ICU environment dynamic regulation and control system based on CFD simulation

Abstract

The invention provides an ICU environment dynamic regulation and control system based on CFD simulation, and relates to the field of ICU environment dynamic regulation and control systems, the ICU environment dynamic regulation and control system comprises a data monitoring feedback module, the data monitoring feedback module comprises a sensor array, a CFD technology is introduced into ICU environment regulation and control, visual analysis and pre-judgment of a ward airflow field and a temperature field can be realized, and the ICU environment dynamic regulation and control system can be used for realizing ICU environment regulation and control. A scientific basis is provided for regulation and control strategy formulation, distributed sensor array real-time feedback of a data monitoring feedback module is combined, a fuzzy PID algorithm of a dynamic regulation and control module is adopted for dynamic regulation, environment regulation and control are accurate and efficient, and the problems that an existing ICU environment dynamic regulation and control system adopts a traditional central air conditioning system to be combined with a fixed ventilation mode, and a ventilation mode is complex are solved. The problem that pollutants are accumulated and diffused due to the fact that airflow dead angles or vortexes are easily formed due to lack of accurate hydrodynamic analysis is solved.

Description

Technical Field

[0001] This invention relates to the field of dynamic control systems for ICU environments, and more particularly to a dynamic control system for ICU environments based on CFD simulation. Background Technology

[0002] Computational fluid dynamics (CFD) is a technique that uses numerical methods to solve the fluid flow control equations and to simulate, analyze, and predict phenomena such as fluid motion, heat transfer, and mass transfer. It can realize the visualization and quantitative simulation of fluid-related scenarios and is widely used in optimization design in many fields. The intensive care unit (ICU) is a special medical environment that provides centralized monitoring and precise treatment for critically ill patients. Its indoor airflow organization, temperature, humidity, and other environmental parameters are directly related to the patient's recovery process and the working comfort of medical staff.

[0003] Existing ICU environmental dynamic control systems often employ traditional central air conditioning systems combined with fixed ventilation modes, which have the following drawbacks: 1. Airflow organization design relies on experience and lacks precise fluid dynamics analysis, which can easily lead to dead air zones or eddies, resulting in the accumulation and diffusion of pollutants; 2. The control method is static and cannot adjust parameters according to dynamic scenarios such as the number of patients, changes in their condition, and medical procedures. When performing procedures such as endotracheal intubation and sputum suction, the risk of aerosol diffusion increases, and traditional systems are difficult to respond quickly. 3. Parameter feedback is lagging. Data is collected only by a small number of fixed sensors, which cannot fully reflect the differences in the distribution of the ward environment and result in insufficient control precision. Summary of the Invention

[0004] This invention relates to a dynamic control system for ICU environments based on CFD simulation. It introduces CFD technology into ICU environment control, enabling visualized analysis and prediction of airflow and temperature fields in wards, providing a scientific basis for control strategy formulation. Combined with real-time feedback from a distributed sensor array in the data monitoring and feedback module, and dynamic adjustment using a fuzzy PID algorithm in the dynamic control module, the environmental control is precise and efficient. The system employs dual-mode transmission in the data transmission unit and stepless speed regulation in the actuator, resulting in rapid response from parameter anomalies to control completion, and is highly flexible and practical.

[0005] This invention provides a CFD simulation-based dynamic control system for the ICU environment, specifically comprising: a CFD simulation module, a data monitoring and feedback module, a dynamic control module, an actuator, and an auxiliary unit. The CFD simulation module is used to establish a three-dimensional fluid model of the ICU ward and perform simulation calculations of airflow organization and temperature and humidity distribution. The data monitoring and feedback module includes a sensor array, and collects environmental parameters within the ICU ward in real time through the distributed sensor array, generating feedback data. The dynamic control module receives the output results of the CFD simulation module and the feedback data from the data monitoring and feedback module. The actuator responds to the control commands of the dynamic control module. The auxiliary unit includes a model update unit and an anomaly warning unit, respectively realizing dynamic updates of the simulation model and anomaly warnings for environmental parameters.

[0006] Furthermore, the CFD simulation module includes a model building unit, a boundary condition setting unit, and a solution calculation unit. The model building unit establishes a three-dimensional geometric model based on the actual size of the ICU, equipment layout, bed location, and distribution of medical staff channels. The boundary condition setting unit sets the boundary conditions for airflow inlet velocity, temperature, humidity, and outlet pressure. The solution calculation unit uses algorithms to output distribution data such as airflow field and temperature field.

