Intelligent urinary stoma cleaning system

Abstract

The invention relates to the technical field of medical auxiliary equipment, in particular to an intelligent urinary stoma cleaning system which comprises a sensor module used for checking the stoma state of a user and the condition of peripheral skin and obtaining health index data of the user; the self-cleaning module is used for performing automatic cleaning operation on the stoma of the user; the nursing module is used for dynamically adjusting a cleaning mode and a maintenance plan; the control module is used for adjusting cleaning parameters, generating a cleaning report and sending out an alarm signal; and the visualization module is used for setting basic information of the user and visually displaying a cleaning report, a cleaning operation, a maintenance plan and an alarm signal at the same time. The cleaning mode and the maintenance plan are dynamically adjusted according to the historical reference data, the activity level and the stoma requirement of the user, so that nursing is more personalized and scientific, meanwhile, the cleaning time and frequency can be intelligently adjusted by analyzing the activity data and the behavior rule of the user, and therefore the nursing plan better conforms to the living habit of the user.

Description

Technical Field

[0001] The present invention relates to the technical field of medical auxiliary equipment, in particular to an intelligent urinary stoma cleaning system. Background Art

[0002] A stoma is a surgical procedure performed to treat digestive or urinary system diseases. It creates an opening in the abdominal wall to allow the contents of the intestine or urinary tract to drain out of the body. After stoma surgery, patients need long-term stoma care to keep the stoma site clean and prevent infection and other complications.

[0003] Traditional stoma cleaning mainly relies on manual operation, including manually cleaning the stoma and surrounding skin with warm water and non-irritating detergent. However, this method has problems such as low efficiency, incomplete cleaning, and possible discomfort to patients.

[0004] Manual stoma cleaning is not only time-consuming and labor-intensive, but also often difficult to ensure stable cleaning effects due to inconsistencies in cleaning techniques. In addition, frequent stoma care is a severe challenge for patients with limited mobility or self-care ability.

[0005] With the development of medical technology and the improvement of patients' requirements for quality of life, the market urgently needs an automated and intelligent stoma cleaning system to improve cleaning efficiency, reduce the physical and psychological burden on patients, and provide medical staff with more convenient and hygienic care solutions.

[0006] In recent years, there have been some attempts to use mechanical devices to assist stoma cleaning, such as using simple water spray devices or cleaning tools with liquid suction functions. However, these devices usually lack intelligent control, cannot adjust the cleaning procedures according to the actual situation of the stoma, and have a single function and cannot meet the diverse care needs of patients.

[0007] The Chinese invention with publication number CN118448063A discloses an information-based intelligent nursing system for urinary stoma patients, which relates to the field of medical nursing technology. The system monitors the urine data and stoma data of urinary stoma patients in real time through a patient monitoring module and a machine learning module. These monitoring data are processed and analyzed by a machine learning model, and can quickly and accurately capture any abnormal changes. Through the monitoring and early warning module, the system sets a preset threshold for comparing and evaluating the monitored data. Once any abnormal situation exceeding the preset threshold is monitored, the system will immediately issue an early warning message. This timely alarm mechanism enables nursing staff to take quick action to intervene and treat the patient's specific situation, effectively reducing the risks faced by the patient, improving nursing efficiency and the overall safety of the patient. In addition, since the system can monitor and evaluate the patient's physiological condition in real time, medical staff can adjust the treatment plan more promptly. However, the system lacks an automated cleaning function and cannot provide real-time cleaning care for urinary stoma patients, thereby affecting the hygiene of the stoma area and the comfort of the patient. Summary of the invention

[0008] The purpose of the present invention is to provide an intelligent urinary stoma cleaning system to solve the problem of lack of automated cleaning function proposed in the above background technology, which cannot provide real-time cleaning care for urinary stoma patients, thereby affecting the sanitary condition of the stoma area and the comfort of the patient.

[0009] The technical solution of the present invention is: an intelligent urinary stoma cleaning system, comprising: A sensor module is used to check the user's stoma status and surrounding skin conditions, monitor the user's stoma status through images, and obtain the user's health indicator data; A self-cleaning module, used to perform an automated cleaning operation on the user's stoma through a self-cleaning component; A care module that dynamically adjusts cleaning modes and maintenance schedules based on the user's historical reference data, user activity level, and stoma needs; A control module, used to adjust cleaning parameters, generate cleaning reports, and issue alarm signals according to the user's health indicator data; The visualization module is used to set basic user information and visually display cleaning reports, cleaning operations, maintenance plans and alarm signals.

[0010] Furthermore, it also includes: The voice module is used to execute the user's voice instructions based on VR technology and AR technology, and visually guide the cleaning operation.

[0011] Further, the sensor module includes but is not limited to an image recognition sensor, a temperature sensor, a humidity sensor, a biosensor, a pressure sensor, a position sensor, a chemical sensor, and a conductivity sensor; Image recognition sensors to identify color changes, swelling, and leakage in the stoma area; A temperature sensor for obtaining the skin temperature around the stoma; A moisture sensor to detect the moisture of the skin around the stoma; Biosensors, used to obtain health indicator data of users; A pressure sensor for obtaining the contact pressure between the stoma patch and the skin; a position sensor for obtaining the position of the stoma patch; Chemical sensors to determine the chemical composition of stoma secretions; Conductivity sensor to measure the electrical conductivity of the skin.

