Intelligent control medical gas alarm system and method

Abstract

The application discloses a kind of intelligent control's medical gas alarm system and method, it is related to medical technical field, including selection entry module, gas acquisition module, gas processing module, gas analysis module, early warning module and control center, oxygen related data and anesthetic gas related data are obtained by gas acquisition module, then oxygen related data and anesthetic gas related data are carried out coefficient calculation by gas processing module, oxygen coefficient and anesthetic gas coefficient are obtained by gas analysis module, and gas analysis is carried out, according to analysis judgment result, whether oxygen or anesthetic gas exists problem is determined, then early warning module carries out early warning processing to the gas with problem, to be able to realize detection evaluation to medical gas according to different application conditions, and carry out early warning prompt function.

Description

TECHNICAL FIELD

[0001] The present application relates to the medical technology field, in particular to an intelligent control medical gas alarm system and method. BACKGROUND

[0002] The diversity of medical gas applications also determines the complexity and diversity of detection and measurement techniques. There are many applications of gas in medical diagnosis and treatment, including anesthesia, respiratory therapy, oxygen therapy, gas purification, pathological diagnosis, etc. For different applications, different measurements and detections of gas flow, concentration, pressure, temperature and other parameters are required. The prior art does not have a method and means for comprehensive detection and evaluation of all gas parameters, which may cause some problems in the application of gas. SUMMARY

[0003] To solve the problems mentioned in the background, the purpose of the present application is to provide an intelligent control medical gas alarm system and method, which can detect and evaluate medical gas according to different application conditions and provide early warning.

[0004] In the first aspect, the purpose of the present application can be achieved by the following technical scheme: an intelligent control medical gas alarm system, comprising:

[0005] A gas collection module is used to collect oxygen-related data and anesthetic gas-related data respectively, and send the oxygen-related data and anesthetic gas-related data to a gas processing module for processing, wherein the oxygen-related data includes oxygen flow, oxygen concentration and oxygen pressure; the anesthetic gas-related data includes anesthetic gas flow, anesthetic gas concentration and anesthetic gas pressure;

[0006] A gas processing module is used to preprocess the oxygen-related data and anesthetic gas-related data to obtain oxygen-related processing data and anesthetic gas-related processing data, and label the oxygen-related processing data and anesthetic gas-related processing data, use the labeled oxygen-related processing data to calculate the oxygen coefficient, use the labeled anesthetic gas-related processing data to calculate the anesthetic gas coefficient, and send the oxygen coefficient and anesthetic gas coefficient to a gas analysis module;

[0007] A selection entry module is used to receive the user's selected medical application type, and send an application type signal to the gas analysis module according to the user's selected medical application type, wherein the application type signal includes an oxygen therapy application signal and an anesthetic application signal;

[0008] The gas analysis module is configured to perform gas analysis according to the application type after receiving the application type signal sent by the selection input module, collect the physical data of the oxygen user after receiving the oxygen therapy application signal, and calculate an oxygen comprehensive coefficient by comprehensively judging the received oxygen coefficient and the physical data of the oxygen user, obtain a standard oxygen comprehensive coefficient in the control center, compare the oxygen comprehensive coefficient with the standard oxygen comprehensive coefficient, and determine whether there is a problem in the use of oxygen according to the comparison result, and send a corresponding oxygen problem signal to the early warning module if there is a problem.

[0009] The gas analysis module is configured to perform gas analysis according to the application type after receiving the application type signal sent by the selection input module, collect the physical data of the oxygen user after receiving the oxygen therapy application signal, and calculate an oxygen comprehensive coefficient by comprehensively judging the received oxygen coefficient and the physical data of the oxygen user, obtain a standard oxygen comprehensive coefficient in the control center, compare the oxygen comprehensive coefficient with the standard oxygen comprehensive coefficient, and determine whether there is a problem in the use of oxygen according to the comparison result, and send a corresponding oxygen problem signal to the early warning module if there is a problem.

[0010] The early warning module is configured to prompt medical staff to adjust the oxygen or the anesthetic gas through voice early warning according to the received oxygen problem signal or the anesthetic problem signal.

