CN116440340A

CN116440340A - Flushing drainage device and control system

Info

Publication number: CN116440340A
Application number: CN202310476303.XA
Authority: CN
Inventors: 郭诚
Original assignee: Suzhou Homeport Medial Equipment Co ltd
Current assignee: Suzhou Homeport Medial Equipment Co ltd
Priority date: 2023-04-27
Filing date: 2023-04-27
Publication date: 2023-07-18
Anticipated expiration: 2043-04-27
Also published as: CN116440340B

Abstract

The embodiment of the specification provides a flushing drainage device and a control system, wherein the flushing drainage device comprises a drainage connecting pipe, a flushing connecting pipe, a drainage control valve, a flushing control valve, a fixing device, a monitoring device, an early warning device, a controller and a processor; the drainage control valve comprises a drainage valve body, a drainage valve rod and a drainage control structure; the flushing control valve comprises a flushing valve body, a flushing valve rod and a flushing control structure; the fixing device is used for fixing the drainage connecting pipe and the flushing connecting pipe on the target object; the monitoring device is used for monitoring in real time to acquire detection data and/or drainage tube in-vitro images; the early warning device is used for sending early warning information based on detection data and/or drainage characteristics; the drainage characteristics are determined based on the drainage tube in-vitro image; the controller is used for controlling the opening and closing of the drainage control valve and/or the flushing control valve and the opening amplitude; the processor is used for: based on the drainage tube in-vitro image, adjusting flushing drainage parameters; and controlling the operation of the irrigation and drainage device.

Description

Flushing drainage device and control system

Technical Field

The present disclosure relates to the field of medical devices, and in particular, to a flushing drainage device and a control system.

Background

In laparoscopic surgery, irrigation and drainage of the surgical site of a patient is required using irrigation drainage devices for removing eschar or ensuring visualization of the surgical site when bleeding. However, in the clinical process, the double sleeve is easily blocked by drainage liquid, pus or fine tissue in the flushing drainage process, so that the drainage effect cannot reach the expected problem. And after the double sleeve is blocked, the double sleeve is replaced, so that the infection risk is brought to the patient. In addition, the parameters of the flushing and drainage needed by different patients can be different according to the conditions of the patients.

CN108434545a discloses a separated flushing drainage device, which comprises a drainage connecting pipe, a flushing connecting pipe, a drainage control valve and a flushing control valve, wherein the drainage control valve and the flushing control valve are distributed in parallel up and down, and the flushing connecting pipe and the drainage connecting pipe are distributed left and right; the drainage control valve consists of a drainage valve body, a drainage valve rod and a drainage control structure; the flushing control valve consists of a flushing valve body, a flushing valve rod and a flushing control structure. CN108434545a adopts a separate pipe to separate flushing and drainage, which can eliminate the risk of clogging the device with blood clots or impurities when sucking waste liquid; the air pressure adjusting mechanism is additionally arranged, so that the suction capacity can be reduced by manually adjusting the leaked air quantity during suction, and the safety of soft organs and tissues is ensured by adjusting the drainage negative pressure value. However, it does not take into account that the irrigation and drainage parameters required for different patients may be different, and that the accuracy of the adjustment of the drainage negative pressure value by means of manual adjustment is not well understood.

Accordingly, it is desirable to provide a flushing drainage device and control system that addresses the problem of clogging without replacing the built-in drainage tube; and intelligently adjusting and matching flushing drainage parameters, so as to improve drainage effect.

Drawings

The present specification will be further elucidated by way of example embodiments, which will be described in detail by means of the accompanying drawings. The embodiments are not limiting, in which like numerals represent like structures, wherein:

FIG. 1 is a schematic illustration of an exemplary configuration of an irrigation drainage device according to some embodiments of the present disclosure;

FIG. 2 is a schematic illustration of an exemplary configuration of a double sleeve according to some embodiments of the present disclosure;

FIG. 3 is an exemplary flow chart of a method of irrigation drainage control shown in accordance with some embodiments of the present description;

FIG. 4 is an exemplary schematic diagram illustrating determining drainage characteristics based on a drainage characteristic model according to some embodiments of the present description;

FIG. 5 is an exemplary flow chart for adjusting initial flush drainage parameters based on iterative updating, according to some embodiments of the present description;

FIG. 6 is an exemplary diagram illustrating an evaluation value determination based on an evaluation model according to some embodiments of the present disclosure;

FIG. 7 is an exemplary flow chart for issuing early warning information according to some embodiments of the present disclosure.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.

It will be appreciated that "system," "apparatus," "unit" and/or "module" as used herein is one method for distinguishing between different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

As used in this specification and the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.

A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.

Current irrigation and drainage devices mostly require insertion of a drainage double cannula on the patient's abdominal wall to drain the fluid product from the patient's abdominal cavity. However, in the double-sleeve drainage process, the abdominal dropsy mixed human tissues are easy to gather and accumulate in the drainage double-sleeve, so that the drainage tube is blocked. CN108434545a discloses a separation type flushing drainage device which adopts a separation type pipeline, and can eliminate the risk of blocking the device by blood clots or sundries when sucking waste liquid; the air pressure adjusting mechanism is additionally arranged, so that the drainage negative pressure value can be manually adjusted, and the safety of soft organs and tissues is ensured. But the physical parameters and the operation conditions of different patients are different, and the required flushing drainage parameters can be different. And the data of each flushing drainage can also influence the next flushing drainage, and dynamic adjustment is needed to improve the flushing drainage effect. While CN108434545a does not consider the adjustment of the irrigation and drainage parameters, the manual adjustment of the drainage negative pressure value may also bring about a certain adjustment error.

In view of this, some embodiments of the present disclosure provide a flush drainage device and control system that by providing a housing on a double-cannula inner tube, for example, an L-shaped rod is provided on the housing, the housing being movable relative to the double-cannula inner tube to manipulate the L-shaped rod to catch on a blockage of a through-hole; the turbine blades are arranged to further break and separate non-liquid substances to be discharged, so that the risk of blocking the inner tube of the double sleeve is reduced, and the blocking problem can be further solved; meanwhile, based on the external image of the drainage tube, the flushing drainage parameters are adjusted, so that the negative pressure value and other flushing drainage parameters are adaptively adjusted according to the condition of a patient, and the flushing drainage effect is further improved.

