Mobile plateau oxygen therapy intelligent control system

Abstract

The invention discloses a mobile plateau oxygen therapy intelligent control system, and belongs to the technical field of medical health. The problem that an existing oxygen supply device is single in function is solved, the functions of data collection, intelligent analysis, oxygen supply control, alarm prompting and the like are integrated, key parameters such as oxygen concentration, heart rate and oxyhemoglobin saturation around a user are monitored in real time, current data are predicted and analyzed through a convolutional neural network model, and the intelligent oxygen supply control system has the advantages that the intelligent oxygen supply control function is achieved. The system intelligently adjusts the output of the oxygen supply equipment according to the analysis result, and it is ensured that a user obtains appropriate oxygen supply in the plateau environment; secondly, when it is detected that the oxygen concentration around the user is lower than a threshold value or equipment breaks down, sound-light alarm prompt is given out; multiple safety protection mechanisms are arranged in the system, it is ensured that automatic shutdown can be achieved under the abnormal condition, meanwhile, an emergency shutdown button is arranged, equipment operation can be rapidly stopped under the emergency condition, and therefore the safety of the equipment and the safety of a user are protected.

Description

Technical Field

[0001] The present invention relates to the field of medical health technology, and in particular to a mobile plateau oxygen therapy intelligent control system. Background Art

[0002] Altitude sickness is a physiological stress response of the human body to the lack of oxygen in high altitude areas. It is mainly because the oxygen partial pressure in the atmosphere at high altitudes decreases, which directly affects the oxygenation of the blood, causing insufficient oxygen supply to the human body, thus leading to hypoxia. For this reason, before entering plateau areas, users usually need to configure oxygen supply equipment such as oxygen cylinders to help users increase the concentration of inhaled oxygen to relieve the symptoms of altitude sickness, and provide users with safe, stable and efficient oxygen therapy services, so that users can obtain the best effect of suppressing altitude sickness while ensuring comfort.

[0003] However, in the existing technology, oxygen cylinders have a single function and can only provide oxygen to users. It is difficult to adjust the output of the oxygen supply equipment according to the actual situation of the user. Secondly, the existing oxygen cylinders do not have a safety alarm function and cannot guarantee the safety of the use of oxygen supply equipment. Therefore, the existing needs are not met, and we propose a mobile plateau oxygen therapy intelligent control system. Summary of the invention

[0004] The purpose of the present invention is to provide a mobile plateau oxygen therapy intelligent control system, which integrates data acquisition, intelligent analysis, oxygen supply control, alarm prompts and other functions, monitors the key parameters such as oxygen concentration, heart rate, blood oxygen saturation around the user in real time, and uses a convolutional neural network model to predict and analyze the current data, so that the system can intelligently adjust the output of the oxygen supply equipment according to the analysis results to ensure that the user gets a suitable oxygen supply in a plateau environment; secondly, when it is detected that the oxygen concentration around the user is lower than the threshold or the equipment fails, an audible and visual alarm prompt is issued; and the system has built-in multiple safety protection mechanisms to ensure that it can automatically shut down under abnormal circumstances, and is equipped with an emergency stop button to quickly stop the equipment in an emergency, thereby protecting the safety of the equipment and the user, aiming to provide users with safe, stable and efficient oxygen therapy services, and solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A mobile plateau oxygen therapy intelligent control system, comprising: The data acquisition unit is a pressure sensor installed on the oxygen inhalation pipeline and a heart rate and blood oxygen saturation monitoring device, which is used to collect the pressure data of the oxygen inhalation pipeline in real time and monitor the heart rate data and blood oxygen saturation of the user in real time; A timing feedback unit is used to pre-set the time node for data feedback of the data acquisition unit during the monitoring process; The system main control unit is used to use the optimized convolutional neural network model to analyze the pressure data of the oxygen inhalation pipeline and the user's heart rate data and blood oxygen saturation data, obtain the user's current oxygen demand, and feed back to the oxygen supply control unit; The oxygen supply control unit is used to control the oxygen output and output time of the oxygen inhalation pipeline and the valve opening or closing operation based on the feedback analysis results, so as to ensure that the user obtains appropriate oxygen supply and complete pulse oxygen supply; The system alarm unit is used to send out audible and visual alarm prompts through the alarm prompt function when it detects that the oxygen concentration around the user is lower than the threshold or that any equipment fails, ensuring that potential safety hazards are discovered and dealt with in a timely manner to ensure the safety of the user.

