Intelligent micro-high-pressure hydrogen-oxygen cabin control method and system

Abstract

The invention relates to the technical field of hydrogen-oxygen cabin control, in particular to an intelligent micro-high-pressure hydrogen-oxygen cabin control method and system.The method comprises the steps that after it is detected that a user enters a micro-high-pressure hydrogen-oxygen cabin, user login information is obtained, whether the user login information is an initial application user or not is verified, if yes, body parameter information of the user is collected, and if not, the body parameter information of the user is sent to the micro-high-pressure hydrogen-oxygen cabin; constructing a virtual character model of the user based on the body parameter information, performing a micro-high-pressure hydrogen-oxygen test on the user according to a first preset time period to obtain a reference body dynamic parameter, and combining the reference body dynamic parameter and the environment parameter with the virtual character model to obtain a character data model, and determining optimal environment parameters according to the figure data model, sorting the optimal environment parameters according to a time node sequence to obtain an environment parameter set, generating an environment control scheme based on the environment parameter set, and controlling the micro high-pressure hydrogen-oxygen cabin to perform operation output. The treatment effect of the micro-high-pressure hydrogen-oxygen cabin is improved.

Description

Technical Field

[0001] The present application relates to the technical field of hydrogen-oxygen chamber control, and in particular to an intelligent micro-high-pressure hydrogen-oxygen chamber control method and system. Background Art

[0002] Hydrogen-oxygen therapy, as an emerging healthcare tool, has garnered widespread attention in recent years. Hydrogen possesses multiple biological effects, including selective antioxidant, anti-inflammatory, and anti-apoptotic properties, while oxygen is essential for maintaining normal human physiological functions. Inhaling a mixture of hydrogen and oxygen in a specific ratio can play a positive role in treating a variety of diseases and promoting health. For example, in the treatment of respiratory conditions such as chronic obstructive pulmonary disease (COPD) and asthma, a hydrogen-oxygen mixture can improve respiratory function and reduce inflammation. Hydrogen-oxygen therapy has also been shown to have neuroprotective effects in studies of neurological disorders such as Parkinson's disease and Alzheimer's disease. Furthermore, hydrogen-oxygen therapy is increasingly demonstrating its potential in sports rehabilitation, cosmetic and anti-aging treatments, and other fields.

[0003] As people's pursuit of health and medical quality continues to improve, the demand for hydrogen-oxygen therapy is also growing. Micro-hyperbaric hydrogen-oxygen chambers, devices that provide a hydrogen-oxygen mixture at a specific pressure, offer a more effective means of implementing hydrogen-oxygen therapy. Under micro-hyperbaric conditions, the solubility of hydrogen and oxygen in human tissue increases, allowing them to penetrate deeper into cells, thereby enhancing their biological effects.

[0004] Currently, some micro-hyperbaric hydrogen-oxygen chambers on the market have relatively simple control methods, relying primarily on traditional mechanical or simple electronic control devices. These devices have low precision in controlling key parameters such as pressure and hydrogen-oxygen concentration, making them difficult to meet diverse treatment needs and individual differences, thereby reducing the therapeutic effectiveness of the micro-hyperbaric hydrogen-oxygen chambers. Summary of the Invention

[0005] In order to solve at least one of the above technical problems, the present application provides an intelligent micro-high-pressure hydrogen-oxygen chamber control method and system.

[0006] In the first aspect, the present application provides a method for controlling an intelligent micro-high-pressure hydrogen-oxygen chamber, which adopts the following technical solutions: When it is detected that the user has entered the micro-high-pressure hydrogen and oxygen chamber, the user login information is obtained; Verify whether the user login information is that of an initial application user. If so, collect the user's physical parameter information, build a virtual character model of the user based on the physical parameter information, and perform a micro-high-pressure hydrogen and oxygen test on the user according to a first preset time period to obtain the user's baseline physical dynamic parameters under different environmental parameters in the micro-high-pressure hydrogen and oxygen chamber; Combining the reference body dynamic parameters and the environmental parameters with the virtual character model to obtain a character data model; Determining optimal environmental parameters applicable to the user at different time nodes according to the character data model, and sorting the optimal environmental parameters according to the time node sequence to obtain an environmental parameter set; An environmental control scheme is generated based on the environmental parameter set to control the micro-high-pressure hydrogen and oxygen chamber to perform operation output.

[0007] By employing the above technical solution, upon entering the micro-hyperbaric hydrogen-oxygen chamber, login information is promptly obtained and verification of the user's initial user status is performed, ensuring accurate user identification and laying the foundation for subsequent personalized services. For initial users, physical parameters are collected and a virtual character model is constructed, enabling the system to gain a preliminary understanding of the user's physical condition. Next, micro-hyperbaric hydrogen-oxygen testing is performed at a first preset time period to obtain baseline dynamic body parameters under different environmental parameters. This provides data support for subsequent analysis, enabling the system to more accurately understand the user's physical reactions in different environments and provide personalized services more tailored to their physical condition. The baseline dynamic body parameters and environmental parameters are then combined with the virtual character model to form a character data model. This achieves a deep fusion of the user's physical parameters and environmental parameters, enabling the system to more comprehensively understand the user's physical condition in different environments. The construction of the character data model provides a richer data dimension for subsequent analysis, helping the system more accurately determine the optimal environmental parameters for the user at different time points. This can better meet the user's physical needs and enhance their comfort and therapeutic effectiveness within the micro-hyperbaric hydrogen-oxygen chamber. Based on the persona data model, the optimal environmental parameters for each user at different time points are determined and sorted according to the time point sequence to generate an environmental parameter set. This enables dynamic adjustment and optimization of environmental parameters, allowing the system to adjust the environmental parameters within the micro-hyperbaric hydrogen-oxygen chamber in real time based on changes in the user's physical condition. The generation of this environmental parameter set provides clear guidance for subsequent environmental control, enabling the system to more precisely control the micro-hyperbaric hydrogen-oxygen chamber's operational output, thereby providing a more comfortable and safe treatment environment for the user. Based on the environmental parameter set, an environmental control plan is generated and used to control the micro-hyperbaric hydrogen-oxygen chamber's operational output. This automated and intelligent environmental control system allows the system to automatically adjust various environmental parameters within the micro-hyperbaric hydrogen-oxygen chamber based on the preset environmental parameter set, ensuring that the user is always in the optimal treatment environment. The generation and implementation of this environmental control plan not only improves the efficiency of the micro-hyperbaric hydrogen-oxygen chamber but also significantly enhances treatment outcomes and user satisfaction.

