Control method and device for closed cabin environment adjusting equipment

Abstract

The invention discloses a control method of closed cabin environment adjusting equipment, which comprises the following steps of: in response to a system power-on signal, reading a target environment parameter; current physical parameters in the cabin are collected, and the current physical parameters are compared with the read target environment parameters; executing PI feedback operation according to the calculated pressure deviation value to generate a fan frequency instruction, executing PWM modulation operation according to the oxygen concentration deviation value to generate an oxygen production power instruction, and matching preset adsorption and desorption logic according to the carbon dioxide concentration state value to generate a valve group switching instruction and a heating instruction; and taking the executed sensor feedback signal as the input data of the next control period. According to the technical scheme provided by the invention, precise adjustment of the environment in the cabin is realized through multi-dimensional parallel monitoring and a closed-loop feedback mechanism in combination with PI feedback operation and PWM modulation operation, and the response speed, the control precision and the operation stability of the system are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of control systems, and in particular to a control method and device for a closed cabin environment adjusting equipment. BACKGROUND

[0002] The existing closed cabin or small constant pressure environment cabin technology is mainly committed to providing specific air pressure and oxygen environment, but the existing solutions have defects in energy efficiency management and user experience. The conventional high air volume pressurization and ventilation device generally has the problems of high installed power and large running energy consumption, and the low power device does not control the carbon dioxide concentration in the environment, which cannot be used continuously, so that the single experience time is usually maintained below 90 minutes, which cannot meet the needs of users for long-term deep rest or treatment. In addition, in the oxygen supply mode, the existing technology mostly follows the traditional nasal inhalation oxygen supply means, that is, the user is forced to wear a mask or a nasal cannula, which greatly limits the freedom and comfort of activities in the cabin, and the function is relatively single. The high energy consumption, low comfort and rigid operation mode of the existing technology cannot meet the comprehensive needs of users for safety, comfort and long-term stable residence, and there are multiple technical limitations.

[0003] From the perspective of the logical architecture of the control system, the existing equipment mostly adopts independent decentralized control units, lacks unified intelligent management and linkage control between modules. Specifically, the pressurization, oxygen supply and environment maintenance subsystems do not interact, for example, the nasal inhalation oxygen supply is controlled by an independent switch, which cannot automatically respond and adjust according to the changes of the cabin air pressure or air quality. In actual operation, there is a lack of delay start and logic interlocking control mechanism, which easily causes actuator misoperation or equipment damage during working condition switching, and there is a safety hazard. At the same time, due to the lack of variable frequency control strategy for the pressurization fan and the desorption logic of the molecular sieve adsorption, the system is difficult to realize low power consumption operation and continuous and effective treatment of carbon dioxide. How to properly solve the above problems has become a topic that the industry urgently needs to solve. SUMMARY

[0004] The present application provides a control method and device for a closed cabin environment adjusting equipment to realize multi-dimensional parallel monitoring and closed-loop control of the cabin air pressure, oxygen and carbon dioxide concentration through a master controller, generate accurate instructions for different parameter characteristics through PI feedback, PWM modulation and logic matching algorithm, and dynamically correct the deviation in real time, effectively improve the response speed and adjustment accuracy of the system, and also enhance the stability and safety of the cabin environment operation.

[0005] In order to solve the above technical problems, the technical scheme adopted by the present application is as follows: A control method for a closed-cell environment conditioning device is provided, applied to a main controller, wherein the main controller is connected to a pressure control module, an oxygen module, and a carbon dioxide module, comprising: Applied to the main controller, which connects to the pressure control module, oxygen module, and carbon dioxide module, the main controller includes: S1, in response to the system power-on signal, wake up the main controller and execute the self-test program. After confirming that the status of each sensor and communication module is normal, read the target environmental parameters, including the target pressure value, the target oxygen concentration and the target carbon dioxide threshold. S2, with a preset control cycle, the current physical parameters inside the cabin are collected in parallel by pressure sensor, oxygen concentration sensor and carbon dioxide sensor. The current physical parameters include current air pressure value, current oxygen concentration and current carbon dioxide concentration. The current physical parameters are compared with the target environmental parameters read, and the pressure deviation value, oxygen concentration deviation value and carbon dioxide concentration status value are calculated respectively. S3, PI feedback operation is performed according to the calculated pressure deviation value to generate a fan frequency command, PWM modulation operation is performed according to the oxygen concentration deviation value to generate an oxygen production power command, and valve group switching command and heating command are generated according to the carbon dioxide concentration state value by matching the preset adsorption and desorption logic. S4, the generated fan frequency command is sent to the pressurized variable frequency fan to adjust the air pressure in the chamber, the oxygen production power command is sent to the oxygen generator power module to adjust the oxygen supply intensity, the valve group switching command and heating command are sent to the gas path solenoid valve and PTC heater to perform carbon dioxide treatment, and the sensor feedback signal after execution is used as the input data for the next control cycle.

[0006] Furthermore, in S3, a PI feedback operation is performed based on the calculated pressure deviation value to generate a fan frequency command, including: S31, acquire the external atmospheric pressure value, calculate the real-time pressure difference between the current absolute pressure inside the cabin and the external atmospheric pressure value, and automatically correct the target pressure value in combination with the current altitude information to obtain the corrected target pressure value. S32, based on the corrected target pressure setpoint and the current absolute pressure inside the cabin, calculate the pressure deviation e(k) for the current cycle, and combine it with the pressure deviation e(k) for the previous cycle. 1) and the control output u(k) of the previous cycle 1) Substitute into the preset incremental PI control formula: u(k) = u(k) 1) + P × [e(k) e(k 1)] + I × e(k), calculate the current control quantity u(k); S33, the current control quantity u(k) is subjected to amplitude limiting processing, and the limited value is mapped to the drive frequency signal of the frequency converter, which is output to the pressurizing fan as the fan frequency command until the real-time differential pressure stabilizes within the preset range.

[0007] Furthermore, it also includes: In S3, PWM modulation calculation is performed based on the oxygen concentration deviation value to generate an oxygen production power command, including: S34, if the real-time oxygen concentration collected is lower than the target oxygen concentration, then increase the preset step size based on the current PWM duty cycle and generate a high-power oxygen production command to improve the oxygen production rate. S35, if the real-time oxygen concentration has reached or slightly exceeded the target oxygen concentration, reduce the current PWM duty cycle and generate a low-power maintenance command to put the oxygen generator into a low-power operation state. S36, if the real-time oxygen concentration is detected to continuously exceed the preset safety limit, the PWM duty cycle is forcibly adjusted to the minimum safety value or zero value, a shutdown protection command is generated, and an alarm signal is triggered to prevent the oxygen partial pressure in the cabin from being too high.

