CN116570808A - Breathing machine pipeline temperature and humidity intelligent regulation method, system and medium - Google Patents
Breathing machine pipeline temperature and humidity intelligent regulation method, system and medium Download PDFInfo
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- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
- A61M16/0003—Accessories therefor, e.g. sensors, vibrators, negative pressure
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- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
- A61M16/10—Preparation of respiratory gases or vapours
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
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- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
- A61M16/0003—Accessories therefor, e.g. sensors, vibrators, negative pressure
- A61M2016/0015—Accessories therefor, e.g. sensors, vibrators, negative pressure inhalation detectors
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Abstract
The application provides a method, a system and a medium for intelligently adjusting the temperature and the humidity of a pipeline of a breathing machine. The method comprises the following steps: obtaining a corresponding breathing machine working mode according to breathing function monitoring data processing, obtaining breathing machine pipeline adjusting parameters according to breathing machine pipeline characteristic data and breathing function monitoring data processing, then carrying out calculation processing according to the environment monitoring characteristic data in combination with the breathing machine pipeline characteristic data and the breathing machine pipeline adjusting parameters to obtain a breathing machine pipeline environment influence index, processing according to the breathing machine pipeline environment influence index in combination with body temperature data and the breathing machine pipeline characteristic data to obtain a temperature and humidity adjusting response parameter corresponding to the breathing machine working mode, and finally adjusting the temperature and humidity gear of the breathing machine according to the temperature and humidity adjusting response parameter so as to achieve the purpose of carrying out intelligent temperature and humidity adjustment on the breathing machine pipeline according to the self requirements of a user.
Description
Technical Field
The application relates to the technical field of big data and respirators, in particular to an intelligent temperature and humidity adjusting method, system and medium for a pipeline of a respirator.
Background
The breathing machine is through carrying the positive pressure of certain level, directly opens the air flue and then realize the function of auxiliary respiration, and when using the breathing machine, the nasal cavity mucosa comes not just to wet all air, consequently heats the humidification with the air current earlier, and then transmit to the respiratory track, just so can reduce the drying of nasal cavity and throat, also can feel more comfortable, however most breathing machines can only carry out the humiture through manual mode and keep in touch with the position and adjust, can't carry out the intelligent regulation of breathing machine humiture according to user's body temperature, respiratory monitoring condition and environment humiture condition.
In view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The application aims to provide a method, a system and a medium for intelligently adjusting the temperature and the humidity of a pipeline of a breathing machine, which can obtain a corresponding working mode of the breathing machine by processing monitoring data of the breathing function,
and the temperature and humidity regulation response parameters are obtained by processing according to the pipeline condition of the breathing machine, the working environment of the breathing machine and the body temperature under the corresponding working mode of the breathing machine, so that the purpose of intelligently regulating the temperature and humidity gear of the breathing machine according to the temperature and humidity regulation response parameters is realized.
The application also provides an intelligent temperature and humidity adjusting method for the pipeline of the breathing machine, which comprises the following steps:
acquiring respiration monitoring information of a user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset respirator function matching database for processing, and acquiring a corresponding respirator working mode;
acquiring corresponding ventilator pipeline information in the ventilator working mode, extracting ventilator pipeline characteristic data according to the ventilator pipeline information, and carrying out identification processing according to the ventilator pipeline characteristic data and the ventilator function monitoring data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters;
collecting environment monitoring information under the working mode of the respirator, and extracting environment monitoring characteristic data according to the environment monitoring information;
calculating according to the environment monitoring characteristic data, the ventilator pipeline characteristic data and the ventilator pipeline adjusting parameters through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index;
acquiring body temperature data of a user in the working mode of the breathing machine, and processing according to the environmental impact index of the breathing machine pipeline, the body temperature data and the characteristic data of the breathing machine pipeline to acquire temperature and humidity regulation response parameters corresponding to the working mode of the breathing machine;
And adjusting the temperature and humidity gear of the breathing machine according to the temperature and humidity adjustment response parameters.
Optionally, in the method for intelligently adjusting temperature and humidity of a ventilator circuit according to the present application, the steps of obtaining respiration monitoring information of a user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset ventilator function matching database for processing, and obtaining a corresponding ventilator working mode include:
acquiring respiration monitoring information of a user;
extracting respiratory function monitoring data according to the respiratory monitoring information, including: blood gas analysis data, lung function detection data, oxygenation index data, and sputum viscosity data;
and inputting the blood gas analysis data, the lung function detection data and the oxygenation index data into a preset ventilator function matching database for processing to obtain a corresponding ventilator working mode.
Optionally, in the method for intelligently adjusting the temperature and humidity of the ventilator circuit according to the present application, the obtaining the corresponding ventilator circuit information in the working mode of the ventilator circuit, extracting ventilator circuit characteristic data according to the ventilator circuit information, and performing recognition processing according to the ventilator circuit characteristic data and the respiratory function monitoring data by a preset ventilator circuit adjustment monitoring model to obtain ventilator circuit adjustment parameters, including:
Acquiring corresponding ventilator pipeline information under the ventilator working mode;
extracting ventilator pipeline characteristic data according to the ventilator pipeline information, wherein the ventilator pipeline characteristic data comprises pipeline condensate water data, pipeline temperature data, pipeline relative humidity data and airflow data;
analyzing and processing the pipeline condensate water data, the pipeline temperature data, the pipeline relative humidity data and the sputum viscosity data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters.
Optionally, in the method for intelligently adjusting the temperature and humidity of a ventilator circuit according to the present application, the collecting environmental monitoring information in the working mode of the ventilator, and extracting environmental monitoring feature data according to the environmental monitoring information, includes:
collecting environment monitoring information under the working mode of the respirator;
and extracting environmental monitoring characteristic data including atmospheric pressure data, air temperature data and air humidity data according to the environmental monitoring information.
