A high-precision control method and system for ventilator equipment

Abstract

The present invention belongs to the technical field of ventilator operation control, and discloses a high-precision control method and system for ventilator equipment. When controlling the operating state of the ventilator, the present invention analyzes the patient's respiratory state and the ventilator's operating state, and then identifies the specific control direction. This analysis method can accurately control the respiratory parameters, achieve personalized treatment, improve comfort and compliance, and ensure the accuracy of oxygenation and ventilation. At the same time, it can monitor the performance of ventilator components, warn of faults in advance, reduce sudden faults, and ensure safety. The present invention divides the operating process of the target ventilator into monitoring time periods, and then performs real-time analysis and control in different time periods. This analysis method can capture the patient's breathing changes in real time, such as dynamically adapting parameters according to the difference in breathing during sleep and activity, and can optimize treatment for special time periods such as the peak of disease onset to improve the effect.

Description

Technical Field

[0001] The invention belongs to the technical field of ventilator operation control, and relates to a high-precision control method and system for ventilator equipment. Background Art

[0002] A ventilator is a medical device that is mainly used to help or replace a patient's breathing, especially when the patient's spontaneous breathing ability is impaired or lost. The accuracy of the ventilator is directly related to the patient's ventilation and treatment effects. If the ventilator's accuracy is not enough, it may lead to insufficient or excessive ventilation, thus affecting the patient's respiratory function. Therefore, the research on high-precision control of ventilator equipment is of great significance.

[0003] In the prior art, there are also related solutions for ventilator operation control, for example, the Chinese invention patent application with publication number CN114397808A for a high-precision control system and method for a ventilator proportional valve, which includes: a feedforward controller and a closed-loop PID control system, and the closed-loop PID control system includes a position PID controller and a current PID controller. The influence of nonlinear factors such as the current "dead zone" and friction between system devices is eliminated, the control accuracy of the valve core position is improved, and the high-precision adjustment of the proportional valve output flow and air pressure is achieved.

[0004] In addition, a Chinese invention patent application for a ventilator control method and system with publication number CN116736704A specifically includes: S1, establishing a ventilator ventilation control sequence, which includes a patient monitoring end, a central control end, and a ventilation end, which are electrically connected in a tree-like structure; S2, the patient monitoring end collects data, including blood pressure, blood oxygen, heart rate, respiratory rate and inspiratory pressure, and sends it to the control center end every unit time; S3, the control center end is equipped with a computing control unit to pre-process the data and send it to the model together with historical data for training and reasoning; S4, obtaining the ventilation control results under PID mode, and combining them with the model reasoning results; S5, the ventilation end adjusts the position of the ventilation valve according to the instruction to control the size of the air output and the frequency of air pressure changes.

[0005] Although the above schemes have proposed some solutions for ventilator operation control, they still have certain limitations: the existing ventilator operation control only monitors and regulates the existing ventilator operation data, without further identifying the cause of abnormal status. This analysis method is difficult to detect potential problems in a timely manner, which may affect the treatment effect and patient safety. At the same time, the lack of in-depth analysis of abnormal causes will also increase maintenance costs and limit the optimization and upgrade of ventilator functions. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a high-precision control method and system for a ventilator device is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The first aspect of the present invention proposes a high-precision control method for ventilator equipment, including: S1, monitoring period division: start the target ventilator of the target patient, divide the operation process of the target ventilator into monitoring periods based on pre-set equal intervals, and use the end time of each monitoring period as the adjustment time of the corresponding monitoring period.

[0008] S2. Analysis of the target patient's breathing process: monitor the target patient's breathing process during the current monitoring period, and analyze the target patient's breathing quality during the current monitoring period, wherein the breathing quality specifically includes the evaluation of the breathing rate and the evaluation of the tidal volume.

[0009] S3. Identification of abnormal respiratory status of target patients: Based on the respiratory quality of the target patient in the current monitoring period, determine whether there is any abnormality in the respiratory status of the target patient in the current monitoring period. If so, analyze the operating status of the target ventilator.

[0010] S4. Analysis of the target ventilator's operating status: Perform quality monitoring on the target ventilator and analyze the target ventilator's operating quality during the current monitoring period. The operating quality includes tidal volume compliance, air pressure compliance, and human-machine synchronization.

[0011] S5. Identification of abnormal ventilator operating status: Based on the operating quality of the target ventilator in the current monitoring period, determine whether the target ventilator has an abnormal device status during the current monitoring period. If so, issue a warning; if not, control the ventilator operating status.

