Intelligent oxygen supply system and method based on environment and personnel state perception

Abstract

The application relates to an intelligent oxygen supply system and method based on environment and personnel state sensing, and belongs to the technical field of environment control and health management, and comprises the following: a sensing layer is used for collecting environment parameters and personnel state data in a controlled space in real time; an analysis layer is internally provided with an intelligent decision model, is used for fusing and analyzing the data collected by the sensing layer, and generates partition oxygen supply control instructions and health intervention instructions; and an execution layer comprises a partition oxygen supply network and a control unit, which are used for independently adjusting the oxygen output rate and concentration of each oxygen supply area according to the control instructions issued by the analysis layer; the application has the beneficial effect that the partition differentiated control of the "global reference + local priority" is utilized, the overall environment can be maintained, and the oxygen supply can be performed on the area where the high-oxygen-demanding individual is located.

Description

Technical Field

[0001] This invention belongs to the field of environmental control and health management technology, and specifically relates to an intelligent oxygen supply system and method based on environmental and personnel status perception. Background Technology

[0002] In the special environments of high-altitude areas, underground mines, large enclosed buildings, or submarines, insufficient ambient oxygen concentration is a critical issue affecting personnel health, safety, and work efficiency. To ensure the normal breathing and physiological functions of personnel inside, an oxygen supply system is typically required.

[0003] Currently, existing oxygen supply methods fall into two categories: one is continuous oxygen supply using a fixed flow rate; the other is on / off control based on a simple threshold (e.g., ambient oxygen concentration below 19.5%). However, existing technologies have the following significant drawbacks and shortcomings in application:

[0004] The oxygen supply method is crude and inefficient: Traditional systems cannot accurately supply oxygen based on the actual number of people and the intensity of their activities in the space in real time, which can easily lead to serious waste of oxygen resources or insufficient supply when the number of people increases or activities intensify.

[0005] Lack of personalized care and precise response: The system cannot identify the sudden, high oxygen demand of specific individuals (such as those engaged in high-intensity physical labor) and cannot provide targeted oxygen supply support, posing health and safety risks.

[0006] Delayed control response: Existing systems typically only passively activate oxygen supply when the ambient oxygen concentration has dropped below the safety threshold, lacking trend-based predictive capabilities and failing to intervene in advance, which may result in personnel already experiencing hypoxia.

[0007] Uniform oxygen supply in space: The inability to distinguish the differences in personnel density and status in different areas of the space leads to the adoption of a uniform oxygen supply strategy, resulting in resource misallocation.

[0008] Fragmented health management functions: Existing systems only focus on regulating environmental physical parameters, lacking monitoring and analysis of individual physiological indicators and proactive guidance on health behaviors, thus failing to form a complete health management closed loop of "monitoring-regulation-recommendation". Summary of the Invention

[0009] This invention provides an intelligent oxygen supply system and method based on environmental and personnel status perception, which is used to solve the problem of automatic oxygen supply technology with on-demand allocation and active optimization. The control strategy of the analysis layer of this invention utilizes the "global benchmark + local priority" partitioned differential control, which can not only maintain the overall environment, but also supply oxygen to the areas where identified individuals with high oxygen demand are located.

[0010] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0011] An intelligent oxygen supply system based on environmental and personnel status perception includes:

[0012] The perception layer is used to collect environmental parameters and personnel status data in the controlled space in real time. The environmental parameters include oxygen concentration and carbon dioxide concentration. The personnel status data includes the real-time location, physiological parameters, and movement status of the personnel.

[0013] The analysis layer has a built-in intelligent decision-making model, which is used to integrate and analyze the data collected by the perception layer and generate zoned oxygen supply control instructions and health intervention instructions.

[0014] The execution layer, including the zoned oxygen supply network and control unit, is used to independently adjust the oxygen output rate and concentration of each oxygen supply zone according to the control commands issued by the analysis layer.

[0015] Optional, the perception layer includes:

[0016] The environmental sensing module consists of oxygen concentration sensors, carbon dioxide concentration sensors, and temperature and humidity sensors distributed in various oxygen supply areas.

[0017] The personnel sensing module includes wearable devices for collecting individual blood oxygen saturation, heart rate, and exercise status, as well as a personnel statistics unit for obtaining the real-time total number of people and their distribution locations within the space.