Optionally, in the method for intelligently adjusting the temperature and humidity of the ventilator circuit according to the present application, the calculating process is performed by combining the environmental monitoring feature data with the ventilator circuit feature data and the ventilator circuit adjusting parameter through a preset ventilator circuit environmental disturbance prediction model, so as to obtain a ventilator circuit environmental impact index, including:
Obtaining an environmental impact factor according to the environmental monitoring characteristic data;
processing according to the environmental impact factors and the pipeline temperature data and the pipeline relative humidity data to obtain environmental interference coefficients;
and calculating according to the environment interference coefficient and the ventilator pipeline adjusting parameter through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index.
Optionally, in the method for intelligently adjusting the temperature and humidity of the ventilator circuit according to the present application, the acquiring the body temperature data of the user in the working mode of the ventilator circuit, and processing the body temperature data and the ventilator circuit characteristic data according to the environmental impact index of the ventilator circuit, to obtain the temperature and humidity adjustment response parameter corresponding to the working mode of the ventilator, includes:
acquiring body temperature data of a user in the working mode of the respirator;
processing according to the ventilator pipeline environment influence index and combining the body temperature data and the air flow data to obtain temperature and humidity regulation response parameters corresponding to the ventilator working mode;
the program processing formula of the temperature and humidity regulation response parameters is as follows:
；
wherein ,is a response parameter for temperature and humidity regulation, which is->For ventilator circuit environmental impact index, +.>Is body temperature data->For air flow data +.>、/>、/>Is a preset characteristic coefficient.
Optionally, in the method for intelligently adjusting the temperature and humidity of the ventilator circuit according to the present application, the adjusting the temperature and humidity gear of the ventilator according to the temperature and humidity adjustment response parameter includes:
comparing the temperature and humidity regulation response parameter with a preset temperature and humidity regulation response parameter threshold value;
determining a temperature and humidity gear level according to the range level to which the threshold value comparison result belongs;
and carrying out corresponding temperature and humidity gear adjustment on the pipeline of the breathing machine according to the temperature and humidity gear grade.
In a second aspect, the present application provides an intelligent regulation system for temperature and humidity of a ventilator circuit, the system comprising: the intelligent temperature and humidity adjusting device comprises a memory and a processor, wherein the memory comprises a program of an intelligent temperature and humidity adjusting method of a breathing machine pipeline, and the program of the intelligent temperature and humidity adjusting method of the breathing machine pipeline realizes the following steps when being executed by the processor:
acquiring respiration monitoring information of a user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset respirator function matching database for processing, and acquiring a corresponding respirator working mode;
Acquiring corresponding ventilator pipeline information in the ventilator working mode, extracting ventilator pipeline characteristic data according to the ventilator pipeline information, and carrying out identification processing according to the ventilator pipeline characteristic data and the ventilator function monitoring data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters;
collecting environment monitoring information under the working mode of the respirator, and extracting environment monitoring characteristic data according to the environment monitoring information;
calculating according to the environment monitoring characteristic data, the ventilator pipeline characteristic data and the ventilator pipeline adjusting parameters through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index;
acquiring body temperature data of a user in the working mode of the breathing machine, and processing according to the environmental impact index of the breathing machine pipeline, the body temperature data and the characteristic data of the breathing machine pipeline to acquire temperature and humidity regulation response parameters corresponding to the working mode of the breathing machine;
and adjusting the temperature and humidity gear of the breathing machine according to the temperature and humidity adjustment response parameters.
Optionally, in the ventilator circuit temperature and humidity intelligent regulation system of the present application, the obtaining the respiration monitoring information of the user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset ventilator function matching database for processing, and obtaining a corresponding ventilator working mode, including:
Acquiring respiration monitoring information of a user;
extracting respiratory function monitoring data according to the respiratory monitoring information, including: blood gas analysis data, lung function detection data, oxygenation index data, and sputum viscosity data;
and inputting the blood gas analysis data, the lung function detection data and the oxygenation index data into a preset ventilator function matching database for processing to obtain a corresponding ventilator working mode.
In a third aspect, the present application further provides a computer readable storage medium, where the computer readable storage medium includes a ventilator circuit temperature and humidity intelligent regulation method program, where the ventilator circuit temperature and humidity intelligent regulation method program, when executed by a processor, implements the steps of the ventilator circuit temperature and humidity intelligent regulation method according to any one of the above.
According to the intelligent regulation method, system and medium for the temperature and humidity of the ventilator pipeline, the corresponding ventilator working mode is obtained through the processing of the breathing function monitoring data, the ventilator pipeline regulation parameters are obtained according to the processing of the ventilator pipeline characteristic data and the breathing function monitoring data, the calculation processing is carried out according to the environment monitoring characteristic data, the breathing pipeline characteristic data and the ventilator pipeline regulation parameters, the ventilator pipeline environment influence index is obtained, the processing is carried out according to the ventilator pipeline environment influence index, the body temperature data and the ventilator pipeline characteristic data, the temperature and humidity regulation response parameters corresponding to the ventilator working mode are obtained, and finally the temperature and humidity gear of the ventilator is regulated according to the temperature and humidity regulation response parameters, so that the purpose of intelligent temperature and humidity regulation of the ventilator pipeline according to the user needs is achieved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for intelligently adjusting the temperature and humidity of a ventilator circuit according to an embodiment of the present application;
fig. 2 is a flowchart of obtaining a corresponding working mode of a ventilator by using the intelligent regulation method for temperature and humidity of a ventilator pipeline according to an embodiment of the present application;
FIG. 3 is a flowchart of obtaining ventilator circuit adjustment parameters for the ventilator circuit temperature and humidity intelligent adjustment method according to an embodiment of the present application;
Fig. 4 is a schematic structural diagram of an intelligent temperature and humidity adjusting system for a ventilator pipeline according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of a method for intelligently adjusting temperature and humidity of a ventilator circuit according to some embodiments of the present application. The intelligent temperature and humidity adjusting method for the ventilator pipeline is used in terminal equipment, such as a computer terminal, a mobile phone terminal and the like. The intelligent temperature and humidity adjusting method for the ventilator pipeline comprises the following steps of:
s101, acquiring respiration monitoring information of a user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset respirator function matching database for processing, and obtaining a corresponding respirator working mode;
s102, acquiring corresponding ventilator pipeline information in the ventilator working mode, extracting ventilator pipeline characteristic data according to the ventilator pipeline information, and carrying out recognition processing according to the ventilator pipeline characteristic data and the respiratory function monitoring data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters;
s103, collecting environment monitoring information under the working mode of the respirator, and extracting environment monitoring characteristic data according to the environment monitoring information;
s104, calculating according to the environment monitoring characteristic data, the ventilator pipeline characteristic data and the ventilator pipeline adjusting parameters through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index;
S105, acquiring body temperature data of a user in the working mode of the breathing machine, and processing according to the environmental impact index of the breathing machine pipeline in combination with the body temperature data and the characteristic data of the breathing machine pipeline to acquire temperature and humidity regulation response parameters corresponding to the working mode of the breathing machine;
and S106, adjusting the temperature and humidity gear of the breathing machine according to the temperature and humidity adjustment response parameters.
