Intelligent shaver adaptive control system based on Internet of Things

Abstract

The invention discloses an intelligent shaver adaptive control system based on the Internet of Things, and relates to the technical field of data analysis and processing, and the system comprises an intelligent control terminal which is used for controlling data transmission and information interaction between modules; the state determination module is used for performing state analysis processing on the use data of the shaver and selecting whether to charge the shaver or not; and the cutter height adjusting module is used for comparing, analyzing and processing the mesh area of the shaver. According to the method, state analysis is carried out on the use data of the shaver, whether the remaining energy of the shaver can complete a complete shaving process or not is determined, it is guaranteed that the situation that the energy of the intelligent shaver is insufficient in the use process is avoided, the use experience of a user is improved, and in addition, the user experience is improved. And the pressure data borne by the meshes of the shaver are also compared and judged, whether the distance between the jaw and the cutter is too close or not is determined, if the distance between the jaw and the cutter is too close, the height of the cutter is reduced, and the jaw is prevented from being damaged by the cutter.

Description

Technical Field

[0001] This invention relates to the field of data analysis and processing technology, specifically to an adaptive control system for an intelligent shaver based on the Internet of Things. Background Technology

[0002] A razor, also known as a beard trimmer, is a tool for shaving. It is a self-service tool and is mostly used by adult men. It can be divided into three categories according to its structure: safety razors, electric razors, and mechanical razors.

[0003] Smart shavers use internally stored electrical energy to power the blades to remove beards. However, if the energy reserves inside the smart shaver are not properly calculated before use, insufficient energy may result in an incomplete shave. In addition, some people use too much force when shaving, which may shorten the distance between the chin and the blades. If the distance is too short, the blades may damage the chin. Summary of the Invention

[0004] To address the aforementioned technical issues, an IoT-based intelligent shaver adaptive control system is provided. This technical solution resolves the problem mentioned in the background that if an electronic shaver is used without calculating its internal energy, insufficient energy will result in an incomplete shave. Furthermore, some people use excessive force when shaving, which shortens the distance between their chin and the blades, potentially causing damage to their chin.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: The IoT-based intelligent shaver adaptive control system includes: An intelligent control terminal is used to control data transmission and information interaction between various modules. A status determination module is used to perform status analysis and processing on the usage data of the shaver and select whether to charge the shaver. The blade height adjustment module is used to compare and analyze the mesh area of ​​the shaver and select whether to adjust the blade height of the shaver. A data storage device for storing shaver usage data and shaver charging times; A miniature camera, used to capture and process images of the mesh of a razor to obtain images of the razor's mesh; A pressure sensor is used to collect and process data from the mesh of the shaver to obtain pressure data on the mesh of the shaver.

[0006] Preferably, the status determination module is used to perform status analysis processing on the usage data of the shaver, and the specific steps for selecting whether to charge the shaver include the following: The data storage device of the shaver is read and processed to obtain the shaver's usage data and charging time. Based on the charging time of the shaver, the usage data of the shaver is classified and processed to obtain the shaver usage data at different charging times; Based on shaver usage data at different charging times, the system performs real-time status analysis and processing to determine whether or not to charge the shaver.

[0007] Preferably, the real-time status analysis of the shaver based on shaver usage data at different charging times, and the selection of whether to charge the shaver, specifically includes the following steps: Data reading and processing of shaver usage data at different charging times are performed to obtain the shaver usage time at different charging times; The usage time of the shaver at different charging times and the reference usage time threshold are judged and processed. If any data in the shaver's usage time at different charging times is less than the reference usage time threshold, the data that is less than the reference usage time threshold will be removed, and the remaining data will be set as the standard shaver usage time. If there are no instances of shaver usage time less than the reference usage time threshold at different charging times, the shaver usage time at different charging times will be set to the standard shaver usage time. Based on the standard shaver usage time, the system performs real-time status analysis and processing to determine whether to charge the shaver.

[0008] Preferably, the step of performing real-time status analysis on the shaver based on the standard shaver usage time and selecting whether to charge the shaver specifically includes the following steps: Based on the standard shaver usage time, data matching processing was performed on shaver usage data at different charging times to determine the standard shaver usage data. The average usage time of shavers that meet the standards is calculated to obtain the average energy usage time of the shavers; Data extraction and processing are performed on standard shaver usage data to obtain the times when the shaver is turned on and off each time. The difference between the time the shaver is turned on and the time it is turned off is calculated to determine the duration of each use of the shaver. The average usage time of the shaver is calculated by averaging the usage time of each shaver session. Based on the shaver's average energy usage time and average usage time per session, the system performs real-time status analysis and determines whether to charge the shaver.