[0011] In combination with the first aspect, in some implementations of the first aspect, the system further includes that the data processing module has the following labeling process:

[0012] The oxygen flow is marked as Yi, the oxygen concentration is marked as Ni, the oxygen pressure is marked as Li, the anesthetic gas flow is marked as Mj, the anesthetic gas concentration is marked as Qj, and the anesthetic gas pressure is marked as Zj, wherein i is a number label of the number of times of collecting oxygen-related data by the gas collection module, i = 1, 2, 3, …, n, n is the total number of times of collecting oxygen-related data by the gas collection module, j is a number label of the number of times of collecting anesthetic gas-related data by the gas collection module, and j = 1, 2, 3, …, m, m is the total number of times of collecting anesthetic gas-related data by the gas collection module.

[0013] In combination with the first aspect, in some implementations of the first aspect, the system further includes that the data processing module uses the labeled oxygen-related processing data to calculate a coefficient:

[0014] The oxygen coefficient Yqi is calculated by using the formula , wherein K1 is an oxygen flow-related coefficient, K2 is an oxygen concentration-related coefficient, K3 is an oxygen pressure-related coefficient, and a is a preset proportion coefficient.

[0015] The anesthetic gas-related data is labeled, and a coefficient is calculated:

[0016] The anesthetic gas coefficient Yqj is calculated by using the formula The calculated anesthetic gas coefficient Mzj is given by the formula, where T1 is the correlation coefficient of anesthetic gas flow rate, T2 is the correlation coefficient of anesthetic gas concentration, T3 is the correlation coefficient of anesthetic gas pressure, and b is the preset correlation coefficient.

[0017] In conjunction with the first aspect, in some implementations of the first aspect, the system further includes: after receiving the oxygen therapy application signal sent by the selection and input module, the gas analysis module analyzes the oxygen coefficient Yqi:

[0018] Collect relevant physical information of oxygen users and label it as oxygen user physical data, and label oxygen user physical data as Sti;

[0019] The oxygen coefficient Yqi is combined with the oxygen user's physical data Sti for comprehensive judgment and calculation:

[0020] Using formula The oxygen comprehensive coefficient Hyi was calculated.

[0021] Obtain the standard oxygen comprehensive coefficient Hy0 within the control center; compare the oxygen comprehensive coefficient Hyi with the standard oxygen comprehensive coefficient Hy0. If Hyi ≥ Hy0, no action is required; if Hyi < Hy0, it indicates that the oxygen usage does not meet the user's standards, and when... When, send an oxygen flow rate and concentration problem signal to the early warning module; when At that time, an oxygen pressure problem signal is sent to the early warning module.

[0022] In conjunction with the first aspect, in some implementations of the first aspect, the system further includes: after receiving the anesthesia application signal sent by the selection and input module, the gas analysis module performs gas analysis on the anesthetic gas coefficient Mzj.

[0023] Collect relevant physical information of anesthesia users and label it as anesthesia user physical data, and label the anesthesia user physical data as Rtj;

[0024] A comprehensive assessment and calculation is performed using the anesthetic gas coefficient Mzj and the anesthetized patient's physical data Rtj.

[0025] Using formula The comprehensive coefficient of anesthetic gas, Hmj, was calculated.

[0026] Obtain the comprehensive coefficient threshold Hm0 of anesthetic gas in the control center, compare the comprehensive coefficient Hmj of anesthetic gas with the comprehensive coefficient threshold Hm0. If Hmj > Hm0, send an anesthetic gas flow concentration warning signal to the warning module. If Hmj ≤ Hm0, no operation is required.

[0027] In conjunction with the first aspect, in some implementations of the first aspect, the system further includes: after receiving an oxygen flow concentration problem signal, the early warning module provides a voice warning to medical staff that there is a problem with the oxygen flow concentration; after receiving an oxygen pressure problem signal, the early warning module provides a voice warning to medical staff that there is a problem with the oxygen pressure; after receiving an anesthetic gas flow concentration warning signal, the early warning module provides a voice warning to medical staff that the use of anesthetic gas exceeds the user's tolerance level for anesthesia and that the anesthetic gas flow concentration needs to be adjusted.

[0028] In conjunction with the first aspect, in some implementations of the first aspect, the system further includes: the control center is used to acquire the oxygen coefficient and anesthetic gas coefficient obtained after each gas processing module, and integrate the oxygen coefficient and anesthetic gas coefficient to generate an oxygen dataset and an anesthetic gas dataset, respectively, and use the oxygen dataset to calculate the standard oxygen comprehensive coefficient by means of the mean, and use the anesthetic gas dataset to calculate the threshold of the anesthetic gas comprehensive coefficient by means of the mean.

