Anesthesia machine control system and anesthesia machine

Abstract

The present application relates to a kind of anaesthesia machine control system, the system specifically includes: acquisition module, information interaction module, information processing module, gas monitoring control module, backup power supply, power monitoring module and display screen;Power monitoring module is used to monitor the state of external power supply in real time, when external power supply appears exception, immediately switch to backup power supply, simultaneously, the power monitoring module also monitors the state of backup power supply in real time, controls backup power supply to charge according to need;Information processing module utilizes double model structure to carry out numerical information fusion, obtains anaesthetic gas control information.The present application also relates to a kind of anaesthesia machine control method and anaesthesia machine.Anesthesia machine using the system and method of the present application, not only can guarantee the accurate anaesthetic gas supply for individual control to user, simultaneously, can guarantee uninterrupted power supply, guarantees the smooth of anaesthesia processing and the safety of user.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of intelligent medical equipment control, and in particular relates to an anesthesia machine control system and an anesthesia machine. Background Art

[0002] Anesthesia technology plays a crucial role in surgical procedures. From the earliest anesthetics to today's high-tech equipment, its evolution has significantly improved surgical safety and efficiency. The development of modern anesthesia equipment has made the anesthesia process more intelligent. Intelligent anesthesia machines can monitor patients' physiological parameters, such as heart rate, blood pressure, and respiratory rate, in real time and automatically adjust the anesthetic dosage. This equipment reduces reliance on manual adjustments and reduces the risks associated with improper operation. The application of remote monitoring technology further enhances the safety of the anesthesia process. Doctors can use wireless technology to monitor patients' anesthesia status in real time, enabling effective intervention even from a remote location. This technology is particularly important in telesurgery, enabling remote operators to obtain accurate patient status information immediately, enabling timely adjustments. However, existing anesthesia machines still have many limitations, such as imprecise user-specific dosage control, inadequate prediction of patient responses, and potential power supply anomalies that can affect the normal anesthesia process. These limitations can lead to various problems during surgery. Summary of the Invention

[0003] The purpose of the present disclosure is to provide an anesthesia machine control system in order to solve the above problems. The system specifically includes: an acquisition module, an information interaction module, an information processing module, a gas monitoring and control module, a backup power supply, a power monitoring module and a display screen;

[0004] The acquisition module is connected to the information interaction module and the display screen, and is mainly used to collect user body information and send it to the information interaction module and the display screen at the same time;

[0005] The information interaction module is connected to the acquisition module and the information processing module, and is mainly used to call the corresponding user information history anesthesia-related information from the remote terminal according to the received user face image, and send it together with the user's current body temperature and blood pressure information and other human body information to the information processing module;

[0006] The gas monitoring and control module is connected to the information processing module and is mainly used to control the corresponding components to discharge gas after receiving the gas control signal sent by the information processing module, and at the same time, monitor the exhaled gas and leakage;

[0007] The power monitoring module is connected to the backup power supply and is mainly used to monitor the external power supply status in real time. When the external power supply is abnormal, it will immediately switch to the backup power supply. At the same time, the power monitoring module also monitors the status of the backup power supply in real time and controls the backup power supply to charge as needed;

[0008] The information processing module is connected to the information interaction module, the gas monitoring and control module, and the display screen, and cooperates with the power monitoring module to perform numerical information fusion using a dual-model structure to obtain anesthetic gas control information.

[0009] Optionally, the gas monitoring and control module receives the gas control signal from the information processing module, extracts information such as gas emission ratio and gas flow, and controls the corresponding components to output according to the information. At the same time, it collects the user's exhaled gas and the gas emission of the components to monitor and judge the gas ratio and flow as well as the gas leakage of the components.

[0010] Optionally, the backup power supply is connected to the power monitoring module and various electrical components of the anesthesia machine, and when the external power is unstable or suspended, it starts to supply power to the various electrical components according to the signal from the power monitoring module;

[0011] The display screen is connected to the information processing module and the display screen to display parameter indicators of the anesthesia machine and the current user in real time.

[0012] Optionally, the user's body information includes facial image, body temperature, and blood pressure.

[0013] Optionally, the user information history anesthesia related information, such as historical body temperature, historical blood pressure, historical gas flow and gas concentration

[0014] Optionally, the dual-model structure is a first anesthesia control model and a second anesthesia control model.