[0008] In one possible implementation, verifying whether the user login information is that of an initial application user includes: If the user login information is not an initial application user, a historical control scheme and a historical population model are obtained, and a micro-high-pressure hydrogen and oxygen test is performed on the user according to a second preset time period to obtain the user's body dynamic parameters under different environmental parameters in the micro-high-pressure hydrogen and oxygen chamber; determining whether there is a parameter error between the baseline body dynamic parameter and the performance body dynamic parameter, and if so, periodically adjusting the baseline body dynamic parameter based on the performance body dynamic parameter to obtain an adjusted baseline body dynamic parameter; performing a model update based on the adjusted baseline body dynamic parameters, the environmental parameters, and the character data model to obtain an updated character data model; Determining updated environmental parameters applicable to the user at different time nodes based on the updated character data model, and sorting the updated environmental parameters according to a time node sequence to obtain an environmental parameter set; The environmental control scheme is updated based on the environmental parameter set, and the micro-high-pressure hydrogen and oxygen chamber is controlled to perform operation output based on the updated environmental control scheme.

[0009] In one possible implementation, the generating of an environmental control scheme based on the environmental parameter set to control the micro-high-pressure hydrogen and oxygen chamber to perform operation output further includes: Real-time collection of environmental parameters in the hydrogen and oxygen cabin; Determine the output environmental parameters corresponding to the current time node according to the environmental control scheme; Comparing the real-time environment parameters with the output environment parameters to determine whether the real-time environment parameters match the output environment parameters; if not, making an abnormal output record based on the current time node, the real-time environment parameters, and the output environment parameters; determining whether the total number of abnormal output records is greater than a preset number; if not, pre-adjusting the output environment parameter according to a difference relationship between the output environment parameter and the real-time environment parameter to obtain a plurality of sets of pre-adjusted output environment parameters and a plurality of sets of real-time environment parameters; and performing correction analysis on the plurality of sets of output environment parameters and the plurality of sets of real-time environment parameters to obtain corrected output environment parameters; The environmental control scheme is updated according to the corrected output environmental parameters to obtain an updated environmental control scheme.

[0010] In one possible implementation, pre-fine-tuning the output environment parameter according to the difference between the output environment parameter and the real-time environment parameter to obtain multiple sets of pre-fine-tuned output environment parameters and multiple sets of real-time environment parameters includes: Obtaining a pre-fine-tuning standard, wherein the pre-fine-tuning standard is a standard corresponding to different difference relationships between the output environment parameter and the real-time environment parameter and the number of fine-tuning times and the amplitude of the fine-tuning parameter; Adapting the difference relationship with the difference relationship in the pre-fine-tuning standard to obtain a target fine-tuning number and a target fine-tuning parameter amplitude; Performing multiple fine-tuning on the output environmental parameters according to the target fine-tuning times and the target fine-tuning parameter amplitude, and recording in real time the real-time environmental parameters in the hydrogen-oxygen chamber after each fine-tuning of the output environmental parameters is completed; Integrating the output environment parameters and the output environment parameters after each fine-tuning to obtain multiple sets of output environment parameters after pre-fine-tuning; The real-time environmental parameters and the real-time environmental parameters in the hydrogen and oxygen chamber after each fine-tuning of the output environmental parameters are integrated to obtain multiple sets of real-time environmental parameters.

[0011] In one possible implementation, the performing correction analysis on the multiple sets of output environment parameters and the multiple sets of real-time environment parameters to obtain corrected output environment parameters includes: Grouping the multiple groups of output environment parameters and the multiple groups of real-time environment parameters to obtain multiple groups of parameters to be corrected, each group of the multiple groups of parameters to be corrected includes an output environment parameter and a real-time environment parameter corresponding to the fine-tuning of the output environment parameter; Grouping each group of parameters to be corrected in the plurality of groups of parameters to be corrected into groups of two by two according to adjacent time nodes, to obtain a solution parameter group corresponding to each group of abnormal parameters to be corrected; Inputting the output environmental parameter and the actual environmental parameter in the solution parameter group into a preset correction algorithm for calculation respectively to obtain a first correction coefficient and a second correction coefficient; generating a correction coefficient sequence table according to the first correction coefficient and the second correction coefficient, in combination with the output environmental parameter and the actual environmental parameter; The output environmental parameters in the solution parameter group are corrected according to the correction coefficient sequence table to obtain corrected output environmental parameters.

[0012] In a possible implementation, correcting the output environmental parameters in the solution parameter group according to the correction coefficient sequence table to obtain the corrected output environmental parameters includes: Calculating the parameter difference between the output environmental parameter and the actual environmental parameter in each row of parameter data in the correction coefficient sequence table to obtain the parameter difference corresponding to each row of parameter data in the correction coefficient sequence table; Determining whether the parameter difference is an abnormal mutation difference; if so, removing the parameter data corresponding to the parameter difference, and calculating the mean of the remaining first correction coefficients and the mean of the remaining second correction coefficients in the correction coefficient sequence to obtain a first representative correction coefficient and a second representative correction coefficient; The environmental parameters of the environmental control scheme, the first representative correction coefficient, and the second representative correction coefficient are input into a preset correction algorithm for calculation to obtain corrected output environmental parameters.

[0013] In a possible implementation, the determining whether the total number of abnormal output records is greater than a preset number further includes: If the total number of abnormal output records is greater than a preset number, hydrogen and oxygen chamber maintenance information is generated and sent to the target device.

[0014] In a second aspect, the present application provides an intelligent micro-high-pressure hydrogen-oxygen chamber control system, which adopts the following technical solutions: An intelligent micro-high-pressure hydrogen and oxygen chamber control system, comprising: The information acquisition module is used to obtain user login information when detecting that the user has entered the micro-high-pressure hydrogen and oxygen chamber; a parameter testing module, configured to verify whether the user login information is that of an initial application user; if so, to collect the user's physical parameter information, to construct a virtual character model of the user based on the physical parameter information, and to perform a micro-high-pressure hydrogen-oxygen test on the user according to a first preset time period to obtain baseline physical dynamic parameters of the user under different environmental parameters in the micro-high-pressure hydrogen-oxygen chamber; a digital-analog combining module, configured to combine the reference body dynamic parameters and the environmental parameters with the virtual character model to obtain a character data model; A parameter sorting module is used to determine the optimal environmental parameters applicable to the user at different time nodes based on the character data model, and sort the optimal environmental parameters according to the time node sequence to obtain an environmental parameter set; A scheme generation module is used to generate an environmental control scheme based on the environmental parameter set and control the micro-high-pressure hydrogen and oxygen chamber to perform operation output.

[0015] In a possible implementation, when verifying whether the user login information is that of an initial application user, the parameter testing module is specifically configured to: If the user login information is not an initial application user, a historical control scheme and a historical population model are obtained, and a micro-high-pressure hydrogen and oxygen test is performed on the user according to a second preset time period to obtain the user's body dynamic parameters under different environmental parameters in the micro-high-pressure hydrogen and oxygen chamber; determining whether there is a parameter error between the baseline body dynamic parameter and the performance body dynamic parameter, and if so, periodically adjusting the baseline body dynamic parameter based on the performance body dynamic parameter to obtain an adjusted baseline body dynamic parameter; performing a model update based on the adjusted baseline body dynamic parameters, the environmental parameters, and the character data model to obtain an updated character data model; Determining updated environmental parameters applicable to the user at different time nodes based on the updated character data model, and sorting the updated environmental parameters according to a time node sequence to obtain an environmental parameter set; The environmental control scheme is updated based on the environmental parameter set, and the micro-high-pressure hydrogen and oxygen chamber is controlled to perform operation output based on the updated environmental control scheme.

