the fluid flow rules and cleaning and disinfection processes, a fuzzy logic rule base covering various situations is constructed to map the measured data and simulation results to the corresponding control strategies;

[0034] Perform fuzzy logic reasoning on the fused measured and simulated data, and automatically provide the optimized flow pattern, cleaning liquid ratio and other control parameter setting values ​​by traversing the rule base;

[0035] The intelligent control module automatically adjusts the flow rate, pressure and cleaning liquid concentration according to the control parameter setting values ​​given by fuzzy logic reasoning to achieve the optimal cleaning and disinfection state in the pipeline;

[0036] During the entire cleaning and disinfection process, new real-time monitoring data is continuously collected, and a new round of fuzzy logic reasoning is carried out in combination with fluid simulation to continuously optimize the control strategy and adapt to dynamically changing working conditions.

[0037] Furthermore, the flow optimization module includes the following units:

[0038] The pressure gradient regulating unit in the pipeline forms a dynamic pressure gradient field by precisely controlling the pressure difference between the inlet and outlet of the pipeline, so as to prompt the cleaning and disinfecting liquid to flow along the preset path and fully penetrate all areas in the pipeline;

[0039] The vibration-assisted penetration unit generates moderate vibration based on a controllable vibration source set outside the pipeline, which enhances the turbulence effect of the liquid in the pipeline and improves the penetration ability of the cleaning liquid into the inner wall of the pipeline;

[0040] The rotating annular flow channel unit is provided with an annular flow channel in a specific section of the pipeline, and a flow channel rotating mechanism is provided to make the cleaning and disinfecting liquid flow in an annular rotating manner, thereby increasing the relative movement with the inner wall of the pipeline and strengthening the flushing effect;

[0041] The fractionation reflux unit, by setting a separation membrane and a circulation pump in the pipeline, fractionates and recycles the discharged cleaning and disinfecting liquid, separates the effective components and re-injects them into the pipeline for recycling, thus realizing resource recycling;

[0042] The intelligent flow regulating valve dynamically adjusts the flow of each branch in the pipeline based on real-time monitoring data, optimizes the flow distribution of the liquid in the pipeline, and ensures that different areas can be fully cleaned and disinfected.

[0043] Furthermore, the cleaning and disinfection liquid supply module includes the following units:

[0044] The intelligent liquid dispensing unit uses a precise metering pump to accurately mix different liquids into cleaning and disinfecting liquids of the required concentration and composition according to the ratio instructed by the intelligent control module;

[0045] Supercritical fluid preparation unit, used to convert poorly soluble disinfectants into a supercritical state, greatly improving their solubility and bactericidal activity in cleaning fluids;

[0046] Plasma activation unit, used to perform plasma activation treatment on cleaning and disinfecting liquid to improve its redox ability and surface activity, and enhance its cleaning ability against pollutants;

[0047] The electrochemical in-situ regeneration unit is responsible for regenerating partially ineffective cleaning and disinfection liquid in the pipeline, extending its effective use cycle and saving replacement costs;

[0048] The intelligent feeding control unit dynamically adjusts the amount and timing of cleaning and disinfection liquid based on real-time monitoring data and cleaning progress prediction to avoid waste of resources.

[0049] Furthermore, the security protection module includes the following units:

[0050] Sterile isolation cabin unit, through gas filtration and ultraviolet disinfection measures, to maintain the sterility of the entire cleaning and disinfection process;

[0051] Aseptic transfer channel unit, used to achieve aseptic transfer of materials and pipelines;

[0052] The biological contamination monitoring unit is responsible for real-time monitoring of the presence and concentration changes of biological contaminants in the sterile isolation cabin unit;

[0053] The composite sterilization unit integrates multiple sterilization methods to effectively sterilize the cleaned and disinfected pipelines and the inner surface of the cabin;

[0054] The intelligent isolation control unit evaluates contamination risks based on biological contamination monitoring data through artificial intelligence algorithms, automatically adjusts the sterilization strategy, and ensures that the sterile state is maintained continuously.