[0015] The present invention also provides an anesthesia machine control method, which is based on the anesthesia control system of the present invention and specifically includes a power control method and a gas control method;

[0016] The power control method is to monitor the external power supply status in real time and immediately switch to the backup power supply when the external power supply is abnormal. At the same time, the status of the backup power supply is monitored in real time and the backup power supply is controlled to charge as needed.

[0017] The gas control method cooperates with the power control method, utilizes a dual-model structure to perform numerical information fusion, obtains anesthetic gas control information, and controls the normal gas supply of the anesthesia machine.

[0018] The present invention also provides an anesthesia machine, comprising the anesthesia control system of the present invention.

[0019] The beneficial effect of the present disclosure is that the anesthesia machine using the system and method of the present application can not only ensure accurate control of the supply of anesthetic gas for individual users, but also ensure uninterrupted power supply, thereby ensuring smooth anesthesia treatment and user safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a schematic diagram of the anesthesia machine control system disclosed herein;

[0021] Figure 2 This is a flow chart of the power control method in the anesthesia machine control method disclosed herein;

[0022] Figure 3 This is a flow chart of the gas control method in the anesthesia machine control method disclosed in the present invention. DETAILED DESCRIPTION

[0023] The present application is described in further detail below in conjunction with the accompanying drawings. It is necessary to point out that the following specific implementation methods are only used to further illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Technicians in this field can make some non-essential improvements and adjustments to the present application based on the above application content.

[0024] like Figure 1 As shown, an anesthesia machine control system is mainly used to control gas in real time and monitor power supply. The system specifically includes: an acquisition module, an information interaction module, an information processing module, a gas monitoring and control module, a backup power supply, a power monitoring module and a display screen.

[0025] The acquisition module is connected to the information interaction module and the display screen, and is mainly used to collect user body information, namely facial image, body temperature, blood pressure, etc., and send it to the information interaction module and the display screen at the same time.

[0026] The information interaction module is connected to the acquisition module and the information processing module. It is mainly used to retrieve the corresponding user information and historical anesthesia-related information from the remote terminal based on the received user facial image, and send it to the information processing module together with the user's current body temperature and blood pressure information and other human body information. The user information and historical anesthesia-related information include historical body temperature, historical blood pressure, historical gas flow rate and gas concentration.

[0027] The gas monitoring and control module is connected to the information processing module and is mainly used to control the corresponding components to discharge gas after receiving the gas control signal sent by the information processing module. At the same time, it monitors exhaled gas and leakage to ensure data accuracy and security.

[0028] The gas monitoring and control module receives the gas control signal from the information processing module, extracts information such as gas emission ratio and gas flow rate, and controls the output of corresponding components based on this information. Simultaneously, it collects user exhaled gas and component gas emission, monitoring and determining gas ratios and flow rates, as well as component gas leaks. This ensures that corresponding components are matched to the required gas flow rate and concentration, while also ensuring the safety of the equipment and users.

[0029] The power monitoring module is connected to the backup power supply and is primarily used to monitor the external power supply status in real time. If an external power supply anomaly occurs, such as a power outage, the module immediately switches to the backup power supply to ensure power supply and the normal operation of the anesthesia machine. The power monitoring module also monitors the status of the backup power supply, such as the SOC, in real time. As long as the anesthesia machine remains connected to the external power supply, the module controls the backup power supply to charge as needed to maintain the power level required for the anesthesia machine to complete a single operation.

[0030] The power monitoring module monitors the external power supply status in real time, and immediately switches to the backup power supply when the external power supply is abnormal. At the same time, the backup power supply status is monitored in real time, and the backup power supply is controlled to charge as needed. Specifically:

[0031] (1) The power monitoring module monitors the external power input voltage or current in real time and determines the state of the voltage or current. That is, if the voltage or current rises or falls above a certain threshold and persists for a time unit, or if the voltage or current is zero, i.e., a power outage, the module deems that the current external power supply is abnormal and cannot guarantee the normal operation of the anesthesia machine, and immediately switches to the backup power supply. The time unit is set according to the actual situation, such as 1 second.

[0032] (2) The power monitoring module continues to monitor the output voltage or current of the external power supply. When the voltage or current is normal, it switches to the external power supply and charges the backup power supply at the same time to ensure that the anesthesia machine can cope with the next power abnormality.

