Intelligent negative pressure drainage system

Abstract

The invention discloses an intelligent negative pressure drainage system, and relates to the field of medical instruments, the intelligent negative pressure drainage system comprises a drainage module, a detection module, a cleaning module and a control module, the detection module detects pressure data in a drainage tube and a drainage liquid collector, flow data of drainage liquid and image data of the drainage liquid; the control module receives the image data in real time, judges the unit density of red blood cells in the drainage liquid, and gives an alarm to medical staff when the unit density is larger than a set threshold value; the storage module, the counting module and the display module are used for counting and displaying the red blood cell data in the drainage tube and the drainage liquid collector and the flow of the drainage liquid in real time; the control module receives the pressure data and the flow data in real time, judges whether the drainage tube is blocked or not and judges the position of a blockage object, and controls the cleaning head to reach the position of the blockage object for cleaning when blockage occurs. The operation condition of a drainage liquid system can be detected in real time, an alarm is given, postoperative possible bleeding is prompted, smooth drainage is guaranteed, and meanwhile rapid healing of a wound is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and more particularly to an intelligent negative pressure drainage system. Background Art

[0002] Drainage tubes are routinely placed after chest and abdominal organ surgery to monitor the properties of drainage fluid and detect postoperative bleeding in a timely manner. During the recovery process, there are often exudates, pus, blood and other fluids, which usually need to be drained through drainage devices to ensure that waste fluids are promptly discharged from the chest and abdominal cavity to avoid infection and maintain the local environment to promote wound healing.

[0003] Among them, the negative pressure drainage system uses a negative pressure pump and a catheter to create a negative pressure environment around the wound to help remove secretions from the wound, thereby reducing swelling at the wound, reducing the risk of infection, promoting blood circulation, and having a better effect of accelerating wound healing. However, the existing drainage system has few monitoring functions for the drainage fluid, and can only display the current drainage fluid flow, but cannot display the number of red blood cells in the current drainage fluid and the total amount of all drainage fluid and red blood cells, which is not conducive to medical staff to grasp the situation of the patient's wound exudate, especially when the patient has a large amount of exudate, it is necessary to be vigilant about postoperative hemorrhage, but the current drainage device cannot timely judge the properties of the drainage fluid, send an alarm to the medical staff, and remind the medical staff to take treatment and treatment measures, which poses a great risk to the patient's health; and in thoracic and abdominal surgery, the wound effusion is deep, and the catheter is partially located in the body, so it is impossible to directly observe whether the catheter is blocked, and it is impossible to deal with the blockage in the catheter in time, resulting in the inability to drain the effusion in the wound in time, which is not conducive to wound healing.

[0004] Therefore, how to monitor the drainage fluid status of the negative pressure drainage system, provide reference for medical staff and issue an alarm is an urgent problem that technicians in this field need to solve. Summary of the invention

[0005] In view of this, the present invention provides an intelligent negative pressure drainage system, which can identify the drainage liquid to monitor the bleeding of the wound; and detect the pressure and flow inside the catheter to timely detect the blockage in the catheter.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] The present invention discloses an intelligent negative pressure drainage system, comprising: a drainage module, a detection module, a cleaning module, and a control module;

[0008] The drainage module comprises: a drainage tube, a drainage fluid collector, and a negative pressure source, wherein the drainage inlet of the drainage tube is located in the wound area, the drainage outlet is located in the drainage fluid collector, and the negative pressure source provides negative pressure for the drainage fluid collector, so that the liquid in the wound area is drained into the drainage fluid collector under the action of negative pressure;

[0009] The detection module comprises: a pressure sensor array, a flow sensor, and an image detection unit, wherein the pressure sensor array detects pressure data in the drainage tube and the drainage fluid collector, the flow sensor detects flow data of the drainage fluid, and the image unit detects image data of the drainage fluid;

[0010] The cleaning head of the cleaning module cleans the obstruction in the drainage tube;

[0011] The control module receives the image data in real time, determines the red blood cell unit density in the drainage fluid, and sends an alarm to medical staff when it is greater than a set threshold; the control module receives the pressure data and flow data in real time, determines whether there is a blockage in the drainage tube and the location of the blockage, and when a blockage occurs, sends a command to the cleaning module to control the cleaning head to reach the blockage location for cleaning.