[0008] Furthermore, it also includes: The step in S3, which generates valve group switching commands and heating commands based on the preset adsorption-desorption logic matched to the carbon dioxide concentration state value, includes: S37, when the carbon dioxide concentration in the cabin is detected to be higher than the preset comfort value, the adsorption circulation fan is started, and the speed of the adsorption circulation fan is dynamically adjusted according to the preset control curve based on the rate of increase of carbon dioxide concentration. S38, when the carbon dioxide concentration in the molecular sieve component under adsorption is detected to reach the desorption threshold, the desorption logic is triggered, a start signal is sent to the desorption circulation fan, and after confirming that the desorption circulation fan is in operation, a heating enable signal is sent to the PTC heater. S39, monitor the heating temperature during the desorption process in real time, and after maintaining the preset desorption time, cut off the heating enable signal of the PTC heater, and after the preset heat dissipation delay, cut off the start signal of the desorption circulation fan.

[0009] Furthermore, including: Valve group switching commands in S3 include: S310, in the first working stage, sends a command to open the first set of solenoid valves and close the second set of solenoid valves, connecting the first molecular sieve assembly with the adsorption gas path, and simultaneously connecting the second molecular sieve assembly with the desorption gas path. The adsorption circulation fan sends the air in the chamber into the first molecular sieve assembly for adsorption, and the desorption circulation fan, in conjunction with the PTC heater, regenerates the second molecular sieve assembly. S311, in the second working stage, a command is sent to close the first group of solenoid valves and open the second group of solenoid valves, switch the gas flow direction, connect the second molecular sieve component with the adsorption gas path, and connect the first molecular sieve component with the desorption gas path. The air in the chamber is sent into the second molecular sieve component for adsorption by the adsorption circulation fan, and the first molecular sieve component is regenerated by the desorption circulation fan in conjunction with the PTC heater. S312, during the interval between the switching between the first working stage and the second working stage, the main controller records the current adsorption and desorption status and the position of each valve into a non-volatile memory to ensure that the system can continue the operating logic of the previous moment after a power failure and restart.

[0010] Furthermore, it also includes: S5, system shutdown and fault protection, specifically includes: S51, after receiving the shutdown command, the main controller does not immediately cut off the main power supply. Instead, it first sends a command to stop the operation of the oxygen generator and the carbon dioxide adsorption module, and then controls the PTC heater to stop heating and keeps the fan running for a set delay time to dissipate residual heat. S52, after the delay time ends, shut down the pressurized variable frequency fan and the air pressure control valve, save the current operation log and status parameters, and finally control the system to enter the low power standby mode. S53, during the entire operation of the system, if the temperature sensor detects that the temperature of the fan or heater exceeds the physical safety threshold, it triggers a hardware-level interrupt signal, cuts off the drive power of the corresponding actuator and locks the system state until a manual reset signal is received.

[0011] The present invention also provides a control device for a closed-cell environment conditioning device, comprising a processor and a computer-readable storage medium connected to each other, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the control method for the closed-cell environment conditioning device described above.

[0012] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the control method for the closed-cell environment conditioning device described above.

[0013] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the control method for the closed chamber environment conditioning device described above.

[0014] Compared with the prior art, the advantages of the present invention are as follows: the main controller realizes multi-dimensional parallel monitoring and closed-loop control of cabin air pressure, oxygen and carbon dioxide concentration, and generates precise instructions for different parameter characteristics through PI feedback, PWM modulation and logic matching algorithms, and combines real-time feedback to dynamically correct deviations, thereby improving the system's response speed and adjustment accuracy, and also enhancing the stability and safety of cabin environment operation. Attached Figure Description

[0015] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0016] Figure 1 A flowchart of a control method for a closed-cell environment conditioning device provided as an embodiment of the present invention; Figure 2 A flowchart of another control method for a closed-cell environment conditioning device provided in an embodiment of the present invention; Figure 3 A flowchart of a control method for a closed-cell environment conditioning device provided as an embodiment of the present invention; Figure 4 A flowchart of a control method for a closed-cell environment conditioning device provided as an embodiment of the present invention; Figure 5 A flowchart of a control method for a closed-cell environment conditioning device provided as an embodiment of the present invention; Figure 6 A flowchart of a control method for a closed-cell environment conditioning device provided as an embodiment of the present invention; Figure 7 This is a structural diagram of a control device for a closed-cell environment conditioning system provided as an embodiment of the present invention. Detailed Implementation

[0017] The present invention will be further described below with reference to the accompanying drawings and specific preferred embodiments, but this does not limit the scope of protection of the present invention.

[0018] The technical solution adopted in this embodiment is as follows: Figure 1As shown, this is applied to the main controller, which is connected to the pressure control module, oxygen module, and carbon dioxide module, and includes the following steps S1-S4: S1, in response to the system power-on signal, wake up the main controller and execute the self-test program. After confirming that the status of each sensor and communication module is normal, read the target environmental parameters, including the target pressure value, the target oxygen concentration and the target carbon dioxide threshold. S2, with a preset control cycle, the current physical parameters inside the cabin are collected in parallel by pressure sensor, oxygen concentration sensor and carbon dioxide sensor. The current physical parameters include current air pressure value, current oxygen concentration and current carbon dioxide concentration. The current physical parameters are compared with the target environmental parameters read, and the pressure deviation value, oxygen concentration deviation value and carbon dioxide concentration status value are calculated respectively. S3, PI feedback operation is performed according to the calculated pressure deviation value to generate a fan frequency command, PWM modulation operation is performed according to the oxygen concentration deviation value to generate an oxygen production power command, and valve group switching command and heating command are generated according to the carbon dioxide concentration state value by matching the preset adsorption and desorption logic. S4, the generated fan frequency command is sent to the pressurized variable frequency fan to adjust the air pressure in the chamber, the oxygen production power command is sent to the oxygen generator power module to adjust the oxygen supply intensity, the valve group switching command and heating command are sent to the gas path solenoid valve and PTC heater to perform carbon dioxide treatment, and the sensor feedback signal after execution is used as the input data for the next control cycle.

[0019] The hardware architecture centers on a main controller, typically built on a high-performance microprocessor (such as the ARM Cortex-M series) with integrated storage for control programs and parameters. The main controller establishes bidirectional connections with three functional sub-modules via standard communication buses (such as CAN or RS485), forming a centrally managed distributed system. The pressure control module includes a pressurized variable frequency fan and its drive circuitry, as well as a high-precision pressure sensor for monitoring absolute pressure or differential pressure within the chamber. The oxygen module includes an oxygen generator (often employing the molecular sieve pressure swing adsorption principle), a controllable power supply module, and an electrochemical or optical oxygen concentration sensor for real-time monitoring of oxygen partial pressure within the chamber. The carbon dioxide module consists of a gas path solenoid valve assembly, a PTC heater for regenerating the adsorbent (such as lithium hydroxide), and an infrared carbon dioxide sensor. Additionally, the system typically includes a human-machine interface and audible / visual alarm units for parameter setting and status display.