[0029] Secondly, in order to achieve the above objectives, this invention discloses an intelligent control method for medical gas alarms, the method comprising the following steps:

[0030] Obtain oxygen-related data and anesthetic gas-related data, label the oxygen-related data and anesthetic gas-related data, calculate the coefficients of the labeled oxygen-related data and anesthetic gas-related data respectively, and obtain the oxygen coefficient and anesthetic gas coefficient.

[0031] The oxygen-related data includes oxygen flow rate, oxygen concentration, and oxygen pressure; the anesthetic gas-related data includes anesthetic gas flow rate, anesthetic gas concentration, and anesthetic gas pressure.

[0032] Gas analysis is performed based on the type of medical application selected by the user. If it is an oxygen therapy application, the body data of the oxygen user is obtained. The oxygen coefficient is calculated by combining the oxygen coefficient and the body data of the oxygen user. A standard oxygen coefficient is set and compared with the standard oxygen coefficient. Based on the comparison results, it is judged whether there is a problem with the use of oxygen and a warning is issued based on the judgment results.

[0033] If it is for anesthesia, the body data of the anesthetic gas user is obtained, and the comprehensive coefficient of the anesthetic gas is calculated by combining the anesthetic gas coefficient with the body data of the anesthetic gas user. A threshold for the comprehensive coefficient of the anesthetic gas is set, and the comprehensive coefficient of the anesthetic gas is compared with the threshold. Based on the comparison results, it is judged whether there is a problem with the use of the anesthetic gas, and a warning is issued based on the judgment results.

[0034] The beneficial effects of this invention are:

[0035] This invention acquires oxygen-related data and anesthetic gas-related data, calculates coefficients for these data, and performs gas analysis using the obtained oxygen and anesthetic gas coefficients. Based on the analysis results, it determines whether there are any problems with the oxygen or anesthetic gas, and then provides early warning for problematic gases. This enables the detection and evaluation of medical gases and the provision of early warnings based on different application scenarios. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a schematic diagram of the method flow of the present invention;

[0038] Figure 2 This is a schematic diagram of the system of the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] Example 1:

[0041] The following is a description of the relevant terms used in the embodiments of this application:

[0042] Gas detectors: Gas detectors are instruments used to detect the concentration of leaked gases. These include portable gas detectors, handheld gas detectors, stationary gas detectors, and online gas detectors. They primarily utilize gas sensors to detect the types of gases present in the environment. Gas sensors are used to detect the composition and concentration of gases.

[0043] Generally, the definition of a gas sensor is based on the target of detection. That is, any sensor used to detect the composition and concentration of a gas is called a gas sensor, regardless of whether it uses physical or chemical methods. For example, a sensor that detects gas flow rate is not considered a gas sensor, but a thermal conductivity gas analyzer is an important type of gas sensor, even though they sometimes use largely the same detection principle.

[0044] Threshold: Threshold means limit or limit, hence it is also called critical value. It refers to the lowest or highest value at which an effect can be produced. This term is widely used in various fields, including architecture, biology, aviation, chemistry, telecommunications, electrical engineering, and psychology, such as ecological threshold.

[0045] like Figure 1 As shown, an intelligent control medical gas alarm system includes:

[0046] Select the input module, gas acquisition module, gas processing module, gas analysis module, early warning module, and control center;

[0047] The gas acquisition module is used to acquire oxygen-related data and anesthetic gas-related data respectively;

[0048] It should be further noted that the oxygen-related data includes oxygen flow rate, oxygen concentration, and oxygen pressure; the anesthetic gas-related data includes anesthetic gas flow rate, anesthetic gas concentration, and anesthetic gas pressure.

[0049] It should also be noted that the anesthetic gas includes inhaled anesthetics such as fluorinated ether and diethyl ether.

[0050] Specifically, the present invention will be further illustrated below through embodiments:

[0051] The process for collecting the oxygen-related data is as follows:

[0052] The oxygen flow rate and anesthetic gas flow rate are detected and collected by a gas pressure and flow meter, the oxygen pressure and anesthetic gas pressure are detected and collected by a gas pressure and flow meter, and the oxygen concentration and anesthetic gas concentration are detected and collected by a gas concentration meter.