[0055] Compared with the prior art, the beneficial effects of this application are:

[0056] The present application realizes comprehensive pipeline cleaning and disinfection management through the integration of real-time monitoring module, intelligent control module, flow optimization module, cleaning and disinfection liquid supply module and safety protection module; the present application can monitor the pipeline status in real time, dynamically adjust the flow pattern and disinfectant parameters, and ensure the best cleaning effect and minimum resource consumption; at the same time, through the synergy of intelligent control and flow optimization modules, the system optimizes the flow distribution of disinfectant in the pipeline to ensure comprehensive contact and efficient cleaning and disinfection. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a structural diagram of an intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation piping disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical scheme and advantages of the implementation of the present invention clearer, the technical scheme in the embodiment of the present invention will be described in more detail below in conjunction with the drawings in the embodiment of the present invention. In the drawings, the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The described embodiments are part of the embodiments of the present invention, not all of the embodiments.

[0059] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0060] The embodiments and directional terms described below with reference to the accompanying drawings are exemplary and intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0061] like Figure 1 As shown, an intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation pipelines includes the following modules:

[0062] The real-time monitoring module is used to detect the temperature, pressure, liquid level, residual pollutants and disinfectant concentration in the pipeline in real time, and feedback the cleaning and disinfection status data. Through these data, the cleaning and disinfection status of the pipeline can be accurately understood and feedback can be given in time. This can ensure the cleanliness of the pipeline during the dialysis process and improve the safety and effect of the treatment;

[0063] Intelligent control module, based on the cleaning and disinfection status data, dynamically adjusts the flow pattern and cleaning and disinfection liquid parameters to achieve the best cleaning effect and the minimum amount of cleaning and disinfection liquid. Through intelligent control, it can be optimized according to the actual situation to achieve the best cleaning effect and minimize the use of cleaning and disinfection liquid, saving costs while also reducing the burden on the environment;

[0064] The flow optimization module integrates a special flow channel structure and a programmable control valve. It automatically optimizes the flow pattern of the disinfectant in the pipeline according to the control instructions of the intelligent control module to achieve full contact and efficient cleaning and disinfection. By optimizing the flow pattern, the system can achieve full contact between the disinfectant and the inner surface of the pipeline, thereby achieving efficient cleaning and disinfection. This intelligent optimization can ensure that every part of the pipeline is fully cleaned to prevent bacteria and contaminants from remaining.

[0065] The cleaning and disinfection liquid supply module automatically mixes and supplies cleaning liquid and concentrated disinfection liquid according to the control instructions of the intelligent control module; through reasonable mixing, it can ensure that the concentration of the cleaning and disinfection liquid is just right, which can effectively clean the pipeline without causing unnecessary harm to the pipeline and the patient. Such an intelligent supply module can improve the operating convenience and safety of the system;

[0066] The safety protection module integrates ultraviolet disinfection, liquid leakage monitoring and ventilation and exhaust functions to ensure the sterile and safe operation of the entire system. Ultraviolet disinfection can effectively kill bacteria on the surface of the pipeline, liquid leakage monitoring can detect pipeline leaks in time and take corresponding measures, and ventilation and exhaust functions can ensure the clean air in the pipeline. These safety protection measures can ensure the safety and stability of the dialysis process and reduce the risk of infection for patients.

[0067] Furthermore, the real-time monitoring module includes the following units:

[0068] The optical contamination detection unit, by placing light sources and photoelectric sensors at specific locations in the pipeline, detects the residual contaminants on the inner wall of the pipeline based on the principle of light transmission or reflection, providing a basis for the evaluation of cleaning effects; the optical contamination detection unit provides a reliable basis for the evaluation of cleaning effects. By real-time monitoring of the residual contaminants in the pipeline, problems can be discovered in time and corresponding measures can be taken to ensure the cleanliness of the pipeline;

[0069] The electrochemical disinfectant concentration measurement unit is used to monitor the actual concentration distribution of disinfectants at different locations in real time and guide the dynamic adjustment of concentration. By monitoring the concentration of disinfectants in real time, the proportion and concentration of disinfectants can be adjusted as needed to ensure the maximum cleaning and disinfection effect. This can effectively avoid problems caused by excessive or low concentrations of disinfectants and improve cleaning effects and safety.

[0070] The ultrasonic fluid composition analysis unit analyzes the components and content changes of the fluid in the pipeline by emitting and receiving ultrasonic signals. Through ultrasonic technology, it can monitor the composition changes of the fluid in the pipeline in real time, such as the content of dissolved gas, the concentration of suspended particles, etc., thereby helping to understand the fluid condition inside the pipeline, promptly detect abnormal conditions and take corresponding measures to ensure the smooth progress of the dialysis process.