[0016] In another possible implementation, the system further includes: a real-time acquisition module, a parameter determination module, a parameter comparison module, a parameter correction module, and a solution update module, wherein: The real-time acquisition module is used to collect real-time environmental parameters in the hydrogen and oxygen cabin; The parameter determination module is used to determine the output environmental parameters corresponding to the current time node according to the environmental control scheme; The parameter comparison module is used to compare the real-time environment parameters and the output environment parameters to determine whether the real-time environment parameters are compatible with the output environment parameters. If they are not compatible, an abnormal output record is made based on the current time node, the real-time environment parameters and the output environment parameters. The parameter correction module is configured to determine whether the total number of abnormal output records is greater than a preset number; if not, pre-fine-tune the output environment parameters based on the difference between the output environment parameters and the real-time environment parameters to obtain multiple sets of pre-fine-tune output environment parameters and multiple sets of real-time environment parameters, and perform correction analysis on the multiple sets of output environment parameters and the multiple sets of real-time environment parameters to obtain corrected output environment parameters; The scheme updating module is used to update the environmental control scheme according to the corrected output environmental parameters to obtain an updated environmental control scheme.

[0017] In another possible implementation, when the parameter correction module pre-fine-tunes the output environment parameter based on the difference relationship between the output environment parameter and the real-time environment parameter to obtain multiple sets of pre-fine-tuned output environment parameters and multiple sets of real-time environment parameters, it is specifically configured to: Obtaining a pre-fine-tuning standard, wherein the pre-fine-tuning standard is a standard corresponding to different difference relationships between the output environment parameter and the real-time environment parameter and the number of fine-tuning times and the amplitude of the fine-tuning parameter; Adapting the difference relationship with the difference relationship in the pre-fine-tuning standard to obtain a target fine-tuning number and a target fine-tuning parameter amplitude; Performing multiple fine-tuning on the output environmental parameters according to the target fine-tuning times and the target fine-tuning parameter amplitude, and recording in real time the real-time environmental parameters in the hydrogen-oxygen chamber after each fine-tuning of the output environmental parameters is completed; Integrating the output environment parameters and the output environment parameters after each fine-tuning to obtain multiple sets of output environment parameters after pre-fine-tuning; The real-time environmental parameters and the real-time environmental parameters in the hydrogen and oxygen chamber after each fine-tuning of the output environmental parameters are integrated to obtain multiple sets of real-time environmental parameters.

[0018] In another possible implementation, when the parameter correction module performs correction analysis on the multiple sets of output environment parameters and the multiple sets of real-time environment parameters to obtain corrected output environment parameters, it is specifically configured to: Grouping the multiple groups of output environment parameters and the multiple groups of real-time environment parameters to obtain multiple groups of parameters to be corrected, each group of the multiple groups of parameters to be corrected includes an output environment parameter and a real-time environment parameter corresponding to the fine-tuning of the output environment parameter; Grouping each group of parameters to be corrected in the plurality of groups of parameters to be corrected into groups of two by two according to adjacent time nodes, to obtain a solution parameter group corresponding to each group of abnormal parameters to be corrected; Inputting the output environmental parameter and the actual environmental parameter in the solution parameter group into a preset correction algorithm for calculation respectively to obtain a first correction coefficient and a second correction coefficient; generating a correction coefficient sequence table according to the first correction coefficient and the second correction coefficient, in combination with the output environmental parameter and the actual environmental parameter; The output environmental parameters in the solution parameter group are corrected according to the correction coefficient sequence table to obtain corrected output environmental parameters.

[0019] In another possible implementation, when the parameter correction module corrects the output environmental parameters in the solution parameter group according to the correction coefficient sequence table to obtain the corrected output environmental parameters, it is specifically configured to: Calculating the parameter difference between the output environmental parameter and the actual environmental parameter in each row of parameter data in the correction coefficient sequence table to obtain the parameter difference corresponding to each row of parameter data in the correction coefficient sequence table; Determining whether the parameter difference is an abnormal mutation difference; if so, removing the parameter data corresponding to the parameter difference, and calculating the mean of the remaining first correction coefficients and the mean of the remaining second correction coefficients in the correction coefficient sequence to obtain a first representative correction coefficient and a second representative correction coefficient; The environmental parameters of the environmental control scheme, the first representative correction coefficient, and the second representative correction coefficient are input into a preset correction algorithm for calculation to obtain corrected output environmental parameters.

[0020] In another possible implementation, the system further includes: a maintenance monitoring module, wherein: The maintenance monitoring module is used to generate hydrogen and oxygen chamber maintenance information when the total number of abnormal output records is greater than a preset number, and send the hydrogen and oxygen chamber maintenance information to the target device.

[0021] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: at least one processor; Memory; At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and at least one application is configured to: execute an intelligent micro-high-pressure hydrogen-oxygen chamber control method as described in any one of the first aspects.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute an intelligent micro-high-pressure hydrogen-oxygen chamber control method as described in any one of the first aspects.

[0023] In summary, this application includes at least one of the following beneficial technical effects: After the user enters the micro-hyperbaric hydrogen and oxygen chamber, login information is promptly obtained and verification is performed to determine if the user is the initial user. This ensures accurate identification of the user and lays the foundation for subsequent personalized services. For the initial user, physical parameters are collected and a virtual character model is constructed, allowing the system to gain a preliminary understanding of the user's physical condition. Next, micro-hyperbaric hydrogen and oxygen testing is performed at a first preset time period to obtain baseline dynamic body parameters under different environmental parameters. This provides data support for subsequent analysis, allowing the system to more accurately understand the user's physical reactions in different environments and provide personalized services more tailored to their physical condition. The baseline dynamic body parameters and environmental parameters are combined with the virtual character model to form a character data model. This achieves a deep fusion of user physical parameters and environmental parameters, allowing the system to more comprehensively understand the user's physical condition in different environments. The construction of the character data model provides a richer data dimension for subsequent analysis, helping the system more accurately determine the optimal environmental parameters for the user at different time points. This can better meet the user's physical needs and improve the user's comfort and treatment effect in the micro-hyperbaric hydrogen and oxygen chamber. Based on the character data model, the optimal environmental parameters for the user at different time points are determined, and these parameters are sorted according to the time point sequence to form an environmental parameter set. Dynamic adjustment and optimization of environmental parameters are achieved, so that the system can adjust the environmental parameters in the micro-high-pressure hydrogen and oxygen chamber in real time according to changes in the user's physical condition. The generation of environmental parameter sets provides clear guidance for subsequent environmental control, so that the system can more accurately control the operating output of the micro-high-pressure hydrogen and oxygen chamber, thereby providing users with a more comfortable and safe treatment environment. An environmental control plan is generated based on the environmental parameter set, and the micro-high-pressure hydrogen and oxygen chamber is controlled to perform operating output. Automation and intelligence of environmental control are achieved, so that the system can automatically adjust the various environmental parameters in the micro-high-pressure hydrogen and oxygen chamber according to the preset environmental parameter set, ensuring that the user is always in the best treatment environment. The generation and implementation of environmental control plans not only improves the efficiency of the use of micro-high-pressure hydrogen and oxygen chambers, but also greatly improves the treatment effect and satisfaction of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A flow chart of a method for controlling an intelligent micro-high-pressure hydrogen-oxygen chamber provided in an embodiment of the present application.