[0012] S6. Ventilator operating status control: Based on the target patient's breathing quality during the current monitoring period and the target ventilator's operating quality during the current monitoring period, the specific control direction within the current monitoring period is identified, and the control direction includes respiratory parameter regulation and equipment operation and maintenance, and then the ventilator operating status is controlled at the adjustment time corresponding to the current monitoring period.

[0013] The second aspect of the present invention proposes a high-precision control system for a ventilator device, including: a monitoring period division module, used to start a target ventilator for a target patient, divide the operation process of the target ventilator into monitoring periods based on pre-set equal intervals, and use the end time of each monitoring period as the adjustment time of the corresponding monitoring period.

[0014] The target patient breathing process analysis module is used to monitor the target patient's breathing process during the current monitoring period and analyze the target patient's breathing quality during the current monitoring period, wherein the breathing quality specifically includes the breathing rate evaluation and the tidal volume evaluation.

[0015] The target patient's respiratory state abnormality identification module is used to determine whether the target patient's respiratory state in the current monitoring period is abnormal based on the target patient's respiratory quality in the current monitoring period. If so, analyze the target ventilator operation state.

[0016] The target ventilator operation status analysis module is used to monitor the quality of the target ventilator and analyze the operation quality of the target ventilator in the current monitoring period. The operation quality includes tidal volume compliance, air pressure compliance and human-machine synchronization.

[0017] The ventilator operation status abnormality identification module is used to determine whether the target ventilator has an equipment abnormality during the current monitoring period based on the operation quality of the target ventilator during the current monitoring period. If so, an early warning is issued; if not, the ventilator operation status is controlled.

[0018] The ventilator operation status control module is used to identify the specific control direction within the current monitoring period based on the breathing quality of the target patient during the current monitoring period and the operation quality of the target ventilator during the current monitoring period. The control direction includes breathing parameter regulation and equipment operation and maintenance, and then the ventilator operation status is controlled at the adjustment time corresponding to the current monitoring period.

[0019] Compared with the prior art, the present invention has the following beneficial effects: (1) When controlling the operating state of the ventilator, the present invention analyzes the patient's respiratory state and the operating state of the ventilator to identify the specific control direction. This analysis method can accurately control the respiratory parameters, achieve personalized treatment, improve comfort and compliance, and ensure the accuracy of oxygenation and ventilation. At the same time, it can monitor the performance of ventilator components, warn of faults in advance, reduce sudden faults, ensure safety, and enable the equipment to operate in the best state, reduce wear, extend life, and optimize resource allocation.

[0020] (2) The present invention divides the operation process of the target ventilator into monitoring time periods, and then performs real-time analysis and regulation in different time periods. This analysis method can capture the patient's breathing changes in real time, such as dynamically adapting parameters according to the breathing differences between sleep and activity, and can optimize treatment for special time periods such as the peak of disease onset to improve the effect. At the same time, potential problems of the equipment in each time period can be detected in time, such as motor abnormalities after long-term operation, and the air pressure of components can be reduced by timely reducing parameters to extend the service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0022] Figure 1 It is a schematic diagram for implementing the steps of the method of the present invention.

[0023] Figure 2 It is a schematic diagram of the connection of each module of the system of the present invention.

[0024] Figure 3 A flow chart of a control orientation recognition embodiment provided by the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] See also Figure 1 As shown, the first aspect of the present invention provides a high-precision control method for a ventilator device, including: S1, monitoring period division: starting a target ventilator for a target patient, dividing the operation process of the target ventilator into monitoring periods based on a preset equal interval time, and using the end time of each monitoring period as the adjustment time of the corresponding monitoring period.

[0027] Exemplarily, the interval duration is 10 seconds.

[0028] It should be noted that each monitoring period corresponds to a different adjustment time. Exemplarily, the monitoring period is 10 to 20 seconds, and the corresponding adjustment time is the 20th second.

[0029] It should be noted that the present invention divides the operation process of the target ventilator into monitoring time periods, and then performs real-time analysis and regulation in different time periods. This analysis method can capture the patient's breathing changes in real time, such as dynamically adapting parameters according to the breathing differences during sleep and activity, and can optimize treatment for special time periods such as the peak of disease onset to improve the effect. At the same time, potential problems of the equipment in each time period can be detected in time, such as motor abnormalities after long-term operation, and the air pressure of components can be reduced by timely reducing parameters to extend the life.