[0020] The control process begins with the system's power-on startup, i.e., step S1. Upon receiving the power-on signal, the main controller wakes up from its low-power state and performs initialization. First, a self-test program is run. The main controller sends handshake query commands to each sensor and communication interface to confirm that the pressure sensor, oxygen concentration sensor, carbon dioxide sensor, and bus communication link are all functioning correctly. If any hardware fault is detected, the controller will lock the system and trigger an alarm; if the self-test passes, it enters the parameter loading stage. The controller reads preset target environmental parameters from non-volatile memory. These target environmental parameters are the baseline values ​​for maintaining a specific environment, mainly including: the target pressure value P. target (Unit: kPa), Target oxygen concentration O 2target (Unit: %vol), and the carbon dioxide threshold CO 2target (Unit: %vol or ppm).

[0021] After the system enters stable operation, step S2 will be executed, which involves cyclic control with a fixed control cycle T (e.g., 100ms). At the beginning of each cycle, the main controller triggers data acquisition from all sensors in parallel. The pressure sensor, oxygen sensor, and carbon dioxide sensor work synchronously, converting the physical quantities inside the cabin into electrical signals. After analog-to-digital conversion and filtering, a set of current physical parameters is obtained: the current air pressure value P. current Current oxygen concentration O 2current and current carbon dioxide concentration CO 2current Subsequently, the main controller immediately performs real-time comparison and deviation calculation, using ΔP = P current - P target The pressure deviation value ΔP is obtained; through ΔO2= O 2current - O 2target Calculate the oxygen concentration deviation value ΔO2; simultaneously, calculate the current carbon dioxide concentration CO. 2current With the target carbon dioxide threshold CO 2limit The comparison generates a carbon dioxide concentration state value S used to determine whether the adsorption process needs to be initiated. CO2 For example, the state value of carbon dioxide concentration S CO2 A value of 0 indicates that the carbon dioxide concentration is within the limit; this is the state value S. CO2 A value of 1 indicates that the value exceeds the limit.

[0022] Based on the pressure deviation, oxygen concentration deviation, and carbon dioxide concentration status values ​​calculated in step S2, the main controller executes three different control algorithms in parallel in step S3 to generate corresponding drive commands. For pressure control, a proportional-integral (PI) control algorithm is used to calculate the pressure deviation ΔP. The proportional term responds quickly to pressure changes, the integral term eliminates static errors, and a smooth fan frequency command is synthesized, which directly corresponds to the speed that the variable frequency fan should reach. For oxygen concentration control, pulse width modulation (PWM) calculation is performed based on the oxygen concentration deviation ΔO2 to generate an oxygen production power command with an adjustable duty cycle. This oxygen production power command linearly controls the output power of the oxygen generator power module to adjust the oxygen production rate. For carbon dioxide control, the controller calculates the oxygen production rate based on the status value S... CO2 The system queries a preset action logic table to generate valve group switching commands that control the on / off state of the air circuit, as well as heating commands that initiate the regeneration program when needed.

[0023] In a preferred embodiment, the following process is performed.

[0024] 1. System startup phase (startup and preparation) 1.1 Power-on detection and startup trigger: An external power supply signal generates system power. The main controller powers on and enters the initialization process, and the display screen displays the power-on self-test.

[0025] 1.2 Main controller self-test: Checks whether the main controller, communication, pressure, temperature, humidity, water shortage detection and other modules are normal. If abnormal, an alarm is triggered and the system waits for processing.

[0026] 1.3 Parameter setting and user confirmation: Users set target parameters (pressure, temperature, humidity, desorption time, delay, etc.) through the display screen, and can only start operation after confirmation.

[0027] 1.4 Door and Personnel Inspection: Check the status of the door and personnel confirmation signal. If the door is not closed or no one is present, suspend the start-up process.

[0028] 2. Working Mode and Main Loop (Overall Scheduling) 2.1 Main loop logic: The main control cycle executes sensor acquisition, control calculation, execution output, alarm detection and log recording. The task priority is safety > mode switching > control > recording.

[0029] 2.2 Mode Management: Includes standby, running, deep de-attachment, and shutdown modes. Switches are made based on commands or status to ensure smooth transitions and interlocking security.

[0030] 3. Pressure and Temperature Control Subprocess Based on geographical location and weather conditions, the system autonomously determines the desired pressure and temperature signals, outputting valve opening and fan commands. It adjusts valve opening via control curves to maintain stable pressure and temperature within the chamber. An alarm is triggered and the system shuts down upon detecting any abnormalities.

[0031] This control system uses a main controller to perform closed-loop regulation of the cabin pressure, achieving dynamic balance between the cabin pressure and the external ambient pressure. The system includes a fan frequency converter control module, a fan thermal protection switch, an ambient atmospheric pressure detection unit, and a data acquisition and feedback calculation unit. The main controller performs a pressure feedback regulation calculation at a fixed interval (500ms) to achieve precise control of the fan speed.

[0032] First, the main controller collects the absolute pressure of the air inside the cabin in real time through pressure sensors and compares it with the external pressure output by the ambient atmospheric pressure sensor to calculate the current pressure difference ΔP. Based on the system operating mode and geographical location information, the controller can automatically set the target cabin pressure P_set. For example, in high-altitude areas, it can autonomously adjust the target pressure according to the altitude to maintain a comfortable oxygen partial pressure level for the human body.

[0033] Within each feedback cycle, the main controller calculates the pressure deviation e(k) = P_set. P_real executes a PI control algorithm, where the proportional gain P = 0.01 and the integral gain I = 0.001. The controller calculates the output control quantity according to the following formula: u(k) = u(k 1) + P × [e(k) e(k 1)] + I × e(k) The calculated control quantity u(k) is limited (range 0–100) and output as a control signal to the fan frequency converter module to adjust the fan's operating frequency and air volume output. When the fan speed increases, the air pressure inside the chamber rises accordingly; when the pressure reaches the set target value, the control quantity tends to stabilize, achieving air pressure balance.

[0034] Meanwhile, to prevent the fan from overheating, the system is equipped with a thermal switch to monitor the fan temperature. When the temperature exceeds a preset threshold, the thermal switch activates, the main controller immediately interrupts the fan drive signal and issues an alarm, and the fan can only be restarted after the temperature recovers. The system also records the pressure, airflow, control output, and temperature data for each adjustment cycle in the storage unit for operational status analysis and adaptive parameter optimization.

[0035] Using the above methods, this system can automatically balance and adjust the cabin pressure under different altitudes and load conditions, and has the advantages of fast response speed, high adjustment accuracy, and safe and reliable operation.

[0036] 4. Oxygen generation function control sub-process The oxygen generator can be activated either by the user or automatically based on existing environmental parameters, with oxygen production intensity controlled by PWM. If the oxygen concentration is detected to be too low, the oxygen generator will immediately stop and an alarm will be triggered. Intermittent operation and closed-loop control of oxygen partial pressure can be configured.

[0037] This control system dynamically adjusts the oxygen generator's power through a main controller, achieving stable control of the oxygen concentration inside the chamber and energy-saving operation. The system includes an oxygen generator frequency converter control module, an oxygen concentration sensor, an oxygen partial pressure sensor, and a feedback control unit. The main controller performs a control calculation once every 500ms feedback period.

