Method for adjusting pressure in medical care cabin based on intelligent sensor
By using intelligent sensors to monitor and dynamically adjust the environment inside the medical and nursing cabin, the problem of scarce resources in the cabin is solved, efficient utilization and personalized treatment are achieved, and the health and work efficiency of patients with altitude sickness are ensured.
Patent Information
- Application Number
- CN202511047994.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-29
- Publication Date
- 2025-10-14
AI Technical Summary
Existing medical and nursing cabins cannot be used efficiently due to the scarcity of resources in plateau areas, resulting in patients with altitude sickness being unable to receive timely treatment, and traditional control methods have resource occupation problems.
Through smart sensors, the personnel's body data is monitored in real time, the environmental adaptation coefficient is calculated, the oxygen concentration and air pressure in the medical cabin are dynamically adjusted, personalized adjustment strategies are formulated according to physical differences, and resources are allocated rationally.
It improves the resource utilization rate of the medical and nursing cabin, ensures the health and work efficiency of personnel, avoids waste of resources, provides personalized treatment plans, and ensures life safety.
Smart Images
Figure CN120771031A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of intelligent sensing elements, in particular to a medical care cabin in-cabin pressure regulation method based on an intelligent sensor. BACKGROUND
[0002] In high-altitude areas, the "three-low environment" of low oxygen, low pressure and low temperature is a major scientific and technological and livelihood problem that needs to be overcome. Personnel entering the plateau for the first time often experience symptoms of acute altitude sickness such as rapid heartbeat, shortness of breath, headache, dizziness, nausea and vomiting within a few hours due to a sharp drop in atmospheric oxygen content, a sharp drop in air pressure, and a sharp change in day and night temperature. In severe cases, it may even cause life-threatening complications such as high-altitude pulmonary edema and brain edema. These physiological stress reactions not only seriously affect the health and safety of workers, but also lead to decreased cognitive function and physical endurance, resulting in reduced work efficiency, posing a serious challenge to the implementation of major strategic tasks such as infrastructure construction, resource exploration and development, and national security in high-altitude areas.
[0003] In the prior art, in order to deal with the altitude sickness of personnel moving from low-altitude areas to high-altitude areas, high-altitude intelligent medical care cabins are currently widely used to provide personnel with a space to adapt to the high-altitude environment. However, the existing medical care cabins still use the control method of traditional high-altitude oxygen supply equipment, which has a resource occupation phenomenon in actual use. Due to the limited number and sparse distribution of medical care cabins in high-altitude areas, this occupation phenomenon may result in the inability of patients with acute altitude sickness to obtain medical care cabin resources in a timely manner. SUMMARY
[0004] The purpose of the present application is to provide a medical care cabin in-cabin pressure regulation method based on an intelligent sensor to solve the above technical problems.
[0005] The purpose of the present application can be achieved by the following technical solutions: A medical care cabin in-cabin pressure regulation method based on an intelligent sensor, comprising the following steps: S1: Obtain the body data of personnel in their original residence, the body data including heart rate X, blood pressure Y and respiratory rate Z, calculate the mean X ave , Y ave , Z ave and standard deviation of each body data, and set the threshold value of each body data equal to the sum of the mean and the standard deviation; S2: Real-time monitoring of personnel's body data, start timing when there is body data exceeding the corresponding threshold value, if the body data is still greater than the corresponding threshold value after the timing duration exceeds the preset buffer time T, it is judged that the personnel has altitude sickness, and the personnel is prompted to enter the medical care cabin; S3: record the environmental data of the original residence as original values, the environmental data including oxygen concentration O and equivalent air pressure Pa, and adjust the environmental data in the medical care cabin to the original values; obtain the time t consumed by the body data of the person after entering the medical care cabin to decrease to within the corresponding threshold value, and calculate the environmental adaptation coefficient A of the person , wherein X now , Y now , and Z now respectively represent the heart rate, blood pressure, and respiratory rate of the current person, and λ1, λ2, and λ3 respectively represent preset first, second, and third coefficients; S4: calculate the adjustment time XT based on the environmental adaptation coefficient A, and divide the adjustment time XT into adjustment sub-times, wherein represents the upward rounding of the environmental adaptation coefficient A, and after each adjustment sub-time, the oxygen concentration and the equivalent air pressure in the medical care cabin are respectively decreased by and , wherein O now represents the oxygen concentration of the current region, and Pa now represents the equivalent air pressure of the current region.
