Anesthetic drug remaining monitoring method and monitoring system

Abstract

The present application discloses a method and system for monitoring the remainder of anesthetic drugs, which first obtains the total amount of anesthetic drugs, then obtains the output concentration parameter set and the output flow parameter set of the anesthetic drugs, and then calculates the anesthetic drug release amount based on the output concentration parameter set and the output flow parameter set; then calculates the anesthetic drug remainder based on the total amount of anesthetic drugs and the anesthetic drug release amount, and finally outputs the monitoring result based on the anesthetic drug remainder; the output concentration parameter set and the output flow parameter set of the technical solution described in the present application can collect and update the data set in real time during anesthesia, and the anesthetic drug remainder can also be updated according to the update result, that is, the present application can update the anesthetic drug remainder in real time, effectively improving the timeliness of monitoring; the present application performs real-time integral calculation of the anesthetic drug consumption based on the output concentration parameter set and the output flow parameter set, which can ignore the influence of flow and concentration fluctuations on the calculation results, and effectively improve the calculation accuracy.

Description

Technical Field

[0001] The present application relates to the technical field of medical equipment, and in particular to a method and system for monitoring the remaining amount of anesthetic drugs. Background Art

[0002] Nitrous oxide is an important other anesthetic. During the anesthesia process, it is generally provided to the patient for breathing in the form of a mixed gas to achieve anesthesia. In the existing technology, the delivery amount of the anesthetic is generally judged by observing the patient's anesthesia state. However, there is a lack of accurate monitoring methods for the remaining amount of the anesthetic, which makes it impossible for medical staff to accurately control the remaining amount of the anesthetic. Summary of the Invention

[0003] The main purpose of this application is to provide a method and system for monitoring the remaining amount of anesthetics, aiming to solve the defect of lack of monitoring of the remaining amount of anesthetics in the existing technology.

[0004] This application achieves the above objectives through the following technical solutions:

[0005] A method for monitoring anesthetic residue comprises the following steps:

[0006] Obtain the total amount of anesthetic drugs;

[0007] Obtaining an output concentration parameter set and an output flow parameter set of an anesthetic drug;

[0008] Calculating the anesthetic release amount according to the output concentration parameter set and the output flow parameter set;

[0009] The remaining amount of anesthetic is calculated based on the total amount of anesthetic and the amount of anesthetic released. The calculation formula of the remaining amount of anesthetic is M 余 =M 总 -M, where M 总 represents the total amount of anesthetic, and M represents the amount of anesthetic released;

[0010] The monitoring result is outputted according to the remaining amount of the anesthetic.

[0011] Optionally, obtaining an output concentration parameter set and an output flow parameter set of an anesthetic drug includes the following steps:

[0012] Set the sampling interval Δt;

[0013] completing data sampling according to the sampling interval;

[0014] The collected concentration parameters are aggregated and output as a concentration parameter set {c1, c2, ..., c i ,...,c n}, where i represents the number set according to the sampling order, and n represents the total number of samples;

[0015] The collected traffic parameters are aggregated and output as a traffic parameter set {Q1, Q2, ..., Q i ,...,Q n}, where i represents the number set according to the sampling order, and n represents the total number of samples.

[0016] Optionally, calculating the anesthetic release amount according to the output concentration parameter set and the output flow parameter set comprises the following steps:

[0017] Get sampling interval, output concentration parameter set and output flow parameter set;

[0018] Performing discrete integral calculation according to the sampling interval, the output concentration parameter set, and the output flow parameter set to obtain an initial release amount of the anesthetic;

[0019] Obtain anesthetic drug attachment parameter M1;

[0020] The initial release amount of the anesthetic is corrected according to the attachment parameter, and the release amount of the anesthetic is output.

[0021] Optionally, the formula for calculating the initial release of anesthetic is: , where c i Indicates the concentration parameter numbered i, Q i It represents the traffic parameter numbered i, Δt represents the sampling interval, and n represents the total number of samples. Its calculation expression is n=3600T / Δt, where T represents the total sampling time in h.

[0022] Optionally, the formula for calculating the amount of anesthetic released is +M1, where K1 represents the concentration parameter error and k2 represents the flow parameter error.