[0033] (3) The power monitoring module monitors the status of the backup power supply in real time, and determines whether the backup power supply is in a normal standby state by collecting parameters of the backup power supply (battery pack), such as SOC and temperature, and can be used to power the anesthesia machine at any time. If the SOC value does not meet the requirements, that is, it does not reach the full power required for the anesthesia machine to operate normally, charging will be carried out at any time when the anesthesia machine is connected to the external power supply until the SOC value meets the requirements, and then charging will be stopped; if the battery temperature exceeds the temperature warning value, there is a risk of thermal runaway, etc. If the backup power supply is in standby state, an early warning will be issued to notify the staff; if the backup power supply is charging, charging will be stopped and an early warning will be issued; if the backup power supply is supplying power, charging will not be stopped and an early warning will be issued.

[0034] For example:

[0035] When the anesthesia machine is connected to an external power supply, regardless of whether anesthesia is started, the power monitoring module starts to receive the input voltage or current of the external power supply, and at the same time collects the SOC and temperature values ​​of the backup power supply. For example, the normal input voltage range is 180-230 (or input current 15-20A, etc.), the SOC threshold is 85% of the maximum capacity, and the battery temperature is 40-70 degrees.

[0036] When the input voltage fluctuates, but occasionally exceeds the range for no more than 1s, it is considered normal power supply. At the same time, whether in standby or anesthesia, if the monitored SOC value is lower than 85%, charging will be started immediately, and charging will be stopped until it exceeds 85% or reaches 100%.

[0037] When the input voltage changes as follows: if the voltage rises above 230, continues to rise or fluctuates, and lasts for more than 1s, or if the voltage drops below 180, also continues to drop or fluctuate, and lasts for more than 1s, in addition, if the voltage reaches 0, that is, a power outage, it is considered that the current voltage is in an unstable abnormal state, and the backup power supply is immediately switched to power supply. At this time, the backup power supply stops charging.

[0038] When the input voltage returns to between 180-230 and is basically stable, it will immediately switch to external power supply and start charging the backup power supply.

[0039] In addition, if the temperature of one or more cells (batteries) in the backup power supply (battery pack) is detected to be out of range, such as 80 degrees or higher, the power supply of the cell will be immediately stopped and cooled until the cell temperature returns to between 40-70 degrees before it can be used again. If the temperature does not return to normal for a long time, such as 10 minutes, an early warning will be issued. However, if the current backup power supply is in use and the external power supply has not returned to normal, the cell will continue to be used as long as it does not exceed a certain temperature (such as 90 degrees) to ensure the operation of the anesthesia machine.

[0040] The backup power supply is connected to the power monitoring module and various electrical components of the anesthesia machine, and is usually a battery pack. When the external power is unstable or suspended, it starts to supply power to various electrical components according to the signal of the power monitoring module to ensure the continuous operation of the anesthesia machine.

[0041] The display screen is connected to the information processing module and the display screen, and displays parameter indicators of the anesthesia machine and the current user in real time, and provides them to medical staff for viewing.

[0042] The information processing module is connected to the information interaction module, the gas monitoring and control module, and the display screen, and cooperates with the power monitoring module to use a dual-model structure to fuse numerical information to obtain anesthetic gas control information and control the normal gas supply of the anesthesia machine.

[0043] The dual-model structure includes a first anesthesia control model and a second anesthesia control model.

[0044] Specifically:

[0045] (1) The information processing module receives the user information and historical anesthesia-related information sent by the information interaction module, extracts the historical body temperature, historical blood pressure, historical gas flow and gas concentration information, and reads the corresponding first anesthesia control model according to the above parameter information.

[0046] The first anesthesia control model is continuously updated based on multiple historical user information and serves as an adjustment model for the current user's anesthetic gas control information. The first anesthesia control model is primarily constructed based on the user's individual physical indicators and physical condition during anesthesia, and is an empirical model of anesthetic gas control based on individual characteristics.

[0047] (2) The information processing module receives the user's body information sent by the information interaction module, extracts the body temperature, blood pressure and other information therein, and reads the corresponding second anesthesia control model according to the above parameter information.

[0048] Multiple second anesthesia control models are constructed based on the user's various physical indicators to ensure efficient and safe anesthetic administration. Specifically, the corresponding model is read based on the user's current physical condition and serves as the primary model for the user's anesthetic gas control information. The second anesthesia control model is constructed based on the user's current physical condition, such as illness or desired anesthesia level, and is an empirical model for anesthetic gas control based on the same conditions, common to different users.

[0049] (3) The information processing module obtains first and second anesthetic gas control information based on the user's current human body information through the first anesthesia control model and the second anesthesia control model, respectively. The gas control information includes gas flow and concentration.

[0050] (4) The information processing module fuses the gas flow and concentration values ​​in the two anesthetic gas control information, obtains a gas flow and concentration value by weighting, etc., forms the final anesthetic gas control information, and sends it to the gas monitoring control module.

