Intensive care unit auxiliary breathing equipment and method

Abstract

The invention provides an intensive care unit assisted breathing device and method, and the method comprises the steps: monitoring the humidity value of each monitoring node in real time, and determining the change characteristics of the humidity of each monitoring node affected by airflow pressure based on the humidity information of each monitoring node in an assisted breathing pipeline under different airflow pressure conditions; determining a plurality of node association units by combining each change feature with the spatial position relationship among the monitoring nodes, and extracting a humidity sensitive area in the auxiliary breathing pipeline based on all the node association units; according to the humidity loss at each monitoring node in the working process of the auxiliary breathing pipeline, determining a constraint control quantity when the auxiliary breathing pipeline performs humidity constraint adjustment in combination with the current humidity value at each monitoring node in the humidity sensitive area; and performing constraint control on steam output of the humidifier in the auxiliary breathing pipeline based on the constraint control quantity. According to the scheme, based on the constraint control quantity, the regulation and control precision of the ventilation humidity in the auxiliary breathing pipeline can be improved under the influence of airflow pressure.

Description

Technical Field

[0001] This application relates to the field of biomedical engineering technology. More specifically, this application relates to an auxiliary breathing device and method for an intensive care unit. Background Art

[0002] With the development of biomedical engineering, the practical application of biomedical devices has become more and more mature. From the application of medical sensors to the application of large medical imaging devices, through the application of biomedical engineering devices, human physiological signals and structural information can be accurately captured, thereby effectively improving the efficiency and quality of medical services. Therefore, the precise control of biomedical devices has become an important part of promoting the continuous development of biomedical engineering; In the control of existing biomedical devices, especially in the control of auxiliary breathing devices in the intensive care unit, the control of auxiliary breathing devices in the intensive care unit includes an invasive breathing control mode and a non-invasive breathing control mode. The invasive breathing control mode delivers gas precisely by presetting the tidal volume and airway pressure, while the non-invasive ventilator controls inhalation and exhalation through continuous positive airway pressure ventilation and bilevel positive airway pressure ventilation; however, in the control of auxiliary breathing devices in the intensive care unit, during the inhalation and exhalation processes of the auxiliary breathing pipeline, affected by the change of airflow pressure, the humidity distribution at different positions in the auxiliary breathing pipeline is uneven, and the effective humidity information in the auxiliary breathing pipeline cannot be extracted, resulting in a decrease in the regulation accuracy of the ventilation humidity in the auxiliary breathing pipeline. Therefore, how to improve the regulation accuracy of the ventilation humidity in the auxiliary breathing pipeline under the influence of airflow pressure has become a difficult problem faced by the industry. Summary of the Invention

[0003] This application provides an auxiliary breathing device and method for an intensive care unit, which can improve the regulation accuracy of the ventilation humidity in the auxiliary breathing pipeline under the influence of airflow pressure.

[0004] In a first aspect, this application provides a humidity control method for an auxiliary breathing pipeline, which is used for a humidity control of an auxiliary breathing device. The auxiliary breathing device includes: an auxiliary breathing pipeline and a humidifier. The method includes: Setting a plurality of monitoring nodes in the inner wall area of the auxiliary breathing pipeline and monitoring the humidity values at each monitoring node in real time; Determining the change characteristics of the humidity at each monitoring node affected by the airflow pressure based on the humidity information of each monitoring node in the auxiliary breathing pipeline under different airflow pressure conditions; Performing correlation analysis on all the monitoring nodes through the change characteristics of the humidity at each monitoring node affected by the airflow pressure combined with the spatial position relationship between each monitoring node to obtain a plurality of node correlation units during the ventilation process of the auxiliary breathing pipeline, and constructing a humidity sensitive area during the ventilation process of the auxiliary breathing pipeline based on all the node correlation units; Determine the humidity loss at each monitoring node during the operation of the auxiliary breathing pipeline, and determine the constraint control quantity for humidity constraint adjustment of the auxiliary breathing pipeline according to all the humidity losses in combination with the current humidity values at each monitoring node in the humidity-sensitive area; Based on the constraint control quantity, perform constraint control on the steam output of the humidifier in the auxiliary breathing pipeline.

[0005] In some embodiments, determining the change characteristics of the humidity at each monitoring node affected by the air flow pressure based on the humidity information of each monitoring node in the auxiliary breathing pipeline under different air flow pressure conditions specifically includes: Extract the humidity information of each monitoring node in the auxiliary breathing pipeline under different air flow pressure conditions; Select a monitoring node as the selected monitoring node, pair the humidity information of the selected monitoring node with the corresponding air flow pressure to obtain the humidity-air flow pressure data corresponding to the selected monitoring node; Arrange each humidity-air flow pressure in the humidity-air flow pressure data in ascending order according to the magnitude of the air flow pressure to obtain a humidity-air flow pressure sequence; Perform a first-order difference on the humidity values in the humidity-air flow pressure sequence in order to obtain all the humidity difference values, and determine the change characteristics of the humidity at the selected monitoring node affected by the air flow pressure according to all the humidity difference values; Continue to determine the change characteristics of the humidity at the remaining monitoring nodes affected by the air flow pressure.

[0006] In some embodiments, extracting the humidity information of each monitoring node in the auxiliary breathing pipeline under different air flow pressure conditions specifically includes: Install an air flow pressure sensor and a humidity sensor at each monitoring node of the auxiliary breathing pipeline, and collect the air flow pressure and humidity value at each monitoring node in real time; Synchronously record the collected air flow pressure and the humidity value at the corresponding time, and establish an association relationship database between the air flow pressure and the humidity value; Extract the humidity information of each monitoring node in the auxiliary breathing pipeline under different air flow pressure conditions from the association relationship database.

