Anaesthesia machine control system and anaesthesia machine

Abstract

The invention relates to an anaesthesia machine control system. The system specifically comprises an acquisition module, an information interaction module, an information processing module, a gas monitoring control module, a standby power supply, a power monitoring module and a display screen, the power monitoring module is used for monitoring an external power supply state in real time, when external power supply is abnormal, the standby power supply is immediately switched, and meanwhile, the power monitoring module also monitors the state of the standby power supply in real time and controls the standby power supply to charge according to needs; and the information processing module performs numerical information fusion by using a double-model structure to obtain anesthetic gas control information. The invention further relates to an anaesthesia machine control method and an anaesthesia machine. According to the anesthesia machine using the system and the method, accurate anesthetic gas supply can be controlled for the individual user, meanwhile, uninterrupted power supply can be guaranteed, and smooth anesthesia treatment and safety of the user are guaranteed.

Description

Technical Field

[0001] The present invention 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 vital role in the surgical process. From the earliest anesthetics to today's high-tech equipment, its evolution has greatly improved the safety and efficiency of surgery. The development of modern anesthesia equipment has made the anesthesia process more intelligent. Intelligent anesthesia machines can monitor patients' physiological indicators, such as heart rate, blood pressure and respiratory rate in real time, and automatically adjust the dosage of anesthetic drugs. This equipment reduces the reliance on manual adjustments and reduces the risks caused by improper operation. The application of remote monitoring technology has further improved the safety of the anesthesia process. Doctors can monitor the patient's anesthesia status in real time through wireless technology, and can effectively intervene even in a remote environment. The application of this technology in remote surgery is particularly important, which enables remote operators to obtain accurate patient status information in the first time, so as to make timely adjustments. Despite this, existing anesthesia machines still have many limitations, such as inaccurate user dose-targeted regulation, insufficient prediction of patient response, and possible power supply abnormalities that affect the normal anesthesia process, which may 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 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 to the information processing module together with the user's current body temperature and blood pressure information and other human body information;

[0006] The gas monitoring 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 the 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 power-consuming components of the anesthesia machine, and when the external power is unstable or suspended, it starts to supply power to various power-consuming components according to the signal of 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, and uses a dual model structure to perform numerical information fusion to obtain anesthetic gas control information and control 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 an anesthesia machine control system disclosed in the present invention;

[0021] Figure 2 is a flow chart of a power control method in an anesthesia machine control method disclosed in the present invention;

[0022] Figure 3 It 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 further described in detail below in conjunction with the accompanying drawings. It is necessary to point out here 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. Technical personnel 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 for real-time gas control and monitoring of 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 the user's body information, namely, face 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 with 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 to the information processing module together with the user's current body temperature and blood pressure information and other human body information. Among them, the user information history anesthesia related information, such as historical body temperature, historical blood pressure, historical gas flow and gas concentration.

[0027] The gas monitoring 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 the exhaled gas and leakage to ensure data accuracy and safety.

[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, 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, monitors and judges the gas ratio and flow, and the gas leakage of the components. It ensures that the corresponding components are matched according to the actual required gas flow and concentration, and at the same time ensures the safety of the equipment and users.

[0029] 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, such as a power outage, it will immediately switch to the backup power supply to ensure the power supply and the normal operation of the anesthesia machine. At the same time, the power monitoring module also monitors the status of the backup power supply in real time, such as SOC. When the anesthesia machine maintains a normal connection to the external power supply, it controls the backup power supply to charge as needed to maintain the normal power supply for the anesthesia machine to complete one work.

[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 input voltage or current of the external power supply 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 lasts for a time unit, or the voltage or current is 0, i.e., a power outage, it is considered that the current external power supply is abnormal and the anesthesia machine cannot be guaranteed to work properly, and the backup power supply is immediately switched. The time unit is set according to the actual situation, such as 1s.

