Health detection closestool and intelligent analysis system

Abstract

The invention discloses a health detection toilet bowl and an intelligent analysis system. The health detection toilet bowl comprises an equipment end and a toilet bowl body used for detecting human health; the equipment end comprises a health detection module and a communication module; the health detection module is used for detecting the health state of the human body to obtain health data; the communication module is used for directly / indirectly uploading the data of the equipment end to a back-end server; the back end calls the data processing model to analyze the data and generates a result report; the result report comprises a detection report, an exception report, a prompt report and a consultation report; the data processing model is used for identifying the data provided by the server, retrieving the content of a knowledge base in the model and replying corresponding analysis data to the server; therefore, the problems that an existing intelligent closestool is limited in health detection function data processing capacity, lack of a health consultation function and the like are solved, and an intelligent and efficient health monitoring solution is provided for a user.

Description

Technical Field

[0001] The present invention relates to the technical field of sanitary wares, and particularly to a health detection toilet and an intelligent analysis system. Background Art

[0002] With the deepening of consumers' understanding and acceptance of intelligent toilets, and the popularization of the concept of smart home, the market scale of intelligent toilets is expected to continue to expand, and achieve interconnection and interoperability with other smart home devices, providing users with a convenient usage experience.

[0003] In particular, intelligent toilets with health detection functions such as urine tests have developed rapidly, with increasingly accurate detection results and more intelligent usage processes. Users only need to leave the toilet after using it to complete the detection. With the improvement of the health detection function of intelligent toilets, household users or enterprises are becoming more and more recognized, and the demand is also slowly increasing.

[0004] However, current health detection toilets, such as urine test functions, usually have a urine collection and detection device for collecting urine under the water seal. The urine collection and detection device usually has a detection hole that can communicate with the water seal of the toilet seat body, and a plug that can open or close the detection hole. Urine is collected through the detection hole and fully reacts with the test strip. The reaction result mainly relies on manual observation of the test strip and analysis of the urine health status.

[0005] Most existing intelligent toilet health detection modules lack intelligent data processing capabilities, are unable to deeply analyze the collected data and generate comprehensive reports. After users obtain the detection results, they still need to further consult a doctor for interpretation of the detection results and conduct health management under the guidance of a doctor. Summary of the Invention

[0006] To solve the above problems, the present invention provides a health detection toilet and an intelligent analysis system. By integrating a health detection module, a communication module, and an intelligent data processing model, the problems of limited data processing capabilities of existing intelligent toilet health detection functions and lack of health consultation functions are solved, providing users with an intelligent and efficient health monitoring solution.

[0007] To achieve the above object, the technical solution adopted by the present invention is as follows: An intelligent analysis system for a health detection toilet, comprising: A device end, which is a toilet for detecting human health; the device end includes a health detection module and a communication module; A health detection module, which is used to detect the human health status and obtain health data; A communication module that directly or indirectly uploads data from the device side to the backend server; the data includes at least one or several of device data, device exception data, device operation data, and health data, and the data includes forms such as text, audio, pictures, and videos; The backend includes a server that can call a data processing model to parse the data and generate a result report; the result report includes: a detection report generated corresponding to the health data, an exception report generated corresponding to the device exception data, a prompt report generated corresponding to the device operation data, and a consultation report corresponding to the consultation data; The data processing model identifies the data provided by the server, retrieves the content of the knowledge base in the model, and returns the corresponding parsed data to the server.

[0008] Preferably, it further includes a health data processing module for performing threshold processing on the health data, judging the health status of the health data according to a preset health threshold, and generating health data with a judgment result. The health data processing module is set on the device side or the backend.

[0009] Preferably, the data processing model includes: a local model and / or a public network model; The public network model uses a large language model; The local model includes a management model of the local knowledge base and / or a large language model of the local knowledge base.

[0010] Preferably, the server further includes a data classification module for classifying the data to be parsed received by the server: classifying the data into a simple reply category and a complex reply category, and / or a high privacy level category and a low privacy level category; The server transmits the data in the simple reply category and / or the high privacy level category to the local model for processing; the data in the complex reply category and / or the low privacy level category is transmitted to the public network model for processing.