It should be noted that, in order to achieve the purpose of intelligently adjusting the temperature and humidity of the ventilator circuit according to the needs of different users, firstly, respiratory function monitoring information of the users is obtained, respiratory function monitoring data is extracted according to the respiratory function monitoring information, the respiratory function monitoring data is data reflecting the respiratory function of the users, the respiratory function monitoring data is input into a preset ventilator function matching database for processing, corresponding ventilator working modes are obtained, namely, an invasive or noninvasive mode is judged according to the respiratory function situation of the users, corresponding ventilator circuit information in the ventilator working modes is obtained, ventilator circuit characteristic data is extracted according to the ventilator circuit information, the ventilator circuit characteristic data is data reflecting the temperature and humidity situation and the air flow situation of the ventilator circuit, then, identification processing is carried out through a preset ventilator circuit regulation monitoring model according to the ventilator circuit characteristic data and the respiratory function monitoring data, environmental monitoring information in the ventilator working modes is collected, the ventilator circuit characteristic data is extracted according to the environmental monitoring characteristic data, the ventilator circuit characteristic data and the ventilator circuit regulation parameter is combined with the preset ventilator environment interference computer working modes, the temperature and humidity and temperature and humidity of the ventilator circuit is adjusted according to the environmental monitoring characteristic data, the temperature and humidity of the ventilator circuit is obtained, and the temperature and humidity of the ventilator circuit is adjusted according to the corresponding ventilator circuit temperature and humidity and temperature and humidity of the ventilator circuit characteristic data is finally, the temperature and humidity of the ventilator circuit is adjusted according to the ventilator circuit characteristic data is obtained.
Referring to fig. 2, fig. 2 is a flowchart of a method for intelligently adjusting temperature and humidity of a ventilator circuit according to some embodiments of the present application to obtain a corresponding ventilator operation mode. According to the embodiment of the application, the respiration monitoring information extracts respiration function monitoring data, and the respiration function monitoring data is input into a preset respiration machine function matching database for processing, so as to obtain a corresponding respiration machine working mode, which comprises the following specific steps:
s201, acquiring respiration monitoring information of a user;
s202, extracting respiratory function monitoring data according to the respiratory monitoring information, wherein the respiratory function monitoring data comprises: blood gas analysis data, lung function detection data, oxygenation index data, and sputum viscosity data;
s203, inputting the blood gas analysis data, the lung function detection data and the oxygenation index data into a preset ventilator function matching database for processing, and obtaining a corresponding ventilator working mode.
It should be noted that, in order to determine that the ventilator adopts the invasive or noninvasive working mode according to the respiratory function situation of the user, firstly, respiratory monitoring information of the user is obtained, respiratory function monitoring data including blood gas analysis data, lung function detection data, oxygenation index data and sputum viscosity data are extracted according to the respiratory monitoring information, then the blood gas analysis data, the lung function detection data and the oxygenation index data are input into a preset ventilator function matching database for processing, so as to obtain a corresponding ventilator working mode, and the ventilator function matching database can obtain a corresponding ventilator working mode by analyzing and identifying a large amount of collected blood gas analysis data, lung function detection data and oxygenation index data.
Referring to fig. 3, fig. 3 is a flowchart of obtaining ventilator circuit adjustment parameters according to a ventilator circuit temperature and humidity intelligent adjustment method according to some embodiments of the application. According to the embodiment of the application, the corresponding ventilator circuit information in the ventilator working mode is obtained, the ventilator circuit characteristic data is extracted according to the ventilator circuit information, the identification processing is carried out according to the ventilator circuit characteristic data and the respiratory function monitoring data through a preset ventilator circuit regulation monitoring model, and the ventilator circuit regulation parameters are obtained specifically as follows:
s301, acquiring corresponding ventilator pipeline information in the ventilator working mode;
s302, extracting ventilator pipeline characteristic data according to the ventilator pipeline information, wherein the ventilator pipeline characteristic data comprises pipeline condensate water data, pipeline temperature data, pipeline relative humidity data and air flow data;
s303, analyzing and processing the pipeline condensed water data, the pipeline temperature data, the pipeline relative humidity data and the sputum viscosity data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters.
It should be noted that, in order to measure the influence of the existing humiture condition and the condensed water condition in the ventilator pipeline on the temperature and humidity regulation of the ventilator, firstly, corresponding ventilator pipeline information in the working mode of the ventilator is obtained, then, ventilator pipeline characteristic data including pipeline condensed water data, pipeline temperature data, pipeline relative humidity data and air flow data are extracted according to the ventilator pipeline information, finally, the pipeline condensed water data, the pipeline temperature data, the pipeline relative humidity data and the sputum viscosity data are analyzed and processed through a preset ventilator pipeline regulation monitoring model, so as to obtain ventilator pipeline regulation parameters, and the ventilator pipeline regulation monitoring model is a model obtained by training the pipeline condensed water data, the pipeline temperature data, the pipeline relative humidity data, the sputum viscosity data and the ventilator pipeline regulation parameters of a large number of historical samples, and the ventilator pipeline regulation parameters corresponding to output can be obtained through inputting relevant information for processing.