[0018] Optionally, the intelligent decision-making models in the analysis layer include:

[0019] The basic oxygen demand calculation model is used to calculate the total amount of oxygen required to maintain a basic safe oxygen concentration based on space volume, real-time number of people and average activity level.

[0020] A personalized health identification model is used to determine whether an individual is in a state of high oxygen demand or sub-health when a decrease in blood oxygen saturation or an abnormal increase in heart rate is detected, and to locate the individual's position.

[0021] In addition, predictive regulation models are used to predict population oxygen demand trends for specific periods or events based on historical data.

[0022] Optionally, the execution layer's zoned oxygen supply network divides the controlled space into multiple independent and controllable oxygen supply zones, each zone having an independent oxygen supply terminal and flow regulating valve.

[0023] The control unit receives instructions from the analysis layer and independently controls the output of oxygen supply terminals in each area.

[0024] A smart oxygen supply method based on environmental and personnel status perception includes the following steps:

[0025] Step S1: Real-time collection of ambient oxygen concentration, carbon dioxide concentration, total number of people in the space, location of each person, and physiological parameters through the sensing layer;

[0026] Step S2: The analysis layer performs fusion analysis on the collected data to determine whether the current overall environmental oxygen concentration is within the preset optimization range, whether there are any abnormalities in individual physiological indicators, and whether the trends in personnel density and carbon dioxide concentration indicate that oxygen demand will rise rapidly.

[0027] Step S3: The execution layer executes differentiated control strategies based on the analysis results. These control strategies include:

[0028] Normal maintenance mode: When the environment and personnel conditions are stable, the oxygen concentration in each area is controlled to remain within the preset optimization range;

[0029] Local enhancement mode: When a high-oxygen-demand individual is identified in a specific area, the oxygen supply to that area is increased, making its oxygen concentration higher than that of other areas;

[0030] Enhanced overall oxygen supply mode: When a significant increase in overall oxygen demand is predicted or detected, the oxygen supply level of the entire region is increased in advance.

[0031] Safety Emergency Mode: When the ambient oxygen concentration is below the safety threshold or an individual health alarm persists, the system will trigger maximum power oxygen supply across the entire area and issue an alarm.

[0032] Optionally, in step S2, when the analysis layer performs fusion analysis on the data collected by the perception layer, the edge computing gateway is used to prioritize the processing of key instructions and maintain basic oxygen supply operation when the network is interrupted.

[0033] Physiological data of individuals were anonymized and then used for population model analysis.

[0034] Optionally, step S2 also includes a health intervention step, which triggers a four-level progressive intervention process when the system determines that an individual is in a persistent sub-healthy state:

[0035] Level 1, Environmental Regulation: Automatically activates local enhancement mode to optimize the oxygen supply, heating, or ventilation of the microenvironment in which the individual is located;

[0036] The second level is personalized guidance: targeted health advice is generated through a health knowledge base and pushed to the individual's interactive terminal;

[0037] Level 3, Group Insight: When a decline in group physiological indicators is detected, a group health report and work arrangement optimization suggestions are pushed to the manager;

[0038] Level 4, Emergency Response: Upon detecting an emergency health event, while simultaneously supplying oxygen at maximum power and triggering an alarm, an alert containing location and data is automatically sent to a pre-set safety or medical contact.

[0039] Furthermore, the health knowledge base has a built-in or cloud-connected medical and health management rule base, which includes potential health risks, recommended interventions, and behavioral suggestions corresponding to abnormal physiological indicators.

[0040] Interactive terminals include workstation displays, smart bracelets, smartphone apps, or smart voice broadcasting devices.

[0041] Furthermore, a personalized health identification model is used to monitor the individual's blood oxygen saturation change trend in real time. When the blood oxygen saturation is continuously lower than the individual's personal baseline value within a preset time, the individual is determined to be in a state of high oxygen demand or sub-health.

[0042] Optionally, in step S2, the preset optimization range is an oxygen concentration range of 21% to 22%.

[0043] In step S3, the local enhancement mode is to increase the oxygen concentration in the area where the high-aerobic individual is located to 23% to 24%; the safety threshold is an oxygen concentration of 19.5%.