[0038] First, the main controller collects the output signals from the oxygen concentration sensor and the oxygen partial pressure sensor in real time to obtain the oxygen volume fraction C_real and oxygen partial pressure P_O2_real in the cabin, respectively. Based on human medical and health standards, the system presets a target oxygen concentration C_set, for example, a set value within the range of 20% to 25%, to meet the physiological needs of different users in a confined environment.

[0039] In each feedback cycle, the main controller calculates the current oxygen concentration deviation: e(k) = C_set C_real The output power signal of the oxygen concentrator is determined based on feedback control and PWM modulation strategies. The control output u(k) varies within the range of 0 to 100, corresponding to the PWM duty cycle of the oxygen concentrator's power module, thereby achieving precise control of the oxygen concentrator's variable frequency power. The specific control logic is as follows: when the oxygen concentration is detected to be lower than the target value, the controller increases the PWM duty cycle, causing the oxygen concentrator power to gradually increase and accelerate the oxygen production rate; When the oxygen concentration reaches or slightly exceeds the target value, the controller reduces the PWM duty cycle, causing the oxygen generator to enter a low-power maintenance state. If the oxygen concentration continues to exceed the set upper limit, the controller will reduce the output duty cycle to the minimum safe value to prevent excessive oxygen supply and save energy.

[0040] During operation, the main controller synchronously records parameters such as oxygen concentration, oxygen partial pressure, PWM duty cycle, and power consumption to form a dynamic dataset for subsequent energy-saving optimization and adaptive control.

[0041] To further enhance safety, the system is equipped with an anomaly protection logic: if a fault such as oxygen concentration sensor failure, abnormal oxygen partial pressure, or oxygen generator overload is detected, the controller immediately shuts down the PWM output and triggers an alarm to ensure that the system stops operating in a safe state.

[0042] Through the above control methods, this system can automatically adjust the oxygen generator power according to the real-time changes in the oxygen concentration in the chamber, achieving rapid response and stable control, while avoiding the oxygen generator from running at full load for a long time, effectively reducing energy consumption and extending the service life of the equipment.

[0043] 5. PTC Positive Temperature Coefficient Thermistor Heating and Desorption Control Subprocess This invention provides a method for alternating carbon dioxide adsorption / desorption for energy-saving operation, enabling long-term stable control of CO2 concentration and optimization of molecular sieve energy efficiency. This method achieves continuous operation and energy-saving control by coordinating the control of the fan, heating element, and gas path valves, allowing two sets of molecular sieves to alternate between adsorption and desorption states.

[0044] The system configuration includes two independent molecular sieve components (molecular sieve 1 and molecular sieve 2), two circulating fans (YP001 and YP002), a PTC (positive temperature coefficient thermistor) heating element, and multiple sets of adsorption / desorption channel solenoid valves (YY001~YY008). The system collects gas concentrations in real time through oxygen and carbon dioxide sensors and performs closed-loop control in conjunction with temperature and pressure signals. The controller has a power-off save function, which can record the previous operating state to ensure the continuity of adsorption / desorption logic during the next startup.

[0045] When the system determines that it needs to enter desorption mode based on sensor parameters, it automatically starts the fan and PTC heater sequentially, maintaining the corresponding temperature and time according to the set control curve. During the control cycle, the controller monitors the temperature curve and operating status in real time. If over-temperature, open circuit, or fan malfunction occurs, the interruption protection logic is executed, shutting down the PTC heater and stopping the relevant fan. After the desorption phase ends, the system shuts down the PTC heater and fan sequentially according to the preset order to ensure safe system shutdown.

[0046] The alternating operation logic of the molecular sieve is as follows: Step 1: Molecular sieve 1 adsorption, molecular sieve 2 desorption The adsorption circulating fan YP002 starts (AO output) and is responsible for sending air into molecular sieve 1 for CO2 adsorption. The desorption circulating fan YP001 starts (AO output), and works with the PTC heater to desorb the CO2 adsorbed in the molecular sieve 2; Adsorption / desorption channel valves YY001, YY004, YY005, and YY008 are opened to ensure proper airflow. Adsorption / desorption channel valves YY002, YY003, YY006, and YY007 are closed; The PTC heating element starts working, heating the desorbed gas stream.

[0047] Step 2: Molecular sieve 2 adsorption, molecular sieve 1 desorption When the adsorption circulating fan YP001 starts (AO output), it is responsible for the air entering the molecular sieve 2 for CO2 adsorption. The desorption circulating fan YP002 is started (AO output) and used in conjunction with the PTC heater to desorb molecular sieve 1; Adsorption / desorption channel valves YY001, YY004, YY005, and YY008 are closed; Adsorption / desorption channel valves YY002, YY003, YY006, and YY007 are open; The PTC heating element remains operational.

[0048] During the aforementioned alternating control process, the operating power of the adsorption fan YP002 exhibits a non-linear relationship with the indoor CO2 concentration. The controller automatically adjusts the fan frequency output based on concentration changes, achieving on-demand gas supply and energy-saving operation. The start-stop conditions of the PTC heater are linked to the desorption fan, activating the heating function only when the desorption fan is on, thus avoiding ineffective energy consumption.

[0049] By periodically alternating adsorption and desorption of molecular sieve 1 and molecular sieve 2, this invention can significantly reduce energy consumption while maintaining stable CO2 concentration and extend the working life of molecular sieves, enabling long-term operation of the sealed chamber in a single operation, and achieving efficient, reliable and energy-saving operation of the system.

[0050] 7. Shutdown Procedure (Orderly Exit) After the user triggers the shutdown, the system sequentially shuts down the PTC heater, oxygen generator, and fan, and finally closes the valve, entering a low-power state.

[0051] 8. Anomaly detection, alarms, and fault statistics Periodic self-tests and event-triggered detections are performed in parallel, with categorized alarms (prompts or shutdowns) and log entries (timestamps, fault types, and status parameters).

[0052] 9. Human-Computer Interaction and Communication (HMI) Displays real-time status, alarm information, and parameter interface. Parameter modifications require secondary confirmation; critical operations are prohibited during fault conditions.

[0053] 10. Log and Parameter Management Saves logs for power on / off, de-adhesion, faults, parameter modifications, etc., and supports saving logs after power failure and subsequent maintenance analysis.

[0054] The technical solution in this embodiment enables multi-module coordinated operation, possesses a comprehensive self-checking and protection mechanism, and supports long-term continuous and safe operation through low-power control technology. It achieves high-precision and robust collaborative control of multiple parameters in a confined environment. By incorporating interrelated environmental variables such as air pressure, oxygen, and carbon dioxide into unified control, it avoids coupling conflicts and response lags that may arise from discrete control. It is suitable for applications with high requirements for environmental stability and safety, such as therapeutic regulation of air pressure and oxygen concentration in medical hyperbaric oxygen chambers, simulation experimental chambers for ground-based environmental control and life support systems in manned spacecraft or submersibles, and negative pressure and gas composition assurance in advanced biosafety laboratories.

