Narcotic remaining amount monitoring method and monitoring system

Abstract

The invention discloses an anesthetic remaining amount monitoring method and system, and the method comprises the steps: firstly obtaining the total amount of anesthetics, then obtaining an output concentration parameter set of the anesthetics and an output flow parameter set of the anesthetics, and calculating the anesthetic release amount according to the output concentration parameter set and the output flow parameter set; calculating the residual anesthetic according to the total anesthetic amount and the anesthetic release amount, and finally outputting a monitoring result according to the residual anesthetic. According to the technical scheme, the output concentration parameter set and the output flow parameter set can be collected in real time and update the data set in the anesthesia process, meanwhile, the anesthetic remaining amount can be updated according to the updating result, in other words, the anesthetic remaining amount can be updated in real time, and the monitoring timeliness is effectively improved; real-time integral calculation is carried out on the consumption of the anesthetic according to the output concentration parameter set and the output flow parameter set, the influence of flow and concentration fluctuation on a calculation result can be ignored, and the calculation precision is effectively improved.

Description

Technical Field

[0001] This application relates to the technical field of medical devices, and particularly to a method and a monitoring system for monitoring the remaining amount of anesthetic drugs. Background Art

[0002] Nitrous oxide is an important anesthetic drug. During anesthesia, it is generally supplied to patients for breathing in the form of a mixed gas to achieve anesthesia. In the prior art, the delivery amount of anesthetic drugs is generally judged by observing the anesthesia state of patients. However, there is a lack of accurate monitoring means for the remaining amount of anesthetic drugs, resulting in medical staff being unable to accurately control the remaining amount of anesthetic drugs. Summary of the Invention

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

[0004] This application realizes the above purpose through the following technical solutions: A method for monitoring the remaining amount of anesthetic drugs, comprising the following steps: Obtain the total amount of anesthetic drugs; Obtain the output concentration parameter set and the output flow parameter set of the anesthetic drug; Calculate the release amount of the anesthetic drug according to the output concentration parameter set and the output flow parameter set; Calculate the remaining amount of the anesthetic drug according to the total amount of the anesthetic drug and the release amount of the anesthetic drug. The calculation formula for the remaining amount of the anesthetic drug is M 余 =M 总 -M, where M 总 represents the total amount of the anesthetic drug, and M represents the release amount of the anesthetic drug; Output the monitoring result according to the remaining amount of the anesthetic drug.

[0005] Optionally, obtaining the output concentration parameter set and the output flow parameter set of the anesthetic drug includes the following steps: Set the sampling interval Δt; Complete data sampling according to the sampling interval; Collect the obtained concentration parameters into the output concentration parameter set {c1, c2,..., c i ,..., c n}, where i represents the label set according to the sampling sequence, and n represents the total number of samplings; Collect the obtained flow parameters into the output flow parameter set {Q1, Q2,..., Q i ,..., Q n}, where i represents the label set according to the sampling sequence, and n represents the total number of samplings.

[0006] Optionally, calculating the anesthetic release amount according to the output concentration parameter set and the output flow rate parameter set includes the following steps: Obtain the sampling interval, the output concentration parameter set, and the output flow rate parameter set; Perform discrete integral calculation according to the sampling interval, the output concentration parameter set, and the output flow rate parameter set to obtain the initial anesthetic release amount; Obtain the anesthetic adhesion parameter M1; Correct the initial anesthetic release amount according to the adhesion parameter, and output the anesthetic release amount.

[0007] Optionally, the calculation formula for the initial anesthetic release amount is , where c i represents the concentration parameter numbered i, Q i represents the flow rate parameter numbered i, Δt represents the sampling interval, n represents the total number of samplings, and its calculation expression is n = 3600T / Δt, where T represents the total sampling duration in hours.

[0008] Optionally, the calculation formula for the anesthetic release amount is + M1, where K1 represents the concentration parameter error and k2 represents the flow rate parameter error.

[0009] Optionally, obtaining the anesthetic adhesion parameter M1 includes the following steps: Obtain the sampling interval, the output concentration parameter set, and the output flow rate parameter set; Obtain the anesthetic input concentration parameter set {c1', c2',..., c i ',..., c n '}; Compare the output concentration parameter set with the input concentration parameter set, and extract the attached input concentration parameter set, the attached output concentration parameter set, and the attached output flow rate parameter set; Calculate the anesthetic adhesion parameter M1 according to the sampling interval, the attached input concentration parameter set, the attached output concentration parameter set, and the attached output flow rate parameter set.