According to the embodiment of the invention, the environment monitoring information under the working mode of the respirator is collected, and the environment monitoring characteristic data is extracted according to the environment monitoring information, specifically:
collecting environment monitoring information under the working mode of the respirator;
and extracting environmental monitoring characteristic data including atmospheric pressure data, air temperature data and air humidity data according to the environmental monitoring information.
In order to measure the influence of the current ambient temperature on the temperature and humidity regulation of the breathing machine, the environment monitoring information under the working mode of the breathing machine is collected first, and environment monitoring characteristic data including atmospheric pressure data, air temperature data and air humidity data are extracted according to the environment monitoring information.
According to the embodiment of the invention, the ventilator circuit environmental impact index is obtained by calculating and processing the environmental monitoring characteristic data in combination with the ventilator circuit characteristic data and the ventilator circuit adjusting parameter through a preset ventilator circuit environmental impact prediction model, specifically:
obtaining an environmental impact factor according to the environmental monitoring characteristic data;
processing according to the environmental impact factors and the pipeline temperature data and the pipeline relative humidity data to obtain environmental interference coefficients;
And calculating according to the environment interference coefficient and the ventilator pipeline adjusting parameter through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index.
It should be noted that, to measure the interference degree of the environmental condition to the temperature and humidity adjustment of the ventilator more accurately, firstly, an environmental impact factor is obtained according to the environmental monitoring characteristic data, then the environmental impact factor is processed according to the environmental impact factor in combination with the pipeline temperature data and the pipeline relative humidity data to obtain an environmental interference coefficient, and finally, the environmental impact index of the pipeline of the ventilator is obtained through calculation processing according to the environmental interference coefficient and the ventilator pipeline adjustment parameter through a preset ventilator pipeline environmental interference prediction model;
the processing calculation formula of the environmental impact factor is as follows:
；
wherein ,is an environmental impact factor, ++>For barometric data, +.>Temperature data, tight>For air humidity data, ">For a preset environmental impact threshold, < >>、/>、/>Is a preset characteristic coefficient (which can be obtained by inquiring a ventilator circuit adjusting parameter database);
the processing calculation formula of the environment interference coefficient is as follows:
；
wherein ,is the environmental interference coefficient- >Is an environmental impact factor, ++>For the line temperature data, < >>For the pipeline relative humidity data, < > for>、/>Is a preset characteristic coefficient (which can be obtained by inquiring a ventilator circuit adjusting parameter database);
the calculation formula of the ventilator pipeline environment influence index is as follows:
；
wherein ,environmental impact finger for ventilator circuitCount (n)/(l)>Is the environmental interference coefficient->Adjusting parameters for the ventilator circuit, +.>Is a preset characteristic coefficient (which can be obtained through inquiring a breathing machine pipeline adjusting parameter database).
According to the embodiment of the invention, the body temperature data of the user in the working mode of the breathing machine is obtained, the body temperature data and the breathing machine pipeline characteristic data are combined according to the environmental impact index of the breathing machine pipeline to be processed, and the temperature and humidity regulation response parameters corresponding to the working mode of the breathing machine are obtained, specifically:
acquiring body temperature data of a user in the working mode of the respirator;
processing according to the ventilator pipeline environment influence index and combining the body temperature data and the air flow data to obtain temperature and humidity regulation response parameters corresponding to the ventilator working mode;
the program processing formula of the temperature and humidity regulation response parameters is as follows:
；
wherein ,is a response parameter for temperature and humidity regulation, which is->For ventilator circuit environmental impact index, +.>Is body temperature data->For air flow data +.>、/>、/>Is a preset characteristic coefficient (which can be obtained through inquiring a breathing machine pipeline adjusting parameter database).
After the ventilator pipeline environment influence index is obtained, the temperature and humidity regulation response parameters corresponding to the ventilator working mode are obtained by processing the temperature and humidity regulation response parameters in combination with the user body temperature data and the ventilator pipeline inner air flow data.
According to the embodiment of the invention, the temperature and humidity gear of the breathing machine is adjusted according to the temperature and humidity adjustment response parameter, specifically:
comparing the temperature and humidity regulation response parameter with a preset temperature and humidity regulation response parameter threshold value;
determining a temperature and humidity gear level according to the range level to which the threshold value comparison result belongs;
and carrying out corresponding temperature and humidity gear adjustment on the pipeline of the breathing machine according to the temperature and humidity gear grade.
It should be noted that, in order to realize automatic adjustment of a temperature and humidity gear of a breathing machine, a temperature and humidity adjustment response parameter is subjected to threshold comparison with a preset temperature and humidity adjustment response parameter threshold, a temperature and humidity gear level is determined according to a range level to which a threshold comparison result belongs, and corresponding temperature and humidity gear adjustment is performed on a breathing machine pipeline according to the temperature and humidity gear level.
According to an embodiment of the present invention, further comprising:
collecting temperature and humidity data of an air suction end of a user;
analyzing and processing the temperature and humidity data to generate a temperature and humidity correction factor;
correcting the temperature and humidity regulation response parameters according to the temperature and humidity correction factors;
and adjusting the temperature and humidity gear of the breathing machine according to the correction result.
It should be noted that, according to the humiture condition of the user inhalation gas, the calculated humiture result is adjusted, and then the purpose of more accurate regulation and control of humiture is realized, at first, the humiture data of the user inhalation end is collected, the humiture data is analyzed and processed to generate a humiture correction factor, then the humiture regulation response parameter is corrected according to the humiture correction factor, and finally the temperature and humidity gear of the breathing machine is adjusted according to the correction result.
According to an embodiment of the present invention, further comprising:
comparing the pipeline condensate water data with a preset pipeline condensate water data threshold value;
if the threshold comparison result does not meet the preset pipeline condensate water threshold comparison requirement, early warning is carried out, and the breathing machine is automatically closed.
It should be noted that, the ventilator easily produces the comdenstion water in the humidification process, brings uncomfortable experience for the user, consequently needs to judge ventilator pipeline comdenstion water condition, carries out the threshold value with pipeline comdenstion water data and presets pipeline comdenstion water data threshold value and compares, if threshold value contrast result does not accord with preset pipeline comdenstion water threshold value contrast requirement, then carries out early warning and automatic shutdown ventilator and carries out the pipeline clearance.
