Bladder irrigation fluid monitoring method and system for patient after prostatectomy

Abstract

The invention discloses a bladder irrigation fluid monitoring method and system for a patient after prostatectomy, and relates to the technical field of bladder irrigation fluid monitoring methods. According to the spatial positions of the multiple to-be-flushed features, the forms of the multiple to-be-flushed features and the spatial system of the resection area of the prostate, flushing paths of the multiple flushing areas are determined, and the multiple flushing areas are reasonably flushed so that targeted flushing can be conducted on the multiple flushing areas. Therefore, in the management and control of the plurality of flushing areas, the flushing logics of the plurality of flushing nodes are determined based on the flushing amount of the bladder flushing fluid in the plurality of flushing areas and the flushing path of the bladder flushing head, the plurality of flushing nodes are uniformly distributed in the flushing path of the bladder flushing head, and the dynamic monitoring logics of the corresponding bladder flushing fluid are matched. According to the invention, division of a plurality of irrigation nodes is realized, dynamic monitoring of the bladder irrigation fluid is carried out on the plurality of irrigation nodes, and the accuracy of monitoring of the bladder irrigation fluid of a patient after prostatectomy is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of bladder irrigation fluid monitoring methods, and in particular to a method and system for monitoring bladder irrigation fluid for patients after prostatectomy. Background Art

[0002] With the development of technology, prostatectomy is a surgery for prostate removal and controls abnormal prostates. After prostatectomy, patients need to irrigate the bladder during the postoperative period and use bladder irrigation fluid. In the prior art, nurses use an irrigation head to irrigate the resection area of the prostate and adopt a unified content of bladder irrigation fluid. However, there are multiple different irrigation areas in the resection area of the prostate, and the states of each irrigation area are different. It is impossible to achieve targeted irrigation of multiple irrigation areas, and thus it is impossible to control the dynamic monitoring of bladder irrigation fluid. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a method and system for monitoring bladder irrigation fluid for patients after prostatectomy.

[0004] An embodiment of the present invention provides a method for monitoring bladder irrigation fluid for patients after prostatectomy, including: Dividing the corresponding resection area of the prostate according to the prostatectomy image; Determining multiple to-be-irrigated features based on the feature recognition of the resection area of the prostate; Determining the irrigation paths of multiple irrigation areas according to the spatial positions of multiple to-be-irrigated features, the morphologies of multiple to-be-irrigated features, and the spatial system of the resection area of the prostate; In the control of multiple irrigation areas, determining the irrigation volumes of bladder irrigation fluid for multiple irrigation areas based on the feature types of multiple to-be-irrigated features, the resection coefficients of multiple to-be-irrigated features, and the irrigation area matching table; Determining the irrigation logics of multiple irrigation nodes based on the irrigation volumes of bladder irrigation fluid for multiple irrigation areas and the irrigation paths of the bladder irrigation head. Multiple irrigation nodes are all distributed on the irrigation paths of the bladder irrigation head and match the corresponding dynamic monitoring logics of bladder irrigation fluid.

[0005] An embodiment of the present invention provides a system for monitoring bladder irrigation fluid for patients after prostatectomy. The system for monitoring bladder irrigation fluid for patients after prostatectomy is applied to the above method for monitoring bladder irrigation fluid for patients after prostatectomy. The system for monitoring bladder irrigation fluid for patients after prostatectomy includes: A resection area module, configured to divide the corresponding resection area of the prostate according to the prostatectomy image; A to-be-flushed feature module for determining a plurality of to-be-flushed features based on the feature recognition of the resection area of the prostate; A flushing path module for determining the flushing paths of a plurality of flushing areas according to the spatial positions of the plurality of to-be-flushed features, the morphologies of the plurality of to-be-flushed features, and the spatial system of the resection area of the prostate; A flushing volume module for determining the flushing volumes of the bladder flushing fluids in the plurality of flushing areas during the control of the plurality of flushing areas based on the feature types of the plurality of to-be-flushed features, the resection coefficients of the plurality of to-be-flushed features, and a flushing area matching table; A dynamic monitoring module for determining the flushing logics of a plurality of flushing nodes based on the flushing volumes of the bladder flushing fluids in the plurality of flushing areas and the flushing paths of the bladder flushing head. The plurality of flushing nodes are all distributed on the flushing path of the bladder flushing head and match the corresponding dynamic monitoring logics of the bladder flushing fluids.

[0006] Compared with the prior art, the beneficial effects of the present invention are: In the embodiments of the present invention, by the method in the embodiments of the present invention, the corresponding resection area of the prostate is divided according to the prostate resection image; a plurality of to-be-flushed features are determined based on the feature recognition of the resection area of the prostate; the flushing paths of the plurality of flushing areas are determined according to the spatial positions of the plurality of to-be-flushed features, the morphologies of the plurality of to-be-flushed features, and the spatial system of the resection area of the prostate. The flushing paths of the plurality of flushing areas are introduced to flush the plurality of flushing areas reasonably, so as to perform targeted flushing on the plurality of flushing areas.

[0007] Therefore, during the control of the plurality of flushing areas, the flushing volumes of the bladder flushing fluids in the plurality of flushing areas are determined based on the feature types of the plurality of to-be-flushed features, the resection coefficients of the plurality of to-be-flushed features, and a flushing area matching table; the flushing logics of the plurality of flushing nodes are determined based on the flushing volumes of the bladder flushing fluids in the plurality of flushing areas and the flushing paths of the bladder flushing head. The plurality of flushing nodes are all distributed on the flushing path of the bladder flushing head and match the corresponding dynamic monitoring logics of the bladder flushing fluids, realizing the division of the plurality of flushing nodes and performing dynamic monitoring of the bladder flushing fluids for the plurality of flushing nodes, ensuring the accuracy of the bladder flushing fluid monitoring for the patients after prostate resection. Description of the Drawings

[0008] Figure 1 is a schematic flowchart of the method for monitoring the bladder flushing fluid of a patient after prostate resection in the embodiments of the present invention; Figure 2 is a schematic flowchart of step S11 in the method for monitoring the bladder flushing fluid of a patient after prostate resection in the embodiments of the present invention; Figure 3 is a schematic flowchart of step S12 in the method for monitoring the bladder flushing fluid of a patient after prostate resection in the embodiments of the present invention; Figure 4 It is a schematic flowchart of step S13 in the method for monitoring the bladder irrigation fluid of a patient after prostatectomy in an embodiment of the present invention; Figure 5 It is a schematic flowchart of step S14 in the method for monitoring the bladder irrigation fluid of a patient after prostatectomy in an embodiment of the present invention; Figure 6 It is a schematic flowchart of step S15 in the method for monitoring the bladder irrigation fluid of a patient after prostatectomy in an embodiment of the present invention; Figure 7 It is a schematic diagram of the structural composition of the system for monitoring the bladder irrigation fluid of a patient after prostatectomy in an embodiment of the present invention. Detailed implementation manners

[0009] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention.