[0025] Figure 2 This is a schematic structural diagram of an intelligent micro-high-pressure hydrogen-oxygen chamber control system provided in an embodiment of the present application.

[0026] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The following is combined with Figure 1-3This application is described in further detail.

[0028] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed, but as long as they are within the scope of the present application, they are protected by patent law.

[0029] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0030] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0031] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0032] The embodiment of the present application provides a method for controlling an intelligent micro high-pressure hydrogen and oxygen chamber, which is executed by an electronic device, wherein the electronic device can be an independent physical electronic device, or an electronic device cluster or distributed system composed of multiple physical electronic devices, or a cloud electronic device that provides cloud computing services. The embodiment of the present application is not limited here, such as Figure 1 As shown, the method includes: Step S10: When it is detected that the user has entered the micro-high-pressure hydrogen and oxygen chamber, the user login information is obtained.

[0033] In this embodiment of the present application, user login information refers to the information a user needs to provide for authentication and record keeping when accessing a micro-hyperbaric hydrogen-oxygen chamber-related system or device. This information uniquely identifies the user and data related to the user's use of the micro-hyperbaric hydrogen-oxygen chamber, typically including a username, password (in some cases, other authentication methods may be used in place of a password), and user ID.

[0034] Specifically, when a user enters the micro-high-pressure hydrogen and oxygen cabin, the sensors installed in the cabin will detect the user's entry. The sensors include infrared sensors and pressure sensors. The sensors can sense changes in the cabin environment and thus determine whether a user has entered. Once the user's entry is detected, the system will immediately trigger the operation of obtaining the user's login information. The way to obtain the user's login information is usually through an interface that interacts with the user, such as a touch screen, keyboard, etc., prompting the user to enter the corresponding login information. The system will verify the information entered by the user to ensure the accuracy and validity of the information. If the information verification is passed, the system will associate the user's login information with the user's usage record for subsequent tracking of the user's usage.

[0035] Step S11: Verify whether the user login information is the initial application user. If so, collect the user's physical parameter information, build a virtual character model of the user based on the physical parameter information, and perform a micro-high-pressure hydrogen and oxygen test on the user according to a first preset time period to obtain the user's baseline body dynamic parameters under different environmental parameters in the micro-high-pressure hydrogen and oxygen chamber.

[0036] For the purposes of this application, the term "initial user" refers to a user who is first using the micro-hyperbaric hydrogen-oxygen chamber-related system or device. This refers to a user whose previous usage record is absent from the system database, meaning that this is the user's first time accessing the system to operate and experience the related services. Physical parameter information represents various data reflecting the user's physical condition. This refers to information about the user's physical functions and physiological indicators measured using specialized equipment or methods. Common physical parameter information includes heart rate, blood pressure, blood oxygen saturation, height, weight, and body fat percentage. For example, a heart rate monitor can obtain a user's heart rate data, while a sphygmomanometer can obtain a user's blood pressure data. A virtual character model represents a virtual image constructed in a computer system that corresponds to the user's physical characteristics and status. This refers to the use of the user's physical parameter information, using specific algorithms and modeling techniques, to create a digital model in a virtual environment that simulates the user's physical form, movement state, and other characteristics. For example, a three-dimensional virtual character model is constructed based on the user's height, weight, body proportions, and other parameters, and this model can be adjusted accordingly as the user's physical condition changes. A micro-hyperbaric hydrogen-oxygen test refers to a series of tests performed on a user in a relatively low-pressure micro-hyperbaric hydrogen-oxygen chamber environment. This involves placing the user in a micro-high-pressure hydrogen and oxygen chamber, adjusting the chamber's pressure and hydrogen and oxygen gas composition to create a relatively mild and safe testing environment. The user's physical indicators are then monitored and analyzed to understand their physical reactions and adaptability under different environmental parameters. Baseline body dynamic parameters represent the basic data recorded during the micro-high-pressure hydrogen and oxygen test, reflecting changes in the user's physical state under different environmental parameters. These are the dynamic changes in the user's physical indicators, collected at certain time intervals or event triggering conditions during the test. These data can serve as the basis for subsequent analysis of the user's body's adaptation to the high-pressure hydrogen and oxygen environment.

[0037] Specifically, after the system obtains the user's login information, it first checks whether the user is an initial user of the application. The system then searches the database for the user's historical usage history. If no usage history is found, the user is deemed an initial user. If the user is deemed an initial user, the system initiates a physical parameter collection process. Using various specialized devices connected to the micro-hyperbaric hydrogen and oxygen chamber, such as a heart rate monitor, blood pressure monitor, and body fat scale, the system collects the user's physical parameters, including heart rate, blood pressure, blood oxygen saturation, height, weight, and body fat percentage. After collecting these physical parameters, the system uses this information to construct a virtual character model of the user. By invoking a 3D modeling software interface, the user's physical parameter information is converted into a 3D model within the virtual environment. This model simulates the user's body shape and some movement characteristics. After constructing the virtual character model, the system performs a micro-hyperbaric hydrogen and oxygen test on the user for a first preset time period (e.g., 30 minutes). During the test, the system gradually adjusts the environmental parameters within the micro-hyperbaric hydrogen-oxygen chamber, such as pressure and the hydrogen-oxygen ratio. It also collects the user's dynamic body parameters, including heart rate, blood pressure, and respiratory rate, at regular intervals (e.g., every 5 minutes). Ultimately, the system compiles and analyzes the collected data to determine the user's baseline dynamic body parameters under different environmental parameters within the micro-hyperbaric hydrogen-oxygen chamber. These parameters will serve as an important basis for providing personalized services to the user.

[0038] In an embodiment of the present application, when the user login information is not an initial application user, the historical control scheme and the historical population model are obtained, and the user is subjected to a micro-high pressure hydrogen and oxygen test according to the second preset time period to obtain the user's performance body dynamic parameters under different environmental parameters in the micro-high pressure hydrogen and oxygen chamber. Determine whether there is a parameter error between the baseline body dynamic parameters and the performance body dynamic parameters. If so, the baseline body dynamic parameters are periodically adjusted based on the performance body dynamic parameters to obtain the adjusted baseline body dynamic parameters. The model is updated based on the adjusted baseline body dynamic parameters, the environmental parameters, and the character data model to obtain an updated character data model. Based on the updated character data model, the updated environmental parameters applicable to the user at different time nodes are determined, and the updated environmental parameters are sorted according to the time node sequence to obtain an environmental parameter set. The environmental control scheme is updated based on the environmental parameter set, and the micro-high pressure hydrogen and oxygen chamber is controlled to perform operation output based on the updated environmental control scheme.