[0023] Optionally, obtaining the anesthetic drug attachment parameter M1 includes the following steps:

[0024] Get sampling interval, output concentration parameter set and output flow parameter set;

[0025] Get the anesthetic drug input concentration parameter set {c1', c2', ..., c i ',...,c n '};

[0026] Comparing the output concentration parameter set with the input concentration parameter set, extracting an attachment input concentration parameter set, an attachment output concentration parameter set, and an attachment output flow parameter set;

[0027] The anesthetic drug attachment parameter M1 is calculated according to the sampling interval, the attachment input concentration parameter set, the attachment output concentration parameter set, and the attachment output flow parameter set.

[0028] Optionally, comparing the output concentration parameter set with the input concentration parameter set to extract the attachment input concentration parameter set, the attachment output concentration parameter set, and the attachment output flow parameter set comprises the following steps:

[0029] Set the penetration point judgment function, the expression of the judgment function is c m ≥ac m ', where a is a constant with a value range of 0.97-1, and m represents the penetration point number;

[0030] Comparing the output concentration parameter set with each parameter in the input concentration parameter set in sequence according to a determination formula;

[0031] The first parameter that satisfies the judgment function is taken as the penetration point;

[0032] According to the penetration point, the attached input concentration parameter set {c1', c2', ..., c m '}; Extract the attached output concentration parameter set {c1, c2, ..., c m};

[0033] Extract the attached output flow parameter set {Q1, Q2, ..., Q m}.

[0034] Optionally, the anesthetic attachment parameter M1 is calculated as , where j represents the parameter number, m represents the penetration point number, c j ' represents the attachment input concentration parameter, c j represents the attachment output concentration parameter, Q j Indicates the attached output traffic parameters.

[0035] Optionally, outputting the monitoring result according to the remaining anesthetic drug amount includes the following steps:

[0036] Set at least one alarm threshold;

[0037] Obtain the remaining amount of anesthetic;

[0038] The remaining amount of the anesthetic is compared with each of the alarm thresholds, and corresponding monitoring results are output according to the comparison results.

[0039] Accordingly, the present application also discloses a monitoring system based on the above monitoring method, comprising:

[0040] A first parameter acquisition module is used to obtain the total amount of anesthetic;

[0041] A second parameter acquisition module is used to obtain an output concentration parameter set and an output flow parameter set of the anesthetic drug;

[0042] a first calculation module, configured to calculate the anesthetic release amount according to the output concentration parameter and the output flow parameter;

[0043] a second calculation module, configured to calculate the remaining amount of anesthetic drugs according to the total amount of anesthetic drugs and the amount of anesthetic drug released;

[0044] The output and warning module is used to output monitoring results according to the remaining amount of anesthetic.

[0045] Compared with the prior art, this application has the following beneficial effects:

[0046] The present application first obtains the total amount of anesthetic drugs, then obtains the output concentration parameter set and the output flow parameter set of the anesthetic drugs, and then calculates the anesthetic drug release amount according to the output concentration parameter set and the output flow parameter set; then calculates the anesthetic drug residue according to the total amount of anesthetic drugs and the anesthetic drug release amount, and finally outputs the monitoring result according to the anesthetic drug residue;

[0047] Compared with the prior art, the output concentration parameter set and the output flow parameter set of the technical solution described in the present application can collect and update the data set in real time during anesthesia, and the anesthetic residue can also be updated according to the update results. That is, the application can update the anesthetic residue in real time, effectively improving the timeliness of monitoring;

[0048] Secondly, in the calculation process of this application, this application performs real-time integral calculation of the anesthetic consumption based on the output concentration parameter set and the output flow parameter set. It is not only more timely, but the above calculation method can also ignore the impact of flow and concentration fluctuations on the calculation results, effectively improving the accuracy of the calculation. At the same time, the above technical means can also realize real-time monitoring of the anesthetic residue. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A flowchart of a method for monitoring anesthetic drug residue provided in embodiment 1 of the present application;

[0050] Figure 2 This is the principle diagram for calculating the initial release of anesthetics;

[0051] Figure 3 This is a structural diagram of an anesthetic drug remaining monitoring system provided in embodiment 2 of the present application.