[0055] Preferred, such as Figure 2 As shown, in S3, a PI feedback operation is performed based on the calculated pressure deviation value to generate a fan frequency command, including S31-S33: S31, acquire the external atmospheric pressure value, calculate the real-time pressure difference between the current absolute pressure inside the cabin and the external atmospheric pressure value, and automatically correct the target pressure value in combination with the current altitude information to obtain the corrected target pressure value. S32, based on the corrected target pressure setpoint and the current absolute pressure inside the cabin, calculate the pressure deviation e(k) for the current cycle, and combine it with the pressure deviation e(k) for the previous cycle. 1) and the control output u(k) of the previous cycle 1) Substitute into the preset incremental PI control formula: u(k) = u(k) 1) + P × [e(k) e(k 1)] + I × e(k), calculate the current control quantity u(k); S33, the current control quantity u(k) is subjected to amplitude limiting processing, and the limited value is mapped to the drive frequency signal of the frequency converter, which is output to the pressurizing fan as the fan frequency command until the real-time differential pressure stabilizes within the preset range.

[0056] Step S3 can perform PI feedback calculation based on the pressure deviation value to generate the fan frequency command, introduce environmental reference quantities to dynamically correct the control target, and use digital incremental PI algorithm to achieve smooth control.

[0057] The pressure closed-loop control process begins with the adaptive correction of the controllable target in step S31. The main controller acquires the external atmospheric pressure value P in real time through an integrated pressure sensor or an external meteorological interface. atm Simultaneously, the system obtains the current altitude information based on the GNSS module or a preset data table, which can be used to compensate for sensor errors or baseline changes at extreme altitudes. The main controller calculates the current absolute pressure P measured by the cabin pressure sensor.abs Compared with the current altitude information P atm Real-time pressure difference ΔP abs = P abs - P atm Combined with altitude, the user-preset target pressure difference ΔP target Compensation and correction are performed to obtain the corrected target pressure value P. target_corrected = P atm + f(H)·ΔP target Where f(H) is the altitude compensation coefficient based on altitude. This ensures that the physical pressure difference maintained by the system inside and outside the cabin always meets physiological or technological requirements under different geographical locations and weather conditions.

[0058] In step S32, the system performs incremental digital PI control calculations. This is based on the corrected target pressure value P. target_corrected Compared with the current measured value P abs Calculate the pressure deviation e(k) = P for the current control cycle. target_corrected -P abs The controller invokes the incremental PI control algorithm pre-stored in the memory unit, whose discretization formula is: u(k) = u(k) 1)+ P × [e(k) e(k 1)] + I × e(k). Among them, u(k) and u(k 1) These are the control outputs for the current cycle and the previous cycle, respectively, with a proportional gain P = 0.01 and an integral gain I = 0.001. Incremental adjustments are made based on the control output from the previous time step, offering advantages such as resistance to integral saturation and smooth output.

[0059] In step S33, the safety limit of the control quantity and the instruction mapping are completed. To prevent arithmetic overflow or issuing instructions to the actuator beyond its capability, the calculated u(k) needs to be subject to upper and lower limits, i.e., if u(k) > u max Then let u(k) = u max If u(k) min Then let u(k) = u min The standardized control quantity, after being limited, is converted into a drive frequency command for the frequency converter (e.g., a 4-20mA analog signal or Modbus communication command) through a linear or piecewise linear mapping relationship, and then output to the pressurized variable frequency fan. The fan adjusts its speed according to this frequency command, thereby changing the gas flow rate delivered into the chamber. This adjustment process continues until the system detects that the real-time differential pressure has stabilized within the preset tolerance range, forming a dynamically stable pressure closed-loop control.

[0060] Preferred, such as Figure 3 ​As shown, in S3, PWM modulation calculation is performed based on the oxygen concentration deviation value to generate an oxygen production power command, including S34-S36: S34, if the real-time oxygen concentration collected is lower than the target oxygen concentration, then increase the preset step size based on the current PWM duty cycle and generate a high-power oxygen production command to improve the oxygen production rate. S35, if the real-time oxygen concentration has reached or slightly exceeded the target oxygen concentration, reduce the current PWM duty cycle and generate a low-power maintenance command to put the oxygen generator into a low-power operation state. S36, if the real-time oxygen concentration is detected to continuously exceed the preset safety limit, the PWM duty cycle is forcibly adjusted to the minimum safety value or zero value, a shutdown protection command is generated, and an alarm signal is triggered to prevent the oxygen partial pressure in the cabin from being too high.

[0061] Step S3 is the specific implementation process of performing PWM modulation calculations to generate an oxygen production power command based on the oxygen concentration deviation value. In each control cycle, the main controller receives real-time measurements from a high-precision oxygen concentration sensor (usually based on electrochemical or optical principles) and compares them with the target oxygen concentration read from memory to calculate the oxygen concentration deviation value. Based on the magnitude and direction of this deviation value, the controller executes the following multi-mode PWM control strategy (corresponding to steps S34 to S36). When the oxygen concentration deviation value is less than zero, i.e., the real-time concentration is lower than the target value, the controller determines that oxygen needs to be replenished. At this time, it adds a preset upward adjustment step size to the current pulse width modulation output duty cycle, i.e., the duty cycle of the previous control cycle, thereby generating a new, higher pulse width modulation duty cycle, i.e., the duty cycle of the current control cycle. This oxygen production power command is sent as a high-power oxygen production command to the oxygen generator's power drive module, prompting the oxygen generator to increase its operating frequency or air intake, accelerating oxygen production, and causing the cabin oxygen concentration to quickly rise back to the target value.

[0062] Conversely, when the oxygen concentration deviation is greater than or equal to zero and falls within a small positive tolerance band, it indicates that the concentration has reached or slightly exceeded the target. To save energy and prevent over-adjustment, the controller will execute a low-power maintenance strategy (i.e., 35), which involves reducing the current pulse width modulation duty cycle in small downward steps, causing the oxygen generator to enter a low-power maintenance operation state, outputting only the basic amount of oxygen needed to compensate for environmental leakage and personnel consumption. Step S36 involves monitoring the current measured oxygen concentration and comparing it with a preset safe concentration upper limit. Once the measured oxygen concentration is detected to have reached or exceeded the safe concentration upper limit, it indicates a possible oxygen generation control failure or other malfunction leading to an uncontrolled increase in oxygen concentration, posing a safety risk. At this time, the controller will exceed the normal adjustment logic, forcibly adjusting the pulse width modulation duty cycle to the preset minimum safe value or zero, generating a shutdown protection command, and immediately cutting off or significantly reducing the power input of the oxygen generator. Simultaneously, the controller will trigger an audible and visual alarm signal through the hardware port to notify maintenance personnel to intervene. This embodiment achieves a smooth and safe transition of oxygen production power from rapid increase and stable maintenance to emergency shutdown through deviation-driven dynamic pulse width modulation.