[0007] In some embodiments, performing correlation analysis on all the monitoring nodes through the change characteristics of the humidity at each monitoring node affected by the air flow pressure in combination with the spatial position relationship between the monitoring nodes to obtain multiple node association units during the ventilation process of the auxiliary breathing pipeline specifically includes: Obtain the change characteristics of each monitoring node, and construct a change characteristic matrix with the monitoring nodes as nodes; Obtain the spatial position information of each monitoring node, and construct a spatial distance matrix with the monitoring nodes as nodes; Determine the change feature similarity between each monitoring node in the change feature matrix; Determine the distance similarity between each monitoring node in the spatial distance matrix; Calculate the similarity index between each monitoring node based on all the change feature similarities and all the distance similarities; Based on the similarity index between each monitoring node, divide multiple node association units during the ventilation process of the auxiliary breathing pipeline from all the monitoring nodes.

[0008] In some embodiments, constructing the humidity-sensitive area of the auxiliary breathing pipeline during the ventilation process based on all the node association units specifically includes: Determine the spatial distribution range of each node association unit; Perform statistical analysis on all the change features in each node association unit to obtain the humidity sensitivity index of each node association unit; Set a humidity sensitivity threshold, and extract the node association units with humidity sensitivity indexes greater than the humidity sensitivity threshold from all the node association units; Determine the humidity-sensitive area of the auxiliary breathing pipeline during the ventilation process according to the spatial distribution range corresponding to the extracted node association units.

[0009] In some embodiments, determining the humidity loss at each monitoring node during the working process of the auxiliary breathing pipeline specifically includes: Obtain the initial humidity value at each monitoring node when the auxiliary breathing pipeline is not working; Obtain the historical humidity data at each monitoring node during the working process of the auxiliary breathing pipeline; Determine the humidity characteristic parameters at each monitoring node according to the historical humidity data at each monitoring node; Determine the humidity loss at each monitoring node during the working process of the auxiliary breathing pipeline through the humidity characteristic parameters and the initial humidity value at each monitoring node.

[0010] In some embodiments, the auxiliary breathing pipeline is a breathing component in an auxiliary breathing device in an intensive care unit.

[0011] In a second aspect, the present application provides an intensive care unit auxiliary breathing device, which includes an auxiliary breathing pipeline, a humidifier, and a pipeline humidity control unit. The pipeline humidity control unit includes: A monitoring module, configured to set multiple monitoring nodes in the inner wall area of the auxiliary breathing pipeline and monitor the humidity values at each monitoring node in real time; A processing module, configured to determine, based on the humidity information of each monitoring node in the auxiliary breathing pipeline under different air flow pressure conditions, the change characteristics of the humidity affected by the air flow pressure at each monitoring node; The processing module is further configured to perform correlation analysis on all the monitoring nodes by combining the change characteristics of the humidity affected by the air flow pressure at each monitoring node with the spatial position relationship between the monitoring nodes, obtain a plurality of node correlation units of the auxiliary breathing pipeline during ventilation, and construct a humidity sensitive area of the auxiliary breathing pipeline during ventilation based on all the node correlation units; The processing module is further configured to determine the humidity loss at each monitoring node during the operation of the auxiliary breathing pipeline, and determine the constraint control amount for humidity constraint adjustment of the auxiliary breathing pipeline according to all the humidity losses and the current humidity values at each monitoring node in the humidity sensitive area; An execution module, configured to perform constraint control on the steam output of the humidifier in the auxiliary breathing pipeline based on the constraint control amount.

[0012] In a third aspect, the present application provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the above humidity control method for the auxiliary breathing pipeline.

[0013] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above humidity control method for the auxiliary breathing pipeline is implemented.

[0014] The technical solutions provided by the embodiments disclosed in the present application have the following beneficial effects: In the intensive care unit auxiliary respiration equipment and method provided by the present application, first, a plurality of monitoring nodes are arranged in the inner wall area of the auxiliary respiration pipeline, and the humidity values at each monitoring node are monitored in real time; second, the variation characteristics of the humidity affected by the air flow pressure at each monitoring node are determined based on the humidity information of each monitoring node in the auxiliary respiration pipeline under different air flow pressure conditions; further, all the monitoring nodes are subjected to correlation analysis through the variation characteristics of the humidity affected by the air flow pressure at each monitoring node combined with the spatial position relationship between the monitoring nodes, and a plurality of node correlation units during the ventilation process of the auxiliary respiration pipeline are obtained, and a humidity sensitive area during the ventilation process of the auxiliary respiration pipeline is constructed based on all the node correlation units; then, the humidity loss at each monitoring node during the working process of the auxiliary respiration pipeline is determined, and the constraint control quantity during the humidity constraint adjustment of the auxiliary respiration pipeline is determined according to all the humidity losses combined with the humidity values at each monitoring node in the humidity sensitive area; finally, the steam output of the humidifier in the auxiliary respiration pipeline is subjected to constraint control based on the constraint control quantity.

[0015] It can be seen that the present application can improve the regulation accuracy of the ventilation humidity in the auxiliary respiration pipeline under the influence of the air flow pressure; first, determining the variation characteristics of the humidity affected by the air flow pressure at each monitoring node based on the humidity information of the monitoring node under different air flow pressure conditions is beneficial to deeply analyzing the influence of the air flow pressure change on the humidity in the auxiliary respiration pipeline. Especially during the process of accurately controlling the ventilation humidity in the respiration pipeline, these variation characteristics can be quantified to optimize the system design and control strategy, thereby avoiding the problem of uneven humidity distribution caused by the air flow pressure in the auxiliary respiration pipeline; second, determining a plurality of node correlation units during the ventilation process of the auxiliary respiration pipeline to identify the areas with similar humidity changes, thereby providing conditions for the extraction of effective humidity information in the auxiliary respiration pipeline; further, dividing a humidity sensitive area during the ventilation process of the auxiliary respiration pipeline from the inner wall area of the auxiliary respiration pipeline based on all the node correlation units to analyze the humidity level at the key positions of the auxiliary respiration pipeline and ensure the stable operation of the respiration pipeline system; then, determining the humidity loss at each monitoring node during the working process of the auxiliary respiration pipeline to analyze the control loss during the ventilation humidity control process of the auxiliary respiration pipeline and ensure effective ventilation moistening in the auxiliary respiration pipeline. The constraint control quantity during the humidity constraint adjustment of the auxiliary respiration pipeline is determined according to all the humidity losses combined with the current humidity values at each monitoring node in the humidity sensitive area, and then the output parameters of the humidifier in the auxiliary respiration pipeline are effectively adjusted. Finally, the steam output of the humidifier in the auxiliary respiration pipeline is subjected to constraint control based on the constraint control quantity; in summary, the technical solution provided by the present application can improve the regulation accuracy of the ventilation humidity in the auxiliary respiration pipeline under the influence of the air flow pressure. Description of the Drawings

