Auxiliary pressure relief control system and method for micro hyperbaric oxygen chamber

Abstract

An auxiliary pressure relief control system for a micro hyperbaric oxygen chamber comprises a plurality of distributed high-precision pressure sensors which are installed at the top, the middle and the bottom of the oxygen chamber respectively and used for monitoring spatial distribution of pressure in the oxygen chamber in real time and generating a comprehensive pressure value through a data fusion algorithm, the measurement precision of a pressure sensor module reaches + / -0.1 kPa, and the sampling frequency is 100 Hz; the main pressure release valve adopts a proportional control electromagnetic valve and is used for conventional pressure regulation, the auxiliary pressure release valve adopts a quick response electromagnetic valve and is used for providing quick pressure release support when the pressure is suddenly changed, and the main pressure release valve and the auxiliary pressure release valve are connected in parallel and are independently controlled by the control unit; the response time of the pressure release valve module is less than 50 ms. Through the arrangement and real-time monitoring function of the distributed high-precision pressure sensor, pressure distribution details in the oxygen cabin can be captured at a millisecond-level sampling frequency, and high-resolution pressure data provide an accurate basis for subsequent intelligent regulation and control.

Description

Technical Field

[0001] The present invention belongs to the technical field of hyperbaric oxygen chamber control, and in particular to an auxiliary pressure relief control system and method for a micro-hyperbaric oxygen chamber. Background Art

[0002] The micro-hyperbaric oxygen chamber has a closed cabin space and is equipped with a pure oxygen delivery system and a micro-positive pressure control system. By inputting pure oxygen and purified compressed air into the closed cabin space, it provides patients with a high-pressure oxygen concentration environment, effectively increasing the oxygen partial pressure in the alveoli, increasing the body's oxygen intake, and promoting oxygen absorption and utilization. It is widely used in medical treatment, convalescence and rehabilitation, and the beauty industry.

[0003] In existing related technologies, traditional pressure monitoring methods usually rely on a single sensor for pressure measurement, which makes it difficult to fully reflect the pressure distribution inside the oxygen chamber and easily causes safety hazards due to local pressure anomalies. In addition, the measurement error of a single sensor may lead to uncertainty in the overall data, affecting the accuracy and stability of the system. On the other hand, existing pressure relief control methods often have problems such as slow response and insufficient control accuracy. They are unable to respond to rapid changes in pressure in a timely manner, especially in the case of sudden pressure increases or large fluctuations, which may cause the system to be unable to quickly return to normal operation. Summary of the Invention

[0004] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides an auxiliary pressure relief control system and method for a micro-hyperbaric oxygen chamber, which at least partially solves the above technical problems.

[0005] The technical solution adopted by the present invention is as follows: The present invention proposes an auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber, comprising the following components: Pressure sensor module: This module includes multiple distributed high-precision pressure sensors installed at the top, middle, and bottom of the oxygen chamber. These sensors monitor the spatial distribution of pressure inside the chamber in real time and generate a comprehensive pressure value using a data fusion algorithm. The pressure sensor module has a measurement accuracy of ±0.1 kPa and a sampling frequency of 100 Hz. Pressure relief valve module: includes a main pressure relief valve and an auxiliary pressure relief valve. The main pressure relief valve uses a proportional control solenoid valve for conventional pressure regulation, and the auxiliary pressure relief valve uses a fast-response solenoid valve to provide rapid pressure relief support when the pressure changes sharply. The main pressure relief valve and the auxiliary pressure relief valve are connected in parallel and independently controlled by the control unit. The response time of the pressure relief valve module is less than 50ms; Control unit: uses a high-performance embedded microprocessor with built-in multi-modal pressure control algorithms, including PID control algorithm, fuzzy control algorithm and adaptive predictive control algorithm. It is used to dynamically adjust the opening and response time of the pressure relief valve module according to the deviation between real-time pressure data and target pressure value. The control unit supports real-time display of pressure curves and playback of historical data; User Interface Module: Includes a 10-inch touch screen display that supports real-time display of pressure curves, target pressure value setting, pressure relief operation record query, and system status alarm functions. The user interface module simplifies the operation process through a graphical interface and supports multi-language switching to improve the user experience; Safety protection module: includes an overvoltage protection circuit and an emergency pressure relief device. The overvoltage protection circuit is used to automatically cut off the power supply when the pressure exceeds the preset threshold. The emergency pressure relief device uses a mechanical rapid pressure relief valve to quickly release pressure mechanically in the event of system failure or pressure exceeding the limit, ensuring the safety of the oxygen chamber. The response time of the safety protection module is less than 100ms. Data storage module: uses high-speed non-volatile memory to support long-term storage of pressure data, pressure relief operation logs and system fault records. The data storage module supports data export and analysis through USB interface or wireless communication, with a storage capacity of 128GB; Communication module: supports both wired and wireless communication. Wired communication uses RS485 or CAN bus protocol, and wireless communication uses Wi-Fi or Bluetooth protocol. It is used to interact with external devices or remote monitoring systems to achieve remote control and monitoring. The data transmission rate of the communication module reaches 10Mbps. Power management module: includes a backup battery and a power switching circuit. The backup battery uses a lithium-ion battery to provide temporary power support when the main power is cut off. The power switching circuit is used to automatically switch between the main power supply and the backup battery to ensure continuous operation of the system. The backup battery has a battery life of more than 8 hours. Environmental monitoring module: includes temperature sensor, humidity sensor and air pressure sensor, which are used to monitor the external environmental parameters of the oxygen chamber and feed the data back to the control unit. The measurement accuracy of the environmental monitoring module is ±0.1℃, ±1%RH and ±0.1kPa respectively; Adaptive algorithm module: Adopts machine learning algorithms, including neural network algorithms and genetic algorithms, to optimize the pressure relief control strategy based on historical pressure data and environmental parameters, thereby improving the system response speed and accuracy. The adaptive algorithm module continuously improves control performance through a combination of offline training and online learning, and supports pressure prediction and fault diagnosis functions.

[0006] In one embodiment of the present invention, the distributed high-precision pressure sensor of the pressure sensor module is manufactured using MEMS technology and has anti-vibration, anti-shock and anti-electromagnetic interference characteristics. The pressure sensor module ensures long-term stability through a self-calibration function.

[0007] In one embodiment of the present invention, the main pressure relief valve and the auxiliary pressure relief valve of the pressure relief valve module are both made of high temperature resistant and corrosion resistant materials, suitable for high pressure oxygen environment, and the pressure relief valve module passes the sealing test to ensure no leakage.

[0008] In one embodiment of the present invention, the multimodal pressure control algorithm of the control unit supports three operating modes: manual mode, automatic mode and intelligent mode. The manual mode allows the user to manually adjust the opening of the pressure relief valve. The automatic mode automatically adjusts the opening of the pressure relief valve according to the preset target pressure value. The intelligent mode dynamically adjusts the control parameters according to the optimization strategy of the adaptive algorithm module.

[0009] In one embodiment of the present invention, the touch screen display of the user interface module supports multi-touch and gesture operations, the user interface module enhances the user experience through voice prompts and visual alarm functions, and supports remote firmware upgrades.

[0010] In one embodiment of the present invention, the overvoltage protection circuit of the safety protection module adopts a dual redundant design to ensure normal operation in the event of a single point failure, and the emergency pressure relief device prevents misoperation through a mechanical locking function.