[0007] Furthermore, the data monitoring and feedback module also includes a data acquisition unit and a data transmission unit, and the sensor array includes a temperature and humidity sensor, a PM2.5 sensor, a carbon dioxide sensor, a bacteria concentration sensor, and an airflow velocity sensor. The monitoring points are arranged according to the CFD simulation optimization. The data acquisition unit collects data at a frequency, and after preprocessing, the data is transmitted to the dynamic control module through the data transmission unit.

[0008] Furthermore, the dynamic control module includes a strategy generation unit, an instruction output unit, and a scenario contingency plan library. The strategy generation unit uses a fuzzy PID algorithm to formulate control strategies, the instruction output unit converts the control strategies into control instructions, and the scenario contingency plan library contains control contingency plans for multiple scenarios such as routine monitoring and surgical operations.

[0009] Furthermore, the actuator includes a variable frequency fan, an electric regulating valve, an intelligent air conditioning unit, a directional air outlet, and an air purification device. The variable frequency fan enables stepless speed regulation of the supply and exhaust air volume, the electric regulating valve adjusts the opening of the ventilation duct, the intelligent air conditioning unit dynamically adjusts the cooling / heating power and humidification capacity, the directional air outlet changes the direction of airflow, and the air purification device reduces the concentration of particulate matter and bacteria.

[0010] Furthermore, when the ICU ward layout is adjusted, equipment is added or removed, or the patient's position changes, the model update unit of the auxiliary unit automatically triggers the model construction unit to update the parameters, and the simulation calculation is performed again through the solution calculation unit.

[0011] Furthermore, when the environmental parameters collected by the sensor array exceed the preset safety threshold, the abnormal warning unit of the auxiliary unit immediately sends a warning signal to the dynamic control module and triggers the audible and visual alarm device 521.

[0012] Furthermore, the directional air outlet is equipped with a flow guiding mechanism, which includes an adjusting motor, a positioning block, a positioning screw, and several flow guiding louvers. The adjusting motor is fixedly installed on the side of the directional air outlet, and the positioning screw is rotatably connected to the inside of the directional air outlet. The rotating shaft of the adjusting motor is connected to one end of the positioning screw. The positioning screw is screwed into the inside of the positioning block through a rod thread, and the positioning block is inserted into the inside of the directional air outlet. The flow guiding louvers are rotatably connected to the inside of the directional air outlet, and the flow guiding louvers and the positioning block are connected by a gear and rack transmission.

[0013] Furthermore, the air guiding mechanism is provided in two sets inside the directional air outlet, and the air guiding louvers of the two sets of air guiding mechanisms are perpendicular to each other.

[0014] Furthermore, the directional air outlet is made of antibacterial ABS material and is embedded in the ceiling through an L-shaped metal bracket. The exposed surface is flush with the ceiling, and the exterior of the air guide louvers is coated with an aluminum alloy antibacterial coating.

[0015] This invention provides a dynamic control system for the ICU environment based on CFD simulation, which has the following beneficial effects: 1. The CFD simulation module enables accurate prediction of environmental parameters. Combined with the real-time feedback from the distributed sensor array of the data monitoring and feedback module, the fuzzy PID algorithm of the dynamic control module is used for dynamic adjustment. The temperature and humidity control error is small, the airflow organization uniformity is improved, the airflow dead zone and eddies are effectively avoided, and the control accuracy is high.

[0016] 2. The system adopts dual-mode transmission of the data transmission unit and stepless speed regulation equipment of the actuator, which can respond quickly from parameter abnormality to control completion. For special scenarios such as surgical operation and infection isolation, the system can quickly switch the plan through the scenario plan library to reduce the risk of pollutant spread. The response speed is extremely fast.

[0017] 3. The model update unit supports dynamic updates of ICU ward layout and equipment configuration. It has a built-in multi-scenario control plan library, which can meet the environmental control needs of ICUs of different sizes and types. It is flexible in deployment and can be adapted to the layout and use of different types of ICU wards, making it highly adaptable.

[0018] 4. It achieves full automation of environmental monitoring, simulation analysis, and control execution, reducing manual intervention. At the same time, it has real-time early warning function through the abnormal early warning unit, improving the intelligence level of ICU environmental management and providing a safe and stable rehabilitation environment for critically ill patients. It has a high degree of intelligence. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments will be briefly described below.