Fig. 1 is a schematic illustration of an exemplary configuration of an irrigation drainage device according to some embodiments of the present description. In some embodiments, the irrigation and drainage device 100 may include a drainage connection tube 110, an irrigation connection tube 120, a drainage control valve 130, an irrigation control valve 140, a fixation device 150, a monitoring device 160, an early warning device 170, a controller 180, and a processor 190.

Drainage connection tube 110 may be used to connect drainage tubes. Wherein, the lower end opening of the drainage connection pipe 110 is provided with a drainage pipe joint for connecting and inserting a drainage pipe.

Flush connection tube 120 may be used to connect the various flush structures. For example, a flush connection tube may be used to connect flush control valve 140. Wherein a lower end opening of the flush connection pipe 120 is provided with a flush pipe joint for inserting a flush pipe.

The drainage control valve 130 may refer to a structure for controlling the irrigation drainage device to drain. For example, the drain control valve 130 may control the closing or opening of the drain tube by closing or opening, and the opening amplitude of the drain control valve 130 may be adjusted based on the actual drain demand.

In some embodiments, the drain control valve 130 may include a drain valve body 130-1, a drain valve stem 130-2, and a drain control structure 130-3.

The drainage control structure 130-3 is disposed on the open structure at the left end of the drainage valve body 130-1, and the drainage valve rod 130-2 is disposed inside the drainage valve body 130-1. The drainage valve rod 130-2 is connected with the drainage control structure 130-3 through an elastic piece and can move left and right in the drainage valve body 130-1. The drainage operation is realized through the cooperation of the drainage valve body 130-1, the drainage valve rod 130-2 and the drainage control structure 130-3.

The irrigation control valve 140 may refer to a structure for controlling irrigation of the irrigation drainage device. For example, the flush control valve 140 may control the closing or opening of the flush tube by closing or opening, and the magnitude of the opening of the flush control valve 140 may be determined based on the actual flush demand.

In some embodiments, the flush control valve 140 may include a flush valve body 140-1, a flush valve stem 140-2, and a flush control structure 140-3.

The flushing control structure 140-3 is provided on an open structure at the left end of the flushing valve body 140-1, and the flushing valve stem 140-2 is located inside the flushing valve body 140-1. The flushing valve stem 140-2 is connected to the flushing valve body 140-1 by an elastic member and can move left and right within the flushing valve body 140-1. The flushing operation is achieved by the cooperation of the flush valve body 140-1, the flush valve stem 140-2, and the flush control structure 140-3.

In some embodiments, the drain control valve 130 and the flush control valve 140 are disposed in parallel up and down, and the flush connection tube 120 and the drain connection tube 110 are disposed in a side-to-side relationship.

The fixing device 150 may be used to fix the drainage connection tube 110, the irrigation connection tube 120 to the target object. For example, the fixation device 150 may include a wire or other fixation structure. The drainage connecting tube 110 and the flushing connecting tube 120 are fixed on the target object through the silk threads, so that a certain activity degree can be reserved, and a user can conveniently rotate the drainage connecting tube 110 and/or the flushing connecting tube 120 left and right. Wherein the target object may comprise a surgical patient.

The monitoring device 160 may be used to monitor the irrigation and drainage process in real time to obtain detection data and/or drainage tube in vitro images. The monitoring device 160 may include a camera device, a pressure gauge, a liquid flow sensor, a gas flow sensor, a temperature and humidity sensor, and the like.

The alert device 170 may be configured to issue alert information based on the detected data and/or the drainage characteristics. Wherein the drainage characteristics may be determined based on the drainage tube in vitro image.

The controller 180 may be used to control the opening and closing of the drain control valve 130 and/or the flush control valve 140, as well as the opening amplitude.

Processor 190 may be used to control the operation of various components or structures in the irrigation drainage device. For example, processor 190 may send instructions to controller 180 to control the opening and closing of drain control valve 130 and/or flush control valve 140, as well as the opening amplitude. In some embodiments, processor 190 may adjust the irrigation drainage parameters based on the drainage tube in vitro image; and controlling operation of the irrigation and drainage device based on the adjusted irrigation and drainage parameters.

For more details on detection data, drainage tube in vitro images, drainage characteristics, pre-alarm information, and how to adjust irrigation drainage parameters, see the description elsewhere in this specification.

It should be noted that the above description of the irrigation and drainage device 100 and its modules is for convenience of description only and is not intended to limit the present disclosure to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the principles of the system, various modules may be combined arbitrarily or a subsystem may be constructed in connection with other modules without departing from such principles.

In some embodiments, the drain portion of the irrigation drainage device may be a double cannula structure.

Fig. 2 is a schematic illustration of an exemplary configuration of a double sleeve according to some embodiments of the present description. In some embodiments, as shown in FIG. 2, double-sleeve 200 may include a double-sleeve outer tube 210, a double-sleeve inner tube 220, a housing 230, an L-shaped rod 240, and turbine blades 250.

In some embodiments, the housing 230 is sleeved outside the double-sleeved inner tube 220, one end of the housing 230 is placed outside the target object, and the other end of the housing is placed inside the target object along with the double-sleeved inner tube 220.

In some embodiments, the end of the housing 230 that is disposed outside the target object is provided with a port that facilitates the application of external force, and the port may have a variety of designs. In some embodiments, an external force applied to an external port of the housing 230 may cause the housing 230 to move relative to the double-cannula inner tube 220. The movement may include a movement of the housing 230 in a left-right direction with respect to the double-sleeve inner tube 220 or a rotation about the double-sleeve inner tube 220.