[0011] Preferably, when the data processing model receives the health data transmitted by the server, it analyzes the health data through natural language processing technology, generates a health analysis and health advice as the parsed data and transmits it to the server, and the server generates a detection report.

[0012] Preferably, the server is also provided with a health data preprocessing module to perform at least one of the operations of removing invalid data, supplementing the user's historical health information, and supplementing the user's identity information before transmitting the health data to the data processing model; The data processing model combines gender, age, medical history, and real-time physiological parameters to generate dynamically adapted personalized health analysis and health advice; The personalized health analysis and health advice include at least one of diet adjustment, exercise plan, and medical consultation recommendation.

[0013] Preferably, the data processing model further includes a model dynamic update unit configured to dynamically adjust the parsing logic and recommendation generation rules of the large language model according to the latest medical guidelines or user health records.

[0014] Preferably, the health detection module includes an excrement detection module for detecting excrement to obtain health data of the excrement; The excrement detection module includes a urine detection unit and / or a feces detection unit. The urine detection unit collects urine component data through reagent reactions, and the feces detection unit collects feces component data through an image sensor or a chemical test strip. The health data includes urine component data, feces component data, and their reaction characteristics.

[0015] Preferably, the health detection module includes: A collection unit including a collection component and a reaction color block. The collection component is used to collect excrement or a mixture of excrement, and the reaction color block reacts with the excrement or the mixture of excrement and produces characteristic changes; A detection unit for identifying the characteristic changes to obtain health data; A driving unit for driving the collection unit into the inner cavity of the toilet ceramic to collect excrement or a mixture of excrement, and driving the collection unit to a detection position corresponding to the detection unit after the collection is completed.

[0016] Preferably, the server is also provided with a storage module for storing historical health data and performing associated health trend analysis based on the historical data; the storage module is also used to store the health analysis and health recommendations generated by the data processing model, and the result report generated by the server.

[0017] Preferably, the communication module and the server adopt an encryption protocol during data transmission; the server and the data processing model adopt an encryption protocol during data transmission.

[0018] Preferably, it further includes a front end for providing the result report to the user; the front end is set on the device side or is set independently of the device; the front end includes a display device or voice broadcast or a mobile terminal; the front end is communicatively connected to the back end and receives the result report of the server, and the data transmission between the front end and the server adopts an encryption protocol.

[0019] Preferably, the front end is provided with a user consultation module for receiving the consultation data of the user and sending the consultation data to the server; The server calls the data processing model to assist in processing according to the consultation data, the data processing model outputs corresponding parsing data for the consultation data, and the server generates a consultation report according to the corresponding parsing data.

[0020] Preferably, the user consultation module includes a consultation entrance through which a user can input or select consultation data, which includes various forms such as text, audio, pictures, videos, etc. When the health data is stored in the server, the health data is called as consultation data through the consultation entrance. The server uploads the health data to the data processing model for parsing and processing to generate a detection report, and transmits the detection report to the front end.

[0021] Preferably, the device end further includes a control main board which can control the start and stop of the health detection module; the control main board is further configured to trigger the toilet auxiliary function according to the health data and / or the result report output by the server, including: When detecting an abnormal health status or when the result report recommends disinfection and purification, automatically start the disinfection and flushing program, which includes cleaning the human body and / or flushing the toilet. And / or associate with the smart home system to adjust the indoor environment parameters to adapt to the user's health needs.

[0022] Preferably, the device end further includes an exception handling module for receiving the device exception data of the toilet, extracting the exception code in the device exception data, and sending the exception code to the server through the communication module. The server calls the data processing model for parsing and processing to generate an exception report, and transmits the exception report to the front end for display; the exception report includes an exception description, an exception cause, or an exception handling method.

[0023] Preferably, a relay device is further included. The device end uploads data to the server through the relay device. The relay device is one or several of a mobile terminal, a community management platform, and a home gateway, and the relay device has a data storage function.

[0024] In addition, the present invention further provides a health detection toilet which includes the intelligent analysis system described in any one of the above.