[0006] Furthermore, it also includes: Safety protection unit, which is used to build multiple safety protection mechanisms into the system, including overheat protection, overcurrent protection, and short circuit protection, to ensure that the system automatically shuts down in abnormal situations to protect the safety of equipment and users; The remote control unit is used to use wireless communication technology or Bluetooth technology to enable users to connect to the system through a mobile phone APP to remotely view and control the working status of the system.

[0007] Furthermore, the data acquisition unit includes: The equipment maintenance module is used to regularly perform maintenance on each monitoring device, determine whether each device has a machine failure, and feed back the cause and location of the failure to the system alarm unit; The data storage module is used to store the collected pressure data, heart rate data and blood oxygen saturation to form a user database‌‌‌‌.

[0008] Furthermore, the timing feedback unit includes: A node setting module is used to preset the time nodes for each monitoring device to regularly feed back monitoring data to the system main control unit; The frequency adjustment module is used to adjust the frequency of the original data feedback time node after detecting abnormalities in the user's heart rate or blood oxygen saturation.

[0009] Furthermore, the system main control unit includes: The sample acquisition module is used to obtain various monitoring data of historical users and pre-process the data, including: deleting erroneous data and duplicate data, unifying the data format, and using it as a model training sample; The model training module is used to create a convolutional neural network model and divide the samples into training sets and test sets. The samples are sequentially imported into the convolutional neural network model for training and testing, and the test results are compared and verified with the actual results to obtain the optimized convolutional neural network model. The data prediction module is used to periodically receive the current monitoring data fed back by the data acquisition unit, and import the current monitoring data into the optimized convolutional neural network model for prediction, to obtain the current user's heart rate and blood oxygen saturation status, and feed it back to the user's mobile phone APP for display.

[0010] Furthermore, the oxygen supply control unit comprises: The strategy formulation module is used to collect historical cases with different causes, formulate corresponding strategy plans according to different causes, and form a strategy database; and create a decision tree classification model to classify each strategy plan and its corresponding cause in the strategy database; The result analysis module is used to read the user result content fed back, and classify and search the causes of the current result content through the decision tree model to obtain the corresponding strategy solutions under the same or similar causes; The instruction execution module is used to execute the strategy selected by the current decision tree model, accurately control the output volume and output time of oxygen and the valve opening or closing operation, and complete pulse oxygen supply.

[0011] Furthermore, the system alarm unit comprises: The oxygen monitoring module is used to monitor the oxygen concentration around the user in real time and preset the oxygen concentration threshold value based on the oxygen concentration value required for normal operation of the equipment; The oxygen early warning module is used to compare the current oxygen concentration with the oxygen concentration threshold to determine whether there is an abnormality in the oxygen concentration in the current environment. If the current oxygen concentration is lower than the oxygen concentration threshold, an audible and visual alarm is issued through the alarm prompt function; The equipment early warning module is used to issue an audible and visual alarm prompt through the alarm prompt function when receiving equipment failure information fed back by the data acquisition unit.

[0012] Furthermore, the safety protection unit includes: The equipment protection module is used to build temperature sensors, current sensors and short-circuit sensors into the system to monitor the temperature, current and short-circuit faults of the system body in real time when the system is running, and automatically shut down the system in the event of overheating, overcurrent or short circuit to protect the safety of equipment and users; The emergency stop module is an emergency stop button installed on the outside of the system body, which is used to quickly stop the equipment operation in an emergency.

[0013] Further, the sound and light alarm includes: a first prompt mode and a second prompt mode. When the current oxygen concentration is lower than the oxygen concentration threshold, the sound and light alarm prompt is issued according to the first prompt mode through the alarm prompt function. When there is a machine failure in the equipment, the sound and light alarm prompt is issued according to the second prompt mode through the alarm prompt function. When the sound and light alarm prompt is issued according to the first prompt mode through the alarm prompt function, the prompt adjustment is performed during the sound and light alarm prompt process according to the frequency of the sound and light alarm prompt, including: When the current oxygen concentration is lower than the oxygen concentration threshold, an initial intensity prompt is performed according to the first prompt mode, and the prompt frequency is counted at the same time; According to the prompt frequency statistics, the intensity of the sound and light alarm prompt is estimated by the following formula:

[0014] In the above technical solution, Indicates the estimated data of the sound and light alarm intensity at the current frequency. Indicates the initial strength prompt, Indicates the current prompt frequency statistics. Indicates the preset frequency adjustment interval; The sound and light alarm prompt intensity adjustment information is determined based on the sound and light alarm prompt intensity estimation data combined with the current sound and light alarm prompt intensity data;

[0015] In the above technical solution, Indicates the adjustment information of the intensity of the sound and light alarm. No adjustment is required for the current intensity mode. When the sound and light alarm prompt intensity adjustment instruction is called, the sound and light alarm prompt intensity adjustment information is obtained; Indicates the current intensity data of the sound and light alarm prompt. Indicates adjustment of judgment threshold; According to the intensity adjustment information of the sound and light alarm prompt, the intensity of the sound and light alarm prompt is adjusted at the same time as the sound and light alarm prompt.

