Operation recommendation system for adjusting APP control panel by intelligent moxibustion robot
Through the intelligent moxibustion robot adjustment APP control panel operation recommendation system, the skin scald problem caused by improper operation of existing moxibustion robots is solved, and a safe and comfortable moxibustion operation is achieved, suitable for different groups of people, and storage of historical usage data and user identity information is provided.
Patent Information
- Application Number
- CN202510288024.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-12
- Publication Date
- 2025-06-27
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing moxibustion robots may cause skin burns when they are improperly operated or inaccurate temperature control, especially for people with sensitive skin or insensitive skin. They are more likely to be unaware of the scalds, which will lead to more serious skin damage problems.
Design an intelligent moxibustion robot adjustment APP control panel operation recommendation system, including input unit, requirement search unit, construction database, central processing unit, processing analysis unit, recommendation determination unit, data update unit and feedback unit. The system uses a touch screen and a microphone to input demand, and uses voice recognition technology, database storage, timing module and alarm module to provide safe and comfortable moxibustion operation suggestions.
Through the use of this system, skin scalding can be effectively avoided, the safety and comfort of the operation can be improved, suitable for different groups of people, and storage of historical usage data and user identity information is provided for convenient reference for subsequent use.
Smart Images

Figure CN120215770A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent moxibustion robots, and particularly to an intelligent moxibustion robot adjustment APP control panel operation recommendation system. Background Art
[0002] An intelligent moxibustion robot is an innovative product integrating traditional moxibustion and modern technology, aiming to provide efficient and convenient moxibustion services through automated and intelligent means.
[0003] If the existing moxibustion robots are operated improperly or the instrument temperature control is inaccurate, it may cause skin burns. Especially for people with relatively sensitive or insensitive skin, it is easier to get burned without knowing it, which may further lead to more serious skin damage problems and is not convenient for intelligent operation. Therefore, we propose an intelligent moxibustion robot adjustment APP control panel operation recommendation system. Summary of the Invention
[0004] The purpose of the present invention is to provide an intelligent moxibustion robot adjustment APP control panel operation recommendation system to solve the problems mentioned in the above background art.
[0005] The present invention specifically adopts the following technical solutions to achieve the above purpose:
[0006] An intelligent moxibustion robot adjustment APP control panel operation recommendation system, comprising:
[0007] An input unit, which is used for inputting the needs of the user;
[0008] A demand retrieval unit, which is used for receiving the demand information input by the input unit, and performing retrieval and demand request commands;
[0009] A database construction unit, which is used for establishing a user database and a historical usage database;
[0010] A central processing unit, which is used for receiving the demand information sent by the demand retrieval unit and sending demand commands;
[0011] A processing and analysis unit, which is used for receiving the demand commands sent by the central processing unit and analyzing them to select the satisfied usage needs;
[0012] A recommendation determination unit, which is used for determining demand instructions and making recommendations;
[0013] A data update unit, which is used for collecting the recommendation commands recommended by the recommendation determination unit and performing real-time data updates, uploading the real-time data to the database for real-time storage
[0014] Feedback unit: The feedback unit is used to provide feedback on the user's usage effect, upload the feedback information to the database for storage.
[0015] Further, the input unit includes: a touch screen and a microphone. The touch screen is used for inputting text requirements, and the microphone is used for inputting language requirements. The microphone converts the recognized speech into text information based on speech recognition technology.
[0016] Further, the requirement retrieval unit is signal-connected to the database.
[0017] Further, the database construction includes: historical usage data and user identity information. The historical usage data is used for storing historical usage data, and the user identity information is used for storing identity information.
[0018] Further, the central processing unit is built-in with a signal transceiver module and a data storage module. Among them, the signal transceiver module is used to receive the requirement request command sent by the requirement retrieval unit and send the requirement request command to the processing and analysis unit. The data storage module is used to store the requirement request sent by the requirement retrieval unit.
[0019] Further, the central processing unit includes a timing module and an alarm module. Among them, the timing module performs timing of the treatment time based on a timing table. The alarm module is electrically connected to the timing module, and the alarm module is used to give an alarm after the timing is completed.
[0020] Further, the central processing unit also includes a judgment module and a display module. Among them, the judgment module is used to judge whether the requirement command exists in the database, and the display module is used to display the result of the judgment module.