[0051] The fusion method, taking a weighted approach as an example, uses the first anesthetic gas control information A1 to perform adjustments based on the second anesthetic gas control information A2, such as the final anesthetic gas control information A=mA2±nA1, where m and n are two adjustment coefficients, and m is much larger than n, to ensure a small range adjustment of the A2 result.

[0052] There are usually two ways to perform fusion adjustment of anesthetic gas control information:

[0053] (1) The current user's anatomy information, such as blood pressure and temperature, is similar to the corresponding historical information and has the same or similar conditions, such as illness, as previously. This is also a common situation. Therefore, the results A1 and A2 obtained by the first and second anesthesia control models, that is, the required anesthesia information such as gas flow rate and concentration, are similar.

[0054] Since the coefficient m is much larger than n, the numerical information in the anesthetic gas control information A2 obtained according to the current user state is dominant, and after adjustment based on the coefficient n and A1, A2 changes very little or remains substantially the same.

[0055] (2) The current user's body information, such as blood pressure and temperature, differs significantly from the corresponding historical information, indicating that previously unseen conditions, such as illness, have emerged. Therefore, the results A1 and A2 obtained by the first and second anesthesia control models, i.e., the required anesthesia information such as gas flow rate and concentration, differ significantly.

[0056] Although the coefficient m is much larger than n, the numerical information in the anesthetic gas control information A2 obtained according to the current user status is dominant. However, due to the large difference between the numerical information in A1 and A2, A2 needs to be adjusted to a certain extent. At the same time, due to the control of the coefficient n, the adjustment of A2 is kept within a certain controllable and safe range.

[0057] The present invention also provides an anesthesia machine control method, specifically including a power control method and a gas control method. The power control method monitors the external power supply status in real time and immediately switches to a backup power supply when an abnormality occurs in the external power supply. At the same time, the status of the backup power supply is monitored in real time and the backup power supply is controlled to be charged as needed. Specifically, the method includes:

[0058] (1) Real-time monitoring of the external power input voltage or current, and determination of the voltage or current status. Specifically, if the voltage or current rises or falls above a certain threshold and persists for a time unit, or if the voltage or current is zero, indicating a power outage, the system is deemed to have an abnormal external power supply and cannot guarantee normal operation of the anesthesia machine, and immediately switches to the backup power supply. The time unit is set based on actual conditions, such as 1 second.

[0059] (2) Continue to monitor the output voltage or current of the external power supply. When the voltage or current is normal, switch to the external power supply. At the same time, charge the backup power supply to ensure that the anesthesia machine can cope with the next power abnormality.

[0060] (3) Real-time monitoring of the backup power supply status. By collecting parameters of the backup power supply (battery pack) such as SOC and temperature, it is determined whether the backup power supply is in normal standby state, that is, it can be used to power the anesthesia machine at any time. If the SOC value does not meet the requirements, that is, it does not reach the full power of the anesthesia machine for normal operation, charging will be carried out at any time when the anesthesia machine is connected to the external power supply until the SOC value meets the requirements, then charging will be stopped; if the battery temperature exceeds the temperature warning value, there is a risk of thermal runaway, etc. If the backup power supply is in standby state, an early warning will be issued to notify the staff. If the backup power supply is charging, charging will be stopped and an early warning will be issued. If the backup power supply is supplying power, charging will not be stopped and an early warning will be issued.

[0061] For example:

[0062] When the anesthesia machine is connected to an external power supply, regardless of whether anesthesia is started, the power monitoring module starts to receive the input voltage or current of the external power supply, and at the same time collects the SOC and temperature values ​​of the backup power supply. For example, the normal input voltage range is 180-230 (or input current 15-20A, etc.), the SOC threshold is 85% of the maximum capacity, and the battery temperature is 40-70 degrees.

[0063] When the input voltage fluctuates, but occasionally exceeds the range for no more than 1s, it is considered normal power supply. At the same time, whether in standby or anesthesia, if the monitored SOC value is lower than 85%, charging will be started immediately, and charging will be stopped until it exceeds 85% or reaches 100%.

[0064] When the input voltage changes as follows: if the voltage rises above 230, continues to rise or fluctuates, and lasts for more than 1s, or if the voltage drops below 180, also continues to drop or fluctuate, and lasts for more than 1s, in addition, if the voltage reaches 0, that is, a power outage, it is considered that the current voltage is in an unstable abnormal state, and the backup power supply is immediately switched to power supply. At this time, the backup power supply stops charging.