[0012] Furthermore, it also includes a storage module, a statistical module and a display module, the storage module stores the flow data and the image data in real time, and displays the drainage volume per minute and the total drainage volume, as well as the red blood cell density of the drainage fluid per minute through the display module; the statistical module calculates the number of red blood cells per minute based on the drainage volume per minute and the red blood cell density of the drainage fluid per minute, draws a bar graph based on the number of red blood cells per minute and fits a red blood cell number curve graph, estimates the total number of red blood cells in the drainage fluid collector based on the area of ​​the red blood cell number curve graph, and displays the number of red blood cells per minute and the total number of red blood cells through the display module.

[0013] Further, the pressure sensor array includes: pressure sensors arranged at fixed intervals in the drainage tube, and pressure sensors arranged in the drainage fluid collector;

[0014] The flow sensor is arranged at the drainage outlet;

[0015] The image detection unit includes: a light source, a detection part, an imaging device, and a camera device. The detection part is connected to the drainage outlet so that the drainage fluid is evenly distributed in the cavity of the detection part. After the light source irradiates the drainage fluid in the cavity, the image data of the drainage fluid magnified by a set multiple is obtained through the imaging device and the camera device.

[0016] Furthermore, the determining of the red blood cell unit density in the drainage fluid specifically includes:

[0017] Performing region division on the image data to obtain a region of interest;

[0018] Performing connected domain detection on the focus area to determine the connected area, and calculating the concentration value of each of the connected areas;

[0019] The red blood cell density of each of the connected regions is determined according to the centralized value, and the total number of red blood cells in the image is calculated according to the pixel area of ​​each of the connected regions to obtain the red blood cell unit density in the drainage fluid.

[0020] Furthermore, the obtained area of ​​interest specifically includes:

[0021] The image data is converted from RGB space to HSV space, with the H channel value as the horizontal coordinate and the number of pixels corresponding to the horizontal coordinate as the vertical coordinate, and an H channel histogram is drawn and a fitting curve is obtained;

[0022] The number of focus colors is determined according to the number of peaks in the fitting curve, different ranges of H channel values ​​are determined according to the ranges of different color peaks, the image is divided into multiple areas, and the area determined by the red peak is used as the focus area.

[0023] Furthermore, the concentration value is calculated in the following way:

[0024] The image data is converted into a grayscale image, the focus area in the grayscale image is determined and a connected domain detection is performed, and the edge adjacent pixel points are determined based on the edge pixel points of the connected area; the difference between each pixel point in each connected area and the nearest edge adjacent pixel point in the depth direction is calculated and summed, and the average value is calculated and normalized to obtain the concentration value.

[0025] Furthermore, the red blood cell density of each of the connected areas is determined according to the concentration value, specifically:

[0026] By collecting images of multiple extraction fluid samples and calculating the central value of each connected area in the collected sample image data, the number of red blood cells in each connected area is counted, and a nonlinear function is fitted based on the central value of each connected area and the corresponding number of red blood cells. Based on the fitted nonlinear function, the red blood cell density of each connected area in the image data to be detected is determined.

[0027] Further, the determining whether there is a blockage in the drainage tube and the location of the blockage specifically includes:

[0028] Arrange the pressure value sequence at the current moment according to the position sequence of each pressure sensor in the pressure sensor array and the pressure data;

[0029] According to the pressure value in the drainage fluid collector at the current moment, a corresponding reference pressure value sequence is selected from a standard pressure value sequence database;

[0030] Calculating the weights corresponding to the respective pressure sensors according to the reference pressure value sequence, and correcting the pressure values ​​in the pressure value sequence at the current moment according to the weights to obtain a corrected pressure value sequence;

[0031] The difference indexes of the pressure sensors corresponding to the corrected pressure value sequence and the reference pressure value sequence are calculated respectively, and then the abnormal coefficient of each pressure sensor is calculated, and the location of the blockage is determined according to the abnormal coefficient.

