Intelligent lung function respiratory training instrument

Abstract

The invention relates to the technical field of lung function training instruments, and discloses an intelligent lung function respiratory training instrument which comprises a respirator and a respiratory tube. A throttle switch; a gas storage device; the gas inlet device is connected with the gas storage device through a gas inlet pipe and used for supplementing gas into the gas storage device; the exhaust device is connected with the gas storage device through an exhaust pipe and is used for exhausting the gas in the gas storage device; the gas flow adjusting device is arranged on the gas inlet pipe and the gas outlet pipe and is used for adjusting the flow of gas entering / discharged out of the gas storage device; the gas flow monitoring module is located in the gas inlet pipe and the gas outlet pipe and used for monitoring the gas flow passing through the gas flow adjusting device in real time; the central control module is electrically connected with the throttle switch, the airflow adjusting device and the airflow monitoring module; and the early warning module is electrically connected with the central control module. By integrating various intelligent components and functional modules, comprehensive monitoring and personalized adjustment of respiratory training are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of pulmonary function training instruments, and more specifically, to an intelligent pulmonary function breathing training instrument. Background Art

[0002] Traditional pulmonary function training devices usually provide only a single respiratory parameter, such as respiratory rate or respiratory depth, in respiratory training monitoring, which cannot comprehensively reflect the user's respiratory condition. In addition, these training devices lack flexibility in training strategies and cannot be adjusted in a timely manner according to the user's actual breathing situation, which affects the training effect.

[0003] Therefore, it is necessary to design an intelligent pulmonary function breathing training instrument to solve the problems existing in the current technology. Summary of the Invention

[0004] In view of this, the present invention proposes an intelligent pulmonary function breathing training instrument, aiming to solve the problem that the traditional pulmonary function training instrument in the current technology cannot make timely adjustments according to the user's actual breathing situation, thus affecting the training effect.

[0005] The present invention proposes an intelligent pulmonary function breathing training instrument, including:

[0006] A breathing mask and a breathing tube, the breathing mask is located at one end of the breathing tube, and the breathing mask is detachably connected to the breathing tube;

[0007] A throttle switch, which is arranged in the middle of the breathing tube and is used to adjust the flow rate of the breathing air flow;

[0008] A gas storage device, which is fixedly connected to the other end of the breathing tube and is used to store and provide the gas required for training;

[0009] An air inlet device, which is connected to the gas storage device through an air inlet pipe and is used to supplement gas into the gas storage device;

[0010] An exhaust device, which is connected to the gas storage device through an exhaust pipe and is used to discharge the gas in the gas storage device;

[0011] An air flow regulating device, which is arranged on the air inlet pipe and the exhaust pipe and is used to adjust the gas flow rate entering / leaving the inside of the gas storage device;

[0012] An air flow monitoring module, which is located in the air inlet pipe and the exhaust pipe and is used to monitor the gas flow rate passing through the air flow regulating device in real time;

[0013] A central control module, which is electrically connected to the throttle switch, the air flow regulating device and the air flow monitoring module;

[0014] An early warning module, which is electrically connected to the central control module.

[0015] Further, the gas storage device includes:

[0016] A breathing tank for storing the gas required for training;

[0017] A pressure sensor disposed inside the breathing tank for real-time monitoring of the gas pressure inside the breathing tank;

[0018] A thermoelectric heater disposed at the bottom of the breathing tank for heating the gas inside the breathing tank;

[0019] A temperature sensor disposed inside the breathing tank for real-time monitoring of the gas temperature inside the breathing tank.

[0020] Further, the air flow regulating device includes:

[0021] An intake valve disposed on the side of the intake pipe close to the breathing tank for controlling the gas flow rate entering the breathing tank;

[0022] An exhaust valve disposed on the side of the exhaust pipe close to the breathing tank for controlling the gas flow rate discharged from the breathing tank;

[0023] A flow controller connected to the intake valve and the exhaust valve and electrically connected to the central control module.

[0024] Further, the air flow monitoring module includes:

[0025] A first flow sensor disposed on the intake pipe for real-time monitoring of the gas flow rate entering the breathing tank;

[0026] A second flow sensor disposed on the exhaust pipe for real-time monitoring of the gas flow rate discharged from the breathing tank;

[0027] Wherein, both the first flow sensor and the second flow sensor are electrically connected to the central control module.