[0071] The infrared thermal imaging temperature field monitoring unit uses infrared thermal imaging technology to continuously obtain temperature distribution images on the pipeline surface to monitor heat release and temperature changes during the cleaning process. By real-time monitoring of the temperature distribution on the pipeline surface, the heat distribution during the cleaning process can be understood, abnormal conditions can be discovered in time, and adjustments can be made.

[0072] The pressure fluctuation signal decoding unit captures the pressure fluctuation signal during the fluid flow process, decodes it through an artificial intelligence algorithm, and predicts the subtle changes in the fluid flow state in the pipeline. By real-time monitoring of the pressure fluctuation signal in the pipeline, it is possible to understand the changes in the fluid flow state, discover problems in the pipeline in time and take corresponding measures, thereby achieving a more stable and reliable fluid flow and ensuring the smooth progress of the dialysis process.

[0073] Furthermore, the actual concentration distribution of disinfectant at different locations is expressed by the following formula: Where C(x, y, z, t) is the disinfectant concentration at time t and spatial position (x, y, z); C0 is the initial concentration; λ is the disinfectant decay constant; t0 is the initial time; N is the number of measurement points; A i is the concentration correction factor associated with the i-th measurement point; α i is the spatial attenuation coefficient associated with the ith measurement point; r i is the distance from the position (x, y, z) to the i-th measurement point, calculated as: Where (x i ,y i , z i ) is the position of the i measurement points.

[0074] Furthermore, the composition and content changes of the fluid are expressed by the following formula: Among them, C i is the concentration of the i-th component in the fluid; f is a function that represents the relationship between the component concentration and the ultrasonic propagation time difference and attenuation; k1 and k2 are unknown proportional constants obtained by fitting experimental data; Δt is the ultrasonic propagation time difference in different fluid components; d is the distance the ultrasonic wave propagates in the pipeline; A is the received ultrasonic signal intensity; A0 is the transmitted ultrasonic signal intensity.

[0075] Furthermore, the relationship between the pressure fluctuation signal and the fluid flow state is expressed by the following formula:

[0076]

[0077] in, Represents the predicted fluid flow state, including flow velocity, turbulence intensity and flow direction; represents the trained machine learning model; P(h) represents the pressure fluctuation signal captured at time h; μ is the average value of the pressure signal; σ is the standard deviation of the pressure signal; P max is the maximum value of the pressure signal; P min is the minimum value of the pressure signal; F FFT is the Fourier transform eigenvector of the pressure signal.

[0078] Furthermore, the intelligent control module includes the following units:

[0079] The fluid dynamics numerical simulation unit is used to perform three-dimensional numerical simulation of the flow of cleaning and disinfecting liquid in the pipeline, providing a theoretical basis for the formulation of flow control strategies. Through numerical simulation, the flow characteristics of the fluid in the pipeline, such as velocity distribution and pressure changes, can be accurately understood, thereby optimizing the flow pattern and improving the cleaning and disinfection effect.

[0080] The fuzzy logic optimization decision unit combines real-time monitoring data with fluid numerical simulation results, and dynamically optimizes flow patterns, cleaning fluid ratios, and other control parameters through fuzzy logic reasoning. Through fuzzy logic reasoning, the cleaning and disinfection strategy can be dynamically adjusted according to actual conditions to achieve the best cleaning effect and resource utilization efficiency.

[0081] Adaptive control unit, which autonomously optimizes control strategies through machine learning algorithms, continuously improves cleaning efficiency and resource utilization efficiency; through continuous learning and optimization, it can adapt to different environments and working conditions, achieve autonomous control and optimization, and improve system stability and efficiency;

[0082] The predictive maintenance unit uses big data analysis and machine learning to perform pattern recognition on system operation data, detect potential failure risks in advance, and develop preventive maintenance plans. Through predictive maintenance, preventive maintenance can be performed before failures occur, reducing the risk of system failures and ensuring stable operation of the system.

[0083] The human-computer interactive decision-making assistance unit visualizes key information through a graphical interface, provides operational suggestions, supports human judgment and assists in making final decisions.