[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. At the same time, it charges the backup power supply 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, temperature, etc., 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 is performed at any time when the anesthesia machine is connected to the external power supply until the SOC value meets the requirements, and then charging is 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 is issued to notify the staff; if the backup power supply is charging, charging is stopped and an early warning is issued; if the backup power supply is supplying power, charging is not stopped and an early warning is 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 begins 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 but does not exceed 1s, it is considered normal power supply. At the same time, whether in standby or anesthesia work, if the monitored SOC value is lower than 85%, charging will be started immediately, and charging will be stopped when 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 immediately switches to external power supply and starts charging the backup power supply.

[0039] In addition, if the temperature of one or more units (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 unit will be stopped immediately and cooled until the unit temperature returns to between 40-70 degrees before it can be used again. If the temperature does not recover for a long time, such as 10 minutes, an early warning will be notified. However, if the current backup power supply is in use and the external power supply has not returned to normal, the unit 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 from 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 to display parameter indicators of the anesthesia machine and the current user in real time for medical staff to view.

[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] Among them, the dual model structure is 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 information of the user and serves as an adjustment model for the current user's anesthesia gas control information. The first anesthesia control model is mainly constructed based on the user's personal physical routine indicators and physical state during anesthesia, and is an anesthetic gas control experience model with personal 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] The second anesthesia control model has multiple ones, which are constructed according to different physical indicators of users to ensure the efficiency and safety of anesthetic medication, that is, the corresponding model is read according to the current physical state of the user as the main model of the anesthetic gas control information of the current user. The second anesthesia control model is constructed according to the current physical state of the user, such as the condition or the required degree of anesthesia, and is an empirical model of anesthetic gas control based on the same situation that is common to different users.

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

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

[0051] The fusion method, taking the weighted method as an example, uses the first anesthetic gas control information A1 to make adjustments based on the second anesthetic gas control information A2, such as the final anesthetic gas control information A=mA2±nA1, wherein 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 body information, such as blood pressure, temperature, etc., is similar to the corresponding historical information, and the same or similar conditions exist as before, such as the condition, which is also a common situation. Therefore, the results A1 and A2 obtained by the first anesthesia control model and the second anesthesia control model, that is, the required anesthesia information such as gas flow 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 is substantially the same.

[0055] (2) The current user's body information, such as blood pressure, temperature, etc., is significantly different from the corresponding historical information, that is, there are situations that did not exist before, such as illness, etc. Therefore, the results A1 and A2 obtained by the first anesthesia control model and the second anesthesia control model, that is, the required anesthesia information such as gas flow and concentration, are significantly different.

[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, which specifically includes a power control method and a gas control method, wherein 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, and at the same time, monitors the status of the backup power supply in real time, and controls the backup power supply to charge as needed, specifically:

[0058] (1) Monitor the input voltage or current of the external power supply in real time and determine the state of the voltage or current. That is, if the voltage or current rises or falls above a certain threshold and lasts for a time unit, or the voltage or current is 0, i.e., a power outage, it is considered that the current external power supply is abnormal and the anesthesia machine cannot be guaranteed to work properly, and the backup power supply is immediately switched. The time unit is set according to the actual situation, such as 1s.

[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) Monitor the status of the backup power supply in real time. By collecting parameters of the backup power supply (battery pack) such as SOC and temperature, determine 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, it will be charged at any time when the anesthesia machine is connected to the external power supply until the SOC value meets the requirements, then stop charging; 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, the charging will be stopped and an early warning will be issued; if the backup power supply is supplying power, the 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 begins 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 but does not exceed 1s, it is considered normal power supply. At the same time, whether in standby or anesthesia work, if the monitored SOC value is lower than 85%, charging will be started immediately, and charging will be stopped when 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 immediately switches to external power supply and starts charging the backup power supply.

[0066] In addition, if the temperature of one or more units (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 unit will be stopped immediately and cooled until the unit temperature returns to between 40-70 degrees before it can be used again. If the temperature does not recover for a long time, such as 10 minutes, an early warning will be notified. However, if the current backup power supply is in use and the external power supply has not returned to normal, the unit 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, and uses a dual model structure to perform numerical information fusion to obtain anesthetic gas control information and control the normal gas supply of the anesthesia machine.