[0039] Step S12: combining the baseline body dynamic parameters and the environmental parameters with the virtual character model to obtain a character data model.

[0040] In the embodiments of this application, the character data model represents a comprehensive data model formed by combining baseline body dynamic parameters, environmental parameters, and a virtual character model. This refers to associating and integrating the user's baseline body dynamic parameters and corresponding environmental parameters under different environmental parameters within a micro-hyperbaric hydrogen and oxygen chamber with the virtual character model to construct a model that comprehensively reflects the dynamic changes in the user's body under different environmental conditions. This model can more accurately predict and analyze the user's physical reactions in different environments, providing a basis for the development of personalized treatment and health care plans.

[0041] Specifically, after completing the micro-high-pressure hydrogen and oxygen testing and obtaining baseline body dynamic parameters and corresponding environmental parameters, the system associates these data with the previously constructed avatar model. First, the system preprocesses the baseline body dynamic parameters and environmental parameters, such as removing outliers and performing data smoothing, to ensure data accuracy and reliability. The processed data is then mapped to the body parts and physiological systems of the avatar model based on time series and corresponding environmental conditions. For example, heart rate data is associated with the heart in the avatar model, and blood pressure data is associated with the vascular system. During the mapping process, the system adjusts and simulates the avatar model's body parameters based on different environmental parameters to reflect the user's physical reactions in different environments. Ultimately, by deeply integrating and calculating the baseline body dynamic parameters, environmental parameters, and avatar model, a character data model is obtained that accurately reflects the dynamic changes in the user's body under different environmental conditions.

[0042] Step S13: determining the optimal environmental parameters applicable to the user at different time nodes according to the character data model, and sorting the optimal environmental parameters according to the time node sequence to obtain an environmental parameter set.

[0043] For the embodiments of the present application, a time node represents a specific, clearly defined moment or time period on the timeline. It refers to a series of time points or time periods that are pre-set based on the user's plan or treatment or health care plan for using the micro-high-pressure hydrogen and oxygen chamber. The optimal environmental parameters are used to represent a combination of environmental parameters that can enable the user's body to reach the optimal state or meet specific treatment and health care needs at a specific time node. It refers to the environmental parameters obtained through character data model analysis, which can enable the user's various physiological indicators to be in the most suitable range at a given time node, such as specific values ​​of pressure, hydrogen concentration, oxygen concentration, temperature, humidity, etc. The environmental parameter set refers to an ordered data set formed by arranging the optimal environmental parameters corresponding to different time nodes in chronological order. It contains the environmental parameter information required by the user at each time node during the entire process of using the micro-high-pressure hydrogen and oxygen chamber.

[0044] Specifically, after obtaining the persona data model, the system first determines a series of time nodes based on the user's usage plan or treatment or healthcare regimen. These time nodes can be flexibly set based on actual needs, for example, by hour, half-day, or day. The system then uses the persona data model to analyze and calculate each time node. Based on the user's physical response data under different environmental parameters and the preset treatment or healthcare goals, the model identifies the combination of environmental parameters that will achieve the user's optimal physical condition at that time node. During this analysis, the system considers various factors, such as the user's physical condition, treatment or healthcare needs, and interactions between environmental parameters. For example, for users with cardiovascular disease, when determining the optimal environmental parameters, the system will focus on changes in physiological indicators such as heart rate and blood pressure to ensure that the environmental parameters do not adversely affect the user's cardiovascular system. After determining the optimal environmental parameters for each time node, the system will sort these parameters in chronological order, forming an ordered set of environmental parameters.

[0045] Step S14: Generate an environmental control plan based on the environmental parameter set to control the micro-high-pressure hydrogen and oxygen chamber to perform operation output.

[0046] Specifically, after obtaining a set of environmental parameters, the system develops an environmental control plan based on the parameters. The plan specifies the corresponding operational steps for each time point. For example, at a certain time point, the chamber pressure needs to be increased to a specific value while adjusting the hydrogen and oxygen concentration ratio. When controlling the micro-hyperbaric hydrogen and oxygen chamber for output, each operation in the environmental control plan is executed sequentially in chronological order. The micro-hyperbaric hydrogen and oxygen chamber is equipped with sensors and a control system that monitors the chamber's environmental parameters in real time and feeds this data back to the control system. Based on the difference between this feedback data and the target parameters, the control system automatically adjusts chamber equipment, such as the pressure regulating valve and gas flow controller, to gradually approach and stabilize the chamber's environmental parameters at the target values. For example, if the chamber pressure is below the target value, the control system opens the pressure regulating valve to increase the pressure. If the hydrogen concentration is too high, the gas flow controller adjusts the hydrogen injection rate. Throughout the output process, the system continuously monitors and adjusts to ensure that the micro-hyperbaric hydrogen and oxygen chamber operates in accordance with the environmental control plan, providing users with stable and suitable environmental conditions.

[0047] The present embodiment provides an intelligent micro-hyperbaric hydrogen-oxygen chamber control method. Upon entering the micro-hyperbaric hydrogen-oxygen chamber, login information is promptly obtained and verified as the initial user. This ensures accurate user identification and lays the foundation for subsequent personalized services. For initial users, physical parameters are collected and a virtual character model is constructed, enabling the system to gain a preliminary understanding of the user's physical condition. Next, micro-hyperbaric hydrogen-oxygen testing is performed at a first preset time period to obtain baseline dynamic body parameters under different environmental parameters. This provides data support for subsequent analysis, enabling the system to more accurately understand the user's physical reactions in different environments and provide personalized services more tailored to their physical condition. The baseline dynamic body parameters and environmental parameters are combined with the virtual character model to form a character data model. This achieves a deep fusion of the user's physical parameters and environmental parameters, enabling the system to more comprehensively understand the user's physical condition in different environments. The construction of the character data model provides a richer data dimension for subsequent analysis, helping the system more accurately determine the optimal environmental parameters for the user at different time points. This can better meet the user's physical needs and improve their comfort and therapeutic effectiveness within the micro-hyperbaric hydrogen-oxygen chamber. Based on the persona data model, the optimal environmental parameters for each user at different time points are determined and sorted according to the time point sequence to generate an environmental parameter set. This enables dynamic adjustment and optimization of environmental parameters, allowing the system to adjust the environmental parameters within the micro-hyperbaric hydrogen-oxygen chamber in real time based on changes in the user's physical condition. The generation of this environmental parameter set provides clear guidance for subsequent environmental control, enabling the system to more precisely control the micro-hyperbaric hydrogen-oxygen chamber's operational output, thereby providing a more comfortable and safe treatment environment for the user. Based on the environmental parameter set, an environmental control plan is generated and used to control the micro-hyperbaric hydrogen-oxygen chamber's operational output. This automated and intelligent environmental control system allows the system to automatically adjust various environmental parameters within the micro-hyperbaric hydrogen-oxygen chamber based on the preset environmental parameter set, ensuring that the user is always in the optimal treatment environment. The generation and implementation of this environmental control plan not only improves the efficiency of the micro-hyperbaric hydrogen-oxygen chamber but also significantly enhances treatment outcomes and user satisfaction.