[0006] As a further scheme of the present application, in the step S1, when the person moves from a high-altitude region to a low-altitude region, the subsequent calculation is stopped.
[0007] As a further scheme of the present application, in the step S2, if all the body data decrease to within the corresponding threshold value within the buffer time T, it is judged that the altitude reaction of the person is released.
[0008] As a further scheme of the present application, in the step S3, the mean values of the environmental data of the original residence are taken as the original values.
[0009] As a further scheme of the present application, in the step S3, the threshold values X max , Y max , and Z max of the body data are obtained, X now -X max , Y now -Y max , and Z now -Z max are calculated, the body data less than 0 are screened out and recorded as normal data, and the sub-items corresponding to the normal data are excluded and do not participate in the calculation of the environmental adaptation coefficient A.
[0010] As a further scheme of the present application, in the step S4, the method for calculating the adjustment time XT based on the environmental adaptation coefficient A includes: Obtaining the single use duration of the medical care cabin and calculating the mean value thereof, the mean value of the single use duration is recorded as the reference duration JT, and the mean value A of the environmental adaptation coefficient of each use personnel is calculated ave , the adjustment time is calculated , wherein the mean value A of the environmental adaptation coefficient ave does not contain this data.
[0011] As a further scheme of the present application, comprising: Pre-setting an observation time Tc, after each adjustment sub-time, the medical care cabin enters the observation time, obtaining whether there is a case that the body data is greater than the corresponding threshold value in the observation time, if there is, the oxygen concentration and the equivalent air pressure in the medical care cabin are respectively increased and ; If not, continue to adjust the environmental data of the medical care cabin.
[0012] As a further scheme of the present application: the observation time Tc≤XT / 10 The beneficial effects of the present application are: first, according to the body data of the personnel in the original residence as the standard, the normal body data range of the personnel is calculated, and the threshold value of each body data is set. In the subsequent real-time monitoring process of the body data of the personnel, if the body data exceeds the corresponding threshold value, it can be preliminarily judged that the personnel is affected by the change of altitude. The change of altitude will seriously affect the health of the personnel and will also lead to a significant decline in work efficiency. However, it should be noted that not all personnel need to enter the medical care cabin immediately. For some personnel with strong physical fitness, their own physical fitness is enough to cope with the high altitude reaction caused by the change of altitude. Therefore, for various reasons, if a certain personnel only has a high altitude reaction for a short time, it is not necessary to enter the medical care cabin. This can leave the medical care cabin for people who need it more, thereby improving the resource utilization rate and saving the resource utilization rate.
[0013] When the personnel enter the medical care cabin, in order to make the personnel quickly get rid of the adverse effects of high altitude reaction, the environmental data in the medical care cabin needs to be set according to the environmental data of the original residence of the personnel. The purpose of this is to make the user get rid of the high altitude reaction as soon as possible. Some personnel have serious high altitude reaction, so at this time the most important thing is to ensure the safety of the personnel. Wait until the personnel's condition improves to adjust the environment in the medical care cabin.
[0014] Then the time consumed by the personnel entering the medical care cabin and the body data recovering to normal is obtained, and according to the time, the physical strength of the personnel can be preliminarily judged, the shorter the time, the stronger the physical strength of the personnel, and the subsequent adjustment of the pressure in the medical care cabin can be more frequent, on the contrary, the longer the time, the weaker the physical strength of the personnel, and therefore the subsequent adjustment of the pressure in the medical care cabin needs to be slowed down to ensure that the personnel can adapt.