[0010] Optionally, comparing the output concentration parameter set with the input concentration parameter set and extracting the attached input concentration parameter set, the attached output concentration parameter set, and the attached output flow rate parameter set includes the following steps: Set a penetration point determination function, and the expression of the determination function is c m ≥ ac m ', where a is a constant, and its value range is 0.97 - 1, and m represents the penetration point serial number; Compare each parameter in the output concentration parameter set with each parameter in the input concentration parameter set in turn according to the determination formula; Take the first parameter that satisfies the decision function as the penetration point; Extract the attached input concentration parameter set {c1', c2',..., c m '} from the input concentration parameter set according to the penetration point; extract the attached output concentration parameter set {c1, c2,..., c m} from the output concentration parameter set; Extract the attached output flow rate parameter set {Q1, Q2,..., Q m} from the output flow rate parameter set.

[0011] Optionally, the calculation expression of the anesthetic attachment parameter M1 is , where j represents the parameter number, m represents the penetration point sequence number, c j ' represents the attached input concentration parameter, c j represents the attached output concentration parameter, Q j represents the attached output flow rate parameter.

[0012] Optionally, according to the monitoring result of the anesthetic residue output, it includes the following steps: Set at least one alarm threshold; Obtain the anesthetic residue; Compare the anesthetic residue with each of the alarm thresholds respectively, and output the corresponding monitoring result according to the comparison result.

[0013] Correspondingly, the present application also discloses a monitoring system based on the above monitoring method, including: The first parameter acquisition module is used to acquire the total amount of anesthetic; The second parameter acquisition module is used to acquire the output concentration parameter set of the anesthetic and the output flow rate parameter set of the anesthetic; The first calculation module is used to calculate the anesthetic release amount according to the output concentration parameter and the output flow rate parameter; The second calculation module is used to calculate the anesthetic residue according to the total amount of anesthetic and the anesthetic release amount; The output and warning module is used to output the monitoring result according to the anesthetic residue.

[0014] Compared with the prior art, the present application has the following beneficial effects: The present application first acquires the total amount of anesthetic, then acquires the output concentration parameter set of the anesthetic and the output flow rate parameter set of the anesthetic, and then calculates the anesthetic release amount according to the output concentration parameter set and the output flow rate parameter set; then calculates the anesthetic residue according to the total amount of anesthetic and the anesthetic release amount, and finally outputs the monitoring result according to the anesthetic residue; Compared with the prior art, the output concentration parameter set and the output flow parameter set of the technical solution of the present application can collect and update the data set in real time during the anesthesia process, and at the same time, the remaining amount of anesthetic can also be updated according to the update result, that is, the application can update the remaining amount of anesthetic in real time, effectively improving the timeliness of monitoring; Secondly, in the calculation process of the present application, the present application performs real-time integral calculation on the consumption amount of anesthetic according to the output concentration parameter set and the output flow parameter set. It not only has stronger timeliness, but also the above calculation method can ignore the influence of flow and concentration fluctuations on the calculation result, effectively improving the calculation accuracy. At the same time, through the above technical means, real-time monitoring of the remaining amount of anesthetic is also realized, which is beneficial for medical staff to control the anesthesia process and ensure the continuity of surgical anesthesia.

[0015] Finally, compared with the prior art, the present application can also reflect the consumption rate of anesthetic in real time, so as to facilitate medical staff to check at any time whether the consumption amount of anesthetic in different surgical time periods is the same as the expected consumption amount, thereby providing data support for the adjustment of the supply amount of anesthetic. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flowchart of a method for monitoring the remaining amount of anesthetic provided in Embodiment 1 of the present application; Figure 2 is a schematic diagram of the calculation principle of the initial release amount of anesthetic; Figure 3 is a structural diagram of a system for monitoring the remaining amount of anesthetic provided in Embodiment 2 of the present application.

[0017] The realization of the purpose, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] It should be noted that all directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship and movement conditions between components in a specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indications will also change accordingly.