[0065] When the input voltage returns to between 180-230 and is basically stable, it will immediately switch to external power supply and start charging the backup power supply.

[0066] In addition, if the temperature of one or more cells (batteries) in the backup power supply (battery pack) is detected to be out of range, such as 80 degrees or higher, the power supply of the cell will be immediately stopped and cooled until the cell temperature returns to between 40-70 degrees before it can be used again. If the temperature does not return to normal for a long time, such as 10 minutes, an early warning will be issued. However, if the current backup power supply is in use and the external power supply has not returned to normal, the cell will continue to be used as long as it does not exceed a certain temperature (such as 90 degrees) to ensure the operation of the anesthesia machine.

[0067] The gas control method cooperates with the power control method, utilizes a dual-model structure to perform numerical information fusion, obtains anesthetic gas control information, and controls the normal gas supply of the anesthesia machine.

[0068] The dual-model structure includes a first anesthesia control model and a second anesthesia control model.

[0069] Specifically:

[0070] (1) Receive user information and historical anesthesia-related information sent by the information interaction module, extract historical body temperature, historical blood pressure, historical gas flow and gas concentration information, and read the corresponding first anesthesia control model according to the above parameter information.

[0071] The first anesthesia control model is continuously updated based on multiple historical user information and serves as an adjustment model for the current user's anesthetic gas control information. The first anesthesia control model is primarily constructed based on the user's individual physical indicators and physical condition during anesthesia, and is an empirical model of anesthetic gas control based on individual characteristics.

[0072] (2) Receive the user's body information sent by the information interaction module, extract the body temperature, blood pressure and other information therein, and read the corresponding second anesthesia control model according to the above parameter information.

[0073] Multiple second anesthesia control models are constructed based on the user's various physical indicators to ensure efficient and safe anesthetic administration. Specifically, the corresponding model is read based on the user's current physical condition and serves as the primary model for the user's anesthetic gas control information. The second anesthesia control model is constructed based on the user's current physical condition, such as illness or desired anesthesia level, and is an empirical model for anesthetic gas control based on the same conditions, common to different users.

[0074] (3) Based on the user's current human body information, first and second anesthetic gas control information are obtained through the first anesthesia control model and the second anesthesia control model, respectively. The gas control information includes gas flow and concentration.

[0075] (4) The gas flow and concentration values ​​in the two anesthetic gas control information are fused, and a gas flow and concentration value is obtained by weighting or the like to form the final anesthetic gas control information, and sent to the gas monitoring control module.

[0076] The fusion method, taking a weighted approach as an example, uses the first anesthetic gas control information A1 to perform adjustments based on the second anesthetic gas control information A2, such as the final anesthetic gas control information A=mA2±nA1, where m and n are two adjustment coefficients, and m is much larger than n, to ensure a small range adjustment of the A2 result.

[0077] There are usually two ways to perform fusion adjustment of anesthetic gas control information:

[0078] (1) The current user's anatomy information, such as blood pressure and temperature, is similar to the corresponding historical information and has the same or similar conditions, such as illness, as previously. This is also a common situation. Therefore, the results A1 and A2 obtained by the first and second anesthesia control models, that is, the required anesthesia information such as gas flow rate and concentration, are similar.

[0079] Since the coefficient m is much larger than n, the numerical information in the anesthetic gas control information A2 obtained according to the current user state is dominant, and after adjustment based on the coefficient n and A1, A2 changes very little or remains substantially the same.

[0080] (2) The current user's body information, such as blood pressure and temperature, differs significantly from the corresponding historical information, indicating that previously unseen conditions, such as illness, have emerged. Therefore, the results A1 and A2 obtained by the first and second anesthesia control models, i.e., the required anesthesia information such as gas flow rate and concentration, differ significantly.

[0081] Although the coefficient m is much larger than n, the numerical information in the anesthetic gas control information A2 obtained according to the current user status is dominant. However, due to the large difference between the numerical information in A1 and A2, A2 needs to be adjusted to a certain extent. At the same time, due to the control of the coefficient n, the adjustment of A2 is kept within a certain controllable and safe range.

[0082] In addition, the present invention also provides an anesthesia machine, which includes the above-mentioned anesthesia control system.

[0083] The foregoing description shows and describes several preferred embodiments of the present invention. However, as previously stated, it should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. Rather, the present invention can be used in various other combinations, modifications, and environments and can be modified within the scope of the inventive concept described herein by the teachings above or by techniques or knowledge in the relevant art. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention are intended to be within the scope of the appended claims.