[0016] Furthermore, the data storage module stores the collected pressure data, heart rate data and blood oxygen saturation, including: determining user information, and analyzing whether it is necessary to clean up the user database, and obtaining an analysis and judgment result; When the analysis and judgment result shows that the user database needs to be cleaned up, a match is performed in the user database according to the user information to determine whether the stored data of the user exists, and a matching judgment result is obtained. Then, when the matching judgment result shows that the stored data of the user exists, a data information analysis and evaluation is performed on the user database in combination with the matching judgment result to determine the data information to be cleaned up, and the data information to be cleaned up is cleaned up; When the matching judgment result is that there is no storage data for the user, data information analysis and evaluation is directly performed on the user database to determine the data information to be cleared, and a user storage unit is established in the user database based on the user information. Then, when pressure data, heart rate data and blood oxygen saturation are collected, matching storage is performed in the corresponding user storage unit.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention integrates functions such as data acquisition, intelligent analysis, oxygen supply control, and alarm prompts. It monitors key parameters such as oxygen concentration, heart rate, and blood oxygen saturation around the user in real time, and uses a convolutional neural network model to predict and analyze the current data, so that the system can intelligently adjust the output of the oxygen supply equipment according to the analysis results to ensure that the user gets a suitable oxygen supply in a plateau environment; secondly, when it is detected that the oxygen concentration around the user is lower than the threshold or the equipment fails, an audible and visual alarm prompt is issued; and the system has built-in multiple safety protection mechanisms to ensure that it can automatically shut down under abnormal circumstances. At the same time, it is equipped with an emergency stop button to quickly stop the equipment in an emergency, thereby protecting the safety of the equipment and the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a composition diagram of the mobile plateau oxygen therapy intelligent control system of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] In order to solve the technical problems that the oxygen cylinder has a single function in the current technology, which can only provide oxygen to users, and it is difficult to adjust the output of the oxygen supply equipment according to the actual situation of the user; secondly, the existing oxygen cylinder has no safety alarm function and cannot ensure the safety of the oxygen supply equipment, please refer to Figure 1 , this embodiment provides the following technical solutions: The application scenarios of a mobile plateau oxygen therapy intelligent control system include but are not limited to the following situations, such as: providing oxygen supply and oxygen therapy services to tourists traveling to plateau areas to alleviate altitude sickness; or providing oxygen therapy services to patients with altitude sickness in plateau hospitals, clinics and other medical facilities, as well as providing oxygen supply to construction workers in plateau areas to improve work efficiency, alleviate altitude sickness, and provide necessary oxygen supply and oxygen therapy services to explorers to ensure their life safety.

[0021] A mobile plateau oxygen therapy intelligent control system, comprising: The data acquisition unit is a pressure sensor installed on the oxygen inhalation pipeline and a heart rate and blood oxygen saturation monitoring device, which is used to collect the pressure data of the oxygen inhalation pipeline in real time and monitor the user's heart rate data and blood oxygen saturation in real time; specifically, in this embodiment, the mobile plateau oxygen therapy intelligent control system is composed of a small portable plateau oxygen therapy intelligent device and an intelligent control system. The portable plateau oxygen therapy intelligent device has the characteristics of compact structure, small size and light weight, so that it is convenient for users to carry and transport; and it is equipped with a sturdy shell and durable materials to ensure that it can work normally even in the harsh environment of the plateau; the intelligent control system is used to monitor the actual oxygen supply status of the user in real time, aiming to provide users with safe, stable and efficient oxygen therapy services; by collecting the pressure data of the oxygen inhalation pipeline in real time through the pressure sensor, the changes in the patient's inhaled oxygen concentration can be accurately monitored to ensure safe and reliable treatment; through the heart rate and blood oxygen saturation monitoring device, the user's heart rate data and blood oxygen saturation can be prepared to obtain, so as to determine whether the user's current physical condition can adapt to the current oxygen supply.

[0022] Data acquisition unit, including: The equipment maintenance module is used to regularly inspect and maintain each monitoring device, determine whether there is a machine failure in each device, and feedback the cause and location of the failure to the system alarm unit; specifically, by taking the start time of the plateau oxygen therapy intelligent device as the starting point, during its operating time, the regular maintenance time is set according to the actual situation, such as: the maintenance time is to carry out equipment maintenance every 1H, so as to timely obtain whether there is an operating failure in the equipment, thereby ensuring the safe operation of the equipment.