[0016] Figure 1 is an exemplary flowchart of a humidity control method for an assisted breathing tube according to some embodiments of the present application; Figure 2 is an exemplary flowchart of determining a change characteristic according to some embodiments of the present application; Figure 3 is an exemplary flowchart of determining a humidity sensitive area according to some embodiments of the present application; Figure 4 is a schematic structural diagram of a pipeline humidity control unit according to some embodiments of the present application; Figure 5 is a schematic structural diagram of a computer device for implementing a humidity control method for an assisted breathing tube according to some embodiments of the present application. Detailed implementation manners

[0017] To better understand the technical solutions of the present application, the technical solutions of the present application will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0018] Refer to Figure 1 , which is an exemplary flowchart of a humidity control method for an assisted breathing tube according to some embodiments of the present application. The humidity control method 100 for the assisted breathing tube mainly includes the following steps: In step 101, a plurality of monitoring nodes are arranged in the inner wall area of the assisted breathing tube, and the humidity values at each monitoring node are monitored in real time.

[0019] It should be noted that in this embodiment, the assisted breathing tube is a breathing component in an assisted breathing device in an intensive care unit, and the assisted breathing tube provides breathing assistance for the user.

[0020] Specifically, when implemented, a plurality of monitoring nodes are arranged at preset intervals in the inner wall area of the assisted breathing tube, and the humidity values at each monitoring node are monitored in real time through humidity sensors. The humidity sensors are connected to a data acquisition module through an assisted breathing tube interface. Each humidity sensor collects the humidity data of the monitoring node where it is located in real time. Among them, the preset interval can be set according to actual needs and is not limited here.

[0021] In step 102, based on the humidity information of each monitoring node in the assisted breathing tube under different airflow pressure conditions, the change characteristics of the humidity at each monitoring node affected by the airflow pressure are determined.

[0022] In some embodiments, refer to Figure 2As shown, the figure is an exemplary flowchart for determining variable characteristics according to some embodiments of the present application. In this embodiment, the following steps can be used to determine the variable characteristics of the humidity at each monitoring node affected by the airflow pressure based on the humidity information of each monitoring node in the auxiliary breathing pipeline under different airflow pressure conditions: First, in step 1021, extract the humidity information of each monitoring node in the auxiliary breathing pipeline under different airflow pressure conditions; Secondly, in step 1022, select a monitoring node as the selected monitoring node, pair each humidity information of the selected monitoring node with the corresponding airflow pressure to obtain the humidity-airflow pressure data corresponding to the selected monitoring node; Further, in step 1023, arrange each humidity-airflow pressure in the humidity-airflow pressure data in ascending order according to the magnitude of the airflow pressure to obtain a humidity-airflow pressure sequence; Then, in step 1024, perform a first-order difference on the humidity values in the humidity-airflow pressure sequence in order to obtain all humidity difference values, and determine the variable characteristics of the humidity at the selected monitoring node affected by the airflow pressure based on all the humidity difference values; Finally, in step 1025, continue to determine the variable characteristics of the humidity at the remaining monitoring nodes affected by the airflow pressure.

[0023] Among them, in some embodiments, the following steps can be used to extract the humidity information of each monitoring node in the auxiliary breathing pipeline under different airflow pressure conditions, that is: Install an airflow pressure sensor and a humidity sensor at each monitoring node of the auxiliary breathing pipeline, and collect the airflow pressure and humidity values at each monitoring node in real time; Synchronously record the collected airflow pressure and the humidity value at the corresponding time, and establish a correlation relationship database between the airflow pressure and the humidity value; Extract the humidity information of each monitoring node in the auxiliary breathing pipeline under different airflow pressure conditions from the correlation relationship database.

[0024] In specific implementation, first, an air flow pressure sensor and a humidity sensor are installed at each monitoring node of the auxiliary breathing pipeline, and the air flow pressure and humidity value at each monitoring node are respectively collected through the air flow pressure sensor and the humidity sensor, where the air flow pressure represents the action amount of the gas on the container wall during the flow process; then, the humidity value at each monitoring node is collected in real time through the humidity sensor, and the collected air flow pressure and the humidity value at the corresponding time are synchronously recorded to form an associated relationship database containing the air flow pressure value and the humidity value; finally, the humidity information of each monitoring node in the auxiliary breathing pipeline under different air flow pressure conditions is extracted from the associated relationship database, that is, one air flow pressure corresponds to one humidity value, and the humidity information is characterized by the humidity value.