[0015] It should be noted that the time judgment alone is not accurate, and further judgment needs to be made according to the strength of the change of the body data of the personnel, normally, the stronger the physical strength of the personnel, the stronger the resistance of the corresponding body data to external environmental factors, therefore, as can be seen from the formula for calculating the environmental adaptation coefficient, the higher the heart rate, blood pressure and respiratory rate of the current personnel, the lower the environmental adaptation coefficient calculated, and the longer the time required for the above recovery as the base of the logarithm, the lower the environmental adaptation coefficient calculated, which conforms to the above judgment.
[0016] Finally, the adjustment time needs to be calculated according to the environmental adaptation coefficient, which is used to regulate the total time of the personnel staying in the medical care cabin, because the number of medical care cabins is limited, therefore, reasonable allocation of resources is required to maximize its utilization, the adjustment time here follows the principle that the larger the environmental adaptation coefficient, the smaller the corresponding adjustment time, and then the adjustment time is divided into several adjustment sub-times, and after each adjustment sub-time, the oxygen concentration and equivalent air pressure in the medical care cabin are reduced by corresponding values, so that the pressure value in the medical care cabin is gradually adjusted to make the personnel gradually adapt to the high altitude environment, thereby significantly relieving the high altitude reaction and ensuring the health and work efficiency of the personnel. BRIEF DESCRIPTION OF DRAWINGS
[0017] The application will be further described below in conjunction with the drawings.
[0018] Figure 1 It is a flowchart of a medical care cabin pressure regulation method based on an intelligent sensor. DETAILED DESCRIPTION
[0019] The technical solutions in the embodiments of the application will be clearly and completely described below in conjunction with the drawings of the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application.
[0020] Please refer to Figure 1As shown, the present application is a medical and nursing cabin pressure regulation method based on intelligent sensors, comprising the following steps: S1: Obtain the body data of the personnel in the original residence, the body data including heart rate X, blood pressure Y and respiratory rate Z, respectively calculate the mean value X ave , Y ave , Z ave and standard deviation of each body data, and let the threshold value of each body data equal to the sum of the mean value and the standard deviation; S2: Real-time monitor the body data of the personnel, start timing when the body data exceeds the corresponding threshold value, if the body data is still greater than the corresponding threshold value after the timing duration exceeds the preset buffer time T, it is judged that the personnel has altitude sickness, and the personnel is prompted to enter the medical and nursing cabin; S3: Record the environmental data of the original residence as the original value, the environmental data including oxygen concentration O and equivalent air pressure Pa, and adjust the environmental data in the medical and nursing cabin to the original value; Obtain the time t consumed by the body data of the personnel after entering the medical and nursing cabin to reduce to within the corresponding threshold value, calculate the environmental adaptation coefficient A of the personnel , wherein X now , Y now , Z now represent the current personnel's heart rate, blood pressure and respiratory rate respectively, and λ1, λ2, λ3 represent the first, second and third preset coefficients respectively; S4: Calculate the adjustment time XT based on the environmental adaptation coefficient A, divide the adjustment time XT into adjustment sub-time, wherein represents the upward rounding of the environmental adaptation coefficient A, and every time an adjustment sub-time passes, the oxygen concentration and the equivalent air pressure in the medical and nursing cabin are reduced by and respectively, wherein O now represents the oxygen concentration of the current area, and Pa now represents the equivalent air pressure of the current area.
[0021] It should be noted that first, the body data of the personnel in the original residence is needed as a standard reference. These data are measured under the condition that the personnel has long adapted to the environment of the original residence, and can accurately reflect the normal physiological state of the personnel in a relatively stable environment. By collecting a large amount of body data, the normal body data range of the personnel can be calculated, and the threshold value of each body data can be further set, which is an important limit to judge whether the body state of the personnel is abnormal.
[0022] In the subsequent real-time monitoring of the personnel's body data, if it is found that the body data exceeds the corresponding threshold, it can be preliminarily judged that the personnel is affected by the change in altitude. As the altitude increases, the oxygen content in the air gradually decreases, which will cause the human body to have hypoxia symptoms, and then trigger a series of physiological reactions. However, it needs to be noted that not all personnel who have altitude sickness need to enter the medical and nursing cabin for treatment and recuperation immediately. This is because there are differences in the physical fitness of different personnel. For some personnel with strong physical fitness, their own physical fitness is enough to cope with the altitude reaction caused by the change in altitude.