[0010] Please refer to Figures 1 to 7 , a method for monitoring the bladder irrigation fluid of a patient after prostatectomy, which is applied to the monitoring scenario of the bladder irrigation fluid of a patient after prostatectomy; the method for monitoring the bladder irrigation fluid of a patient after prostatectomy includes: Step S11: Divide the corresponding resection area of the prostate according to the prostatectomy image; Step S12: Determine multiple features to be irrigated based on the feature recognition of the resection area of the prostate; Step S13: Determine the irrigation paths of multiple irrigation areas according to the spatial positions of multiple features to be irrigated, the morphologies of multiple features to be irrigated, and the spatial system of the resection area of the prostate; Step S14: In the control of multiple irrigation areas, determine the irrigation volumes of the bladder irrigation fluid in multiple irrigation areas based on the feature types of multiple features to be irrigated, the resection coefficients of multiple features to be irrigated, and the irrigation area matching table; Step S15: Determine the irrigation logics of multiple irrigation nodes based on the irrigation volumes of the bladder irrigation fluid in multiple irrigation areas and the irrigation paths of the bladder irrigation head. Multiple irrigation nodes are all distributed on the irrigation paths of the bladder irrigation head and match the corresponding dynamic monitoring logics of the bladder irrigation fluid; Refer to Figure 2 , in step S11, divide the corresponding resection area of the prostate according to the prostatectomy image; In the specific implementation process of the present invention, the specific steps are as follows: S111: During the prostatectomy of the patient, the detection head performs on-line detection on the prostate and outputs the corresponding prostatectomy image, and the prostatectomy image is stored in the corresponding cloud database; S112: Present the corresponding dividing line contour according to the image preprocessing of the prostatectomy image, determine multiple primary regions according to the location of each dividing line contour and the line connection relationship of the dividing line contours, and generate the corresponding resection region of the prostate through the further synthesis of the multiple primary regions and the resection marks marked on the prostatectomy image.

[0011] In an embodiment of the present application, during the prostatectomy of a patient, a probe performs on-line detection of the prostate and outputs the corresponding prostatectomy image, which is stored in the corresponding cloud database, ensuring the accuracy of the prostatectomy image.

[0012] At this time, during the prostatectomy of a patient, the patient has been properly placed in the recovery room or ward, and is ready for subsequent monitoring of bladder irrigation fluid. A specially designed probe is used to obtain the prostatectomy image. Before use, the probe needs to be calibrated to ensure image quality and accuracy.

[0013] The doctor places the probe on the lower abdomen of the patient to perform on-line detection of the prostate; the probe will capture the images of the prostate and its surrounding tissues in real time to form the prostatectomy image, which is stored in the corresponding cloud database, ensuring the accuracy of the prostatectomy image.

[0014] Specifically, during the prostatectomy of a patient, the doctor first prepares a calibrated ultrasonic probe and places it on the lower abdomen of the patient for on-line detection; the probe captures the ultrasonic images of the prostate and its surrounding tissues in real time and determines the prostatectomy image. After preliminary processing by the image processing system, the prostatectomy image is output as a high-definition digital image; the prostatectomy image is automatically uploaded to the hospital's cloud database for storage and backup.

[0015] Therefore, present the corresponding dividing line contour according to the image preprocessing of the prostatectomy image, determine multiple primary regions according to the location of each dividing line contour and the line connection relationship of the dividing line contours, and generate the corresponding resection region of the prostate through the further synthesis of the multiple primary regions and the resection marks marked on the prostatectomy image, taking into account the overall consideration of the location of each dividing line contour and the line connection relationship, and ensuring the accuracy of the multiple primary regions.

[0016] At this time, the prostatectomy image is introduced, and image preprocessing is performed on the prostatectomy image. The edge detection method is used to identify the dividing line contour of the prostatectomy image, and the dividing line contour represents the edge of the prostate, surrounding tissues or resection marks. Optionally, the image preprocessing involves reducing the noise of the filtering technology and enhancing the contrast of the image to facilitate the identification of the dividing line contour of the prostatectomy image by analyzing the gray-scale changes of the image pixels.

[0017] According to the locations of the identified boundary contours and the line connection relationships between them, the prostatectomy image is divided into multiple primary regions, and these primary regions represent different parts of the prostate, surrounding tissue regions, or potential resection regions. Optionally, in the prostatectomy image of a patient, a doctor uses a contour tracking algorithm to connect the identified boundary contours to form multiple closed contour regions, and then uses a region filling algorithm to fill the regions inside these contours, thereby determining multiple primary regions.

[0018] Combined with multiple primary regions and the resection marks marked on the prostatectomy image, the corresponding prostatectomy region is further synthesized and generated. At this time, the resection marks recorded during the operation are checked and registered with the preprocessed image; then, the graph cut algorithm is used to combine the information of the primary regions and the resection marks, and the prostatectomy region is accurately divided. This resection region clearly shows the part of the prostate that was resected during the operation.

[0019] Specifically, when processing the prostatectomy image of a patient, a doctor first performs image preprocessing, including steps such as denoising and enhancing contrast; then, uses an edge detection algorithm to identify the boundary contours in the image; then, according to the locations and line connection relationships of these contours, divides the image into multiple primary regions; finally, combines the resection marks recorded during the operation and an image segmentation algorithm to accurately divide the prostatectomy region. This resection region provides important information about the surgical effect and resection range for the doctor, which helps with subsequent bladder irrigation fluid monitoring and complication prevention work.

[0020] In an embodiment of the present application, patient name: Patient; Image preprocessing result: Successfully identified boundary contours; Determination of primary regions: Upper part of the prostate (oval, location: upper part, connection relationship: closed connection); Middle part of the prostate (irregular shape, location: middle part, connection relationship: branched connection); Lower part of the prostate and surrounding tissues (triangle, location: lower part, connection relationship: open connection).

[0021] Weight assignment: Upper part: 0.3, Middle part: 0.5, Lower part and surrounding tissues: 0.2; Score evaluation: Upper part: 80, Middle part: 90, Lower part and surrounding tissues: 70; Contribution calculation: Upper part: 24, Middle part: 45, Lower part and surrounding tissues: 14; Final resection region: Mainly located in the middle and upper parts of the prostate, and the resection range of the lower part and surrounding tissues is relatively small.