[0032] Furthermore, the formula of the weight is:

[0033]

[0034] Among them, w i is the weight corresponding to the i-th pressure sensor, F i-1 、F i 、F i+1 are the pressure values ​​of the i-1th, i, and i+1th pressure sensors in the reference pressure value sequence, e is a natural constant, and Norm represents a normalization function; the corrected pressure value of the i-th pressure sensor is expressed as:

[0035]

[0036] Among them, F i ′、F i ″ are the pressure values ​​of the i-th pressure sensor in the pressure value sequence and the corrected pressure value sequence respectively;

[0037] The formula for the difference index is:

[0038]

[0039] Among them, Lk i , Rk i are the difference indicators corresponding to the i-th pressure sensor in the corrected pressure value sequence and the reference pressure value sequence respectively;

[0040] The formula of the anomaly coefficient is:

[0041]

[0042] Among them, G i is the abnormal coefficient of the i-th pressure sensor, α l , β r They are the flow values ​​corresponding to the reference pressure value sequence and the corrected pressure value sequence respectively.

[0043] Furthermore, the cleaning module includes: a driver, a driving rod, a driving sleeve, and a cleaning head;

[0044] The driving rod is located in the driving sleeve, one end of the driving rod is fixedly connected to the cleaning head, and the other end is connected to the driver, and the driver provides a rotational torque to enable the driving rod to rotate freely in the driving sleeve;

[0045] The cleaning head is in a conical spiral structure as a whole. The driving rod drives the cleaning head to rotate and grab the obstruction in the drainage tube. The driver provides a pulling force to enable the driving rod to drive the cleaning head to remove the obstruction.

[0046] Through the above technical scheme, it can be known that compared with the prior art, the present invention discloses an intelligent negative pressure drainage system, which can detect the density of red blood cells in the drainage fluid according to the image data of the image detection unit. When the amount of wound bleeding is greater than the preset situation, an alarm is issued to the medical staff to remind them to check the patient and adjust the working parameters of the drainage system, and the drainage fluid flow and the number of red blood cells at each moment are stored and displayed by counting the drainage fluid flow and the number of red blood cells at each moment, and further calculate the total drainage flow and the total number of red blood cells in the drainage fluid collector for storage and display, so that the medical staff can query the drainage fluid of the patient's wound and judge the patient's recovery. At the same time, the pressure sensor set in the drainage tube and the drainage fluid collector can detect the pressure value of each position of the drainage system, so as to determine the position of the blockage according to the reference pressure value, and further control the cleaning module to clean the drainage tube. The present invention can monitor the flow and the number of red blood cells of the drainage system in real time and issue an alarm, provide reference and alarm for medical staff, ensure that the wound area is in a better physiological environment, promote wound healing, and accelerate the recovery of patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0048] Figure 1 It is a schematic diagram of the overall structure of an embodiment of the present invention.

[0049] Figure 2 FIG. 4 is a schematic diagram of an image unit detection section according to an embodiment of the present invention.

[0050] Figure 3 Schematic diagram of a cleaning head of a cleaning module according to an embodiment of the present invention.

[0051] In the figure, 1, driving sleeve; 2, driving rod; 3, cleaning head. DETAILED DESCRIPTION

[0052] 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.

[0053] The embodiment of the present invention discloses an intelligent negative pressure drainage system, such as Figure 1 As shown, it includes: a drainage module, a detection module, a cleaning module, and a control module;

[0054] The drainage module includes: a drainage tube, a drainage fluid collector, and a negative pressure source. The drainage inlet of the drainage tube is located in the wound area, the drainage outlet is located in the drainage fluid collector, and the negative pressure source provides negative pressure for the drainage fluid collector, so that the liquid in the wound area is drained into the drainage fluid collector under the action of negative pressure;

[0055] The detection module includes: a pressure sensor array, a flow sensor, and an image detection unit, wherein the pressure sensor array detects pressure data in the drainage tube and the drainage fluid collector, the flow sensor detects flow data of the drainage fluid, and the image unit detects image data of the drainage fluid;

[0056] The cleaning head of the cleaning module cleans the obstruction in the drainage tube;

[0057] The control module receives image data in real time, determines the red blood cell unit density in the drainage fluid, and issues an alarm to medical staff when it is greater than the set threshold. The control module receives pressure data and flow data in real time, determines whether there is a blockage in the drainage tube and the location of the blockage. When a blockage occurs, a command is sent to the cleaning module to control the cleaning head to reach the blockage location for cleaning.