[0012] Furthermore, the self-cleaning module includes: A disinfection unit, used to sterilize the water spray component, the cleaning component and the liquid suction component, wherein the sterilization method is but not limited to ultraviolet disinfection, chemical disinfection and high-temperature steam disinfection; The cleaning component is sterilized by irradiation with an ultraviolet lamp and sterilized by high-temperature steam, and the water spray component and the liquid absorption component are sterilized by spraying with a disinfectant or a cleaning liquid; A monitoring unit for displaying the current progress and completion progress of cleaning through a progress bar, a sensor and a timer; The progress bar is set in the visualization module, and the progress bar is filled as the cleaning process progresses. The sensor is used to obtain the water pressure, water flow speed and total water flow of the water spray assembly. The timer is used to set the required time for each cleaning step. The adjustment unit is used to adjust the cleaning time and frequency according to the user's daily activity pattern.

[0013] Furthermore, the adjustment unit adjusts the cleaning time and frequency as follows: SA1: Obtain user activity data through wearable devices or health monitoring devices; SA2: Identify the user's activity pattern and predict the user's behavior pattern based on the user's activity data and machine learning model; SA3: Determine a cleaning plan corresponding to the user based on the user's behavior pattern.

[0014] Furthermore, the nursing module includes: The data unit obtains the physiological data and external data of the user, and obtains the importance scores corresponding to the physiological data and the external data, and arranges them in descending order according to the importance scores, and selects the data starting from the first data according to the preset required number of data. The calculation formula of the importance score is specifically: ; in: is the i-th feature The corresponding importance score, is the total number of permutations, is the number of the current arrangement, is the performance of the model on the original dataset, is the dataset after the model is arranged for the jth time Performance on A processing unit, which determines the user's behavior pattern and health status through a data learning model and selected physiological data and external data, wherein the data learning model includes but is not limited to principal component analysis, linear discriminant analysis, supervised learning model and deep learning model; A maintenance unit, used to determine a care plan for the user based on the user's behavior pattern and health condition; Improvement unit, which is used to evaluate the care plan through user feedback and performance evaluation, and make adjustments to the care plan based on the evaluation results.

[0015] Furthermore, the maintenance unit determines the user's care plan as follows: SB1: Determine care goals based on the user’s behavior patterns and health status; SB2: Obtain the comprehensive score of the nursing goal, and sort the nursing goals corresponding to the comprehensive score in descending order according to the size of the comprehensive score. The calculation formula of the comprehensive score of the nursing goal is specifically: ; in: A comprehensive score for nursing goals. is the weight of the importance score, Rate the importance of the nursing goals, is the weight of the urgency score, rate the urgency of care goals; SB3: Based on the ranked nursing goals, prioritize the nursing strategies corresponding to the nursing goals ranked first, and formulate a nursing plan, which includes but is not limited to a cleaning schedule, cleaning tools and cleaning methods to be used.

[0016] Furthermore, the nursing plan is adjusted through the improvement unit, as follows: SC1: Collect user feedback to determine the implementation of the care plan and the user's actual experience; SC2: Evaluate the effect of the nursing plan through objective indicators and subjective indicators. The objective indicators include but are not limited to the success rate of the nursing plan execution and user satisfaction. The subjective indicator evaluation includes but is not limited to the user's perception of the nursing effect. SC3: Based on the implementation of the nursing plan, the actual experience of the users, and the evaluation results of the nursing plan effect, determine the existing problems of the nursing plan, and based on the existing problems, determine improvement measures, which include but are not limited to simplifying nursing steps and readjusting nursing strategies.

[0017] Furthermore, the control module includes: A threshold unit, which pre-sets cleaning parameters and alarm parameters according to care needs and specific conditions of the user, wherein the cleaning parameters include reference values ​​and threshold conditions for triggering parameter adjustment; A reporting unit, generating a cleaning report according to the adjusted cleaning parameters, wherein the cleaning report includes but is not limited to cleaning time, cleaning location and cleaning method; The alarm unit monitors the user's health indicators. When the health indicators are greater than the preset alarm parameters, the alarm message is sent to the user and the caregiver through the application, SMS and phone.

[0018] Furthermore, the voice module includes: A command unit, used to capture the user's voice command and convert the voice command into an execution command through natural language processing logic; The training unit is used to create a simulated cleaning environment through VR technology and guide the cleaning operation through AR technology. The simulated cleaning environment includes but is not limited to cleaning objects, cleaning tools and cleaning positions, and the cleaning operations include but are not limited to cleaning step instructions and location identification of cleaning tools.