[0022] Reference Figure 3, in step S12, multiple flushing features to be flushed are determined based on the feature recognition of the resection area of the prostate; In the specific implementation process of the present invention, the specific steps are as follows: S121: Determine the state parameters of the resection area according to the shape of the resection area of the prostate and the area of the resection area of the prostate, and match the corresponding feature recognition learning model according to the state parameters of the resection area and the surgical record of the patient after prostate resection. This feature recognition learning model is the feature recognition learning model preset in the hospital database; S122: Input the resection area of the prostate into the preset feature recognition learning model, and output multiple flushing features to be flushed based on the recognition of the resection area of the prostate by the preset feature recognition learning model; In the embodiment of the present application, the state parameters of the resection area are determined according to the shape of the resection area of the prostate and the area of the resection area of the prostate, and the corresponding feature recognition learning model is matched according to the state parameters of the resection area and the surgical record of the patient after prostate resection. This feature recognition learning model is the feature recognition learning model preset in the hospital database, which takes into account the overall consideration of the shape of the resection area of the prostate and the area of the resection area of the prostate, and ensures the accuracy of the state parameters of the resection area.

[0023] At this time, it is necessary to conduct a detailed analysis of the shape of the resection area of the prostate and the area of the resection area of the prostate; the shape of the resection area of the prostate involves features such as shape (such as oval, irregular, etc.), edge smoothness, and whether there are unevennesses; the area of the resection area of the prostate refers to the actual size of the resection area, usually in square millimeters or square centimeters. Optionally, in the prostate resection image of the patient, the doctor uses image processing software to extract the contour of the resection area and measure its area; in terms of shape, the resection area presents a relatively regular oval shape, with a smooth edge and no unevenness; the area is about 30 square centimeters.

[0024] Based on the analysis of the shape and area of the resection area, determine the state parameters of the resection area; the state parameters of the resection area include shape type (such as regular, irregular), area size range (such as small, medium, large), etc.

[0025] After determining the status parameters of the resection area, a feature recognition learning model that matches them is searched for in the hospital database. These feature recognition learning models are usually trained based on a large number of surgical records and resection area image data and can identify features associated with specific status parameters. Optionally, the doctor inputs the status parameters of the patient's resection area into the query system of the hospital database, and the system returns a feature recognition learning model that matches a regular ellipse and a medium area range; this feature recognition learning model has successfully identified resection areas with similar features many times in the past and provided accurate flushing guidance.

[0026] Specifically, when processing the prostate resection image of a patient, the doctor first analyzed the shape and area of the resection area in detail; in terms of shape, the resection area presented a regular ellipse with a smooth edge; the area was about 30 square centimeters, belonging to the medium size range; based on these features, the doctor determined the status parameters for the patient's resection area: the shape type was a regular ellipse, and the area size range was medium; then, the doctor used the query system of the hospital database to find a feature recognition learning model that matched these status parameters; this model had been successfully applied to resection areas with similar features many times in the past and provided precise flushing guidance; therefore, the doctor decided to use this model for further analysis and flushing guidance of the patient's resection area.

[0027] Furthermore, the resection area of the prostate is input into a preset feature recognition learning model, and multiple features to be flushed are output based on the recognition of the resection area of the prostate by the preset feature recognition learning model.

[0028] At this time, the image or relevant data of the prostate resection area is prepared properly for input into the preset feature recognition learning model. This data may include the contour, area, grayscale value, texture features, etc. of the resection area. Optionally, when processing the prostate resection image of a patient, the doctor first preprocessed the image using image processing software, including denoising and enhancing the contrast; then, the doctor extracted features such as the contour, area, and grayscale value of the resection area and prepared them as input data.

[0029] The prepared resection area data is input into the preset feature recognition learning model, which is pre-trained in the hospital database, can identify different features of the resection area, and output guidance information related to flushing; at the same time, the input data may be provided to the preset feature recognition learning model in a specific format (such as an image file, a CSV file, etc.); the preset feature recognition learning model uses complex algorithms and training data internally to analyze the input data and extract useful feature information.

[0030] Based on the input data and internal methods, the feature recognition learning model performs in-depth recognition and analysis on the prostate resection area; then, the feature recognition learning model outputs multiple flushing-related features, which may include the boundary clarity of the resection area, the presence of residues, the presence of bleeding points, the uniformity of texture, etc.; optionally, through the in-depth recognition and analysis of the model, the following flushing features are identified in the patient's prostate resection area: relatively high boundary clarity, no residues, but there is a small bleeding point, and the texture is relatively uniform; the model also gives flushing guidance suggestions based on these features, such as focusing on flushing the bleeding point area and paying attention to keeping the pressure and flow rate of the flushing fluid moderate.

[0031] Specifically, when processing the patient's prostate resection image, the doctor first prepared the image data of the resection area, including features such as contour, area, and grayscale value; then, the doctor input these data into a preset feature recognition learning model; the feature recognition learning model performed in-depth recognition and analysis on the resection area and output multiple flushing-related features, including boundary clarity, residue condition, bleeding points, and texture uniformity; based on these features, the feature recognition learning model also gave detailed flushing guidance suggestions; the doctor formulated a flushing plan for the patient according to these suggestions and successfully performed postoperative bladder flushing; through this process, the doctor can more accurately identify the key features of the resection area and formulate a more effective flushing plan, thereby improving the surgical effect and the quality of the patient's postoperative recovery.

[0032] In the embodiments of the present application, the flushing feature matching table is shown in Table 1: Table 1 Flushing Feature Matching Table

[0033] For the patient's prostate resection area, the feature recognition learning model identifies its features as "clear boundary, no residues, but there is a small bleeding point"; according to the flushing feature matching table, the model outputs the following flushing features: most areas do not require special flushing because the boundary is clear and there are no residues; pay attention to hemostasis during flushing because there is a small bleeding point.

[0034] Reference Figure 4 , in step S13, according to the spatial positions of multiple flushing-related features, the morphologies of multiple flushing-related features, and the spatial system of the prostate resection area, determine the flushing paths of multiple flushing areas; In the specific implementation process of the present invention, the specific steps are as follows: S131: Construct a corresponding spatial system based on the prostate resection area. In the spatial system of the prostate resection area, determine the spatial positions of multiple flushing-related features according to the markings of multiple flushing-related features and the spatial system of the prostate resection area; S132: Determine the morphologies of multiple features to be flushed according to the recognition of the outer contours of the multiple features to be flushed, determine multiple sub-paths according to the spatial positions of the multiple features to be flushed, the morphologies of the multiple features to be flushed, and the path mapping relationships in the path matching table, and determine the flushing paths of multiple flushing areas according to the gradual connection of the multiple sub-paths.

[0035] In the embodiments of the present application, a corresponding spatial system is constructed based on the resection area of the prostate. In the spatial system of the resection area of the prostate, the spatial positions of multiple features to be flushed are determined according to the markings of the multiple features to be flushed and the spatial system of the resection area of the prostate, which incorporates the overall consideration of the markings of the multiple features to be flushed and the spatial system of the resection area of the prostate, ensuring the accuracy of the spatial positions of the multiple features to be flushed.