[0058] In a specific embodiment, it also includes a storage module, a statistical module and a display module. The storage module stores flow data and image data in real time, and displays the drainage volume per minute and the total drainage volume, as well as the red blood cell density of the drainage fluid per minute through the display module; the statistical module calculates the number of red blood cells per minute based on the drainage volume per minute and the red blood cell density of the drainage fluid per minute, draws a bar graph based on the number of red blood cells per minute and fits a red blood cell number curve graph, estimates the total number of red blood cells in the drainage fluid collector based on the area of ​​the red blood cell number curve graph, and displays the number of red blood cells per minute and the total number of red blood cells through the display module.

[0059] Specifically, when the red blood cell concentration is greater than a preset value, an alarm is issued to medical staff, reminding them to check the patient and adjust the working parameters of the negative pressure drainage system; when the drainage volume per minute or the total drainage volume is greater than a preset threshold, an alarm is issued to medical staff, who check the patient and adjust the working parameters of the negative pressure drainage system, such as increasing or decreasing the continuous drainage negative pressure, or adjusting the intermittent time interval of the drainage negative pressure, or adjusting the drainage volume of the quantitative negative pressure drainage.

[0060] In a specific embodiment, the pressure sensor array includes: pressure sensors disposed at fixed intervals in the drainage tube, and pressure sensors disposed in the drainage fluid collector;

[0061] The flow sensor is arranged at the drainage outlet;

[0062] The image detection unit includes: a light source, a detection unit, an imaging device, and a camera device. The detection unit is connected to the drainage outlet so that the drainage fluid is evenly distributed in the cavity of the detection unit. After the light source irradiates the drainage fluid in the cavity, the imaging device and the camera device are used to obtain image data of the drainage fluid with a magnified setting multiple. The detection unit is made of transparent material, such as Figure 2 As shown, there is a flat cavity in the middle of the detection part, and the drainage fluid enters the flat cavity from the entrance of the detection part and is evenly distributed; the drainage fluid collector is light-proofed to prevent external light from interfering with the collected image data.

[0063] In a specific embodiment, determining the red blood cell unit density in the drainage fluid specifically includes:

[0064] Divide the image data into regions to obtain the region of interest;

[0065] Perform connected domain detection on the area of ​​interest to determine the connected areas, and calculate the concentration value of each connected area;

[0066] The red blood cell density of each connected area is determined according to the centralized value, and the total number of red blood cells in the image is calculated according to the pixel area of ​​each connected area to obtain the red blood cell unit density in the drainage fluid.

[0067] In a specific embodiment, obtaining the region of interest specifically includes:

[0068] Convert the image data from RGB space to HSV space, use the H channel value as the horizontal coordinate and the number of pixels corresponding to the horizontal coordinate as the vertical coordinate, draw the H channel histogram and fit the curve;

[0069] The number of focus colors is determined according to the number of peaks in the fitting curve, and the range of H channel values ​​of different ranges is determined according to the range of different color peaks. The image is divided into multiple regions, and the region determined by the red peak is used as the focus region. Among them, the corresponding focus regions can also be determined according to the color characteristics of white blood cells and the color characteristics of platelets, so as to calculate the number of white blood cells and platelets respectively.

[0070] In a specific embodiment, the concentration value is calculated in the following way:

[0071] The image data is converted into a grayscale image, the focus area in the grayscale image is determined and connected domain detection is performed, and the edge adjacent pixels are determined based on the edge pixels of the connected area; the difference between each pixel in each connected area and the nearest edge adjacent pixel in the depth direction is calculated and summed, and the average value is calculated and normalized to obtain the concentration value.