[0052] The purpose, features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0054] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0055] In the present invention, unless otherwise specified or limited, the terms "connection" and "fixation" should be understood in a broad sense. For example, "fixation" can mean fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; internal communication between two elements or interaction between two elements, unless otherwise specified. Those skilled in the art will be able to understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0056] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of such features. In addition, the meaning of "and / or" appearing throughout the text includes three parallel schemes. Taking "robot coordinate system and / or m" as an example, it includes the robot coordinate system scheme, or the m scheme, or the scheme in which the robot coordinate system and m are satisfied at the same time. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the fact that ordinary technicians in this field can implement it. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0057] Implementation method 1:

[0058] Reference Figure 1 This embodiment discloses a method for monitoring the remaining amount of anesthetics, comprising the following steps:

[0059] S1. Obtain the total amount of anesthetic drugs;

[0060] Obtain the total amount of anesthetic prepared during surgery through medical data;

[0061] S2. Obtaining an output concentration parameter set and an output flow parameter set of the anesthetic drug;

[0062] S21, setting the sampling interval Δt;

[0063] The sampling interval Δt refers to the time interval between any two adjacent samples. For example, Δt=0.1s means that the flow sensor completes one sampling every 0.1s, and the concentration sensor completes one sampling at the same time.

[0064] It should be noted that the concentration sensor is preferably a non-dispersive infrared sensor.

[0065] S22, completing data sampling according to the sampling interval;

[0066] After setting the sampling interval, control the corresponding sensor to collect the corresponding data;

[0067] S23, collect the collected concentration parameters and output the concentration parameter set {c1, c2, ..., c i ,...,c n}, where i represents the number set according to the sampling order, and n represents the total number of samples;

[0068] Get all the concentration parameters obtained by the sensor, and number each concentration parameter according to the sampling time sequence. For example, the first sample data obtained is numbered 1, which is represented by i; n represents the total number of samples; thus outputting the concentration parameter set {c1, c2, ..., c i ,...,c n};

[0069] It should be noted that the total number of samples is closely related to the sampling interval. For example, if the operation time is 2 hours and the sampling interval is 0.1s, the samples are taken 10 times per second. Therefore, during the 2-hour operation, the total number of samples is 72,000 times.

[0070] S24, the collected traffic parameters are aggregated and output as a traffic parameter set {Q1, Q2, ..., Q i ,...,Q n}, where i represents the number set according to the sampling order, and n represents the total number of samples.

[0071] The same method as step S23 is used to output the flow parameter set {Q1, Q2, ..., Q i ,...,Q n};

[0072] It should be noted that the same set of numbers is used in the two data sets in order to quickly correspond parameters to facilitate subsequent calculations;

[0073] If the numbers are the same, it means that the sampling time of the two is the same, that is, at the same time, both concentration sampling and flow sampling are required, and a mapping relationship is established between the flow parameter and concentration parameter bracket at the same time;

[0074] S3, calculating the anesthetic release amount according to the output concentration parameter set and the output flow parameter set;

[0075] S31, obtaining a sampling interval, an output concentration parameter set, and an output flow parameter set;

[0076] Get the output concentration parameter set {c1, c2, ..., c i ,...,c n} and the output flow parameter set {Q1, Q2, ..., Q i ,...,Q n}, and simultaneously obtain the sampling interval Δt;

[0077] S32, performing discrete integral calculation according to the sampling interval, the output concentration parameter set, and the output flow parameter set to obtain an initial release amount of the anesthetic;

[0078] Reference Figure 2 , which discloses the principle of discrete integral operation. When the sampling interval Δt is small enough, the changes in concentration and flow rate can be ignored, that is, the concentration parameter and flow rate parameter are considered to be constant within the sampling interval. Therefore, the entire anesthetic output process is divided into n regions according to the sampling interval. The area of ​​each region is the amount of anesthetic released within the sampling interval. The initial amount of anesthetic released can be obtained by summing up all the regions.

[0079] Therefore, the formula for calculating the initial release of anesthetic is: , where c i Indicates the concentration parameter numbered i, Q i represents the flow parameter numbered i, Δt represents the sampling interval, and n represents the total number of samples. Its calculation expression is n=3600T / Δt, where T represents the total sampling time in hours;

[0080] It should be noted that the upper limit of the total sampling time is the total operation time. For example, if the total operation time is 2 hours and the sampling interval is 0.1s, then n=3600*2*10=72000; which means that 72000 sets of data will be collected during the entire operation.