[0048] Furthermore, when controlling the micro-high-pressure hydrogen and oxygen chamber to perform operation output, the real-time environmental parameters in the hydrogen and oxygen chamber are collected in real time, the output environmental parameters corresponding to the current time node are determined according to the environmental control scheme, the real-time environmental parameters and the output environmental parameters are compared to determine whether the real-time environmental parameters are compatible with the output environmental parameters. If not, an abnormal output record is made based on the current time node, the real-time environmental parameters and the output environmental parameters. It is determined whether the total number of abnormal output records is greater than the preset number. If not, the output environmental parameters are pre-adjusted based on the difference relationship between the output environmental parameters and the real-time environmental parameters to obtain multiple sets of pre-adjusted output environmental parameters and multiple sets of real-time environmental parameters, and the multiple sets of output environmental parameters and multiple sets of real-time environmental parameters are corrected and analyzed to obtain corrected output environmental parameters. The environmental control scheme is updated according to the corrected output environmental parameters to obtain an updated environmental control scheme.

[0049] For the embodiment of the present application, when the total number of abnormal output records is greater than the preset number, it means that the current micro-high-pressure hydrogen-oxygen chamber has obvious abnormalities. At this time, the system generates hydrogen-oxygen chamber maintenance information and sends the hydrogen-oxygen chamber maintenance information to the target device, that is, the maintenance personnel's mobile communication device.

[0050] Specifically, a pre-fine-tuning standard is obtained, wherein the pre-fine-tuning standard is a corresponding standard for different difference relationships between the output environmental parameters and the real-time environmental parameters and the number of fine-tuning times and the fine-tuning parameter amplitude. The difference relationship is adapted to the difference relationship in the pre-fine-tuning standard to obtain the target number of fine-tuning times and the target fine-tuning parameter amplitude. The output environmental parameters are fine-tuned multiple times according to the target number of fine-tuning times and the target fine-tuning parameter amplitude, and the real-time environmental parameters in the hydrogen and oxygen cabin after each fine-tuning of the output environmental parameters are recorded in real time. The output environmental parameters and the output environmental parameters after each fine-tuning are integrated to obtain multiple sets of output environmental parameters after pre-fine-tuning. The real-time environmental parameters and the real-time environmental parameters in the hydrogen and oxygen cabin after each fine-tuning of the output environmental parameters are integrated to obtain multiple sets of real-time environmental parameters.

[0051] Specifically, multiple sets of output environment parameters and multiple sets of real-time environment parameters are corrected and analyzed to obtain corrected output environment parameters, including: grouping multiple sets of output environment parameters and multiple sets of real-time environment parameters to obtain multiple sets of parameters to be corrected, each set of the multiple sets of parameters to be corrected includes an output environment parameter and a real-time environment parameter corresponding to the fine-tuning of the output environment parameter. Each set of parameters to be corrected in the multiple sets of parameters to be corrected is grouped in pairs according to adjacent time nodes to obtain a solution parameter group corresponding to each set of abnormal parameters to be corrected. The output environment parameters and actual environment parameters in the solution parameter group are respectively input into a preset correction algorithm for calculation to obtain a first correction coefficient and a second correction coefficient. Based on the first correction coefficient and the second correction coefficient, combined with the output environment parameters and the actual environment parameters, a correction coefficient sequence table is generated. The output environment parameters in the solution parameter group are corrected according to the correction coefficient sequence table to obtain the corrected output environment parameters.

[0052] In an embodiment of the present application, the preset correction algorithm is y=ax+b, where y is the real-time environmental parameter, x is the output environmental parameter, a is the first correction coefficient, and b is the second correction coefficient.

[0053] In addition, the output environmental parameters in the solution parameter group are corrected according to the correction coefficient sequence table to obtain the corrected output environmental parameters, including: calculating the parameter difference between the output environmental parameters in each row of parameter data in the correction coefficient sequence table and the actual environmental parameters to obtain the parameter difference corresponding to each row of parameter data in the correction coefficient sequence table. Determine whether the parameter difference is an abnormal mutation difference. If so, remove the parameter data corresponding to the parameter difference, and calculate the mean of the remaining first correction coefficients and the mean of the remaining second correction coefficients in the correction coefficient sequence to obtain the first representative correction coefficient and the second representative correction coefficient. Input the environmental parameters of the environmental control scheme, the first representative correction coefficient, and the second representative correction coefficient into the preset correction algorithm for calculation to obtain the corrected output environmental parameters.

[0054] The following is an introduction to an intelligent micro high-pressure hydrogen and oxygen cabin control system provided by an embodiment of the present application. The intelligent micro high-pressure hydrogen and oxygen cabin control system described below and the intelligent micro high-pressure hydrogen and oxygen cabin control method described above can be referred to each other. Please refer to Figure 2 , Figure 2 : This is a structural diagram of an intelligent micro-hyperbaric hydrogen and oxygen chamber control system 20 provided in an embodiment of the present application, including: The information acquisition module 21 is used to obtain user login information when detecting that the user has entered the high-pressure hydrogen and oxygen chamber; The parameter testing module 22 is used to verify whether the user login information is that of the initial application user. If so, it collects the user's physical parameter information, builds a virtual character model of the user based on the physical parameter information, and performs a micro-high-pressure hydrogen and oxygen test on the user according to a first preset time period to obtain the user's baseline physical dynamic parameters under different environmental parameters in the high-pressure hydrogen and oxygen chamber; A digital-analog combination module 23 is used to combine the reference body dynamic parameters and the environmental parameters with the virtual character model to obtain a character data model; A parameter sorting module 24 is configured to determine optimal environmental parameters applicable to the user at different time points based on the character data model, and sort the optimal environmental parameters according to the time point sequence to obtain an environmental parameter set; The solution generation module 25 is used to generate an environmental control solution based on the environmental parameter set and control the micro-high-pressure hydrogen and oxygen chamber to perform operation output.

[0055] In one possible implementation of the embodiment of the present application, the parameter testing module 22 is specifically configured to: If the user login information is not an initial application user, the historical control plan and the historical population model are obtained, and a micro-high-pressure hydrogen and oxygen test is performed on the user according to the second preset time period to obtain the user's performance body dynamic parameters under different environmental parameters in the high-pressure hydrogen and oxygen chamber; determining whether there is a parameter error between the baseline body dynamic parameter and the performance body dynamic parameter, and if so, periodically adjusting the baseline body dynamic parameter based on the performance body dynamic parameter to obtain an adjusted baseline body dynamic parameter; updating the model according to the adjusted baseline body dynamic parameters and environmental parameters and the character data model to obtain an updated character data model; Determine updated environment parameters applicable to the user at different time nodes based on the updated character data model, and sort the updated environment parameters according to the time node sequence to obtain an environment parameter set; The environmental control scheme is updated based on the environmental parameter set, and the micro-high-pressure hydrogen and oxygen chamber is controlled to perform operation output based on the updated environmental control scheme.