[0011] In one embodiment of the present invention, the non-volatile memory of the data storage module supports data encryption and access permission control to ensure data security, and the data storage module implements data backup and sharing through cloud storage function.

[0012] In one embodiment of the present invention, the wireless communication function of the communication module supports Mesh network technology to ensure stable communication in complex environments, and the communication module reduces transmission delay through data compression technology.

[0013] In one embodiment of the present invention, the backup battery of the power management module supports a fast charging function, and the charging time is less than 2 hours. The power management module reminds the user to replace the battery through the power monitoring function.

[0014] In one embodiment of the present invention, a method for auxiliary pressure relief control for a micro-hyperbaric oxygen chamber comprises the following steps: Step 1: The internal pressure of the oxygen chamber is monitored in real time through the pressure sensor module. The pressure sensor module includes multiple distributed high-precision pressure sensors installed at the top, middle, and bottom of the oxygen chamber. It is used to obtain the spatial distribution data of the internal pressure of the oxygen chamber and generate a comprehensive pressure value through a data fusion algorithm. The measurement accuracy of the pressure sensor module reaches ±0.1kPa, and the sampling frequency is 100Hz. Step 2: The control unit receives the pressure data, compares it with the target pressure value entered by the user, and generates a control signal. The control unit uses a high-performance embedded microprocessor with a built-in multi-modal pressure control algorithm, including PID control algorithm, fuzzy control algorithm and adaptive predictive control algorithm. It is used to dynamically adjust the opening and response time of the pressure relief valve module according to the deviation between the real-time pressure data and the target pressure value; Step 3: Adjust the opening and response time of the pressure relief valve module according to the control signal. The pressure relief valve module includes a main pressure relief valve and an auxiliary pressure relief valve. The main pressure relief valve uses a proportional control solenoid valve for conventional pressure regulation, and the auxiliary pressure relief valve uses a fast response solenoid valve to provide rapid pressure relief support when the pressure changes sharply. The main pressure relief valve and the auxiliary pressure relief valve are connected in parallel and independently controlled by the control unit. The response time of the pressure relief valve module is less than 50ms. Step 4: The internal pressure status of the oxygen chamber is displayed through the user interface module, and the pressure relief operation log is recorded. The user interface module includes a 10-inch touch screen display that supports real-time display of pressure curves, target pressure value setting, pressure relief operation record query, and system status alarm functions. The user interface module simplifies the operation process through a graphical interface and supports multi-language switching to improve the user experience; Step 5: In the event of a system failure or pressure exceeding the limit, the safety protection module automatically initiates emergency pressure relief to ensure the safety of the oxygen chamber. The safety protection module includes an overpressure protection circuit and an emergency pressure relief device. The overpressure protection circuit is used to automatically cut off the power supply when the pressure exceeds the preset threshold. The emergency pressure relief device uses a mechanical fast pressure relief valve to quickly release pressure mechanically in the event of a system failure or pressure exceeding the limit. The response time of the safety protection module is less than 100ms. Step 6: The oxygen chamber pressure data and pressure relief operation log are recorded through the data storage module, and data export and analysis are supported. The data storage module uses high-speed non-volatile memory to support long-term storage of pressure data, pressure relief operation logs, and system fault records. The data storage module supports data export and analysis through a USB interface or wireless communication, and the storage capacity is 128GB. Step 7: Data is exchanged with external devices or remote monitoring systems through the communication module to achieve remote control and monitoring. The communication module supports both wired and wireless communication. Wired communication uses RS485 or CAN bus protocol, and wireless communication uses Wi-Fi or Bluetooth protocol. The data transmission rate of the communication module reaches 10Mbps. Step 8: The environmental monitoring module monitors the external environmental parameters of the oxygen chamber and feeds the data back to the control unit. The environmental monitoring module includes a temperature sensor, a humidity sensor, and an air pressure sensor for monitoring the external environmental parameters of the oxygen chamber. The measurement accuracy of the environmental monitoring module is ±0.1°C, ±1%RH, and ±0.1kPa respectively. Step 9: Optimize the pressure relief control strategy through the adaptive algorithm module to improve the system response speed and accuracy. The adaptive algorithm module uses machine learning algorithms, including neural network algorithms and genetic algorithms, to optimize the pressure relief control strategy based on historical pressure data and environmental parameters. The adaptive algorithm module continuously improves control performance through a combination of offline training and online learning, and supports pressure prediction and fault diagnosis functions. Step 10: The power management module provides stable power to all components of the system and has a power-off protection function. The power management module includes a backup battery and a power switching circuit. The backup battery uses a lithium-ion battery to provide temporary power support when the main power is cut off. The power switching circuit is used to automatically switch between the main power and the backup battery to ensure system continuity.

[0015] The beneficial effects of the technical solution of the present invention are: Through the arrangement of distributed high-precision pressure sensors and real-time monitoring functions, the present invention can capture the pressure distribution details inside the oxygen chamber at a millisecond sampling frequency. The high-resolution pressure data not only provides an accurate basis for subsequent intelligent regulation, but also helps the system quickly identify problems of uneven pressure distribution, such as pressure peaks or abnormally low values ​​in local areas. Combined with the data fusion algorithm to generate a comprehensive pressure value, it can effectively eliminate the uncertainty caused by single-point sensor errors and ensure the global consistency of pressure monitoring.

[0016] The introduction of multimodal pressure control algorithms (PID, fuzzy control, and adaptive predictive control) gives the system powerful adaptive capabilities. The PID algorithm is suitable for scenarios with relatively gentle pressure changes and can quickly adjust the pressure relief valve opening to maintain stable pressure. The fuzzy control algorithm performs well when pressure fluctuates greatly and can flexibly respond to complex nonlinear changes. The adaptive predictive control algorithm predicts future pressure trends in advance by learning from historical data, allowing preventive measures to be taken before problems occur.

[0017] This invention utilizes a pressure relief valve module. The main pressure relief valve utilizes a proportionally controlled solenoid valve, which gradually releases excess pressure through precise proportional control, avoiding the pressure fluctuations associated with the opening and closing of traditional valves. The auxiliary pressure relief valve, leveraging the fast-response characteristics of the solenoid valve, opens rapidly upon detecting a sudden pressure surge, ensuring that pressure is reduced to a safe level within a very short period of time. These two valves are connected in parallel and coordinated by a high-performance embedded microprocessor, shortening the entire pressure relief process (response time <50ms) while also reducing the risk of system failure due to single-point failures.

[0018] The data storage module utilizes high-speed non-volatile memory with a massive 128GB storage capacity, enabling long-term storage of pressure data, pressure relief operation logs, and system fault records. This design not only meets the data storage needs of daily operations but also provides a rich data resource for subsequent in-depth analysis. Data can be easily exported via USB or wireless communication, allowing users to easily transfer data to a local server or cloud platform for detailed statistical analysis and visualization.

[0019] The multiple protection mechanisms of the safety protection module ensure the safety of the oxygen chamber under various complex working conditions. The overvoltage protection circuit can immediately cut off the power supply when the pressure exceeds the preset threshold to prevent the pressure from further increasing and causing safety accidents. The emergency pressure relief device serves as a mechanical fast pressure relief valve. In extreme cases, it can quickly relieve pressure mechanically to ensure that the internal pressure of the oxygen chamber quickly drops to a safe level.

[0020] The present invention uses an environmental monitoring module, temperature sensors, humidity sensors, and air pressure sensors to monitor the environmental parameters outside the oxygen chamber in real time and feed this data back to the control unit. This comprehensive environmental monitoring capability enables the system to perceive changes in external conditions in real time and adjust its internal operating parameters to adapt to the external environment. For example, in environments with high temperature or humidity, the system can optimize its pressure relief strategy to reduce pressure fluctuations caused by thermal expansion.