As shown in fig. 4, the invention also discloses a ventilator circuit temperature and humidity intelligent regulation system 4, which comprises a memory 41 and a processor 42, wherein the memory comprises a ventilator circuit temperature and humidity intelligent regulation method program, and the ventilator circuit temperature and humidity intelligent regulation method program realizes the following steps when being executed by the processor:
acquiring respiration monitoring information of a user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset respirator function matching database for processing, and acquiring a corresponding respirator working mode;
acquiring corresponding ventilator pipeline information in the ventilator working mode, extracting ventilator pipeline characteristic data according to the ventilator pipeline information, and carrying out identification processing according to the ventilator pipeline characteristic data and the ventilator function monitoring data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters;
collecting environment monitoring information under the working mode of the respirator, and extracting environment monitoring characteristic data according to the environment monitoring information;
calculating according to the environment monitoring characteristic data, the ventilator pipeline characteristic data and the ventilator pipeline adjusting parameters through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index;
Acquiring body temperature data of a user in the working mode of the breathing machine, and processing according to the environmental impact index of the breathing machine pipeline, the body temperature data and the characteristic data of the breathing machine pipeline to acquire temperature and humidity regulation response parameters corresponding to the working mode of the breathing machine;
and adjusting the temperature and humidity gear of the breathing machine according to the temperature and humidity adjustment response parameters.
It should be noted that, in order to achieve the purpose of intelligently adjusting the temperature and humidity of the ventilator circuit according to the needs of different users, firstly, respiratory function monitoring information of the users is obtained, respiratory function monitoring data is extracted according to the respiratory function monitoring information, the respiratory function monitoring data is data reflecting the respiratory function of the users, the respiratory function monitoring data is input into a preset ventilator function matching database for processing, corresponding ventilator working modes are obtained, namely, an invasive or noninvasive mode is judged according to the respiratory function situation of the users, corresponding ventilator circuit information in the ventilator working modes is obtained, ventilator circuit characteristic data is extracted according to the ventilator circuit information, the ventilator circuit characteristic data is data reflecting the temperature and humidity situation and the air flow situation of the ventilator circuit, then, identification processing is carried out through a preset ventilator circuit regulation monitoring model according to the ventilator circuit characteristic data and the respiratory function monitoring data, environmental monitoring information in the ventilator working modes is collected, the ventilator circuit characteristic data is extracted according to the environmental monitoring characteristic data, the ventilator circuit characteristic data and the ventilator circuit regulation parameter is combined with the preset ventilator environment interference computer working modes, the temperature and humidity and temperature and humidity of the ventilator circuit is adjusted according to the environmental monitoring characteristic data, the temperature and humidity of the ventilator circuit is obtained, and the temperature and humidity of the ventilator circuit is adjusted according to the corresponding ventilator circuit temperature and humidity and temperature and humidity of the ventilator circuit characteristic data is finally, the temperature and humidity of the ventilator circuit is adjusted according to the ventilator circuit characteristic data is obtained.
According to the embodiment of the invention, the respiration monitoring information extracts respiration function monitoring data, and the respiration function monitoring data is input into a preset respiration machine function matching database for processing, so as to obtain a corresponding respiration machine working mode, which comprises the following specific steps:
acquiring respiration monitoring information of a user;
extracting respiratory function monitoring data according to the respiratory monitoring information, including: blood gas analysis data, lung function detection data, oxygenation index data, and sputum viscosity data;
and inputting the blood gas analysis data, the lung function detection data and the oxygenation index data into a preset ventilator function matching database for processing to obtain a corresponding ventilator working mode.
It should be noted that, in order to determine that the ventilator adopts the invasive or noninvasive working mode according to the respiratory function situation of the user, firstly, respiratory monitoring information of the user is obtained, respiratory function monitoring data including blood gas analysis data, lung function detection data, oxygenation index data and sputum viscosity data are extracted according to the respiratory monitoring information, then the blood gas analysis data, the lung function detection data and the oxygenation index data are input into a preset ventilator function matching database for processing, so as to obtain a corresponding ventilator working mode, and the ventilator function matching database can obtain a corresponding ventilator working mode by analyzing and identifying a large amount of collected blood gas analysis data, lung function detection data and oxygenation index data.
According to the embodiment of the invention, the corresponding ventilator circuit information in the ventilator working mode is obtained, the ventilator circuit characteristic data is extracted according to the ventilator circuit information, the identification processing is carried out according to the ventilator circuit characteristic data and the respiratory function monitoring data through a preset ventilator circuit regulation monitoring model, and the ventilator circuit regulation parameters are obtained specifically as follows:
acquiring corresponding ventilator pipeline information under the ventilator working mode;
extracting ventilator pipeline characteristic data according to the ventilator pipeline information, wherein the ventilator pipeline characteristic data comprises pipeline condensate water data, pipeline temperature data, pipeline relative humidity data and airflow data;
analyzing and processing the pipeline condensate water data, the pipeline temperature data, the pipeline relative humidity data and the sputum viscosity data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters.
It should be noted that, in order to measure the influence of the existing humiture condition and the condensed water condition in the ventilator pipeline on the temperature and humidity regulation of the ventilator, firstly, corresponding ventilator pipeline information in the working mode of the ventilator is obtained, then, ventilator pipeline characteristic data including pipeline condensed water data, pipeline temperature data, pipeline relative humidity data and air flow data are extracted according to the ventilator pipeline information, finally, the pipeline condensed water data, the pipeline temperature data, the pipeline relative humidity data and the sputum viscosity data are analyzed and processed through a preset ventilator pipeline regulation monitoring model, so as to obtain ventilator pipeline regulation parameters, and the ventilator pipeline regulation monitoring model is a model obtained by training the pipeline condensed water data, the pipeline temperature data, the pipeline relative humidity data, the sputum viscosity data and the ventilator pipeline regulation parameters of a large number of historical samples, and the ventilator pipeline regulation parameters corresponding to output can be obtained through inputting relevant information for processing.