[0020] The accompanying drawings described below are only related to some embodiments of the invention and are not intended to limit the invention.

[0021] In the attached diagram: Figure 1 A schematic diagram of the system structure of the CFD simulation module of the present invention is shown.

[0022] Figure 2 A schematic diagram of the system structure of the data monitoring and feedback module of the present invention is shown.

[0023] Figure 3 A schematic diagram of the system structure of the dynamic control module of the present invention is shown.

[0024] Figure 4 A schematic diagram of the system structure of the actuator of the present invention is shown.

[0025] Figure 5 A schematic diagram of the directional air outlet of the present invention is shown.

[0026] Figure 6 The present invention is shown. Figure 5 Internal structural diagram.

[0027] Figure 7 The present invention provides a regulation Figure 6 A schematic diagram of the structure after adjusting the air supply angle.

[0028] Figure 8 The present invention is shown. Figure 6 Enlarged structural diagram of part A in the middle.

[0029] List of reference numerals 1. CFD simulation module; 11. Model building unit; 12. Boundary condition setting unit; 13. Solution calculation unit; 2. Data monitoring and feedback module; 21. Sensor array; 22. Data acquisition unit; 23. Data transmission unit; 3. Dynamic control module; 31. Strategy generation unit; 32. Instruction output unit; 33. Scenario contingency plan library; 4. Actuator; 41. Variable frequency fan; 42. Electric regulating valve; 43. Intelligent air conditioning unit; 44. Directional air outlet; 45. Air purification device; 5. Auxiliary unit; 51. Model update unit; 52. Anomaly early warning unit; 521. Audible and visual alarm device; 6. Flow guiding mechanism; 601. Adjusting motor; 602. Positioning block; 603. Positioning screw; 604. Flow guiding louver. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Please refer to Figures 1 to 8 Example 1: This invention proposes a CFD simulation-based dynamic control system for the ICU environment, comprising: a CFD simulation module 1, a data monitoring and feedback module 2, a dynamic control module 3, an actuator 4, and an auxiliary unit 5. The CFD simulation module 1 is used to establish a three-dimensional fluid model of the ICU ward and perform simulation calculations of airflow organization and temperature and humidity distribution. The data monitoring and feedback module 2 includes a sensor array 21, which collects environmental parameters in the ICU ward in real time through the distributed sensor array 21 and generates feedback data. The dynamic control module 3 receives the output results of the CFD simulation module 1 and the feedback data from the data monitoring and feedback module 2. The actuator 4 responds to the control commands of the dynamic control module 3. The auxiliary unit 5 includes a model update unit 51 and an anomaly warning unit 52, which respectively realize the dynamic update of the simulation model and the anomaly warning of environmental parameters. The anomaly warning unit 52 presets a safety threshold for environmental parameters. When the monitored data exceeds the threshold, it immediately sends an alarm signal to the dynamic control module 3 and triggers an audible and visual alarm device 521 in the ward to alert medical staff.

[0032] The CFD simulation module 1 includes a model building unit 11, a boundary condition setting unit 12, and a solution calculation unit 13. Model building unit 11 obtains the actual size, wall structure, and door and window positions of the ICU ward through laser scanning. Combined with the layout information of medical equipment such as ventilators, monitors, beds, and medical staff passages, a three-dimensional geometric model is built using ANSYS Fluent software. The model mesh is divided using unstructured mesh, and the mesh is refined in key areas such as around the beds and ventilation openings to ensure simulation accuracy. The boundary condition setting unit 12 sets boundary conditions based on ICU environmental standards and equipment rated parameters, such as airflow velocity at the air supply outlet being 0.2-0.5 m / s, temperature being 22-25℃, relative humidity being 40%-60%, and return air outlet pressure being -5 Pa to -10 Pa; the ward enclosure structure is an insulated boundary, and patient respiration is used as a pollutant source, setting the pollutant release rate and concentration; The calculation unit 13 uses the finite volume method to discretize the Navier-Stokes equation, energy equation and pollutant diffusion equation, and selects the SIMPLE algorithm for iterative calculation. After the calculation is completed, the airflow velocity distribution cloud map, temperature and humidity distribution curve and pollutant concentration diffusion trajectory are output to determine the optimal range of parameters such as supply and exhaust air volume and airflow direction.