[0063] Preferred, such as Figure 4 As shown, in S3, the process of generating valve group switching commands and heating commands based on the preset adsorption-desorption logic matching the carbon dioxide concentration state value includes S37-S39: S37, when the carbon dioxide concentration in the cabin is detected to be higher than the preset comfort value, the adsorption circulation fan is started, and the speed of the adsorption circulation fan is dynamically adjusted according to the preset control curve based on the rate of increase of carbon dioxide concentration. S38, when the carbon dioxide concentration in the molecular sieve component under adsorption is detected to reach the desorption threshold, the desorption logic is triggered, a start signal is sent to the desorption circulation fan, and after confirming that the desorption circulation fan is in operation, a heating enable signal is sent to the PTC heater. S39, monitor the heating temperature during the desorption process in real time, and after maintaining the preset desorption time, cut off the heating enable signal of the PTC heater, and after the preset heat dissipation delay, cut off the start signal of the desorption circulation fan.

[0064] In step S37, the dynamic execution of the carbon dioxide adsorption logic constitutes the first stage of control. The main controller continuously compares the real-time concentration value from the infrared carbon dioxide sensor with a preset comfort concentration threshold. Once the real-time concentration value exceeds the preset comfort concentration threshold, the controller immediately generates a command to switch the gas path solenoid valve group, allowing the air inside the chamber to flow through the adsorption tank filled with adsorbent (such as lithium molecular sieve), while simultaneously sending a start signal to the adsorption circulation fan. To optimize removal efficiency and reduce energy consumption, the controller not only relies on the absolute value of the concentration but also calculates the rate of increase of the concentration in real time. Based on this rate, it queries a preset concentration-fan speed control curve and dynamically adjusts the speed of the adsorption fan. When the rate is high, the speed is increased to enhance airflow circulation and accelerate adsorption; when the rate is low, the speed is reduced to a maintenance level.

[0065] The controller indirectly determines whether the adsorbent is nearing saturation by monitoring the pressure or temperature inside the adsorption tank, or directly based on the cumulative adsorption time and airflow model. When the preset desorption trigger threshold is reached, the system automatically enters the desorption regeneration cycle. At this time, the controller first switches the valve group to isolate the air path in the chamber and connect the desorption circuit, and then sends a start signal to the desorption circulation fan to drive air to start flowing in the closed desorption circuit. After confirming that the desorption fan is running normally (through current or speed feedback), the controller sends a heating enable signal to the PTC heater. The order of ventilation before heating can effectively prevent local overheating of the adsorbent. During the desorption process, the controller monitors the heating temperature in real time through a temperature sensor and implements PID regulation to stabilize it within the optimal desorption temperature range (e.g., 150-200℃). After the preset desorption time is reached, the controller first cuts off the heating signal of the PTC heater, but the desorption fan continues to run, entering the preset heat dissipation delay stage to forcibly cool the adsorption tank. Once the tank temperature drops to a safe level, the controller cuts off the start signal of the desorption fan, completing a full regeneration cycle and restoring the adsorption components to a highly efficient adsorption state. The system then automatically switches back to standby or adsorption mode.

[0066] Preferred, such as Figure 5 As shown, the valve group switching commands in S3 include S310-S312: S310, in the first working stage, sends a command to open the first set of solenoid valves and close the second set of solenoid valves, connecting the first molecular sieve assembly with the adsorption gas path, and simultaneously connecting the second molecular sieve assembly with the desorption gas path. The adsorption circulation fan sends the air in the chamber into the first molecular sieve assembly for adsorption, and the desorption circulation fan, in conjunction with the PTC heater, regenerates the second molecular sieve assembly. S311, in the second working stage, a command is sent to close the first group of solenoid valves and open the second group of solenoid valves, switch the gas flow direction, connect the second molecular sieve component with the adsorption gas path, and connect the first molecular sieve component with the desorption gas path. The air in the chamber is sent into the second molecular sieve component for adsorption by the adsorption circulation fan, and the first molecular sieve component is regenerated by the desorption circulation fan in conjunction with the PTC heater. S312, during the interval between the switching between the first working stage and the second working stage, the main controller records the current adsorption and desorption status and the position of each valve into a non-volatile memory to ensure that the system can continue the operating logic of the previous moment after a power failure and restart.

[0067] The system is pre-programmed with a first and a second operating phase. In step S310, during the first operating phase, the main controller sends a specific set of switching commands to the gas path solenoid valve group. Opening the first set of solenoid valves while simultaneously closing the second set changes the gas path connection as follows: the first molecular sieve component is connected to the adsorption gas path, in series with the cabin air circulation system (driven by the adsorption circulation fan), and begins to undertake the main task of adsorbing carbon dioxide in the cabin; at the same time, the second molecular sieve component is switched to the desorption gas path, connected to the closed regeneration loop composed of the desorption circulation fan and the PTC heater. During this phase, the second component dissipates heat using the heat stored in the previous phase, or starts heating for regeneration when conditions are met, preparing for the subsequent role switch. When the first molecular sieve component approaches adsorption saturation, or reaches the preset timed switching point, the system enters step S311, which is the second operating phase. At this time, the main controller sends the opposite valve group commands, closing the first set of solenoid valves and opening the second set of solenoid valves. The gas path connections of the two components were swapped, and the second molecular sieve component switched into the adsorption gas path to take over the adsorption work; while the first molecular sieve component switched into the desorption gas path to begin its regeneration process.

[0068] In step S312, a system state persistence and fault recovery mechanism is implemented. Since the system may be interrupted due to unexpected power outages or maintenance, the main controller immediately writes the current operating status metadata to a non-volatile memory (such as EEPROM or FRAM) after each work phase switch. The operating status metadata includes at least: the current activity phase identifier (first or second phase), the real-time target position of each solenoid valve, and the cumulative running time of each molecular sieve component. When the system is powered on again for initialization, the main controller, after self-testing, will prioritize reading the status information in this memory area and directly restore the solenoid valve group to its configuration before the power outage, thus continuing the predetermined adsorption-desorption alternation logic. This avoids potential logical confusion after a power outage restart (such as both tanks being in adsorption or desorption states simultaneously), ensuring the continuity and consistency of system operation and reducing the risk of control failure due to unexpected interruptions.

[0069] Preferred, such as Figure 6 As shown, S5, system shutdown and fault protection, is included after S4. S5 includes the following steps S51-S53: S51, after receiving the shutdown command, the main controller does not immediately cut off the main power supply. Instead, it first sends a command to stop the operation of the oxygen generator and the carbon dioxide adsorption module, and then controls the PTC heater to stop heating and keeps the fan running for a set delay time to dissipate residual heat. S52, after the delay time ends, shut down the pressurized variable frequency fan and the air pressure control valve, save the current operation log and status parameters, and finally control the system to enter the low power standby mode. S53, during the entire operation of the system, if the temperature sensor detects that the temperature of the fan or heater exceeds the physical safety threshold, it triggers a hardware-level interrupt signal, cuts off the drive power of the corresponding actuator and locks the system state until a manual reset signal is received.