[0036] At this time, based on the image or data of the prostate resection area, a spatial system of the prostate resection area that accurately reflects its shape, size, and internal structure is constructed; the spatial system of the prostate resection area can be a two-dimensional plane graph or a three-dimensional solid model. Optionally, image processing software is used to preprocess the prostate resection image, and based on the contour and gray value information in the prostate resection image, a spatial system of the patient's prostate resection area is constructed.

[0037] After constructing the spatial system of the prostate resection area, it is necessary to mark the features to be flushed in the spatial system according to the features to be flushed identified in the previous steps (such as S122). These markings may exist in the form of points, lines, surfaces, etc., and are used to represent the specific positions of the features to be flushed. The contour extraction method is used to identify the boundaries of features such as bleeding points and residues and mark them in the spatial system.

[0038] After marking the features to be flushed, according to the spatial system of the prostate resection area, the spatial positions of the features to be flushed are determined, which involves calculating information such as the coordinates and directions of the features in the spatial system. Optionally, the spatial system of the prostate resection area is used to represent each point in the prostate resection area, and the spatial positions of the features to be flushed are determined by calculating the distances and directions between the features to be flushed and the coordinate origin or reference point. Optionally, a coordinate measurement tool is used to calculate the specific coordinates and directions of the bleeding points and residue areas in the spatial system, and this information is used for subsequent sub-path planning and flushing path determination.

[0039] Specifically, when processing the prostatectomy image of a patient, the doctor first used image processing software and a three-dimensional reconstruction algorithm to construct a three-dimensional solid model of the prostatectomy area; then, the doctor marked the model according to the previously identified features to be flushed (such as bleeding points, residue areas); finally, the doctor used a coordinate measurement tool to calculate the specific coordinates and directions of these features in the spatial system; through these steps, the doctor could accurately determine the spatial positions of the features to be flushed in the prostatectomy area, providing a basis for subsequent sub-path planning and determination of the flushing path.

[0040] Furthermore, the morphologies of multiple features to be flushed are determined based on the recognition of the outer contours of the multiple features to be flushed, and multiple sub-paths are determined according to the spatial positions of the multiple features to be flushed, the morphologies of the multiple features to be flushed, and the path mapping relationships in the path matching table. The flushing path of multiple flushing areas is determined based on the gradual connection of the multiple sub-paths. The flushing path of multiple flushing areas is introduced to reasonably flush the multiple flushing areas, so as to facilitate targeted flushing of the multiple flushing areas.

[0041] At this time, the outer contours of each feature to be flushed are recognized, and the morphologies of the multiple features to be flushed are determined according to features such as the shape and size of the contours; the recognition of the morphologies of the multiple features to be flushed is the basis for subsequent path planning, because different morphologies may require different flushing strategies and paths. Optionally, the boundaries of the features to be flushed are extracted from the prostatectomy image, and their morphologies are determined accordingly.

[0042] After determining the morphologies of the features to be flushed, the sub-paths required to flush these features are determined in combination with their positions in space and a preset path matching table; the path matching table is a database or lookup table that provides recommended flushing paths or path segments according to the morphologies and spatial positions of the features; the path matching table contains the mapping relationships between different morphological features and flushing paths; when determining the sub-paths, it is necessary to look up the corresponding paths or path segments in the path matching table according to the morphologies and spatial positions of the features, and make appropriate adjustments to adapt to the actual situation.

[0043] The doctor looked up the corresponding flushing paths in the path matching table according to the circular morphology of the bleeding points, the irregular shape of the residues, and the dot-like morphology of the calcification points; for the circular bleeding points, the doctor selected a path that flushes gradually from the edge to the center; for the residues with irregular shapes, the doctor selected a path that flushes around the edge of the residues and paid special attention to the protruding parts inside the residues; for the dot-like calcification points, the doctor selected a flushing path that directly points to the calcification points.

[0044] Furthermore, after determining the sub-paths of all features to be flushed, these sub-paths are connected to form a complete flushing path. When connecting the sub-paths, the continuity of the path, flushing efficiency, and possible flushing conflicts need to be considered. Optionally, connecting the sub-paths may involve a path planning method, which helps to find the optimal path for connecting all sub-paths. At the same time, the limitations of the flushing device and the safety of the operation also need to be considered.

[0045] Optionally, the flushing paths of the bleeding points, residues, and calcification points are connected to form a complete flushing path. During the connection process, special attention is paid to the continuity of the path and flushing efficiency to ensure the smooth progress of the flushing process.

[0046] Specifically, when processing the prostatectomy data of a patient, the doctor first identified the outer contours of the bleeding points, residues, and calcification points, and determined their shapes based on the contours. Then, the doctor determined the corresponding sub-paths according to the shapes, spatial positions, and path matching table of these features. Finally, the doctor connected these sub-paths to form a complete flushing path. Through this path, the doctor can accurately flush away the bleeding points, residues, and calcification points in the prostatectomy area, thereby improving the surgical effect and the postoperative recovery quality of the patient.

[0047] In an embodiment of the present application, the path matching table is shown in Table 2: Table 2 Path Matching Table For the prostatectomy area of the patient, the identified features to be flushed include a circular bleeding point, an irregular residue, and a punctate calcification point. According to the path matching table, the determined sub-paths are as follows: Circular bleeding point: A path that flushes gradually from the edge to the center; Irregular residue: A path that flushes around the edge of the residue, paying special attention to the protruding parts inside the residue; Punctate calcification point: A path that flushes directly towards the calcification point. Connecting these sub-paths, the formed flushing path is as follows: Starting from the edge of the circular bleeding point, flushing gradually towards the center; Flushing around the edge of the irregular residue, paying special attention to the protruding parts; Flushing the punctate calcification point directly.

[0048] Reference Figure 5 In step S14, in the control of multiple flushing areas, based on the feature types of multiple features to be flushed, the resection coefficients of multiple features to be flushed, and the flushing area matching table, the flushing volumes of the bladder flushing fluid for multiple flushing areas are determined. In the specific implementation process of the present invention, the specific steps are as follows: S141: Control multiple flushing areas. At this time, determine the feature types of multiple features to be flushed based on the detection of multiple features to be flushed; determine the damage parameters of multiple features to be flushed according to the mapping relationship between the feature types of multiple features to be flushed and the damage matching table. S142: Collect the resection records of multiple features to be flushed during the operation, and determine the resection coefficients of multiple features to be flushed based on the resection records, the morphologies of multiple features to be flushed, and the resection matching table. Determine the flushing volume of the bladder flushing fluid in multiple flushing areas based on the resection coefficients of multiple features to be flushed, the damage parameters of multiple features to be flushed, and the flushing area matching table.