[0009] Preferably, the real-time status analysis of the shaver based on its average energy usage time and average usage time per session, and the selection of whether to charge the shaver, specifically includes the following steps: Based on the Python time sorting algorithm, the charging times of the shaver are sorted to determine the latest charging time of the shaver. Based on the latest charging time of the shaver, data extraction and processing are performed on the shaver's usage data to obtain the latest usage time of the shaver; The difference between the average energy usage time of the shaver and the latest usage time of the shaver is calculated to obtain the remaining energy usage time of the shaver. The remaining energy usage time of the shaver and the average usage time of the shaver per session are assessed and processed. If the remaining energy of the shaver lasts for a duration greater than or equal to the average duration of each use, the shaver can continue to be used without needing to be recharged. If the remaining power of the shaver is less than the average usage time of each shaver, the shaver cannot be used anymore and needs to be charged.

[0010] Preferably, the blade height adjustment module is used to perform comparative analysis of the mesh area of ​​the shaver, and to select whether to adjust the blade height of the shaver, specifically including the following steps: Based on a miniature camera, image acquisition and processing are performed on the mesh of the razor to obtain an image of the razor's mesh. Data processing is performed on the mesh image of the razor to obtain the mesh area and the area of ​​the filling material inside the mesh. The mesh area and the area of ​​the filling material inside the mesh of the razor are calculated to determine the mesh filling degree of the razor. A comparative analysis of the mesh filling degree of razors was conducted to determine whether to adjust the blade height of the razor.

[0011] Preferably, the step of performing data calculation processing on the mesh image of the razor to obtain the mesh area and the area of ​​the filling material inside the mesh specifically includes the following steps: Data extraction processing is performed on the mesh image of the razor to obtain mesh length data, mesh width data, and the shape of the filling material inside the mesh; The mesh length and width data are calculated and processed to obtain the mesh area of ​​the razor. The shape of the filling material inside the mesh is subjected to function matching to obtain the filling material similarity function; The area of ​​the filling material inside the mesh is obtained by performing double integral calculation on the similarity function of the filling material.

[0012] Preferably, the comparative analysis of the mesh filling degree of the razor, and the selection of whether to adjust the blade height of the razor, specifically includes the following steps: The mesh filling degree of the razor and the set mesh filling degree threshold are judged and processed; If the mesh fill degree of the shaver is less than the set mesh fill degree threshold, there is no need to adjust the blade height of the shaver. If the mesh filling degree of the shaver is greater than or equal to the set mesh filling degree threshold, the pressure data of the shaver's mesh is compared and analyzed to determine whether to adjust the shaver's blade height.

[0013] Preferably, the comparative analysis of the pressure data of the razor's mesh, and the selection of whether to adjust the razor's blade height, specifically includes the following steps: Based on the pressure sensor, data is collected and processed from the mesh of the shaver to obtain the pressure data of the mesh of the shaver. The data on the pressure that the razor's mesh can withstand and the set threshold for the pressure that the mesh can withstand are judged and processed. If the pressure data of the shaver's mesh is greater than or equal to the set mesh pressure threshold, reduce the blade height of the shaver. If the pressure data of the shaver's mesh is less than the set mesh pressure threshold, there is no need to reduce the blade height of the shaver.

[0014] Furthermore, an IoT-based adaptive control method for smart shavers is proposed, for use in the aforementioned IoT-based adaptive control system for smart shavers, including: S100: Obtain shaver usage data, perform status analysis and processing on the shaver usage data based on the intelligent control terminal, and select whether to charge the shaver. S200: Using a miniature camera, image acquisition and processing are performed on the mesh of the shaver to obtain an image of the shaver's mesh. S300: Based on the intelligent control terminal, perform image analysis and processing on the mesh image of the shaver, and select whether it is necessary to perform comparative analysis and processing on the pressure data of the shaver mesh. S400, based on the intelligent control terminal, compares and analyzes the pressure data of the shaver's mesh, and selects whether to adjust the shaver's blade height.