[0023] If a certain personnel only has altitude sickness for a short time and the symptoms are relatively mild, it does not pose a serious threat to the body's health, so there is no need to enter the medical and nursing cabin. This has important significance in many aspects. On the one hand, it can leave limited medical and nursing cabin resources to those who really need them. On the other hand, it can also avoid unnecessary waste of medical resources and save medical costs, so that resources can be more reasonably and optimally allocated.
[0024] When personnel enter the medical and nursing cabin due to altitude sickness, in order to help them quickly get rid of the adverse effects of altitude sickness, targeted environmental control measures need to be taken immediately. According to the environmental data of the personnel's original residence as a benchmark, the environmental parameters in the medical and nursing cabin are set. It is worth noting that the core goal of the medical and nursing cabin at this time should be to prioritize the safety of personnel's life, rather than simply pursuing the precise matching of environmental parameters. After the personnel's vital signs are stable and their condition improves significantly, the environmental parameters in the cabin are gradually adjusted to make them closer to the original living environment or optimized according to the rehabilitation needs. In addition, attention should be paid to transitional adjustment during the environmental setting process. When personnel enter the medical and nursing cabin due to altitude sickness, the medical system will continuously monitor their body data and record the time consumed from entering the medical and nursing cabin to the complete recovery of the body data.
[0025] Based on this time data, a differentiated pressure adjustment strategy for the medical and nursing cabin can be developed, and it needs to be noted that the adjustment frequency needs to be controlled within a safe range to avoid new discomfort caused by rapid pressure changes. It is worth noting that recovery time is not the only basis for judgment, but also needs to be combined with multi-dimensional information such as the personnel's age, health status, and length of high-altitude exposure for comprehensive evaluation. Young and healthy personnel may have more adjustment potential than the elderly, even if their recovery time is slightly longer. Therefore, when developing the adjustment strategy, a dynamic adjustment mechanism needs to be established: initially, a fixed frequency is used for exploratory adjustment, and then the adjustment rhythm is flexibly optimized according to the real-time monitoring data feedback effect. At the same time, medical personnel need to communicate with the personnel in the cabin to understand their subjective feelings in a timely manner, and avoid relying solely on data and ignoring individual differences.
[0026] Through this differentiated adjustment strategy based on recovery time, the resource utilization efficiency of the medical care cabin can be significantly improved. Personnel with stronger physical fitness can recover faster and release cabin resources, while those with weaker physical fitness can obtain a safer treatment path through fine adjustment. It should be noted that simply relying on the time for personnel to recover to normal after entering the medical care cabin to judge their physical fitness has some reference value, but it is not comprehensive and accurate enough. In actual evaluation, it is also necessary to combine the intensity of changes in personnel's body data for more in-depth analysis. Generally, the stronger the physical fitness of personnel, the stronger their body's resistance to external environmental factors. This resistance is not only reflected in recovery speed, but also in the stability of physiological indicators when the environment changes.
[0027] When personnel are exposed to high altitude or low oxygen environments, the body will produce a series of stress responses, which are compensatory adjustments made by the body to cope with hypoxia. However, different physical fitness personnel have significant differences in sensitivity and adjustment ability to environmental changes. Personnel with stronger physical fitness can usually adapt to environmental changes more efficiently and recover to normal levels in a short time through self-regulation. Conversely, personnel with weaker physical fitness often have greater fluctuations in physiological indicators, and take longer to recover, and may even trigger more serious altitude sickness due to insufficient compensatory ability.