[0028] Further, the warning module includes:

[0029] An alarm lamp electrically connected to the central control module for lighting up when receiving a warning signal sent by the central control module;

[0030] A display screen electrically connected to the central control module for displaying warning information.

[0031] Further, the central control module includes:

[0032] The acquisition unit is configured to acquire the personal information of the person to be trained and determine the initial training strategy of the person to be trained according to the personal information; wherein, the initial training strategy includes the initial opening degree of the throttle switch, the initial intake opening degree of the intake valve, and the initial exhaust opening degree of the exhaust valve;

[0033] The judgment unit is configured to acquire the historical training data of the person to be trained, parse the historical training data, and judge whether to adjust the initial training strategy based on the parsing result;

[0034] The processing unit is configured to, when it is determined to adjust the initial training strategy, acquire the respiratory duration ratio of the person to be trained, determine the adjustment coefficient group of the initial training strategy according to the respiratory duration ratio, and obtain the final training strategy;

[0035] The warning unit is connected to the warning module and is configured to send a warning signal to the warning module when it detects that the respiratory parameters of the person to be trained exceed the preset safety range.

[0036] Further, when the acquisition unit determines the initial training strategy of the person to be trained according to the personal information, it includes:

[0037] Parse the personal information to obtain the gender, age, height, weight, and health status of the person to be trained;

[0038] Calculate the respiratory training value according to the gender, age, height, weight, and health status;

[0039] Determine the initial training strategy according to the respiratory training value.

[0040] Further, when the judgment unit parses the historical training data and judges whether to adjust the initial training strategy based on the parsing result, it includes:

[0041] Parse the historical training data to obtain the historical training duration and historical training score corresponding to each training;

[0042] Count the number of training times greater than or equal to the standard training duration, which is recorded as the historical training times;

[0043] Count the number of training times greater than or equal to the standard training score, which is recorded as the excellent training times;

[0044] Calculate the number of intersection items between the historical training times and the excellent training times, which is recorded as the intersection item training times;

[0045] Compare the number of training times of the intersection term with the threshold of the number of intersection terms. If the number of training times of the intersection term is less than the threshold of the number of intersection terms, it is determined that the initial training strategy is adjusted; otherwise, it is determined that the initial training strategy is not adjusted.

[0046] Further, when the processing unit determines the adjustment coefficient group of the initial training strategy according to the respiration duration ratio and obtains the final training strategy, it includes:

[0047] Compare the respiration duration ratio with the first respiration duration ratio and the second respiration duration ratio, and determine the adjustment coefficient group of the initial training strategy according to the comparison result; wherein, the first respiration duration ratio is less than the second respiration duration ratio;

[0048] When the respiration duration ratio is less than the first respiration duration ratio, determine that the adjustment coefficient group is the first adjustment coefficient group, and multiply the initial training strategy by the first adjustment coefficient group to obtain the final training strategy;

[0049] When the respiration duration ratio is greater than or equal to the first respiration duration ratio and less than the second respiration duration ratio, determine that the adjustment coefficient group is the second adjustment coefficient group, and multiply the initial training strategy by the second adjustment coefficient group to obtain the final training strategy;

[0050] When the respiration duration ratio is greater than the second respiration duration ratio, determine that the adjustment coefficient group is the third adjustment coefficient group, and multiply the initial training strategy by the third adjustment coefficient group to obtain the final training strategy.

[0051] Further, the adjustment coefficient group includes a switch adjustment coefficient corresponding to the initial switch opening, an intake adjustment coefficient corresponding to the initial intake opening, and an exhaust adjustment coefficient corresponding to the initial exhaust opening.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows: The intelligent pulmonary function breathing trainer provided by the present invention realizes precise management and adjustment of breathing training through the intelligent control of each component by the central control module. When the user uses it, the breathing mask is connected to the breathing tube, and the flow rate of the breathing air flow is adjusted through the throttle switch to adapt to the breathing needs of different users. The gas storage device stores the gas required for training, and the intake device and the exhaust device are respectively responsible for replenishing gas into the gas storage device and discharging the gas, ensuring the continuity and stability of training. The setting of the air flow adjustment device enables the gas flow rate entering and discharging from the gas storage device to be precisely adjusted, further improving the accuracy of training. At the same time, the air flow monitoring module monitors the gas flow rate in real time, providing accurate data support for the central control module. When the central control module detects that the breathing parameters of the user exceed the preset safety range, it will immediately send a warning signal through the warning module to remind the user to pay attention to safety.