[0084] Furthermore, the real-time monitoring data is combined with the fluid numerical simulation results, and the flow pattern, cleaning fluid ratio and other control parameters are dynamically optimized through fuzzy logic reasoning, including the following steps:

[0085] Obtain the temperature, pressure, liquid level, pollutant concentration and disinfectant concentration data in the pipeline in real time. This step aims to monitor various parameters in the pipeline in real time, including temperature, pressure, liquid level, pollutant concentration and disinfectant concentration. These data are the basis for evaluating the cleaning and disinfection status of the pipeline, and are also the input for subsequent fluid simulation and control strategy optimization;

[0086] Computational fluid dynamics software is used to perform three-dimensional numerical simulation of the flow of cleaning and disinfecting liquid in the pipeline, and the theoretical flow field distribution and temperature field data are obtained. Through numerical simulation, the flow of cleaning and disinfecting liquid in the pipeline can be simulated, and the flow field distribution and temperature field data can be obtained, which helps to understand the movement law of the fluid in the pipeline and provide a theoretical basis for subsequent control strategies;

[0087] Compare and fuse the measured data obtained by real-time monitoring with the theoretical data obtained by fluid numerical simulation to obtain the actual state description of the flow field in the pipeline. The purpose of this step is to compare and fuse the actual monitoring data with the numerical simulation results to obtain the actual state description of the flow field in the pipeline, so as to verify the accuracy of the numerical simulation and better understand the actual situation in the pipeline;

[0088] Based on the fluid flow law and cleaning and disinfection process, a fuzzy logic rule base covering various situations is constructed, and the measured data and simulation results are mapped to the corresponding control strategies. In this step, a fuzzy logic rule base is constructed based on the fluid flow law and cleaning and disinfection process. These rules cover the control strategies in various situations, and the measured data and simulation results are mapped to the corresponding control parameters;

[0089] Perform fuzzy logic reasoning on the fused measured and simulated data, and automatically give the optimized flow pattern, cleaning liquid ratio and other control parameter setting values ​​by traversing the rule base. By combining the measured and simulated data and traversing the rule base, the optimized flow pattern, cleaning liquid ratio and other control parameter setting values ​​are automatically determined, thereby realizing intelligent optimization for the actual situation.

[0090] The intelligent control module automatically adjusts the flow rate, pressure and cleaning liquid concentration according to the control parameter setting value obtained by fuzzy logic reasoning, so as to achieve the optimal cleaning and disinfection state in the pipeline. The purpose of this step is to automatically adjust the flow rate, pressure and cleaning liquid concentration through the intelligent control module according to the control parameter setting value obtained by fuzzy logic reasoning, so as to achieve the optimal cleaning and disinfection state in the pipeline;

[0091] During the entire cleaning and disinfection process, new real-time monitoring data is continuously collected, and a new round of fuzzy logic reasoning is performed in combination with fluid simulation to continuously optimize the control strategy and adapt to dynamically changing working conditions. This step aims to achieve continuous optimization of the entire cleaning and disinfection process. By continuously collecting new real-time monitoring data and performing a new round of fuzzy logic reasoning in combination with fluid simulation, the control strategy can be continuously optimized to adapt to dynamically changing working conditions and ensure that the cleaning and disinfection effect in the pipeline is always in the best state.

[0092] Furthermore, the flow optimization module includes the following units:

[0093] The pressure gradient regulating unit in the pipeline forms a dynamic pressure gradient field by precisely controlling the pressure difference between the inlet and outlet of the pipeline, which prompts the cleaning and disinfection liquid to flow along the preset path and fully penetrate all areas in the pipeline. By adjusting the pressure gradient, the flow rate and direction of the liquid in the pipeline can be controlled to ensure uniform and sufficient cleaning and disinfection effects;

[0094] The vibration-assisted penetration unit, based on a controllable vibration source set outside the pipeline, generates moderate vibration, enhances the turbulence effect of the liquid in the pipeline, and improves the penetration ability of the cleaning liquid into the inner wall of the pipeline; vibration can destroy the adhesion of the liquid layer and increase the contact with the pipeline surface, thereby improving the cleaning and disinfection effect, especially in dead corners or hard-to-reach areas;

[0095] The rotating annular flow channel unit sets an annular flow channel in a specific section of the pipeline, and sets a flow channel rotating mechanism to make the cleaning and disinfecting liquid flow in an annular rotation, thereby increasing the relative movement with the inner wall of the pipeline, strengthening the flushing effect, effectively cleaning the dirt and microorganisms in the pipeline, and improving the cleaning and disinfection effect;