[0081] S33, obtaining anesthetic drug attachment parameter M1;

[0082] S331, obtaining a sampling interval, an output concentration parameter set, and an output flow parameter set;

[0083] Get the output concentration parameter set {c1, c2, ..., c i ,...,c n} and the output flow parameter set {Q1, Q2, ..., Q i ,...,Q n}, and simultaneously obtain the sampling interval Δt;

[0084] S332, obtain the anesthetic drug input concentration parameter set {c1', c2', ..., c i ',...,c n '};

[0085] A concentration sensor is set at the inlet end of the anesthesia delivery tube to collect the concentration of the anesthetic drug input into the anesthesia delivery tube, and the input concentration parameter set {c1', c2', ..., c i ',...,c n '};

[0086] S333, comparing the output concentration parameter set with the input concentration parameter set, extracting an attachment input concentration parameter set, an attachment output concentration parameter set, and an attachment output flow parameter set;

[0087] S3331, set the penetration point judgment function, the expression of the judgment function is c m ≥ac m ', where a is a constant with a value range of 0.97-1, and m represents the penetration point number;

[0088] During the process of anesthetic delivery through the pipeline, some anesthetics will adhere to the inner wall of the pipeline. In the initial stage of anesthetic delivery, the amount of anesthetics attached to the inner wall of the pipeline is greater than the amount lost due to air flow. However, as the anesthetic gas continues to flow, the amount of anesthetics attached to the inner wall of the pipeline will tend to be saturated. At this time, the amount of anesthetics attached and the amount lost will be in dynamic equilibrium. Therefore, the amount of anesthetics attached will first increase and then tend to zero.

[0089] At the same time, in the early stage of attachment, the concentration of anesthetic at the outlet will decrease due to attachment. As attachment continues, the concentration at the outlet will gradually approach that at the inlet, and eventually become equal.

[0090] Based on the above principle, and taking into account the measurement error, the attachment end time can be quickly calibrated by setting the calculation constant, that is, the penetration point can be determined; therefore, the expression of the determination function is c m ≥ac m ', where a is a constant with a value range of 0.97-1, and m represents the penetration point number, that is, the time node corresponding to the penetration point;

[0091] S3332. Compare the parameters in the output concentration parameter set and the input concentration parameter set in sequence according to the determination formula;

[0092] From the input concentration parameter set {c1', c2', ..., c i ',...,c n '} extract the input concentration parameter c1' and extract the output concentration parameter set {c1, c2, ..., c i ,...,c n} extract the output concentration parameter c1, compare the input concentration parameter c1' and the output concentration parameter c1, if c1 ≥ ac1', the first point is the penetration point, otherwise compare the input concentration parameter c2' and the output concentration parameter c2 in the same way;

[0093] S3333. The first parameter that satisfies the judgment function is used as the penetration point;

[0094] The first parameter that satisfies the judgment function is taken as the penetration point. For example, if the parameter numbered 10000 satisfies the judgment function first, the parameter numbered 10000 is taken as the penetration point.

[0095] It should be noted that, based on the principle of obtaining the penetration point, the penetration point number m is a positive integer not greater than the total number of samples n.

[0096] S3334, extracting the attached input concentration parameter set {c1', c2', ..., c m '}; Extract the attached output concentration parameter set {c1, c2, ..., c m};

[0097] Get the input concentration parameter set {c1', c2', ..., c i ',...,c n '} and the output concentration parameter set {c1, c2, ..., c i ,...,c n}, combined with the penetration point, all parameters with numbers greater than the penetration point number are deleted, and the remaining parameters are retained and output, thus obtaining the attached input concentration parameter set {c1', c2', ..., c m '} and attached output concentration parameter set {c1, c2, ..., c m}.

[0098] S3335. Extract the attached output flow parameter set {Q1, Q2, ..., Q m}.

[0099] The same method as step S3334 is used to obtain the attached output flow parameter set {Q1, Q2, ..., Q m};

[0100] Based on the above analysis, it can be seen that the output of anesthetics will only decrease when the inner wall of the pipe is not completely attached. That is, taking the penetration point as the dividing point, the total output of anesthetics is reduced before the penetration point due to the effect of adhesion, and there is almost no effect after that. Therefore, the above method can accurately split various data, which is conducive to improving the accuracy of parameter calculation.