[0030] S2. Analysis of the target patient's breathing process: monitor the target patient's breathing process during the current monitoring period, and analyze the target patient's breathing quality during the current monitoring period, wherein the breathing quality specifically includes the evaluation of the breathing rate and the evaluation of the tidal volume.

[0031] It should be explained that the reasons for choosing respiratory rate evaluation and tidal volume evaluation as factors affecting respiratory quality are: 1. Respiratory rate is one of the most basic respiratory parameters, which can intuitively reflect the regulatory function of the patient's respiratory center and the working status of the respiratory muscles. When the respiratory rate is abnormal, it is often an early sign of problems with respiratory function. 2. When using ventilator-assisted breathing, tidal volume is an important monitoring and adjustment parameter. Whether the actual tidal volume delivered meets the needs of the patient directly affects the effectiveness of respiratory support. Accurate assessment of tidal volume can help medical staff determine whether the ventilator settings are reasonable. For example, too high a tidal volume may cause barotrauma, and too low a tidal volume may not meet the patient's ventilation needs. Therefore, tidal volume evaluation is crucial for optimizing breathing.

[0032] In a preferred embodiment of the present invention, the analysis of the respiratory rate evaluation situation requires constructing a respiratory rate evaluation index of the target patient in the current monitoring period, and the specific method is as follows: using a respiratory flow sensor to obtain the respiratory volume of the target patient in the current monitoring period, and then plotting a respiratory volume change curve of the target patient in the current monitoring period with time as the horizontal coordinate and the respiratory volume as the vertical coordinate, locating the position of each peak in the curve, and then marking the horizontal coordinate corresponding to each peak position as each monitored respiratory peak moment.

[0033] The difference between each adjacent monitoring peak moment is calculated to obtain the monitoring duration corresponding to each breathing operation of the target patient in the current monitoring period, and then the monitoring frequency corresponding to each breathing operation of the target patient in the current monitoring period is obtained, which is recorded as f i , where i represents the number of the target patient's breathing operation in the current monitoring period, i=1,2...I, I represents the number of the target patient's breathing operation in the current monitoring period.

[0034] Using the formula The respiratory rate evaluation index RREi of the target patient in the current monitoring period is analyzed and obtained, wherein Δf0 represents the preset allowable respiratory rate difference.

[0035] In a preferred embodiment of the present invention, the analysis of the tidal volume evaluation situation requires constructing a tidal volume evaluation index for the target patient in the current monitoring period, and the specific analysis method is as follows: using a respiratory flow sensor to obtain the tidal volume corresponding to each respiratory operation of the target patient in the current monitoring period, and then performing a mean calculation to obtain the average respiratory tidal volume of the target patient in the current detection period.

[0036] Adjacent breathing operations of the target patient in the current monitoring period are grouped to obtain several breathing operation control groups, and then the tidal volumes corresponding to the breathing operations in each breathing control group are compared to obtain the tidal volume change degree corresponding to each breathing operation control group of the target patient in the current monitoring period.

[0037] Exemplarily, if there are 5 breathing operations in the current monitoring period, they are recorded as: the first breathing operation, the second breathing operation, the third breathing operation, the fourth breathing operation and the fifth breathing operation, and the corresponding breathing operation control groups are: the first breathing operation and the second breathing operation, the second breathing operation and the third breathing operation, the third breathing operation and the fourth breathing operation, and the fourth breathing operation and the fifth breathing operation.

[0038] It should be supplemented that the specific analysis method for obtaining the degree of change of tidal volume corresponding to each respiratory operation control group of the target patient during the current monitoring period is as follows: the tidal volume corresponding to the respiratory operation in each respiratory control group is difference calculated to obtain the tidal volume deviation value corresponding to each respiratory operation control group, and the absolute value of the tidal volume deviation value corresponding to each respiratory operation control group is ratio calculated with a preset allowable tidal volume change value to obtain the degree of change of tidal volume corresponding to each respiratory operation control group of the target patient during the current monitoring period.

[0039] The tidal volume variation corresponding to each breathing operation control group is compared with the preset permissible tidal volume variation threshold. If the tidal volume variation corresponding to a breathing operation control group is greater than the permissible tidal volume variation threshold, the breathing operation control group is recorded as an abnormal breathing operation control group.

[0040] Exemplarily, the permissible tidal volume variation threshold is 0.2.

[0041] The number of the target patient's breathing operation control group and the number of the abnormal breathing operation control group in the current monitoring period are obtained by statistics, and then the tidal volume evaluation index of the target patient in the current monitoring period is obtained by ratio calculation.