[0025] The beneficial effects of the present invention are: (1) Through the integration of multiple modules and intelligent processing, especially by calling the data processing model to parse the data to generate a health report, the present invention significantly improves the efficiency of health monitoring and the user experience, and provides personalized health suggestions and health reports in combination with user data, making up for the deficiencies of existing smart toilets in data processing and health consultation functions, and providing users with efficient and intelligent health management services.

[0026] (2) The data processing model of the present invention combines gender, age, medical history, and real-time physiological parameters to generate dynamically adapted personalized health analysis and health suggestions (such as diet adjustment, exercise plan, medical consultation recommendation). Through the intelligent data processing model, users can obtain personalized health suggestions without additional consultation with doctors, improving the efficiency and convenience of health management.

[0027] (3) The server of the present invention is provided with a data classification module, which classifies data into simple reply categories and complex reply categories, or high-privacy-level categories and low-privacy-level categories, and selects a local model or a public network model for processing according to the category. Through data classification and privacy level division, it can not only improve data processing efficiency but also protect the user's private data and ensure the security of sensitive information.

[0028] (4) The data processing model of the present invention includes a model dynamic update unit, which dynamically adjusts the parsing logic and suggestion generation rules according to the latest medical guidelines or user health records, can update medical knowledge in real time, ensure the scientificity and timeliness of health suggestions, and avoid misjudgment caused by knowledge lag.

[0029] (5) The communication module and server of the present invention adopt an encryption protocol during data transmission. The use of the encryption protocol ensures the security of data transmission, prevents the leakage of user health data, and improves the credibility of the system.

[0030] (6) The front end of the present invention is provided with a user consultation module. Users can input consultation data in the forms of text, audio, pictures, videos, etc. The server calls the data processing model to generate a consultation report. Users can directly interact with the system through the front end to obtain real-time health consultation and analysis results, improving the user experience.

[0031] (7) The server of the present invention is provided with a storage module for storing historical health data and conducting health trend analysis based on the historical data. Through the storage and analysis of long-term health data, users can understand the change trend of their own health and provide a scientific basis for long-term health management.

[0032] (8) The device end of the present invention can be associated with the smart home system, and adjust the indoor environment parameters according to health data to adapt to the user's health needs. Through the linkage with the smart home system, users can obtain a more comprehensive health management experience, such as automatically adjusting the indoor temperature, humidity, etc. according to health data.

[0033] (9) The device end of the present invention includes an exception handling module, which can receive the device exception data (exception code) of the toilet and generate an exception report, eliminating the need for users to manually query the meaning of the exception code and consult the manufacturer's solution for the exception code, thus making the handling efficiency of exception matters higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings described herein are used to provide a further understanding of the present invention and form a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings: Figure 1 It is a schematic diagram of the framework structure of the intelligent analysis system of a health detection toilet according to the present invention; Figure 2 It is a schematic diagram of the internal structure and external connection relationship of the device end of the intelligent analysis system of a health detection toilet according to the present invention; Figure 3 It is a processing flow chart in which the detection results of the intelligent analysis system of a health detection toilet according to the present invention are directly parsed by the model; Figure 4 It is a processing flow chart in which the detection results of the intelligent analysis system of a health detection toilet according to the present invention are indirectly parsed by the model; Figure 5 It is an exception handling flow chart of the exception handling module of the intelligent analysis system of a health detection toilet according to the present invention; Figure 6 It is a processing flow chart for handling complex consultation questions of the user consultation module of the intelligent analysis system of a health detection toilet according to the present invention; Figure 7 It is a processing flow chart for handling equipment consultation questions of the user consultation module of the intelligent analysis system of a health detection toilet according to the present invention. Detailed implementation manners

[0035] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0036] As Figure 1 shown, an intelligent analysis system of a health detection toilet according to the present invention includes: A device end, which is a toilet for detecting human health; the device end includes a health detection module and a communication module; A health detection module, which is used to detect the human health status and obtain health data; A communication module, which directly / indirectly uploads the data of the device end to the server at the back end; the data includes at least one or several of device data, device exception data, device operation data, and health data, and the data includes forms such as text, audio, pictures, and videos; A back end, including a server, which can call a data processing model to parse the data and generate a result report; The result report includes at least the test report generated corresponding to the health data, the abnormality report generated corresponding to the equipment abnormality data, the prompt report generated corresponding to the equipment operation data, the consulting report corresponding to the consulting data, etc.