In some embodiments, an L-shaped rod 240 is provided on the housing 230. As shown in fig. 2, 4L-shaped rods are shown disposed on the housing 230. In some embodiments, L-shaped rod 240 is fixedly coupled to housing 230, and the position of L-shaped rod 240 corresponds to the position of the aperture in double-cannula outer tube 210. For example, in FIG. 2, L-shaped rods 240 are provided alongside both plugged holes; l-shaped rods 240 are also provided alongside the other two unblocked holes, respectively.

In some embodiments, the L-shaped rod 240 may catch on a blocking object (e.g., necrotic tissue, etc.) as the housing 230 moves rightward relative to the double-cannula inner tube 220. The housing 230 is then rotated by an external force to an extent that will cause the caught occluding object to be squeezed between the L-shaped rod 240 and the double cannula outer tube 210. As the housing 230 rotates, the blocking object is caught in the gap between the double-cannula inner tube 220 and the double-cannula outer tube 210 and is ground to some extent, and is discharged outside the body as negative pressure is introduced into the double-cannula inner tube 220.

In some embodiments, the turbine blade 250 may be disposed before the interface of the double-sleeved inner tube 220 with the negative pressure device. In some embodiments, the turbine blades 250 may cause objects (e.g., necrotic tissue) that will enter the double-cannula tube 220 to be further mashed, making it less prone to clogging at the interface of the double-cannula tube 220 and the negative pressure device.

In some embodiments, the turbine blade 250 does not need to be provided with a driving device, and when negative pressure drainage begins, the turbine blade can rotate by itself along with the discharge of the liquid to be discharged in the double sleeve.

In some embodiments, the size of the turbine blade is determined based on the size of the space within the double sleeve.

In some embodiments, after the irrigation tube is used to irrigate the surgical site with normal saline, the fluid to be discharged is introduced between the double-cannula outer tube 210 and the double-cannula inner tube 220, is sucked into the double-cannula inner tube 220 due to the negative drainage pressure, and is then discharged outside. Non-liquid materials (e.g., floes, blood clots, sloughed tissue pieces, etc.) present in the fluid to be discharged are further ground as they pass through the turbine blades 250, preventing clogging.

FIG. 3 is an exemplary flow chart of a method of irrigation drainage control according to some embodiments of the present description. In some embodiments, the process 300 may be performed by a processor of the irrigation drainage device 100. As shown in fig. 3, the process 300 includes the steps of:

and 310, acquiring detection data and drainage tube in-vitro images.

The detection data may refer to data affecting the irrigation and drainage effect during the irrigation and drainage process. For example, the detection data may include an actual drainage negative pressure value of the irrigation drainage, etc.

The drainage tube extracorporeal image may refer to an image in a drainage tube located in an extracorporeal portion of the target subject.

In some embodiments, the processor may obtain the detection data based on a pressure gauge or the like in the monitoring device; and acquiring an external image of the drainage tube through an image pickup device in the monitoring device.

Step 320, adjusting irrigation drainage parameters based on the drainage tube in vitro image.

The irrigation and drainage parameters may refer to parameters of the irrigation and drainage device when performing irrigation and drainage. For example, the irrigation drainage parameters may include an irrigation control valve opening amplitude, a drainage negative pressure value, and the like.

In some embodiments, the processor may adjust the irrigation drainage parameters in a variety of ways based on the drainage tube in vitro image. For example, the processor may set a preset table based on a relationship between the drainage tube in-vitro image and the irrigation drainage parameters, and adjust the irrigation drainage parameters by looking up the table.

In some embodiments, the processor may determine a drainage characteristic and adjust the initial flush drainage parameter based on the drainage characteristic, see in particular fig. 4 and its associated description.

And 330, controlling the operation of the flushing drainage device based on the adjusted flushing drainage parameters.

In some embodiments, the processor may send the adjusted flush drainage parameters to a controller that controls operation of the flush drainage device.

Step 340, sending out early warning information based on the detection data and/or the drainage characteristics; the drainage characteristics are determined based on the drainage tube in vitro image.

The early warning information can be reminding information sent when abnormality occurs in the flushing drainage process. For example, the early warning information may include a bleeding early warning, a wound infection early warning, a blockage early warning, a negative pressure value out-of-range early warning, and the like.

The negative pressure value exceeding the range of the early warning, namely the early warning that the negative pressure value of the flushing drainage possibly exceeds the negative pressure value range matched with the target object. See fig. 5 and its associated description for a range of negative pressure values.

Drainage characteristics may refer to data used to reflect characteristics of drainage tube in vitro images. For example, drainage features may include liquid color, liquid turbidity, etc. in the drainage tube in-vitro image.

In some embodiments, the processor determines the content of the drainage features based on the drainage tube in vitro image may be seen in FIG. 4 and its associated description.

In some embodiments, the processor may issue the pre-warning information based on historical experience based on the detection data and/or the drainage characteristics.

In some embodiments, the processor may refer to fig. 7 and its related description for more content based on the pre-warning device issuing pre-warning information.

According to some embodiments of the present disclosure, by judging whether to adjust the flushing drainage parameter based on the drainage tube in-vitro image, the flushing drainage parameter can be dynamically adjusted based on the real-time flushing drainage condition, so as to improve the flushing drainage effect; based on detection data and/or drainage tube external images, early warning information is sent, possible abnormality or risk in the flushing drainage process can be found in time, treatment is performed in time, and the flushing drainage safety is improved.

It should be noted that the above description of the process 300 is for purposes of example and illustration only and is not intended to limit the scope of applicability of the present disclosure. Various modifications and changes to flow 300 will be apparent to those skilled in the art in light of the present description. However, such modifications and variations are still within the scope of the present description.

In some embodiments, the processor may also be configured to obtain initial flush drainage parameters; operating a flushing drainage device based on initial flushing drainage parameters, and acquiring drainage tube in-vitro images; determining drainage characteristics based on the drainage tube in-vitro image; based on the drainage characteristics, initial irrigation drainage parameters are adjusted.

The initial flush drainage parameter may refer to an initially determined flush drainage parameter. For example, the initial flush drainage parameter may be a preset parameter or an empirically determined parameter.