[0042] S3. Identification of abnormal respiratory status of target patients: Based on the respiratory quality of the target patient in the current monitoring period, determine whether there is any abnormality in the respiratory status of the target patient in the current monitoring period. If so, analyze the operating status of the target ventilator.

[0043] In a preferred embodiment of the present invention, the specific method of determining whether there is any abnormality in the respiratory state of the target patient in the current monitoring period is as follows: extracting the respiratory rate evaluation index and tidal volume evaluation index of the target patient in the current monitoring period, and then comparing them with the pre-set respiratory rate evaluation index threshold and tidal volume evaluation index threshold, respectively.

[0044] Exemplarily, the respiratory rate evaluation index threshold is 0.25, and the tidal volume evaluation index threshold is 0.2.

[0045] If the respiratory rate evaluation index of the target patient during the current monitoring period is less than the respiratory rate evaluation index threshold or the tidal volume evaluation index is less than the tidal volume evaluation index threshold, it is judged that the respiratory state of the target patient during the current monitoring period is abnormal; otherwise, it is judged that the respiratory state of the target patient during the current monitoring period is not abnormal.

[0046] S4. Analysis of the target ventilator's operating status: Perform quality monitoring on the target ventilator and analyze the target ventilator's operating quality during the current monitoring period. The operating quality includes tidal volume compliance, air pressure compliance, and human-machine synchronization.

[0047] It should be noted that the reasons for selecting tidal volume compliance, air pressure compliance and human-machine synchronization as the operating quality of the target ventilator during the current monitoring period are: 1. Tidal volume is a key factor in evaluating the operating quality of the ventilator. It directly determines the amount of gas exchange during each breath of the patient. Sufficient and appropriate tidal volume is the basis for ensuring effective ventilation of the patient. If the tidal volume does not meet the requirements, whether it is too high or too low, it will have a serious impact on the patient's respiratory function. 2. During the breathing process, air pressure control is crucial. Inspiratory and expiratory air pressures need to be kept within an appropriate range to prevent barotrauma and ensure effective gas exchange. 3. Human-machine synchronization is one of the key goals of ventilator therapy. Good human-machine synchronization can make patients feel more comfortable and reduce the extra work of respiratory muscles. When the ventilator's air delivery and exhalation actions match the patient's spontaneous breathing rhythm, patients will be more likely to accept and tolerate ventilator therapy, thereby improving treatment compliance.

[0048] In a preferred embodiment of the present invention, the analysis of the tidal volume compliance situation requires constructing a tidal volume compliance index of the target ventilator in the current monitoring period, and the specific analysis method is as follows: using a respiratory flow sensor to collect the actual tidal volume of the target ventilator in the current monitoring period, and extracting the displayed tidal volume of the target ventilator in the current monitoring period.

[0049] The tidal volume deviation of the target ventilator in the current monitoring period is obtained by calculating the difference between the displayed tidal volume and the actual tidal volume of the target ventilator in the current monitoring period, and then the tidal volume deviation degree of the target ventilator in the current monitoring period is obtained by calculating the ratio of the absolute value of the tidal volume deviation of the target ventilator in the current monitoring period to the displayed tidal volume, and then the tidal volume compliance index of the target ventilator in the current monitoring period is obtained.

[0050] It should be supplemented that the analysis method for obtaining the tidal volume compliance index of the target ventilator in the current monitoring period is: taking the inverse of the tidal volume deviation of the target ventilator in the current monitoring period to obtain the tidal volume compliance index of the target ventilator in the current monitoring period.

[0051] In a preferred embodiment of the present invention, the analysis of the air pressure compliance situation requires constructing an air pressure compliance index of the target ventilator in the current monitoring period, and the specific analysis method is as follows: use an air pressure sensor to obtain the air pressure of the target ventilator in the current monitoring period, and then draw a pressure change curve of the target ventilator in the current monitoring period with time as the horizontal axis and air pressure as the vertical axis.

[0052] The pressure change curve of the target ventilator in the current monitoring period is evenly distributed based on equal intervals to obtain several pressure monitoring points, the vertical coordinate corresponding to each pressure monitoring point is marked as the monitoring pressure, and the monitoring pressure corresponding to each pressure monitoring point is averaged to obtain the average pressure of the target ventilator in the current monitoring period.