[0023] The data storage module is used to store the collected pressure data, heart rate data and blood oxygen saturation to form a user database. Specifically, in the present embodiment, the data can be stored in a manner as follows: by equipping the device with a portable storage device, such as an SD card, the user's monitoring data and oxygen supply pressure data can be stored, thereby forming a user database, so as to facilitate the subsequent use of the database information to update and optimize the convolutional neural network model, thereby ensuring the accuracy of the convolutional neural network model's prediction and judgment.

[0024] The timing feedback unit is used to pre-set the time node of data feedback of the data acquisition unit during the monitoring process; the timing feedback unit includes: The node setting module is used to preset the time nodes for each monitoring device to regularly feed back monitoring data to the system main control unit; specifically, in this embodiment, for example, taking the start time of the data acquisition unit as the starting point, it is set to feed back data to the system main control unit once every 20 minutes until the data acquisition unit is turned off.

[0025] The frequency adjustment module is used to adjust the frequency of the original data feedback time node after monitoring the user's heart rate or blood oxygen saturation to be abnormal; specifically, following the above embodiment, such as: the current data feedback time node is 20min / 1 time, after the system main control unit analyzes that the user's heart rate or blood oxygen saturation is abnormal and adjusts the output of the oxygen supply equipment, the current data feedback time node can be adjusted to 10min / 1 time, thereby increasing the frequency of data feedback and ensuring that the user can more quickly know whether the current oxygen supply can meet the user's needs; and after the user's heart rate or blood oxygen saturation is normal, the current data feedback time node is adjusted back to 20min / 1 time; secondly, each data feedback time node is adjusted to 10min / 1 time, but when the oxygen supply equipment ends this time, the data feedback time node is not adjusted back to 20min / 1 time, and when the plateau oxygen therapy intelligent device is started next time, its data feedback time node automatically jumps to 20min / 1 time.

[0026] The system main control unit is used to use the optimized convolutional neural network model to analyze the pressure data of the oxygen inhalation pipeline and the user's heart rate data and blood oxygen saturation data, obtain the user's current oxygen demand, and feed back to the oxygen supply control unit; the system main control unit includes: The sample acquisition module is used to obtain various monitoring data of historical users and pre-process the data, including: deleting erroneous data and duplicate data, unifying the data format, and using it as model training samples; specifically, by collecting monitoring data of customers with different causes in the past, ensuring the accuracy and validity of the data through cleaning processing, and converting the data format into a type suitable for deep learning models, training samples for convolutional neural network models are obtained.

[0027] The model training module is used to create a convolutional neural network model, and divide the samples into a training set and a test set, import the samples into the convolutional neural network model in turn for training and testing, and compare the test results with the actual results for verification to obtain an optimized convolutional neural network model; specifically, by dividing the cleaned data samples, importing the training set into the assembled convolutional neural network model for training, establishing the feature set of the convolutional neural network model, and outputting the training results; then importing the test set into the trained convolutional neural network model for testing, and outputting the test results; comparing the training results with the test results to determine whether the two results are consistent, thereby determining whether the operation process of the convolutional neural network model is normal; then comparing the two results with the actual results to verify whether the prediction ability of the convolutional neural network model is accurate, so as to determine whether the convolutional neural network model can be put into actual use, if the two results are consistent and consistent with the actual results, then it is determined that the optimized convolutional neural network model can be put into normal use, which is used to analyze and determine the current user's heart rate and blood oxygen saturation.

[0028] The data prediction module is used to periodically receive the current monitoring data fed back by the data acquisition unit, and import the current monitoring data into the optimized convolutional neural network model for prediction, so as to obtain the current user's heart rate and blood oxygen saturation status, and feed it back to the user's mobile phone APP for display; specifically, by importing the current patient's heart rate data and blood oxygen saturation data into the optimized convolutional neural network model for analysis and prediction, the current user's heart rate and blood oxygen saturation status can be obtained to determine whether the oxygen supply output by the current oxygen inhalation pipeline needs to be adjusted; secondly, it is fed back to the user's mobile phone APP for display, so that the user can know his or her own condition in real time.