[0044] The beneficial effects of this invention are:

[0045] 1. The sensing layer of this invention integrates three types of heterogeneous data: ambient oxygen concentration, number / distribution of people, and individual real-time physiological parameters (blood oxygen, heart rate, exercise status) as the basis for oxygen supply control decisions, breaking through the limitation of relying solely on a single environmental parameter.

[0046] 2. The control strategy of the analysis layer of this invention is to propose a "global benchmark + local priority" zone-differentiated control strategy, which can not only maintain the overall environment, but also provide key oxygen supply to the areas where identified high oxygen demand individuals are located, so as to achieve precise resource allocation.

[0047] 3. The health management model of the health intervention layer of this invention constructs a closed loop of health intervention consisting of "monitoring-early warning-environmental regulation-behavioral suggestions", upgrading the intelligent oxygen supply system from an environmental regulation tool to a proactive health management platform, and realizing comprehensive and proactive care for users' health.

[0048] 4. The perception layer of this invention constructs a complete closed-loop system integrating "wearable device perception of individual status - AI model analysis and decision-making - zoned oxygen supply network execution - multi-terminal health guidance", realizing intelligent and automated processes from perception to intervention.

[0049] 5. The predictive regulation model of the present invention includes predictive intervention (e.g., prediction based on CO2 and population) and emergency response, and adds a proactive health guidance process, forming a multi-level, proactive oxygen supply and health management method of "routine optimization, dynamic response, health guidance and safety net". Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a diagram showing the overall architecture of the intelligent oxygen supply system of the present invention;

[0052] Figure 2 This is a schematic diagram of the deployment of the system of the present invention in a confined space;

[0053] Figure 3 This is a flowchart illustrating the operation of the intelligent oxygen supply system of the present invention. Detailed Implementation

[0054] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0055] Example 1

[0056] like Figure 1 As shown, this embodiment provides an intelligent oxygen supply system based on environmental and personnel status perception, used to construct a closed-loop control architecture of "perception-analysis-execution", including:

[0057] The perception layer is used to collect environmental and personnel data. The perception layer has the following characteristics:

[0058] Environmental sensing module: including oxygen concentration sensors, carbon dioxide concentration sensors, and temperature and humidity sensors distributed in the controlled space.

[0059] Personnel sensing module: Wearable devices (such as smart bracelets) are used to monitor the wearer's individual physiological parameters, including but not limited to blood oxygen saturation (SpO2), heart rate, and exercise status;

[0060] The personnel statistics unit is used to obtain the real-time total number of people and their distribution locations within the space. This can be achieved through personnel positioning systems, access control systems, video recognition, or infrared sensing.

[0061] An analytics layer, used to process data and generate control decisions, includes an edge computing gateway or cloud server that receives and integrates data from the perception layer. It incorporates a built-in intelligent decision-making model, including:

[0062] Basic oxygen demand calculation model: Based on the space volume, real-time number of people and average activity level, calculate the total amount of oxygen required to maintain a basic safe oxygen concentration.

[0063] Personalized health identification model: When a specific individual's blood oxygen saturation decreases or heart rate increases abnormally, the model determines that the individual is in a state of high oxygen demand or sub-health and locates their position.

[0064] Predictive regulation model: Based on historical data, predict the trend of group oxygen demand under specific time periods or events (such as meetings, group work).

[0065] An execution layer for performing oxygen supply regulation, the execution layer having:

[0066] Zoned oxygen supply network: The controlled space is divided into multiple independent and controllable oxygen supply zones, each zone is equipped with an independent oxygen supply terminal (e.g., diffuse oxygen outlet) and flow regulating valve.

[0067] The control unit receives instructions from the analysis layer and independently controls the oxygen output rate and concentration of each area's oxygen supply terminal.

[0068] To improve the system's built-in framework, an "intervention" step is added to the above structure, constructing the intelligent oxygen supply system as a closed-loop control architecture of "sensing-analysis-execution-intervention." A health intervention layer is added to the system to provide proactive health guidance, and this layer includes:

[0069] Health Knowledge Base: A built-in or cloud-connected medical and health management rule base that includes potential health risks, recommended interventions, and behavioral suggestions corresponding to abnormal physiological indicators.