[0025] It should be noted that in this embodiment, the associated relationship database represents a data structure for storing the associated relationship between the humidity value and the air flow pressure. The associated relationship database provides storage, query, and retrieval of the air flow pressure and the humidity value; in this embodiment, the air flow pressure represents the action information of the gas on the container wall during the flow process. In the auxiliary breathing pipeline, the humidity value is usually closely related to the air flow pressure. When the user inhales, the air flow pressure decreases and the humidity decreases. When the user exhales, the humidity increases. Therefore, the change in the air flow pressure will cause the humidity in the auxiliary breathing pipeline to change. Therefore, by monitoring the humidity information of each monitoring node in the auxiliary breathing pipeline under different air flow pressure conditions, the influence characteristics of the air flow on the humidity can be captured, and then the interference effect of the humidity change on the air flow transmission characteristics of the auxiliary breathing pipeline can be analyzed.

[0026] In specific implementation, first, extract the humidity information of each monitoring node in the auxiliary breathing pipeline under different air flow pressure conditions. Secondly, select a monitoring node as the selected monitoring node, and synchronously pair each air flow pressure of the selected monitoring node with the corresponding humidity value to obtain the humidity-air flow pressure data corresponding to the selected monitoring node. The humidity value-air flow pressure data represents a set of multiple humidity value-air flow pressure parameters. Specifically, the humidity value-air flow pressure data is a data combination obtained by matching the humidity value with the corresponding air flow pressure under different air flow pressure conditions. Secondly, arrange each humidity-air flow pressure in the humidity-air flow pressure data in ascending order according to the magnitude of the air flow pressure to obtain a humidity-air flow pressure sequence. Further, perform a first-order difference on the humidity values in the humidity-air flow pressure sequence in order to obtain all humidity difference values, and determine the change characteristics of the humidity affected by the air flow pressure at the selected monitoring node, that is: perform a first-order difference on the humidity values in the humidity-air flow pressure sequence in order to obtain all humidity difference values, calculate the mean value of all humidity difference values, and use the mean value calculation result as the change characteristics of the humidity affected by the air flow pressure at the selected monitoring node. In addition, in other embodiments, other calculation methods may also be used to calculate the change characteristics of the humidity affected by the air flow pressure at the selected monitoring node, which is not limited here. Finally, continue to determine the change characteristics of the humidity affected by the air flow pressure at the remaining monitoring nodes through the determination method of "determining the change characteristics of the humidity affected by the air flow pressure at the selected monitoring node based on all humidity difference values".

[0027] It should be noted that in this embodiment, the humidity-air flow pressure sequence represents the arranged humidity-air flow pressure data. Specifically, the humidity-air flow pressure sequence is the data obtained by arranging all humidity-air flow pressure parameters according to the magnitude of the air flow pressure. In this embodiment, the first-order difference represents the calculation process of subtracting the previous value from the current value, which will not be elaborated here. In this embodiment, the humidity difference value represents the difference between different humidity values. In this application, the change characteristics represent the change characteristics of the humidity after being affected by the air flow pressure. The change characteristics describe the degree of change of the humidity under the influence of the air flow pressure, and reflect the instantaneous response, stability, and fluctuation characteristics of the change of the air flow pressure on the humidity. By determining the change characteristics, it is beneficial to deeply analyze the humidity change situation in the auxiliary breathing pipeline, thereby providing favorable conditions for precise humidity control of the breathing tube.

[0028] In step 103, perform correlation analysis on all monitoring nodes by combining the change characteristics of the humidity affected by the air flow pressure at each monitoring node with the spatial position relationship between each monitoring node to obtain multiple node correlation units during the ventilation process of the auxiliary breathing pipeline, and construct the humidity sensitive area during the ventilation process of the auxiliary breathing pipeline based on all node correlation units.

[0029] In some embodiments, the correlation analysis of all the monitoring nodes is performed by combining the change characteristics of humidity affected by air flow pressure at each of the monitoring nodes with the spatial position relationship between the monitoring nodes. The realization of multiple node association units in the auxiliary breathing pipeline during ventilation can be achieved by the following steps, namely: Obtain the change characteristics of each monitoring node and construct a change characteristic matrix with the monitoring nodes as nodes; Obtain the spatial position information of each monitoring node and construct a spatial distance matrix with the monitoring nodes as nodes; Determine the change characteristic similarity between each monitoring node in the change characteristic matrix; Determine the distance similarity between each monitoring node in the spatial distance matrix; Calculate the similarity index between each monitoring node based on all the change characteristic similarities and all the distance similarities; Based on the similarity index between each monitoring node, divide multiple node association units in the auxiliary breathing pipeline during ventilation from all the monitoring nodes.

[0030] In specific implementation, first, obtain the change characteristics of each monitoring node, and arrange the corresponding change characteristics in a matrix in the order of the spatial positions of the monitoring nodes, that is, arrange each change characteristic as a matrix element column by column to obtain a change characteristic matrix with the monitoring nodes as nodes; second, obtain the spatial position information of each monitoring node, where the spatial position information is the position coordinates of the monitoring node, and arrange the position coordinates in the corresponding spatial position information in a matrix in the order of the spatial positions of the monitoring nodes, that is, arrange each position coordinate as a matrix element column by column to obtain a spatial distance matrix with the monitoring nodes as nodes; further, calculate the change characteristic similarity between each monitoring node in the change characteristic matrix through cosine similarity. In addition, Euclidean distance calculation can also be used to calculate the change characteristic similarity between each monitoring node. Among them, one change characteristic corresponds to one monitoring node, and the similarity between change characteristics is the change characteristic similarity between monitoring nodes; furthermore, calculate the distance similarity between each monitoring node in the spatial distance matrix through Euclidean distance. Among them, one change characteristic corresponds to one monitoring node, and the similarity between spatial positions is the distance similarity between monitoring nodes; calculate the similarity index between each monitoring node based on all the change characteristic similarities and all the distance similarities, that is: perform normalization processing on all the change characteristic similarities and all the distance similarities respectively, use each normalized distance similarity as the weight value corresponding to the change characteristic similarity, then perform multiplication calculation on the weight value and the corresponding normalized change characteristic similarity, and use the multiplication calculation result as the similarity index between the monitoring nodes corresponding to the change characteristic similarity, thereby obtaining the similarity index between each monitoring node. Among them, one distance similarity corresponds to a pair of monitoring nodes, one change characteristic similarity corresponds to a pair of monitoring nodes, and the same pair of monitoring nodes corresponds to a distance similarity and a change characteristic similarity; finally, based on the similarity index between each monitoring node, use the DBSCAN algorithm in the density clustering algorithm to cluster all the monitoring nodes to obtain multiple node association units of the auxiliary breathing pipeline during ventilation.