[0033] The data monitoring and feedback module 2 includes a sensor array 21, a data acquisition unit 22, and a data transmission unit 23. The sensor array 21 includes a temperature and humidity sensor, a PM2.5 sensor, a carbon dioxide sensor, a bacteria concentration sensor, and an airflow velocity sensor. The monitoring points are arranged according to the CFD simulation optimization. The data acquisition unit 22 collects data at a frequency, and after preprocessing, the data is transmitted to the dynamic control module 3 through the data transmission unit 23.

[0034] The dynamic control module 3 includes a strategy generation unit 31, an instruction output unit 32, and a scenario plan library 33. The strategy generation unit 31 adopts a fuzzy PID control algorithm, takes the optimal parameter range output by the CFD simulation module 1 as the target value, takes the actual value of the data monitoring and feedback module 2 as the input, calculates the control deviation and the rate of change of deviation, dynamically adjusts the proportional coefficient, integral coefficient and derivative coefficient, and generates control parameters such as supply and exhaust air volume adjustment value, air conditioning operating power and airflow direction angle. The instruction output unit 32 converts the control parameters into standardized control instructions and sends them to the actuator 4 via the Modbus communication protocol. At the same time, the instruction information and control target are stored in the system database 34 for easy traceability and analysis. The scenario contingency plan library 33 includes control plans for four scenarios: routine monitoring, surgical procedures, infection isolation, and emergency treatment. For example, in the infection isolation scenario, the system automatically increases the supply and exhaust air volume ratio and adjusts the directional air outlet at a 44° angle to make the airflow vertically downward, forming a clean air curtain in the bed area to prevent the spread of pollutants.

[0035] Among them, the actuator 4 includes a variable frequency fan 41, an electric regulating valve 42, an intelligent air conditioning unit 43, a directional air outlet 44, and an air purification device 45; The variable frequency fan 41 adjusts the motor speed via a frequency converter according to the air volume adjustment command, achieving stepless speed regulation of the supply and exhaust air volume, with a speed regulation range of 30%-100% of the rated air volume; The electric regulating valve 42 is installed at the branch of the ventilation duct and adjusts the valve opening from 0 to 100% according to the control command to optimize the airflow distribution in each area. The intelligent air conditioning unit 43 integrates cooling, heating, and humidification functions. It dynamically adjusts the compressor operating frequency and humidifier spray volume according to temperature and humidity control commands to ensure precise temperature and humidity control. The directional air supply outlet 44 optimizes the airflow organization in the bed area based on CFD simulation results to avoid airflow blowing directly on the patient. The air purification device 45 uses a HEPA high-efficiency filter and an ultraviolet disinfection module. Based on pollutant concentration monitoring data, it automatically switches between low, medium and high speeds to quickly reduce the concentration of particulate matter and bacteria in the ward.

[0036] Among them, when the layout of the ICU ward is adjusted, equipment is added or removed, or the patient's position changes, the model update unit 51 monitors the changes in the ICU ward layout in real time, such as equipment movement, bed addition or removal, and changes in patient status. When the amount of change exceeds the preset threshold, the model parameters are automatically updated and the simulation calculation is re-performed to ensure that the simulation results match the actual scenario.

[0037] When the environmental parameters collected by the sensor array 21 exceed the preset safety threshold, the abnormal warning unit 52 of the auxiliary unit 5 immediately sends a warning signal to the dynamic control module 3 and triggers the audible and visual alarm device 521.