According to the embodiment of the invention, the environment monitoring information under the working mode of the respirator is collected, and the environment monitoring characteristic data is extracted according to the environment monitoring information, specifically:
collecting environment monitoring information under the working mode of the respirator;
and extracting environmental monitoring characteristic data including atmospheric pressure data, air temperature data and air humidity data according to the environmental monitoring information.
In order to measure the influence of the current ambient temperature on the temperature and humidity regulation of the breathing machine, the environment monitoring information under the working mode of the breathing machine is collected first, and environment monitoring characteristic data including atmospheric pressure data, air temperature data and air humidity data are extracted according to the environment monitoring information.
According to the embodiment of the invention, the ventilator circuit environmental impact index is obtained by calculating and processing the environmental monitoring characteristic data in combination with the ventilator circuit characteristic data and the ventilator circuit adjusting parameter through a preset ventilator circuit environmental impact prediction model, specifically:
obtaining an environmental impact factor according to the environmental monitoring characteristic data;
processing according to the environmental impact factors and the pipeline temperature data and the pipeline relative humidity data to obtain environmental interference coefficients;
And calculating according to the environment interference coefficient and the ventilator pipeline adjusting parameter through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index.
It should be noted that, to measure the interference degree of the environmental condition to the temperature and humidity adjustment of the ventilator more accurately, firstly, an environmental impact factor is obtained according to the environmental monitoring characteristic data, then the environmental impact factor is processed according to the environmental impact factor in combination with the pipeline temperature data and the pipeline relative humidity data to obtain an environmental interference coefficient, and finally, the environmental impact index of the pipeline of the ventilator is obtained through calculation processing according to the environmental interference coefficient and the ventilator pipeline adjustment parameter through a preset ventilator pipeline environmental interference prediction model;
the processing calculation formula of the environmental impact factor is as follows:
；
wherein ,is an environmental impact factor, ++>For barometric data, +.>Temperature data, tight>For air humidity data, ">For a preset environmental impact threshold, < >>、/>、/>Is a preset characteristic coefficient (which can be obtained by inquiring a ventilator circuit adjusting parameter database);
the processing calculation formula of the environment interference coefficient is as follows:
；
wherein ,is the environmental interference coefficient- >Is an environmental impact factor, ++>For the line temperature data, < >>For the pipeline relative humidity data, < > for>、/>Is a preset characteristic coefficient (which can be obtained by inquiring a ventilator circuit adjusting parameter database);
the calculation formula of the ventilator pipeline environment influence index is as follows:
；
wherein ,for ventilator circuit environmental impact index, +.>Is the environmental interference coefficient->Adjusting parameters for the ventilator circuit, +.>Is a preset characteristic coefficient (which can be obtained through inquiring a breathing machine pipeline adjusting parameter database).
According to the embodiment of the invention, the body temperature data of the user in the working mode of the breathing machine is obtained, the body temperature data and the breathing machine pipeline characteristic data are combined according to the environmental impact index of the breathing machine pipeline to be processed, and the temperature and humidity regulation response parameters corresponding to the working mode of the breathing machine are obtained, specifically:
acquiring body temperature data of a user in the working mode of the respirator;
processing according to the ventilator pipeline environment influence index and combining the body temperature data and the air flow data to obtain temperature and humidity regulation response parameters corresponding to the ventilator working mode;
the program processing formula of the temperature and humidity regulation response parameters is as follows:
；
wherein ,is a response parameter for temperature and humidity regulation, which is->For ventilator circuit environmental impact index, +.>Is body temperature data->For air flow data +.>、/>、/>Is a preset characteristic coefficient (which can be obtained through inquiring a breathing machine pipeline adjusting parameter database).
After the ventilator pipeline environment influence index is obtained, the temperature and humidity regulation response parameters corresponding to the ventilator working mode are obtained by processing the temperature and humidity regulation response parameters in combination with the user body temperature data and the ventilator pipeline inner air flow data.
According to the embodiment of the invention, the temperature and humidity gear of the breathing machine is adjusted according to the temperature and humidity adjustment response parameter, specifically:
comparing the temperature and humidity regulation response parameter with a preset temperature and humidity regulation response parameter threshold value;
determining a temperature and humidity gear level according to the range level to which the threshold value comparison result belongs;
and carrying out corresponding temperature and humidity gear adjustment on the pipeline of the breathing machine according to the temperature and humidity gear grade.
It should be noted that, in order to realize automatic adjustment of a temperature and humidity gear of a breathing machine, a temperature and humidity adjustment response parameter is subjected to threshold comparison with a preset temperature and humidity adjustment response parameter threshold, a temperature and humidity gear level is determined according to a range level to which a threshold comparison result belongs, and corresponding temperature and humidity gear adjustment is performed on a breathing machine pipeline according to the temperature and humidity gear level.
According to an embodiment of the present invention, further comprising:
collecting temperature and humidity data of an air suction end of a user;
analyzing and processing the temperature and humidity data to generate a temperature and humidity correction factor;
correcting the temperature and humidity regulation response parameters according to the temperature and humidity correction factors;
and adjusting the temperature and humidity gear of the breathing machine according to the correction result.
It should be noted that, according to the humiture condition of the user inhalation gas, the calculated humiture result is adjusted, and then the purpose of more accurate regulation and control of humiture is realized, at first, the humiture data of the user inhalation end is collected, the humiture data is analyzed and processed to generate a humiture correction factor, then the humiture regulation response parameter is corrected according to the humiture correction factor, and finally the temperature and humidity gear of the breathing machine is adjusted according to the correction result.
According to an embodiment of the present invention, further comprising:
comparing the pipeline condensate water data with a preset pipeline condensate water data threshold value;
if the threshold comparison result does not meet the preset pipeline condensate water threshold comparison requirement, early warning is carried out, and the breathing machine is automatically closed.
It should be noted that, the ventilator easily produces the comdenstion water in the humidification process, brings uncomfortable experience for the user, consequently needs to judge ventilator pipeline comdenstion water condition, carries out the threshold value with pipeline comdenstion water data and presets pipeline comdenstion water data threshold value and compares, if threshold value contrast result does not accord with preset pipeline comdenstion water threshold value contrast requirement, then carries out early warning and automatic shutdown ventilator and carries out the pipeline clearance.