[0021] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which: Figure 1 This is a schematic diagram of an auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the auxiliary pressure relief control method for a micro-hyperbaric oxygen chamber proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0024] An auxiliary pressure relief control system and method for a micro-hyperbaric oxygen chamber according to an embodiment of the present invention will be described below with reference to the accompanying drawings.

[0025] like Figures 1 to 2 As shown, an embodiment of the present invention provides an auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber, including the following components: Pressure sensor module: This module includes multiple distributed high-precision pressure sensors installed at the top, middle, and bottom of the oxygen chamber. These sensors monitor the spatial distribution of pressure inside the chamber in real time and generate a comprehensive pressure value using a data fusion algorithm. The pressure sensor module has a measurement accuracy of ±0.1 kPa and a sampling frequency of 100 Hz. Pressure relief valve module: includes a main pressure relief valve and an auxiliary pressure relief valve. The main pressure relief valve uses a proportional control solenoid valve for conventional pressure regulation, and the auxiliary pressure relief valve uses a fast-response solenoid valve to provide rapid pressure relief support when the pressure changes sharply. The main pressure relief valve and the auxiliary pressure relief valve are connected in parallel and independently controlled by the control unit. The response time of the pressure relief valve module is less than 50ms; Control unit: uses a high-performance embedded microprocessor with built-in multi-modal pressure control algorithms, including PID control algorithm, fuzzy control algorithm and adaptive predictive control algorithm. It is used to dynamically adjust the opening and response time of the pressure relief valve module according to the deviation between real-time pressure data and target pressure value. The control unit supports real-time display of pressure curves and playback of historical data; User Interface Module: Includes a 10-inch touch screen display that supports real-time display of pressure curves, target pressure value setting, pressure relief operation record query, and system status alarm functions. The user interface module simplifies the operation process through a graphical interface and supports multi-language switching to improve the user experience; Safety protection module: includes an overvoltage protection circuit and an emergency pressure relief device. The overvoltage protection circuit is used to automatically cut off the power supply when the pressure exceeds the preset threshold. The emergency pressure relief device uses a mechanical rapid pressure relief valve to quickly release pressure mechanically in the event of system failure or pressure exceeding the limit, ensuring the safety of the oxygen chamber. The response time of the safety protection module is less than 100ms. Data storage module: uses high-speed non-volatile memory to support long-term storage of pressure data, pressure relief operation logs and system fault records. The data storage module supports data export and analysis through USB interface or wireless communication, with a storage capacity of 128GB; Communication module: supports both wired and wireless communication. Wired communication uses RS485 or CAN bus protocol, and wireless communication uses Wi-Fi or Bluetooth protocol. It is used to interact with external devices or remote monitoring systems to achieve remote control and monitoring. The data transmission rate of the communication module reaches 10Mbps. Power management module: includes a backup battery and a power switching circuit. The backup battery uses a lithium-ion battery to provide temporary power support when the main power is cut off. The power switching circuit is used to automatically switch between the main power supply and the backup battery to ensure continuous operation of the system. The backup battery has a battery life of more than 8 hours. Environmental monitoring module: includes temperature sensor, humidity sensor and air pressure sensor, which are used to monitor the external environmental parameters of the oxygen chamber and feed the data back to the control unit. The measurement accuracy of the environmental monitoring module is ±0.1℃, ±1%RH and ±0.1kPa respectively; Adaptive algorithm module: Adopts machine learning algorithms, including neural network algorithms and genetic algorithms, to optimize the pressure relief control strategy based on historical pressure data and environmental parameters, thereby improving the system response speed and accuracy. The adaptive algorithm module continuously improves control performance through a combination of offline training and online learning, and supports pressure prediction and fault diagnosis functions.

[0026] In specific applications, the embodiment of the present invention uses a pressure sensor module to monitor the spatial distribution of the internal pressure of the oxygen chamber in real time. The module includes multiple distributed high-precision pressure sensors, which are installed at the top, middle, and bottom of the oxygen chamber, respectively, to obtain the changes in the internal pressure of the oxygen chamber at different locations. The pressure sensor is manufactured using MEMS technology and has anti-vibration, anti-shock, and anti-electromagnetic interference characteristics. Its measurement accuracy reaches ±.1kPa, and the sampling frequency is 100Hz, which can meet the monitoring requirements of high precision and high dynamic range. Through the data fusion algorithm, the system performs weighted averaging and error correction on the measurement values ​​of multiple sensors to generate a comprehensive pressure value, effectively eliminating local abnormal data and ensuring the accuracy, stability, and reliability of pressure monitoring. Based on real-time pressure data, the system dynamically adjusts the internal pressure of the oxygen chamber through the pressure relief valve module. The pressure relief valve module includes a main pressure relief valve and an auxiliary pressure relief valve. The main pressure relief valve adopts a proportional control solenoid valve for conventional pressure regulation, which can accurately adjust the opening according to the control signal to achieve smooth pressure relief; the auxiliary pressure relief valve adopts a fast response solenoid valve to provide rapid pressure relief support when the pressure changes sharply, ensuring that the oxygen chamber can quickly return to the safe pressure range in an emergency. The main pressure relief valve and the auxiliary pressure relief valve are connected in parallel and uniformly controlled by the control unit. The response time of the pressure relief valve module is less than 50ms, which can meet the needs of high dynamic pressure changes.

[0027] The control unit utilizes a high-performance embedded microprocessor with built-in multimodal pressure control algorithms, including PID control, fuzzy control, and adaptive predictive control. The PID control algorithm is used to achieve precise pressure regulation, the fuzzy control algorithm is used to handle nonlinear pressure changes, and the adaptive predictive control algorithm dynamically adjusts control parameters based on historical data and current operating conditions, improving the system's response speed and control accuracy. The control unit also supports real-time display of pressure curves and playback of historical data, making it easier for operators to monitor the system's operating status. Furthermore, the adaptive algorithm module utilizes machine learning algorithms, including neural network algorithms and genetic algorithms, to optimize pressure relief control strategies based on historical pressure data and environmental parameters. Through a combination of offline training and online learning, the system can continuously improve control performance and support pressure prediction and fault diagnosis. The adaptive algorithm module can also dynamically adjust control parameters based on user habits and the operating conditions of the oxygen chamber, further enhancing the system's intelligence.

[0028] The user interface module includes a 10-inch touchscreen display that supports real-time pressure curve display, target pressure setting, pressure relief operation log query, and system status alarms. This graphical interface simplifies the system's operation process and supports multi-language switching, enhancing the user experience. The user interface module also provides operational guidance and fault notifications, reducing operational complexity and maintenance costs. The data storage module utilizes high-speed non-volatile memory for long-term storage of pressure data, pressure relief operation logs, and system fault records. With a storage capacity of 128GB, it meets the data storage needs of long-term operation. The data storage module supports data export and analysis via USB or wireless communication, facilitating data mining and system optimization. The safety protection module includes an overpressure protection circuit and an emergency pressure relief device. The overpressure protection circuit automatically cuts off power when pressure exceeds a preset threshold, preventing further system operation. The emergency pressure relief device uses a mechanical rapid pressure relief valve to quickly relieve pressure in the event of a system failure or pressure overrun, ensuring the safety of the oxygen chamber. With a response time of less than 100ms, the safety protection module can activate quickly in emergencies, maximizing user safety. Furthermore, the power management module includes a backup battery and power switching circuit. The backup battery uses a lithium-ion battery to provide temporary power during a main power outage, ensuring system operation. A power switching circuit automatically switches between the main power source and the backup battery in less than 10ms, ensuring continuous system operation. The backup battery has a battery life of over 8 hours, making it suitable for extended power outages.