[0029] The oxygen supply control unit is used to control the oxygen output and output time of the oxygen inhalation pipeline and the valve opening or closing operation based on the feedback analysis results, so as to ensure that the user obtains appropriate oxygen supply and completes pulse oxygen supply; the oxygen supply control unit includes: The strategy formulation module is used to collect historical cases with different causes, formulate corresponding strategy plans according to different causes, and form a strategy database; and create a decision tree classification model to classify each strategy plan and its corresponding cause in the strategy database; specifically, as mentioned above, when obtaining historical data samples, its cause and the strategy plan proposed at that time can be obtained simultaneously; after collecting the strategy plans under different causes, the decision tree classification model can be used to classify each strategy plan and its corresponding cause according to similarity, so as to facilitate the subsequent retrieval of appropriate strategy plans according to the cause keyword, thereby improving the efficiency of strategy feedback.

[0030] The result analysis module is used to read the user result content fed back, and classify and search the causes of the current result content through a decision tree model to obtain the strategy solutions under the same or similar causes; specifically, by reading the user result content and storing it as a variable, the user result content is feature extracted and converted into a numerical vector; the user result content is classified using a decision tree classification model to obtain the cause category to which it belongs; and the corresponding strategy solutions are obtained for the same or similar cause category to which the user result content belongs.

[0031] The instruction execution module is used to execute the strategy selected by the current decision tree model, accurately control the output amount and output time of oxygen and the valve opening or closing operation, and complete the pulse oxygen supply; specifically, in the above embodiment, for example, the normal blood oxygen concentration is 95-100%, and the current user's blood oxygen saturation is monitored to be 80% through the data acquisition unit. After the cause of the disease is classified and searched through the decision tree classification model, the strategy is obtained as follows; For example, in Example 1, when the blood oxygen concentration is lower than the normal value, when the oxygen supply flow rate is adjusted to 3L oxygen inhalation, the blood oxygen concentration is 92%; when the oxygen supply flow rate is adjusted to 5L oxygen inhalation, the blood oxygen concentration is 95 %, after analysis, you can choose to adjust the oxygen supply flow rate to 5L first, and continue to monitor the user's blood oxygen saturation. When the blood oxygen concentration reaches more than 95%, the oxygen supply flow rate can be adjusted to 3L; such as Example 2: Under normal blood oxygen concentration conditions, when the oxygen supply flow rate is adjusted to 3L for oxygen inhalation, the blood oxygen concentration is 95%; when the oxygen supply flow rate is adjusted to 5L for oxygen inhalation, the blood oxygen concentration is more than 95%. After analysis, you can choose to adjust the oxygen supply flow rate to 3L first; based on this, it can be seen that after the user inhales oxygen, when the blood oxygen concentration in the body is the same, the flow rate should be adjusted to the minimum first, thereby extending the service life of the oxygen generator.

[0032] The system alarm unit is used to send out an audible and visual alarm prompt through the alarm prompt function when the oxygen concentration around the user is detected to be lower than the threshold or when any equipment fails, so as to ensure the timely discovery and handling of potential safety hazards and ensure the safety of the user; the system alarm unit includes: The oxygen monitoring module is used to monitor the oxygen concentration around the user in real time, and preset the oxygen concentration threshold based on the oxygen concentration value required for normal operation of the equipment; specifically, the oxygen concentration in the environment around the oxygen supply equipment is usually between 20%-60%, so 20%-60% can be set as the oxygen concentration threshold; the oxygen concentration around the user is monitored in real time through the oxygen sensor, so as to know whether the oxygen concentration around the current user is normal.

[0033] The oxygen warning module is used to compare the current oxygen concentration with the oxygen concentration threshold to determine whether there is an abnormality in the oxygen concentration in the current environment. If the current oxygen concentration is lower than the oxygen concentration threshold, an audible and visual alarm prompt is issued through the alarm prompt function; specifically, in connection with the above embodiment, if the oxygen concentration threshold is 20%-60%, when the oxygen sensor monitors that the oxygen concentration around the user is lower than 20%, an audible and visual alarm prompt is issued through the alarm prompt function to prompt the user to move to another location in time to ensure the user's safety.

[0034] The equipment early warning module is used to issue an audible and visual alarm prompt through the alarm prompt function when receiving the equipment fault information fed back by the data acquisition unit; specifically, in connection with the above embodiment, such as: the maintenance time of the equipment maintenance module is once every 1 hour, so after it performs the fault maintenance, the fault information can be fed back to the equipment early warning module in time; if it is obtained that the equipment has an operating fault, an audible and visual alarm prompt is issued through the alarm prompt function, thereby reminding the user to repair or replace the oxygen supply equipment in time to avoid affecting normal use, thereby improving the performance of the oxygen supply equipment.