[0031] It should be noted that in this embodiment, the change feature matrix represents a matrix structure constructed from the change features of multiple monitoring nodes, that is, a matrix obtained by organizing the change features at each monitoring node in the order of the spatial positions of the monitoring nodes. By determining the change feature matrix, the correlation and similarity between the change features can be effectively analyzed and processed; in this embodiment, the spatial distance matrix represents a matrix structure constructed from the spatial positions of multiple monitoring nodes, and each element of this spatial distance matrix reflects the spatial distance between two monitoring nodes; in this embodiment, the change feature similarity represents a similarity index of different change features; in this embodiment, the distance similarity represents a similarity index of the spatial positions of different monitoring nodes, and the distance similarity reflects the degree of proximity of the relative positions of two monitoring nodes; in this application, the node association unit represents a combination of multiple associated monitoring nodes, and each node association unit represents a group of monitoring nodes with similar characteristics. The node association unit reflects the similarity relationship of the humidity change characteristics of each monitoring node in the auxiliary breathing pipeline. By determining the node association unit, the areas that are more sensitive to humidity changes can be combined.

[0032] In some embodiments, referring to Figure 3 as shown, this figure is an exemplary flowchart for determining the humidity-sensitive area according to some embodiments of the present application. In this embodiment, the humidity-sensitive area of the auxiliary breathing pipeline during ventilation can be constructed based on all the node association units by the following steps: First, in step 1031, determine the spatial distribution range of each node association unit; Secondly, in step 1032, perform statistical analysis on all the change features in each node association unit to obtain the humidity sensitivity index of each node association unit; Then, in step 1033, set a humidity sensitivity threshold, and extract the node association units whose humidity sensitivity index is greater than the humidity sensitivity threshold from all the node association units; Finally, in step 1034, determine the humidity-sensitive area of the auxiliary breathing pipeline during ventilation according to the spatial distribution range corresponding to the extracted node association units.

[0033] In specific implementation, first, determine the spatial distribution range of each node association unit, that is: for each node association unit, according to the spatial position information of each monitoring node in the node association unit, construct the minimum bounding rectangle of the node association unit through the image processing tool OpenCV, and use the minimum bounding rectangle as the spatial distribution range of the node association unit, so as to obtain the spatial distribution ranges of each node association unit; secondly, perform statistical analysis on all change features in each node association unit to obtain the humidity sensitivity index of each node association unit, that is: for each node association unit, calculate the standard deviation of all change features in the node association unit, and use the standard deviation as the humidity sensitivity index of the node association unit, so as to obtain the humidity sensitivity index of each node association unit; then, set a humidity sensitivity threshold, and extract the node association units with humidity sensitivity indexes greater than the humidity sensitivity threshold from all node association units; finally, according to the spatial distribution ranges corresponding to the extracted node association units, use the K-means merging algorithm in the region merging algorithm to calibrate the humidity-sensitive area of the auxiliary breathing tube during ventilation. In addition, the boundary expansion algorithm in the region merging algorithm can also be used to calibrate the humidity-sensitive area of the inner wall area of the auxiliary breathing tube during ventilation.

[0034] It should be noted that in this embodiment, the spatial distribution range represents the position area occupied by the node association unit; in this embodiment, the humidity sensitivity index represents the sensitive degree of response to humidity. Specifically, the humidity sensitivity index is the sensitive degree of the area where the node association unit is located to the humidity response. The humidity sensitivity index is used to determine the influence of humidity on the performance of the auxiliary breathing tube during ventilation; in this application, the humidity-sensitive area represents the area in the auxiliary breathing tube that is more sensitive to humidity changes. Specifically, the humidity-sensitive area is the area that is more sensitive to humidity changes. The change of humidity in the auxiliary breathing tube will affect the user's breathing effect, thus affecting the user's breathing experience. During the auxiliary breathing process, humidity is crucial for the patient's breathing comfort. Usually, the breathing tube is tubular, and the humidity at different positions is inconsistent, making it impossible to accurately identify and control the humidity in the breathing tube. Therefore, by accurately identifying the humidity-sensitive area, it is possible to ensure that the tube provides an appropriate humidity level, ensure the stable operation of the breathing tube system, and thus reduce the discomfort of the user's respiratory tract.

[0035] In step 104, determine the humidity loss at each monitoring node during the operation of the auxiliary breathing tube, and determine the constraint control amount for humidity constraint adjustment of the auxiliary breathing tube according to all the humidity losses and the current humidity values at each monitoring node in the humidity-sensitive area.

[0036] In some embodiments, the humidity loss at each monitoring node during the operation of the auxiliary breathing pipeline can be determined by the following steps, namely: Obtain the initial humidity value at each monitoring node when the auxiliary breathing pipeline is not in operation; Obtain the historical humidity data at each monitoring node during the operation of the auxiliary breathing pipeline; Determine the humidity characteristic parameter at each monitoring node according to the historical humidity data at each monitoring node; Determine the humidity loss at each monitoring node during the operation of the auxiliary breathing pipeline through the humidity characteristic parameter and the initial humidity value at each monitoring node.