[0101] S334, calculating the anesthetic drug attachment parameter M1 according to the sampling interval, the attachment input concentration parameter set, the attachment output concentration parameter set, and the attachment output flow parameter set;

[0102] Based on the above analysis, we know that the difference in inlet and outlet concentrations is caused by the adhesion to the inner wall of the pipe. Therefore, the calculation expression of the anesthetic adhesion parameter M1 is: , where j represents the parameter number, m represents the penetration point number, c j ' represents the attachment input concentration parameter, c j represents the attachment output concentration parameter, Q j Indicates the attached output traffic parameters.

[0103] S34. Correct the initial release amount of the anesthetic according to the attachment parameter and output the release amount of the anesthetic.

[0104] The formula for calculating the amount of anesthetic released is: +M1, where K1 represents the concentration parameter error, k2 represents the flow parameter error, and the value range of k1 and k2 is 0-1.

[0105] Through the above calculation formula, the initial release amount of anesthetics is effectively corrected, thereby avoiding various instrument errors and attachment errors and effectively improving the accuracy of the calculation.

[0106] S4, calculating the remaining amount of anesthetic according to the total amount of anesthetic and the amount of anesthetic released, the calculation formula of the remaining amount of anesthetic is M 余 =M 总 -M, where M 总 represents the total amount of anesthetic, and M represents the amount of anesthetic released;

[0107] S5. Output monitoring results according to the remaining amount of anesthetic.

[0108] S51, setting at least one alarm threshold;

[0109] Set at least one alarm threshold according to actual needs, preferably 2-3 alarm thresholds, such as 20% and 10%;

[0110] S52, obtaining the remaining amount of anesthetic;

[0111] S53: Compare the remaining amount of the anesthetic with each of the alarm thresholds, and output corresponding monitoring results according to the comparison results.

[0112] Calculate the ratio between the remaining amount of anesthetic and the total amount of anesthetic, that is, b=M 余 / M 总 ;

[0113] If b>20%, the system is judged to be in normal working state and the corresponding monitoring results are output;

[0114] If 10%≤b≤20%, it is determined that the first alarm condition is met and the corresponding alarm program is output as the monitoring result;

[0115] If b is less than 10%, it is determined that the second alarm condition is met, and the corresponding alarm program is output as the monitoring result.

[0116] Implementation 2:

[0117] Reference Figure 3 This embodiment, as an optional embodiment of the present application, discloses an anesthetic drug remaining monitoring system, including a first parameter acquisition module and a second parameter acquisition module, wherein the first parameter module and the second parameter acquisition module are arranged in parallel and are respectively used to obtain different parameters; the output end of the first parameter module is communicatively connected to the first calculation module, and the output end of the second parameter acquisition module is communicatively connected to the second calculation module;

[0118] The output ends of the first calculation module and the second calculation module are respectively connected to the output and early warning module for communication;

[0119] Compared with the prior art, the output concentration parameter set and the output flow parameter set of the technical solution described in the present application can collect and update the data set in real time during anesthesia, and the anesthetic residue can also be updated according to the update results. That is, the application can update the anesthetic residue in real time, effectively improving the timeliness of monitoring;

[0120] Secondly, in the calculation process of this application, this application performs real-time integral calculation of the anesthetic consumption based on the output concentration parameter set and the output flow parameter set. It is not only more timely, but the above calculation method can also ignore the impact of flow and concentration fluctuations on the calculation results, effectively improving the accuracy of the calculation. At the same time, the above technical means can also realize real-time monitoring of the remaining anesthetic, which is beneficial for medical staff to control the anesthesia process and ensure the continuity of surgical anesthesia.

[0121] Finally, compared with the existing technology, the present application can also reflect the consumption rate of anesthetics in real time, so that medical staff can check at any time whether the consumption of anesthetics in different surgical time periods is the same as the expected consumption, thereby providing data support for the adjustment of the supply of anesthetics.