[0053] The beneficial effects of the intelligent pulmonary function breathing trainer provided by the present invention are that by integrating a variety of intelligent components and functional modules, comprehensive monitoring and personalized adjustment of breathing training are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0055] Figure 1 is a schematic diagram of the overall structure of the intelligent pulmonary function breathing trainer provided by the embodiment of the present invention.

[0056] In the figure: 100, breathing mask; 110, breathing tube; 111, throttle switch; 120, intake device; 130, exhaust device; 141, intake pipe; 142, intake valve; 151, exhaust pipe; 152, exhaust valve; 160, flow controller; 171, first flow sensor; 172, second flow sensor; 180, central control module; 181, acquisition unit; 182, judgment unit; 183, processing unit; 184, warning unit; 191, breathing tank; 192, pressure sensor; 193, thermoelectric heater; 194, temperature sensor. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. Hereinafter, the present invention will be described in detail with reference to the drawings and in combination with the embodiments.

[0058] Refer to Figure 1 As shown, in some embodiments of the present application, the present embodiment provides an intelligent pulmonary function breathing trainer, including:

[0059] A breathing mask 100 and a breathing tube 110, the breathing mask 100 is located at one end of the breathing tube 110, and the breathing mask 100 is detachably connected to the breathing tube 110;

[0060] A throttle switch 111, which is arranged in the middle of the breathing tube 110 and is used to adjust the flow rate of the breathing air flow;

[0061] A gas storage device, fixedly connected to the other end of the breathing tube 110, for storing and providing the gas required for training;

[0062] An air intake device 120, connected to the gas storage device through an intake pipe 141, for replenishing gas into the gas storage device;

[0063] An exhaust device 130, connected to the gas storage device through an exhaust pipe 151, for discharging the gas in the gas storage device;

[0064] An air flow regulating device, arranged on the intake pipe 141 and the exhaust pipe 151, for regulating the gas flow rate entering / leaving the interior of the gas storage device;

[0065] An air flow monitoring module, located in the intake pipe 141 and the exhaust pipe 151, for real-time monitoring of the gas flow rate passing through the air flow regulating device;

[0066] A central control module 180, electrically connected to the throttle switch 111, the air flow regulating device and the air flow monitoring module;

[0067] An early warning module, electrically connected to the central control module 180.

[0068] In this embodiment, the air intake device 120 is preferably an air compressor, which can compress the external air and transport it into the gas storage device.

[0069] In this embodiment, the exhaust device 130 is preferably a micro air pump, which can extract the gas in the gas storage device and discharge it into the external environment.

[0070] It can be understood that the intelligent lung function breathing trainer provided in this embodiment performs intelligent control on each component through the central control module 180, realizing precise management and adjustment of breathing training. When the user is using it, the breathing mask 100 is connected to the breathing tube 110, and the flow rate of the breathing air flow is adjusted through the throttle switch 111 to adapt to the breathing needs of different users. The gas storage device stores the gas required for training, and the air intake device 120 and the exhaust device 130 are respectively responsible for replenishing gas into the gas storage device and discharging the gas, ensuring the continuity and stability of training. The setting of the air flow regulating device enables the gas flow rate entering and leaving the gas storage device to be precisely adjusted, further improving the accuracy of training. At the same time, the air flow monitoring module monitors the gas flow rate in real time, providing accurate data support for the central control module 180. When the central control module 180 detects that the user's breathing parameters exceed the preset safety range, it will immediately send out an early warning signal through the early warning module to remind the user to pay attention to safety.

[0071] It can be understood that the beneficial effect of the intelligent pulmonary function breathing trainer provided in this embodiment is that by integrating a variety of intelligent components and functional modules, comprehensive monitoring and personalized adjustment of breathing training are realized.