[0028] In order to more accurately evaluate the physical fitness and environmental adaptation ability of personnel, an environmental adaptation coefficient is introduced as a comprehensive index. Specifically, the higher the current personnel's heart rate, blood pressure and respiratory rate, the more intense the body's stress response to environmental changes, and the weaker the resistance, so the calculated environmental adaptation coefficient will be lower. At the same time, if the recovery time is longer, it means that the body needs longer to recover to normal, which will also lead to a decrease in the environmental adaptation coefficient. This double consideration can more comprehensively reflect the real physical fitness and adaptation ability of personnel, avoiding the limitations of relying solely on recovery time, and can more accurately judge that the environmental adaptation ability of the latter is low, so that more cautious adjustment strategies can be adopted in subsequent treatment.
[0029] In addition, the environmental adaptation coefficient can also provide a basis for personalized adjustment of the medical care cabin. For personnel with a higher environmental adaptation coefficient, the adjustment frequency of cabin pressure and oxygen concentration can be appropriately accelerated; while for personnel with a lower environmental adaptation coefficient, the adjustment pace needs to be slowed down, and the cabin environment needs to be stabilized first, combined with means such as drugs and nutritional support, to gradually improve their adaptation ability. This differentiated adjustment strategy not only improves treatment effectiveness, but also avoids secondary damage caused by improper adjustment. In summary, evaluating the physical fitness and environmental adaptation ability of personnel needs to consider both recovery time and the intensity of changes in body data. This not only helps to improve the resource utilization efficiency of the medical care cabin, but also ensures that each personnel can receive the most suitable treatment and care for their physical condition.
[0030] Finally, the adjustment time of each person needs to be calculated according to the environmental adaptation coefficient. This adjustment time directly determines the total length of time that the personnel stay in the medical care cabin, and is a key parameter for balancing the treatment effect and resource utilization rate. Since the number of medical care cabins is limited, it is necessary to ensure that the treatment time of each person matches their physical fitness and adaptation ability through calculation, so as to avoid waste of resources while ensuring treatment effect. Specifically, the larger the environmental adaptation coefficient, the stronger the physical fitness and the better the adaptation ability of the personnel, and thus the shorter the adjustment time required; on the contrary, the smaller the environmental adaptation coefficient, the weaker the physical fitness or the poorer the adaptation ability of the personnel, and thus the longer the adjustment time required to ensure safety.
[0031] After the adjustment time is determined, it needs to be further divided into several adjustment sub-times, each corresponding to an adjustment step of the environmental parameters. During each adjustment sub-time, the oxygen concentration and equivalent air pressure in the medical care cabin will gradually decrease according to the preset gradient. This phased adjustment method can simulate the process of natural altitude increase, allowing the personnel's body to gradually adapt to environmental changes, thereby significantly alleviating the effects of high altitude. In addition, the division of adjustment time also needs to be dynamically optimized in combination with real-time physiological data of the personnel. If the personnel has abnormal conditions such as rapid heart rate and decreased blood oxygen saturation during a certain adjustment sub-time, the system should automatically extend the current sub-time, or pause the adjustment and maintain the current environmental parameters, and then continue after the indicators return to normal. This intelligent control mechanism can ensure the safety of the treatment process while avoiding individual differences caused by fixed adjustment. For personnel with a low environmental adaptation coefficient, the number of adjustment sub-times can be increased and the adjustment amplitude can be reduced to further reduce the physical burden.
[0032] By subdividing the adjustment time into multiple sub-times and gradually adjusting the environmental parameters, the medical care cabin not only ensures the health and safety of the personnel, but also significantly improves their work efficiency. For example, after treatment, the personnel can recover their physical and mental strength more quickly due to the alleviation of high altitude effects, thereby better completing their work tasks.
[0033] In another preferred embodiment of the present application, when the personnel moves from a high altitude area to a low altitude area, subsequent calculations are stopped.
[0034] Notably, the present application is only applicable to the high altitude effects that occur when moving from a low altitude area to a high altitude area, and does not consider the reverse process. Moreover, the discomfort that occurs when moving from a high altitude area to a low altitude area is relatively low, and extreme cases are not considered.
[0035] In another preferred embodiment of the present application, if all the physiological data decreases to within the corresponding threshold value within the buffer time T, it is determined that the personnel's high altitude effects have been resolved.