[0029] The environmental monitoring module, which includes temperature, humidity, and pressure sensors, monitors the oxygen chamber's external environmental parameters and feeds this data back to the control unit. With measurement accuracies of ±0.1°C, ±1%RH, and ±0.1kPa, respectively, the module provides precise environmental data to the control unit, assisting the system in optimizing its pressure relief control strategy. By combining environmental parameters with pressure data, the system can more accurately predict pressure trends and proactively adjust the pressure relief strategy, further improving control accuracy and responsiveness. The communication module supports both wired and wireless communication. Wired communication utilizes RS485 or CAN bus protocols, while wireless communication utilizes Wi-Fi or Bluetooth protocols for data exchange with external devices or remote monitoring systems. With a data rate of up to 10Mbps, the communication module enables real-time data transmission and remote control, enhancing the system's scalability and flexibility. The remote monitoring function allows users to view the chamber's operating status, pressure curves, and system alarms in real time on an external device, and to perform remote operation and control, further enhancing the system's convenience and practicality.

[0030] In one possible implementation, the pressure sensor module's distributed, high-precision pressure sensors are manufactured using MEMS technology, offering resistance to vibration, shock, and electromagnetic interference. The pressure sensor module also uses a self-calibration feature to ensure long-term stability. The pressure relief valve module's main and auxiliary relief valves are made of high-temperature and corrosion-resistant materials, suitable for high-pressure oxygen environments. The pressure relief valve module undergoes leak-proof testing.

[0031] In specific applications of the embodiments of the present invention, the pressure sensor module uses distributed high-precision pressure sensors, which are installed at the top, middle, and bottom of the oxygen chamber to monitor the spatial distribution of the internal pressure of the oxygen chamber in real time. The pressure sensors are manufactured using MEMS technology and have characteristics such as vibration resistance, shock resistance, and electromagnetic interference resistance, and can operate stably and long-term in a high-pressure oxygen environment. Its measurement accuracy reaches ±0.1kPa, and the sampling frequency is 100Hz, which can meet the monitoring requirements of high precision and high dynamic range. The pressure sensor module uses a self-calibration function to regularly perform zero drift and sensitivity correction on the sensor to ensure long-term stability. The self-calibration function is based on a built-in reference pressure source and temperature compensation algorithm, which can automatically adjust sensor parameters under different environmental conditions, eliminate measurement errors, and improve the reliability of monitoring data.

[0032] The pressure relief valve module includes a main pressure relief valve and an auxiliary pressure relief valve. The main pressure relief valve uses a proportional control solenoid valve for conventional pressure regulation, capable of precisely adjusting its opening according to the control signal to achieve smooth pressure relief. The auxiliary pressure relief valve uses a fast-response solenoid valve to provide rapid pressure relief support in the event of a sudden pressure change, ensuring that the oxygen chamber quickly returns to a safe pressure range in the event of an emergency. Both the main and auxiliary pressure relief valves are manufactured from high-temperature and corrosion-resistant materials, suitable for high-pressure oxygen environments, and capable of long-term stable operation under high humidity and high pressure conditions. The pressure relief valve module's sealing design ensures no leakage. The sealing material is fluororubber or polytetrafluoroethylene (PTFE), which has excellent chemical corrosion resistance and high temperature resistance. The sealing structure uses a double sealing ring design, combined with precision machining technology, to ensure a tight fit between the valve body and valve seat, preventing high-pressure gas leakage and improving the safety and reliability of the system.

[0033] The control unit utilizes a high-performance embedded microprocessor with built-in multi-modal pressure control algorithms, including PID control, fuzzy control, and adaptive predictive control. The PID control algorithm is used to achieve precise pressure regulation, the fuzzy control algorithm is used to handle nonlinear pressure changes, and the adaptive predictive control algorithm dynamically adjusts control parameters based on historical data and current operating conditions, improving the system's response speed and control accuracy. The control unit receives data from the pressure sensor module in real time, calculates the deviation between the current pressure and the target pressure, and dynamically adjusts the opening and response time of the pressure relief valve module to ensure that the pressure inside the oxygen chamber remains within a safe range. In addition, the control unit supports real-time display of pressure curves and playback of historical data, making it easier for operators to monitor the system's operating status.

[0034] The safety protection module includes an overpressure protection circuit and an emergency pressure relief device. The overpressure protection circuit automatically cuts off power when pressure exceeds a preset threshold, preventing further system operation. The emergency pressure relief device uses a mechanical quick-release valve to quickly relieve pressure in the event of a system failure or excessive pressure, ensuring the safety of the oxygen chamber. The safety protection module has a response time of less than 100ms, enabling rapid activation in emergencies to maximize user safety. In addition, the system is equipped with a backup power module using a lithium-ion battery to provide temporary power support in the event of a main power outage, ensuring continued system operation. The backup power module has a battery life of over 8 hours, ensuring long-term power outages. The system uses an environmental monitoring module to monitor the oxygen chamber's external environmental parameters, including temperature, humidity, and air pressure, in real time. The environmental monitoring module has measurement accuracies of ±0.1°C, ±1%RH, and ±0.1kPa, respectively. This provides precise environmental data to the control unit, assisting the system in optimizing its pressure relief control strategy. For example, in high-temperature and high-humidity environments, the system can automatically adjust the opening and response time of the pressure relief valve to prevent pressure fluctuations caused by environmental changes. In addition, the system also supports remote monitoring function, which exchanges data with external devices or remote monitoring systems through communication modules to achieve real-time data transmission and remote control, thereby improving the scalability and flexibility of the system.

[0035] The data storage module utilizes high-speed non-volatile memory to support long-term storage of pressure data, pressure relief operation logs, and system fault records. With a storage capacity of 128GB, it meets the data storage needs of long-term operation. The data storage module supports data export and analysis via USB or wireless communication, facilitating data mining and system optimization. For example, by analyzing historical pressure data, the system can identify patterns in pressure fluctuations, optimize pressure relief control strategies, and improve system control accuracy and response speed. The user interface module includes a 10-inch touchscreen display that supports real-time pressure curve display, target pressure setting, pressure relief operation log query, and system status alarms. The system's graphical interface simplifies operation and supports multi-language switching, enhancing the user experience. The user interface module also provides operational guidance and fault notifications, reducing operational complexity and maintenance costs. For example, when the system detects abnormal pressure, the user interface displays detailed fault information and provides solutions to help operators quickly troubleshoot the problem.

[0036] In one possible embodiment, the multimodal pressure control algorithm of the control unit supports three operating modes: manual mode, automatic mode and intelligent mode. The manual mode allows the user to manually adjust the opening of the pressure relief valve. The automatic mode automatically adjusts the opening of the pressure relief valve according to a preset target pressure value. The intelligent mode dynamically adjusts the control parameters according to the optimization strategy of the adaptive algorithm module. The touch screen display of the user interface module supports multi-touch and gesture operations. The user interface module enhances the user experience through voice prompts and visual alarm functions, and supports remote firmware upgrades.