[0122] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for monitoring the remaining amount of anesthetics, characterized in that: The following steps are involved: Obtain the total amount of anesthetic drugs; Acquiring a sampling interval, an anesthetic drug output concentration parameter set, an anesthetic drug output flow parameter set, and an anesthetic drug input concentration parameter set; Performing discrete integral calculation according to the sampling interval, the output concentration parameter set, and the output flow parameter set to obtain an initial release amount of the anesthetic; Comparing the output concentration parameter set with the input concentration parameter set, extracting an attachment input concentration parameter set, an attachment output concentration parameter set, and an attachment output flow parameter set; Calculate the anesthetic drug attachment parameter M according to the sampling interval, the attachment input concentration parameter set, the attachment output concentration parameter set, and the attachment output flow parameter set. 1； Correcting the initial release amount of the anesthetic according to the attachment parameter and outputting the release amount of the anesthetic; The remaining amount of anesthetic is calculated based on the total amount of anesthetic and the amount of anesthetic released. The calculation formula of the remaining amount of anesthetic is M 余 =M 总 -M, where M 总 represents the total amount of anesthetic, and M represents the amount of anesthetic released; The monitoring result is outputted according to the remaining amount of the anesthetic.

2. The method for monitoring the remaining amount of anesthetic according to claim 1, wherein: The step of obtaining the sampling interval, the anesthetic drug output concentration parameter set, the anesthetic drug output flow parameter set, and the anesthetic drug input concentration parameter set comprises the following steps: Set the sampling interval Δt; completing data sampling according to the sampling interval; The collected concentration parameters are aggregated and output as a concentration parameter set {c1, c2, ..., c i ,...,c n }, where i represents the number set according to the sampling order, and n represents the total number of samples; The collected traffic parameters are aggregated and output as a traffic parameter set {Q1, Q2, ..., Q i ,...,Q n }, where i represents the number set according to the sampling order, and n represents the total number of samples; The collected anesthetic concentration parameters input to the anesthesia delivery tube are aggregated and output as an anesthetic input concentration parameter set {c1', c2', ..., c i ',...,c n '}, where i represents the number set according to the sampling order, and n represents the total number of samples.

3. The method for monitoring the remaining amount of anesthetic according to claim 2, wherein: The comparing the output concentration parameter set with the input concentration parameter set to extract the attached input concentration parameter set, the attached output concentration parameter set and the attached output flow parameter set comprises the following steps: Set the penetration point judgment function, the expression of the judgment function is c m ≥ac m ', where a is a constant with a value range of 0.97-1, and m represents the penetration point number; Comparing the output concentration parameter set with each parameter in the input concentration parameter set in sequence according to a determination formula; The first parameter that satisfies the judgment function is taken as the penetration point; According to the penetration point, the attached input concentration parameter set {c1', c2', ..., c m '}; Extract the attached output concentration parameter set {c1, c2, ..., c m }; Extract the attached output flow parameter set {Q1, Q2, ..., Q m }.

4. The method for monitoring the remaining amount of anesthetic according to claim 3, wherein: The calculation formula for the initial release amount of the anesthetic is: , where c i Indicates the concentration parameter numbered i, Q i It represents the traffic parameter numbered i, Δt represents the sampling interval, and n represents the total number of samples. Its calculation expression is n=3600T / Δt, where T represents the total sampling time in h.

5. The method for monitoring the remaining amount of anesthetic according to claim 4, wherein: The calculation expression of the anesthetic attachment parameter M1 is , where j represents the parameter number, m represents the penetration point number, c j ' represents the attachment input concentration parameter, c j represents the attachment output concentration parameter, Q j Indicates the attached output traffic parameters.

6. The method for monitoring the remaining amount of anesthetic according to claim 5, characterized in that: The calculation formula for the anesthetic release amount is: +M1, where K1 represents the concentration parameter error and k2 represents the flow parameter error.

7. The method for monitoring the remaining amount of anesthetic according to claim 1, wherein: Outputting the monitoring result according to the remaining amount of the anesthetic drug comprises the following steps: Set at least one alarm threshold; Obtain the remaining amount of anesthetic; The remaining amount of the anesthetic is compared with each of the alarm thresholds, and corresponding monitoring results are output according to the comparison results.

8. A monitoring system based on the monitoring method according to any one of claims 1 to 7, characterized in that: include: A first parameter acquisition module is used to obtain the total amount of anesthetic; A second parameter acquisition module is used to obtain an output concentration parameter set and an output flow parameter set of the anesthetic drug; a first calculation module, configured to calculate the anesthetic release amount according to the output concentration parameter and the output flow parameter; a second calculation module, configured to calculate the remaining amount of anesthetic drugs according to the total amount of anesthetic drugs and the amount of anesthetic drug released; The output and warning module is used to output monitoring results according to the remaining amount of anesthetic.

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