[0049] In the embodiments of the present application, when controlling multiple flushing areas, determine the feature types of multiple features to be flushed based on the detection of multiple features to be flushed; determine the damage parameters of multiple features to be flushed according to the mapping relationship between the feature types of multiple features to be flushed and the damage matching table, taking into account the overall mapping relationship between the feature types of multiple features to be flushed and the damage matching table, and ensuring the accuracy of the damage parameters of multiple features to be flushed.

[0050] At this time, control multiple flushing areas and first identify the features to be flushed in each flushing area, which usually involves detailed image analysis of the surgical area to determine the feature types of the features to be flushed, such as bleeding points, residual tissues, calcification foci, etc. Optionally, carefully observe the resection area of the prostate through a surgical microscope and conduct in-depth analysis of the image in combination with image processing software; in multiple flushing areas, identify multiple features to be flushed, including bleeding points, residual prostate tissues, and some tiny calcification foci.

[0051] After determining the feature types of the features to be flushed, further evaluate the damage degree of the features to be flushed, which usually involves determining the damage parameters of each feature according to the feature type and a preset damage matching table; the damage parameters include the size, depth, and degree of influence on surrounding tissues of the feature.

[0052] The damage matching table is a database or lookup table that stores the mapping relationship between different feature types and damage parameters; when determining the damage parameters, search for the information matching the feature to be flushed in the damage matching table and perform necessary calculations or adjustments. These parameters are crucial for subsequent determination of flushing strategies, types of flushing fluids, flushing volumes, etc.

[0053] Optionally, after identifying bleeding points, residual tissues, and calcification foci, the damage parameters of these features are determined according to the damage matching table; the bleeding points are evaluated as small but with moderate depth and have a certain impact on the surrounding tissues; the residual tissues are evaluated as having a large area but shallow depth; the calcification foci are evaluated as tiny and have a limited impact on the surrounding tissues; based on these parameters, the doctor can formulate a flushing strategy more accurately to ensure the safety and effectiveness of the flushing process.

[0054] Specifically, when dealing with the prostatectomy data of a patient, the doctor first identified the features to be flushed in multiple flushing areas, including bleeding points, residual tissues, and calcification foci, through careful observation and image analysis; then, the doctor determined their damage parameters according to the types of these features and a preset damage matching table, and these parameters provided important information about the damage degree of each feature, helping the doctor formulate a more precise flushing strategy to ensure the safety and effectiveness of the flushing process; in this way, the doctor can better control the flushing area, reduce surgical risks, and improve the quality of the patient's postoperative recovery. The flushing strategy covers the flushing strategy for bleeding points and the flushing strategy for residual tissues; for the flushing strategy for bleeding points, the doctor may choose a flushing solution with a slight hemostatic effect, such as a solution containing adrenaline or thrombin, to help control bleeding; since the bleeding points are small but with moderate depth, the doctor may adopt a moderate flushing pressure and flow rate to ensure that the flushing solution can penetrate around the bleeding points while avoiding excessive pressure damage to the surrounding tissues; considering that the bleeding points may require more delicate treatment, the doctor may adopt a pulsed flushing method, using short-term, high-intensity flushing pulses to remove blood while reducing the continuous stimulation of the surrounding tissues; during the flushing process, the doctor will closely monitor the changes in the bleeding points to ensure that the flushing solution can effectively remove the blood and be ready to adjust the flushing strategy at any time to deal with any unexpected situations; For the flushing strategy for residual tissues, for residual tissues, the doctor may choose normal saline or balanced salt solution with good cleaning ability for flushing; since the residual tissues have a large area but shallow depth, the doctor may adopt a higher flushing flow rate and moderate pressure to ensure that the flushing solution can cover the entire residual tissue area and effectively remove it; continuous flushing may be more suitable for dealing with large-area residual tissues to ensure that the flushing solution can act on the target area continuously and evenly; during the flushing process, the doctor will regularly check the removal situation of the residual tissues and adjust the flushing strategy if necessary; after the flushing is completed, the doctor may also need to further clean or excise the residual tissues; For the irrigation strategy of calcified lesions, since their impact on surrounding tissues is limited and minimal, doctors may choose standard saline for irrigation; considering the tiny size of calcified lesions, doctors may use lower irrigation pressure and flow rate to avoid unnecessary damage to surrounding tissues; pulsed irrigation or intermittent irrigation may be more suitable for dealing with calcified lesions because they can more effectively remove tiny calcified particles without damaging surrounding tissues; during the irrigation process, doctors will closely monitor the removal of calcified lesions and ensure that the irrigation fluid does not accumulate in the surgical area to form eddies, thereby increasing the surgical risk.

[0055] Furthermore, collect the resection records of multiple features to be irrigated during the operation, and determine the resection coefficients of multiple features to be irrigated based on the resection records, the morphologies of multiple features to be irrigated, and the resection matching table. Based on the resection coefficients of multiple features to be irrigated, the damaged parameters of multiple features to be irrigated, and the irrigation area matching table, determine the irrigation volumes of the bladder irrigation fluid for multiple irrigation areas, taking into account the overall consideration of the resection coefficients of multiple features to be irrigated, the damaged parameters of multiple features to be irrigated, and the irrigation area matching table, ensuring the accuracy of the irrigation volumes of the bladder irrigation fluid for multiple irrigation areas.

[0056] At this time, collect the resection records of multiple features to be irrigated during the operation, introduce the resection records, the morphologies of multiple features to be irrigated, and the resection matching table, and determine the resection coefficient of each feature to be irrigated according to these records, the morphology of the feature to be irrigated, and a preset resection matching table; the resection coefficient is an index reflecting the difficulty and thoroughness of the resection process.

[0057] The resection matching table is a database or lookup table that provides recommended values for resection coefficients based on information such as resection records and feature morphologies; when determining the resection coefficient, look up the information matching the feature to be irrigated in the resection matching table and perform necessary calculations or adjustments. Optionally, based on the records of the surgical monitoring system, the morphology of the tumor (such as size, shape, invasion depth, etc.), and the resection matching table, determine the resection coefficient of the tumor; since the tumor is large and has a deep invasion, the resection process is relatively difficult, so the resection coefficient is set to a higher value.

[0058] After determining the resection coefficient and the damaged parameters, determine the irrigation volumes of the bladder irrigation fluid for multiple irrigation areas according to these parameters and a preset irrigation area matching table; the determination of the irrigation volume needs to comprehensively consider factors such as the difficulty of the resection process, the degree of damage, and the size of the irrigation area.

[0059] The flushing area matching table is a database or lookup table that provides recommended flushing volumes based on information such as resection coefficients, damage parameters, and the size of the flushing area; when determining the flushing volume, look up the information that matches the area to be flushed in the flushing area matching table and perform necessary calculations or adjustments.