[0015] Compared with existing technologies, this invention provides an IoT-based intelligent shaver adaptive control system, which has the following advantages: This invention analyzes the usage data of the shaver to determine whether the remaining energy is sufficient to complete a full shave, ensuring that the smart shaver will not run out of energy during use and improving the user experience. In addition, it compares and judges the pressure data of the shaver's mesh to determine whether the distance between the chin and the blade is too close. If the distance between the chin and the blade is too close, the height of the blade is reduced to avoid damage to the chin. Attached Figure Description

[0016] Figure 1 This is a structural block diagram of the IoT-based intelligent shaver adaptive control system proposed in this invention. Figure 2 This is a flowchart illustrating steps S100-S400 in the IoT-based adaptive control method for smart shavers proposed in this invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, the IoT-based intelligent shaver adaptive control system includes: An intelligent control terminal is used to control data transmission and information interaction between various modules. A status determination module is used to perform status analysis and processing on the usage data of the shaver and select whether to charge the shaver. The blade height adjustment module is used to compare and analyze the mesh area of ​​the shaver and select whether to adjust the blade height of the shaver. A data storage device for storing shaver usage data and shaver charging times; A miniature camera, used to capture and process images of the mesh of a razor to obtain images of the razor's mesh; A pressure sensor is used to collect and process data from the mesh of the shaver to obtain data on the pressure exerted by the mesh of the shaver. Those skilled in the art will understand that smart shavers use internal electrical energy to complete the shaving process. If the remaining energy of the smart shaver is not calculated and analyzed before shaving, insufficient energy will cause the shaving process to be interrupted, resulting in an incomplete shave and a reduced user experience. In addition, if the user applies too much force during shaving, the flesh of the chin may be squeezed into the mesh of the smart shaver. If the distance between the flesh of the chin and the shaver blades is too short, the blades may cause damage to the chin. Therefore, by comparing the pressure data of the smart shaver, the user can choose whether to adjust the height of the blades to avoid injury to the user.

[0019] Example 1 The status determination module is used to analyze and process the usage data of the shaver, and to select whether to charge the shaver, specifically including the following steps: The data storage device of the shaver is read and processed to obtain the shaver's usage data and charging time. Based on the charging time of the shaver, the usage data of the shaver is classified and processed to obtain the shaver usage data at different charging times; Based on shaver usage data at different charging times, the system performs real-time status analysis and processing of the shaver to determine whether or not to charge it. Understandably, a smart shaver can be used for a period of time after each charge. However, the duration of each shaving session is approximately the same. Therefore, by calculating the remaining energy of the shaver, the remaining usage time can be determined and compared with the duration of each shaving session to determine whether the shaving process will be interrupted. This ensures that the user can get a clean shave in one go and improves the user experience.

[0020] The process of analyzing the shaver's real-time status based on usage data at different charging times and determining whether to charge the shaver includes the following steps: Data reading and processing of shaver usage data at different charging times are performed to obtain the shaver usage time at different charging times; The usage time of the shaver at different charging times and the reference usage time threshold are judged and processed. If any data in the shaver's usage time at different charging times is less than the reference usage time threshold, the data that is less than the reference usage time threshold will be removed, and the remaining data will be set as the standard shaver usage time. If there are no instances of shaver usage time less than the reference usage time threshold at different charging times, the shaver usage time at different charging times will be set to the standard shaver usage time. Based on the standard shaver usage time, the system performs real-time status analysis and processing to determine whether to charge the shaver. It is understandable that sometimes users are in a hurry to use the shaver and do not wait for it to fully charge. Therefore, the usage data of the shaver in this case is not usable. Therefore, by filtering the usage time of the shaver at different charging times, we can obtain the standard usage time of the shaver. The standard usage time of the shaver refers to the usage time when it is fully charged.