[0056] In another possible implementation of the embodiment of the present application, the system 20 further includes: a real-time acquisition module, a parameter determination module, a parameter comparison module, a parameter correction module, and a solution update module, wherein: Real-time acquisition module, used to collect real-time environmental parameters in the hydrogen and oxygen cabin; A parameter determination module is used to determine the output environmental parameters corresponding to the current time node according to the environmental control plan; The parameter comparison module is used to compare the real-time environment parameters and the output environment parameters to determine whether the real-time environment parameters are compatible with the output environment parameters. If they are not compatible, an abnormal output record is made based on the current time node, the real-time environment parameters and the output environment parameters; a parameter correction module, configured to determine whether the total number of abnormal output records is greater than a preset number; if not, pre-adjusting the output environment parameters based on the difference between the output environment parameters and the real-time environment parameters to obtain multiple sets of pre-adjusted output environment parameters and multiple sets of real-time environment parameters; and performing correction analysis on the multiple sets of output environment parameters and the multiple sets of real-time environment parameters to obtain corrected output environment parameters; The scheme updating module is used to update the environmental control scheme according to the corrected output environmental parameters to obtain an updated environmental control scheme.

[0057] In another possible implementation of the embodiment of the present application, the parameter correction module pre-fine-tunes the output environment parameters according to the difference relationship between the output environment parameters and the real-time environment parameters to obtain multiple sets of pre-fine-tuned output environment parameters and multiple sets of real-time environment parameters, specifically for: Obtaining a pre-fine-tuning standard, which is a standard corresponding to different differences between output environment parameters and real-time environment parameters, and the number of fine-tuning times and the amplitude of fine-tuning parameters; The difference relationship is adapted to the difference relationship in the pre-fine-tuning standard to obtain the target fine-tuning times and the target fine-tuning parameter amplitude; Perform multiple fine-tuning of the output environmental parameters according to the target fine-tuning times and the target fine-tuning parameter amplitude, and record the real-time environmental parameters in the hydrogen and oxygen chamber after each fine-tuning of the output environmental parameters; Integrate the output environment parameters and the output environment parameters after each fine-tuning to obtain multiple sets of output environment parameters after pre-fine-tuning; The real-time environmental parameters and the real-time environmental parameters in the hydrogen and oxygen chamber after each fine-tuning of the output environmental parameters are integrated to obtain multiple sets of real-time environmental parameters.

[0058] In another possible implementation of the embodiment of the present application, the parameter correction module performs correction analysis on multiple sets of output environmental parameters and multiple sets of real-time environmental parameters to obtain corrected output environmental parameters, specifically for: Grouping the multiple sets of output environment parameters and the multiple sets of real-time environment parameters to obtain multiple sets of parameters to be corrected, each set of the multiple sets of parameters to be corrected includes an output environment parameter and a real-time environment parameter corresponding to the fine-tuning of the output environment parameter; Each group of parameters to be corrected in the multiple groups is grouped into two groups according to adjacent time nodes, and a solution parameter group corresponding to each group of abnormal parameters to be corrected is obtained; Inputting the output environmental parameters and the actual environmental parameters in the solution parameter group into a preset correction algorithm for calculation respectively to obtain a first correction coefficient and a second correction coefficient; Generate a correction coefficient sequence table according to the first correction coefficient and the second correction coefficient, combined with the output environmental parameters and the actual environmental parameters; The output environmental parameters in the solution parameter group are corrected according to the correction coefficient sequence table to obtain the corrected output environmental parameters.

[0059] In another possible implementation of the embodiment of the present application, the parameter correction module corrects the output environmental parameters in the solution parameter group according to the correction coefficient sequence table to obtain the corrected output environmental parameters, specifically for: Calculate the parameter difference between the output environmental parameter and the actual environmental parameter in each row of parameter data in the correction coefficient sequence table to obtain the parameter difference corresponding to each row of parameter data in the correction coefficient sequence table; Determine whether the parameter difference is an abnormal mutation difference. If so, remove the parameter data corresponding to the parameter difference, and calculate the mean of the remaining first correction coefficients and the mean of the remaining second correction coefficients in the correction coefficient sequence to obtain the first representative correction coefficient and the second representative correction coefficient; The environmental parameters of the environmental control scheme, the first representative correction coefficient, and the second representative correction coefficient are input into a preset correction algorithm for calculation to obtain the corrected output environmental parameters.

[0060] In another possible implementation of the embodiment of the present application, the system 20 further includes: a maintenance monitoring module, wherein: The maintenance monitoring module is used to generate hydrogen and oxygen chamber maintenance information when the total number of abnormal output records exceeds the preset number, and send the hydrogen and oxygen chamber maintenance information to the target device.

[0061] The present application embodiment provides an electronic device, such as Figure 3 As shown, Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3 The electronic device 300 shown includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 300 may further include a transceiver 304. It should be noted that in actual applications, the number of transceivers 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0062] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the embodiments disclosed herein. Processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0063] The bus 302 may include a path for transmitting information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0064] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0065] The memory 303 is used to store application code for executing the solution of the embodiment of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the above method embodiment.

[0066] Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0067] A computer-readable storage medium provided in an embodiment of the present application is introduced below. The computer-readable storage medium described below and the method described above can be referenced to each other.

[0068] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned intelligent micro-high-pressure hydrogen-oxygen chamber control system are implemented.

[0069] Since the embodiments of the computer-readable storage medium part and the embodiments of the method part correspond to each other, the embodiments of the computer-readable storage medium part refer to the description of the embodiments of the method part.

[0070] It should be understood that although the steps in the flowcharts of the accompanying drawings are shown in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the flowcharts of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0071] The above are only some of the implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for controlling an intelligent micro-high-pressure hydrogen and oxygen chamber, characterized in that: include: When it is detected that the user has entered the micro-high-pressure hydrogen and oxygen chamber, the user login information is obtained; Verify whether the user login information is that of an initial application user. If so, collect the user's physical parameter information, build a virtual character model of the user based on the physical parameter information, and perform a micro-high-pressure hydrogen and oxygen test on the user according to a first preset time period to obtain the user's baseline physical dynamic parameters under different environmental parameters in the micro-high-pressure hydrogen and oxygen chamber; Combining the reference body dynamic parameters and the environmental parameters with the virtual character model to obtain a character data model; Determining optimal environmental parameters applicable to the user at different time nodes according to the character data model, and sorting the optimal environmental parameters according to the time node sequence to obtain an environmental parameter set; An environmental control scheme is generated based on the environmental parameter set to control the micro-high-pressure hydrogen and oxygen chamber to perform operation output.