[0035] The safety protection unit is used to build multiple safety protection mechanisms into the system, including overheat protection, overcurrent protection, and short circuit protection, to ensure that the system automatically shuts down in abnormal situations to protect the safety of equipment and users; the safety protection unit includes: The equipment protection module is used to have built-in temperature sensors, current sensors and short-circuit sensors in the system. When the system is running, it is used to monitor the temperature, current and short-circuit faults of the system body in real time, and automatically shut down in the event of overheating, overcurrent or short circuit to protect the safety of the equipment and users. Specifically, the temperature, current and short-circuit conditions of the equipment are monitored in real time through various sensors to determine whether the operating status of the equipment is normal. If any abnormal situation occurs, the shutdown function can be triggered immediately to ensure that the equipment will not be further damaged and increase the service life of the equipment.

[0036] The emergency stop module is an emergency stop button installed on the outside of the system body, which is used to quickly stop the equipment in an emergency. Specifically, by setting the emergency stop button, the equipment can be stopped immediately in an emergency, thereby avoiding further damage to the equipment and at the same time preventing damage to the equipment from causing harm to the user.

[0037] The remote control unit is used to use wireless communication technology or Bluetooth technology to enable users to connect to the system through a mobile phone APP to remotely view and control the working status of the system.

[0038] The beneficial effects achieved by the above content: Through the above operations, it is ensured that users get appropriate oxygen supply in plateau environments, aiming to provide users with safe, stable and efficient oxygen therapy services.

[0039] Working principle: By integrating data collection, intelligent analysis, oxygen supply control, alarm prompts and other functions, it monitors the key parameters such as oxygen concentration, heart rate, blood oxygen saturation around the user in real time, and uses the convolutional neural network model to predict and analyze the current data, so that the system can intelligently adjust the output of the oxygen supply equipment according to the analysis results; secondly, when it detects that the oxygen concentration around the user is lower than the threshold or the equipment fails, an audible and visual alarm prompt is issued; and the system has built-in multiple safety protection mechanisms to ensure that it can automatically shut down under abnormal circumstances. It is also equipped with an emergency stop button to quickly stop the equipment in an emergency, thereby protecting the safety of the equipment and users.

[0040] Further, the sound and light alarm includes: a first prompt mode and a second prompt mode. When the current oxygen concentration is lower than the oxygen concentration threshold, the sound and light alarm prompt is issued according to the first prompt mode through the alarm prompt function. When there is a machine failure in the equipment, the sound and light alarm prompt is issued according to the second prompt mode through the alarm prompt function. When the sound and light alarm prompt is issued according to the first prompt mode through the alarm prompt function, the prompt adjustment is performed during the sound and light alarm prompt process according to the frequency of the sound and light alarm prompt, including: When the current oxygen concentration is lower than the oxygen concentration threshold, an initial intensity prompt is performed according to the first prompt mode, and the prompt frequency is counted at the same time; According to the prompt frequency statistics, the intensity of the sound and light alarm prompt is estimated by the following formula:

[0041] In the above technical solution, Indicates the estimated data of the sound and light alarm intensity at the current frequency. Indicates the initial strength prompt, Indicates the current prompt frequency statistics. Indicates the preset frequency adjustment interval; The sound and light alarm prompt intensity adjustment information is determined based on the sound and light alarm prompt intensity estimation data combined with the current sound and light alarm prompt intensity data;

[0042] In the above technical solution, Indicates the adjustment information of the intensity of the sound and light alarm. No adjustment is required for the current intensity mode. When the sound and light alarm prompt intensity adjustment instruction is called, the sound and light alarm prompt intensity adjustment information is obtained; Indicates the current intensity data of the sound and light alarm prompt. Indicates adjustment of judgment threshold; According to the intensity adjustment information of the sound and light alarm prompt, the intensity of the sound and light alarm prompt is adjusted at the same time as the sound and light alarm prompt.

[0043] The above technical scheme uses the first prompt mode and the second prompt mode to clearly distinguish the reasons for the prompts when the sound and light alarm prompts are issued, so that relevant personnel can more conveniently take countermeasures according to the sound and light alarm prompts, so that when the machine fails, the user can be reminded to promptly repair or replace the oxygen supply equipment to avoid affecting normal use, thereby improving the performance of the oxygen supply equipment, and when the oxygen concentration around the user is low, the user can be prompted to move to another location in time to ensure the safety of the user. Moreover, when the sound and light alarm prompt is issued according to the first mode, the prompt is adjusted during the sound and light alarm prompt process according to the frequency of the sound and light alarm prompt, so that the intensity of the sound and light alarm prompt is gradually increased during the process, thereby preventing the user from ignoring the sound and light alarm prompt, increasing the user's vigilance, and ensuring the user's safety.