[0053] The difference between the monitored air pressure corresponding to each air pressure monitoring point and the average air pressure is calculated to obtain the air pressure difference of each air pressure monitoring point. Then, the absolute value of the air pressure difference of each air pressure monitoring point is calculated to be ratioed with the average air pressure to obtain the air pressure deviation of each air pressure monitoring point. Then, the average is calculated to obtain the air pressure fluctuation index of the target ventilator in the current monitoring period, and the air pressure compliance index of the target ventilator in the current monitoring period is obtained by analysis.

[0054] It should be added that the analysis method for obtaining the air pressure compliance index of the target ventilator in the current monitoring period is: taking the inverse of the air pressure fluctuation index of the target ventilator in the current monitoring period to obtain the tidal volume compliance index of the target ventilator in the current monitoring period.

[0055] In a preferred embodiment of the present invention, the analysis of the human-machine synchronization situation requires constructing the human-machine synchronization index of the target ventilator in the current monitoring period, and the specific analysis method is as follows: obtain the breathing valve opening time corresponding to each breathing operation of the target ventilator in the current monitoring period and the corresponding breathing time of the target patient.

[0056] The difference between the breathing valve opening time corresponding to each breathing operation of the target ventilator in the current monitoring period and the breathing time of the corresponding target patient is calculated, and then the absolute value is taken to obtain the breathing valve response time of the target ventilator in the current monitoring period, and then the average is calculated to obtain the average breathing valve response time of the target ventilator in the current monitoring period.

[0057] The average breathing valve response time of the target ventilator in the current monitoring period is compared with the preset reference response time to obtain the human-machine synchronization index of the target ventilator in the current monitoring period.

[0058] It should be supplemented that the analysis method of the human-machine synchronization index of the target ventilator in the current monitoring period is: the average breathing valve response time of the target ventilator in the current monitoring period is calculated by difference between the average breathing valve response time of the target ventilator in the current monitoring period and the preset reference response time to obtain the abnormal amount of the response time of the target ventilator in the current monitoring period, and then the ratio is calculated with the reference response time to obtain the abnormal degree of the response time of the target ventilator in the current monitoring period, and the inverse is taken to obtain the human-machine synchronization index of the target ventilator in the current monitoring period.

[0059] S5. Identification of abnormal ventilator operating status: Based on the operating quality of the target ventilator in the current monitoring period, determine whether the target ventilator has an abnormal device status during the current monitoring period. If so, issue a warning; if not, control the ventilator operating status.

[0060] In a preferred embodiment of the present invention, the specific method of determining whether the target ventilator has an abnormal equipment state during the current monitoring period is as follows: extract the tidal volume compliance index, air pressure compliance index and human-machine synchronization index of the target ventilator during the current monitoring period, and sum them according to the weights to obtain the equipment operation quality index of the target ventilator during the current monitoring period.

[0061] Exemplarily, the weights corresponding to the tidal volume compliance index, the air pressure compliance index, and the human-machine synchronization index of the target ventilator in the current monitoring period are 0.3, 0.4, and 0.3, respectively.

[0062] The equipment operation quality index of the target ventilator in the current monitoring period is compared with the preset equipment operation quality index threshold. If the equipment operation quality index of the target ventilator in the current monitoring period is greater than or equal to the equipment operation quality index threshold, it is judged that the target ventilator does not have an equipment abnormal state in the current monitoring period. Otherwise, it is judged that the target ventilator has an equipment abnormal state in the current monitoring period.

[0063] Exemplarily, the equipment operation quality index threshold is 0.85.

[0064] S6. Ventilator operating status control: Based on the target patient's breathing quality during the current monitoring period and the target ventilator's operating quality during the current monitoring period, the specific control direction within the current monitoring period is identified, and the control direction includes respiratory parameter regulation and equipment operation and maintenance, and then the ventilator operating status is controlled at the adjustment time corresponding to the current monitoring period.

[0065] In a preferred embodiment of the present invention, please refer to Figure 3As shown, the method of identifying the specific control direction in the current monitoring period is as follows: extract the judgment result of whether the breathing state of the target patient is abnormal in the current monitoring period and the judgment result of whether the target ventilator is in an abnormal device state, and then analyze them.

[0066] If the target patient's respiratory state is abnormal, the specific control direction is identified as respiratory parameter regulation.

[0067] If the target ventilator is in an abnormal state, identify the specific control direction as equipment operation and maintenance.

[0068] It should be noted that the specific control direction may be one or both of respiratory parameter regulation and equipment operation and maintenance.