[0019] The present invention provides an intelligent urinary stoma cleaning system through improvement, which has the following improvements and advantages compared with the prior art: First, the intelligent urinary stoma cleaning system of the present invention dynamically adjusts the cleaning mode and maintenance plan according to the user's historical reference data, activity level and stoma needs, making the care more personalized and scientific. At the same time, by analyzing the user's activity data and behavior patterns, it can intelligently adjust the cleaning time and frequency, so that the care plan is more in line with the user's living habits; Second, the present invention uses a variety of sensors to monitor the state of the stoma and the surrounding skin in real time, so that potential problems can be discovered in time and accurate data support can be provided. At the same time, the workload of manual cleaning can be reduced through automated cleaning operations, thereby ensuring the efficiency and accuracy of cleaning. Thirdly, the present invention adjusts cleaning parameters according to health index data, generates cleaning reports, and issues alarm signals when necessary, thereby improving the response speed to abnormal situations. At the same time, through preset threshold conditions, abnormal changes in health indicators can be discovered in a timely manner and corresponding adjustments can be made; Fourthly, the present invention can enable users to conveniently view and manage their basic information, cleaning reports, cleaning operations, maintenance plans and alarm signals through an intuitive interface, thereby enhancing the user's sense of participation. At the same time, tasks can be performed through voice commands, and visual assistance can be provided through VR / AR technology, which can make the operation more convenient and user-friendly, thereby reducing the learning cost; Fifthly, the present invention sterilizes the cleaning components, thereby ensuring the safety and hygiene of the cleaning process, and at the same time displays the current progress and completion progress of the cleaning through a progress bar, a sensor and a timer, thereby ensuring the transparency and controllability of the operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention will be further explained below in conjunction with the accompanying drawings and embodiments: Figure 1 1 is a system block diagram of the intelligent urinary stoma cleaning system of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] It should be noted that, in the description of the present invention, the terms "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" etc. indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as a limitation on the present invention.

[0023] Furthermore, it should be understood that for the sake of ease of description, the sizes of the various components shown in the drawings are not drawn according to actual proportions. For example, the thickness or width of certain layers may be exaggerated relative to other layers.

[0024] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined or described in one drawing, it will not require further detailed discussion and description in the description of the subsequent drawings.

[0025] refer to Figure 1 , this embodiment provides an intelligent urinary stoma cleaning system, which is intended to improve the comfort and hygiene of stoma patients and reduce the workload of nursing. In this embodiment, the intelligent urinary stoma cleaning system includes a sensor module, a self-cleaning module, a nursing module, a control module, a visualization module and a voice module. Specifically, when the user starts the intelligent urinary stoma cleaning system of this embodiment, the sensor module will first collect the user's current stoma status and health indicators, and then obtain the current stoma status and health indicator information obtained by the sensor module. The nursing module obtains a cleaning solution suitable for the user's current situation through data comparison, and the control module adjusts the working parameters of the self-cleaning module according to the cleaning solution and performs the cleaning task. Further, during this execution, the visualization module will display the ongoing cleaning process, and when the user has any questions or needs help, he can also request guidance through the voice module. It is also worth noting that throughout the process, the intelligent urinary stoma cleaning system in this embodiment will continuously monitor the user's status and issue an alarm notification when necessary. At the same time, during the nursing and cleaning process, the visualization module can also display related cleaning operations so that the cleaning staff can see the current cleaning operation status in real time.

[0026] In this embodiment, the sensor module includes a variety of high-precision sensors for monitoring the user's stoma status and the surrounding skin. At the same time, the multiple high-precision sensors can not only identify changes in the state of the stoma, but also monitor whether the stoma is red, swollen, exudate or other abnormal phenomena through image recognition technology. In addition, the sensor can also collect the user's health indicator data, such as body temperature, heart rate, etc., for further analysis.

[0027] Furthermore, the sensor module includes but is not limited to an image recognition sensor, a temperature sensor, a humidity sensor, a biosensor, a pressure sensor, a position sensor, a chemical sensor, and a conductivity sensor. The image recognition sensor is arranged around the edge of the stoma opening or directly above the stoma, and uses an image processing algorithm to identify abnormal phenomena such as color changes, swelling, and whether there is exudate in the stoma area. In other words, the image of the stoma area is captured by a camera, that is, the image is taken before and after each cleaning, and the image is compared with the historical record to evaluate the cleaning effect and detect potential problems in a timely manner.

[0028] Furthermore, the temperature sensor is placed inside the skin-approaching layer, close to the edge of the stoma opening, and monitors the skin temperature around the stoma to assess whether there are signs of infection. That is, a highly sensitive thermocouple or thermistor is used to accurately measure local temperature changes. In other words, the temperature sensor continuously monitors the skin temperature, and when an abnormal increase is detected, an alarm will be sounded to alert the user.

[0029] Furthermore, the humidity sensor is set inside the skin-applying layer, close to the edge of the stoma opening, which detects the humidity of the skin around the stoma to prevent eczema or other skin problems. That is, a capacitive humidity sensor is used to accurately measure relative humidity. In other words, it combines the data from the temperature sensor to comprehensively judge the health of the skin and adjust the cleaning and maintenance plan as needed.

[0030] Furthermore, biosensors can be integrated into the outer layer of the stoma base or worn on other parts (such as the wrist) to collect health indicator data of the user, such as heart rate, blood oxygen saturation, etc. That is, non-invasive measurement technology such as photoplethysmography (PPG) is used, and the collected physiological parameters can better understand the user's overall health status, and provide medical advice or warnings when necessary.