[0096] The fractionation reflux unit, by setting a separation membrane and a circulation pump in the pipeline, fractionates and recycles the discharged cleaning and disinfecting liquid, separates the effective components and re-injects them into the pipeline for recycling, thus realizing resource recycling, helping to save the use of cleaning and disinfecting liquid, and ensuring the continuity and stability of the cleaning effect in the pipeline;

[0097] The intelligent flow regulating valve dynamically adjusts the flow of each branch in the pipeline according to real-time monitoring data, optimizes the flow distribution of the liquid in the pipeline, and ensures that different areas can be fully cleaned and disinfected. By adjusting the flow, it can ensure that the cleaning and disinfection liquid flows evenly in each area of ​​the pipeline to achieve a comprehensive cleaning and disinfection effect. This also ensures that the best cleaning effect can be achieved under different working conditions.

[0098] Furthermore, the cleaning and disinfection liquid supply module includes the following units:

[0099] The intelligent liquid dispensing unit uses a precise metering pump to accurately mix different liquids into cleaning and disinfecting liquids of the required concentration and composition according to the instructions of the intelligent control module, ensuring that the composition ratio of the cleaning and disinfecting liquid is accurate to meet the disinfection needs in different scenarios, improve the disinfection effect and ensure safety;

[0100] Supercritical fluid preparation unit, used to convert poorly soluble disinfectants into a supercritical state, greatly improving their solubility and bactericidal activity in the cleaning solution, thereby improving the efficacy of the cleaning and disinfecting solution, ensuring that the disinfectant can fully play its role and improving the cleaning and disinfection effect;

[0101] Plasma activation unit, used to perform plasma activation treatment on the cleaning and disinfecting liquid to improve its redox ability and surface activity, and enhance its ability to clean pollutants. Plasma activation can make the cleaning and disinfecting liquid more effective in degrading organic matter and killing microorganisms, thereby improving the cleaning and disinfection effect;

[0102] The electrochemical in-situ regeneration unit is responsible for regenerating partially ineffective cleaning and disinfecting liquid in the pipeline, extending its effective use period and saving replacement costs. Through electrochemical in-situ regeneration, the active ingredients of the disinfectant can be effectively restored, extending its service life and reducing resource waste;

[0103] The intelligent feeding control unit dynamically adjusts the amount and timing of cleaning and disinfection liquid based on real-time monitoring data and cleaning progress prediction to avoid waste of resources. Through intelligent feeding control, it can ensure that the amount of disinfectant used is just right, without excessive use or waste, while ensuring that the cleaning effect meets the requirements.

[0104] Furthermore, the security protection module includes the following units:

[0105] The sterile isolation cabin unit maintains the sterile operation of the entire cleaning and disinfection process through gas filtration and ultraviolet disinfection measures, maintains the sterile state of the cleaning and disinfection environment, prevents the entry of contamination by external microorganisms, and ensures the safety and reliability of the disinfection process;

[0106] Aseptic transfer channel unit is used to realize aseptic transfer of materials and pipelines, ensuring that the material transfer process from the aseptic isolation cabin to other areas will not introduce external contamination and maintain the purity of the transferred materials in a sterile environment;

[0107] The biological contamination monitoring unit is responsible for real-time monitoring of the presence and concentration changes of biological contaminants in the sterile isolation cabin unit. By monitoring the situation of biological contaminants, potential sources of contamination can be discovered in a timely manner to ensure the stability and safety of the sterile environment;

[0108] The composite sterilization unit integrates multiple sterilization methods to effectively sterilize the pipelines and the inner surface of the cabin after cleaning and disinfection, ensuring that there are no residual microorganisms on the inner surface of the pipelines and the cabin to maintain a sterile state;

[0109] The intelligent isolation control unit, based on biological contamination monitoring data, evaluates contamination risks through artificial intelligence algorithms, automatically adjusts the sterilization strategy to ensure that the sterile state is maintained continuously. By intelligently controlling the sterilization strategy, it can respond to potential contamination risks in a timely manner and ensure the reliability and sustainability of the sterile environment.