[0072] Specifically, the gas storage device includes:

[0073] A breathing tank 191 for storing the gas required for training;

[0074] A pressure sensor 192 is arranged inside the breathing tank 191 for real-time monitoring of the gas pressure inside the breathing tank 191;

[0075] A thermoelectric heater 193 is arranged at the bottom of the breathing tank 191 for heating the gas inside the breathing tank 191;

[0076] A temperature sensor 194 is arranged inside the breathing tank 191 for real-time monitoring of the gas temperature inside the breathing tank 191.

[0077] It can be understood that by real-time monitoring of the gas pressure inside the breathing tank 191 by the pressure sensor 192, it can ensure that the gas pressure inside the gas storage device always remains within an appropriate range, thus ensuring the stability and safety of the training. The setting of the thermoelectric heater 193 can heat the gas inside the breathing tank 191, so that when the user conducts breathing training in a cold environment, they can still inhale warm gas, improving the comfort of the training. The temperature sensor 194 real-time monitors the gas temperature inside the breathing tank 191 and provides temperature data for the central control module 180, enabling the central control module 180 to control the thermoelectric heater 193 according to the actual temperature to ensure the constancy of the gas temperature.

[0078] Specifically, the air flow regulating device includes:

[0079] An intake valve 142 is arranged on the side of the intake pipe 141 close to the breathing tank 191 for controlling the gas flow rate entering the breathing tank 191;

[0080] An exhaust valve 152 is arranged on the side of the exhaust pipe 151 close to the breathing tank 191 for controlling the gas flow rate discharged from the breathing tank 191;

[0081] A flow controller 160 is connected to the intake valve 142 and the exhaust valve 152 and is electrically connected to the central control module 180.

[0082] It can be understood that by setting the intake valve 142 and the exhaust valve 152, the gas flow rate into and out of the breathing tank 191 can be controlled respectively, and the flow controller 160 is connected to the intake valve 142 and the exhaust valve 152, receiving instructions from the central control module 180 to precisely adjust the gas flow rate. This design enables the intelligent lung function breathing trainer to perform personalized adjustment of the gas inflow and outflow according to different training requirements, further improving the accuracy and effectiveness of the training. At the same time, since the intake valve 142, the exhaust valve 152, and the flow controller 160 are all electrically connected to the central control module 180, the entire air flow adjustment process can achieve intelligent control, greatly simplifying the operation difficulty for users.

[0083] Specifically, the air flow monitoring module includes:

[0084] The first flow sensor 171, which is arranged on the intake pipe 141 and is used to monitor the gas flow rate into the breathing tank 191 in real time;

[0085] The second flow sensor 172, which is arranged on the exhaust pipe 151 and is used to monitor the gas flow rate out of the breathing tank 191 in real time;

[0086] Among them, both the first flow sensor 171 and the second flow sensor 172 are electrically connected to the central control module 180.

[0087] It can be understood that,

[0088] Specifically, the warning module includes:

[0089] An alarm lamp, which is electrically connected to the central control module 180 and is used to light up when receiving a warning signal sent by the central control module 180;

[0090] A display screen, which is electrically connected to the central control module 180 and is used to display warning information.

[0091] It can be understood that when the user's breathing parameters are abnormal or the device malfunctions, the central control module 180 will immediately activate the warning module. The alarm lamp will quickly light up to attract the user's attention, and at the same time, specific warning information such as too high breathing frequency and abnormal gas pressure will be displayed on the display screen so that the user can take corresponding measures in a timely manner. This intuitive and timely warning mechanism greatly improves the safety and reliability of the intelligent lung function breathing trainer.

[0092] Specifically, the central control module 180 includes:

[0093] An acquisition unit 181, which is configured to acquire the personal information of the person to be trained and determine the initial training strategy of the person to be trained according to the personal information; among them, the initial training strategy includes the initial opening degree of the throttle switch 111, the initial intake opening degree of the intake valve 142, and the initial exhaust opening degree of the exhaust valve 152;

[0094] A judgment unit 182, configured to collect historical training data of the person to be trained, parse the historical training data, and determine whether to adjust the initial training strategy based on the parsing result;

[0095] A processing unit 183, configured to collect the respiratory duration ratio of the person to be trained when it is determined to adjust the initial training strategy, determine an adjustment coefficient group of the initial training strategy according to the respiratory duration ratio, and obtain a final training strategy;

[0096] An early warning unit 184, connected to the early warning module, configured to send an early warning signal to the early warning module when it detects that the respiratory parameters of the person to be trained exceed a preset safety range.