[0037] Specifically, first, obtain the initial humidity value at each monitoring node when the auxiliary breathing pipeline is not in operation through the humidity sensor at each monitoring node. The initial temperature value represents the humidity value collected when the auxiliary breathing pipeline is not in operation. Secondly, obtain the historical humidity data at each monitoring node during the operation of the auxiliary breathing pipeline from the auxiliary breathing monitoring database. Then, determine the humidity characteristic parameter at each monitoring node according to the historical humidity data at each monitoring node, that is: for each monitoring node, calculate the mean value of the historical humidity data of the monitoring node, and take the mean value calculation result as the humidity characteristic parameter at the monitoring node, so as to obtain the humidity characteristic parameter at each monitoring node. In addition, in other embodiments, other calculation methods can also be used to calculate the humidity characteristic parameter at each monitoring node, which is not limited here. Finally, determine the humidity loss at each monitoring node during the operation of the auxiliary breathing pipeline through the humidity characteristic parameter and the initial humidity value at each monitoring node, that is: for each monitoring node, calculate the absolute difference between the humidity characteristic parameter at the monitoring node and the initial humidity value, and take the absolute difference calculation result as the humidity loss at the monitoring node, so as to obtain the humidity loss at each monitoring node during the operation of the auxiliary breathing pipeline. In addition, in other embodiments, other calculation methods can also be used to calculate the humidity loss at each monitoring node, which is not limited here.

[0038] It should be noted that in this embodiment, the humidity characteristic parameter represents a quantitative index of the dynamic change of humidity. Specifically, the humidity characteristic is the trend value of humidity changing with time; in this application, the humidity loss represents a quantitative index of the reduction of humidity after being affected by influencing factors. The humidity loss reflects the degree of reduction of the water vapor content in the breathing pipeline during the humidity transmission process. The humidity loss can reflect the humidity transmission effect of the humidifier and the pipeline. By determining the humidity loss, the steam output of the humidifier can be adjusted to compensate for the humidity deficiency, which is beneficial to stabilizing the humidity of the air flow.

[0039] In some embodiments, determining the constraint control amount during humidity constraint adjustment of the auxiliary breathing tube according to all humidity losses in combination with the current humidity values at each monitoring node in the humidity-sensitive area can be achieved by the following steps, namely: Determine the humidity loss fluctuation amount during ventilation of the auxiliary breathing tube based on all humidity losses; Compensate for the losses of the current humidity values at each monitoring node in the humidity-sensitive area through the humidity loss fluctuation amount to obtain all humidity compensation values; Determine the constraint control amount during humidity constraint adjustment of the auxiliary breathing tube through all humidity compensation values and the preset ventilation humidity of the auxiliary breathing tube.

[0040] Specifically, when implementing, determine the humidity loss fluctuation amount during ventilation of the auxiliary breathing tube based on all humidity losses, that is: calculate the standard deviation of all humidity losses, and use the standard deviation calculation result as the humidity loss fluctuation amount during ventilation of the auxiliary breathing tube. In addition, in other embodiments, other calculation methods can also be used to calculate the humidity loss fluctuation amount during ventilation of the auxiliary breathing tube, which is not limited here. In this embodiment, the humidity loss fluctuation amount represents the fluctuation degree of the humidity loss of the auxiliary breathing tube.

[0041] Among them, in some embodiments, compensating for the losses of the current humidity values at each monitoring node in the humidity-sensitive area through the humidity loss fluctuation amount to obtain all humidity compensation values can be achieved by the following steps, namely: Construct a humidity compensation model during ventilation of the auxiliary breathing tube; Obtain the current humidity values at each monitoring node in the humidity-sensitive area; For each monitoring node in the humidity-sensitive area, use the current humidity value corresponding to the monitoring node and the humidity loss fluctuation amount as the input parameters of the humidity compensation model, and determine the humidity compensation values at each monitoring node in the humidity-sensitive area by the humidity compensation model, thereby obtaining all humidity compensation values.

[0042] Specifically, when implementing, first, construct a humidity compensation model during ventilation of the auxiliary breathing tube, that is, the humidity compensation model is: humidity compensation value = current humidity value + humidity loss fluctuation amount; then, obtain the current humidity values at each monitoring node in the humidity-sensitive area; finally, for each monitoring node in the humidity-sensitive area, use the current humidity value corresponding to the monitoring node and the humidity loss fluctuation amount as the input parameters of the humidity compensation model, and determine the humidity compensation values at each monitoring node in the humidity-sensitive area by the humidity compensation model, thereby obtaining all humidity compensation values.

[0043] It should be noted that in this embodiment, the humidity compensation model represents a function for humidity compensation. During the gas delivery process of the auxiliary breathing pipeline, the change in humidity will affect the pressure, flow rate, temperature, etc. of the air flow, making it impossible to adjust the humidity of the auxiliary breathing pipeline. Therefore, by compensating for the current humidity value, the humidity of the auxiliary breathing pipeline can be effectively adjusted; in this application, the humidity compensation value represents the humidity value after loss compensation.

[0044] Specifically, when implemented, the constraint control quantity for humidity constraint adjustment of the auxiliary breathing pipeline is determined by all the humidity compensation values and the preset ventilation humidity of the auxiliary breathing pipeline, that is: calculate the difference between the preset ventilation humidity value and each humidity compensation value to obtain multiple ventilation humidity deviations, calculate the average value of all ventilation humidity deviations, and use the average calculation result as the constraint control quantity for humidity constraint adjustment of the auxiliary breathing pipeline. In addition, in other embodiments, other calculation methods can also be used to calculate the constraint control quantity for humidity constraint adjustment of the auxiliary breathing pipeline, which is not limited here.