[0038] The specific usage and function of this embodiment: In this invention, structural data of an ICU ward in a hospital is collected by a laser scanner. The model building unit 11 uses ANSYS Fluent software to build a three-dimensional geometric model, divides the grid, and refines the grid around the bed and the directional air outlet 44 area. A sensor array 21 is arranged. The temperature and humidity sensor and airflow velocity sensor around the bed are installed at a height of 1.2m. The PM2.5 sensor, carbon dioxide sensor and bacterial concentration sensor at the return air outlet are installed inside the air outlet. The sensor in the central area is installed at a height of 2.0m. All sensors are connected to the control center through the data acquisition unit 22. Four directional air outlets 44 are installed on the top of the ward, two variable frequency fans 41 are installed on the two side walls, electric regulating valves 42 are installed in the ventilation ducts, and two air purification devices 45 are placed in the corners of the ward. All actuators are connected to the dynamic control module 3 through control lines. The CFD simulation module 1 is started. After the parameters are set by the boundary condition setting unit 12, the solution calculation unit 13 performs simulation calculations to obtain the optimal parameter range. The initial environmental data is collected through the data monitoring feedback module 2 to adjust the parameters of the actuators 4. Upon reaching the optimal range, the system defaults to activating the standard monitoring plan in scenario plan library 33. CFD simulation module 1 outputs the optimal parameter range, and data monitoring feedback module 2 collects environmental data every 3 seconds via sensor array 21. When the ward exceeds the upper limit of the optimal range, the strategy generation unit 31 of dynamic control module 3 calculates that the heating power of intelligent air conditioning unit 43 needs to be reduced, and instruction output unit 32 sends an instruction to intelligent air conditioning unit 43. After adjustment, the temperature returns to the normal range. When medical staff perform tracheal intubation surgery in the ward, they can switch to the desired scenario via the system touchscreen. In the surgical operation scenarios in the contingency plan library 33, the corresponding control strategies are automatically invoked. When a patient in a certain bed suddenly becomes infected, the bacterial concentration sensor in the data monitoring feedback module 2 detects that the bacterial concentration in the area exceeds the safety threshold. The abnormal warning unit 52 immediately sends a warning signal, triggering the audible and visual alarm device 521. At the same time, the dynamic control module 3 automatically switches to the infection isolation scenario, increases the air supply and exhaust ratio of the variable frequency fan 41 in the area, the electric regulating valve 42 closes the airflow exchange in the adjacent bed area, the air purification device 45 starts the ultraviolet disinfection module, the bacterial concentration drops below the standard, and the warning is lifted.

[0039] Example 2: Based on Example 1, the directional air outlet 44 is provided with a flow guiding mechanism 6. The flow guiding mechanism 6 includes an adjusting motor 601, a positioning block 602, a positioning screw 603, and several flow guiding louvers 604. The adjusting motor 601 is fixedly installed on the side of the directional air outlet 44, and the positioning screw 603 is rotatably connected to the inside of the directional air outlet 44. The rotating shaft of the adjusting motor 601 is connected to one end of the positioning screw 603. The positioning screw 603 is screwed into the inside of the positioning block 602 through a rod thread, and the positioning block 602 is inserted into the inside of the directional air outlet 44. The flow guiding louvers 604 are rotatably connected to the inside of the directional air outlet 44, and the flow guiding louvers 604 and the positioning block 602 are connected by a gear and rack transmission.

[0040] The air guiding mechanism 6 has two sets inside the directional air outlet 44, and the air guiding louvers 604 of the two sets of air guiding mechanisms 6 are perpendicular to each other. This design can change the air supply angle of the directional air outlet 44 and can be adjusted in four directions to adapt to the environmental control needs of different scenarios.

[0041] The directional air outlet 44 is made of antibacterial ABS material and is embedded in the ceiling through an L-shaped metal bracket. The exposed surface is flush with the ceiling. The exterior of the air guide louver 604 is coated with an aluminum alloy antibacterial coating. This design improves the durability of the directional air outlet 44 and the air guide louver 604.

[0042] The specific usage and function of this embodiment: In this invention, the system controls the air delivery angle of the directional air outlet 44 by adjusting the motor 601. When the motor 601 rotates, it can drive the positioning screw 603 to rotate synchronously. When the positioning screw 603 rotates, it can drive the positioning block 602 to move through the screw thread. When the positioning block 602 moves, it can drive the guide louver 604 to rotate through the gear rack, thereby changing the angle of the airflow. With the cooperation of the two sets of guide mechanisms 6, the function of sending air in any direction can be realized.

Claims

1. A dynamic control system for the ICU environment based on CFD simulation, characterized in that, include: The system comprises a CFD simulation module (1), a data monitoring and feedback module (2), a dynamic control module (3), an actuator (4), and an auxiliary unit (5). The CFD simulation module (1) is used to establish a three-dimensional fluid model of the ICU ward and perform simulation calculations on airflow organization and temperature and humidity distribution. The data monitoring and feedback module (2) includes a sensor array (21), and the data monitoring and feedback module (2) collects environmental parameters in the ICU ward in real time through the distributed sensor array (21) and generates feedback data. The dynamic control module (3) receives the output results of the CFD simulation module (1) and the feedback data of the data monitoring and feedback module (2). The actuator (4) responds to the control commands of the dynamic control module (3). The auxiliary unit (5) includes a model update unit (51) and an abnormal warning unit (52), which respectively realize the dynamic update of the simulation model and the abnormal warning of environmental parameters.