[0097] It can be understood that the central control module 180, as the core component of the entire intelligent pulmonary function breathing trainer, its various units work together to ensure the personalization and safety of the training. The acquisition unit 181 first acquires the personal information of the person to be trained, such as age, gender, physical condition, etc. These information are important bases for formulating the initial training strategy. Based on these personal information, the acquisition unit 181 can initially determine the initial opening degrees of the throttle switch 111, the intake valve 142, and the exhaust valve 152, providing a reasonable starting point for the training. The judgment unit 182 is used to collect the historical training data of the person to be trained and deeply parse it. Through the analysis of the historical data, the judgment unit 182 can evaluate the training progress and adaptability of the person to be trained, so as to decide whether to adjust the initial training strategy. This dynamic adjustment mechanism makes the training more in line with the actual situation of the person to be trained, improving the pertinence and effectiveness of the training. When the judgment unit 182 decides to adjust the initial training strategy, the processing unit 183 begins to play a role. It collects the respiratory duration ratio of the person to be trained, that is, the ratio of the inhalation time to the exhalation time, which is one of the important indicators for evaluating respiratory function. Based on the respiratory duration ratio, the processing unit 183 can determine the adjustment coefficient group of the initial training strategy, making the final training strategy more in line with the actual needs of the person to be trained, and helping to achieve better training effects. And the early warning unit 184 always pays attention to the respiratory parameters of the person to be trained. Once it detects that the respiratory parameters exceed the preset safety range, the early warning unit 184 will immediately send an early warning signal to the early warning module. At this time, the warning light will turn on, and specific warning information will also be displayed on the display screen, reminding the person to be trained to pay attention and take corresponding measures. This timely early warning mechanism effectively avoids potential safety risks and ensures the smooth progress of the training.

[0098] Specifically, when the acquisition unit 181 determines the initial training strategy of the person to be trained according to the personal information, it includes:

[0099] Parse the personnel information to obtain the gender, age, height, weight and health status of the personnel to be trained;

[0100] Calculate the breathing training value according to the gender, age, height, weight and health status;

[0101] Determine the initial training strategy according to the breathing training value.

[0102] It can be understood that the breathing training value is obtained by the following formula:

[0103]

[0104] A represents the age correction factor, with the unit of dimensionless, which is set according to the user's age group (for example, children = 1.2, youth = 1.0, middle-aged = 0.9, elderly = 0.8); H represents the height, with the unit of cm; W represents the weight, with the unit of kg; Ks represents the gender coefficient, 1.1 for male and 1.0 for female; Kh represents the health status correction coefficient, 1.0 for normal, 1.2 for mild respiratory problems, and 1.5 for severe problems.

[0105] It can be understood that through the detailed analysis of the personnel information, the intelligent pulmonary function breathing trainer can formulate a more scientific and reasonable initial training strategy according to the individual differences of different users. Gender, age, height and weight, as basic human parameters, have a direct impact on respiratory function. For example, people of different age groups have different vital capacities and breathing frequencies; differences in height and weight also affect the resistance and energy consumption during breathing. Therefore, these factors must be fully considered when formulating the initial training strategy. The introduction of the gender coefficient and the health status correction coefficient further improves the pertinence and accuracy of the training strategy. Gender differences lead to different respiratory physiological structures, and the health status directly affects the strength of respiratory function. By comprehensively considering these factors, the intelligent pulmonary function breathing trainer can provide a more personalized and effective breathing training plan for users.