[0031] Furthermore, pressure sensors are arranged inside the skin-attaching layer, distributed at multiple points where the stoma patch contacts the skin, and monitor the contact pressure between the stoma patch and the skin to ensure that the patch is well fixed. That is, a thin film pressure sensor is used to detect subtle pressure changes, thereby ensuring that the stoma patch is not loose or shifted, thereby improving the comfort and safety of the user.

[0032] Furthermore, the position sensor is set at the edge or center of the stoma patch, which tracks the position of the stoma patch to ensure that it is always in the correct position. That is, by using near field communication (NFC) or RFID tags, the patch position can be accurately located, thereby ensuring that the stoma patch will not shift during use, thereby maintaining its effectiveness.

[0033] Furthermore, the chemical sensor is arranged in the middle layer, directly contacting the stoma secretion, and detecting the chemical composition in the stoma secretion to assess the health status. That is, an electrochemical sensor or an optical sensor is used to analyze specific chemicals in the liquid sample, thereby providing information about the composition of the stoma secretion and helping doctors diagnose possible problems.

[0034] Furthermore, the conductivity sensor is placed inside the skin-applicable layer, close to the edge of the stoma opening, and measures the conductivity of the skin to monitor the health of the skin. That is, an electrode array is used to non-invasively measure the conductivity of the skin, which is used in conjunction with the humidity sensor to jointly assess the health of the skin.

[0035] In this embodiment, the self-cleaning module is used to clean the user's stoma in an automated manner through a self-cleaning component. Specifically, the self-cleaning module includes a disinfection unit, a monitoring unit, and an adjustment unit. Further, the disinfection unit is used to sterilize the water spray component, the cleaning component, and the liquid absorption component to ensure the hygienic safety of the entire cleaning process, which includes but is not limited to ultraviolet disinfection, chemical disinfection, and high-temperature steam disinfection. At the same time, after each cleaning operation is completed, the disinfection unit will automatically activate to disinfect all parts that are in direct contact with the skin to ensure the hygienic safety of the next use. Further, ultraviolet disinfection means that when the cleaning component is not working, the built-in ultraviolet lamp will irradiate and disinfect the cleaning component. Chemical disinfection refers to disinfecting the water spray component and the liquid absorption component by spraying a disinfectant or using a cleaning solution containing a disinfecting component. High-temperature steam disinfection refers to disinfecting the cleaning component by high-temperature steam to kill bacteria and viruses.

[0036] Further, the monitoring unit is used to monitor the current progress and completion of the cleaning process in real time, and feed back the information to the user or the control module. Specifically, the monitoring unit can monitor the cleaning process in a variety of ways to ensure the smooth progress of the cleaning task, including but not limited to specific display through progress bar display, sensor feedback and timer. It is worth noting that in this embodiment, the monitoring unit performs a comprehensive display through progress bar display, sensor feedback and timer.

[0037] Furthermore, when the progress bar is displayed, that is, the cleaning progress is displayed in the visualization module, the user can intuitively understand the cleaning process. Specifically, there is a progress bar in the visualization module that can be gradually filled as the cleaning process progresses. The progress bar can dynamically reflect the completion status of the current cleaning step through real-time communication with the control module. At the same time, the progress bar is attached with text descriptions or icons, so that more information about the current cleaning stage can be provided. For example, the user can know how much cleaning has been done and how much is left. This can enhance the user's trust and sense of participation in the system, especially in the process of waiting for the cleaning to be completed. In other words, the initial state of the progress bar should be empty or displayed as 0%, and the progress bar should communicate with the control module in real time to dynamically update the state of the progress bar. The text description or icon next to the progress bar can display the current cleaning stage, such as "pre-cleaning", "main cleaning", "final rinse", etc. That is Furthermore, when feedback is obtained through sensors, the changes in parameters such as water pressure and flow rate during the cleaning process can be monitored in real time through built-in pressure sensors, flow sensors, etc., so as to ensure the effectiveness and safety of cleaning. Among them, the pressure sensor can monitor the water pressure generated by the water spray assembly and ensure that the water pressure is within a safe range, so that it can not only effectively clean but also not damage the skin. The flow sensor can measure the water flow rate and the total amount of water flow through the water spray assembly to verify whether the cleaning program is executed according to the preset parameters. In other words, the data obtained by the pressure sensor and the flow sensor can be transmitted to the control module in real time, and the control module can be analyzed to determine whether the cleaning process is proceeding normally. It is worth noting that when monitoring is performed through sensor feedback, its sensor data can not only be used to monitor the execution of the current cleaning task, but also can be used to optimize future cleaning plans. For example: when a parameter is found to deviate from the normal range, the system can adjust the parameter settings for subsequent cleaning. In other words, the water pressure range required for normal cleaning in this embodiment is 0.1MPa-0.3MPa, and the flow rate is 1L / min. That is, when the pressure sensor detects that the water pressure is lower than 0.1MPa, the working state of the water pressure pump will be automatically adjusted, that is, the water pressure will be increased to the normal range. Similarly, when the flow sensor detects that the flow rate is lower than 1L / min, the water flow rate will be adjusted accordingly.