[0069] It should be noted that the present invention analyzes the patient's respiratory state and the ventilator's operating state when controlling the ventilator's operating state, and then identifies the specific control direction. This analysis method can accurately control the respiratory parameters, achieve personalized treatment, improve comfort and compliance, and ensure the accuracy of oxygenation and ventilation. At the same time, it can monitor the performance of ventilator components, warn of faults in advance, reduce sudden faults, ensure safety, and enable the equipment to operate in the best state, reduce wear, extend life, and optimize resource allocation.

[0070] See also Figure 2 As shown, the second aspect of the present invention provides a high-precision control system for a ventilator device, including a monitoring period division module, a target patient breathing process analysis module, a target patient breathing state abnormality identification module, a target ventilator operating state analysis module, a ventilator operating state abnormality identification module and a ventilator operating state control module, wherein the monitoring period division module is respectively connected to the target patient breathing process analysis module and the target ventilator operating state analysis module, the target patient breathing process analysis module is connected to the target patient breathing state abnormality identification module, the target ventilator operating state analysis module is connected to the ventilator operating state abnormality identification module, and the target patient breathing state abnormality identification module and the ventilator operating state abnormality identification module are both connected to the ventilator operating state control module.

[0071] The monitoring period division module is used to start the target ventilator of the target patient, divide the operation process of the target ventilator into monitoring periods based on the preset equal interval time, and use the end time of each monitoring period as the adjustment time of the corresponding monitoring period.

[0072] The target patient breathing process analysis module is used to monitor the target patient's breathing process during the current monitoring period and analyze the target patient's breathing quality during the current monitoring period, wherein the breathing quality specifically includes the breathing rate evaluation and the tidal volume evaluation.

[0073] The target patient's respiratory state abnormality identification module is used to determine whether the target patient's respiratory state in the current monitoring period is abnormal based on the target patient's respiratory quality in the current monitoring period, and if so, perform target ventilator operation state analysis.

[0074] The target ventilator operation status analysis module is used to monitor the quality of the target ventilator and analyze the operation quality of the target ventilator in the current monitoring period. The operation quality includes tidal volume compliance, air pressure compliance and human-machine synchronization.

[0075] The ventilator operation status abnormality identification module is used to determine whether the target ventilator has an equipment abnormality during the current monitoring period based on the operation quality of the target ventilator during the current monitoring period. If so, an early warning is issued; if not, the ventilator operation status is controlled.

[0076] The ventilator operation status control module is used to identify the specific control direction within the current monitoring period based on the breathing quality of the target patient during the current monitoring period and the operation quality of the target ventilator during the current monitoring period. The control direction includes breathing parameter regulation and equipment operation and maintenance, and then performs ventilator operation status control at the adjustment time corresponding to the current monitoring period.

[0077] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A high-precision control method for a ventilator device, characterized in that: include: S1. Monitoring period division: start the target ventilator of the target patient, divide the operation process of the target ventilator into monitoring periods based on the preset equal interval duration, and use the end time of each monitoring period as the adjustment time of the corresponding monitoring period; S2. Analysis of the target patient's breathing process: monitoring the target patient's breathing process during the current monitoring period, and analyzing the target patient's breathing quality during the current monitoring period, wherein the breathing quality specifically includes the evaluation of the breathing rate and the evaluation of the tidal volume; S3. Identification of abnormal respiratory status of target patient: judging whether the respiratory status of target patient in the current monitoring period is abnormal based on the respiratory quality of target patient in the current monitoring period, and if so, analyzing the operating status of target ventilator; S4. Target ventilator operation status analysis: Perform quality monitoring on the target ventilator and analyze the operation quality of the target ventilator during the current monitoring period, wherein the operation quality includes tidal volume compliance, air pressure compliance, and human-machine synchronization; S5. Identification of abnormal ventilator operation status: Based on the operation quality of the target ventilator in the current monitoring period, determine whether the target ventilator has an abnormal device status during the current monitoring period. If so, issue an early warning; if not, control the ventilator operation status; S6. Ventilator operating status control: Based on the target patient's breathing quality during the current monitoring period and the target ventilator's operating quality during the current monitoring period, the specific control direction within the current monitoring period is identified, and the control direction includes respiratory parameter regulation and equipment operation and maintenance, and then the ventilator operating status is controlled at the adjustment time corresponding to the current monitoring period.