[0070] Multimodal interactive terminals: user terminals that are connected to the system, such as workstation displays, smart bracelets, smartphone apps, and smart voice broadcasting devices in public areas.

[0071] Example 2

[0072] Based on Example 1, such as Figure 3 As shown, this embodiment provides an intelligent oxygen supply method based on environmental and personnel status perception, including the following steps:

[0073] Step S1: Real-time and continuous collection of ambient oxygen concentration, carbon dioxide concentration, total number of people in the space, location of each person and physiological parameters through the sensing layer;

[0074] Step S2: The analysis layer performs fusion analysis on the collected data:

[0075] a. Determine whether the current overall ambient oxygen concentration is within the preset optimization range (e.g., 21%-22%).

[0076] b. Determine if any individual exhibits abnormal physiological indicators that suggest hypoxia or sub-health;

[0077] c. Determine whether the trends in population density and carbon dioxide concentration indicate a rapid increase in oxygen demand;

[0078] Step S3: The execution layer implements differentiated control strategies based on the analysis results.

[0079] Normal maintenance mode: If the environment and personnel conditions are stable, control the oxygen concentration in each area to maintain within the optimized range.

[0080] Local enhancement mode: If a high-oxygen-demand individual is identified in a specific area, the oxygen supply to that area is increased so that its oxygen concentration is higher than that of other areas (e.g., to 23%-24%).

[0081] Enhanced oxygen supply mode: If a significant increase in overall oxygen demand is predicted or monitored (e.g., a sudden increase in personnel), the oxygen supply level of the entire region will be increased in advance.

[0082] Safety Emergency Mode: If the ambient oxygen concentration is below the safety threshold (e.g., 19.5%) or an individual health alarm persists, the maximum power oxygen supply for the entire area will be triggered and an alarm will be issued.

[0083] In addition, a closed-loop health intervention system is set up within the health intervention layer. When the system determines that an individual is in a persistent sub-healthy state such as hypoxia, it triggers a four-level progressive intervention:

[0084] Level 1 (Environmental Regulation): Automatically activates local enhancement modes, such as oxygen supply, heating, and ventilation, to optimize the microenvironment in which the individual resides.

[0085] Level 2 (Personalized Guidance): Generate targeted health advice (such as "Get up and move around for 5 minutes") through a health knowledge base and push it to the individual's interactive terminal.

[0086] Level 3 (Group Insight): If a decline in group physiological indicators is detected, a group health report and work arrangement optimization suggestions will be sent to the manager.

[0087] Level 4 (Emergency Response): When an emergency health event is detected, the system will automatically send an alert containing location and data to a pre-set safety or medical contact while simultaneously supplying oxygen at maximum power and triggering an alarm.

[0088] In this embodiment, health and safety are achieved through real-time monitoring and proactive intervention to effectively prevent fatigue, health risks, and safety accidents caused by hypoxia, thereby realizing precise care for individual health.

[0089] Proactive health management involves building a closed-loop health intervention system that not only alleviates symptoms but also guides healthy behaviors, fundamentally improving users' health levels and health awareness.

[0090] The efficiency improvement is reflected in the fact that optimized oxygen supply improves the cognitive function of the brain and the speed of physical recovery, thereby improving work efficiency and work quality. Proactive health interventions also help reduce work interruptions caused by health problems.

[0091] Energy-saving economy transforms "continuous high supply" into "distribution on demand," significantly reducing the energy consumption of oxygen production equipment and the cost of oxygen consumption.

[0092] Intelligent foresight and management empowers systems with learning and predictive capabilities, enabling them to evolve from reactive responses to proactive optimization. This provides data insights and decision support based on objective physiological data for environmental and health management.

[0093] Example 3

[0094] Based on Embodiment 1 and Embodiment 2, as Figure 2 As shown, the intelligent oxygen supply system for a high-altitude office workshop is an intelligent oxygen supply system based on environmental and personnel status perception deployed in a high-altitude workshop with a volume of 5000m³.

[0095] Deployment: The workshop is divided into three oxygen supply areas: A (assembly area), B (testing area), and C (rest area). Each area is equipped with an oxygen / carbon dioxide sensor network, employees wear smart wristbands, and visual counting devices are installed at the entrance. Each employee's workstation computer and mobile phone have a health assistant APP that is linked to the system installed.