[0038] Furthermore, when using a timer, the time required for each cleaning step is set, and the timer is used to monitor whether it is completed on time. In other words, each cleaning step is preset with a corresponding time window, and the timer starts at the beginning of each step and ends within the preset time. When the cleaning step exceeds the preset time, an alarm will be issued to prompt the user to intervene. In other words, through precise time control, it can be ensured that each step is completed according to the established plan, thereby improving the overall efficiency of cleaning and preventing insufficient or excessive cleaning due to too long or too short time.

[0039] That is to say, the cleaning task in this embodiment is divided into three stages in total, wherein the pre-cleaning stage takes 30 seconds, the main cleaning stage takes 60 seconds, and the final rinsing stage takes 30 seconds. At the beginning of each stage, the timer starts and counts down. At the same time, the initial state of the progress bar is 0%, and as the first stage proceeds, the progress bar gradually fills to 33% and displays "pre-cleaning in progress". When the first stage is completed, the progress bar is updated to 33% and displays "main cleaning starts", and so on. It is worth noting that if the cleaning is not completed within the preset time, an alarm will be issued to prompt the user to check whether the device is working properly.

[0040] Furthermore, the adjustment unit is used to dynamically adjust the cleaning time and frequency according to the user's daily activity pattern to adapt to the user's personal needs. That is, by analyzing the user's activity pattern, the cleaning plan is dynamically adjusted so that the cleaning operation can ensure the effect without interfering with the user's daily life. Specifically, the implementation process of the adjustment unit is as follows: Step SA1: Collect the user's activity data through wearable devices or other health monitoring devices, such as smart watches, smart bracelets, health applications on smartphones, etc., to obtain the user's step count, sleep quality, heart rate changes and other data.

[0041] Step SA2: Based on the user's activity data obtained in step S1, identify the user's activity pattern through a machine learning model, such as a prediction model based on time series analysis or a supervised learning model, and predict the user's behavior patterns through the identified activity pattern, such as: daily active time period, rest time, etc.

[0042] Specifically, the required features are extracted from the user's activity data obtained in step S1, such as daily step changes, sleep cycles, etc. At the same time, a prediction model or supervised learning model based on time series analysis is combined, such as a recurrent neural network (RNN), a long short-term memory network (LSTM), a random forest, etc. That is, the user's historical activity data obtained in step S1 is used to train the above-mentioned prediction model or supervised learning model based on time series analysis, so that it can identify the user's activity pattern and predict the user's behavior pattern. For example: the user's heart rate data, step changes, and sleep quality in the past month are analyzed by the LSTM model to identify the user's peak activity period and rest period. At the same time, the LSTM model can be trained based on time series data to identify the user's daily active time period and rest time.

[0043] Step SA3: Formulate a personalized cleaning plan for the user based on the user's behavior pattern predicted in step S2. That is, the adjustment unit can automatically adjust the cleaning plan based on the user's activity pattern, for example, reducing the number of cleaning times during the user's active period and increasing the cleaning frequency during the rest period, thereby ensuring the cleaning effect without affecting the user's daily life.

[0044] That is, when it is predicted in step S2 that the user is more active between 3pm and 5pm every day, the cleaning frequency can be reduced between 3pm and 5pm every day. When it is predicted in step S2 that the user is in a resting state between 10pm and 7am the next day, the cleaning frequency can be increased between 10pm and 7am the next day, thereby ensuring sanitary conditions during the rest period.

[0045] In this embodiment, the care module is used to dynamically adjust the cleaning mode and maintenance plan according to the user's historical reference data, activity level and specific needs of the stoma. The care module includes a data unit, a processing unit, a maintenance unit and an improvement unit. Specifically, the data unit can collect the user's physiological data (such as heart rate, number of steps, sleep quality) and external data (such as environmental data, diet records, etc.) regularly or in real time by connecting to the user's wearable devices, health monitoring devices and other data sources, such as smart watches, health applications, etc. At the same time, the acquired data is cleaned, that is, invalid or erroneous data is removed by an outlier detection algorithm (such as Z-Score), and data from different sources are integrated into a unified format through data fusion technology (such as data isomorphic mapping) for subsequent use. It is worth noting that in this embodiment, by using Permutation Importance or SHAP value, the final required features are determined from the data integrated into a unified format, that is, which features contribute the most to the subsequent model prediction. That is to say, by obtaining the importance score corresponding to each feature and arranging them in descending order according to the importance score, data can be selected starting from the first data according to the required number of data. The importance score corresponding to each feature is as follows: ; in: is the i-th feature The corresponding importance score, is the total number of permutations, is the number of the current arrangement, is the performance of the model on the original dataset, is the dataset after the model is arranged for the jth time on performance.

[0046] Further, the processing unit analyzes the user's behavior pattern and health status according to the data collected by the data unit, that is, according to the features that contribute most to the subsequent model prediction, to provide a basis for the adjustment of the care plan. Specifically, useful features are extracted from the data collected by the data unit, such as the user's activity pattern, sleep cycle, step change, heart rate fluctuation, etc. The implementation method of feature extraction includes but is not limited to statistical features, text features, image features and composition features. At the same time, the extracted features are classified or predicted through the data learning model. The data learning model includes but is not limited to principal component analysis, linear discriminant analysis, supervised learning model and deep learning model. Specifically, in this embodiment, the user's steps, heart rate and other physiological indicators can be collected through a smart watch, and the user's sleep cycle, eating habits and other lifestyle information can be recorded through a mobile phone application. And from the above physiological data, the statistical features such as the mean and standard deviation of the user's daily steps are extracted to measure the user's activity level. At the same time, from the above lifestyle data, the user's sleep data is analyzed to extract features such as the time to fall asleep and the number of times awake to understand the user's sleep quality, and combined with the user's diet record, the nutrient intake and other features are extracted to evaluate the user's health status. The random forest algorithm is then used to analyze the user's activity patterns and identify the user's active time periods. The SVM model is then used to predict the user's future health status, such as whether there is a risk of infection.