[0036] It can be understood that if a person only has high altitude reaction for a short time and the symptoms are relatively mild, which does not pose a serious threat to the health of the body, there is no need to enter the medical care cabin. This has important significance in many aspects. On the one hand, it can leave limited medical care cabin resources to those who really need it, such as those with more serious high altitude reaction, poor physical condition or underlying diseases, to ensure that they can receive timely and effective treatment and care, and improve the utilization of resources. On the other hand, it can also avoid unnecessary waste of medical resources, save medical costs, and make resources more reasonably and optimally allocated, so as to better serve the overall personnel health protection work.
[0037] In another preferred embodiment of the present application, the mean value of the environmental data of the original residence is taken as the original value.
[0038] It should be noted that the environmental data of the original residence is needed as the basis, and the mean value of the environmental data of the original residence will be the key original value. This original value is not only an important basis for simulating familiar environment, but also a starting point for gradually adjusting the environment in the medical care cabin. By setting the initial environmental parameters of the medical care cabin to the mean value of the original residence, the personnel can quickly obtain psychological security after entering the cabin body, and lay a foundation for subsequent progressive adjustment. Taking the mean value of the environmental data of the original residence as the original value is the core basis of the environmental regulation of the medical care cabin.
[0039] In another preferred embodiment of the present application, the threshold value X max , Y max , Z max of each item of body data is obtained now -X max , Y now -Y max , Z now -Z max , the body data less than 0 is screened out and recorded as normal data, and the sub-item corresponding to the normal data is excluded and does not participate in the calculation of the environmental adaptation coefficient A.
[0040] It should be noted that for which normal data, in order to ensure the correctness of the calculation result, it needs to be excluded, which not only ensures the reliability of the calculation result, but also provides a solid foundation for personalized treatment and resource optimization allocation, and finally realizes the dual goals of high altitude reaction relief and efficient use of medical care cabin.
[0041] In another preferred embodiment of the present application, the method for calculating the adjustment time XT based on the environmental adaptation coefficient A comprises: The single use time length of the medical care cabin is obtained and the mean value is calculated, the mean value of the single use time length is recorded as the reference time length JT, and the mean value of the environmental adaptation coefficient of each use personnel A ave, calculate the adjustment time , wherein the average value A of the environmental adaptation coefficient ave The current data is not included.
[0042] It can be understood that the adjustment time of each person is calculated according to the environmental adaptation coefficient. The adjustment time directly determines the total length of time that the personnel stay in the medical care cabin, and is a key parameter for balancing the treatment effect and resource utilization. Since the number of medical care cabins is limited, it is necessary to ensure that the treatment time of each person matches their physical fitness and adaptability through calculation, so as to avoid resource waste while ensuring treatment effect. Specifically, the larger the environmental adaptation coefficient, the stronger the physical fitness and the better the adaptability of the personnel, and therefore the shorter the adjustment time required; on the contrary, the smaller the environmental adaptation coefficient, the weaker the physical fitness or the poorer the adaptability of the personnel, and the longer the adjustment time required to ensure safety.
[0043] In another preferred embodiment of the present application, it comprises: Pre-set observation time Tc, after each adjustment sub-time, the medical care cabin enters the observation time, and whether there is a case that the body data is greater than the corresponding threshold value in the observation time is obtained, if there is, the oxygen concentration and the equivalent air pressure in the medical care cabin are respectively increased and ; If not, continue to adjust the environmental data of the medical care cabin.
[0044] Notably, if the personnel have abnormal conditions such as rapid heart rate and decreased blood oxygen saturation in a certain adjustment sub-time, the system should automatically extend the current sub-time, or pause the adjustment and maintain the current environmental parameters, and then continue after the indicators return to normal. This intelligent control mechanism can ensure the safety of the treatment process, while avoiding the problem of individual differences caused by fixed adjustment. For personnel with low environmental adaptation coefficient, the number of adjustment sub-times can be increased and the adjustment amplitude can be reduced to further reduce the physical burden.