[0037] The data processing model identifies the data provided by the server, retrieves the content of the knowledge base within the model, and replies the corresponding parsed data to the server.

[0038] In this embodiment, the communication module uploads the data on the device side directly to the back-end server. In other embodiments, the communication module uploads the data on the device side indirectly to the back-end server, and specifically also includes a transfer device. The device side uploads the data to the server through the transfer device. The transfer device is one or more of a mobile terminal, a cell management platform, and a home gateway, and the transfer device has a data storage function.

[0039] The following is a detailed description of each module: Device side (toilet): As the device end of the entire system, the smart toilet is the part that the user directly contacts and is responsible for collecting the user's health data.

[0040] The device terminal module includes: Communication module: The communication module uploads the data on the device side to the back-end server.

[0041] The communication module is connected to the health detection module on the one hand to receive health data; on the other hand, it is connected to the server to transmit data to the server.

[0042] The communication method can be Wi-Fi, NB-IoT, Bluetooth, and ZigBee is preferably used to link with other smart home devices to build a smart home network.

[0043] Health detection module: The health detection module is used to detect the health status of the human body and obtain health data.

[0044] The health detection module includes an excrement detection module for detecting excrement and obtaining health data of the excrement; a heart rate, blood oxygen, electrocardiogram, pulse graph and other detection modules; and a human body impedance and human body composition detection module; The excrement detection module includes a urine detection unit and / or a feces detection unit. The urine detection unit collects urine component data through reagent reaction, and the feces detection unit collects feces component data through an image sensor or chemical test paper. The health data includes urine component data, feces component data and their reaction characteristics.

[0045] like Figure 2As shown in the figure, the intelligent toilet includes a communication module and a health detection module. The intelligent toilet is connected to the server through the communication module, and is responsible for uploading the collected health data to the server. On the one hand, the communication module is connected to the health detection module to receive health data; on the other hand, it is connected to the server to transmit the data to the server.

[0046] The health detection module is used to collect excrement or a mixture of excrement, and detect the human health status to obtain health data. The health detection module includes: A collection unit, including a collection component and a reaction color block. The collection component is used to collect excrement or a mixture of excrement, and the reaction color block reacts with the excrement or a mixture of excrement and generates a characteristic change; A detection unit, used to identify the characteristic change to obtain health data; A driving unit, used to drive the collection unit into the inner cavity of the toilet ceramic to collect excrement or a mixture of excrement, and drive the collection unit to the detection position corresponding to the detection unit after the collection is completed.

[0047] The collection unit is connected to the driving unit and is controlled by the driving unit to move. The detection unit is used to detect the collection unit to obtain health data. The health detection module is connected to the server through the communication module and uploads the health data to the server.

[0048] The working process of the health detection module is as Figure 3 shown: The device side starts the health check module to collect the human health data; the device side uploads the health data to the server through the communication module; the server classifies according to the content of the data and transmits the health data to the corresponding data processing model for processing; the data processing model analyzes the health data through natural language processing technology and generates health analysis and health suggestions; the data processing model transmits the generated health analysis and health suggestions as parsed data to the server, and the server generates a detection report; the server transmits the detection report to the front end, and the front end displays the detection report to the user, and the detection ends.

[0049] Or, the following scheme can also be adopted as Figure 4 shown: The device side starts the health check module to collect the human health data; the device side uploads the health data to the server through the communication module, and the server stores the health data; the consultation module on the front end sends a consultation application to the server and consults with the stored health data as consultation data; the server calls the stored health data and transmits it to the corresponding data processing model for processing; the data processing model analyzes the health data through natural language processing technology and generates health analysis and health suggestions; the data processing model transmits the generated health analysis and health suggestions as parsed data to the server, and the server generates a detection report; the server transmits the detection report to the front end, and the front end displays the detection report to the user, and the detection ends.