The third aspect of the present invention provides a readable storage medium, where the readable storage medium includes a ventilator circuit temperature and humidity intelligent regulation method program, where the ventilator circuit temperature and humidity intelligent regulation method program, when executed by a processor, implements the steps of the ventilator circuit temperature and humidity intelligent regulation method according to any one of the above-mentioned aspects.
According to the method, the system and the medium for intelligently adjusting the temperature and the humidity of the ventilator pipeline, the corresponding ventilator working mode is obtained through processing of the ventilator function monitoring data, the ventilator pipeline adjusting parameters are obtained according to the ventilator pipeline characteristic data and the ventilator function monitoring data, then the ventilator pipeline environment influence index is obtained through calculation processing according to the environment monitoring characteristic data, the ventilator pipeline characteristic data and the ventilator pipeline adjusting parameters, the ventilator pipeline environment influence index is processed according to the ventilator pipeline environment influence index, the body temperature data and the ventilator pipeline characteristic data, the temperature and humidity adjusting response parameters corresponding to the ventilator working mode are obtained, finally the temperature and the humidity gear of the ventilator is adjusted according to the temperature and humidity adjusting response parameters, and therefore the purpose of intelligently adjusting the temperature and the humidity of the ventilator pipeline according to the requirements of users is achieved.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. An intelligent temperature and humidity adjusting method for a breathing machine pipeline is characterized by comprising the following steps of:
acquiring respiration monitoring information of a user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset respirator function matching database for processing, and acquiring a corresponding respirator working mode;
acquiring corresponding ventilator pipeline information in the ventilator working mode, extracting ventilator pipeline characteristic data according to the ventilator pipeline information, and carrying out identification processing according to the ventilator pipeline characteristic data and the ventilator function monitoring data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters;
collecting environment monitoring information under the working mode of the respirator, and extracting environment monitoring characteristic data according to the environment monitoring information;
calculating according to the environment monitoring characteristic data, the ventilator pipeline characteristic data and the ventilator pipeline adjusting parameters through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index;
acquiring body temperature data of a user in the working mode of the breathing machine, and processing according to the environmental impact index of the breathing machine pipeline, the body temperature data and the characteristic data of the breathing machine pipeline to acquire temperature and humidity regulation response parameters corresponding to the working mode of the breathing machine;
And adjusting the temperature and humidity gear of the breathing machine according to the temperature and humidity adjustment response parameters.
2. The method for intelligently adjusting the temperature and humidity of a ventilator circuit according to claim 1, wherein the steps of obtaining the respiration monitoring information of the user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset ventilator function matching database for processing, and obtaining a corresponding ventilator working mode include:
acquiring respiration monitoring information of a user;
extracting respiratory function monitoring data according to the respiratory monitoring information, including: blood gas analysis data, lung function detection data, oxygenation index data, and sputum viscosity data;
and inputting the blood gas analysis data, the lung function detection data and the oxygenation index data into a preset ventilator function matching database for processing to obtain a corresponding ventilator working mode.
3. The method for intelligently adjusting the temperature and humidity of a ventilator circuit according to claim 2, wherein the steps of obtaining the ventilator circuit information corresponding to the ventilator circuit in the working mode of the ventilator, extracting ventilator circuit characteristic data according to the ventilator circuit information, and performing recognition processing according to the ventilator circuit characteristic data and the respiratory function monitoring data through a preset ventilator circuit adjustment monitoring model to obtain ventilator circuit adjustment parameters comprise:
Acquiring corresponding ventilator pipeline information under the ventilator working mode;
extracting ventilator pipeline characteristic data according to the ventilator pipeline information, wherein the ventilator pipeline characteristic data comprises pipeline condensate water data, pipeline temperature data, pipeline relative humidity data and airflow data;
analyzing and processing the pipeline condensate water data, the pipeline temperature data, the pipeline relative humidity data and the sputum viscosity data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters.
4. The intelligent regulation method of temperature and humidity of a ventilator circuit according to claim 3, wherein the collecting environmental monitoring information in the ventilator operation mode and extracting environmental monitoring feature data according to the environmental monitoring information comprises:
collecting environment monitoring information under the working mode of the respirator;
and extracting environmental monitoring characteristic data including atmospheric pressure data, air temperature data and air humidity data according to the environmental monitoring information.
5. The method for intelligently adjusting the temperature and humidity of a ventilator circuit according to claim 4, wherein the calculating process is performed by combining the environmental monitoring characteristic data with the ventilator circuit characteristic data and the ventilator circuit adjusting parameter through a preset ventilator circuit environmental disturbance prediction model to obtain a ventilator circuit environmental impact index, and the method comprises the following steps:
Obtaining an environmental impact factor according to the environmental monitoring characteristic data;
processing according to the environmental impact factors and the pipeline temperature data and the pipeline relative humidity data to obtain environmental interference coefficients;
and calculating according to the environment interference coefficient and the ventilator pipeline adjusting parameter through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index.
6. The method for intelligently adjusting the temperature and humidity of a ventilator circuit according to claim 5, wherein the acquiring the body temperature data of the user in the ventilator circuit working mode, and processing according to the ventilator circuit environmental impact index in combination with the body temperature data and the ventilator circuit characteristic data, to obtain the temperature and humidity adjustment response parameters corresponding to the ventilator working mode, comprises:
acquiring body temperature data of a user in the working mode of the respirator;
processing according to the ventilator pipeline environment influence index and combining the body temperature data and the air flow data to obtain temperature and humidity regulation response parameters corresponding to the ventilator working mode;
the program processing formula of the temperature and humidity regulation response parameters is as follows:
；
wherein ,is a response parameter for temperature and humidity regulation, which is->For ventilator circuit environmental impact index, +.>Is body temperature data->For air flow data +.>、/>、/>Is a preset characteristic coefficient.