2. The intelligent micro-high-pressure hydrogen-oxygen chamber control method according to claim 1, characterized in that: The verifying whether the user login information is that of an initial application user includes: If the user login information is not an initial application user, a historical control scheme and a historical population model are obtained, and a micro-high-pressure hydrogen and oxygen test is performed on the user according to a second preset time period to obtain the user's body dynamic parameters under different environmental parameters in the micro-high-pressure hydrogen and oxygen chamber; determining whether there is a parameter error between the baseline body dynamic parameter and the performance body dynamic parameter, and if so, periodically adjusting the baseline body dynamic parameter based on the performance body dynamic parameter to obtain an adjusted baseline body dynamic parameter; performing a model update based on the adjusted baseline body dynamic parameters, the environmental parameters, and the character data model to obtain an updated character data model; Determining updated environmental parameters applicable to the user at different time nodes based on the updated character data model, and sorting the updated environmental parameters according to a time node sequence to obtain an environmental parameter set; The environmental control scheme is updated based on the environmental parameter set, and the micro-high-pressure hydrogen and oxygen chamber is controlled to perform operation output based on the updated environmental control scheme.

3. The intelligent micro-high-pressure hydrogen-oxygen chamber control method according to any one of claims 1-2, characterized in that: The method further comprises: generating an environmental control scheme based on the environmental parameter set and controlling the micro-high-pressure hydrogen and oxygen chamber to perform operation output; Real-time collection of environmental parameters in the hydrogen and oxygen cabin; Determine the output environmental parameters corresponding to the current time node according to the environmental control scheme; Comparing the real-time environment parameters with the output environment parameters to determine whether the real-time environment parameters match the output environment parameters; if not, making an abnormal output record based on the current time node, the real-time environment parameters, and the output environment parameters; determining whether the total number of abnormal output records is greater than a preset number; if not, pre-adjusting the output environment parameter according to a difference relationship between the output environment parameter and the real-time environment parameter to obtain a plurality of sets of pre-adjusted output environment parameters and a plurality of sets of real-time environment parameters; and performing correction analysis on the plurality of sets of output environment parameters and the plurality of sets of real-time environment parameters to obtain corrected output environment parameters; The environmental control scheme is updated according to the corrected output environmental parameters to obtain an updated environmental control scheme.

4. The intelligent micro-high-pressure hydrogen and oxygen chamber control method according to claim 3 is characterized in that: The pre-fine-tuning of the output environment parameter according to the difference relationship between the output environment parameter and the real-time environment parameter to obtain multiple sets of pre-fine-tuned output environment parameters and multiple sets of real-time environment parameters includes: Obtaining a pre-fine-tuning standard, wherein the pre-fine-tuning standard is a standard corresponding to different difference relationships between the output environment parameter and the real-time environment parameter and the number of fine-tuning times and the amplitude of the fine-tuning parameter; Adapting the difference relationship with the difference relationship in the pre-fine-tuning standard to obtain a target fine-tuning number and a target fine-tuning parameter amplitude; Performing multiple fine-tuning on the output environmental parameters according to the target fine-tuning times and the target fine-tuning parameter amplitude, and recording in real time the real-time environmental parameters in the hydrogen-oxygen chamber after each fine-tuning of the output environmental parameters is completed; Integrating the output environment parameters and the output environment parameters after each fine-tuning to obtain multiple sets of output environment parameters after pre-fine-tuning; The real-time environmental parameters and the real-time environmental parameters in the hydrogen and oxygen chamber after each fine-tuning of the output environmental parameters are integrated to obtain multiple sets of real-time environmental parameters.

5. The intelligent micro-high-pressure hydrogen-oxygen chamber control method according to claim 4 is characterized in that: The correcting and analyzing the multiple sets of output environmental parameters and the multiple sets of real-time environmental parameters to obtain corrected output environmental parameters includes: Grouping the multiple groups of output environment parameters and the multiple groups of real-time environment parameters to obtain multiple groups of parameters to be corrected, each group of the multiple groups of parameters to be corrected includes an output environment parameter and a real-time environment parameter corresponding to the fine-tuning of the output environment parameter; Grouping each group of parameters to be corrected in the plurality of groups of parameters to be corrected into groups of two by two according to adjacent time nodes, to obtain a solution parameter group corresponding to each group of abnormal parameters to be corrected; Inputting the output environmental parameter and the actual environmental parameter in the solution parameter group into a preset correction algorithm for calculation respectively to obtain a first correction coefficient and a second correction coefficient; generating a correction coefficient sequence table according to the first correction coefficient and the second correction coefficient, in combination with the output environmental parameter and the actual environmental parameter; The output environmental parameters in the solution parameter group are corrected according to the correction coefficient sequence table to obtain corrected output environmental parameters.

6. The intelligent micro-high-pressure hydrogen-oxygen chamber control method according to claim 5, characterized in that: Correcting the output environmental parameters in the solution parameter group according to the correction coefficient sequence table to obtain the corrected output environmental parameters includes: Calculating the parameter difference between the output environmental parameter and the actual environmental parameter in each row of parameter data in the correction coefficient sequence table to obtain the parameter difference corresponding to each row of parameter data in the correction coefficient sequence table; Determining whether the parameter difference is an abnormal mutation difference; if so, removing the parameter data corresponding to the parameter difference, and calculating the mean of the remaining first correction coefficients and the mean of the remaining second correction coefficients in the correction coefficient sequence to obtain a first representative correction coefficient and a second representative correction coefficient; The environmental parameters of the environmental control scheme, the first representative correction coefficient, and the second representative correction coefficient are input into a preset correction algorithm for calculation to obtain corrected output environmental parameters.

7. The intelligent micro-high-pressure hydrogen-oxygen chamber control method according to claim 3 is characterized in that: The step of determining whether the total number of abnormal output records is greater than a preset number further includes: If the total number of abnormal output records is greater than a preset number, hydrogen and oxygen chamber maintenance information is generated and sent to the target device.

8. An intelligent micro-high-pressure hydrogen and oxygen chamber control system, characterized in that: include: The information acquisition module is used to obtain user login information when detecting that the user has entered the micro-high-pressure hydrogen and oxygen chamber; a parameter testing module, configured to verify whether the user login information is that of an initial application user; if so, to collect the user's physical parameter information, to construct a virtual character model of the user based on the physical parameter information, and to perform a micro-high-pressure hydrogen-oxygen test on the user according to a first preset time period to obtain baseline physical dynamic parameters of the user under different environmental parameters in the micro-high-pressure hydrogen-oxygen chamber; a digital-analog combining module, configured to combine the reference body dynamic parameters and the environmental parameters with the virtual character model to obtain a character data model; A parameter sorting module is used to determine the optimal environmental parameters applicable to the user at different time nodes based on the character data model, and sort the optimal environmental parameters according to the time node sequence to obtain an environmental parameter set; A scheme generation module is used to generate an environmental control scheme based on the environmental parameter set and control the micro-high-pressure hydrogen and oxygen chamber to perform operation output.

9. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute an intelligent micro-hyperbaric hydrogen-oxygen chamber control method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that include: A computer program is stored which can be loaded by a processor and executes an intelligent micro-high-pressure hydrogen-oxygen chamber control method as described in any one of claims 1-7.

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