[0106] Specifically, when the judgment unit 182 analyzes the historical training data and judges whether to adjust the initial training strategy based on the analysis result, it includes:

[0107] Analyze the historical training data to obtain the historical training duration and historical training score corresponding to each training;

[0108] Count the number of trainings greater than or equal to the standard training duration, and record it as the historical training times;

[0109] Count the number of trainings greater than or equal to the standard training score, and record it as the excellent training times;

[0110] Calculate the number of intersection terms between the historical training times and the excellent training times, which is denoted as the intersection-term training times.

[0111] Compare the intersection-term training times with the intersection-term times threshold. If the intersection-term training times are less than the intersection-term times threshold, it is determined to adjust the initial training strategy; otherwise, it is determined not to adjust the initial training strategy.

[0112] It can be understood that the standard training duration and the standard training score are important indicators for evaluating the user's training effect and training quality. The standard training duration represents the shortest time required to complete an effective training, which ensures that the user can obtain sufficient training volume to achieve the purpose of improving lung function. The standard training score is the result of a comprehensive evaluation of various aspects such as the breathing parameters, training stability, and adaptability during the user's training process, which reflects the user's training quality and progress.

[0113] It can be understood that through in-depth analysis of historical training data, the intelligent lung function breathing trainer can evaluate the user's training effect and progress. The historical training duration and the historical training score are two key evaluation indicators. The historical training duration reflects the user's training perseverance, while the historical training score directly reflects the training quality. By counting the number of times reaching or exceeding the standard training duration and the excellent training score, the user's training habits and ability levels can be further analyzed. The intersection-term training times, that is, the number of times meeting both the training duration and the training score criteria, is a comprehensive indicator to measure the user's training effect. When the intersection-term training times are lower than the preset intersection-term times threshold, it indicates that the user's training effect may not meet the expectations, or the training strategy does not match the user's actual situation well. At this time, it is necessary to adjust the initial training strategy to improve the training pertinence and effectiveness. This dynamic adjustment mechanism based on historical data enables the intelligent lung function breathing trainer to continuously adapt to the user's actual situation, provide a more personalized training plan for the user, and thus improve the training effect.

[0114] Specifically, when the processing unit 183 determines the adjustment coefficient group of the initial training strategy according to the breathing duration ratio and obtains the final training strategy, it includes:

[0115] Compare the breathing duration ratio with the first breathing duration ratio and the second breathing duration ratio, and determine the adjustment coefficient group of the initial training strategy according to the comparison result; wherein, the first breathing duration ratio is less than the second breathing duration ratio.

[0116] When the breathing duration ratio is less than the first breathing duration ratio, determine the adjustment coefficient group as the first adjustment coefficient group, and multiply the initial training strategy by the first adjustment coefficient group to obtain the final training strategy.

[0117] When the ratio of inhalation duration to exhalation duration is greater than or equal to the first ratio of inhalation duration to exhalation duration and less than the second ratio of inhalation duration to exhalation duration, determine that the adjustment coefficient group is the second adjustment coefficient group, and multiply the initial training strategy by the second adjustment coefficient group to obtain the final training strategy;

[0118] When the ratio of inhalation duration to exhalation duration is greater than the second ratio of inhalation duration to exhalation duration, determine that the adjustment coefficient group is the third adjustment coefficient group, and multiply the initial training strategy by the third adjustment coefficient group to obtain the final training strategy.

[0119] Specifically, the adjustment coefficient group includes a switch adjustment coefficient corresponding to the initial switch opening, an intake adjustment coefficient corresponding to the initial intake opening, and an exhaust adjustment coefficient corresponding to the initial exhaust opening.