[0060] Optionally, according to the resection coefficient, the damaged parameters of the tumor (such as bleeding after resection, whether there is residue, etc.), and the size of the flushing area (such as the size of the entire bladder cavity), look up the corresponding recommended flushing volume in the flushing area matching table; since the resection process is relatively difficult and the degree of tumor damage is high, the flushing volume is set to a larger value to ensure the thoroughness and safety of flushing.

[0061] In an embodiment of the present application, the resection matching table is shown in Table III: Table III Resection Matching Table The flushing area matching table is shown in Table IV: Table IV Flushing Area Matching Table Suppose in a patient's bladder tumor resection surgery, two flushing features are identified: one is a circular bleeding point with a diameter less than 1 cm, resected by electroresection without residue; the other is an irregular residue with an area greater than 3 cm², resected by laser resection with a small amount of residue; For the circular bleeding point, according to the resection matching table, its resection coefficient is 0.5; for the irregular residue, its resection coefficient is 1.2.

[0062] Suppose the damaged parameter levels are all medium (evaluated according to the bleeding situation and the size of the residue), and the flushing area sizes are small (for the bleeding point) and medium (for the residue); according to the flushing area matching table, for the feature with a resection coefficient of 0.5, a damaged parameter level of medium, and a small flushing area, the recommended flushing volume is 50 mL; for the feature with a resection coefficient of 1.2, a damaged parameter level of medium, and a medium flushing area, the recommended flushing volume is 100 mL; therefore, the flushing volume of the patient's bladder flushing fluid is determined as: 50 mL for the bleeding point area and 100 mL for the residue area.

[0063] Reference Figure 6 , in step S15, determine the flushing logic of multiple flushing nodes based on the flushing volumes of the bladder flushing fluid in multiple flushing areas and the flushing path of the bladder flushing head. Multiple flushing nodes are all distributed on the flushing path of the bladder flushing head and match the corresponding dynamic monitoring logic of the bladder flushing fluid; In the specific implementation process of the present invention, the specific steps are as follows: S151: determining a plurality of flushing nodes according to the flushing path of the bladder flushing head and the spatial positions of the plurality of flushing areas, the plurality of flushing nodes being one of the positions of the flushing path of the bladder flushing head; S152: determining flushing logics of multiple flushing nodes based on the flushing volumes of the bladder flushing fluid of the multiple flushing areas and the corresponding flushing nodes, wherein the flushing logics of the multiple flushing nodes cover the flushing volumes of the bladder flushing fluid configured for the multiple flushing nodes; S153: If the current position of the bladder flushing head is at the flushing node, the bladder flushing head is triggered to perform fixed-point flushing of the flushing area based on the flushing volume of the corresponding bladder flushing fluid, the dynamic flushing process of the bladder flushing head is monitored in real time, and the flushing volume of the bladder flushing fluid is step-controlled to construct a dynamic monitoring logic for the bladder flushing fluid.

[0064] In an embodiment of the present application, multiple flushing nodes are determined according to the flushing path of the bladder flushing head and the spatial positions of multiple flushing areas. The multiple flushing nodes serve as one of the positions of the flushing path of the bladder flushing head, which is compatible with the overall consideration of the flushing path of the bladder flushing head and the spatial positions of multiple flushing areas, thereby ensuring the accuracy of the multiple flushing nodes.

[0065] At this point, the flushing path of the bladder irrigation head is planned based on the preoperative imaging data (such as CT, MRI scan results) and the surgical plan. This path should be able to cover all areas that need to be flushed while avoiding unnecessary damage to the bladder wall or other important structures.

[0066] The spatial positions of multiple flushing areas in the bladder are determined through the surgical navigation system or the doctor's visual judgment. Multiple flushing areas may include diseased tissue, bleeding points, residues, and other areas that require focused flushing. The flushing path and the spatial position of the flushing area are compared and analyzed to find the intersection or proximity points between the flushing path and the flushing area. These points will be potential flushing nodes, that is, the positions where the bladder flushing head needs to stay and perform flushing operations during the flushing process.

[0067] According to the analysis of the relationship between the irrigation path and the irrigation area, combined with the specific needs of the operation and the performance of the irrigation head, the final irrigation nodes are determined. These irrigation nodes should ensure that the irrigation head can stay in each area that needs to be irrigated and perform effective irrigation operations. Optionally, combined with the specific needs of the operation and the performance of the irrigation head (such as the diameter of the irrigation head, irrigation pressure, etc.), the doctor determines three irrigation nodes: one in the main gathering area of ​​the stone, one in the edge area where stone fragments may be scattered, and one near the possible bleeding point. These irrigation nodes can ensure that the irrigation head can stay in each area that needs to be irrigated and perform effective irrigation operations.

[0068] Furthermore, based on the flushing volumes of the bladder flushing fluid in multiple flushing regions and the corresponding flushing nodes, the flushing logic of multiple flushing nodes is determined. The flushing logic of multiple flushing nodes covers the flushing volumes of the bladder flushing fluid configured for multiple flushing nodes, taking into account the overall consideration of the flushing volumes of the bladder flushing fluid in multiple flushing regions and the corresponding flushing nodes, ensuring the accuracy of the flushing logic of multiple flushing nodes.

[0069] At this time, specific information about each flushing region is collected, including but not limited to the size, shape, location of the region, and its relative relationship with surrounding tissues. This information will be used to evaluate the flushing requirements; based on the information of the flushing region, combined with the pre-operative plan and the real-time situation during the operation, an appropriate flushing volume is determined for each flushing region; the flushing volume usually depends on factors such as the degree of damage to the region, the expected flushing effect, and the nature of the flushing fluid. Optionally, based on the information of the flushing region, the doctor determines an appropriate flushing volume for each region; since there may be tiny tumor fragments remaining in the tumor bed, the flushing volume of this region is set to a larger value to ensure thorough flushing; and the possible residue location is used to determine the flushing volume according to the size and quantity of the residues.

[0070] Each flushing node is associated with its corresponding flushing region and the flushing volume of that region, which means that when each flushing node performs the flushing operation, it will be carried out according to the preset flushing volume; according to the location of the flushing node, the flushing volume, and the specific requirements of the operation, a detailed flushing logic is formulated for each flushing node, which includes parameters such as the flushing sequence, the flushing time of each node, the flushing pressure, and the flow rate of the flushing fluid; the formulation of the flushing logic should ensure that the flushing process is both efficient and safe.

[0071] Optionally, the doctor determines three flushing nodes on the flushing path: one in the central region of the tumor bed, one in the marginal region of the tumor bed, and one at the possible residue location; each node is associated with its corresponding flushing region and flushing volume; the doctor formulates a detailed flushing logic for each flushing node; first, the flushing head will stay at the central node of the tumor bed and perform flushing with a larger flushing volume; then, it will move to the marginal node and perform supplementary flushing with a smaller flushing volume; finally, it will move to the node at the possible residue location and adjust the flushing volume according to the size and quantity of the residues for flushing; during the flushing process, the flushing pressure and flow rate will be adjusted according to the operation requirements.