2. A high-precision control method for a ventilator device as claimed in claim 1, characterized in that: The analysis of the respiratory rate evaluation situation requires constructing a respiratory rate evaluation index of the target patient in the current monitoring period, and the specific method is as follows: The respiratory volume of the target patient in the current monitoring period is obtained by using a respiratory flow sensor, and then a respiratory volume change curve of the target patient in the current monitoring period is drawn with time as the horizontal coordinate and respiratory volume as the vertical coordinate, and the position of each peak in the curve is located, and then the horizontal coordinate corresponding to each peak position is marked as each monitored respiratory peak moment; The difference between each adjacent monitoring peak moment is calculated to obtain the monitoring duration corresponding to each breathing operation of the target patient in the current monitoring period, and then the monitoring frequency corresponding to each breathing operation of the target patient in the current monitoring period is obtained, which is recorded as f i , where i represents the number of the target patient's breathing operation in the current monitoring period, i=1,2...I,I represents the number of the target patient's breathing operation in the current monitoring period; Using the formula The respiratory rate evaluation index RREi of the target patient in the current monitoring period is analyzed and obtained, wherein Δf0 represents the preset allowable respiratory rate difference.

3. A high-precision control method for a ventilator device as claimed in claim 2, characterized in that: The analysis of the tidal volume evaluation situation requires the construction of a tidal volume evaluation index of the target patient in the current monitoring period, and the specific analysis method is as follows: The respiratory flow sensor is used to obtain the tidal volume corresponding to each respiratory operation of the target patient in the current monitoring period, and then the average tidal volume of the target patient in the current detection period is obtained by performing mean calculation; Grouping adjacent breathing operations of the target patient in the current monitoring period to obtain a number of breathing operation control groups, and then comparing the tidal volumes corresponding to the breathing operations in each breathing control group to obtain the tidal volume change degree corresponding to each breathing operation control group of the target patient in the current monitoring period; The tidal volume variation corresponding to each breathing operation control group is compared with the preset permissible tidal volume variation threshold. If the tidal volume variation corresponding to a breathing operation control group is greater than the permissible tidal volume variation threshold, the breathing operation control group is recorded as an abnormal breathing operation control group. The number of the target patient's breathing operation control group and the number of the abnormal breathing operation control group in the current monitoring period are obtained by statistics, and then the tidal volume evaluation index of the target patient in the current monitoring period is obtained by ratio calculation.

4. A high-precision control method for a ventilator device as claimed in claim 3, characterized in that: The specific method of determining whether the target patient's respiratory state is abnormal during the current monitoring period is as follows: Extracting the respiratory rate evaluation index and tidal volume evaluation index of the target patient in the current monitoring period, and then comparing them with the preset respiratory rate evaluation index threshold and tidal volume evaluation index threshold respectively; If the respiratory rate evaluation index of the target patient during the current monitoring period is less than the respiratory rate evaluation index threshold or the tidal volume evaluation index is less than the tidal volume evaluation index threshold, it is judged that the respiratory state of the target patient during the current monitoring period is abnormal; otherwise, it is judged that the respiratory state of the target patient during the current monitoring period is not abnormal.

5. A high-precision control method for a ventilator device as claimed in claim 1, characterized in that: The analysis of the tidal volume compliance situation requires the construction of the tidal volume compliance index of the target ventilator in the current monitoring period, and the specific analysis method is as follows: Using a respiratory flow sensor to collect the actual tidal volume of the target ventilator during the current monitoring period, extracting the displayed tidal volume of the target ventilator during the current monitoring period; The tidal volume deviation of the target ventilator in the current monitoring period is obtained by calculating the difference between the displayed tidal volume and the actual tidal volume of the target ventilator in the current monitoring period, and then the tidal volume deviation degree of the target ventilator in the current monitoring period is obtained by calculating the ratio of the absolute value of the tidal volume deviation of the target ventilator in the current monitoring period to the displayed tidal volume, and then the tidal volume compliance index of the target ventilator in the current monitoring period is obtained.