In some embodiments, the processor may send the initial flush drainage parameters to the controller, controlling the flush drainage device to operate based on the initial flush drainage parameters. Simultaneously, the processor sends an instruction to the monitoring device to acquire the external image of the drainage tube in real time.

In some embodiments, the processor may determine the drainage characteristics in a variety of ways based on the drainage tube in vitro image. For example by means of image recognition.

In some embodiments, drainage characteristics may include degree of liquid color abnormality, liquid fluidity characteristic value, bleeding condition, non-liquid substance content; the processor may be further configured to: and processing the drainage tube in-vitro image through a drainage characteristic model to determine drainage characteristics.

Wherein, the abnormal degree of the liquid color is the abnormal degree of the liquid color flowing through the drainage tube; the liquid fluidity characteristic value may refer to a value reflecting the fluidity of the liquid (such as a flow rate); bleeding conditions include bleeding, non-bleeding, bleeding volume; the non-liquid matter content may refer to the content of non-liquid matter in a liquid and may be expressed in terms of density. Non-liquid substances may include floes, blood clots, sloughed tissue pieces, and the like.

In some embodiments, the drainage feature model may be a machine learning model or a neural network model, which is custom hereinafter. For example, convolutional neural network models (Convolutional Neural Networks, CNN), and the like.

According to some embodiments of the present disclosure, the drainage characteristics are determined through the drainage characteristic model, so that the accuracy and efficiency of determining the drainage characteristics can be improved by using the self-learning capability of the machine learning model.

FIG. 4 is an exemplary schematic diagram illustrating determining drainage characteristics based on a drainage characteristic model according to some embodiments of the present description.

In some embodiments, the drainage feature model may include a first feature extraction layer 420, a liquid color identification layer 440-1, a liquid fluidity identification layer 440-2, a bleeding situation determination layer 440-3, and a non-liquid substance identification layer 440-4.

The first feature extraction layer 420 may be used to process the drainage tube in vitro image 410 to determine an image feature vector 430-1. The liquid color recognition layer 440-1 may be used to process the image feature vector 430-1 and the surgical information 430-2 to determine the liquid color anomaly level 450-1. The fluid flow identification layer 440-2, the bleeding situation determination layer 440-3, and the non-fluid substance identification layer 440-4 may be used to process the image feature vector 430-1 to determine the fluid flow feature value 450-2, the bleeding situation 450-3, and the non-fluid substance content 450-4, respectively.

The surgical information 430-2 may include, among other things, the surgical site, type of surgery, etc. of the target object. For more details on the output parameters of each layer of the drainage feature model, see the relevant description above.

In some embodiments, the network structure of the first feature extraction layer 420 may be CNN; the network structure of the liquid color recognition layer 440-1, the liquid fluidity recognition layer 440-2, the bleeding situation determination layer 440-3, and the non-liquid substance recognition layer 440-4 may be NN.

In some embodiments, each layer in the drainage feature model may be obtained by joint training. The method of joint training may be gradient descent method or the like.

In some embodiments, the first training sample for training the drainage feature model may include a sample drainage tube in vitro image, sample surgical information, and may be obtained from historical data. The first label may include an actual liquid color anomaly level corresponding to the sample drainage tube in-vitro image and the sample surgical information, an actual liquid flowability feature value corresponding to the sample drainage tube in-vitro image, an actual bleeding condition, and an actual non-liquid substance content. The first tag may be determined by manual annotation based on experience or calculation.

In some embodiments, the processor may input the sample draft tube in vitro image into an initial first feature extraction layer, resulting in an initial image feature vector.

In some embodiments, the processor may input the initial image feature vector and the sample surgical information into an initial liquid color recognition layer to obtain an initial liquid color anomaly level; and constructing a first loss function based on the initial liquid color anomaly degree and the actual liquid color anomaly degree, updating parameters of the initial liquid color identification layer through the first loss function, and acquiring the trained liquid color identification layer through parameter updating.

In some embodiments, the processor may input the initial image feature vector into the initial liquid flow identification layer, the initial bleeding condition determination layer, and the initial non-liquid substance identification layer, respectively, to obtain an initial liquid flow feature value, an initial bleeding condition, and an initial non-liquid substance content. Constructing a second loss function based on the initial liquid flow characteristic value and the actual liquid flow characteristic value; constructing a third loss function based on the initial bleeding situation and the actual bleeding situation; a fourth loss function is constructed based on the initial non-liquid material content and the actual non-liquid material content. And respectively updating parameters of the initial liquid fluidity identification layer, the initial bleeding condition judgment layer and the initial non-liquid substance identification layer by using the second loss function, the third loss function and the fourth loss function, and acquiring the trained liquid fluidity identification layer, bleeding condition judgment layer and non-liquid substance identification layer through parameter updating.

In some embodiments, multiple layers of the drainage feature model may be trained synchronously. The processor may count the accuracy of the model during the training process.

According to some embodiments of the present disclosure, different drainage characteristics are determined by setting the drainage characteristic model in different layers, so that pertinence of drainage characteristic model prediction can be improved, and efficiency and accuracy can be improved.

In some embodiments, the processor may adjust the initial flush drainage parameters in a variety of ways based on the drainage characteristics. For example, the processor may set a preset table based on the correspondence between the drainage characteristics and the flushing drainage parameters, and obtain the flushing drainage parameters corresponding to the drainage characteristics by looking up the table.

In some embodiments, the processor may determine whether the drainage characteristics meet a preset condition, and if not, adjust the initial flush drainage parameters, as described in detail with reference to fig. 5 and related description.

According to some embodiments of the present disclosure, by acquiring the initial drainage parameters and adjusting the initial drainage parameters based on the drainage tube in-vitro image acquired in real time, dynamic adjustment of the flushing drainage parameters can be achieved, and the flushing drainage effect is improved.

In some embodiments, the processor may determine whether the drainage characteristic meets a preset condition based on the bleeding status, the degree of liquid color abnormality, the liquid flowability characteristic value, and the non-liquid substance content; and adjusting the initial flushing drainage parameters in response to the preset condition being not met.