[0120] It can be understood that the first ratio of inhalation duration to exhalation duration and the second ratio of inhalation duration to exhalation duration are set based on a large amount of clinical data and breathing training experience. These two ratios respectively represent the ratio of inhalation time to exhalation time at different breathing function levels. By comparing these ratios with the actual ratio of inhalation duration to exhalation duration of the person to be trained, the processing unit 183 can accurately judge the breathing function state of the person to be trained and determine the appropriate adjustment coefficient group accordingly. The first adjustment coefficient group corresponds to the situation of relatively weak breathing function. By increasing the intake opening of the intake valve 142 and decreasing the exhaust opening of the exhaust valve 152, and appropriately adjusting the opening of the throttle switch 111, the breathing training can be made easier, which helps the person to be trained gradually improve their breathing ability. The second adjustment coefficient group is applicable to the situation of medium breathing function level. It maintains an appropriate opening of the intake valve 142 and the exhaust valve 152, which will not bring too much breathing burden to the person to be trained and can ensure the effectiveness of the training. When the ratio of inhalation duration to exhalation duration of the person to be trained is greater than the second ratio of inhalation duration to exhalation duration, it indicates that their breathing function is already relatively strong. At this time, the third adjustment coefficient group needs to be adopted. By decreasing the intake opening of the intake valve 142 and increasing the exhaust opening of the exhaust valve 152, and further adjusting the opening of the throttle switch 111, the difficulty and challenge of the training are increased, so as to promote the further improvement of the breathing function of the person to be trained. This method of dynamically adjusting the training strategy based on the ratio of inhalation duration to exhalation duration enables the intelligent pulmonary function breathing trainer to provide a more personalized and scientific training plan according to the actual situation of different users, thus greatly improving the pertinence and effectiveness of the training.

[0121] In this embodiment, the adjustment coefficient group = [a, b, c], where a is the switch adjustment coefficient of the throttle switch 111, b is the intake adjustment coefficient of the intake valve 142, and c is the exhaust adjustment coefficient of the exhaust valve 152. The first adjustment coefficient group = [a1, b1, c1], and the corresponding preferred values are [0.8, 1.2, 0.6]; the second adjustment coefficient group = [a2, b2, c2], and the corresponding preferred values are [0.95, 1.05, 0.90]; the third adjustment coefficient group = [a3, b3, c3], and the corresponding preferred values are [1.2, 0.8, 1.4]. It can be understood that the specific values of these adjustment coefficients are set based on clinical data and respiratory training experience, aiming to ensure the effectiveness and safety of the training. By dynamically adjusting these coefficients, the intelligent pulmonary function breathing trainer can provide a more personalized training plan according to the respiratory function status of different users, thereby helping users better improve their respiratory function and quality of life.

[0122] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0123] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0124] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0125] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are executed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions for implementing the functions specified in one process or a plurality of processes and / or blocks Figure 1 one process or a plurality of processes and / or blocks Figure 1 steps for the functions specified in one block or a plurality of blocks.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. An intelligent lung function breathing training device, characterized in that: include: A breathing mask and a breathing tube, wherein the breathing mask is located at one end of the breathing tube, and the breathing mask is detachably connected to the breathing tube; A throttle switch, arranged in the middle of the breathing tube, for adjusting the flow of the breathing airflow; A gas storage device, fixedly connected to the other end of the breathing tube, for storing and providing gas required for training; An air intake device, connected to the gas storage device via an air intake pipe, and used to replenish gas into the gas storage device; An exhaust device, connected to the gas storage device through an exhaust pipe, and used to exhaust the gas in the gas storage device; An air flow regulating device, arranged on the air inlet pipe and the air outlet pipe, for regulating the flow of gas entering / exhausting the gas storage device; An airflow monitoring module, located in the air inlet pipe and the exhaust pipe, for real-time monitoring of the gas flow through the airflow regulating device; A central control module, electrically connected to the throttle switch, the airflow regulating device and the airflow monitoring module; The early warning module is electrically connected to the central control module.

2. The intelligent pulmonary function breathing training device according to claim 1, characterized in that: The gas storage device comprises: Breathing tanks, used to store the gases needed for training; A pressure sensor is arranged inside the breathing tank and is used to monitor the gas pressure inside the breathing tank in real time; A thermoelectric heater is disposed at the bottom of the breathing tank and is used to heat the gas in the breathing tank; The temperature sensor is arranged inside the breathing tank and is used to monitor the gas temperature inside the breathing tank in real time.

3. The intelligent pulmonary function breathing training device according to claim 2, characterized in that: The airflow regulating device comprises: An air inlet valve, arranged on a side of the air inlet pipe close to the breathing tank, for controlling the flow of gas entering the breathing tank; An exhaust valve is arranged on a side of the exhaust pipe close to the breathing tank and is used to control the flow of gas discharged from the breathing tank; The flow controller is connected to the intake valve and the exhaust valve, and is electrically connected to the central control module.