[0050] Figure 3 The main difference between Process and Figure 4 the main process lies in: Figure 3 In Process, after the data is uploaded, it is directly processed, which is suitable for scenarios that require real-time monitoring and quick feedback. The data processing is automated and users do not need to perform additional operations. Figure 4 In Process, after the data is uploaded, it will be stored first and wait for the request from the front end before being processed. This is suitable for scenarios that require on-demand analysis and result display. The data processing is based on user requests and is suitable for the situation where users actively view the results.

[0051] Specifically, the intelligent toilet is provided with a detection hole (not shown), and the collection component can extend out of the detection hole to collect excrement. The intelligent toilet further includes a water seal emptying module, which is connected to the health detection module and is used to empty the toilet water seal before detection so that the collection component can extend out of the detection hole for collection, ensuring the accuracy of detection.

[0052] The device side further includes a control main board, which can control the start and stop of the health detection module; the control main board is also configured to trigger the toilet auxiliary function according to the health data and / or the result report output by the server, including: When detecting an abnormal health status or the result report recommends disinfection and purification, automatically start the disinfection and flushing program, and the disinfection and flushing program includes cleaning the human body and / or flushing the toilet; and / or associate with the smart home system to adjust the indoor environment parameters to adapt to the user's health needs.

[0053] The intelligent toilet further includes hardware sensors for detecting the operating status of the toilet, such as temperature, water pressure, flow rate, human detection, etc. The hardware sensors are connected to the communication module and upload the detected hardware status data to the server.

[0054] The device side further includes an exception handling module for receiving the device exception data of the toilet, extracting the exception code in the device exception data, and sending the exception code to the server through the communication module. The server calls the data processing model for parsing and processing, generates an exception report, and transmits the exception report to the front end for display. The exception report includes exception descriptions, exception causes, or exception handling, etc.

[0055] Such as Figure 5As shown in the figure, the exception handling process of the exception handling module mainly includes: during the operation of the device (smart toilet), the sensor detects abnormal device data, and the communication module uploads the abnormal device data to the server; the classification module of the server classifies the abnormal device data and transmits the data to the local model for processing; the local model retrieves the content of the knowledge base in the model and generates corresponding parsing data, and the local model transmits the parsing data to the server, and the server generates an exception report; the server transmits the exception report to the front end, the front end displays the exception report to the user, the server sends the exception handling data in the exception report to the device end, and the device end performs corresponding operations according to the device exception handling data.

[0056] Through the above process, when the smart toilet detects an abnormality, the communication module of the smart toilet uploads the abnormal device data to the server, and finally the server generates an exception report and displays it to the user. This process ensures the efficiency and accuracy of exception handling and helps users quickly solve problems in the operation of the smart toilet.

[0057] Backend (server): The backend receives data from the device end, calls the data processing model to parse the data, and generates a result report.

[0058] The backend sub-modules include: Data processing model: Identify the data provided by the server, retrieve the content of the knowledge base in the model, and reply with the corresponding parsing data to the server; Health data processing module: Used to perform threshold processing on the health data, judge the health status of the health data according to the preset health threshold, and generate health data with a judgment result; the health data processing module can be set at the device end or the backend; Health data preprocessing module: Before transmitting the health data to the data processing model, perform at least one of the operations of removing invalid data, supplementing the user's historical health information, and supplementing the user's identity information; Storage module: Used to store historical health data and perform associated health trend analysis based on the historical data; Data classification module: Classify the data to be parsed received by the server. The data is divided into simple reply categories and complex reply categories, and / or high privacy level categories and low privacy level categories.

[0059] The backend receives data from the smart toilet through the communication module; is connected to the data processing model for data parsing; is connected to the storage module for data storage and historical data analysis; is connected to the data classification module for data classification processing; is connected to the front end and transmits the processed result report to the front end for display.

[0060] Specifically: The processing of health data includes the following steps: First, the health data processing module obtains raw health data from the health detection module. This data may include urine component data, fecal component data, heart rate, blood oxygen, electrocardiogram, body impedance, etc. The collected data is in a unified format and meets the requirements of subsequent processing, such as being stored in a structured data format (such as JSON, XML, etc.). Invalid data or noise data is removed, for example, filtering out obviously incorrect measurement values or missing values.