[0053] In this embodiment, both the gas pressure and flow detector and the gas concentration detector are gas detectors. The gas detector can be a portable gas detector, a handheld gas detector, a fixed gas detector, or an online gas detector. This solution uses a handheld gas detector. The advantage of using a handheld gas detector is that it can be used by medical staff, which is convenient and quick, making the data collection process more convenient.

[0054] The gas acquisition module sends the acquired oxygen-related data and anesthetic gas-related data to the gas processing module for processing;

[0055] The gas processing module is used to process oxygen-related data and anesthetic gas-related data. Specifically, the processing procedure of the gas processing module includes the following steps:

[0056] Data preprocessing is performed on oxygen-related data and anesthetic gas-related data. In this embodiment, the purpose of data preprocessing is to standardize the data format, remove abnormal data, correct errors, and remove duplicate data; thus obtaining oxygen-related processed data and anesthetic gas-related processed data.

[0057] Data annotations were performed on oxygen-related processing data and anesthetic gas-related processing data. Specifically, oxygen flow rate was labeled as Yi, oxygen concentration as Ni, and oxygen pressure as Li. Anesthetic gas flow rate was labeled as Mj, anesthetic gas concentration as Qj, and anesthetic gas pressure as Zj. Here, i represents the number of times the gas acquisition module collected oxygen-related data, i = 1, 2, 3, ..., n, where n is the total number of times the gas acquisition module collected oxygen-related data. j represents the number of times the gas acquisition module collected anesthetic gas-related data, j = 1, 2, 3, ..., m, where m is the total number of times the gas acquisition module collected anesthetic gas-related data.

[0058] Coefficients were calculated using labeled oxygen-related processing data:

[0059] Specifically, using formulas The oxygen coefficient Yqi is calculated, where K1 is the oxygen flow rate correlation coefficient, K2 is the oxygen concentration correlation coefficient, K3 is the oxygen pressure correlation coefficient, and a is the preset proportional coefficient.

[0060] Coefficients were calculated using the labeled data on anesthetic gases.

[0061] Specifically, using formulas The calculated anesthetic gas coefficient Mzj is given by the formula, where T1 is the correlation coefficient of anesthetic gas flow rate, T2 is the correlation coefficient of anesthetic gas concentration, T3 is the correlation coefficient of anesthetic gas pressure, and b is the preset correlation coefficient.

[0062] The calculated oxygen coefficient Yqi and anesthetic gas coefficient Mzj are sent to the gas analysis module;

[0063] The selection and input module is used to receive the medical application type selected by the user, and send the application type signal to the gas analysis module according to the medical application type selected by the user.

[0064] In this embodiment, the selection and input module uses a touch screen. The user selects the application type by touching the touch screen, and the selection and input module generates a corresponding application type signal based on the application type.

[0065] It should be further explained that, in the specific implementation process, the medical application type selected by the user includes: oxygen therapy application and anesthesia application; therefore, in this application, the application type signal sent by the selection and input module includes oxygen therapy application signal and anesthesia application signal.

[0066] After receiving the application type signal from the selection and input module, the gas analysis module selects to analyze either the oxygen coefficient Yqi or the anesthetic gas coefficient Mzj sent by the gas processing module, based on the application type signal. Specifically, the analysis process of the gas analysis module includes the following steps:

[0067] After the gas analysis module receives the oxygen therapy application signal sent by the selection and input module, it analyzes the oxygen coefficient Yqi:

[0068] Collect relevant physical information of oxygen users and label it as oxygen user physical data, and label oxygen user physical data as Sti;

[0069] The oxygen coefficient Yqi is combined with the oxygen user's physical data Sti for comprehensive judgment and calculation:

[0070] Using formula The oxygen comprehensive coefficient Hyi was calculated.

[0071] Obtain the standard oxygen comprehensive coefficient Hy0 within the control center; compare the oxygen comprehensive coefficient Hyi with the standard oxygen comprehensive coefficient Hy0. If Hyi ≥ Hy0, it indicates that the oxygen usage meets the user's standards and no action is required; if Hyi < Hy0, it indicates that the oxygen usage does not meet the user's standards, and when... When a problem is detected with oxygen flow rate and concentration, the gas analysis module sends an oxygen flow rate and concentration problem signal to the early warning module; when When an oxygen pressure problem is detected, the gas analysis module sends an oxygen pressure problem signal to the early warning module.