4. The intelligent pulmonary function breathing training device according to claim 3, characterized in that: The airflow monitoring module comprises: A first flow sensor is arranged on the air inlet pipe and is used to monitor the gas flow entering the breathing tank in real time; A second flow sensor is arranged on the exhaust pipe and is used to monitor the gas flow discharged from the breathing tank in real time; Wherein, the first flow sensor and the second flow sensor are both electrically connected to the central control module.

5. The intelligent lung function breathing training device according to claim 4, characterized in that: The early warning module comprises: An alarm light, electrically connected to the central control module, and configured to light up upon receiving an early warning signal sent by the central control module; A display screen is electrically connected to the central control module and is used to display warning information.

6. The intelligent lung function breathing training device according to claim 5, characterized in that: The central control module includes: A collection unit is configured to collect personnel information of the personnel to be trained, and determine an initial training strategy for the personnel to be trained according to the personnel information; wherein the initial training strategy includes an initial switch opening of the throttle switch, an initial intake opening of the intake valve, and an initial exhaust opening of the exhaust valve; A judgment unit is configured to collect historical training data of the person to be trained, analyze the historical training data, and judge whether to adjust the initial training strategy based on the analysis result; a processing unit configured to, when determining to adjust the initial training strategy, collect the breathing duration ratio of the person to be trained, determine the adjustment coefficient group of the initial training strategy according to the breathing duration ratio, and obtain a final training strategy; The early warning unit is connected to the early warning module and is configured to send an early warning signal to the early warning module when it is detected that the breathing parameters of the person to be trained exceed a preset safety range.

7. The intelligent lung function breathing training device according to claim 6, characterized in that: When the acquisition unit determines the initial training strategy of the personnel to be trained according to the personnel information, it includes: Analyze the personnel information to obtain the gender, age, height, weight and health status of the personnel to be trained; Calculate breathing training values ​​based on the gender, age, height, weight and health status; An initial training strategy is determined according to the breathing training value.

8. The intelligent lung function breathing training device according to claim 7, characterized in that: The determining unit analyzes the historical training data and determines whether to adjust the initial training strategy based on the analysis result, including: Analyze the historical training data to obtain the historical training duration and historical training score corresponding to each training; Count the number of training sessions that are greater than or equal to the standard training duration and record them as historical training sessions; The number of training sessions that are greater than or equal to the standard training score is counted and recorded as the number of excellent training sessions; Calculate the number of intersection items between the historical training times and the excellent training times, and record it as the number of intersection item training times; The number of intersection item training times is compared with the intersection item number threshold. If the number of intersection item training times is less than the intersection item number threshold, it is determined to adjust the initial training strategy; otherwise, it is determined not to adjust the initial training strategy.

9. The intelligent lung function breathing training device according to claim 8, characterized in that: When the processing unit determines the adjustment coefficient group of the initial training strategy according to the breathing duration ratio and obtains the final training strategy, it includes: Comparing the breathing duration ratio with a first breathing duration ratio and a second breathing duration ratio, and determining an adjustment coefficient group of the initial training strategy according to the comparison result; wherein the first breathing duration ratio is smaller than the second breathing duration ratio; When the breathing duration ratio is less than the first breathing duration ratio, determining that the adjustment coefficient group is the first adjustment coefficient group, and multiplying the initial training strategy by the first adjustment coefficient group to obtain a final training strategy; When the breathing duration ratio is greater than or equal to the first breathing duration ratio and less than the second breathing duration ratio, determining that the adjustment coefficient group is a second adjustment coefficient group, and multiplying the initial training strategy by the second adjustment coefficient group to obtain a final training strategy; When the breathing duration ratio is greater than the second breathing duration ratio, the adjustment coefficient group is determined to be a third adjustment coefficient group, and the initial training strategy is multiplied by the third adjustment coefficient group to obtain a final training strategy.

10. The intelligent lung function breathing training device according to claim 9, characterized in that: The adjustment coefficient group includes a switch adjustment coefficient corresponding to the initial switch opening, an intake adjustment coefficient corresponding to the initial intake opening, and an exhaust adjustment coefficient corresponding to the initial exhaust opening.

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