[0061] Then, a series of health thresholds are set according to medical standards and the specific situation of the user (such as age, gender, medical history, etc.). These thresholds can be fixed or dynamically adjusted. For example, for the glucose content in urine, the normal range may be set to 0 - 0.8 mmol / L. For heart rate, the normal range may be set to 60 - 100 beats per minute.

[0062] Define the normal range, warning range, and danger range for each health indicator. For example: Normal range: Data within this range indicates good health.

[0063] Warning range: Data exceeds the normal range but has not reached a dangerous level, and the user needs to pay attention.

[0064] Danger range: Data seriously exceeds the normal range, which may indicate a health problem and needs to be dealt with promptly.

[0065] Compare the preprocessed health data with the preset health thresholds item by item. According to the comparison results, judge the health status of each health indicator: If the data is within the normal range, mark it as "normal".

[0066] If the data is within the warning range, mark it as "warning".

[0067] If the data is within the danger range, mark it as "dangerous".

[0068] Finally, integrate the judgment results of all health indicators into health data: Mark the abnormal indicators, record the specific abnormal values and ranges; according to the abnormal indicators, combined with the analysis of the medical knowledge base or large model, generate health analysis and health suggestions, such as diet adjustment, exercise plan, or medical consultation recommendation.

[0069] The storage module can also store the health analysis and health suggestions generated by the data processing model and the result reports generated by the server.

[0070] The communication module and the server adopt an encryption protocol during data transmission; the server and the data processing model adopt an encryption protocol during data transmission.

[0071] Both the server and the data processing model contain corresponding encryption and decryption modules respectively: Server: During the process of transmitting data to the data processing model, the encryption module performs encryption processing; during the process of the data processing model receiving the server data, the decryption module performs decryption processing, and then data parsing is carried out after decryption.

[0072] Data processing model: During the process of transmitting the parsed data to the server, the encryption module performs encryption processing; during the process of the server receiving the data from the data processing model, the decryption module performs decryption processing.

[0073] The data processing model includes: a local model and / or a public network model.

[0074] The public network model is a large language model; such as DeepSeek, ChatGPT, etc.; The local model includes a management model of the local knowledge base and / or a large language model of the local knowledge base.

[0075] The local knowledge base management model does not have an artificial intelligence model and can only complete fixed-structure format data Q&A. It realizes fixed Q&A for the parameters of this device, product introduction of the device series, relevant knowledge content of the enterprise, and health data; The large language model belongs to the artificial intelligence model and can provide intelligent key information extraction or concept recognition for unstructured data and generate high-quality summaries or answers.

[0076] The knowledge base of the public network large language model is larger than that of the local large language model; The server transmits data of simple reply categories and / or high privacy level categories to the local model for processing; data of complex reply categories and / or low privacy level categories are transmitted to the public network model for processing.

[0077] When the data processing model receives the health data transmitted by the server, it parses the health data through natural language processing technology, generates health analysis and health suggestions as the parsed data and transmits it to the server, and the server generates a detection report.

[0078] The data processing model combines gender, age, medical history and real-time physiological parameters to generate dynamically adapted personalized health analysis and health suggestions.

[0079] The personalized health analysis and health suggestions include at least one of diet adjustment, exercise plan, and medical consultation recommendation.

[0080] The data processing model further includes a model dynamic update unit configured to dynamically adjust the parsing logic and recommendation generation rules of the large language model according to the latest medical guidelines or the user's health record. For example, the health threshold is updated regularly according to the user's health history and the latest medical guidelines.

[0081] Front end: The front end is used to provide the result report to the user; the front end can be set on the device side or set independently relative to the device; the front end includes a display device, voice broadcast, or mobile terminal; The front end is communicatively connected to the back end and receives the result report from the server. The data transmission between the front end and the server uses an encryption protocol.