[0044] Furthermore, the data storage module stores the collected pressure data, heart rate data and blood oxygen saturation, including: determining user information, and analyzing whether it is necessary to clean up the user database, and obtaining an analysis and judgment result; When the analysis and judgment result shows that the user database needs to be cleaned up, a match is performed in the user database according to the user information to determine whether the stored data of the user exists, and a matching judgment result is obtained. Then, when the matching judgment result shows that the stored data of the user exists, a data information analysis and evaluation is performed on the user database in combination with the matching judgment result to determine the data information to be cleaned up, and the data information to be cleaned up is cleaned up; When the matching judgment result is that there is no storage data for the user, data information analysis and evaluation is directly performed on the user database to determine the data information to be cleared, and a user storage unit is established in the user database based on the user information. Then, when pressure data, heart rate data and blood oxygen saturation are collected, matching storage is performed in the corresponding user storage unit.

[0045] The above technical solution analyzes whether it is necessary to clean up the user database to avoid the impact of too much data information in the user database on the current data information storage. When cleaning according to the analysis and judgment results, it combines the matching judgment results to avoid clearing the data information matching the user during the cleaning process, thereby avoiding the impact on the subsequent update and optimization of the convolutional neural network model using the database information, thereby ensuring the accuracy of the convolutional neural network model's prediction and judgment. At the same time, by analyzing and evaluating the data information on the user database, the cleaned data information has less impact. In addition, user unit storage not only provides convenience for data storage, but also reduces the degree of chaos in the user database, so that the target data can be read efficiently and quickly when reading the information in the user database, providing convenience for reading the user database.

[0046] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0047] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A mobile plateau oxygen therapy intelligent control system, characterized in that: include: The data acquisition unit is a pressure sensor installed on the oxygen inhalation pipeline and a heart rate and blood oxygen saturation monitoring device, which is used to collect the pressure data of the oxygen inhalation pipeline in real time and monitor the heart rate data and blood oxygen saturation of the user in real time; A timing feedback unit is used to pre-set the time node for data feedback of the data acquisition unit during the monitoring process; The system main control unit is used to use the optimized convolutional neural network model to analyze the pressure data of the oxygen inhalation pipeline and the user's heart rate data and blood oxygen saturation data, obtain the user's current oxygen demand, and feed back to the oxygen supply control unit; The oxygen supply control unit is used to control the oxygen output and output time of the oxygen inhalation pipeline and the valve opening or closing operation based on the feedback analysis results, so as to ensure that the user obtains appropriate oxygen supply and complete pulse oxygen supply; The system alarm unit is used to send out audible and visual alarm prompts through the alarm prompt function when it detects that the oxygen concentration around the user is lower than the threshold or that any equipment fails, ensuring that potential safety hazards are discovered and handled in a timely manner.

2. A mobile plateau oxygen therapy intelligent control system according to claim 1, characterized in that: Also includes: Safety protection unit, which is used to build multiple safety protection mechanisms into the system, including overheat protection, overcurrent protection, and short circuit protection, to ensure that the system automatically shuts down in abnormal situations to protect the safety of equipment and users; The remote control unit is used to use wireless communication technology or Bluetooth technology to enable users to connect to the system through a mobile phone APP to remotely view and control the working status of the system.

3. The mobile plateau oxygen therapy intelligent control system according to claim 1 is characterized by: The data acquisition unit comprises: The equipment maintenance module is used to regularly perform maintenance on each monitoring device, determine whether each device has a machine failure, and feed back the cause and location of the failure to the system alarm unit; The data storage module is used to store the collected pressure data, heart rate data and blood oxygen saturation to form a user database‌‌‌‌.

4. The mobile plateau oxygen therapy intelligent control system according to claim 1 is characterized by: The timing feedback unit comprises: A node setting module is used to preset the time nodes for each monitoring device to regularly feed back monitoring data to the system main control unit; The frequency adjustment module is used to adjust the frequency of the original data feedback time node after detecting abnormalities in the user's heart rate or blood oxygen saturation.

5. The mobile plateau oxygen therapy intelligent control system according to claim 1 is characterized by: The system main control unit comprises: The sample acquisition module is used to obtain various monitoring data of historical users and pre-process the data as model training samples; The model training module is used to create a convolutional neural network model and divide the samples into training sets and test sets. The samples are sequentially imported into the convolutional neural network model for training and testing, and the test results are compared and verified with the actual results to obtain the optimized convolutional neural network model. The data prediction module is used to periodically receive the current monitoring data fed back by the data acquisition unit, and import the current monitoring data into the optimized convolutional neural network model for prediction, to obtain the current user's heart rate and blood oxygen saturation status, and feed it back to the user's mobile phone APP for display.