Claims

1. An intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit, characterized in that: Includes the following modules: Real-time monitoring module, used to detect the temperature, pressure, liquid level, residual pollutants and disinfectant concentration in the pipeline in real time, and feedback the cleaning and disinfection status data; Intelligent control module, based on cleaning and disinfection status data, dynamically adjusts flow patterns and cleaning and disinfection liquid parameters to achieve optimal cleaning effect and minimum usage; The flow optimization module integrates a special flow channel structure and a programmable control valve, which automatically optimizes the flow pattern of the disinfectant in the pipeline according to the control instructions of the intelligent control module to achieve full contact and efficient cleaning and disinfection; The cleaning and disinfection liquid supply module automatically mixes and supplies cleaning liquid and concentrated disinfection liquid according to the control instructions of the intelligent control module; The safety protection module ensures the sterile and safe operation of the entire system by integrating ultraviolet disinfection, liquid leakage monitoring and ventilation exhaust functions.

2. The intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit according to claim 1, characterized in that: The real-time monitoring module includes the following units: The optical contamination detection unit, by placing a light source and a photoelectric sensor at a specific position in the pipeline, detects the residual contaminants on the inner wall of the pipeline based on the principle of light transmission or reflection, providing a basis for the evaluation of the cleaning effect; Electrochemical disinfectant concentration measurement unit, used to monitor the actual concentration distribution of disinfectant at different locations in real time and guide the dynamic adjustment of concentration; Ultrasonic fluid composition analysis unit, which analyzes the composition and content changes of the fluid in the pipeline by transmitting and receiving ultrasonic signals; Infrared thermal imaging temperature field monitoring unit, using infrared thermal imaging technology to continuously obtain temperature distribution images on the pipeline surface, which is used to monitor heat release and temperature changes during the cleaning process; The pressure fluctuation signal decoding unit captures the pressure fluctuation signal during the fluid flow process, decodes it through an artificial intelligence algorithm, and predicts subtle changes in the fluid flow state in the pipeline.

3. The intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit according to claim 2, characterized in that: The actual concentration distribution of disinfectant at different locations is expressed by the following formula: Where C(x, y, z, t) is the disinfectant concentration at time t and spatial position (x, y, z); C0 is the initial concentration; λ is the disinfectant decay constant; t0 is the initial time; N is the number of measurement points; A i is the concentration correction factor associated with the i-th measurement point; α i is the spatial attenuation coefficient associated with the ith measurement point; r i is the distance from the position (x, y, z) to the i-th measurement point, calculated as: Where (x i ,y i , z i ) is the position of the i measurement points.

4. The intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit according to claim 3, characterized in that: The composition and content changes of the fluid are expressed by the following formula: Among them, C i is the concentration of the i-th component in the fluid; f is a function that represents the relationship between the component concentration and the ultrasonic propagation time difference and attenuation; k1 and k2 are unknown proportional constants obtained by fitting experimental data; Δt is the ultrasonic propagation time difference in different fluid components; d is the distance the ultrasonic wave propagates in the pipeline; A is the received ultrasonic signal intensity; A0 is the transmitted ultrasonic signal intensity.

5. The intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit according to claim 4, characterized in that: The relationship between the pressure fluctuation signal and the fluid flow state is expressed by the following formula: in, Represents the predicted fluid flow state, including flow velocity, turbulence intensity and flow direction; represents the trained machine learning model; P(h) represents the pressure fluctuation signal captured at time h; μ is the average value of the pressure signal; σ is the standard deviation of the pressure signal; P max is the maximum value of the pressure signal; P min is the minimum value of the pressure signal; F FFT is the Fourier transform eigenvector of the pressure signal.

6. The intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit according to claim 1, characterized in that: The intelligent control module includes the following units: Fluid dynamics numerical simulation unit, used to perform three-dimensional numerical simulation of the flow of cleaning and disinfecting liquid in the pipeline, providing a theoretical basis for the formulation of flow control strategies; The fuzzy logic optimization decision unit combines real-time monitoring data with fluid numerical simulation results, and dynamically optimizes flow patterns, cleaning fluid ratios, and other control parameters through fuzzy logic reasoning; Adaptive control unit, which autonomously optimizes control strategies through machine learning algorithms to continuously improve cleaning efficiency and resource utilization efficiency; Predictive maintenance unit, based on big data analysis and machine learning, performs pattern recognition on system operation data, detects potential failure risks in advance, and formulates preventive maintenance plans; The human-computer interactive decision-making assistance unit visualizes key information through a graphical interface, provides operational suggestions, supports human judgment and assists in making final decisions.