[0072] After the gas analysis module receives the anesthesia application signal sent by the selection and input module, it performs gas analysis on the anesthetic gas coefficient Mzj:

[0073] Collect relevant physical information of anesthesia users and label it as anesthesia user physical data, and label the anesthesia user physical data as Rtj;

[0074] A comprehensive assessment and calculation is performed using the anesthetic gas coefficient Mzj and the anesthetized patient's physical data Rtj.

[0075] Using formula The comprehensive coefficient of anesthetic gas, Hmj, was calculated.

[0076] The comprehensive coefficient threshold Hm0 of anesthetic gas in the control center is obtained. The comprehensive coefficient Hmj of anesthetic gas is compared with the comprehensive coefficient threshold Hm0. If Hmj > Hm0, it means that the use of anesthetic gas exceeds the standard for the user to bear anesthesia. The gas analysis module sends an anesthetic gas flow rate and concentration warning signal to the warning module. If Hmj ≤ Hm0, it means that the use of anesthetic gas does not exceed the standard for the user to bear anesthesia dose, and no action is required.

[0077] Upon receiving an oxygen flow rate concentration problem signal from the gas analysis module, the early warning module will issue a voice warning to medical staff indicating a problem with the oxygen flow rate concentration. Similarly, upon receiving an oxygen pressure problem signal from the gas analysis module, the early warning module will issue a voice warning to medical staff indicating a problem with the oxygen pressure. Furthermore, upon receiving an anesthetic gas flow rate concentration warning signal from the gas analysis module, the early warning module will issue a voice warning to medical staff indicating that the use of anesthetic gas exceeds the user's tolerance level and that the anesthetic gas flow rate concentration needs to be adjusted.

[0078] The control center is used to acquire the oxygen coefficient and anesthetic gas coefficient obtained after each gas processing module, and integrate the oxygen coefficient and anesthetic gas coefficient to generate oxygen dataset and anesthetic gas dataset respectively. The standard oxygen comprehensive coefficient is calculated by means of the oxygen dataset, and the threshold of the anesthetic gas comprehensive coefficient is calculated by means of the anesthetic gas dataset.

[0079] Example 2: Second aspect, such as Figure 2 As shown, a smart control method for medical gas alarms includes the following steps:

[0080] Obtain oxygen-related data and anesthetic gas-related data, label the oxygen-related data and anesthetic gas-related data, calculate the coefficients of the labeled oxygen-related data and anesthetic gas-related data respectively, and obtain the oxygen coefficient and anesthetic gas coefficient.

[0081] The oxygen-related data includes oxygen flow rate, oxygen concentration, and oxygen pressure; the anesthetic gas-related data includes anesthetic gas flow rate, anesthetic gas concentration, and anesthetic gas pressure.

[0082] Gas analysis is performed based on the type of medical application selected by the user. If it is an oxygen therapy application, the body data of the oxygen user is obtained. The oxygen coefficient is calculated by combining the oxygen coefficient and the body data of the oxygen user. A standard oxygen coefficient is set and compared with the standard oxygen coefficient. Based on the comparison results, it is judged whether there is a problem with the use of oxygen and a warning is issued based on the judgment results.

[0083] If it is for anesthesia, the body data of the anesthetic gas user is obtained, and the comprehensive coefficient of the anesthetic gas is calculated by combining the anesthetic gas coefficient with the body data of the anesthetic gas user. A threshold for the comprehensive coefficient of the anesthetic gas is set, and the comprehensive coefficient of the anesthetic gas is compared with the threshold. Based on the comparison results, it is judged whether there is a problem with the use of the anesthetic gas, and a warning is issued based on the judgment results.

[0084] Based on the same inventive concept, this invention also provides a computer device, comprising: one or more processors, and a memory for storing one or more computer programs; the programs include program instructions, and the processor executes the program instructions stored in the memory. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, used to implement one or more instructions, specifically for loading and executing one or more instructions stored in a computer storage medium to implement the above-described method.