6. The mobile plateau oxygen therapy intelligent control system according to claim 1 is characterized by: The oxygen supply control unit comprises: The strategy formulation module is used to collect historical cases with different causes, formulate corresponding strategy plans according to different causes, and form a strategy database; and create a decision tree classification model to classify each strategy plan and its corresponding cause in the strategy database; The result analysis module is used to read the user result content fed back, and classify and search the causes of the current result content through the decision tree model to obtain the corresponding strategy solutions under the same or similar causes; The instruction execution module is used to execute the strategy selected by the current decision tree model, accurately control the output volume and output time of oxygen and the valve opening or closing operation, and complete pulse oxygen supply.

7. The mobile plateau oxygen therapy intelligent control system according to claim 1 is characterized by: The system alarm unit comprises: The oxygen monitoring module is used to monitor the oxygen concentration around the user in real time and preset the oxygen concentration threshold value based on the oxygen concentration value required for normal operation of the equipment; The oxygen early warning module is used to compare the current oxygen concentration with the oxygen concentration threshold to determine whether there is an abnormality in the oxygen concentration in the current environment. If the current oxygen concentration is lower than the oxygen concentration threshold, an audible and visual alarm is issued through the alarm prompt function; The equipment early warning module is used to issue an audible and visual alarm prompt through the alarm prompt function when receiving equipment failure information fed back by the data acquisition unit.

8. The mobile plateau oxygen therapy intelligent control system according to claim 2 is characterized by: The safety protection unit comprises: The equipment protection module is used to build temperature sensors, current sensors and short-circuit sensors into the system to monitor the temperature, current and short-circuit faults of the system body in real time when the system is running, and automatically shut down the system in the event of overheating, overcurrent or short circuit to protect the safety of equipment and users; The emergency stop module is an emergency stop button installed on the outside of the system body, which is used to quickly stop the equipment operation in an emergency.

9. The mobile plateau oxygen therapy intelligent control system according to claim 7, characterized in that: The sound and light alarm includes: a first prompt mode and a second prompt mode. When the current oxygen concentration is lower than the oxygen concentration threshold, the sound and light alarm prompt is issued according to the first prompt mode through the alarm prompt function. When there is a machine failure in the equipment, the sound and light alarm prompt is issued according to the second prompt mode through the alarm prompt function. When the sound and light alarm prompt is issued according to the first prompt mode through the alarm prompt function, the prompt adjustment is performed in the sound and light alarm prompt process according to the frequency of the sound and light alarm prompt, including: When the current oxygen concentration is lower than the oxygen concentration threshold, an initial intensity prompt is performed according to the first prompt mode, and the prompt frequency is counted at the same time; According to the prompt frequency statistics, the intensity of the sound and light alarm prompt is estimated by the following formula: In the above technical solution, Indicates the estimated data of the sound and light alarm intensity at the current frequency. Indicates the initial strength prompt, Indicates the current prompt frequency statistics. Indicates the preset frequency adjustment interval; The sound and light alarm prompt intensity adjustment information is determined based on the sound and light alarm prompt intensity estimation data combined with the current sound and light alarm prompt intensity data; In the above technical solution, Indicates the adjustment information of the intensity of the sound and light alarm. No adjustment is required for the current intensity mode. When the sound and light alarm prompt intensity adjustment instruction is called, the sound and light alarm prompt intensity adjustment information is obtained; Indicates the current intensity data of the sound and light alarm prompt. Indicates adjustment of judgment threshold; According to the intensity adjustment information of the sound and light alarm prompt, the intensity of the sound and light alarm prompt is adjusted at the same time as the sound and light alarm prompt.

10. The mobile plateau oxygen therapy intelligent control system according to claim 3, characterized in that: The data storage module stores the collected pressure data, heart rate data and blood oxygen saturation, including: Determine user information, analyze whether user database cleanup is necessary, and obtain analysis and judgment results. When the analysis and judgment result shows that the user database needs to be cleaned up, a match is performed in the user database according to the user information to determine whether the stored data of the user exists, and a matching judgment result is obtained. Then, when the matching judgment result shows that the stored data of the user exists, a data information analysis and evaluation is performed on the user database in combination with the matching judgment result to determine the data information to be cleaned up, and the data information to be cleaned up is cleaned up; When the matching judgment result is that there is no storage data for the user, data information analysis and evaluation is directly performed on the user database to determine the data information to be cleared, and a user storage unit is established in the user database based on the user information. Then, when pressure data, heart rate data and blood oxygen saturation are collected, matching storage is performed in the corresponding user storage unit.

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