[0021] The process of analyzing the real-time status of shavers based on standard usage time and determining whether to charge them includes the following steps: Based on the standard shaver usage time, data matching processing was performed on shaver usage data at different charging times to determine the standard shaver usage data. The average usage time of shavers that meet the standards is calculated to obtain the average energy usage time of the shavers; Data extraction and processing are performed on standard shaver usage data to obtain the times when the shaver is turned on and off each time. The difference between the time the shaver is turned on and the time it is turned off is calculated to determine the duration of each use of the shaver. The average usage time of the shaver is calculated by averaging the usage time of each shaver session. Based on the shaver's average energy usage time and average usage time per shaver session, the system performs real-time status analysis and determines whether to charge the shaver. It is understandable that users need to turn the smart shaver on and off each time they use it. Therefore, by calculating the difference between the times the shaver is turned on and off each time, the duration of each use can be obtained. However, to make the subsequent analysis results more accurate, the average duration of each use is calculated.

[0022] The process of analyzing the shaver's real-time status based on its average energy usage time and average usage duration per session, and then determining whether to recharge it, includes the following steps: Based on the Python time sorting algorithm, the charging times of the shaver are sorted to determine the latest charging time of the shaver. Based on the latest charging time of the shaver, data extraction and processing are performed on the shaver's usage data to obtain the latest usage time of the shaver; The difference between the average energy usage time of the shaver and the latest usage time of the shaver is calculated to obtain the remaining energy usage time of the shaver. The remaining energy usage time of the shaver and the average usage time of the shaver per session are assessed and processed. If the remaining energy of the shaver lasts for a duration greater than or equal to the average duration of each use, the shaver can continue to be used without needing to be recharged. If the remaining power of the shaver lasts for less than the average usage time of the shaver, the shaver cannot be used anymore and needs to be charged. Understandably, to determine the remaining battery life of a smart shaver, it's necessary to know the last charging time and usage data after a recent full charge. This usage data is then used to calculate the duration the shaver has been used since charging. Finally, the remaining battery life and the average usage time per cycle are compared to determine if the shaver can complete the next shave, thus deciding whether it needs to be recharged.

[0023] Example 2 The blade height adjustment module is used to compare and analyze the mesh area of ​​the shaver, and to select whether to adjust the blade height of the shaver. The specific steps include: Based on a miniature camera, image acquisition and processing are performed on the mesh of the razor to obtain an image of the razor's mesh. Data processing is performed on the mesh image of the razor to obtain the mesh area and the area of ​​the filling material inside the mesh. The mesh area and the area of ​​the filling material inside the mesh of the razor are calculated to determine the mesh filling degree of the razor. A comparative analysis of the mesh filling degree of razors was conducted to determine whether to adjust the blade height of the razor. Understandably, to determine whether the blades will damage the chin, one needs to assess the area of ​​the filling material inside the mesh. If the mesh filling area is too small, it means that the smart shaver contains beard hairs rather than chin flesh. If the mesh filling area is too large, it means that the smart shaver contains chin flesh, and the blades of the smart shaver may damage the user's chin.

[0024] The process of calculating and processing the mesh image of the razor to obtain the mesh area and the area of ​​the filling material inside the mesh includes the following steps: Data extraction processing is performed on the mesh image of the razor to obtain mesh length data, mesh width data, and the shape of the filling material inside the mesh; The mesh length and width data are calculated and processed to obtain the mesh area of ​​the razor. The shape of the filling material inside the mesh is subjected to function matching to obtain the filling material similarity function; The area of ​​the filling material inside the mesh is obtained by performing double integral calculation on the similarity function of the filling material.

[0025] The process of comparing and analyzing the mesh filling degree of razors and determining whether to adjust the blade height of razors includes the following steps: The mesh filling degree of the razor and the set mesh filling degree threshold are judged and processed; If the mesh fill degree of the shaver is less than the set mesh fill degree threshold, there is no need to adjust the blade height of the shaver. If the mesh filling degree of the shaver is greater than or equal to the set mesh filling degree threshold, the pressure data of the shaver's mesh is compared and analyzed to determine whether to adjust the shaver's blade height.