[0070] Step S5 establishes command issuance and system closed-loop control. The controller synchronously sends the commands generated in step S3 to each actuator via the drive circuit. It sends the fan frequency command to the pressurized variable frequency fan, adjusting its speed to change the intake air volume and thus correct the chamber pressure; it sends the oxygen production power command to the oxygen generator power module to adjust the oxygen production intensity; and it applies valve group switching and heating commands to the gas path solenoid valve group and PTC heater to perform carbon dioxide adsorption or adsorbent desorption and regeneration. At the end of a control cycle, the environment has changed due to these operations. In the next control cycle T+1, the sensors will again collect new current physical parameters and input them as feedback data to the main controller, starting a new cycle. This constitutes a real-time, adaptive closed-loop negative feedback control system that continuously combats environmental disturbances and maintains parameter stability.

[0071] When the main controller receives a valid shutdown command from the human-machine interface or remote monitoring system, it does not immediately disconnect the main power supply. Instead, it initiates a preset, step-by-step, orderly shutdown sequence. In step S51, the main controller sends stop commands to each core functional module in sequence, first stopping the power drive of the oxygen generator to cut off the oxygen supply; then stopping the operation of the circulating fan and valve group of the carbon dioxide adsorption module, pausing the adsorption regeneration cycle. For the PTC heater, after sending the stop heating command, the controller continues to keep the desorption circulating fan running for a preset heat dissipation delay time, using forced convection to fully dissipate the residual heat in the heater and adsorption tank, avoiding high temperature accumulation. In step S52, after the heat dissipation delay ends, the controller then shuts down the pressurizing variable frequency fan and related air circuit valve group to maintain the chamber pressure, allowing the system air pressure to transition smoothly. The main controller saves the current complete operating log, key status parameters, and settings to non-volatile memory before switching the main control part of the system to low-power standby mode, completing a safe soft shutdown process. This minimizes the risk of thermal stress damage, data loss, or status confusion that could result from a sudden power outage.

[0072] In step S53, the hardware-level overheat protection and safety interruption mechanism serves as a low-level safety guarantee independent of the aforementioned software logic. At any stage of system operation, temperature sensors deployed on critical heat-generating components (such as fan motors and PTC heaters) continuously monitor their surface temperature. Once the temperature reading at any point exceeds a preset physical safety threshold based on the material's heat resistance level, a high-priority hardware interrupt will be immediately triggered. This high-priority hardware interruption forces the controller to skip all current software tasks and directly drive the safety relay or semiconductor switch, physically cutting off the power supply to the corresponding overheating actuator, achieving a millisecond-level response. Simultaneously, the controller locks the overall system state in fault protection mode and illuminates a prominent fault indicator light, which can only be released by maintenance personnel after on-site troubleshooting via a dedicated physical reset button.

[0073] In one embodiment, Figure 7 This is a block diagram of a control device for a closed-cell environment conditioning system, according to an exemplary embodiment. Figure 7 The control device of the sealed cabin environment regulation equipment includes a wake-up module 71, a calculation module 72, a generation module 73, and a feedback module 74.

[0074] The wake-up module 71 is used to wake up the main controller and execute a self-test program in response to the system power-on signal. After confirming that the status of each sensor and communication module is normal, it reads the target environmental parameters, which include the target pressure value, the target oxygen concentration and the target carbon dioxide threshold. The calculation module 72 is used to collect the current physical parameters in the cabin in parallel through a pressure sensor, an oxygen concentration sensor, and a carbon dioxide sensor at a preset control cycle. The current physical parameters include the current air pressure value, the current oxygen concentration, and the current carbon dioxide concentration. The current physical parameters are compared with the read target environmental parameters to calculate the pressure deviation value, the oxygen concentration deviation value, and the carbon dioxide concentration status value, respectively. The generation module 73 is used to generate a fan frequency command by performing PI feedback calculation based on the calculated pressure deviation value, generate an oxygen production power command by performing PWM modulation calculation based on the oxygen concentration deviation value, and generate a valve group switching command and a heating command by matching the preset adsorption and desorption logic based on the carbon dioxide concentration state value. The feedback module 74 is used to send the generated fan frequency command to the pressurized variable frequency fan to adjust the air pressure in the chamber, send the oxygen production power command to the oxygen generator power module to adjust the oxygen supply intensity, send the valve group switching command and heating command to the gas path solenoid valve and PTC heater to perform carbon dioxide treatment, and use the sensor feedback signal after execution as the input data for the next control cycle.

[0075] The control device block diagram of the closed chamber environment conditioning device includes a wake-up module 71, a calculation module 72, a generation module 73, and a feedback module 74, which are controlled to execute the control method of the closed chamber environment conditioning device described in any of the above embodiments.

[0076] This embodiment also provides a control method system for a closed-cell environment conditioning device, including a processor and a computer-readable storage medium connected to each other. The computer-readable storage medium stores a computer program, which is executed by the processor to implement the steps of the control method for the closed-cell environment conditioning device described above.

[0077] This embodiment also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the control method for the closed-cell environment conditioning device described above.

[0078] This embodiment also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the control method for the closed chamber environment conditioning device described above.

[0079] Compared with the prior art, the advantages of this embodiment are as follows: the main controller realizes multi-dimensional parallel monitoring and closed-loop control of cabin air pressure, oxygen and carbon dioxide concentration, and generates precise instructions for different parameter characteristics through PI feedback, PWM modulation and logic matching algorithms, and dynamically corrects deviations in real time, thereby improving the system's response speed and adjustment accuracy, and also enhancing the stability and safety of cabin environment operation.

[0080] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0081] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A control method for a closed-cell environment conditioning device, characterized in that, Applied to the main controller, which connects to the pressure control module, oxygen module, and carbon dioxide module, the main controller includes: S1, in response to the system power-on signal, wake up the main controller and execute the self-test program. After confirming that the status of each sensor and communication module is normal, read the target environmental parameters, including the target pressure value, the target oxygen concentration and the target carbon dioxide threshold. S2, with a preset control cycle, the current physical parameters inside the cabin are collected in parallel by pressure sensor, oxygen concentration sensor and carbon dioxide sensor. The current physical parameters include current air pressure value, current oxygen concentration and current carbon dioxide concentration. The current physical parameters are compared with the target environmental parameters read, and the pressure deviation value, oxygen concentration deviation value and carbon dioxide concentration status value are calculated respectively. S3, PI feedback operation is performed according to the calculated pressure deviation value to generate a fan frequency command, PWM modulation operation is performed according to the oxygen concentration deviation value to generate an oxygen production power command, and valve group switching command and heating command are generated according to the carbon dioxide concentration state value by matching the preset adsorption and desorption logic. S4, the generated fan frequency command is sent to the pressurized variable frequency fan to adjust the air pressure in the chamber, the oxygen production power command is sent to the oxygen generator power module to adjust the oxygen supply intensity, the valve group switching command and heating command are sent to the gas path solenoid valve and PTC heater to perform carbon dioxide treatment, and the sensor feedback signal after execution is used as the input data for the next control cycle.