7. The intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit according to claim 6, characterized in that: The real-time monitoring data is combined with the fluid numerical simulation results, and the flow pattern, cleaning fluid ratio and other control parameters are dynamically optimized through fuzzy logic reasoning, including the following steps: Obtain real-time data on temperature, pressure, liquid level, pollutant concentration and disinfectant concentration in the pipeline; Computational fluid dynamics software was used to perform three-dimensional numerical simulation of the flow of cleaning and disinfecting liquid in the pipeline to obtain theoretical flow field distribution and temperature field data; Compare and merge the measured data obtained by real-time monitoring with the theoretical data obtained by fluid numerical simulation to obtain the actual state description of the flow field in the pipeline; Based on the fluid flow rules and cleaning and disinfection processes, a fuzzy logic rule base covering various situations is constructed to map the measured data and simulation results to the corresponding control strategies; Perform fuzzy logic reasoning on the fused measured and simulated data, and automatically provide the optimized flow pattern, cleaning liquid ratio and other control parameter setting values ​​by traversing the rule base; The intelligent control module automatically adjusts the flow rate, pressure and cleaning liquid concentration according to the control parameter setting values ​​given by fuzzy logic reasoning to achieve the optimal cleaning and disinfection state in the pipeline; During the entire cleaning and disinfection process, new real-time monitoring data is continuously collected, and a new round of fuzzy logic reasoning is carried out in combination with fluid simulation to continuously optimize the control strategy and adapt to dynamically changing working conditions.

8. The intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit according to claim 1, characterized in that: The flow optimization module includes the following units: The pressure gradient regulating unit in the pipeline forms a dynamic pressure gradient field by precisely controlling the pressure difference between the inlet and outlet of the pipeline, so as to prompt the cleaning and disinfecting liquid to flow along the preset path and fully penetrate all areas in the pipeline; The vibration-assisted penetration unit generates moderate vibration based on a controllable vibration source set outside the pipeline, which enhances the turbulence effect of the liquid in the pipeline and improves the penetration ability of the cleaning liquid into the inner wall of the pipeline; The rotating annular flow channel unit is provided with an annular flow channel in a specific section of the pipeline, and a flow channel rotating mechanism is provided to make the cleaning and disinfecting liquid flow in an annular rotating manner, thereby increasing the relative movement with the inner wall of the pipeline and strengthening the flushing effect; The fractionation reflux unit, by setting a separation membrane and a circulation pump in the pipeline, fractionates and recycles the discharged cleaning and disinfecting liquid, separates the effective components and re-injects them into the pipeline for recycling, thus realizing resource recycling; The intelligent flow regulating valve dynamically adjusts the flow of each branch in the pipeline based on real-time monitoring data, optimizes the flow distribution of the liquid in the pipeline, and ensures that different areas can be fully cleaned and disinfected.

9. The intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit according to claim 1, characterized in that: The cleaning and disinfection liquid supply module includes the following units: The intelligent liquid dispensing unit uses a precise metering pump to accurately mix different liquids into cleaning and disinfecting liquids of the required concentration and composition according to the ratio instructed by the intelligent control module; Supercritical fluid preparation unit, used to convert poorly soluble disinfectants into a supercritical state, greatly improving their solubility and bactericidal activity in cleaning fluids; Plasma activation unit, used to perform plasma activation treatment on cleaning and disinfecting liquid to improve its redox ability and surface activity, and enhance its cleaning ability against pollutants; The electrochemical in-situ regeneration unit is responsible for regenerating partially ineffective cleaning and disinfection liquid in the pipeline, extending its effective use cycle and saving replacement costs; The intelligent feeding control unit dynamically adjusts the amount and timing of cleaning and disinfection liquid based on real-time monitoring data and cleaning progress prediction to avoid waste of resources.

10. The intelligent cleaning and disinfection system for hemodialysis extracorporeal circulation circuit according to claim 1, characterized in that: The security protection module includes the following units: Sterile isolation cabin unit, through gas filtration and ultraviolet disinfection measures, to maintain the sterility of the entire cleaning and disinfection process; Aseptic transfer channel unit, used to achieve aseptic transfer of materials and pipelines; The biological contamination monitoring unit is responsible for real-time monitoring of the presence and concentration changes of biological contaminants in the sterile isolation cabin unit; The composite sterilization unit integrates multiple sterilization methods to effectively sterilize the cleaned and disinfected pipelines and the inner surface of the cabin; The intelligent isolation control unit evaluates contamination risks based on biological contamination monitoring data through artificial intelligence algorithms, automatically adjusts the sterilization strategy, and ensures that the sterile state is maintained continuously.

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