[0045] It should be noted that in this application, the constraint control quantity represents the quantity for restricting and adjusting the ventilation humidity of the auxiliary breathing pipeline. The larger the constraint control quantity, the greater the quantity for restricting and adjusting the ventilation humidity of the auxiliary breathing pipeline, and vice versa. Auxiliary breathing devices are usually equipped with various sensors to monitor ventilation parameters, such as pressure sensors, flow sensors, and humidity sensors, etc. The accuracy of these sensors depends to a certain extent on the ventilation parameters being within a reasonable range of the constraint control quantity. For example, when the gas humidity exceeds the designed working range of the sensor, it may affect the measurement accuracy of the humidity sensor, and then cause the device to be unable to correctly feedback and adjust the ventilation parameters. In addition, affected by the user's breathing rhythm, the air flow pressure in the breathing pipeline will also affect the control of the ventilation humidity. Therefore, by determining the constraint control quantity, the precise control of the ventilation humidity by the breathing pipeline can be ensured.

[0046] In step 105, the steam output of the humidifier in the auxiliary breathing pipeline is constrained and controlled based on the constraint control quantity.

[0047] Specifically, when implemented, the steam output of the humidifier in the auxiliary breathing pipeline is constrained and controlled based on the constraint control quantity, that is: when the constraint control quantity is greater than the control quantity threshold, increase the steam output of the humidifier in the auxiliary breathing pipeline to accelerate the humidity adjustment speed, and when the humidity control quantity is less than or equal to the preset control quantity threshold, keep the steam output of the humidifier in the auxiliary breathing pipeline.

[0048] It should be noted that in this embodiment, the control quantity threshold represents a preset standard constraint control quantity for the steam output of the humidifier in the auxiliary breathing pipeline, and can be specifically set according to actual needs.

[0049] In addition, on the other hand of the present application, in some embodiments, the present application provides an assisted breathing device for an intensive care unit, which device includes an assisted breathing pipeline, a humidifier, and a pipeline humidity control unit. Refer to Figure 4 , this figure is a schematic structural diagram of the pipeline humidity control unit shown in some embodiments of the present application. The pipeline humidity control unit 200 includes: a monitoring module 201, a processing module 202, and an execution module 203, which are described as follows: Monitoring module 201. In the present application, the monitoring module 201 is mainly used to set a plurality of monitoring nodes in the inner wall area of the assisted breathing pipeline and to monitor the humidity values at each monitoring node in real time; Processing module 202. In the present application, the processing module 202 is mainly used to determine the change characteristics of the humidity at each monitoring node affected by the air flow pressure based on the humidity information of each monitoring node in the assisted breathing pipeline under different air flow pressure conditions; The processing module 202 is further used to perform correlation analysis on all the monitoring nodes by combining the change characteristics of the humidity at each monitoring node affected by the air flow pressure with the spatial position relationship between each monitoring node, to obtain a plurality of node correlation units of the assisted breathing pipeline during ventilation, and to construct a humidity sensitive area of the assisted breathing pipeline during ventilation based on all the node correlation units; In addition, the processing module 202 is further used to determine the humidity loss at each monitoring node during the operation of the assisted breathing pipeline, and to determine the constraint control amount for humidity constraint adjustment of the assisted breathing pipeline according to all the humidity losses and the current humidity values at each monitoring node in the humidity sensitive area; Execution module 203. In the present application, the execution module 203 is mainly used to perform constraint control on the steam output of the humidifier in the assisted breathing pipeline based on the constraint control amount.

[0050] In addition, the present application also provides a computer device, which computer device includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the above-mentioned humidity control method for the assisted breathing pipeline.

[0051] In some embodiments, refer to Figure 5 , this figure is a schematic structural diagram of a computer device for implementing the humidity control method of the assisted breathing pipeline shown in some embodiments of the present application. The humidity control method of the assisted breathing pipeline in the above embodiments can be implemented by Figure 5 the computer device shown, which computer device 300 includes at least one processor 301, a communication bus 302, a memory 303, and at least one communication interface 304.

[0052] The processor 301 can be a general - purpose central processing unit (CPU), or an application - specific integrated circuit (ASIC), or one or more are used to control the execution of the humidity control method for the assisted breathing pipeline in this application.

[0053] The communication bus 302 can be used to transmit information between the above - mentioned components.

[0054] The memory 303 can be a read - only memory (ROM), or other types of static storage devices that can store static information and instructions, a random access memory (RAM), or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read - only memory (EEPROM), a compact disc read - only memory (CDROM), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu - ray discs, etc.), magnetic disks, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to this. The memory 303 can exist independently and be connected to the processor 301 through the communication bus 302. The memory 303 can also be integrated with the processor 301.

[0055] Among them, the memory 303 is used to store the program code for executing the solution of this application and is controlled by the processor 301 for execution. The processor 301 is used to execute the program code stored in the memory 303. The program code can include one or more software modules. The determination of the humidity control method for the assisted breathing pipeline in the above - mentioned embodiments can be implemented by one or more software modules in the program code of the processor 301 and the memory 303.

[0056] The communication interface 304, using any device such as a transceiver, is used to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0057] In a specific implementation, as an example, a computer device may include multiple processors, and each of these processors may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0058] The above computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a laptop computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of the present application do not limit the type of the computer device.

[0059] In addition, the present application also provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the humidity control method of the above auxiliary breathing pipeline is implemented.

[0060] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0061] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these changes and modifications.

Claims

1. A humidity control method for an auxiliary breathing circuit, used for humidity control of an auxiliary breathing device, wherein the auxiliary breathing device comprises an auxiliary breathing circuit and a humidifier, characterized in that: The method includes: A plurality of monitoring nodes are arranged in the inner wall area of ​​the auxiliary breathing circuit, and the humidity value at each monitoring node is monitored in real time; Determine the change characteristics of the humidity at each monitoring node affected by the airflow pressure based on the humidity information of each monitoring node in the auxiliary breathing circuit under different airflow pressure conditions; By combining the change characteristics of humidity at each monitoring node affected by airflow pressure with the spatial position relationship between the monitoring nodes, all monitoring nodes are correlated and analyzed to obtain multiple node correlation units of the auxiliary breathing circuit during the ventilation process, and based on all the node correlation units, the humidity sensitive area of ​​the auxiliary breathing circuit during the ventilation process is constructed; Determine the humidity loss at each monitoring node during the operation of the auxiliary breathing circuit, and determine the constraint control amount when the auxiliary breathing circuit performs humidity constraint adjustment according to all humidity losses combined with the current humidity value at each monitoring node in the humidity sensitive area; The steam output of the humidifier in the auxiliary breathing circuit is restricted and controlled based on the restriction control amount.