7. The intelligent regulation method of temperature and humidity of a ventilator circuit according to claim 6, wherein the regulating the temperature and humidity gear of the ventilator according to the temperature and humidity regulation response parameter comprises:
comparing the temperature and humidity regulation response parameter with a preset temperature and humidity regulation response parameter threshold value;
determining a temperature and humidity gear level according to the range level to which the threshold value comparison result belongs;
and carrying out corresponding temperature and humidity gear adjustment on the pipeline of the breathing machine according to the temperature and humidity gear grade.
8. An intelligent temperature and humidity adjusting system for a breathing machine pipeline is characterized in that the system comprises: the intelligent temperature and humidity adjusting device comprises a memory and a processor, wherein the memory comprises a program of an intelligent temperature and humidity adjusting method of a breathing machine pipeline, and the program of the intelligent temperature and humidity adjusting method of the breathing machine pipeline realizes the following steps when being executed by the processor:
acquiring respiration monitoring information of a user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset respirator function matching database for processing, and acquiring a corresponding respirator working mode;
Acquiring corresponding ventilator pipeline information in the ventilator working mode, extracting ventilator pipeline characteristic data according to the ventilator pipeline information, and carrying out identification processing according to the ventilator pipeline characteristic data and the ventilator function monitoring data through a preset ventilator pipeline regulation monitoring model to obtain ventilator pipeline regulation parameters;
collecting environment monitoring information under the working mode of the respirator, and extracting environment monitoring characteristic data according to the environment monitoring information;
calculating according to the environment monitoring characteristic data, the ventilator pipeline characteristic data and the ventilator pipeline adjusting parameters through a preset ventilator pipeline environment interference prediction model to obtain a ventilator pipeline environment influence index;
acquiring body temperature data of a user in the working mode of the breathing machine, and processing according to the environmental impact index of the breathing machine pipeline, the body temperature data and the characteristic data of the breathing machine pipeline to acquire temperature and humidity regulation response parameters corresponding to the working mode of the breathing machine;
and adjusting the temperature and humidity gear of the breathing machine according to the temperature and humidity adjustment response parameters.
9. The intelligent ventilator circuit temperature and humidity adjustment system according to claim 8, wherein the acquiring the respiration monitoring information of the user, extracting respiration function monitoring data according to the respiration monitoring information, inputting the respiration function monitoring data into a preset ventilator function matching database for processing, and obtaining a corresponding ventilator working mode, comprises:
Acquiring respiration monitoring information of a user;
extracting respiratory function monitoring data according to the respiratory monitoring information, including: blood gas analysis data, lung function detection data, oxygenation index data, and sputum viscosity data;
and inputting the blood gas analysis data, the lung function detection data and the oxygenation index data into a preset ventilator function matching database for processing to obtain a corresponding ventilator working mode.
10. A computer readable storage medium, wherein the computer readable storage medium includes a ventilator circuit temperature and humidity intelligent regulation method program, and when the ventilator circuit temperature and humidity intelligent regulation method program is executed by a processor, the steps of the ventilator circuit temperature and humidity intelligent regulation method according to any one of claims 1 to 7 are implemented.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110197888A1 (en) * | 2008-10-24 | 2011-08-18 | Hospitech Respiration Ltd. Matalon Center Building Wing-A 3rd floor | Method and system for ventilation |
| CN105251088A (en) * | 2015-10-19 | 2016-01-20 | 广州弘凯物联网服务有限公司 | Treatment quality management method of breathing machine and system thereof |
| US20200001037A1 (en) * | 2016-07-22 | 2020-01-02 | Fisher & Paykel Healthcare Limited | Sensing for respiratory circuits |
| WO2021135480A1 (en) * | 2019-12-31 | 2021-07-08 | 湖南明康中锦医疗科技发展有限公司 | Respiratory support device heating tube temperature control system and method, and respiratory support device |
| CN113304367A (en) * | 2021-06-02 | 2021-08-27 | 湖南比扬医疗科技有限公司 | Temperature and humidity adjusting method and high-flow respiratory humidification therapeutic apparatus applying same |
| CN113332548A (en) * | 2021-04-16 | 2021-09-03 | 深圳先进技术研究院 | Method and device for adjusting ventilation mode of breathing machine and computer readable storage medium |
| CN114901335A (en) * | 2019-10-31 | 2022-08-12 | 瑞思迈传感器技术有限公司 | Systems, methods, and apparatus for intelligent humidification |
| KR102517518B1 (en) * | 2022-07-29 | 2023-04-05 | (주) 멕아이씨에스 | Breathing circuit system inculding medical humidifier and method for controlling humidification thereof |
-
2023
- 2023-07-12 CN CN202310850721.0A patent/CN116570808B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110197888A1 (en) * | 2008-10-24 | 2011-08-18 | Hospitech Respiration Ltd. Matalon Center Building Wing-A 3rd floor | Method and system for ventilation |
| CN105251088A (en) * | 2015-10-19 | 2016-01-20 | 广州弘凯物联网服务有限公司 | Treatment quality management method of breathing machine and system thereof |
| US20200001037A1 (en) * | 2016-07-22 | 2020-01-02 | Fisher & Paykel Healthcare Limited | Sensing for respiratory circuits |
| CN114901335A (en) * | 2019-10-31 | 2022-08-12 | 瑞思迈传感器技术有限公司 | Systems, methods, and apparatus for intelligent humidification |
| WO2021135480A1 (en) * | 2019-12-31 | 2021-07-08 | 湖南明康中锦医疗科技发展有限公司 | Respiratory support device heating tube temperature control system and method, and respiratory support device |
| CN113332548A (en) * | 2021-04-16 | 2021-09-03 | 深圳先进技术研究院 | Method and device for adjusting ventilation mode of breathing machine and computer readable storage medium |
| CN113304367A (en) * | 2021-06-02 | 2021-08-27 | 湖南比扬医疗科技有限公司 | Temperature and humidity adjusting method and high-flow respiratory humidification therapeutic apparatus applying same |
| KR102517518B1 (en) * | 2022-07-29 | 2023-04-05 | (주) 멕아이씨에스 | Breathing circuit system inculding medical humidifier and method for controlling humidification thereof |
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