The preset condition may be a preset condition for judging whether the drainage characteristic meets the requirement. For example, the predetermined condition may include that the bleeding condition is no bleeding, that the degree of abnormality of the liquid color is below a predetermined degree, that the liquid fluidity characteristic value is below a predetermined value, that the content of the non-liquid substance is below a predetermined content, and the like. For more on bleeding status, degree of liquid color abnormality, liquid flowability characteristic value, and non-liquid substance content, see the related description of fig. 4.

In some embodiments, the preset condition may include the liquid flow characteristic value being equal to or greater than the first flow threshold value and equal to or less than the second flow threshold value.

The first flowability threshold may refer to the minimum value of the liquid flowability characteristic value within a preset range. The preset range may refer to a range of liquid flow characteristics that ensure proper flush drainage. When the liquid flow characteristic value is less than the first fluidity threshold, clogging of the drainage tube may occur.

The second flowability threshold may refer to the maximum value of the liquid flowability characteristic value within a preset range.

In some embodiments, the first and second flow thresholds may be related to an opening amplitude of the flush control valve. The larger the opening amplitude of the flushing control valve is, the larger the corresponding fluidity characteristic value of the flushing liquid is, and the first fluidity threshold value and the second fluidity threshold value can be increased accordingly.

In some embodiments, the processor may determine the first and second flow thresholds based on the flush control valve opening amplitude based on a variety of ways. For example, the processor may store a look-up table of different flush control valve opening magnitudes versus first and second flow thresholds, the first and second flow thresholds being determined based on a look-up table.

In some embodiments of the present disclosure, determining the first and second flow thresholds based on the opening amplitude of the flush control valve may improve the accuracy and rationality of determining the flow thresholds.

In some embodiments, the processor may adjust the initial flush drainage parameters based on the drainage characteristics in a variety of ways to determine adjusted flush drainage parameters.

For example, the processor may stop flushing immediately based on the bleeding condition being bleeding, and issue an early warning to facilitate further analysis of the condition by the physician, without the need to adjust the flushing drainage parameters.

For another example, when the bleeding condition is that bleeding does not occur, the processor may further issue a surgical wound infection that may exist when the degree of abnormality of the liquid color and the content of the non-liquid substance do not satisfy the preset conditions, so that the doctor further analyzes the condition to determine whether to continue drainage or whether to pull out the drainage tube.

For another example, the processor may adjust the initial flush drainage parameter when the bleeding condition, the degree of abnormality of the liquid color, and the content of the non-liquid substance all satisfy the preset conditions, based on the liquid flowability characteristic value not satisfying the preset conditions.

In some embodiments, the processor may preset corresponding flush drainage parameters for different drainage features in advance and store them, recalling directly based on the drainage features when needed for adjustment.

In some embodiments of the present disclosure, the initial flushing drainage parameters are adjusted based on whether the drainage characteristics meet preset conditions, so that suitable operating parameters can be provided for the flushing drainage device, the flushing drainage effect is reduced due to unsuitable flushing drainage parameters, and the risk of drainage tube blockage is reduced.

In some embodiments, the processor may also adjust the initial flush drainage parameters based on user feedback.

User feedback may refer to feedback of the target subject during irrigation drainage. For example, the user feedback may include pain, pain type, and the like. The pain type may include stinging, distending pain, and the like. The processor may determine user feedback by acquiring the expression and voice of the target object, input from the healthcare worker, and the like through the monitoring device.

In some embodiments, the processor may preset a correspondence between the pain type and the initial flush drainage parameters, and adjust the initial flush drainage parameters based on a look-up table.

In some embodiments, the processor may randomly adjust the initial flush drainage parameter to be smaller based on the current flush drainage parameter, and randomly generate the plurality of candidate adjustment schemes. Predicting drainage characteristics of the flushing drainage parameters adjusted by each candidate adjustment scheme through an evaluation model; and selecting a candidate adjustment scheme with drainage characteristics meeting preset conditions, and determining the corresponding flushing drainage parameters as flushing drainage parameters after adjustment. For more details on the assessment model see fig. 6 and its associated description.

In some embodiments, when there are a plurality of candidate adjustment schemes meeting the condition, a corresponding flush drainage parameter is randomly selected as the post-adjustment flush drainage parameter.

Some embodiments of the present description provide for adjusting initial irrigation and drainage parameters via user feedback, taking into account the intuitive feel of the user during irrigation and drainage, reducing the likelihood of surgical risk.

FIG. 5 is an exemplary flow chart for adjusting initial flush drainage parameters based on iterative updating, according to some embodiments of the present description.

In some embodiments, the process 500 may be performed by a processor. As shown in fig. 5, the process 500 includes the steps of:

step 510, determining a negative pressure value range matched with the target object in a vector matching mode based on the environment data and the basic information of the target object.

Environmental data may refer to data of various factors in the environment in which the target object is flushed. For example, the environmental data may include temperature, humidity, barometric pressure, and the like.

In some embodiments, the processor may collect environmental data via the monitoring device.

The basic information of the target object may refer to information related to the target object itself. For example, the underlying information of the target subject may include patient age, physical parameters, past medical history, surgical information, and the like.

The negative pressure value range may refer to a reasonable range of negative pressure values of the irrigation drainage that match the target object.

In some embodiments, the processor may construct a feature vector based on the environmental data and the underlying information of the target object, retrieve the feature vector from a vector database, and determine a historical feature vector for which the vector distance meets a preset distance threshold. And determining the historical negative pressure value range which is stored in association with the historical feature vector as the negative pressure value range which is matched with the current target object. The historical feature vector is constructed based on the historical environmental data and the underlying information of the historical other target objects. The vector database is used for storing the historical characteristic vector and the corresponding historical negative pressure value range.

If a plurality of history feature vectors meeting the preset distance threshold exist, carrying out weighted average on a plurality of corresponding history negative pressure value ranges, and determining the negative pressure value range of the current target object. The weight is related to the vector distance, the greater the vector distance, the smaller the weight.