[0072] In a specific embodiment, the red blood cell density of each connected area is determined according to the concentration value, specifically:

[0073] By collecting images of multiple effluent samples and calculating the concentration value of each connected area in the collected sample image data, the number of red blood cells in each connected area is counted, and nonlinear function fitting is performed according to the concentration value of each connected area and the corresponding number of red blood cells. According to the fitted nonlinear function, the red blood cell density of each connected area in the image data to be detected is determined. By calculating the concentration value of each connected area and estimating the number of red blood cells in each connected area, the density can be effectively estimated in the case of red blood cell overlap, which effectively reduces the complexity of calculation, reduces the amount of calculation and improves the calculation efficiency compared to identifying each red blood cell through image recognition technology and then calculating the red blood cell density.

[0074] In a specific embodiment, determining whether there is a blockage in the drainage tube and the location of the blockage specifically includes:

[0075] According to the position sequence of each pressure sensor in the pressure sensor array and the pressure data, a pressure value sequence at the current moment is obtained;

[0076] According to the pressure value in the drainage fluid collector at the current moment, a corresponding reference pressure value sequence is selected from the standard pressure value sequence database;

[0077] The weight corresponding to each pressure sensor is calculated according to the reference pressure value sequence, and the pressure value in the pressure value sequence at the current moment is corrected according to the weight to obtain a corrected pressure value sequence; wherein, due to different drainage tube diameters and lengths and different drainage fluid collector negative pressures and blockages, the flow field in the drainage tube will change, and the pressure values ​​of pressure sensors at different positions will often be affected by the changes in the front and rear flow fields. Therefore, the weight of each pressure sensor is calculated through a standard reference pressure value sequence, and the pressure value is corrected based on the weight of each pressure sensor, which can further filter out the influence of the pressure value change in the non-blocked area on the difference index calculation, thereby avoiding false alarms.

[0078] The difference index of each pressure sensor corresponding to the corrected pressure value sequence and the reference pressure value sequence is calculated respectively, and then the abnormal coefficient of each pressure sensor is calculated, and the location of the blockage is determined according to the abnormal coefficient. Since the pressure value of each pressure sensor will be abnormal when a blockage occurs, the location of the blockage cannot be accurately determined based on the pressure abnormality alone. Therefore, the difference between the pressure sensor and the front and rear pressure sensors is used as the feature of the pressure sensor. According to the difference index between the actual pressure value sequence and the reference pressure value sequence, the abnormality of each pressure sensor is calculated, which can more accurately determine the location of the blockage. The pressure sensor with an abnormal coefficient greater than the preset threshold is the location where the blockage exists.

[0079] In a specific embodiment, the formula for the weight is:

[0080]

[0081] Among them, w i is the weight corresponding to the i-th pressure sensor, F i-1 、F i 、F i+1 are the pressure values ​​of the i-1th, i, and i+1th pressure sensors in the reference pressure value sequence, e is a natural constant, and Norm represents a normalization function; the corrected pressure value of the i-th pressure sensor is expressed as:

[0082]

[0083] Among them, F i ′、F i ″ are the pressure values ​​of the i-th pressure sensor in the pressure value sequence and the corrected pressure value sequence respectively;

[0084] The formula for the difference indicator is:

[0085]

[0086] Among them, Lk i , Rk iare the difference indicators corresponding to the i-th pressure sensor in the corrected pressure value sequence and the reference pressure value sequence respectively;

[0087] The formula for the anomaly coefficient is:

[0088]

[0089] Among them, G i is the abnormal coefficient of the i-th pressure sensor, α l , β r They are the flow values ​​corresponding to the reference pressure value sequence and the corrected pressure value sequence respectively.

[0090] In a specific embodiment, the cleaning module includes: a driver, a driving rod 2, a driving sleeve 1, and a cleaning head 3;

[0091] The driving rod 2 is located in the driving sleeve 1. One end of the driving rod 2 is fixedly connected to the cleaning head 3, and the other end is connected to the driver. The driver provides a rotational torque to make the driving rod 2 rotate freely in the driving sleeve 1.