[0037] In specific applications of this embodiment of the present invention, the control unit utilizes a high-performance embedded microprocessor with a built-in multimodal pressure control algorithm, supporting three operating modes: manual, automatic, and intelligent. Manual mode allows the user to manually adjust the pressure relief valve opening via the touchscreen display, suitable for special operating conditions requiring precise pressure control. Automatic mode automatically adjusts the pressure relief valve opening based on a preset target pressure using a PID control algorithm, ensuring that the internal pressure of the oxygen chamber remains within a safe range. Intelligent mode dynamically adjusts control parameters, including pressure relief valve opening, response time, and pressure trend prediction, based on the optimization strategy of the adaptive algorithm module, further improving the system's control accuracy and response speed. The adaptive algorithm module utilizes machine learning algorithms, including neural network algorithms and genetic algorithms, to continuously optimize the control strategy through a combination of offline training and online learning, supporting pressure prediction and fault diagnosis. The user interface module includes a 10-inch touchscreen display that supports multi-touch and gesture operation. Users can quickly switch interfaces, adjust parameters, and view historical data through gestures such as swiping and pinching. The touchscreen display utilizes a high-resolution IPS screen with wide viewing angles, ensuring clear display in varying lighting conditions. The user interface module enhances the user experience through voice prompts and visual alarms. For example, when the system detects abnormal pressure, the touchscreen displays a red alarm message and plays a voice prompt, reminding the operator to take timely action. Furthermore, the user interface module supports multilingual switching to meet the needs of users in different regions. Built-in operation guides and fault prompts help users quickly master system operation and troubleshoot common problems.

[0038] The system supports remote firmware upgrades, exchanging data with an external server via a communication module to enable online firmware updates and optimizations. This remote firmware upgrade utilizes an encrypted transmission protocol to ensure data security and supports resumable downloads to prevent upgrade failures caused by network interruptions. Remote firmware upgrades allow users to promptly access the latest functional optimizations and security patches, improving system performance and reliability. The system also supports local firmware upgrades, allowing users to import firmware files into the system via a USB port to complete the upgrade. The pressure sensor module utilizes distributed high-precision pressure sensors, located at the top, middle, and bottom of the oxygen chamber, to monitor the spatial distribution of internal chamber pressure in real time. Manufactured using MEMS technology, the pressure sensors are resistant to vibration, shock, and electromagnetic interference, ensuring long-term stable operation in hyperbaric oxygen environments. With a measurement accuracy of ±0.1 kPa and a sampling frequency of 100 Hz, they meet the requirements for high-precision and high-dynamic range monitoring. Based on real-time pressure data, the control unit dynamically adjusts the pressure relief valve opening using a multimodal pressure control algorithm to ensure that the internal chamber pressure remains within a safe range.

[0039] The pressure relief valve module consists of a main and auxiliary pressure relief valves. The main pressure relief valve utilizes a proportional control solenoid valve for conventional pressure regulation, precisely adjusting its opening according to the control signal for smooth pressure relief. The auxiliary pressure relief valve utilizes a fast-response solenoid valve to provide rapid pressure relief support during sudden pressure changes, ensuring the oxygen chamber quickly returns to a safe pressure range in the event of an emergency. Both the main and auxiliary pressure relief valves are constructed from high-temperature and corrosion-resistant materials, suitable for high-pressure oxygen environments and capable of long-term stable operation under high humidity and high pressure conditions. The pressure relief valve module's leak-proof design utilizes a sealing material, fluororubber or polytetrafluoroethylene (PTFE), which offers excellent chemical and high-temperature resistance. The sealing structure utilizes a double-ring design, combined with precision machining, to ensure a tight fit between the valve body and valve seat, preventing high-pressure gas leakage and enhancing system safety and reliability.

[0040] The safety protection module includes an overvoltage protection circuit and an emergency pressure relief device. The overvoltage protection circuit is used to automatically cut off the power supply when the pressure exceeds the preset threshold to prevent the system from further operation; the emergency pressure relief device uses a mechanical quick pressure relief valve to quickly relieve pressure mechanically when the system fails or the pressure exceeds the limit, ensuring the safety of the oxygen chamber. The response time of the safety protection module is less than 100ms, and it can be quickly activated in an emergency to maximize user safety. In addition, the system is also equipped with a backup power supply module, which uses a lithium-ion battery as a backup power supply to provide temporary power support when the main power supply is cut off, ensuring that the system can still operate normally in the event of a power outage. The backup power supply module has a battery life of more than 8 hours and can meet the needs of long-term power outages.

[0041] In one possible implementation, the overvoltage protection circuit of the safety protection module adopts a dual redundant design to ensure that it can still operate normally in the event of a single point failure. The emergency pressure relief device prevents misoperation through a mechanical locking function. The non-volatile memory of the data storage module supports data encryption and access permission control to ensure data security. The data storage module realizes data backup and sharing through cloud storage function.

[0042] In specific applications of the embodiments of the present invention, the safety protection module includes an overvoltage protection circuit and an emergency pressure relief device. The overvoltage protection circuit utilizes a dual-redundancy design, comprising a primary overvoltage protection circuit and a backup overvoltage protection circuit, ensuring continued operation even in the event of a single point of failure. The primary overvoltage protection circuit uses a high-precision voltage comparator to monitor the internal pressure of the oxygen chamber in real time. When the pressure exceeds a preset threshold, it automatically cuts off power, preventing further system operation. The backup overvoltage protection circuit utilizes a mechanical pressure switch as a backup to the primary circuit, ensuring overvoltage protection in the event of a primary circuit failure. The dual-redundancy design has a response time of less than 50ms, enabling rapid activation in emergencies and maximizing user safety. The emergency pressure relief device utilizes a mechanical locking function to prevent accidental operation. This mechanical locking function is implemented through a physical lock, ensuring that only authorized personnel can unlock and operate the emergency pressure relief device, preventing accidental triggering in non-emergency situations. The emergency pressure relief device has a response time of less than 100ms and can mechanically quickly relieve pressure in the event of a system failure or pressure exceedance, ensuring the safety of the oxygen chamber.

[0043] The data storage module uses high-speed non-volatile memory to support the long-term preservation of pressure data, pressure relief operation logs and system fault records. The storage capacity is 128GB, which can meet the data storage needs of long-term operation. The data storage module uses the AES-256 encryption algorithm to encrypt the stored data through the data encryption function to ensure the security of the data during storage and transmission. In addition, the data storage module also supports access permission control, and through the user authentication mechanism, ensures that only authorized personnel can access and operate the stored data. Access permission control includes multi-level permission management, such as administrator permission, operator permission and read-only permission, to meet the needs of different users. The data storage module also supports data integrity verification function, which verifies the stored data through the hash algorithm to ensure that the data has not been tampered with during the storage process.

[0044] The data storage module implements data backup and sharing through cloud storage. Cloud storage utilizes distributed storage technology to back up data to multiple remote servers, ensuring data recovery in the event of a local storage failure. Cloud storage supports real-time data synchronization, ensuring consistency between local and cloud data. Furthermore, cloud storage supports data sharing, allowing users to share data with other users or devices through authorization, facilitating data collaboration and analysis. Cloud storage utilizes SSL / TLS encryption protocols to ensure data security during transmission and supports breakpoint resume to prevent data transmission failures caused by network interruptions. Cloud storage allows users to conveniently access and manage data anytime, anywhere, enhancing the system's convenience and flexibility.