6. A high-precision control method for a ventilator device as claimed in claim 5, characterized in that: The analysis of the air pressure compliance situation requires constructing the air pressure compliance index of the target ventilator in the current monitoring period, and the specific analysis method is as follows: The air pressure of the target ventilator in the current monitoring period is obtained by using an air pressure sensor, and then a pressure change curve of the target ventilator in the current monitoring period is drawn with time as the horizontal axis and air pressure as the vertical axis; Based on the equal interval distance, the pressure change curve of the target ventilator in the current monitoring period is evenly distributed to obtain a number of pressure monitoring points, the vertical coordinate corresponding to each pressure monitoring point is marked as the monitoring pressure, and the monitoring pressure corresponding to each pressure monitoring point is averaged to obtain the average pressure of the target ventilator in the current monitoring period; The difference between the monitored air pressure corresponding to each air pressure monitoring point and the average air pressure is calculated to obtain the air pressure difference of each air pressure monitoring point. Then, the absolute value of the air pressure difference of each air pressure monitoring point is calculated to be ratioed with the average air pressure to obtain the air pressure deviation of each air pressure monitoring point. Then, the average is calculated to obtain the air pressure fluctuation index of the target ventilator in the current monitoring period, and the air pressure compliance index of the target ventilator in the current monitoring period is obtained by analysis.

7. A high-precision control method for a ventilator device as claimed in claim 6, characterized in that: The analysis of the human-machine synchronization situation requires constructing the human-machine synchronization index of the target ventilator in the current monitoring period, and the specific analysis method is as follows: Obtain the breathing valve opening time corresponding to each breathing operation of the target ventilator during the current monitoring period and the breathing time of the corresponding target patient; The breathing valve opening time corresponding to each breathing operation of the target ventilator in the current monitoring period and the breathing time of the corresponding target patient are calculated by difference, and then the absolute value is taken to obtain the breathing valve response time of the target ventilator in the current monitoring period, and then the average breathing valve response time of the target ventilator in the current monitoring period is calculated; The average breathing valve response time of the target ventilator in the current monitoring period is compared with the preset reference response time to obtain the human-machine synchronization index of the target ventilator in the current monitoring period.

8. A high-precision control method for a ventilator device as claimed in claim 7, characterized in that: The specific method of determining whether the target ventilator is in an abnormal state during the current monitoring period is as follows: Extract the tidal volume compliance index, air pressure compliance index and human-machine synchronization index of the target ventilator in the current monitoring period, and sum them according to the weights to obtain the equipment operation quality index of the target ventilator in the current monitoring period; The equipment operation quality index of the target ventilator in the current monitoring period is compared with the preset equipment operation quality index threshold. If the equipment operation quality index of the target ventilator in the current monitoring period is greater than or equal to the equipment operation quality index threshold, it is judged that the target ventilator does not have an equipment abnormal state in the current monitoring period. Otherwise, it is judged that the target ventilator has an equipment abnormal state in the current monitoring period.

9. A high-precision control method for a ventilator device as claimed in claim 1, characterized in that: The method of identifying the specific control direction within the current monitoring period is as follows: Extract the judgment result of whether the target patient's breathing state is abnormal during the current monitoring period and the judgment result of whether the target ventilator has an abnormal device state, and then analyze them; If the target patient's respiratory state is abnormal, the specific control direction is identified as respiratory parameter regulation; If the target ventilator is in an abnormal state, identify the specific control direction as equipment operation and maintenance.

10. A high-precision control system for a ventilator, characterized in that: include: A monitoring period division module is used to start the target ventilator of the target patient, divide the operation process of the target ventilator into monitoring periods based on the preset equal interval duration, and use the end time of each monitoring period as the adjustment time of the corresponding monitoring period; The target patient's breathing process analysis module is used to monitor the target patient's breathing process during the current monitoring period and analyze the target patient's breathing quality during the current monitoring period, wherein the breathing quality specifically includes the evaluation of the breathing rate and the evaluation of the tidal volume; The target patient's respiratory state abnormality identification module is used to determine whether the target patient's respiratory state in the current monitoring period is abnormal based on the target patient's respiratory quality in the current monitoring period, and if so, to analyze the target ventilator operation state; The target ventilator operation status analysis module is used to monitor the quality of the target ventilator and analyze the operation quality of the target ventilator during the current monitoring period, wherein the operation quality includes the compliance of tidal volume, air pressure and human-machine synchronization; The ventilator operation status abnormality identification module is used to determine whether the target ventilator has an abnormal device state during the current monitoring period based on the operation quality of the target ventilator during the current monitoring period, and to issue an early warning if it does, and to control the ventilator operation status if it does not; The ventilator operation status control module is used to identify the specific control direction within the current monitoring period based on the breathing quality of the target patient during the current monitoring period and the operation quality of the target ventilator during the current monitoring period. The control direction includes breathing parameter regulation and equipment operation and maintenance, and then the ventilator operation status is controlled at the adjustment time corresponding to the current monitoring period.

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