[0026] The process of comparing and analyzing the pressure data of the razor's mesh to determine whether to adjust the razor's blade height includes the following steps: Based on the pressure sensor, data is collected and processed from the mesh of the shaver to obtain the pressure data of the mesh of the shaver. It is understandable that the mesh of a smart shaver is movable in order to remove the user's beard more cleanly. However, there may be cases where the distance between the user's chin and the blades of the smart shaver is too close. Therefore, it is necessary to judge the pressure data of the shaver mesh to determine the distance between the user's chin and the blades of the smart shaver. The data on the pressure that the razor's mesh can withstand and the set threshold for the pressure that the mesh can withstand are judged and processed. If the pressure data of the shaver's mesh is greater than or equal to the set mesh pressure threshold, reduce the blade height of the shaver. If the pressure data of the shaver's mesh is less than the set mesh pressure threshold, there is no need to reduce the blade height of the shaver. Understandably, if the user applies too much pressure, the mesh of the smart shaver will drop. This is because the mesh of the smart shaver is movable. Therefore, by judging the pressure data of the shaver's mesh, it can be determined whether the distance between the user's chin and the smart shaver's blades is too close. If the pressure data of the shaver's mesh is too high, it means that the distance between the user's chin and the smart shaver's blades is too close, and the smart shaver's blades may cause damage to the user's chin. Therefore, it is necessary to adjust the height of the smart shaver's blades.

[0027] Reference Figure 2 As shown, the IoT-based intelligent shaver adaptive control method, used in the aforementioned IoT-based intelligent shaver adaptive control system, includes: S100: Obtain shaver usage data, perform status analysis and processing on the shaver usage data based on the intelligent control terminal, and select whether to charge the shaver. S200: Using a miniature camera, image acquisition and processing are performed on the mesh of the shaver to obtain an image of the shaver's mesh. S300: Based on the intelligent control terminal, perform image analysis and processing on the mesh image of the shaver, and select whether it is necessary to perform comparative analysis and processing on the pressure data of the shaver mesh. S400, based on the intelligent control terminal, compares and analyzes the pressure data of the shaver's mesh, and selects whether to adjust the shaver's blade height.

[0028] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. An adaptive control system for an intelligent shaver based on the Internet of Things, characterized in that, include: An intelligent control terminal is used to control data transmission and information interaction between various modules. A status determination module is used to perform status analysis and processing on the usage data of the shaver and select whether to charge the shaver. The blade height adjustment module is used to compare and analyze the mesh area of ​​the shaver and select whether to adjust the blade height of the shaver. A data storage device for storing shaver usage data and shaver charging times; A miniature camera, used to capture and process images of the mesh of a razor to obtain images of the razor's mesh; A pressure sensor is used to collect and process data from the mesh of the shaver to obtain pressure data on the mesh of the shaver.

2. The IoT-based intelligent shaver adaptive control system according to claim 1, characterized in that, The status determination module is used to perform status analysis and processing on the usage data of the shaver, and the specific steps for selecting whether to charge the shaver include the following: The data storage device of the shaver is read and processed to obtain the shaver's usage data and charging time. Based on the charging time of the shaver, the usage data of the shaver is classified and processed to obtain the shaver usage data at different charging times; Based on shaver usage data at different charging times, the system performs real-time status analysis and processing to determine whether or not to charge the shaver.

3. The IoT-based intelligent shaver adaptive control system according to claim 2, characterized in that, The process of analyzing the shaver's real-time status based on usage data at different charging times and determining whether to charge the shaver specifically includes the following steps: Data reading and processing of shaver usage data at different charging times are performed to obtain the shaver usage time at different charging times; The usage time of the shaver at different charging times and the reference usage time threshold are judged and processed. If any data in the shaver's usage time at different charging times is less than the reference usage time threshold, the data that is less than the reference usage time threshold will be removed, and the remaining data will be set as the standard shaver usage time. If there are no instances of shaver usage time less than the reference usage time threshold at different charging times, the shaver usage time at different charging times will be set to the standard shaver usage time. Based on the standard shaver usage time, the system performs real-time status analysis and processing to determine whether to charge the shaver.

4. The IoT-based intelligent shaver adaptive control system according to claim 3, characterized in that, The process of analyzing the real-time status of the shaver based on its standard usage time and determining whether to charge it specifically includes the following steps: Based on the standard shaver usage time, data matching processing was performed on shaver usage data at different charging times to determine the standard shaver usage data. The average usage time of shavers that meet the standards is calculated to obtain the average energy usage time of the shavers; Data extraction and processing are performed on standard shaver usage data to obtain the times when the shaver is turned on and off each time. The difference between the time the shaver is turned on and the time it is turned off is calculated to determine the duration of each use of the shaver. The average usage time of the shaver is calculated by averaging the usage time of each shaver session. Based on the shaver's average energy usage time and average usage time per session, the system performs real-time status analysis and determines whether to charge the shaver.