[0021] Further, the processing and analysis unit includes the following steps:
[0022] A1. Data collection: Collect the pre-stored data in the database;
[0023] A2. Data comparison: Calculate the correlation degree between the requirement request and the pre-stored data;
[0024] A3. Analysis and processing: Recommend the function operation with the highest correlation degree with the current requirement according to the correlation degree of the data comparison;
[0025] A4. Result sending: Send a recommendation command according to the result of the function operation with the highest correlation degree.
[0026] Further, the recommendation determination unit includes the following steps:
[0027] B1. Command acquisition: Acquire the recommended command sent by the processing and analysis unit;
[0028] B2. Command determination: Determine the function operation type with the highest relevance to the current requirement;
[0029] B3. Command sending: Send the operation command.
[0030] Furthermore, the feedback unit includes a ranging module, a temperature sensor, an adjustment module, and a reset module. Among them, the ranging module is used to monitor the safe distance; the temperature sensor is used to monitor the real-time usage temperature; the adjustment module is used to adjust the real-time distance; the reset module is used to reset the robot.
[0031] The beneficial effects of the present invention are as follows:
[0032] 1. The touch screen of the present invention is used for inputting text requirements, and the microphone is used for inputting language requirements. Moreover, the microphone converts the recognized speech into text information based on speech recognition technology. With the cooperation of the touch screen and the microphone, it can meet the usage purposes of different people, improve applicability. The historical usage data is used for storing historical usage data and storing historical records, providing a reference source for subsequent usage; the user identity information is used for storing identity information, enabling a clearer understanding of the usage records of the user.
[0033] 2. The ranging module of the present invention is used to monitor the safe distance, which can ensure safety during use and avoid scalding; the temperature sensor is used to monitor the real-time usage temperature, which can find a comfortable usage temperature and ensure usage comfort; the adjustment module is used to adjust the real-time distance, and its cooperation with the ranging module can further improve safety; the reset module is used to reset the robot, facilitating operation.
[0034] 3. The signal transceiver module of the present invention is used to receive the demand request command sent by the demand retrieval unit and send the demand request command to the processing and analysis unit. The data storage module is used to store the demand request sent by the demand retrieval unit. The timing module performs timing of the treatment time based on the timing table. The alarm module is electrically connected to the timing module, and the alarm module is used to implement the alarm after the timing is completed. The judgment module is used to judge whether the demand command exists in the database, and the display module is used to display the result of the judgment module. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] Figure 1 is the flow diagram of the present invention;
[0036] Figure 2 is the working flow chart of the processing and analysis unit in the present invention;
[0037] Figure 3It is the workflow diagram of the recommended determination unit in the present invention. Detailed implementation manners
[0038] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
[0039] Please refer to Figure 1 - Figure 3 , the present invention provides an intelligent moxibustion robot adjustment APP control panel operation recommendation system, including:
[0040] An input unit, which is used for inputting the needs of the user;
[0041] A demand retrieval unit, which is used for receiving the demand information input by the input unit, and performing retrieval and demand request commands;
[0042] A database is constructed, which is used for establishing a user database and a historical usage database;
[0043] A central processing unit, which is used for receiving the demand information sent by the demand retrieval unit, and sending demand commands;
[0044] A processing and analysis unit, which is used for receiving the demand commands sent by the central processing unit, and analyzing them to select the satisfied usage requirements;
[0045] A recommended determination unit, which is used for determining demand instructions and making recommendations;
[0046] A data update unit, which is used for collecting the recommendation commands of the recommended determination unit, and performing real-time data update, uploading the real-time data to the database for real-time storage
[0047] A feedback unit: The feedback unit is used for feedback on the usage effect of the user, and uploading the feedback information to the database for storage.
[0048] In this embodiment, preferably, the input unit includes: a touch screen and a microphone. The touch screen is used for inputting text requirements, and the microphone is used for inputting language requirements. And the microphone converts the recognized speech into text information based on speech recognition technology; With the cooperation of the touch screen and the microphone, the usage purposes of different groups of people can be satisfied, and the applicability can be improved.
[0049] In this embodiment, preferably, the demand retrieval unit is signal-connected to the database; The content searched by the demand retrieval unit is searched in the content of the database, and demand retrieval and matching can be performed in the database.
[0050] In this embodiment, preferably, the constructed database includes historical usage data and user identity information. The historical usage data is used to store the historical usage data, store the historical records, and provide a reference source for subsequent usage. The user identity information is used to store the identity information, enabling a clearer understanding of the usage records of the user.