[0045] In one possible implementation, the wireless communication function of the communication module supports Mesh network technology to ensure stable communication in complex environments. The communication module reduces transmission delay through data compression technology. The backup battery of the power management module supports fast charging function with a charging time of less than 2 hours. The power management module reminds users to replace the battery through the power monitoring function.

[0046] In the specific application of the embodiment of the present invention, the communication module adopts wireless communication function and supports Mesh network technology to ensure stable communication in complex environments. Mesh network technology realizes multi-hop communication between devices through multi-node self-organizing networking. Even in an environment with severe signal obstruction or interference, it can still maintain stable data transmission. The wireless communication function of the communication module supports 2.4GHz and 5GHz dual-bands, and can automatically switch frequency bands according to environmental conditions to avoid signal interference. The communication distance between nodes of Mesh network technology can reach 100 meters, and it supports dynamic routing optimization to ensure the real-time and reliability of data transmission. In addition, the communication module also supports data compression technology, which reduces the amount of data transmission through compression algorithms, reduces transmission delays, and improves communication efficiency. The data compression technology adopts the LZ77 algorithm, and the compression rate can reach more than 50%, reducing data transmission time and bandwidth occupancy.

[0047] The power management module includes a main power supply and a backup battery. The backup battery utilizes a lithium-ion battery and supports fast charging, with a charging time of less than two hours, ensuring that the battery's charge is restored quickly. The fast charging function utilizes constant current constant voltage (CCCV) charging technology. The intelligent charging chip monitors the battery voltage and current in real time, optimizing the charging process to avoid overcharging and over-discharging, thereby extending battery life. The power management module uses a power monitoring function to monitor the backup battery's charge status in real time and reminds the user to replace the battery through the user interface module. The power monitoring function utilizes coulomb counter technology with a measurement accuracy of ±1%, accurately displaying the remaining battery charge and estimated usage time. When the battery charge falls below 20%, the system prompts the user to charge or replace the battery promptly via the touchscreen display and voice prompts, ensuring that the system continues to operate normally even in power outages.

[0048] In one possible embodiment, a method for auxiliary pressure relief control for a micro-hyperbaric oxygen chamber includes the following steps: Step 1: The internal pressure of the oxygen chamber is monitored in real time through the pressure sensor module. The pressure sensor module includes multiple distributed high-precision pressure sensors installed at the top, middle, and bottom of the oxygen chamber. It is used to obtain the spatial distribution data of the internal pressure of the oxygen chamber and generate a comprehensive pressure value through a data fusion algorithm. The measurement accuracy of the pressure sensor module reaches ±0.1kPa, and the sampling frequency is 100Hz. Step 2: The control unit receives the pressure data, compares it with the target pressure value entered by the user, and generates a control signal. The control unit uses a high-performance embedded microprocessor with a built-in multi-modal pressure control algorithm, including PID control algorithm, fuzzy control algorithm and adaptive predictive control algorithm. It is used to dynamically adjust the opening and response time of the pressure relief valve module according to the deviation between the real-time pressure data and the target pressure value; Step 3: Adjust the opening and response time of the pressure relief valve module according to the control signal. The pressure relief valve module includes a main pressure relief valve and an auxiliary pressure relief valve. The main pressure relief valve uses a proportional control solenoid valve for conventional pressure regulation, and the auxiliary pressure relief valve uses a fast response solenoid valve to provide rapid pressure relief support when the pressure changes sharply. The main pressure relief valve and the auxiliary pressure relief valve are connected in parallel and independently controlled by the control unit. The response time of the pressure relief valve module is less than 50ms. Step 4: The internal pressure status of the oxygen chamber is displayed through the user interface module, and the pressure relief operation log is recorded. The user interface module includes a 10-inch touch screen display that supports real-time display of pressure curves, target pressure value setting, pressure relief operation record query, and system status alarm functions. The user interface module simplifies the operation process through a graphical interface and supports multi-language switching to improve the user experience; Step 5: In the event of a system failure or pressure exceeding the limit, the safety protection module automatically initiates emergency pressure relief to ensure the safety of the oxygen chamber. The safety protection module includes an overpressure protection circuit and an emergency pressure relief device. The overpressure protection circuit is used to automatically cut off the power supply when the pressure exceeds the preset threshold. The emergency pressure relief device uses a mechanical fast pressure relief valve to quickly release pressure mechanically in the event of a system failure or pressure exceeding the limit. The response time of the safety protection module is less than 100ms. Step 6: The oxygen chamber pressure data and pressure relief operation log are recorded through the data storage module, and data export and analysis are supported. The data storage module uses high-speed non-volatile memory to support long-term storage of pressure data, pressure relief operation logs, and system fault records. The data storage module supports data export and analysis through a USB interface or wireless communication, and the storage capacity is 128GB. Step 7: Data is exchanged with external devices or remote monitoring systems through the communication module to achieve remote control and monitoring. The communication module supports both wired and wireless communication. Wired communication uses RS485 or CAN bus protocol, and wireless communication uses Wi-Fi or Bluetooth protocol. The data transmission rate of the communication module reaches 10Mbps. Step 8: The environmental monitoring module monitors the external environmental parameters of the oxygen chamber and feeds the data back to the control unit. The environmental monitoring module includes a temperature sensor, a humidity sensor, and an air pressure sensor for monitoring the external environmental parameters of the oxygen chamber. The measurement accuracy of the environmental monitoring module is ±0.1°C, ±1%RH, and ±0.1kPa respectively. Step 9: Optimize the pressure relief control strategy through the adaptive algorithm module to improve the system response speed and accuracy. The adaptive algorithm module uses machine learning algorithms, including neural network algorithms and genetic algorithms, to optimize the pressure relief control strategy based on historical pressure data and environmental parameters. The adaptive algorithm module continuously improves control performance through a combination of offline training and online learning, and supports pressure prediction and fault diagnosis functions. Step 10: The power management module provides stable power to all components of the system and has a power-off protection function. The power management module includes a backup battery and a power switching circuit. The backup battery uses a lithium-ion battery to provide temporary power support when the main power is cut off. The power switching circuit is used to automatically switch between the main power and the backup battery to ensure system continuity.

[0049] In a specific application of an embodiment of the present invention, the pressure sensor module includes a plurality of distributed high-precision pressure sensors, which are respectively installed at the top, middle and bottom of the oxygen chamber, and are used to monitor the spatial distribution of the internal pressure of the oxygen chamber in real time. The pressure sensor is manufactured using MEMS technology and has the characteristics of anti-vibration, anti-shock and anti-electromagnetic interference, and can operate stably for a long time in a high-pressure oxygen environment. Its measurement accuracy reaches ±.1kPa, and the sampling frequency is 100Hz, which can meet the monitoring requirements of high precision and high dynamic range. The pressure sensor module uses a data fusion algorithm to fuse the pressure data of multiple sensors to generate a comprehensive pressure value, eliminate the influence of local pressure fluctuations on the overall pressure monitoring, and improve the accuracy and reliability of the pressure data. The data fusion algorithm adopts the Kalman filter algorithm, which can effectively filter out noise and provide smooth pressure data.