[0068] Among them, the dual model structure is 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 information of the user and serves as an adjustment model for the current user's anesthesia gas control information. The first anesthesia control model is mainly constructed based on the user's personal physical routine indicators and physical state during anesthesia, and is an anesthetic gas control experience model with personal characteristics.

[0072] (2) Receive the user's human 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] The second anesthesia control model has multiple ones, which are constructed according to different physical indicators of users to ensure the efficiency and safety of anesthetic medication, that is, the corresponding model is read according to the current physical state of the user as the main model of the anesthetic gas control information of the current user. The second anesthesia control model is constructed according to the current physical state of the user, such as the condition or the required degree of anesthesia, and is an empirical model of anesthetic gas control based on the same situation that is 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 merged, and a gas flow and concentration value is obtained by weighting or the like to form the final anesthetic gas control information, and the final anesthetic gas control information is sent to the gas monitoring control module.

[0076] The fusion method, taking the weighted method as an example, uses the first anesthetic gas control information A1 to make adjustments based on the second anesthetic gas control information A2, such as the final anesthetic gas control information A=mA2±nA1, wherein 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 body information, such as blood pressure, temperature, etc., is similar to the corresponding historical information, and the same or similar conditions exist as before, such as the condition, which is also a common situation. Therefore, the results A1 and A2 obtained by the first anesthesia control model and the second anesthesia control model, that is, the required anesthesia information such as gas flow 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 is substantially the same.

[0080] (2) The current user's body information, such as blood pressure, temperature, etc., is significantly different from the corresponding historical information, that is, there are situations that did not exist before, such as illness, etc. Therefore, the results A1 and A2 obtained by the first anesthesia control model and the second anesthesia control model, that is, the required anesthesia information such as gas flow and concentration, are significantly different.

[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 above description shows and describes several preferred embodiments of the present invention, but as mentioned above, it should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the invention concept described herein through the above teachings or the technology or knowledge of the relevant field. Changes and variations made by those skilled in the art do not depart from the spirit and scope of the present invention, and should be within the scope of protection of the claims attached to the present invention.

Claims

1. An anesthesia machine control system, characterized in that: 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; 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 to the information processing module together with the user's current body temperature and blood pressure information and other human body information; The gas monitoring 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.

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 information such as the 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.

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 power-consuming components of the anesthesia machine, and when the external power is unstable or suspended, it starts to supply power to various power-consuming 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 includes historical anesthesia-related information, such as historical body temperature, historical blood pressure, historical gas flow and gas concentration.

6. The anesthesia machine control system according to claim 1, characterized in that: The dual-model structure consists of a first anesthesia control model and a second anesthesia control model.

7. A method for controlling an anesthesia machine, the method being based on the anesthesia control system according to any one of claims 1 to 6, characterized in that: The method specifically includes an electric power control method and a gas control method; 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, and uses a dual model structure to perform numerical information fusion to obtain anesthetic gas control information and control the normal gas supply of the anesthesia machine.

8. The anesthesia machine control method according to claim 1, characterized in that: The power control method is specifically: (1) Monitor the input voltage or current of the external power supply 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 the anesthesia machine at any time when it 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, etc. If the backup power supply is in standby state, an early warning is issued.

9. The anesthesia machine control method according to claim 1, characterized in that: The gas control method is specifically: (1) receiving the user information history anesthesia related information sent by the information interaction module, and reading the corresponding first anesthesia control model according to the parameter information in the user information history anesthesia related information; (2) receiving the user's human body information sent by the information interaction module, and reading the corresponding second anesthesia control model according to the parameter information in the above human body information; (3) obtaining first and second anesthetic gas control information through a first anesthesia control model and a second anesthesia control model based on the user's current human body information; (4) The gas flow and concentration values ​​in the two anesthetic gas control information are merged, and a gas flow and concentration value is obtained by weighting or the like to form the final anesthetic gas control information, and the final anesthetic gas control information is sent to the gas monitoring control module.

10. An anesthesia machine, characterized in that: Comprising the anesthesia control system according to any one of claims 1-6.

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