[0085] It should be further explained that, based on the same inventive concept, the present invention also provides a computer storage medium storing a computer program, which, when executed by a processor, performs the above-described method. This storage medium can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0086] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0087] The foregoing has shown and described the basic principles, main features, and advantages of this disclosure. Those skilled in the art should understand that this disclosure is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of this disclosure. Various changes and modifications can be made to this disclosure without departing from its spirit and scope, and all such changes and modifications fall within the scope of this disclosure as claimed.

Claims

1. A smart-controlled medical gas alarm system, characterized in that, include: The gas acquisition module is used to acquire oxygen-related data and anesthetic gas-related data respectively, and send the oxygen-related data and anesthetic gas-related data to the gas processing module for processing. The oxygen-related data includes oxygen flow rate, oxygen concentration and oxygen pressure; the anesthetic gas-related data includes anesthetic gas flow rate, anesthetic gas concentration and anesthetic gas pressure. The gas processing module is used to preprocess oxygen-related data and anesthetic gas-related data to obtain oxygen-related processed data and anesthetic gas-related processed data. The oxygen-related processed data and anesthetic gas-related processed data are labeled. The labeled oxygen-related processed data are used to calculate the coefficient to obtain the oxygen coefficient. The labeled anesthetic gas-related processed data are used to calculate the coefficient to obtain the anesthetic gas coefficient. The oxygen coefficient and anesthetic gas coefficient are sent to the gas analysis module. The selection input module is used to receive the medical application type selected by the user and send the application type signal to the gas analysis module according to the medical application type selected by the user. The application type signal includes oxygen therapy application signal and anesthesia application signal. The gas analysis module is used to perform gas analysis according to the application type after receiving the application type signal sent by the selection and input module. When the oxygen therapy application signal is received, the module collects the oxygen user's body data, calculates the comprehensive oxygen coefficient by combining the received oxygen coefficient with the oxygen user's body data, obtains the standard comprehensive oxygen coefficient in the control center, compares the comprehensive oxygen coefficient with the standard comprehensive oxygen coefficient, and judges whether there is a problem with oxygen use based on the comparison result. If there is a problem, the module sends the corresponding oxygen problem signal to the early warning module. Upon receiving an anesthesia application signal, the system collects the anesthesia user's physical data, calculates the comprehensive anesthesia gas coefficient by combining the anesthesia gas coefficient with the anesthesia user's physical data, obtains the comprehensive anesthesia gas coefficient threshold in the control center, compares the comprehensive anesthesia gas coefficient with the comprehensive anesthesia gas threshold, and checks whether there is a problem with the use of the anesthesia gas based on the comparison results. If there is a problem, an anesthesia problem signal is sent to the early warning module. The early warning module, based on received oxygen or anesthesia problem signals, prompts medical staff to adjust the oxygen or anesthetic gas through voice alerts.

2. The intelligent control medical gas alarm system according to claim 1, characterized in that, The labeling process for the gas processing module is as follows: Oxygen flow rate is labeled Yi, oxygen concentration is labeled Ni, oxygen pressure is labeled Li, anesthetic gas flow rate is labeled Mj, anesthetic gas concentration is labeled Qj, and anesthetic gas pressure is labeled Zj. Here, i represents the number of times the gas acquisition module collects oxygen-related data, i = 1, 2, 3, ..., n, where n is the total number of times the gas acquisition module collects oxygen-related data, and j represents the number of times the gas acquisition module collects anesthetic gas-related data, j = 1, 2, 3, ..., m, where m is the total number of times the gas acquisition module collects anesthetic gas-related data.

3. The intelligent control medical gas alarm system according to claim 2, characterized in that, The gas processing module uses the labeled oxygen-related processing data to calculate coefficients: Using formula The oxygen coefficient Yqi is calculated, where K1 is the oxygen flow rate correlation coefficient, K2 is the oxygen concentration correlation coefficient, K3 is the oxygen pressure correlation coefficient, and a is the preset proportional coefficient. Coefficients were calculated using the labeled data on anesthetic gases. Using formula The calculated anesthetic gas coefficient Mzj is given by the formula, where T1 is the correlation coefficient of anesthetic gas flow rate, T2 is the correlation coefficient of anesthetic gas concentration, T3 is the correlation coefficient of anesthetic gas pressure, and b is the preset correlation coefficient.