2. The method according to claim 1, characterized in that Determining the change characteristics of humidity at each monitoring node affected by airflow pressure based on the humidity information of each monitoring node in the auxiliary breathing circuit under different airflow pressure conditions specifically includes: Extracting humidity information of each monitoring node in the auxiliary breathing circuit under different airflow pressure conditions; Select a monitoring node as a selected monitoring node, pair each humidity information of the selected monitoring node with the corresponding airflow pressure, and obtain humidity-airflow pressure data corresponding to the selected monitoring node; Arrange each humidity-airflow pressure in the humidity-airflow pressure data in ascending order according to the magnitude of the airflow pressure to obtain a humidity-airflow pressure sequence; Performing first-order differences on the humidity values ​​in the humidity-airflow pressure sequence in order to obtain all humidity difference values, and determining the change characteristics of the humidity at the selected monitoring node affected by the airflow pressure according to all the humidity difference values; Continue to determine the changing characteristics of humidity at the remaining monitoring nodes affected by airflow pressure.

3. The method according to claim 2, characterized in that Extracting humidity information of each monitoring node in the auxiliary breathing circuit under different airflow pressure conditions specifically includes: Install an airflow pressure sensor and a humidity sensor at each monitoring node of the auxiliary breathing circuit, and collect the airflow pressure and humidity values ​​at each monitoring node in real time; The collected airflow pressure and the humidity value at the corresponding time are synchronously recorded to establish a database of the correlation relationship between the airflow pressure and the humidity value; The humidity information of each monitoring node in the auxiliary breathing circuit under different airflow pressure conditions is extracted from the association database.

4. The method according to claim 1, characterized in that Through the change characteristics of humidity at each monitoring node affected by airflow pressure combined with the spatial position relationship between each monitoring node, all monitoring nodes are correlated and analyzed to obtain multiple node correlation units of the auxiliary breathing circuit during ventilation, specifically including: Obtain the change characteristics of each monitoring node and construct a change characteristic matrix with the monitoring node as the node; Obtain the spatial location information of each monitoring node and construct a spatial distance matrix with the monitoring nodes as nodes; Determining the similarity of change characteristics between each monitoring node in the change characteristic matrix; Determining the distance similarity between each monitoring node in the spatial distance matrix; The similarity index between each monitoring node is calculated based on all the change feature similarities and all the distance similarities; Based on the similarity index between each monitoring node, multiple node association units of the auxiliary breathing circuit during the ventilation process are obtained from all the monitoring nodes.

5. The method according to claim 1, characterized in that The humidity sensitive area of ​​the auxiliary breathing circuit during ventilation is constructed based on all node association units and specifically includes: Determine the spatial distribution range of each node association unit; Performing statistical analysis on all the change characteristics in each node-associated unit to obtain a humidity sensitivity index of each node-associated unit; A humidity sensitivity threshold is set, and node-related units whose humidity sensitivity index is greater than the humidity sensitivity threshold are extracted from all node-related units; The humidity sensitive area of ​​the auxiliary breathing circuit during ventilation is determined according to the spatial distribution range corresponding to the extracted node association unit.

6. The method according to claim 1, characterized in that Determining the humidity loss at each monitoring node during the operation of the auxiliary breathing circuit specifically includes: Obtaining an initial humidity value at each monitoring node when the auxiliary breathing circuit is not working; Acquire historical humidity data at each monitoring node during the operation of the auxiliary breathing circuit; Determine the humidity characteristic parameter at each monitoring node according to the historical humidity data at each monitoring node; The humidity loss at each monitoring node during the operation of the auxiliary breathing circuit is determined by the humidity characteristic parameters and the initial humidity value at each monitoring node.

7. The method according to claim 1, characterized in that The auxiliary breathing circuit is a breathing component in an auxiliary breathing device in an intensive care unit.

8. An intensive care unit auxiliary breathing device, comprising an auxiliary breathing circuit, a humidifier and a circuit humidity control unit, characterized in that: The pipeline humidity control unit comprises: A monitoring module, used to set a plurality of monitoring nodes in the inner wall area of ​​the auxiliary breathing circuit, and monitor the humidity value at each monitoring node in real time; A processing module, configured to determine, based on humidity information of each monitoring node in the auxiliary breathing circuit under different airflow pressure conditions, a change characteristic of humidity at each monitoring node affected by airflow pressure; The processing module is further used to perform correlation analysis on all monitoring nodes by combining the change characteristics of humidity at each monitoring node affected by airflow pressure with the spatial position relationship between the monitoring nodes, to obtain multiple node correlation units of the auxiliary breathing circuit during the ventilation process, and to construct the humidity sensitive area of ​​the auxiliary breathing circuit during the ventilation process based on all the node correlation units; The processing module is further used to determine the humidity loss at each monitoring node during the operation of the auxiliary breathing circuit, and determine the constraint control amount when the auxiliary breathing circuit performs humidity constraint adjustment according to all humidity losses combined with the current humidity value at each monitoring node in the humidity sensitive area; An execution module is used to perform constraint control on the steam output of the humidifier in the auxiliary breathing circuit based on the constraint control amount.

9. A computer device, characterized in that: The computer device includes a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the humidity control method for an auxiliary breathing circuit according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the humidity control method for an auxiliary breathing circuit according to any one of claims 1 to 7 is implemented.

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