[0047] Furthermore, the maintenance unit is used to formulate the user's care strategy based on the analysis results provided by the processing unit, and dynamically adjust the care plan based on the user's real-time data and feedback information to ensure the effectiveness of the plan. Specifically, its implementation process is as follows: Step SB1: According to the analysis report in the processing unit, the analysis report includes but is not limited to the user's activity pattern, health status, living habits and other information. At the same time, according to the analysis report, determine the care goals, such as improving skin health, reducing infection risks, etc. Specifically, the user's health status is evaluated, including but not limited to physical function, mental state, nutritional status and pain level. At the same time, analyze the user's living habits, including diet, exercise and sleep patterns. In other words, through the evaluation and analysis of the user's health status and living habits, the main health problems and potential risks currently faced by the user are determined, so as to determine the specific care goals. For example, when the user is at risk of skin damage or pressure sores, the care goal includes "reducing the area of ​​skin damage by at least 50% in the next two weeks." When the user is susceptible to infection due to a weak immune system, the care goal is "to reduce the incidence of infection to zero in the next month by improving hygiene habits and enhancing immunity."

[0048] Step SB2: According to the specific nursing goals in step SB1, the nursing goals are sorted according to importance and urgency, and nursing goals with high importance and high urgency are given priority. Specifically, when evaluating the impact of each nursing goal on the user's overall health status, goals that directly affect life safety or seriously affect the quality of life are considered to be of high importance. When evaluating the urgency of nursing goals, that is, what consequences may occur if immediate measures are not taken. For example, pain management has a high degree of urgency because it directly affects the patient's quality of life. In other words, in the process of sorting nursing goals, a comprehensive score is given based on the importance score and the urgency score, that is, the specific scoring formula is as follows: ; in: A comprehensive score for nursing goals. is the weight of the importance score, Rate the importance of the nursing goals, is the weight of the urgency score, Rate the urgency of the nursing goals.

[0049] That is to say, according to the above comprehensive score calculation formula, the comprehensive score corresponding to each nursing goal is obtained, and according to the size of the comprehensive score, they are arranged in order from large to small. It is worth noting that the higher the comprehensive score, the more urgent the corresponding nursing goal needs to be handled.

[0050] Step SB3: According to the care goals sorted in step SB2, the care goals corresponding to the top comprehensive scores are prioritized. That is, according to the determined care goals, corresponding care strategies are formulated. For example, when the user is less active, the cleaning frequency can be increased during the user's rest time. When the user has specific health problems, the cleaning mode may need to be adjusted in a targeted manner. At the same time, according to the care strategy, a specific care plan is formulated, which includes a cleaning schedule, cleaning tools and cleaning methods, etc.

[0051] Furthermore, the improvement unit evaluates the care plan generated in the maintenance unit through user feedback and performance evaluation. And adjusts the care plan based on the evaluation results. The details are as follows: Step SC1: Collect user feedback through various channels to understand the implementation of the care plan and the actual experience of users. That is, collect user feedback through applications, questionnaires, online forums, etc. to understand the implementation of the care plan and the actual experience of users.

[0052] Step SC2: Use objective indicators (such as the success rate of the care plan execution, user satisfaction, etc.) and subjective indicators (such as the user's perception of the care effect) to evaluate the effectiveness of the care plan. Specifically, in terms of objective indicators, it is possible to monitor whether the execution frequency of the care plan meets expectations and the health improvement after care. In terms of subjective indicators, a questionnaire survey is conducted to understand the user's satisfaction with the care plan and their actual perception of the care effect.

[0053] Step SC3: Based on the feedback in step SC1 and the objective and subjective indicators in step SC2, identify the problems in the nursing plan, and determine the causes of the problems, including but not limited to design defects in the nursing plan, problems in the implementation process, etc. At the same time, determine the corresponding improvement measures based on the specific causes.

[0054] Specifically, when users report that the care plan is too complex to execute, the care steps can be simplified and clearer operation instructions can be provided. When the evaluation shows that the success rate of the care plan is not high, the feasibility of the care plan needs to be reviewed and the care strategy needs to be adjusted.

[0055] In this embodiment, the control module is used to automatically adjust the cleaning parameters, generate a cleaning report, and send an alarm signal when necessary according to the user's health index data. Specifically, the control module includes a threshold unit, a reporting unit, and an alarm unit. The threshold unit is used to pre-set the corresponding cleaning parameters and alarm parameters according to the care needs and the specific situation of the user. Specifically, the cleaning parameter includes a reference value and a threshold condition for triggering parameter adjustment. That is, it can automatically adjust the cleaning parameters, such as cleaning frequency, cleaning intensity, etc., according to the user's health index data, such as skin moisture, skin temperature, and activity level. In other words, when the user's skin moisture exceeds the preset threshold, the cleaning frequency can be increased. When the user's activity level is low, the cleaning intensity is reduced to avoid excessive cleaning causing skin damage. For example: set the cleaning frequency to twice a day, and each cleaning time is 5 minutes. When the skin moisture is monitored to exceed the preset threshold, the cleaning frequency is increased to three times a day.