4. The intelligent control medical gas alarm system according to claim 3, characterized in that, After receiving the oxygen therapy application signal sent by the selection and input module, the gas analysis module analyzes the oxygen coefficient Yqi: Collect relevant physical information of oxygen users and label it as oxygen user physical data, and label oxygen user physical data as Sti; The oxygen coefficient Yqi is combined with the oxygen user's physical data Sti for comprehensive judgment and calculation: Using formula The oxygen comprehensive coefficient Hyi was calculated. Obtain the standard oxygen comprehensive coefficient Hy0 within the control center; compare the oxygen comprehensive coefficient Hyi with the standard oxygen comprehensive coefficient Hy0. If Hyi ≥ Hy0, no action is required; if Hyi < Hy0, it indicates that the oxygen usage does not meet the user's standards, and when... When, send an oxygen flow rate and concentration problem signal to the early warning module; when At that time, an oxygen pressure problem signal is sent to the early warning module.

5. The intelligent control medical gas alarm system according to claim 4, characterized in that, After receiving the anesthesia application signal sent by the selection and input module, the gas analysis module performs gas analysis on the anesthetic gas coefficient Mzj: Collect relevant physical information of anesthesia users and label it as anesthesia user physical data, and label the anesthesia user physical data as Rtj; A comprehensive assessment and calculation is performed using the anesthetic gas coefficient Mzj and the anesthetized patient's physical data Rtj. Using formula The comprehensive coefficient of anesthetic gas, Hmj, was calculated. Obtain the comprehensive coefficient threshold Hm0 of anesthetic gas in the control center, compare the comprehensive coefficient Hmj of anesthetic gas with the comprehensive coefficient threshold Hm0. If Hmj > Hm0, send an anesthetic gas flow concentration warning signal to the warning module. If Hmj ≤ Hm0, no operation is required.

6. The intelligent control medical gas alarm system according to claim 1, characterized in that, Upon receiving a signal indicating an oxygen flow rate or concentration problem, the warning module will issue a voice alert to medical staff, indicating an issue with the oxygen flow rate or concentration. Upon receiving a signal indicating an oxygen pressure problem, the warning module will issue a voice alert to medical staff, indicating an issue with the oxygen pressure. Upon receiving a warning signal indicating an anesthetic gas flow rate or concentration problem, the warning module will issue a voice alert to medical staff, indicating that the use of anesthetic gas exceeds the user's tolerance level and that the anesthetic gas flow rate or concentration needs to be adjusted.

7. The intelligent control medical gas alarm system according to claim 1, characterized in that, The control center is used to acquire the oxygen coefficient and anesthetic gas coefficient obtained after each gas processing module, and integrate the oxygen coefficient and anesthetic gas coefficient to generate oxygen dataset and anesthetic gas dataset respectively. The standard oxygen comprehensive coefficient is calculated by means of the oxygen dataset, and the threshold of the anesthetic gas comprehensive coefficient is calculated by means of the anesthetic gas dataset.

8. A method for intelligent control of medical gas alarm, employing the intelligent control of medical gas alarm system as described in claim 1, characterized in that, The method includes the following steps: Obtain oxygen-related data and anesthetic gas-related data, label the oxygen-related data and anesthetic gas-related data, calculate the coefficients of the labeled oxygen-related data and anesthetic gas-related data respectively, and obtain the oxygen coefficient and anesthetic gas coefficient. The oxygen-related data includes oxygen flow rate, oxygen concentration, and oxygen pressure; the anesthetic gas-related data includes anesthetic gas flow rate, anesthetic gas concentration, and anesthetic gas pressure. Gas analysis is performed based on the type of medical application selected by the user. If it is an oxygen therapy application, the body data of the oxygen user is obtained. The oxygen coefficient is calculated by combining the oxygen coefficient and the body data of the oxygen user. A standard oxygen coefficient is set and compared with the standard oxygen coefficient. Based on the comparison results, it is judged whether there is a problem with the use of oxygen and a warning is issued based on the judgment results. If it is for anesthesia, the body data of the anesthetic gas user is obtained, and the comprehensive coefficient of the anesthetic gas is calculated by combining the anesthetic gas coefficient with the body data of the anesthetic gas user. A threshold for the comprehensive coefficient of the anesthetic gas is set, and the comprehensive coefficient of the anesthetic gas is compared with the threshold. Based on the comparison results, it is judged whether there is a problem with the use of the anesthetic gas, and a warning is issued based on the judgment results.

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