[0082] The front end sub-module includes: Display device: used to display the result report; Voice broadcast: used for the result report in voice form; Mobile terminal: receives and displays the result report through a mobile device; User consultation module: used to receive the user's consultation data and send the consultation data to the server.

[0083] The server calls the data processing model to assist in processing according to the consultation data. The data processing model outputs corresponding parsing data for the consultation data, and the server generates a consultation report according to the corresponding parsing data.

[0084] The user consultation module includes a consultation entry. The user can input or select consultation data at the consultation entry. The consultation data includes various forms such as text, audio, pictures, and videos.

[0085] When the health data is stored in the server, the health data is called as consultation data through the consultation entry. The server uploads the health data to the data processing model for parsing and generating a detection report, and transmits the detection report to the front end.

[0086] As Figure 6 shown, the consultation complex problem processing process of the user consultation module mainly includes: the user inputs consultation data through the consultation entry of the front end and sends a consultation request; the front end sends the consultation data to the server; the server classifies the data according to the content and transmits the consultation data to the corresponding data processing model for processing; the data processing model parses the consultation data through natural language processing technology to generate parsing data; the data processing model transmits the parsing data to the server, and the server generates a consultation report; the server transmits the consultation report to the front end, and the front end displays the consultation report to the user, and the consultation ends.

[0087] As Figure 7As shown, the process for handling complex consultation questions in the consultation module mainly includes: the user inputs consultation data through the front-end consultation entry and sends a consultation request; the front-end sends the consultation data to the server; the classification module of the server classifies the data and converts the content related to the device end in the consultation data into a query instruction for transmission to the device end; the device end replies with corresponding device data to the server according to the query instruction; the server integrates the consultation data and the device data and transmits the data to the local model for processing; the local model retrieves the content of the knowledge base in the model and generates corresponding parsing data; the local model transmits the parsing data to the server, and the server generates a consultation report; the server transmits the consultation report to the front-end, and the front-end displays the consultation report to the user, and the consultation ends.

[0088] In addition, the present invention also provides a health detection toilet, which includes the aforementioned intelligent analysis system, and its working principle is similar to that of the foregoing embodiment, and will not be elaborated here.

[0089] The above description shows and describes the preferred embodiments of the present invention. As mentioned above, it should be understood that the present invention is not limited to the form disclosed herein, should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be changed within the scope of the inventive concept described herein through the above teachings or the technology or knowledge in the relevant field. And any changes and modifications made by those skilled in the art without departing from the spirit and scope of the present invention shall fall within the protection scope of the appended claims of the present invention.

Claims

1. An intelligent analysis system for a health detection toilet, characterized in that: include: On the equipment side, a toilet for testing human health; The device end includes a health detection module and a communication module; The health detection module is used to detect the health status of the human body and obtain health data; The communication module directly or indirectly uploads the data on the device side to the back-end server; the data includes at least one or more of the device data, device abnormality data, device operation data, and health data; The backend, including the server, can call the data processing model to analyze the data and generate result reports; the result reports include: the detection report generated corresponding to the health data, the abnormality report generated corresponding to the equipment abnormality data, the prompt report generated corresponding to the equipment operation data, and the consulting report corresponding to the consulting data; The data processing model identifies the data provided by the server, retrieves the content of the knowledge base within the model, and replies the corresponding parsed data to the server.

2. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: It also includes a health data processing module, which is used to perform threshold processing on the health data, judge the health status of the health data according to a preset health threshold, and generate health data with the judgment result. The health data processing module is set on the device side or the back end.

3. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: Data processing models include: local model and / or public network model; The public network model uses a large language model; The local model includes a management model of the local knowledge base and / or a large language model of the local knowledge base.

4. The intelligent analysis system for health detection toilet according to claim 3 is characterized by: The server further comprises a data classification module, which classifies the data to be parsed received by the server: classifies the data into a simple reply category and a complex reply category, and / or a high privacy level category and a low privacy level category; The server transmits data of simple response category and / or high privacy level category to the local model for processing; and transmits data of complex response category and / or low privacy level category to the public network model for processing.

5. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: When the data processing model receives the health data transmitted by the server, it parses the health data through natural language processing technology, generates health analysis and health suggestions as the parsed data and transmits them to the server, and the server generates a detection report.

6. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: The server is also provided with a health data preprocessing module, which performs at least one of the following operations: eliminating invalid data, supplementing the user's historical health information, and supplementing the user's identity information before transmitting the health data to the data processing model; The data processing model combines gender, age, medical history and real-time physiological parameters to generate dynamically adapted personalized health analysis and health recommendations; The personalized health analysis and health advice include at least one of diet adjustment, exercise plan, and medical consultation recommendation.

7. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: The data processing model also includes a model dynamic updating unit, which is configured to dynamically adjust the parsing logic and suggestion generation rules of the large language model according to the latest medical guidelines or user health records.

8. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: The health detection module includes an excrement detection module, which is used to detect excrement and obtain health data of the excrement; The excrement detection module includes a urine detection unit and / or a feces detection unit. The urine detection unit collects urine component data through reagent reaction, and the feces detection unit collects feces component data through an image sensor or chemical test paper. The health data includes urine component data, feces component data and their reaction characteristics.

9. The intelligent analysis system for health detection toilet according to claim 8, characterized in that: The health detection module includes: A collection unit, comprising a collection component and a reaction color block, wherein the collection component is used to collect excrement or a mixture of excrement, and the reaction color block reacts with the excrement or the mixture of excrement and produces characteristic changes; A detection unit, used to identify the characteristic changes and obtain health data; The driving unit is used to drive the collecting unit to enter the ceramic inner cavity of the toilet to collect excrement or a mixture of excrement, and after the collection is completed, drive the collecting unit to a detection position corresponding to the detection unit.

10. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: The server is also provided with a storage module for storing historical health data and performing associated health trend analysis based on the historical data; the storage module is also used to store health analysis and health recommendations generated by the data processing model, and result reports generated by the server.

11. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: The communication module and the server use encryption protocols during data transmission; the server and the data processing model use encryption protocols during data transmission.

12. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: It also includes a front end for providing result reports to users; the front end is set on the device end or is independently set relative to the device; the front end includes a display device or a voice broadcast or a mobile terminal; the front end is communicatively connected with the back end and receives the result report of the server, and the data transmission between the front end and the server adopts an encryption protocol.

13. The intelligent analysis system for health detection toilet according to claim 12, characterized in that: The front end is provided with a user consultation module, which is used to receive the user's consultation data and send the consultation data to the server; The server calls the data processing model to assist in processing according to the consulting data. The data processing model outputs corresponding analytical data for the consulting data, and the server generates a consulting report according to the corresponding analytical data.

14. The intelligent analysis system for health detection toilet according to claim 13, characterized in that: The user consultation module includes a consultation portal, where the user can input or select consultation data; When the health data is stored in the server, the health data is called as consulting data through the consulting portal, and the server uploads the health data to the data processing model for analysis and processing to generate a test report, and transmits the test report to the front end.

15. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: The device end also includes a control mainboard, which can control the start and stop of the health detection module; The control mainboard is further configured to trigger a toilet auxiliary function according to the health data and / or the result report output by the server, including: When an abnormal health status is detected or the result report recommends sterilization and purification, the sterilization and flushing program is automatically started, and the sterilization and flushing program includes washing the human body and / or flushing the toilet; And / or associated with smart home systems to adjust indoor environmental parameters to suit user health needs.

16. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: The device side also includes an exception handling module, which is used to receive the equipment abnormality data of the toilet, and extract the abnormality code in the equipment abnormality data, and send the abnormality code to the server through the communication module. The server calls the data processing model for analysis and processing, generates an abnormality report, and transmits the abnormality report to the front end for display; the abnormality report includes an abnormality description, abnormality cause, or abnormality handling.

17. The intelligent analysis system for health detection toilet according to claim 1, characterized in that: It also includes a transfer device, and the device end uploads the data to the server through the transfer device. The transfer device is one or more of a mobile terminal, a community management platform, and a home gateway, and the transfer device has a data storage function.

18. A health detection toilet, characterized in that: An intelligent analysis system comprising any one of claims 1 to 17.

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