[0050] The control unit utilizes a high-performance embedded microprocessor with built-in multimodal pressure control algorithms, including PID, fuzzy, and adaptive predictive control. The PID algorithm achieves precise pressure regulation, rapidly eliminating pressure deviations through proportional, integral, and differential control. The fuzzy control algorithm handles nonlinear pressure fluctuations and optimizes the control strategy through fuzzy logic reasoning. The adaptive predictive control algorithm dynamically adjusts control parameters based on historical data and current operating conditions, improving system response speed and control accuracy. The control unit receives real-time data from the pressure sensor module, calculates the deviation between the current pressure and the target pressure, and generates a control signal to dynamically adjust the opening and response time of the pressure relief valve module to ensure that the internal pressure of the oxygen chamber remains within a safe range. The pressure relief valve module consists of a main pressure relief valve and an auxiliary pressure relief valve. The main pressure relief valve uses a proportional control solenoid valve for normal pressure regulation, precisely adjusting its opening according to the control signal to achieve smooth pressure relief. The auxiliary pressure relief valve uses a fast-response solenoid valve to provide rapid pressure relief support during sudden pressure fluctuations, ensuring that the oxygen chamber quickly returns to a safe pressure range in the event of an emergency. The main pressure relief valve and auxiliary pressure relief valve are connected in parallel and are uniformly controlled by the control unit. The response time of the pressure relief valve module is less than 50ms, which can meet the regulation requirements of high dynamic pressure changes. The pressure relief valve module is made of high-temperature resistant and corrosion-resistant materials, suitable for high-pressure oxygen environment, and can operate stably for a long time under high humidity and high pressure conditions.

[0051] The user interface module includes a 10-inch touchscreen display that supports real-time display of pressure curves, target pressure value setting, pressure relief operation record query, and system status alarm functions. The touchscreen display uses a high-resolution IPS screen and supports wide-viewing angle display to ensure clear display of content under different lighting conditions. The user interface module simplifies the operating process through a graphical interface and supports multi-touch and gesture operations. Users can quickly switch interfaces, adjust parameters, and view historical data through gestures such as sliding and zooming. In addition, the user interface module also supports multi-language switching to meet the needs of users in different regions, and has built-in operation guidance and fault prompt functions to help users quickly master system operation methods and troubleshoot common faults.

[0052] The safety protection module includes an overpressure protection circuit and an emergency pressure relief device. The overpressure protection circuit automatically cuts off power when pressure exceeds a preset threshold, preventing further system operation. The emergency pressure relief device uses a mechanical quick-release valve to quickly release pressure in the event of a system failure or pressure overrun, ensuring the safety of the oxygen chamber. The safety protection module has a response time of less than 100ms, enabling rapid activation in emergencies and maximizing user safety. Furthermore, the safety protection module supports a mechanical lockout function to prevent accidental operation and ensure that the emergency pressure relief device is only triggered in emergencies. The data storage module uses high-speed non-volatile memory to support long-term storage of pressure data, pressure relief operation logs, and system fault records. With a storage capacity of 128GB, it meets the data storage requirements of long-term operation. The data storage module supports data export and analysis via USB or wireless communication, facilitating data mining and system optimization. For example, by analyzing historical pressure data, the system can identify patterns in pressure fluctuations, optimize pressure relief control strategies, and improve system control accuracy and response speed. Furthermore, the data storage module supports data encryption and access control to ensure the security of stored data and prevent unauthorized access and tampering.

[0053] The communication module supports both wired and wireless communication. Wired communication utilizes RS485 or CAN bus protocols, while wireless communication utilizes Wi-Fi or Bluetooth protocols, with data transmission rates reaching 10 Mbps. The communication module utilizes mesh networking technology to ensure stable communication in complex environments, supporting multi-node ad hoc networking and dynamic routing optimization. Through the communication module, the system can exchange data with external devices or remote monitoring systems, enabling remote control and monitoring. For example, users can remotely view the oxygen chamber pressure status, adjust the target pressure, and receive system alarms via a mobile phone or computer, enhancing system convenience and flexibility. The environmental monitoring module includes temperature, humidity, and pressure sensors to monitor the external environmental parameters of the oxygen chamber and feed this data back to the control unit. With measurement accuracies of ±0.1°C, ±1%RH, and ±0.1kPa, respectively, the environmental monitoring module provides the control unit with precise environmental data, assisting the system in optimizing pressure relief control strategies. For example, in high temperature and high humidity environments, the system can automatically adjust the opening and response time of the pressure relief valve to mitigate pressure fluctuations caused by environmental changes.

[0054] The adaptive algorithm module utilizes machine learning algorithms, including neural networks and genetic algorithms, to optimize the pressure relief control strategy based on historical pressure data and environmental parameters. The adaptive algorithm module continuously improves control performance through a combination of offline training and online learning, supporting pressure prediction and fault diagnosis. For example, the system can predict future pressure trends based on historical pressure data and proactively adjust the pressure relief valve opening to prevent pressure overshoot. The adaptive algorithm module also supports fault diagnosis, identifying abnormalities during system operation and providing troubleshooting suggestions, thereby improving system reliability and maintainability. The power management module includes a backup battery and a power switching circuit. The backup battery, a lithium-ion battery, provides temporary power during a main power outage. The power switching circuit automatically switches between the main power source and the backup battery to ensure continuous system operation. The backup battery has a battery life of over 8 hours, ensuring long power outages. The power management module also supports fast charging, which takes less than 2 hours to quickly restore battery power. Furthermore, the power management module uses a battery monitoring function to monitor the backup battery's charge status in real time and prompts the user through the user interface module to replace the battery, ensuring continued system operation during power outages.

[0055] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0056] The present invention and its embodiments are described above. This description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if a person skilled in the art is inspired by this and, without departing from the purpose of the present invention, designs structures and embodiments similar to this technical solution without inventiveness, they shall fall within the scope of protection of the present invention.

Claims

1. An auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber, characterized in that: Includes the following components: Pressure sensor module: This module includes multiple distributed high-precision pressure sensors installed at the top, middle, and bottom of the oxygen chamber. These sensors monitor the spatial distribution of pressure inside the chamber in real time and generate a comprehensive pressure value using a data fusion algorithm. The pressure sensor module has a measurement accuracy of ±0.1 kPa and a sampling frequency of 100 Hz. Pressure relief valve module: includes a main pressure relief valve and an auxiliary pressure relief valve. The main pressure relief valve uses a proportional control solenoid valve for conventional pressure regulation, and the auxiliary pressure relief valve uses a fast-response solenoid valve to provide rapid pressure relief support when the pressure changes sharply. The main pressure relief valve and the auxiliary pressure relief valve are connected in parallel and independently controlled by the control unit. The response time of the pressure relief valve module is less than 50ms; Control unit: uses a high-performance embedded microprocessor with built-in multi-modal pressure control algorithms, including PID control algorithm, fuzzy control algorithm and adaptive predictive control algorithm. It is used to dynamically adjust the opening and response time of the pressure relief valve module according to the deviation between real-time pressure data and target pressure value. The control unit supports real-time display of pressure curves and playback of historical data; User Interface Module: Includes a 10-inch touch screen display that supports real-time display of pressure curves, target pressure value setting, pressure relief operation record query, and system status alarm functions. The user interface module simplifies the operation process through a graphical interface and supports multi-language switching to improve the user experience; Safety protection module: includes an overvoltage protection circuit and an emergency pressure relief device. The overvoltage protection circuit is used to automatically cut off the power supply when the pressure exceeds the preset threshold. The emergency pressure relief device uses a mechanical rapid pressure relief valve to quickly release pressure mechanically in the event of system failure or pressure exceeding the limit, ensuring the safety of the oxygen chamber. The response time of the safety protection module is less than 100ms. Data storage module: uses high-speed non-volatile memory to support long-term storage of pressure data, pressure relief operation logs and system fault records. The data storage module supports data export and analysis through USB interface or wireless communication, with a storage capacity of 128GB; Communication module: supports both wired and wireless communication. Wired communication uses RS485 or CAN bus protocol, and wireless communication uses Wi-Fi or Bluetooth protocol. It is used to interact with external devices or remote monitoring systems to achieve remote control and monitoring. The data transmission rate of the communication module reaches 10Mbps. Power management module: includes a backup battery and a power switching circuit. The backup battery uses a lithium-ion battery to provide temporary power support when the main power is cut off. The power switching circuit is used to automatically switch between the main power supply and the backup battery to ensure continuous operation of the system. The backup battery has a battery life of more than 8 hours. Environmental monitoring module: includes temperature sensor, humidity sensor and air pressure sensor, which are used to monitor the external environmental parameters of the oxygen chamber and feed the data back to the control unit. The measurement accuracy of the environmental monitoring module is ±0.1℃, ±1%RH and ±0.1kPa respectively; Adaptive algorithm module: Adopts machine learning algorithms, including neural network algorithms and genetic algorithms, to optimize the pressure relief control strategy based on historical pressure data and environmental parameters, thereby improving the system response speed and accuracy. The adaptive algorithm module continuously improves control performance through a combination of offline training and online learning, and supports pressure prediction and fault diagnosis functions.