And step 520, performing at least one round of iterative updating on the initial flushing drainage parameters in the negative pressure value range until the iterative condition is met, and obtaining the target flushing drainage parameters.

In some embodiments, the initial flush drainage parameters may include flush drainage parameters used for the last flush drainage, i.e., historical flush drainage parameters described below.

The target irrigation drainage parameter may refer to an irrigation drainage parameter that is ultimately used for irrigation drainage.

In some embodiments, as shown in fig. 5, the processor may determine to acquire the target irrigation drainage parameters based on at least one iteration of updating the initial irrigation drainage parameters from step 522-step 526 below.

In some embodiments, the parameters for performing the first iteration update are initial drainage parameters, which may include flushing drainage parameters preset by the user; the flushing drainage parameters used for the last flushing drainage of the flushing drainage device, i.e. the historical flushing drainage parameters described below, may also be included. And when the second round and more rounds of iteration are carried out, the method is carried out based on the flushing drainage parameters updated in the previous round of iteration.

At step 522, an update magnitude is determined based on the historical irrigation drainage parameters.

The historical irrigation and drainage parameters may refer to the irrigation and drainage parameters used by the irrigation and drainage device for last irrigation and drainage. For example, this time wash drainage device for wash drainage device and carry out 3 rd time, then history wash drainage parameter is the wash drainage parameter of 2 nd time wash drainage.

The update amplitude may refer to an adjustment value that is updated for each iteration of the historical flush drainage parameter. For example, the update amplitude may include any one or a combination of an adjustment amplitude of the flush control valve opening amplitude, an adjustment amplitude of the drain control valve opening amplitude, an adjustment value of the drain negative pressure, and the like.

In some embodiments, the processor may determine the update magnitudes of the different irrigation drainage parameters based on the accuracy of the drainage feature model. The processor may preset a correspondence between the accuracy of the drainage feature model and the updated amplitude of each irrigation drainage parameter based on the historical data. For content on drainage feature model accuracy see fig. 4 and its associated description.

In some embodiments, the update magnitudes of the different historical irrigation drainage parameters are different, and the update magnitudes are also related to the weights corresponding to each of the historical irrigation drainage parameters, and the weights can be determined by a preset. For example, assuming that the accuracy of the drainage feature model is T and the weight of a certain parameter in the historical flushing drainage parameters is q, the update amplitude is q× (1-T).

In some embodiments, the update magnitude may be represented in a vector fashion. Each element in the vector can respectively represent the updated sub-amplitude of the parameters such as the opening amplitude of the flushing control valve, the opening amplitude of the drainage control valve, the drainage negative pressure value and the like.

And step 524, updating the historical flushing drainage parameters based on the updating amplitude to obtain an updated flushing drainage scheme.

In some embodiments, the processor may add/subtract the updated amplitude to the historical irrigation drainage parameter based on the updated amplitude, resulting in an adjusted irrigation drainage parameter. In some embodiments, the processor may update the historical flush drainage parameter based on a relationship of the liquid flow characteristic value to a preset condition. For example, when the liquid fluidity characteristic value is less than the first fluidity threshold value, adding the opening amplitude of the flushing control valve to the corresponding updating amplitude; when the liquid fluidity characteristic value is greater than the second fluidity threshold value, the corresponding update amplitude is subtracted from the opening amplitude of the flushing control valve.

Step 526, the updated irrigation drainage parameters are evaluated by the evaluation model, and an evaluation value is determined.

The evaluation value may refer to an evaluation for the effect of flush drainage based on updated flush drainage parameters. The evaluation value may be determined based on at least one of the drainage characteristics. The closer at least one of the drainage characteristics is to the preset condition, the higher the evaluation value.

In some embodiments, the processor may determine the evaluation value based on historical flush drainage data in a variety of ways. For example, the processor may retrieve stored historical flush drainage effects in the historical data based on the historical flush drainage data and determine the evaluation value.

In some embodiments, the processor may process the updated flush drainage parameters based on the evaluation model to determine an evaluation value.

In some embodiments, when the iteration is over, the processor may determine the updated flush drainage parameter with the largest evaluation value as the target flush drainage parameter. The end of the iteration may include that the number of iterative updates has reached a preset number of times threshold, or that the evaluation value is greater than a preset evaluation threshold, etc.

In some embodiments, the assessment model may be a machine learning model. For example, the evaluation model may be a neural network model such as a deep neural network (Deep Neural Network, DNN).

In some embodiments, the assessment model may be obtained through training, and the relevant description of FIG. 6 may be referred to for the context of training the assessment model.

In some embodiments of the present disclosure, the updated irrigation drainage parameters are evaluated by an evaluation model, an evaluation value is determined, and an appropriate irrigation drainage parameter scheme can be obtained based on the evaluation value, thereby improving the irrigation drainage efficiency and quality.

FIG. 6 is an exemplary diagram illustrating determination of adjusted drainage characteristic values based on an evaluation model according to some embodiments of the present disclosure.

In some embodiments, as shown in fig. 6, the evaluation model may include a second feature extraction layer 620 and a prediction layer 650; the second feature extraction layer 620 may be configured to process the current drainage tube in vitro image 610 to determine a current image feature vector 630; the prediction layer 650 may be configured to process the current image feature vector 630, the updated post-flush drainage parameters 640, and determine adjusted drainage feature values 670.

The current drainage tube external image is the drainage tube external image acquired when the guiding flow characteristics do not meet the preset conditions and the flushing drainage parameters are required to be adjusted. The current image feature vector may refer to a vector reflecting drainage features of the current drainage tube in vitro image. The adjusted drainage characteristic value may refer to a drainage characteristic of the irrigation drainage based on the updated irrigation drainage parameter.

In the process of iteratively updating the flushing drainage parameters, the second feature extraction layer only processes the current drainage tube in-vitro image (namely, the drainage tube in-vitro image acquired when the flushing drainage parameters are required to be adjusted), and does not participate in the subsequent iteration process. Namely, in the process of adjusting the flushing drainage parameters each time, the second characteristic extraction layer is only used once before each adjustment, and the current drainage tube in-vitro image is processed; in the subsequent iteration process, only the updated flushing drainage parameters are input to the prediction layer, and the current image feature vector is kept unchanged.