[0020] In the present invention, unless otherwise clearly defined and limited, terms such as "connection" and "fixation" shall be understood in a broad sense. For example, "fixation" may be a fixed connection, a detachable connection, or an integral body; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements or the interaction relationship between two elements, unless otherwise clearly defined. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, such descriptions of "first", "second", etc. are only for descriptive purposes and should not be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the meaning of "and / or" appearing throughout the text includes three parallel scenarios. Taking "robot coordinate system and / or m" as an example, it includes the robot coordinate system scenario, or the m scenario, or the scenario where the robot coordinate system and m are satisfied simultaneously. In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0022] Embodiment 1:

[0023] Referring to Figure 1 , this embodiment discloses an anesthetic residue monitoring method, including the following steps: S1. Obtain the total amount of anesthetic; Obtain the total amount of anesthetic prepared during the operation through medical data; S2. Obtain the output concentration parameter set and output flow parameter set of the anesthetic; S21. Set the sampling interval Δt; The sampling interval Δt refers to the time interval between any two adjacent samplings. For example, Δt = 0.1 s means that every 0.1 s, the flow sensor completes one sampling, and at the same time, the concentration sensor completes one sampling; It should be noted that the concentration sensor is preferably a non-dispersive infrared sensor.

[0024] S22. Complete data sampling according to the sampling interval; After setting the sampling interval, control the corresponding sensors to collect the corresponding data; S23. Aggregate the collected concentration parameters into the output concentration parameter set {c1, c2,..., c i ,..., cn}, where i represents the label set according to the sampling sequence, and n represents the total number of samplings; Obtain all the concentration parameters obtained through the sensor, and number each concentration parameter according to the sampling time sequence respectively. For example, the first sampling data obtained is numbered 1, which is represented by i; n represents the total number of samplings; thus, output the concentration parameter set {c1, c2,..., c i ,..., c n}; It should be noted that the total number of samplings is closely related to the sampling interval. For example, if the operation time is 2 hours and the sampling time interval is 0.1 s, then 10 samplings are performed per second. Therefore, during the 2-hour operation, the total number of samplings is 72,000 times.

[0025] S24. Aggregate the collected flow parameters and output the flow parameter set {Q1, Q2,..., Q i ,..., Q n}, where i represents the label set according to the sampling sequence, and n represents the total number of samplings.

[0026] Use the same method as in step S23 to output the flow parameter set {Q1, Q2,..., Q i ,..., Q n}; It should be noted that the same set of numbers is used in the two data sets, and the purpose is to quickly correspond to the parameters to facilitate subsequent calculations; At the same time, the same number indicates that the sampling times of the two are the same, that is, at the same moment, both the concentration sampling and the flow sampling are to be carried out, and a mapping relationship is established between the flow parameter and the concentration parameter at the same moment; S3. Calculate the anesthetic release amount according to the output concentration parameter set and the output flow parameter set; S31. Obtain the sampling interval, the output concentration parameter set, and the output flow parameter set; Obtain the output concentration parameter set {c1, c2,..., c i ,..., c n} and the output flow parameter set {Q1, Q2,..., Q i ,..., Q n} obtained in step S2, and at the same time obtain the sampling interval Δt; S32. Perform discrete integral calculation according to the sampling interval, the output concentration parameter set, and the output flow parameter set to obtain the initial anesthetic release amount; Refer to 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, it is considered that within the sampling interval, the concentration parameter and the flow rate parameter are constants. Therefore, the entire anesthetic output process is divided into n regions according to the sampling interval, and the area of each region is the release amount of the anesthetic within the sampling interval. By summing up all regions, the initial release amount of the anesthetic can be obtained; Therefore, the calculation formula for the initial release amount of the anesthetic is , where c i represents the concentration parameter numbered i, Q i represents the flow rate parameter numbered i, Δt represents the sampling interval, n represents the total number of samples, and its calculation expression is n = 3600T / Δt, where T represents the total sampling duration and its unit is hours; It should be noted that the upper limit of the total sampling duration is the total surgical duration. For example, if the total surgical duration is 2 hours and the sampling interval is 0.1 s, then n = 3600 * 2 * 10 = 72000; this means that 72000 groups of data will be collected during the entire surgery.