2. The control method for the closed-cell environment conditioning equipment as described in claim 1, characterized in that, In S3, a PI feedback calculation is performed based on the calculated pressure deviation value to generate a fan frequency command, including: S31, acquire the external atmospheric pressure value, calculate the real-time pressure difference between the current absolute pressure inside the cabin and the external atmospheric pressure value, and automatically correct the target pressure value in combination with the current altitude information to obtain the corrected target pressure value. S32, based on the corrected target pressure setpoint and the current absolute pressure inside the cabin, calculate the pressure deviation e(k) for the current cycle, and combine it with the pressure deviation e(k) for the previous cycle. 1) and the control output u(k) of the previous cycle 1) Substitute into the preset incremental PI control formula: u(k) = u(k) 1) + P × [e(k) e(k 1)] + I × e(k), calculate the current control quantity u(k); S33, the current control quantity u(k) is subjected to amplitude limiting processing, and the limited value is mapped to the drive frequency signal of the frequency converter, which is output to the pressurizing fan as the fan frequency command until the real-time differential pressure stabilizes within the preset range.

3. The control method for the closed-cell environment conditioning equipment as described in claim 1, characterized in that, In S3, PWM modulation calculation is performed based on the oxygen concentration deviation value to generate an oxygen production power command, including: S34, if the real-time oxygen concentration collected is lower than the target oxygen concentration, then increase the preset step size based on the current PWM duty cycle and generate a high-power oxygen production command to improve the oxygen production rate. S35, if the real-time oxygen concentration has reached or slightly exceeded the target oxygen concentration, reduce the current PWM duty cycle and generate a low-power maintenance command to put the oxygen generator into a low-power operation state. S36, if the real-time oxygen concentration is detected to continuously exceed the preset safety limit, the PWM duty cycle is forcibly adjusted to the minimum safety value or zero value, a shutdown protection command is generated, and an alarm signal is triggered to prevent the oxygen partial pressure in the cabin from being too high.

4. The control method for the closed-cell environment conditioning equipment as described in claim 1, characterized in that, The step in S3, which generates valve group switching commands and heating commands based on the preset adsorption-desorption logic matched to the carbon dioxide concentration state value, includes: S37, when the carbon dioxide concentration in the cabin is detected to be higher than the preset comfort value, the adsorption circulation fan is started, and the speed of the adsorption circulation fan is dynamically adjusted according to the preset control curve based on the rate of increase of carbon dioxide concentration. S38, when the carbon dioxide concentration in the molecular sieve component under adsorption is detected to reach the desorption threshold, the desorption logic is triggered, a start signal is sent to the desorption circulation fan, and after confirming that the desorption circulation fan is in operation, a heating enable signal is sent to the PTC heater. S39, monitor the heating temperature during the desorption process in real time, and after maintaining the preset desorption time, cut off the heating enable signal of the PTC heater, and after the preset heat dissipation delay, cut off the start signal of the desorption circulation fan.

5. The control method for the closed-cell environment conditioning equipment as described in claim 4, characterized in that, Valve group switching commands in S3 include: S310, in the first working stage, sends a command to open the first set of solenoid valves and close the second set of solenoid valves, connecting the first molecular sieve assembly with the adsorption gas path, and simultaneously connecting the second molecular sieve assembly with the desorption gas path. The adsorption circulation fan sends the air in the chamber into the first molecular sieve assembly for adsorption, and the desorption circulation fan, in conjunction with the PTC heater, regenerates the second molecular sieve assembly. S311, in the second working stage, a command is sent to close the first group of solenoid valves and open the second group of solenoid valves, switch the gas flow direction, connect the second molecular sieve component with the adsorption gas path, and connect the first molecular sieve component with the desorption gas path. The air in the chamber is sent into the second molecular sieve component for adsorption by the adsorption circulation fan, and the first molecular sieve component is regenerated by the desorption circulation fan in conjunction with the PTC heater. S312, during the interval between the switching between the first working stage and the second working stage, the main controller records the current adsorption and desorption status and the position of each valve into a non-volatile memory to ensure that the system can continue the operating logic of the previous moment after a power failure and restart.

6. The control method for the closed-cell environment conditioning equipment as described in claim 1, characterized in that, Also includes: S5, system shutdown and fault protection, specifically includes: S51, after receiving the shutdown command, the main controller does not immediately cut off the main power supply. Instead, it first sends a command to stop the operation of the oxygen generator and the carbon dioxide adsorption module, and then controls the PTC heater to stop heating and keeps the fan running for a set delay time to dissipate residual heat. S52, after the delay time ends, shut down the pressurized variable frequency fan and the air pressure control valve, save the current operation log and status parameters, and finally control the system to enter the low power standby mode. S53, during the entire operation of the system, if the temperature sensor detects that the temperature of the fan or heater exceeds the physical safety threshold, it triggers a hardware-level interrupt signal, cuts off the drive power of the corresponding actuator and locks the system state until a manual reset signal is received.

7. A control device for a closed-cell environment conditioning system, characterized in that, Applied to the main controller, which connects to the pressure control module, oxygen module, and carbon dioxide module, the main controller includes: The wake-up module is used to wake up the main controller and execute a self-test program in response to the system power-on signal. After confirming that the status of each sensor and communication module is normal, it reads the target environmental parameters, including the target pressure value, the target oxygen concentration and the target carbon dioxide threshold. The calculation module is used to collect the current physical parameters inside the cabin in parallel through pressure sensors, oxygen concentration sensors and carbon dioxide sensors at a preset control cycle. The current physical parameters include the current air pressure value, current oxygen concentration and current carbon dioxide concentration. The current physical parameters are compared with the target environmental parameters read, and the pressure deviation value, oxygen concentration deviation value and carbon dioxide concentration status value are calculated respectively. The generation module is used to generate a fan frequency command by performing PI feedback calculation based on the calculated pressure deviation value, generate an oxygen production power command by performing PWM modulation calculation based on the oxygen concentration deviation value, and generate a valve group switching command and a heating command by matching the preset adsorption-desorption logic based on the carbon dioxide concentration state value. The feedback module is used to send the generated fan frequency command to the pressurized variable frequency fan to adjust the air pressure in the chamber, send the oxygen production power command to the oxygen generator power module to adjust the oxygen supply intensity, send the valve group switching command and heating command to the gas path solenoid valve and PTC heater to perform carbon dioxide treatment, and use the sensor feedback signal after execution as the input data for the next control cycle.

8. The control device for the closed-cell environment conditioning equipment as described in claim 7, characterized in that: The wake-up module, the calculation module, the generation module, and the feedback module are controlled to execute the control method of the closed cabin environment conditioning device according to any one of claims 2 to 6.

9. An electronic device, characterized in that, include: Communication interface, processor, memory; The memory is used to store program instructions, which, when executed by the processor that is communicatively connected to the memory via the communication interface, enable the electronic device to implement the control method of the closed cabin environment conditioning device according to any one of claims 1 to 6.

10. A computer-readable storage medium having program instructions stored thereon, characterized in that, When the program instructions are executed by a computer, the computer causes the computer to implement the control method of the closed cabin environment conditioning device according to any one of claims 1 to 6.

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