[0092] like Figure 3 As shown, the cleaning head 3 is in a conical spiral structure as a whole. The driving rod 2 drives the cleaning head 3 to rotate and grab the obstruction in the drainage tube. The driver provides a pulling force to drive the driving rod 2 to drive the cleaning head 3 to remove the obstruction. When removing, first control the driving rod 2 and the driving sleeve 1 to move synchronously to reach the determined position of the obstruction; then control the driving rod 2 to rotate through the driver, so that the cleaning head 3 grabs the obstruction in the drainage tube, such as coagulated blood clots, tissues, and pus. During the continuous rotation process, the obstruction moves toward the outside of the drainage tube until it is located on the side of the cleaning head 3 in the outside direction; then the driving sleeve 1 remains fixed, and controls the driving rod 2 to move in the outside direction so that the cleaning head 3 changes from a conical spiral shape to a horizontal spiral shape, thereby reducing the spacing between the spirals and completing the grabbing of the obstruction; finally, control the driving rod 2 and the driving sleeve 1 to move synchronously outside the body, and remove the obstruction from the cleaning port of the drainage tube. Among them, the diameter of the tip part of the cleaning head 3 is the same as the diameter of the driving sleeve 1; the drainage tube is overall in a "Y" shape, including a drainage inlet, a drainage outlet and a cleaning port, and the drainage outlet and the cleaning port are located at the two branch parts of the "Y" shape.

[0093] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0094] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent negative pressure drainage system, characterized in that: include: Drainage module, detection module, cleaning module, control module; The drainage module comprises: a drainage tube, a drainage fluid collector, and a negative pressure source, wherein the drainage inlet of the drainage tube is located in the wound area, the drainage outlet is located in the drainage fluid collector, and the negative pressure source provides negative pressure for the drainage fluid collector, so that the liquid in the wound area is drained into the drainage fluid collector under the action of negative pressure; The detection module comprises: a pressure sensor array, a flow sensor, and an image detection unit, wherein the pressure sensor array detects pressure data in the drainage tube and the drainage fluid collector, the flow sensor detects flow data of the drainage fluid, and the image unit detects image data of the drainage fluid; The cleaning head of the cleaning module cleans the obstruction in the drainage tube; The control module receives the image data in real time, determines the red blood cell unit density in the drainage fluid, and sends an alarm to medical staff when it is greater than a set threshold; the control module receives the pressure data and flow data in real time, determines whether there is a blockage in the drainage tube and the location of the blockage, and when a blockage occurs, sends a command to the cleaning module to control the cleaning head to reach the blockage location for cleaning.

2. The intelligent negative pressure drainage system according to claim 1, characterized in that: It also includes a storage module, a statistics module and a display module, wherein the storage module stores the flow data and the image data in real time, and displays the drainage volume per minute and the total drainage volume, as well as the red blood cell density of the drainage fluid per minute through the display module; The statistical module calculates the number of red blood cells per minute based on the drainage volume per minute and the red blood cell density of the drainage fluid per minute, draws a bar graph based on the number of red blood cells per minute and fits a red blood cell number curve graph, estimates the total number of red blood cells in the drainage fluid collector based on the area of ​​the red blood cell number curve graph, and displays the number of red blood cells per minute and the total number of red blood cells through the display module.

3. The intelligent negative pressure drainage system according to claim 1, characterized in that: The pressure sensor array includes: pressure sensors arranged at fixed intervals in the drainage tube, and pressure sensors arranged in the drainage fluid collector; The flow sensor is arranged at the drainage outlet; The image detection unit includes: a light source, a detection part, an imaging device, and a camera device. The detection part is connected to the drainage outlet so that the drainage fluid is evenly distributed in the cavity of the detection part. After the light source irradiates the drainage fluid in the cavity, the image data of the drainage fluid magnified by a set multiple is obtained through the imaging device and the camera device.

4. The intelligent negative pressure drainage system according to claim 1, characterized in that: Determining the red blood cell unit density in the drainage fluid specifically includes: Performing region division on the image data to obtain a region of interest; Performing connected domain detection on the focus area to determine the connected area, and calculating the concentration value of each of the connected areas; The red blood cell density of each of the connected regions is determined according to the centralized value, and the total number of red blood cells in the image is calculated according to the pixel area of ​​each of the connected regions to obtain the red blood cell unit density in the drainage fluid.