[0027] S33. Obtain the anesthetic adhesion parameter M1; S331. Obtain the sampling interval, the output concentration parameter set, and the output flow rate parameter set; Obtain the output concentration parameter set {c1, c2,..., c i ,..., c n} and the output flow rate parameter set {Q1, Q2,..., Q i ,..., Q n} obtained in step S2, and at the same time obtain the sampling interval Δt; S332. Obtain the anesthetic input concentration parameter set {c1', c2',..., c i ',..., c n '}; By setting a concentration sensor at the inlet end of the anesthetic delivery tube to collect the concentration of the anesthetic input into the anesthetic delivery tube, and at the same time numbering according to the same numbering rule as in step S2, obtain the input concentration parameter set {c1', c2',..., c i ',..., c n '}; S333. Compare the output concentration parameter set with the input concentration parameter set, and extract the attached input concentration parameter set, the attached output concentration parameter set, and the attached output flow rate parameter set; S3331. Set a penetration point determination function, and the expression of the determination function is c m ≥ac m ', where a is a constant and its value range is 0.97 - 1, and m represents the penetration point serial number; During the process of transporting anesthetic through a pipeline, part of the anesthetic will adhere to the inner wall of the pipeline. In the initial stage of transporting the anesthetic, the amount of anesthetic adhering to the inner wall of the pipeline is greater than the loss amount caused by air flow. However, as the anesthetic gas continues to flow, the amount of anesthetic adhering to the inner wall of the pipeline will tend to reach saturation. At this time, the amount of anesthetic adhering and the loss amount will be in dynamic equilibrium. Therefore, the amount of anesthetic adhering is a process of first increasing and finally approaching zero; Meanwhile, in the initial stage of adhesion, the concentration of anesthetic at the outlet end will decrease due to adhesion. As adhesion continues, the concentration at the outlet end will gradually approach the concentration at the inlet end in the later stage and finally become equal; Based on the above principle and considering measurement errors, the end time of adhesion can be quickly calibrated by setting a calculation constant, that is, the breakthrough point is determined. Therefore, the expression of the decision function is c m ≥ac m ', where a is a constant, and its value range is 0.97 - 1. m represents the breakthrough point serial number, that is, the time node corresponding to the breakthrough point; S3332. Compare each parameter in the output concentration parameter set and the input concentration parameter set according to the decision formula in turn; Extract the input concentration parameter c1' from the input concentration parameter set {c1', c2',..., c i ',..., c n '}. At the same time, extract the output concentration parameter c1 from the output concentration parameter set {c1, c2,..., c i ,..., c n}. Compare the input concentration parameter c1' and the output concentration parameter c1. If c1≥ac1' is satisfied, the first point is the breakthrough point. Otherwise, compare the input concentration parameter c2' and the output concentration parameter c2 in the same way; S3333. Take the first parameter that satisfies the decision function as the breakthrough point; Take the first parameter that satisfies the decision function as the breakthrough point. For example, if the parameter numbered 10000 first satisfies the decision function, then take the parameter numbered 10000 as the breakthrough point; It should be noted that based on the principle of obtaining the breakthrough point, the breakthrough point serial number m is a positive integer not greater than the total number of samples n.

[0028] S3334. Extract the adhesion input concentration parameter set {c1', c2',..., c m '} from the input concentration parameter set according to the breakthrough point; extract the adhesion output concentration parameter set {c1, c2,..., c m} from the output concentration parameter set; Obtain 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 breakthrough point, delete all parameters with numbers greater than the breakthrough point number, and retain and output the remaining parameters, so as to obtain the attached input concentration parameter set {c1', c2',..., c m '} and the attached output concentration parameter set {c1, c2,..., c m}.

[0029] S3335. Extract the attached output flow rate parameter set {Q1, Q2,..., Q m} from the output flow rate parameter set.

[0030] Use the same method as in step S3334 to obtain the attached output flow rate parameter set {Q1, Q2,..., Q m}; Based on the foregoing analysis, it can be seen that only in the stage where the inner wall of the pipeline is not completely attached, the output amount of the anesthetic will decrease. That is, taking the breakthrough point as the demarcation point, the total output amount of the anesthetic before the breakthrough point is affected by the attachment and decreases, and there is almost no influence after that. Therefore, through the above method, various data can be accurately split, which is beneficial to improving the accuracy of parameter calculation.