Claims

1. An anesthesia machine control system, characterized in that: The system specifically includes: acquisition module, information interaction module, information processing module, gas monitoring and control module, backup power supply, power monitoring module and display screen; The acquisition module is connected to the information interaction module and the display screen, and is mainly used to collect user body information and send it to the information interaction module and the display screen at the same time; The information interaction module is connected to the acquisition module and the information processing module, and is mainly used to call the corresponding user information history anesthesia-related information from the remote terminal according to the received user face image, and send it together with the user's current body temperature and blood pressure information to the information processing module; The gas monitoring and control module is connected to the information processing module and is mainly used to control the corresponding components to discharge gas after receiving the gas control signal sent by the information processing module, and at the same time, monitor the exhaled gas and leakage; The power monitoring module is connected to the backup power supply and is mainly used to monitor the external power supply status in real time. When the external power supply is abnormal, it will immediately switch to the backup power supply. At the same time, the power monitoring module also monitors the status of the backup power supply in real time and controls the backup power supply to charge as needed; The information processing module is connected to the information interaction module, the gas monitoring and control module, and the display screen, and cooperates with the power monitoring module to perform numerical information fusion using a dual-model structure to obtain anesthetic gas control information; The dual-model structure consists of the first anesthesia control model and the second anesthesia control model; Receive the user information history anesthesia related information sent by the information interaction module, and read the corresponding first anesthesia control model according to the parameter information in the user information history anesthesia related information; Receive the user's human body information sent by the information interaction module, and read the corresponding second anesthesia control model according to the parameter information in the above human body information; Based on the user's current human body information, first and second anesthetic gas control information are obtained respectively through the first anesthesia control model and the second anesthesia control model; The gas flow and concentration values ​​in the two anesthetic gas control information are fused, and a gas flow and concentration value is obtained by weighting to form the final anesthetic gas control information, and sent to the gas monitoring control module.

2. The anesthesia machine control system according to claim 1, characterized in that: The gas monitoring and control module receives the gas control signal from the information processing module, extracts the gas emission ratio and gas flow information, and controls the corresponding components to output according to the information. At the same time, it collects the user's exhaled gas and the gas emission of the components to monitor and judge the gas ratio and flow as well as the gas leakage of the components.

3. The anesthesia machine control system according to claim 1, characterized in that: The backup power supply is connected to the power monitoring module and various electrical components of the anesthesia machine, and when the external power is unstable or suspended, it starts to supply power to various electrical components according to the signal of the power monitoring module; The display screen is connected to the information processing module and the display screen to display parameter indicators of the anesthesia machine and the current user in real time.

4. The anesthesia machine control system according to claim 1, characterized in that: The user's body information includes facial image, body temperature, and blood pressure.

5. The anesthesia machine control system according to claim 1, characterized in that: The user information historical anesthesia-related information includes historical body temperature, historical blood pressure, historical gas flow and gas concentration.

6. A method for controlling an anesthesia machine, the method being based on the anesthesia machine control system according to any one of claims 1 to 5, characterized in that: The methods specifically include power control methods and gas control methods; The power control method is to monitor the external power supply status in real time and immediately switch to the backup power supply when the external power supply is abnormal. At the same time, the status of the backup power supply is monitored in real time and the backup power supply is controlled to charge as needed. The gas control method cooperates with the power control method, utilizes a dual-model structure to perform numerical information fusion, obtains anesthetic gas control information, and controls the normal gas supply of the anesthesia machine.

7. The anesthesia machine control method according to claim 6, characterized in that: The power control method is specifically as follows: (1) Monitor the external power input voltage or current in real time and determine the voltage or current status. If the current external power supply is abnormal, immediately switch to the backup power supply; (2) Continue to monitor the output voltage or current of the external power supply. When the voltage or current is normal, switch to the external power supply and charge the backup power supply at the same time. (3) Monitor the status of the backup power supply in real time, and determine whether the backup power supply is in a normal standby state by collecting the parameters of the backup power supply. If the SOC value does not meet the requirements, charge it at any time when the anesthesia machine is connected to the external power supply until the SOC value meets the requirements; if the battery temperature exceeds the temperature warning value, there is a risk of thermal runaway. If the backup power supply is in standby state, an early warning will be issued.

8. An anesthesia machine, characterized in that: The anesthesia machine control system comprises the anesthesia machine control system according to any one of claims 1 to 5.

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