5. The IoT-based intelligent shaver adaptive control system according to claim 4, characterized in that, The process of performing real-time status analysis on the shaver based on its average energy usage time and average usage time per session, and then selecting whether to charge the shaver, specifically includes the following steps: Based on the Python time sorting algorithm, the charging times of the shaver are sorted to determine the latest charging time of the shaver. Based on the latest charging time of the shaver, data extraction and processing are performed on the shaver's usage data to obtain the latest usage time of the shaver; The difference between the average energy usage time of the shaver and the latest usage time of the shaver is calculated to obtain the remaining energy usage time of the shaver. The remaining energy usage time of the shaver and the average usage time of the shaver per session are assessed and processed. If the remaining energy of the shaver lasts for a duration greater than or equal to the average duration of each use, the shaver can continue to be used without needing to be recharged. If the remaining power of the shaver is less than the average usage time of each shaver, the shaver cannot be used anymore and needs to be charged.

6. The IoT-based intelligent shaver adaptive control system according to claim 1, characterized in that, The blade height adjustment module is used to perform comparative analysis of the mesh area of ​​the shaver, and to select whether to adjust the blade height of the shaver. The specific steps include: Based on a miniature camera, image acquisition and processing are performed on the mesh of the razor to obtain an image of the razor's mesh. Data processing is performed on the mesh image of the razor to obtain the mesh area and the area of ​​the filling material inside the mesh. The mesh area and the area of ​​the filling material inside the mesh of the razor are calculated to determine the mesh filling degree of the razor. A comparative analysis of the mesh filling degree of razors was conducted to determine whether to adjust the blade height of the razor.

7. The IoT-based intelligent shaver adaptive control system according to claim 6, characterized in that, The process of performing data calculations on the mesh image of the razor to obtain the mesh area and the area of ​​the filling material inside the mesh specifically includes the following steps: Data extraction processing is performed on the mesh image of the razor to obtain mesh length data, mesh width data, and the shape of the filling material inside the mesh; The mesh length and width data are calculated and processed to obtain the mesh area of ​​the razor. The shape of the filling material inside the mesh is subjected to function matching to obtain the filling material similarity function; The area of ​​the filling material inside the mesh is obtained by performing double integral calculation on the similarity function of the filling material.

8. The IoT-based intelligent shaver adaptive control system according to claim 6, characterized in that, The comparative analysis of the mesh filling degree of the razor, and the selection of whether to adjust the blade height of the razor, specifically includes the following steps: The mesh filling degree of the razor and the set mesh filling degree threshold are judged and processed; If the mesh fill degree of the shaver is less than the set mesh fill degree threshold, there is no need to adjust the blade height of the shaver. If the mesh filling degree of the shaver is greater than or equal to the set mesh filling degree threshold, the pressure data of the shaver's mesh is compared and analyzed to determine whether to adjust the shaver's blade height.

9. The IoT-based intelligent shaver adaptive control system according to claim 8, characterized in that, The comparative analysis of the pressure data of the razor's mesh, and the selection of whether to adjust the razor's blade height, specifically includes the following steps: Based on the pressure sensor, data is collected and processed from the mesh of the shaver to obtain the pressure data of the mesh of the shaver. The data on the pressure that the razor's mesh can withstand and the set threshold for the pressure that the mesh can withstand are judged and processed. If the pressure data of the shaver's mesh is greater than or equal to the set mesh pressure threshold, reduce the blade height of the shaver. If the pressure data of the shaver's mesh is less than the set mesh pressure threshold, there is no need to reduce the blade height of the shaver.

10. An adaptive control method for an intelligent shaver based on the Internet of Things, characterized in that, The IoT-based intelligent shaver adaptive control system as described in any one of claims 1-9 includes: S100: Obtain shaver usage data, perform status analysis and processing on the shaver usage data based on the intelligent control terminal, and select whether to charge the shaver. S200: Using a miniature camera, image acquisition and processing are performed on the mesh of the shaver to obtain an image of the shaver's mesh. S300: Based on the intelligent control terminal, perform image analysis and processing on the mesh image of the shaver, and select whether it is necessary to perform comparative analysis and processing on the pressure data of the shaver mesh. S400, based on the intelligent control terminal, compares and analyzes the pressure data of the shaver's mesh, and selects whether to adjust the shaver's blade height.

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