5. The intelligent negative pressure drainage system according to claim 4, characterized in that: The concerned area specifically includes: The image data is converted from RGB space to HSV space, with the H channel value as the horizontal coordinate and the number of pixels corresponding to the horizontal coordinate as the vertical coordinate, and an H channel histogram is drawn and a fitting curve is obtained; The number of focus colors is determined according to the number of peaks in the fitting curve, different ranges of H channel values ​​are determined according to the ranges of different color peaks, the image is divided into multiple areas, and the area determined by the red peak is used as the focus area.

6. The intelligent negative pressure drainage system according to claim 4, characterized in that: The concentration value is calculated in the following way: The image data is converted into a grayscale image, the focus area in the grayscale image is determined and a connected domain detection is performed, and the edge adjacent pixel points are determined based on the edge pixel points of the connected area; the difference between each pixel point in each connected area and the nearest edge adjacent pixel point in the depth direction is calculated and summed, and the average value is calculated and normalized to obtain the concentration value.

7. The intelligent negative pressure drainage system according to claim 4, characterized in that: The step of determining the red blood cell density of each of the connected areas according to the concentration value is specifically as follows: By collecting images of multiple extraction fluid samples and calculating the central value of each connected area in the collected sample image data, the number of red blood cells in each connected area is counted, and a nonlinear function is fitted based on the central value of each connected area and the corresponding number of red blood cells. Based on the fitted nonlinear function, the red blood cell density of each connected area in the image data to be detected is determined.

8. The intelligent negative pressure drainage system according to claim 1, characterized in that: The determining whether there is blockage in the drainage tube and the location of the blockage specifically includes: Arrange the pressure value sequence at the current moment according to the position sequence of each pressure sensor in the pressure sensor array and the pressure data; According to the pressure value in the drainage fluid collector at the current moment, a corresponding reference pressure value sequence is selected from a standard pressure value sequence database; Calculating the weights corresponding to the respective pressure sensors according to the reference pressure value sequence, and correcting the pressure values ​​in the pressure value sequence at the current moment according to the weights to obtain a corrected pressure value sequence; The difference indexes of the pressure sensors corresponding to the corrected pressure value sequence and the reference pressure value sequence are calculated respectively, and then the abnormal coefficient of each pressure sensor is calculated, and the location of the blockage is determined according to the abnormal coefficient.

9. The intelligent negative pressure drainage system according to claim 8, characterized in that: The formula for the weight is: Among them, w i is the weight corresponding to the i-th pressure sensor, F i-1 、F i 、F i+1 are the pressure values ​​of the i-1th, i, and i+1th pressure sensors in the reference pressure value sequence, e is a natural constant, and Norm represents a normalization function; the corrected pressure value of the i-th pressure sensor is expressed as: Among them, F i ′、F i ″ are the pressure values ​​of the i-th pressure sensor in the pressure value sequence and the corrected pressure value sequence respectively; The formula for the difference index is: Among them, Lk i , Rk i are the difference indicators corresponding to the i-th pressure sensor in the corrected pressure value sequence and the reference pressure value sequence respectively; The formula of the anomaly coefficient is: Among them, G i is the abnormal coefficient of the i-th pressure sensor, α l , β r They are the flow values ​​corresponding to the reference pressure value sequence and the corrected pressure value sequence respectively.

10. The intelligent negative pressure drainage system according to claim 1, characterized in that: The cleaning module comprises: a driver, a driving rod, a driving sleeve, and a cleaning head; The driving rod is located in the driving sleeve, one end of the driving rod is fixedly connected to the cleaning head, and the other end is connected to the driver, and the driver provides a rotational torque to enable the driving rod to rotate freely in the driving sleeve; The cleaning head is in a conical spiral structure as a whole. The driving rod drives the cleaning head to rotate and grab the obstruction in the drainage tube. The driver provides a pulling force to enable the driving rod to drive the cleaning head to remove the obstruction.

Images