[0031] S334. Calculate the anesthetic attachment parameter M1 according to the sampling interval, the attached input concentration parameter set, the attached output concentration parameter set, and the attached output flow rate parameter set; Based on the foregoing analysis, it can be seen that the concentration difference between the inlet and outlet is generated due to the attachment of the inner wall of the pipeline. Therefore, the calculation expression of the anesthetic attachment parameter M1 is , where j represents the parameter number, m represents the breakthrough point sequence number, c j ' represents the attached input concentration parameter, c j represents the attached output concentration parameter, Q j represents the attached output flow rate parameter.

[0032] S34. Correct the initial release amount of the anesthetic according to the attached parameter, and output the release amount of the anesthetic.

[0033] The calculation formula for the release amount of the anesthetic is +M1, where K1 represents the concentration parameter error, k2 represents the flow rate parameter error, and the value ranges of k1 and k2 are 0-1.

[0034] Through the above calculation formula, the initial release amount of the anesthetic is effectively corrected, thereby avoiding various instrument errors and attachment errors, and effectively improving the calculation accuracy.

[0035] S4. Calculate the remaining amount of anesthetic based on the total amount of anesthetic and the released amount of anesthetic. The calculation formula for the remaining amount of anesthetic is M 余 =M 总 -M, where M 总 represents the total amount of anesthetic, and M represents the released amount of anesthetic; S5. Output the monitoring result according to the remaining amount of anesthetic.

[0036] S51. Set at least one alarm threshold; Set at least one alarm threshold according to actual needs. Preferably, set 2 - 3 alarm thresholds, such as 20% and 10%; S52. Obtain the remaining amount of anesthetic; S53. Compare the remaining amount of anesthetic with each of the alarm thresholds respectively, and output the corresponding monitoring result according to the comparison result.

[0037] Calculate the ratio between the remaining amount of anesthetic and the total amount of anesthetic, that is, b = M 余 / M 总 ; If b > 20%, it is determined that the system is in normal working condition, and the corresponding monitoring result is output; If 10% ≤ b ≤ 20%, it is determined that the first alarm condition is reached, and the corresponding alarm program is output as the monitoring result; If b < 10%, it is determined that the second alarm condition is reached, and the corresponding alarm program is output as the monitoring result.

[0038] Embodiment 2:

[0039] Referring to Figure 3 , as an alternative embodiment of the present application, it discloses an anesthetic remaining amount monitoring system, including a first parameter acquisition module and a second parameter acquisition module. The first parameter module and the second parameter module are arranged in parallel and are respectively used to acquire different parameters; the output end of the first parameter module is communicatively connected to a first calculation module, and the output end of the second parameter acquisition module is communicatively connected to a second calculation module; The output ends of the first calculation module and the second calculation module are respectively communicatively connected to an output and warning module; Compared with the prior art, the output concentration parameter set and the output flow parameter set of the technical solution of the present application can be collected and updated in real time during the anesthesia process, and at the same time, the remaining amount of anesthetic can also be updated according to the update result, that is, the application can update the remaining amount of anesthetic in real time, effectively improving the timeliness of monitoring; Secondly, in the calculation process of the present application, the present application performs real-time integral calculation on the consumption amount of anesthetic according to the output concentration parameter set and the output flow rate parameter set. It not only has stronger timeliness, but also the above calculation method can ignore the influence of flow rate and concentration fluctuations on the calculation result, effectively improving the calculation accuracy. At the same time, through the above technical means, real-time monitoring of the remaining amount of anesthetic is also realized, which is beneficial for medical staff to control the anesthesia process and ensure the continuity of surgical anesthesia.

[0040] Finally, compared with the prior art, the present application can also reflect the consumption rate of anesthetic in real time, so as to facilitate medical staff to check at any time whether the consumption amount of anesthetic in different surgical time periods is the same as the expected consumption amount, thereby providing data support for the adjustment of the supply amount of anesthetic.

[0041] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. A method for monitoring the remaining amount of anesthetic, characterized in that, Including the following steps: Obtain the total amount of anesthetic; Obtain the output concentration parameter set of the anesthetic and the output flow parameter set of the anesthetic; Calculate the anesthetic release amount according to the output concentration parameter set and the output flow parameter set; Calculate the remaining amount of anesthetic based on the total amount of anesthetic and the anesthetic release amount. The calculation formula for the remaining amount of anesthetic is M 余 = M 总 - M, where M 总 represents the total amount of anesthetic, and M represents the anesthetic release amount; Output the monitoring result according to the remaining amount of anesthetic.