[0051] In this embodiment, preferably, the central processing unit is built-in with a signal transceiver module and a data storage module. Among them, the signal transceiver module is used to receive the demand request command sent by the demand retrieval unit and send the demand request command to the processing and analysis unit. The data storage module is used to store the demand request sent by the demand retrieval unit.
[0052] In this embodiment, preferably, the central processing unit includes a timing module and an alarm module. Among them, the timing module is based on the timing table to time the treatment time. The alarm module is electrically connected to the timing module, and the alarm module is used to implement the alarm after the timing is completed.
[0053] In this embodiment, preferably, the central processing unit further includes a judgment module and a display module. Among them, the judgment module is used to judge whether the demand command exists in the database, and the display module is used to display the result of the judgment module.
[0054] In this embodiment, preferably, the processing and analysis unit includes the following steps:
[0055] A1. Data collection: Collect the pre-stored data in the database;
[0056] A2. Data comparison: Calculate the correlation degree between the demand request and the pre-stored data;
[0057] A3. Analysis and processing: Recommend the function operation with the highest correlation degree with the current demand according to the correlation degree of the data comparison;
[0058] A4. Result sending: Send the recommendation command according to the result of the function operation with the highest correlation degree.
[0059] In this embodiment, preferably, the recommendation determination unit includes the following steps:
[0060] B1. Command acquisition: Acquire the recommendation command sent by the processing and analysis unit;
[0061] B2. Command determination: Determine the type of function operation with the highest correlation degree with the current demand;
[0062] B3. Command sending: Send the operation command.
[0063] In this embodiment, preferably, the feedback unit includes a ranging module, a temperature sensor, an adjustment module, and a reset module. Among them, the ranging module is used to monitor the safety distance, which can ensure safety during use and avoid scalding. The temperature sensor is used to monitor the real-time use temperature, which can find a comfortable use temperature and ensure use comfort. The adjustment module is used to adjust the real-time distance, and its cooperation with the ranging module can further improve safety. The reset module is used to reset the robot, which is convenient for operation.
[0064] The working principle and usage process of the present invention:
[0065] Input unit, the input unit is used to input the user's needs. The input unit includes: a touch screen and a microphone. The touch screen is used to input text needs, and the microphone is used to input language needs. And the microphone converts the recognized voice into text information based on voice recognition technology
[0066] Demand retrieval unit, the demand retrieval unit is used to receive the demand information input by the input unit, and perform retrieval and demand request commands; the demand retrieval unit is signal-connected to the database, and can realize the real-time comparison of the data between the demand retrieval unit and the database.
[0067] Build a database, the database is used to establish a user database and a historical usage database; the database construction includes: historical usage data and user identity information. The historical usage data is used to store historical usage data, and the user identity information is used to store identity information. With the function of the database, the storage of historical usage data and user identity information can be realized.
[0068] Central processing unit, the central processing unit is used to receive the demand information sent by the demand retrieval unit and send demand commands; the central processing unit is built-in with a signal transceiver module and a data storage module. Among them, the signal transceiver module is used to receive the demand request command sent by the demand retrieval unit and send the demand request command to the processing and analysis unit, and the data storage module is used to store the demand request sent by the demand retrieval unit; the central processing unit includes a timing module and an alarm module. Among them, the timing module performs the timing of the treatment time based on a timer, and the alarm module is electrically connected to the timing module. The alarm module is used to realize the alarm after the timing is completed; the central processing unit also includes a judgment module and a display module. Among them, the judgment module is used to judge whether the demand command exists in the database, and the display module is used to display the result of the judgment module.
[0069] Processing and analysis unit, the processing and analysis unit is used to receive the demand command sent by the central processing unit and analyze it to select the satisfied usage requirements.
[0070] The processing and analysis unit includes the following steps:
[0071] A1. Data collection: Collect the pre-stored data in the database;
[0072] A2. Data comparison: Calculate the correlation degree between the requirement request and the pre-stored data;
[0073] A3. Analysis and processing: Recommend the function operation with the highest correlation degree with the current requirement according to the correlation degree of the data comparison;
[0074] A4. Result sending: Send a recommendation command according to the result of the function operation with the highest correlation degree.
[0075] The recommendation determination unit is used to determine the requirement instruction and make a recommendation.
[0076] The recommendation determination unit includes the following steps:
[0077] B1. Command acquisition: Acquire the recommendation command sent by the processing and analysis unit;
[0078] B2. Command determination: Determine the function operation type with the highest correlation degree with the current requirement;
[0079] B3. Command sending: Send an operation command.