2. The auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber according to claim 1, characterized in that: The distributed high-precision pressure sensor of the pressure sensor module is manufactured using MEMS technology and has the characteristics of anti-vibration, anti-shock and anti-electromagnetic interference. The pressure sensor module ensures long-term stability through the self-calibration function.

3. The auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber according to claim 1, characterized in that: The main pressure relief valve and auxiliary pressure relief valve of the pressure relief valve module are both made of high-temperature resistant and corrosion-resistant materials, suitable for high-pressure oxygen environments, and the pressure relief valve module passes the sealing test to ensure no leakage.

4. The auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber according to claim 1, characterized in that: The multimodal pressure control algorithm of the control unit supports three operating modes: manual mode, automatic mode and intelligent mode. The manual mode allows the user to manually adjust the pressure relief valve opening; the automatic mode automatically adjusts the pressure relief valve opening according to the preset target pressure value; and the intelligent mode dynamically adjusts the control parameters according to the optimization strategy of the adaptive algorithm module.

5. The auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber according to claim 1, characterized in that: The touch screen display of the user interface module supports multi-touch and gesture operations. The user interface module enhances the user experience through voice prompts and visual alarm functions, and supports remote firmware upgrades.

6. The auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber according to claim 1, characterized in that: The overvoltage protection circuit of the safety protection module adopts a dual redundant design to ensure that it can still work normally in the event of a single point failure, and the emergency pressure relief device prevents misoperation through a mechanical locking function.

7. The auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber according to claim 1, characterized in that: The non-volatile memory of the data storage module supports data encryption and access permission control to ensure data security, and the data storage module realizes data backup and sharing through cloud storage function.

8. The auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber according to claim 1, characterized in that: The wireless communication function of the communication module supports Mesh network technology to ensure stable communication in complex environments. The communication module reduces transmission delay through data compression technology.

9. The auxiliary pressure relief control system for a micro-hyperbaric oxygen chamber according to claim 1, characterized in that: The backup battery of the power management module supports a fast charging function, with a charging time of less than 2 hours. The power management module reminds the user to replace the battery through the power monitoring function.

10. The method for auxiliary pressure relief control for a micro-hyperbaric oxygen chamber according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: The internal pressure of the oxygen chamber is monitored in real time through the pressure sensor module. The pressure sensor module includes multiple distributed high-precision pressure sensors installed at the top, middle, and bottom of the oxygen chamber. It is used to obtain the spatial distribution data of the internal pressure of the oxygen chamber and generate a comprehensive pressure value through a data fusion algorithm. The measurement accuracy of the pressure sensor module reaches ±0.1kPa, and the sampling frequency is 100Hz. Step 2: The control unit receives the pressure data, compares it with the target pressure value entered by the user, and generates a control signal. The control unit uses a high-performance embedded microprocessor with a built-in multi-modal pressure control algorithm, including PID control algorithm, fuzzy control algorithm and adaptive predictive control algorithm. It is used to dynamically adjust the opening and response time of the pressure relief valve module according to the deviation between the real-time pressure data and the target pressure value; Step 3: Adjust the opening and response time of the pressure relief valve module according to the control signal. The pressure relief valve module includes a main pressure relief valve and an auxiliary pressure relief valve. The main pressure relief valve uses a proportional control solenoid valve for conventional pressure regulation, and the auxiliary pressure relief valve uses a fast response solenoid valve to provide rapid pressure relief support when the pressure changes sharply. The main pressure relief valve and the auxiliary pressure relief valve are connected in parallel and independently controlled by the control unit. The response time of the pressure relief valve module is less than 50ms. Step 4: The internal pressure status of the oxygen chamber is displayed through the user interface module, and the pressure relief operation log is recorded. The user interface module includes a 10-inch touch screen display that supports real-time display of pressure curves, target pressure value setting, pressure relief operation record query, and system status alarm functions. The user interface module simplifies the operation process through a graphical interface and supports multi-language switching to improve the user experience; Step 5: In the event of a system failure or pressure exceeding the limit, the safety protection module automatically initiates emergency pressure relief to ensure the safety of the oxygen chamber. The safety protection module includes an overpressure protection circuit and an emergency pressure relief device. The overpressure protection circuit is used to automatically cut off the power supply when the pressure exceeds the preset threshold. The emergency pressure relief device uses a mechanical fast pressure relief valve to quickly release pressure mechanically in the event of a system failure or pressure exceeding the limit. The response time of the safety protection module is less than 100ms. Step 6: The oxygen chamber pressure data and pressure relief operation log are recorded through the data storage module, and data export and analysis are supported. The data storage module uses high-speed non-volatile memory to support long-term storage of pressure data, pressure relief operation logs, and system fault records. The data storage module supports data export and analysis through a USB interface or wireless communication, and the storage capacity is 128GB. Step 7: Data is exchanged with external devices or remote monitoring systems through the communication module to achieve remote control and monitoring. The communication module supports both wired and wireless communication. Wired communication uses RS485 or CAN bus protocol, and wireless communication uses Wi-Fi or Bluetooth protocol. The data transmission rate of the communication module reaches 10Mbps. Step 8: The environmental monitoring module monitors the external environmental parameters of the oxygen chamber and feeds the data back to the control unit. The environmental monitoring module includes a temperature sensor, a humidity sensor, and an air pressure sensor for monitoring the external environmental parameters of the oxygen chamber. The measurement accuracy of the environmental monitoring module is ±0.1°C, ±1%RH, and ±0.1kPa respectively. Step 9: Optimize the pressure relief control strategy through the adaptive algorithm module to improve the system response speed and accuracy. The adaptive algorithm module uses machine learning algorithms, including neural network algorithms and genetic algorithms, to optimize the pressure relief control strategy based on historical pressure data and environmental parameters. The adaptive algorithm module continuously improves control performance through a combination of offline training and online learning, and supports pressure prediction and fault diagnosis functions. Step 10: The power management module provides stable power to all components of the system and has a power-off protection function. The power management module includes a backup battery and a power switching circuit. The backup battery uses a lithium-ion battery to provide temporary power support when the main power is cut off. The power switching circuit is used to automatically switch between the main power and the backup battery to ensure system continuity.

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