[0096] The operating method is:

[0097] In the morning, staff were on duty, activities were slow, and the system operated in normal mode, maintaining the oxygen concentration in each area at 21.5%.

[0098] In the afternoon, some employees in Zone A were moving equipment (a high-intensity activity), and their wristbands showed an increased heart rate and a decreasing blood oxygen trend. The analysis layer recognized this state, and the instruction execution layer increased the oxygen concentration in Zone A to 23.5% (local enhancement mode), while Zones B and C remained unchanged.

[0099] - As the workday was drawing to a close, all employees held a meeting in Zone C, causing a rapid increase in personnel density and CO2 concentration. The system predicted the increased oxygen demand and proactively raised the oxygen concentration in Zone C to 22.5% (full-area enhancement mode) to prevent attendees from becoming drowsy.

[0100] An example of health intervention is as follows: Employee A worked at their desk for an extended period in the afternoon, and the system detected that their blood oxygen saturation remained below their baseline value for one hour. The system first slightly increased the background oxygen concentration in their workspace (zone B). Simultaneously, based on a health knowledge base match, a notification was sent to their workstation screen, smart bracelet, and mobile app: "We have detected that you may be experiencing oxygen deficiency fatigue."

[0101] The recommendations were: 1. Stop the activity for two minutes; 2. Take five deep breaths; 3. Drink some water. After following the recommendations, Employee A's physiological indicators gradually returned to normal.

[0102] In an emergency scenario, if the oxygen concentration drops to 19.3% at a certain location, the system will immediately trigger an audible and visual alarm and activate the safety emergency mode, supplying oxygen at maximum flow rate throughout the area until the concentration returns to a safe level.

[0103] Regarding data privacy and reliability, employee health data is anonymized before being used for group model analysis, and individual early warning information is only visible to the individual and the security administrator. The system is equipped with redundant sensors and backup power supplies, and critical commands are prioritized using local edge computing to ensure basic operation during network outages.

[0104] Example 4

[0105] Based on Embodiments 1 and 2, this embodiment provides an enhanced closed-loop health intervention embodiment: Building upon Embodiment 1, the system integrates a more comprehensive health intervention layer. When the system determines that an individual is in a persistent sub-healthy state through a personalized health identification model, for example, if an employee's blood oxygen saturation is more than 5% below the system's set personal baseline value for 30 consecutive minutes during non-high-intensity work periods, a four-level progressive intervention process will be triggered, as described above. This embodiment is suitable for enterprises, research institutions, or special workplaces with high requirements for employee health management.

[0106] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope described in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An intelligent oxygen supply system based on environmental and personnel status perception, characterized in that, include: The perception layer is used to collect environmental parameters and personnel status data in the controlled space in real time; wherein, the environmental parameters include oxygen concentration and carbon dioxide concentration; and the personnel status data includes the real-time location, physiological parameters, and movement status of the personnel. The analysis layer has a built-in intelligent decision-making model, which is used to integrate and analyze the data collected by the perception layer and generate zoned oxygen supply control instructions and health intervention instructions. The execution layer includes a zoned oxygen supply network and a control unit, which is used to independently adjust the oxygen output rate and concentration of each oxygen supply zone according to the control commands issued by the analysis layer.

2. The intelligent oxygen supply system based on environmental and personnel status perception according to claim 1, characterized in that, The perception layer includes: The environmental sensing module consists of oxygen concentration sensors, carbon dioxide concentration sensors, and temperature and humidity sensors distributed in various oxygen supply areas. The personnel sensing module includes wearable devices for collecting individual blood oxygen saturation, heart rate, and exercise status, as well as a personnel statistics unit for obtaining the real-time total number of people and their distribution locations within the space.

3. The intelligent oxygen supply system based on environmental and personnel status perception according to claim 1, characterized in that, The intelligent decision-making model in the analysis layer includes: The basic oxygen demand calculation model is used to calculate the total amount of oxygen required to maintain a basic safe oxygen concentration based on space volume, real-time number of people and average activity level. A personalized health identification model is used to determine whether an individual is in a state of high oxygen demand or sub-health when a decrease in blood oxygen saturation or an abnormal increase in heart rate is detected, and to locate the individual's position. In addition, predictive regulation models are used to predict population oxygen demand trends for specific periods or events based on historical data.