[0056] Furthermore, the reporting unit is used to generate a cleaning report based on the adjusted cleaning parameters to provide the user with a detailed cleaning guide, wherein the cleaning report includes but is not limited to cleaning time, cleaning location, cleaning method, and the like.

[0057] Furthermore, when the alarm unit detects an abnormality in the user's health indicators, it will promptly send out an alarm signal to notify relevant personnel to take action. Specifically, when an abnormality in the health indicator is detected, that is, when the alarm parameter set in the threshold unit is reached, the alarm signal is triggered, and the alarm information can be sent to the user and caregiver through various means such as applications, text messages, and phone calls. In other words, when the user's skin temperature continues to rise and reaches the preset warning value, an alarm will be automatically sent to the caregiver. Reminders can also be sent to users through mobile phone applications to inform them of health risks and suggest that they contact medical professionals as soon as possible. For example: set the warning value for skin temperature to 37.5°C, and when the temperature continues to be higher than 37.5°C, an alarm is triggered.

[0058] In this embodiment, the visualization module includes an intuitive interface, which is used to allow users to easily view and manage their basic information, cleaning reports, cleaning operations, maintenance plans and alarm signals. Specifically, the visualization module allows users to enter and modify personal information, such as name, age, gender, contact information and health status. Further, the visualization module can display cleaning reports, cleaning operation schedules, maintenance plans and alarm signals of nursing equipment and corresponding treatment measures. Specifically, in this embodiment, cleaning reports can be displayed in the form of charts, lists, etc., such as: through line charts, bar charts, etc., to show the changing trend of cleaning frequency, evaluation of cleaning effects, etc., and display specific cleaning records in the form of lists, including but not limited to cleaning time, cleaning parts and cleaning methods. At the same time, the schedule of cleaning operations includes planned cleaning time and completed cleaning records. The maintenance plan of nursing equipment includes but is not limited to replacing filters, maintenance cycles, etc. It is worth noting that when the health index is abnormal, an alarm message will be displayed so that the user can quickly notice the abnormality of the health index. At the same time, when an abnormality occurs, the user can contact the caregiver in time to quickly handle the abnormal signal.

[0059] In this embodiment, the voice module combines VR technology and AR technology, performs tasks through voice commands, and guides cleaning operations through visual assistance, which can not only improve the convenience of users, but also enhance the accuracy and safety of the cleaning process. Specifically, the voice module includes an operation unit and a command unit. The command unit can capture the user's voice commands through a microphone component, and recognize the captured voice commands through natural language processing logic, and convert them into corresponding execution commands. For example: the user can start the cleaning program by saying "start cleaning" with voice.

[0060] Furthermore, the training unit can create an immersive environment through VR technology to help users better understand the cleaning process. That is, VR technology is used to create a simulated cleaning environment, including cleaning objects, cleaning tools, and cleaning locations. Through interactive tutorials, users can practice cleaning steps in a virtual environment and become familiar with the details of each step. At the same time, during the user's practice, real-time feedback can be provided to point out errors and give correction suggestions.

[0061] At the same time, the training unit also uses AR technology to overlay virtual information in the real world to guide users to perform precise cleaning operations. That is, through the combined use of AR technology, virtual information can be overlaid in the user's field of vision, such as cleaning step instructions, location identification of cleaning tools, etc. When the user performs actual cleaning operations, the AR application can display guidance information in real time, thereby ensuring that the user follows the correct steps.

[0062] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent urinary stoma cleaning system, characterized in that: Included are: A sensor module is used to check the user's stoma status and surrounding skin conditions, monitor the user's stoma status through images, and obtain the user's health indicator data; A self-cleaning module, used to perform an automated cleaning operation on the user's stoma through a self-cleaning component; A care module that dynamically adjusts cleaning modes and maintenance schedules based on the user's historical reference data, user activity level, and stoma needs; A control module, used to adjust cleaning parameters, generate cleaning reports, and issue alarm signals according to the user's health indicator data; The visualization module is used to set basic user information and visually display cleaning reports, cleaning operations, maintenance plans and alarm signals.

2. The intelligent urinary stoma cleaning system according to claim 1, characterized in that: Also included are: The voice module is used to execute the user's voice instructions based on VR technology and AR technology, and visually guide the cleaning operation.

3. The intelligent urinary stoma cleaning system according to claim 1, characterized in that: The sensor module includes but is not limited to an image recognition sensor, a temperature sensor, a humidity sensor, a biosensor, a pressure sensor, a position sensor, a chemical sensor, and a conductivity sensor; Image recognition sensors to identify color changes, swelling, and leakage in the stoma area; A temperature sensor for obtaining the skin temperature around the stoma; A moisture sensor to detect the moisture of the skin around the stoma; Biosensors, used to obtain health indicator data of users; A pressure sensor for obtaining the contact pressure between the stoma patch and the skin; a position sensor for obtaining the position of the stoma patch; Chemical sensors to determine the chemical composition of stoma secretions; Conductivity sensor to measure the electrical conductivity of the skin.