2. The method for monitoring the remaining amount of anesthetic according to claim 1, characterized in that, The obtaining of the output concentration parameter set of the anesthetic and the output flow parameter set of the anesthetic includes the following steps: Set the sampling interval Δt; Complete data sampling according to the sampling interval; The collected concentration parameters are grouped and output as a concentration parameter set {c1, c2,..., c i ,..., c n}, where i represents the label set according to the sampling sequence, and n represents the total number of samplings; The collected flow parameters are aggregated and output as a set of flow parameters {Q1, Q2,..., Q i ,..., Q n}, where i represents the label set according to the sampling order, and n represents the total number of samplings.

3. The method for monitoring the remaining amount of anesthetic according to claim 1, wherein The calculating of the anesthetic release amount according to the output concentration parameter set and the output flow parameter set includes the following steps: Obtain the sampling interval, the output concentration parameter set and the output flow parameter set; Perform discrete integral calculation according to the sampling interval, the output concentration parameter set and the output flow parameter set to obtain the initial anesthetic release amount; Obtain the anesthetic attachment parameter M1; Correct the initial anesthetic release amount according to the attachment parameter and output the anesthetic release amount.

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 represents the concentration parameter numbered i, Q i represents the flow parameter numbered i, Δt represents the sampling interval, n represents the total number of samplings, and its calculation expression is n = 3600T / Δt, where T represents the total sampling duration in hours.

5. The method for monitoring the remaining amount of anesthetic according to claim 3, wherein The calculation formula for the anesthetic release amount is + M1, where K1 represents the concentration parameter error and k2 represents the flow parameter error.

6. The method for monitoring the remaining amount of anesthetic according to claim 3, wherein The obtaining of the anesthetic attachment parameter M1 includes the following steps: Obtain the sampling interval, the output concentration parameter set and the output flow parameter set; Obtain the set of anesthetic input concentration parameters {c1', c2',..., c i ',..., c n '}; Compare the output concentration parameter set with the input concentration parameter set, and extract the attachment input concentration parameter set, the attachment output concentration parameter set and the attachment output flow parameter set; Calculate the anesthetic 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.

7. The method for monitoring the remaining amount of anesthetic according to claim 6, wherein The comparing of the output concentration parameter set with the input concentration parameter set and extracting the attachment input concentration parameter set, the attachment output concentration parameter set and the attachment output flow parameter set includes the following steps: Set a breakthrough point determination function, and the expression of the determination function is c m ≥ac m ', where a is a constant, and its value range is 0.97 - 1, and m represents the breakthrough point serial number; Compare each parameter in the output concentration parameter set with each parameter in the input concentration parameter set in turn according to the determination formula; Take the first parameter that satisfies the determination function as the penetration point; Extract the attached input concentration parameter set {c1', c2',..., c m '} from the input concentration parameter set according to the penetration point; extract the attached output concentration parameter set {c1, c2,..., c m} from the output concentration parameter set; Extract the attached output flow parameter set {Q1, Q2,..., Q from the output flow parameter set m}.

8. The method for monitoring the remaining amount of anesthetic according to claim 6, wherein The calculation expression of the anesthetic attachment parameter M1 is as follows , where j represents the parameter number, m represents the penetration point number, and c j ' represents the attachment input concentration parameter, and c j represents the attachment output concentration parameter, and Q j represents the attachment output flow parameter.

9. A method for monitoring the remaining amount of anesthetic according to claim 1, characterized in that, The outputting of the monitoring result according to the remaining amount of anesthetic includes the following steps: Set at least one alarm threshold; Obtain the remaining amount of anesthetic; Compare the remaining amount of anesthetic with each of the alarm thresholds respectively, and output the corresponding monitoring result according to the comparison result.

10. A monitoring system based on the monitoring method according to any one of claims 1-9, characterized in that, Including: The first parameter acquisition module is used to obtain the total amount of anesthetic; The second parameter acquisition module is used to obtain the output concentration parameter set of the anesthetic and the output flow parameter set of the anesthetic; The first calculation module is used to calculate the anesthetic release amount according to the output concentration parameter and the output flow parameter; The second calculation module is used to calculate the remaining amount of anesthetic according to the total amount of anesthetic and the anesthetic release amount; The output and early warning module is used to output the monitoring result according to the remaining amount of anesthetic.

Images