[0072] Therefore, if the current position of the bladder irrigation head is at this irrigation node, it triggers the bladder irrigation head to perform targeted irrigation on the irrigation area based on the irrigation volume of the corresponding bladder irrigation fluid, monitors the dynamic irrigation process of the bladder irrigation head in real time, and conducts hierarchical control over the irrigation volume of the bladder irrigation fluid to construct the dynamic monitoring logic of the bladder irrigation fluid, realizing the division of multiple irrigation nodes and dynamically monitoring the bladder irrigation fluid at multiple irrigation nodes, ensuring the accuracy of bladder irrigation fluid monitoring for patients after prostatectomy.

[0073] At this time, confirm the precise position of the bladder irrigation head, which is usually achieved through built-in sensors or positioning systems, such as using RFID (Radio Frequency Identification), GPS (Global Positioning System, although not common in this scenario but with a similar principle), or other high-precision position tracking technologies; the system needs to be able to obtain the position information of the irrigation head in real time and determine whether it is located on the preset irrigation node.

[0074] Once it is confirmed that the bladder irrigation head is at the designated irrigation node, the system will automatically trigger the irrigation action, which usually involves starting the irrigation pump or related equipment to make the bladder irrigation fluid flow out according to preset parameters (such as pressure, flow rate) to irrigate a specific area; the irrigation parameters need to be set according to the specific situation of the patient (such as bladder size, condition, etc.) and the doctor's instructions.

[0075] During the irrigation process, the system needs to continuously monitor the movement of the irrigation head (if the irrigation head is movable) and the flow of the irrigation fluid, which can be achieved through sensors, cameras or other monitoring devices installed on the irrigation head; the monitoring data includes the position, speed of the irrigation head, the flow rate and pressure of the irrigation fluid, etc., to ensure that the irrigation process meets the preset requirements.

[0076] At this time, hierarchical control of the irrigation volume means dynamically adjusting the amount of irrigation fluid according to the real-time data during the irrigation process; for example, a larger irrigation volume may be required in the initial stage to quickly remove dirt, while the irrigation volume may be reduced in the subsequent stage to avoid unnecessary irritation or damage to the patient, and this adjustment can be achieved by controlling the working state of the irrigation pump or adjusting the supply rate of the irrigation fluid.

[0077] Specifically, assume that a patient needs bladder irrigation to prevent infection and stone recurrence after undergoing surgical treatment for bladder stones; the doctor sets three irrigation nodes according to the patient's specific situation: Node A (bladder bottom), Node B (bladder middle), and Node C (bladder neck).

[0078] When the bladder irrigation head moves to node A, the system confirms its position through the built-in RFID sensor; the system immediately starts the irrigation pump to irrigate node A at a medium flow rate and pressure for a duration of 2 minutes; during the irrigation process, the system monitors the position of the irrigation head and the flow of the irrigation fluid through the camera to ensure the smooth progress of the irrigation process; at the same time, the sensor records the flow rate and pressure data of the irrigation fluid in real time.

[0079] In the first half minute of irrigation, the system irrigates at a higher flow rate; in the second half minute, according to the detected removal of dirt in the bladder, the system automatically adjusts the irrigation flow rate to a lower level to reduce the irritation to the patient; after completing the irrigation of node A, the irrigation head automatically moves to node B and node C, repeating the above process.

[0080] In an embodiment of the present application, the irrigation node matching table is shown in Table 5: Table 5 Irrigation Node Matching Table Operation instructions: When the bladder irrigation head reaches node A, the system automatically selects normal saline as the irrigation fluid according to the irrigation node matching table and starts irrigation at a flow rate of 200 mL / min; the system monitors the irrigation process in real time, including the position of the irrigation head and the flow rate of the irrigation fluid; according to the hierarchical control strategy, the system maintains a flow rate of 200 mL / min for the first 2 minutes of irrigation, and then reduces the flow rate to 100 mL / min in the next 3 minutes to ensure the effectiveness of irrigation and the comfort of the patient; when the irrigation head moves to node B and node C, the system repeats the above process but makes adjustments according to the corresponding parameters in the irrigation node matching table.

[0081] Please refer to Figure 7 , Figure 7 is a schematic structural composition diagram of the bladder irrigation fluid monitoring system for patients after prostatectomy in an embodiment of the present invention; the bladder irrigation fluid monitoring system for patients after prostatectomy includes: The resection area module 21 is used to divide the corresponding resection area of the prostate according to the prostate resection image; The to-be-irrigated feature module 22 is used to determine multiple to-be-irrigated features based on the feature recognition of the resection area of the prostate; The irrigation path module 23 is used to determine the irrigation paths of multiple irrigation areas according to the spatial positions of multiple to-be-irrigated features, the morphologies of multiple to-be-irrigated features, and the spatial system of the resection area of the prostate; The irrigation volume module 24 is used to determine the irrigation volumes of the bladder irrigation fluid in multiple irrigation areas based on the feature types of multiple to-be-irrigated features, the resection coefficients of multiple to-be-irrigated features, and the irrigation area matching table during the control of multiple irrigation areas; The dynamic monitoring module 25 is configured to determine the flushing logics of multiple flushing nodes based on the flushing volumes of the bladder flushing fluid in multiple flushing areas and the flushing paths of the bladder flushing head. The multiple flushing nodes are all distributed on the flushing paths of the bladder flushing head and match the corresponding dynamic monitoring logics of the bladder flushing fluid.

[0082] For any combination of the technical features of the above embodiments, for the sake of brevity of description, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

Claims

1. A method for monitoring the bladder irrigation fluid of patients after prostatectomy, characterized in that, Including: Dividing the corresponding resection area of the prostate according to the prostatectomy image; Determining a plurality of features to be flushed based on the feature recognition of the resection area of the prostate; Determining the flushing paths of a plurality of flushing areas according to the spatial positions of the plurality of features to be flushed, the morphologies of the plurality of features to be flushed, and the spatial system of the resection area of the prostate; In the control of a plurality of flushing areas, determining the flushing volumes of the bladder flushing fluid for the plurality of flushing areas based on the feature types of the plurality of features to be flushed, the resection coefficients of the plurality of features to be flushed, and the flushing area matching table; Determining the flushing logics of a plurality of flushing nodes based on the flushing volumes of the bladder flushing fluid for the plurality of flushing areas and the flushing paths of the bladder flushing head. The plurality of flushing nodes are all distributed on the flushing paths of the bladder flushing head and match the corresponding dynamic monitoring logics of the bladder flushing fluid.