[0045] In another preferred embodiment of the present application, the observation time Tc≤XT / 10.
[0046] The above has described one embodiment of the present application in detail, but the content described is only the preferred embodiment of the present application, and cannot be considered as limiting the scope of the implementation of the present application. Any equivalent changes and improvements made within the scope of the present application shall still belong to the scope of the present application.
Claims
1. A method for regulating the pressure in a medical cabin based on an intelligent sensor, characterized in that: The following steps are involved: S1: Obtain the body data of the person at his original residence, including heart rate X, blood pressure Y and respiratory rate Z, and calculate the mean value X of each body data respectively. ave , Y ave , Z ave and standard deviation, and let the threshold of each body data be equal to the sum of the mean and standard deviation; S2: Real-time monitoring of the personnel's body data. When any body data exceeds the corresponding threshold, the timer starts. If the body data is still greater than the corresponding threshold after the timer exceeds the preset buffer time T, the personnel is judged to have altitude sickness and is prompted to enter the medical cabin; S3: Record the environmental data of the original residence as the original value, wherein the environmental data includes the oxygen concentration O and the equivalent air pressure Pa, and adjust the environmental data in the medical cabin to the original value; Obtain the time t it takes for the body data of the personnel to drop below the corresponding threshold after entering the medical cabin, and calculate the personnel's environmental adaptation coefficient , where X now , Y now , Z now Represent the current person's heart rate, blood pressure and respiratory rate respectively, λ1, λ2, λ3 represent the preset first, second and third coefficients respectively; S4: Calculate the adjustment time XT based on the environmental adaptation coefficient A, and divide the adjustment time XT into The regulator time, It represents the upward rounding of the environmental adaptation coefficient A. After each adjustment sub-time, the oxygen concentration and equivalent air pressure in the medical cabin are reduced by and , where O now Represents the oxygen concentration in the current area, Pa now Represents the equivalent air pressure of the current area.
2. The method for regulating the pressure in a medical cabin based on an intelligent sensor according to claim 1, characterized in that: In step S1, when a person moves from a high altitude area to a low altitude area, subsequent calculations are stopped.
3. The method for regulating the pressure in a medical cabin based on an intelligent sensor according to claim 1, characterized in that: In the step S2, if all the body data drops below the corresponding threshold value within the buffer time T, it is determined that the altitude sickness of the person is relieved.
4. The method for regulating the pressure in a medical cabin based on an intelligent sensor according to claim 1, characterized in that: In the step S3, the average value of each environmental data of the original residence is used as the original value.
5. The method for regulating the pressure in a medical cabin based on an intelligent sensor according to claim 1, characterized in that: In step S3, the threshold value X of each body data is obtained. max , Y max , Z max , calculate X now -X max , Y now -Y max , Z now -Z max , filter out the body data less than 0 and record it as normal data, and exclude the sub-items corresponding to the normal data from the calculation of the environmental adaptation coefficient A.
6. The method for regulating the pressure in a medical cabin based on an intelligent sensor according to claim 1, characterized in that: In step S4, the method for calculating the adjustment time XT based on the environmental adaptation coefficient A includes: Obtain the single use time of the medical cabin and calculate its mean, record the mean of the single use time as the benchmark time JT, and calculate the mean value A of the environmental adaptation coefficient of each user ave , calculate the adjustment time , where the mean value A of the environmental adaptation coefficient is ave This data is not included.
7. The method for regulating the pressure in a medical cabin based on an intelligent sensor according to claim 1, characterized in that: In the step S4, it includes: The observation time Tc is preset. After each adjustment sub-time, the medical cabin enters the observation time. It is obtained whether the body data is greater than the corresponding threshold during the observation time. If so, the oxygen concentration and equivalent air pressure in the medical cabin are increased. and ; If it does not exist, continue to adjust the environmental data of the medical cabin.
8. The method for regulating the pressure in a medical cabin based on an intelligent sensor according to claim 7, characterized in that: The observation time Tc≤XT / 10.