In some embodiments, the processor may determine the evaluation value based on the adjusted drainage characteristic value. For example, at least one of the adjusted drainage characteristic values is compared with a preset condition, and the closer to the preset condition, the higher the evaluation value.

In some embodiments, the second feature extraction layer 620 may be a neural network model (NN), and the prediction layer 650 may be a recurrent neural network model (Recurrent Neural Network, RNN).

In some embodiments, the assessment model may be obtained through training; the training comprises the following steps: based on the trained drainage characteristic model, migrating parameters of the first characteristic extraction layer to the second characteristic extraction layer to serve as parameters of the second characteristic extraction layer; and fixing parameters of the second feature extraction layer, and training the prediction layer.

In some embodiments, the parameters of the first feature extraction layer of the drainage feature model are migrated to the second feature extraction layer. The processor may fix parameters of the second feature extraction layer while training the evaluation model, and process the sample drainage tube in vitro image based on the second feature extraction layer to determine a sample image feature vector. Then, the processor can input the sample image feature vector and the flushing drainage parameters after updating the sample into an initial prediction layer to determine an initial drainage feature value; a loss function is constructed based on the initial drainage characteristic value and the second label. Updating the initial prediction layer based on the loss function, and determining the trained prediction layer through parameter updating.

The first feature extraction layer and the second feature extraction layer have the same structure and can be a neural network model.

According to some embodiments of the present disclosure, parameters of a first feature extraction layer in a trained drainage feature model are migrated to a second feature extraction layer, which is favorable for solving the problem that a label is difficult to obtain when the second feature extraction layer is independently trained, improving training efficiency of an evaluation model, and reducing training difficulty.

According to some embodiments of the present disclosure, by setting the evaluation model as the second feature extraction layer and the prediction layer, and processing corresponding data through different layers respectively, the data processing efficiency can be further improved, and the prediction accuracy can be improved. Through joint training, the problem that the label is not good to acquire when the second feature extraction layer is trained independently can be solved, and the training effect is improved.

In some embodiments, the early warning device may determine whether the detection data and/or the drainage characteristics meet the early warning condition; and sending out early warning information in response to the early warning condition being met.

The early warning condition may refer to a condition for judging whether to perform early warning. For example, the early warning condition may be that the actual drainage negative pressure value exceeds the negative pressure value range, the abnormal degree of the liquid color is larger than the preset degree, the content of the non-liquid substance is higher than the preset content, the characteristic value of the liquid fluidity after adjustment is larger than the preset value, and the like.

In some embodiments, the processor may compare the detection data and/or the drainage characteristics to corresponding pre-warning conditions, and determine whether the pre-warning conditions are met. And when the early warning condition is met, sending corresponding early warning information.

In some embodiments, the detection data may include an actual drainage negative pressure value, and the early warning device may determine whether the actual drainage negative pressure value satisfies a target object matching negative pressure value range.

The content of the negative pressure value range can be referred to in the relevant description of fig. 5.

The actual drainage negative pressure value is the negative pressure value of the flushing drainage device during actual flushing drainage.

In some embodiments, the early warning device may send early warning information when it is determined that the actual drainage negative pressure value does not meet the negative pressure value range matched with the target object.

According to some embodiments of the present specification, by judging whether the actual drainage negative pressure value meets the negative pressure value range, an early warning can be sent out in time when the negative pressure value is not matched with the target object, timely treatment is performed, and operation risk is reduced.

In some embodiments, the early warning device may perform early warning prompt by sending prompt contents in the form of text, sound, image, etc. For more information about the pre-warning information see fig. 3 and its associated description.

In some embodiments, the process 700 may be performed by a processor of the irrigation drainage device 100. As shown in fig. 7, the process 700 includes the steps of:

and 710, judging whether the abnormal degree of the liquid color and/or the content of the non-liquid substances meet the early warning threshold value, and sending out early warning of wound infection in response to the abnormal degree of the liquid color and/or the content of the non-liquid substances.

The early warning threshold may include a degree of abnormality of the liquid color being equal to or greater than a preset degree, a content of non-liquid substances being equal to or greater than a preset content, and the like.

In some embodiments, the processor may determine whether the liquid color anomaly level and/or the non-liquid substance content meets an early warning threshold. And responding to at least one of the detection signals meeting the early warning threshold value, and sending out early warning of wound infection.

In some embodiments, after the processor sends out the wound infection pre-warning, the doctor can be informed to analyze the liquid color and the non-liquid substance content to determine whether to continue drainage.

Step 720, determining whether to bleed based on the bleeding condition, and issuing a bleeding warning in response to the bleeding.

In some embodiments, the processor may determine whether the bleeding condition is bleeding based on the drainage characteristics, and in response to bleeding, issue a bleeding warning.

Step 730, determining whether the liquid fluidity characteristic value satisfies a first fluidity threshold value or more and a second fluidity threshold value or less.

In some embodiments, as shown in FIG. 7, the processor may issue a jam warning based on steps 732-734 when it is determined that the liquid flow characteristic value does not satisfy the first flow threshold value or more and the second flow threshold value or less.

Step 732, adjusting the initial irrigation and drainage parameters, and obtaining the adjusted liquid fluidity characteristic value corresponding to the adjusted irrigation and drainage parameters.

In some embodiments, the processor determines the adjusted flush drainage parameter based on the initial flush drainage parameter may be as described with respect to fig. 5.

In some embodiments, the processor may operate the irrigation drainage device based on the adjusted irrigation drainage parameters to obtain an adjusted drainage tube in vitro image; and determining the characteristic value of the liquid fluidity after adjustment based on the external image of the drainage tube after adjustment. The adjusted fluid mobility characteristic value may be determined based on the drainage characteristic model, see fig. 4 and its associated description.

And step 734, if the adjusted liquid fluidity characteristic value is smaller than the first fluidity threshold value, a blockage early warning is sent out.