4. The intelligent urinary stoma cleaning system according to claim 1, characterized in that: The self-cleaning module comprises: A disinfection unit, used to sterilize the water spray component, the cleaning component and the liquid suction component, and the sterilization method is but not limited to ultraviolet disinfection, chemical disinfection and high-temperature steam disinfection; The cleaning component is sterilized by irradiation with an ultraviolet lamp and sterilized by high-temperature steam, and the water spray component and the liquid suction component are sterilized by spraying with a disinfectant or a cleaning liquid; A monitoring unit for displaying the current progress and completion progress of cleaning through a progress bar, a sensor and a timer; The progress bar is set in the visualization module, and the progress bar is filled as the cleaning process progresses. The sensor is used to obtain the water pressure, water flow speed and total water flow of the water spray assembly. The timer is used to set the required time for each cleaning step. The adjustment unit is used to adjust the cleaning time and frequency according to the user's daily activity pattern.

5. The intelligent urinary stoma cleaning system according to claim 4, characterized in that: The adjustment unit adjusts the cleaning time and frequency as follows: SA1: Obtain user activity data through wearable devices or health monitoring devices; SA2: Identify the user's activity pattern and predict the user's behavior pattern based on the user's activity data and machine learning model; SA3: Determine a cleaning plan corresponding to the user based on the user's behavior pattern.

6. The intelligent urinary stoma cleaning system according to claim 1, characterized in that: The nursing module includes: The data unit obtains the physiological data and external data of the user, and obtains the importance scores corresponding to the physiological data and the external data, and arranges them in descending order according to the importance scores, and selects the data starting from the first data according to the preset required number of data. The calculation formula of the importance score is specifically: ； in: is the i-th feature The corresponding importance score, is the total number of permutations, is the number of the current arrangement, is the performance of the model on the original dataset, is the dataset after the model is arranged for the jth time Performance on A processing unit, which determines the user's behavior pattern and health status through a data learning model and selected physiological data and external data, wherein the data learning model includes but is not limited to principal component analysis, linear discriminant analysis, supervised learning model and deep learning model; A maintenance unit, used to determine a care plan for the user based on the user's behavior pattern and health condition; Improvement unit, which is used to evaluate the care plan through user feedback and performance evaluation, and make adjustments to the care plan based on the evaluation results.

7. The intelligent urinary stoma cleaning system according to claim 6, characterized in that: The maintenance unit determines the user's care plan, which is as follows: SB1: Determine care goals based on the user’s behavior patterns and health status; SB2: Obtain the comprehensive score of the nursing goal, and sort the nursing goals corresponding to the comprehensive score in descending order according to the size of the comprehensive score. The calculation formula of the comprehensive score of the nursing goal is specifically: ； in: A comprehensive score for nursing goals. is the weight of the importance score, Rate the importance of the nursing goals, is the weight of the urgency score, rate the urgency of care goals; SB3: Based on the ranked nursing goals, prioritize the nursing strategies corresponding to the nursing goals ranked first, and formulate a nursing plan, which includes but is not limited to a cleaning schedule, cleaning tools and cleaning methods to be used.

8. The intelligent urinary stoma cleaning system according to claim 6, characterized in that: The care plan is adjusted through the improvement units as follows: SC1: Collect user feedback to determine the implementation of the care plan and the user's actual experience; SC2: Evaluate the effect of the nursing plan through objective indicators and subjective indicators. The objective indicators include but are not limited to the success rate of the nursing plan execution and user satisfaction. The subjective indicator evaluation includes but is not limited to the user's perception of the nursing effect. SC3: Based on the implementation of the nursing plan, the actual experience of the users, and the evaluation results of the nursing plan effect, determine the existing problems of the nursing plan, and based on the existing problems, determine improvement measures, which include but are not limited to simplifying nursing steps and readjusting nursing strategies.

9. The intelligent urinary stoma cleaning system according to claim 1, characterized in that: The control module includes: A threshold unit, which pre-sets cleaning parameters and alarm parameters according to care needs and specific conditions of the user, wherein the cleaning parameters include reference values ​​and threshold conditions for triggering parameter adjustment; A reporting unit, generating a cleaning report according to the adjusted cleaning parameters, wherein the cleaning report includes but is not limited to cleaning time, cleaning location and cleaning method; The alarm unit monitors the user's health indicators. When the health indicators are greater than the preset alarm parameters, the alarm message is sent to the user and the caregiver through the application, SMS and phone.

10. The intelligent urinary stoma cleaning system according to claim 2, characterized in that: The voice module includes: A command unit, used to capture the user's voice command and convert the voice command into an execution command through natural language processing logic; The training unit is used to create a simulated cleaning environment through VR technology and guide the cleaning operation through AR technology. The simulated cleaning environment includes but is not limited to cleaning objects, cleaning tools and cleaning positions, and the cleaning operations include but are not limited to cleaning step instructions and location identification of cleaning tools.

Images