4. The intelligent oxygen supply system based on environmental and personnel status perception according to claim 1, characterized in that, The partitioned oxygen supply network of the execution layer divides the controlled space into multiple independent and controllable oxygen supply zones, each zone having an independent oxygen supply terminal and flow regulating valve. The control unit receives instructions from the analysis layer and independently controls the output of oxygen supply terminals in each area.

5. A smart oxygen supply method based on environmental and personnel status perception, used to execute a smart oxygen supply system based on environmental and personnel status perception according to any one of claims 1-4, characterized in that, Includes the following steps: Step S1: Real-time collection of ambient oxygen concentration, carbon dioxide concentration, total number of people in the space, location of each person, and physiological parameters through the sensing layer; Step S2: The analysis layer performs fusion analysis on the collected data to determine whether the current overall environmental oxygen concentration is within the preset optimization range, whether there are any abnormalities in individual physiological indicators, and whether the trends in personnel density and carbon dioxide concentration indicate that oxygen demand will rise rapidly. Step S3: The execution layer executes a differentiated control strategy based on the analysis results. The control strategy includes: Normal maintenance mode: When the environment and personnel conditions are stable, the oxygen concentration in each area is controlled to remain within the preset optimization range; Local enhancement mode: When a high-oxygen-demand individual is identified in a specific area, the oxygen supply to that area is increased, making its oxygen concentration higher than that of other areas; Enhanced overall oxygen supply mode: When a significant increase in overall oxygen demand is predicted or detected, the oxygen supply level of the entire region is increased in advance. Safety Emergency Mode: When the ambient oxygen concentration is below the safety threshold or an individual health alarm persists, the system will trigger maximum power oxygen supply across the entire area and issue an alarm.

6. The intelligent oxygen supply method based on environmental and personnel status perception according to claim 5, characterized in that, In step S2, when the analysis layer performs fusion analysis on the data collected by the perception layer, it uses an edge computing gateway to prioritize the processing of critical instructions and maintain basic oxygen supply operation when the network is interrupted. Physiological data of individuals were anonymized and then used for population model analysis.

7. The intelligent oxygen supply method based on environmental and personnel status perception according to claim 5, characterized in that, Step S2 also includes a health intervention step, whereby a four-level progressive intervention process is triggered when the system determines that an individual is in a persistent sub-healthy state: Level 1, Environmental Regulation: Automatically activates local enhancement mode to optimize the oxygen supply, heating, or ventilation of the microenvironment in which the individual is located; The second level is personalized guidance: targeted health advice is generated through a health knowledge base and pushed to the individual's interactive terminal; Level 3, Group Insight: When a decline in group physiological indicators is detected, a group health report and work arrangement optimization suggestions are pushed to the manager; Level 4, Emergency Response: Upon detecting an emergency health event, while simultaneously supplying oxygen at maximum power and triggering an alarm, an alert containing location and data is automatically sent to a pre-set safety or medical contact.

8. The intelligent oxygen supply method based on environmental and personnel status perception according to claim 7, characterized in that, The health knowledge base is built into or connected to a medical and health management rule base, which includes potential health risks, recommended interventions and behavioral suggestions corresponding to abnormal physiological indicators. The interactive terminal includes a workstation display screen, a smart bracelet, a smartphone APP, or a smart voice broadcasting device.

9. The intelligent oxygen supply method based on environmental and personnel status perception according to claim 7, characterized in that, A personalized health identification model is used to monitor the individual's blood oxygen saturation changes in real time. When the blood oxygen saturation remains below the individual's baseline value for a preset period of time, the individual is determined to be in a state of high oxygen demand or sub-health.

10. The intelligent oxygen supply method based on environmental and personnel status perception according to claim 5, characterized in that, In step S2, the preset optimization range is an oxygen concentration range of 21% to 22%. In step S3, the local enhancement mode is that the oxygen concentration in the area where the high-aerobic individual is located is increased to 23% to 24%; the safety threshold is an oxygen concentration of 19.5%.

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