In some embodiments, a jam warning may be issued when the processor determines that the adjusted liquid flow characteristic value is less than the first flow threshold.

According to some embodiments of the present disclosure, by judging whether at least one of the drainage features meets the early warning threshold, and sending corresponding early warning information when the drainage features do not meet the early warning threshold, pertinence of early warning can be improved, timely analysis of reasons for abnormality is facilitated, abnormality processing efficiency is improved, and flushing drainage effect is further improved.

It should be noted that the above description of the process 700 is for purposes of illustration and description only, and is not intended to limit the scope of applicability of the present disclosure. Various modifications and changes to flow 700 will be apparent to those skilled in the art in light of the present description. However, such modifications and variations are still within the scope of the present description. For example, the order of implementation of steps 710, 720 and 730 may be reversed.

According to some embodiments of the present disclosure, by judging whether the detection data and/or the drainage characteristic meet the early warning threshold, possible risks (e.g., blockage) in the flushing drainage process can be comprehensively and objectively found, risks brought to the patient by unsuitable negative pressure values are avoided, and flushing drainage efficiency and quality are improved.

Some embodiments of the present specification provide a flush drainage control system, the system comprising: the monitoring module is used for acquiring detection data and drainage tube in-vitro images; the adjusting module is used for adjusting flushing drainage parameters based on the drainage tube in-vitro image; the control module is used for controlling the operation of the flushing drainage device based on the adjusted flushing drainage parameters; the early warning module is used for sending early warning information based on detection data and/or drainage characteristics; the drainage characteristics are determined based on the drainage tube in vitro image.

Some embodiments of the present description provide a computer-readable storage medium storing computer instructions that, when read by a computer, perform the irrigation drainage control method described in some embodiments of the present description.

While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.

Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.

Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.

Likewise, it should be noted that in order to simplify the presentation disclosed in this specification and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are presented in the claims are required for the present description. Indeed, less than all of the features of a single embodiment disclosed above.

In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the number allows for a 20% variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations that may be employed in some embodiments to confirm the breadth of the range, in particular embodiments, the setting of such numerical values is as precise as possible.

Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., referred to in this specification is incorporated herein by reference in its entirety. Except for application history documents that are inconsistent or conflicting with the content of this specification, documents that are currently or later attached to this specification in which the broadest scope of the claims to this specification is limited are also. It is noted that, if the description, definition, and/or use of a term in an attached material in this specification does not conform to or conflict with what is described in this specification, the description, definition, and/or use of the term in this specification controls.

Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.

Claims

1. The flushing drainage device is characterized by comprising a drainage connecting pipe, a flushing connecting pipe, a drainage control valve, a flushing control valve, a fixing device, a monitoring device, an early warning device, a controller and a processor;

The drainage control valve comprises a drainage valve body, a drainage valve rod and a drainage control structure; the flushing control valve comprises a flushing valve body, a flushing valve rod and a flushing control structure;

the fixing device is used for fixing the drainage connecting pipe and the flushing connecting pipe on a target object;

the monitoring device is used for monitoring in real time to acquire detection data and/or drainage tube in-vitro images;

the early warning device is used for sending early warning information based on the detection data and/or the drainage characteristics; the drainage characteristics are determined based on the drainage tube in vitro image;

the controller is used for controlling the opening and closing of the drainage control valve and/or the flushing control valve and the opening amplitude;

the processor is configured to:

adjusting flushing drainage parameters based on the drainage tube in-vitro image; and

and controlling the operation of the flushing drainage device based on the flushing drainage parameters after adjustment.

2. The apparatus of claim 1, wherein the processor is further configured to:

acquiring initial flushing drainage parameters;

operating a flushing drainage device based on the initial flushing drainage parameters, and acquiring an external image of the drainage tube;

determining the drainage characteristics based on the drainage tube in vitro image;

Based on the drainage characteristics, the initial flush drainage parameters are adjusted.

3. The apparatus of claim 2, wherein the processor is further configured to:

determining whether the drainage characteristic meets a preset condition based on the bleeding condition, the abnormal degree of liquid color, the liquid fluidity characteristic value and the non-liquid substance content;

and adjusting the initial flushing drainage parameter in response to the preset condition not being met.

4. The apparatus of claim 1, wherein the pre-warning device is further configured to:

judging whether the detection data and/or the drainage characteristics meet the early warning condition or not;

and sending out the early warning information in response to the satisfaction of the early warning condition.

5. A method of flush drainage control, the method being performed based on the processor of the flush drainage device of claim 1, the method comprising:

acquiring detection data and drainage tube in-vitro images;

adjusting flushing drainage parameters based on the drainage tube in-vitro image;

controlling the operation of the flushing drainage device based on the adjusted flushing drainage parameters;

sending out early warning information based on the detection data and/or the drainage characteristics; the drainage characteristics are determined based on the drainage tube in vitro image.

6. The method of claim 5, wherein adjusting the irrigation drainage parameters based on the drainage tube in vitro image comprises:

acquiring initial flushing drainage parameters;

7. The method of claim 6, wherein the drainage characteristics include bleeding, degree of liquid color abnormality, liquid fluidity characteristic value, and non-liquid substance content; the adjusting the initial flush drainage parameter based on the drainage characteristics includes:

determining whether a drainage characteristic meets a preset condition based on the bleeding condition, the liquid color abnormality degree, the liquid fluidity characteristic value, and the non-liquid substance content;

8. The method of claim 5, wherein the issuing pre-warning information based on the detection data and/or drainage characteristics comprises:

9. An irrigation drainage control system, the system comprising:

the monitoring module is used for acquiring detection data and drainage tube in-vitro images;

the adjusting module is used for adjusting flushing drainage parameters based on the drainage tube in-vitro image;

the control module is used for controlling the operation of the flushing drainage device based on the adjusted flushing drainage parameters;

the early warning module is used for sending early warning information based on the detection data and/or the drainage characteristics; the drainage characteristics are determined based on the drainage tube in vitro image.

10. A computer readable storage medium storing computer instructions which, when read by a computer, perform the method of any one of claims 5-8.