[0080] The data update unit is used to collect the recommendation command of the recommendation determination unit and update the real-time data, upload the real-time data to the database for real-time storage
[0081] The feedback unit is used to feedback the usage effect of the user and upload the feedback information to the database for storage. The feedback unit includes a ranging module, a temperature sensor, an adjustment module, and a reset module. Among them, the ranging module is used to monitor the safety distance; the temperature sensor is used to monitor the real-time usage temperature; the adjustment module is used to adjust the real-time distance; the reset module is used to realize the reset of the robot.
[0082] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. An intelligent moxibustion robot adjustment APP control panel operation recommendation system, characterized in that: include: An input unit, the input unit is used to input user requirements; A demand retrieval unit, the demand retrieval unit is used to receive the demand information input by the input unit, and perform retrieval and demand request commands; Building a database, wherein the building database is used to establish a user database and a historical use database; A central processing unit, the central processing unit is used to receive the demand information sent by the demand retrieval unit and send a demand command; A processing and analysis unit, the processing and analysis unit is used to receive the demand command sent by the central processing unit, analyze it, and select the satisfied usage requirements; A recommendation determination unit, the recommendation determination unit is used to determine the demand instruction and make a recommendation; A data updating unit, which is used to collect the recommended commands of the recommendation determination unit, update the real-time data, upload the real-time data to the database, and store it in real time. Feedback unit: The feedback unit is used to provide feedback to the user on the usage effect and upload the feedback information to the database for storage.
2. According to claim 1, an intelligent moxibustion robot adjustment APP control panel operation recommendation system is characterized in that: The input unit includes: a touch screen and a microphone. The touch screen is used for inputting text requirements, and the microphone is used for inputting language requirements. The microphone converts the recognized voice into text information based on voice recognition technology.
3. According to claim 1, an intelligent moxibustion robot adjustment APP control panel operation recommendation system is characterized in that: The demand retrieval unit is connected to the database via a signal.
4. According to claim 1, an intelligent moxibustion robot adjustment APP control panel operation recommendation system is characterized in that: The constructed database includes: historical usage data and user identity information, the historical usage data is used to store historical usage data, and the user identity information is used to store identity information.
5. According to claim 1, an intelligent moxibustion robot adjustment APP control panel operation recommendation system is characterized in that: The central processing unit has a built-in signal transceiver module and a data storage module, wherein the signal transceiver module is used to receive a demand request command sent by the demand retrieval unit and send the demand request command to the processing and analysis unit, and the data storage module is used to store the demand request sent by the demand retrieval unit.
6. According to claim 1, an intelligent moxibustion robot adjustment APP control panel operation recommendation system is characterized in that: The central processing unit includes a timing module and an alarm module, wherein the timing module times the treatment time based on a stopwatch, the alarm module is electrically connected to the timing module, and the alarm module is used to realize an alarm after the timing is completed.
7. According to claim 1, an intelligent moxibustion robot adjustment APP control panel operation recommendation system is characterized in that: The central processing unit further includes a judgment module and a display module, wherein the judgment module is used to judge whether the demand command exists in the database, and the display module is used to display the result of the judgment module.
8. The intelligent moxibustion robot adjustment APP control panel operation recommendation system according to claim 1, characterized in that: The processing and analysis unit comprises the following steps: A1. Data collection: collect pre-stored data in the database; A2. Data comparison: Calculate the correlation between the demand request and the pre-stored data; A3. Analysis and processing: Recommend the function operation with the highest correlation with the current demand based on the correlation of data comparison; A4. Send results: Send recommended commands based on the most relevant function operation results.
9. The intelligent moxibustion robot adjustment APP control panel operation recommendation system according to claim 1, characterized in that: The recommendation determination unit comprises the following steps: B1. Command acquisition: acquiring the recommended command sent by the processing and analysis unit; B2. Command determination: determine the functional operation type that is most relevant to the current demand; B3. Command sending: Send operation command.
10. The intelligent moxibustion robot adjustment APP control panel operation recommendation system according to claim 1, characterized in that: The feedback unit includes a distance measurement module, a temperature sensor, an adjustment module and a reset module, wherein the distance measurement module is used to monitor the safety distance; the temperature sensor is used to monitor the real-time use temperature; The regulating module is used to adjust the real-time distance; and the resetting module is used to realize the resetting of the robot.