2. The ICU environment dynamic control system based on CFD simulation according to claim 1, characterized in that, The CFD simulation module (1) includes a model building unit (11), a boundary condition setting unit (12), and a solution calculation unit (13). The model building unit (11) establishes a three-dimensional geometric model based on the actual size of the ICU, equipment layout, bed location, and distribution of medical staff channels. The boundary condition setting unit (12) sets the boundary conditions for airflow inlet velocity, temperature, humidity, and outlet pressure. The solution calculation unit (13) uses algorithms to output distribution data such as airflow field and temperature field.

3. The ICU environment dynamic control system based on CFD simulation according to claim 2, characterized in that, The data monitoring feedback module (2) also includes a data acquisition unit (22) and a data transmission unit (23). The sensor array (21) includes a temperature and humidity sensor, a PM2.5 sensor, a carbon dioxide sensor, a bacterial concentration sensor and an airflow velocity sensor. The monitoring points are arranged according to the CFD simulation optimization. The data acquisition unit (22) collects data at the frequency and transmits it to the dynamic control module (3) through the data transmission unit (23) after preprocessing.

4. The ICU environment dynamic control system based on CFD simulation according to claim 3, characterized in that, The dynamic control module (3) includes a strategy generation unit (31), an instruction output unit (32), and a scenario plan library (33). The strategy generation unit (31) uses a fuzzy PID algorithm to formulate a control strategy. The instruction output unit (32) converts the control strategy into a control instruction. The scenario plan library (33) has built-in control plans for multiple scenarios such as routine monitoring and surgical operations.

5. The ICU environment dynamic control system based on CFD simulation according to claim 4, characterized in that, The actuator (4) includes a variable frequency fan (41), an electric regulating valve (42), an intelligent air conditioning unit (43), a directional air outlet (44), and an air purification device (45). The variable frequency fan (41) realizes stepless speed regulation of the supply and exhaust air volume, the electric regulating valve (42) adjusts the opening of the ventilation duct, the intelligent air conditioning unit (43) dynamically adjusts the cooling / heating power and humidification, the directional air outlet (44) changes the direction of airflow injection, and the air purification device (45) reduces the concentration of particulate matter and bacteria.

6. The ICU environment dynamic control system based on CFD simulation according to claim 5, characterized in that, When the layout of the ICU ward is adjusted, equipment is added or removed, or the patient's position changes, the model update unit (51) of the auxiliary unit (5) automatically triggers the model construction unit (11) to update the parameters and re-perform simulation calculations through the solution calculation unit (13).

7. The ICU environment dynamic control system based on CFD simulation according to claim 6, characterized in that, When the environmental parameters collected by the sensor array (21) exceed the preset safety threshold, the abnormal warning unit (52) of the auxiliary unit (5) immediately sends a warning signal to the dynamic control module (3) and triggers the sound and light alarm device (521).

8. The ICU environment dynamic control system based on CFD simulation according to claim 7, characterized in that, The directional air outlet (44) is provided with a flow guiding mechanism (6). The flow guiding mechanism (6) includes an adjusting motor (601), a positioning block (602), a positioning screw (603), and several flow guiding louvers (604). The adjusting motor (601) is fixedly installed on the side of the directional air outlet (44), and the positioning screw (603) is rotatably connected to the inside of the directional air outlet (44). The rotating shaft of the adjusting motor (601) is connected to one end of the positioning screw (603) through a transmission connection. The positioning screw (603) is screwed into the inside of the positioning block (602) through a rod thread, and the positioning block (602) is inserted into the inside of the directional air outlet (44). The flow guiding louvers (604) are rotatably connected to the inside of the directional air outlet (44), and the flow guiding louvers (604) and the positioning block (602) are connected through a gear and rack transmission.

9. The ICU environment dynamic control system based on CFD simulation according to claim 8, characterized in that, The air guiding mechanism (6) is provided in two sets inside the directional air outlet (44), and the air guiding louvers (604) of the two sets of air guiding mechanisms (6) are perpendicular to each other.

10. The ICU environment dynamic control system based on CFD simulation according to claim 9, characterized in that, The directional air outlet (44) is made of antibacterial ABS material and is embedded in the ceiling through an L-shaped metal bracket. The exposed surface is flush with the ceiling, and the exterior of the guide louver (604) is coated with an aluminum alloy antibacterial material.

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