2. The method for monitoring the bladder irrigation fluid of a patient after prostatectomy according to claim 1, wherein The dividing the corresponding resection area of the prostate according to the prostatectomy image includes: During the prostatectomy of the patient, the probe performs on-line detection on the prostate and outputs the corresponding prostatectomy image, which is stored in the corresponding cloud database; Presenting the corresponding demarcation line contour according to the image preprocessing of the prostatectomy image, determining a plurality of primary areas according to the positions of each demarcation line contour and the line connection relationship of the demarcation line contours, and generating the corresponding resection area of the prostate through the further synthesis of the plurality of primary areas and the resection marks marked on the prostatectomy image.

3. The method for monitoring the bladder irrigation fluid of a patient after prostatectomy according to claim 1, wherein The determining a plurality of features to be flushed based on the feature recognition of the resection area of the prostate includes: Determining the state parameters of the resection area according to the morphology of the resection area of the prostate and the area of the resection area of the prostate, and matching the corresponding feature recognition learning model according to the state parameters of the resection area and the surgical records of the patient after prostatectomy. The feature recognition learning model is the feature recognition learning model preset in the hospital database; Inputting the resection area of the prostate into the preset feature recognition learning model, and outputting a plurality of features to be flushed based on the recognition of the resection area of the prostate by the preset feature recognition learning model.

4. The method for monitoring the bladder irrigation fluid of a patient after prostatectomy according to claim 1, characterized in that, The determining the flushing paths of a plurality of flushing areas according to the spatial positions of the plurality of features to be flushed, the morphologies of the plurality of features to be flushed, and the spatial system of the resection area of the prostate includes: Constructing a corresponding spatial system based on the resection area of the prostate. In the spatial system of the resection area of the prostate, determining the spatial positions of the plurality of features to be flushed according to the markings of the plurality of features to be flushed and the spatial system of the resection area of the prostate.

5. The method for monitoring bladder irrigation fluid of a patient after prostatectomy according to claim 4, characterized in that, The determining the flushing paths of a plurality of flushing areas according to the spatial positions of the plurality of features to be flushed, the morphologies of the plurality of features to be flushed, and the spatial system of the resection area of the prostate further includes: Determining the morphologies of the plurality of features to be flushed according to the recognition of the outer contours of the plurality of features to be flushed, determining a plurality of sub-paths according to the spatial positions of the plurality of features to be flushed, the morphologies of the plurality of features to be flushed, and the path mapping relationship of the path matching table, and determining the flushing paths of the plurality of flushing areas according to the gradual connection of the plurality of sub-paths.

6. The method for monitoring the bladder irrigation fluid of a patient after prostatectomy according to claim 1, wherein, In the control of multiple flushing areas, determining the flushing volume of the bladder flushing fluid for multiple flushing areas based on the feature types of multiple features to be flushed, the resection coefficients of multiple features to be flushed, and the flushing area matching table includes: Controlling multiple flushing areas. At this time, determining the feature types of multiple features to be flushed according to the detection of multiple features to be flushed; determining the damage parameters of multiple features to be flushed according to the mapping relationship between the feature types of multiple features to be flushed and the damage matching table.

7. The method for monitoring the bladder irrigation fluid of a patient after prostatectomy according to claim 6, characterized in that, In the control of multiple flushing areas, determining the flushing volume of the bladder flushing fluid for multiple flushing areas based on the feature types of multiple features to be flushed, the resection coefficients of multiple features to be flushed, and the flushing area matching table further includes: Collecting the resection records of multiple features to be flushed during the operation, and determining the resection coefficients of multiple features to be flushed according to the resection records, the morphologies of multiple features to be flushed, and the resection matching table. Determining the flushing volume of the bladder flushing fluid for multiple flushing areas based on the resection coefficients of multiple features to be flushed, the damage parameters of multiple features to be flushed, and the flushing area matching table.

8. The method for monitoring the bladder irrigation fluid of a patient after prostatectomy according to claim 1, characterized in that, Determining the flushing logic of multiple flushing nodes based on the flushing volume of the bladder flushing fluid for multiple flushing areas and the flushing path of the bladder flushing head. Multiple flushing nodes are all distributed on the flushing path of the bladder flushing head and match the corresponding dynamic monitoring logic of the bladder flushing fluid, including: Determining multiple flushing nodes according to the flushing path of the bladder flushing head and the spatial positions of multiple flushing areas. Multiple flushing nodes are one of the positions on the flushing path of the bladder flushing head; Determining the flushing logic of multiple flushing nodes based on the flushing volume of the bladder flushing fluid for multiple flushing areas and the corresponding flushing nodes. The flushing logic of multiple flushing nodes covers the flushing volume of the bladder flushing fluid configured for multiple flushing nodes.

9. The method for monitoring the bladder irrigation fluid of a patient after prostatectomy according to claim 8, wherein, Determining the flushing logic of multiple flushing nodes based on the flushing volume of the bladder flushing fluid for multiple flushing areas and the flushing path of the bladder flushing head. Multiple flushing nodes are all distributed on the flushing path of the bladder flushing head and match the corresponding dynamic monitoring logic of the bladder flushing fluid further includes: If the current position of the bladder flushing head is at this flushing node, triggering the bladder flushing head to perform fixed-point flushing on the flushing area based on the flushing volume of the corresponding bladder flushing fluid, real-time monitoring the dynamic flushing process of the bladder flushing head, and performing hierarchical control on the flushing volume of the bladder flushing fluid to construct the dynamic monitoring logic of the bladder flushing fluid.

10. A bladder irrigation fluid monitoring system for patients after prostatectomy, characterized in that, The bladder flushing fluid monitoring system for patients after prostatectomy is applied to the bladder flushing fluid monitoring method for patients after prostatectomy as described in any one of claims 1-9. The bladder flushing fluid monitoring system for patients after prostatectomy includes: A resection area module for dividing the corresponding resection area of the prostate according to the prostate resection image; A feature to be flushed module for determining multiple features to be flushed based on the feature recognition of the resection area of the prostate; A flushing path module for determining the flushing paths of multiple flushing areas according to the spatial positions of multiple features to be flushed, the morphologies of multiple features to be flushed, and the spatial system of the resection area of the prostate; A flushing volume module, which is used to determine the flushing volume of the bladder flushing fluid in multiple flushing areas based on the feature types of multiple features to be flushed, the resection coefficients of multiple features to be flushed, and a flushing area matching table in the control of multiple flushing areas; A dynamic monitoring module, which is used to determine the flushing logic of multiple flushing nodes based on the flushing volume of the bladder flushing fluid in multiple flushing areas and the flushing path of the bladder flushing head. Multiple flushing nodes are all distributed on the flushing path of the bladder flushing head and match the corresponding dynamic monitoring logic of the bladder flushing fluid.

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