Smart home linkage and intelligentization system based on user physique data

Abstract

A smart home linkage and intelligentization system based on user physique data comprises a body fat scale, a data processing module, a smart furniture control module and a user terminal, the user terminal is connected with the data processing module through a network, and the data processing module is connected with the smart furniture control module through the network. The intelligent furniture control module is connected with the body fat scale through a wireless signal, the body fat scale is provided with a data acquisition module and a data transmission module, the system can generate a health report and life suggestions according to individual physique data of a user, and personalized health management is achieved. The user can obtain targeted health guidance, and the overall health level is improved.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and in particular to a smart home linkage and intelligent system based on user physical fitness data. Background Art

[0002] With the rapid development of smart home technology, more and more home appliances and devices can be controlled and linked through the Internet. However, most smart home systems currently rely mainly on time control, environmental sensors and other means, but fail to fully consider the user's individual health status and living habits. Summary of the invention

[0003] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a smart home linkage and intelligent system based on user physical fitness data.

[0004] (II) Technical solution To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a smart home linkage and intelligent system based on user physical fitness data, including a body fat scale, a data processing module, a smart furniture control module and a user terminal, wherein the user terminal is connected to the data processing module via a network, the data processing module is connected to the smart furniture control module via a network, the smart furniture control module is connected to the body fat scale via a wireless signal, and the body fat scale is provided with a data acquisition module and a data transmission module.

[0005] Furthermore, the present invention is improved in that the data processing module includes a data cleaning module, a data formatting module and a data analysis module.

[0006] Furthermore, the present invention is improved in that the data processing module generates a detailed health report by analyzing the data.

[0007] Further, the present invention is improved in that the health report includes an assessment of the user's current health status, potential health problems, and personalized life and diet recommendations.

[0008] Furthermore, an improvement of the present invention is that the user terminal includes a smart phone, a tablet computer and a smart mirror.

[0009] Furthermore, the present invention is improved in that the data collected by the data collection module includes body weight, body fat percentage, BMI and muscle mass.

[0010] (III) Beneficial effects Compared with the prior art, the present invention provides a smart home linkage and intelligent system based on user physical fitness data, which has the following beneficial effects: 1. Personalized health management; The system can generate health reports and life suggestions based on the user's individual physical data to achieve personalized health management. Users can receive targeted health guidance and improve their overall health level.

[0011] 2. Automatic intelligent adjustment; The system can automatically adjust smart home devices such as thermostats, lighting equipment, kitchen appliances, etc. based on health reports. This automated adjustment not only improves the convenience of life, but also creates a healthier living environment.

[0012] 3. Multi-dimensional data analysis; The system can conduct a comprehensive health assessment by collecting multi-dimensional physical data (such as weight, body fat percentage, BMI, muscle mass, etc.) through the body fat scale. Multi-dimensional data analysis makes the health report more accurate and comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is a system architecture diagram of the present invention; Figure 2 A flow chart for the operation of the first system of the present invention; Figure 3 Flowchart for the operation of the second system of the present invention. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] See also Figure 1-3 The smart home linkage and intelligent system based on user physical fitness data of the present invention comprises a body fat scale, a data processing module, a smart furniture control module and a user terminal, wherein the user terminal is connected to the data processing module via a network, the data processing module is connected to the smart furniture control module via a network, the smart furniture control module is connected to the body fat scale via a wireless signal, and the body fat scale has a data acquisition module and a data transmission module; Body fat scale: used to obtain the user's physical data, such as weight, body fat percentage, BMI, etc. Data processing module: Analyze and process the data obtained by the body fat scale to generate user health reports and life suggestions; Smart home control module: automatically adjusts smart home devices according to the output results of the data processing module; User terminal: used for users to view physical data, health reports, and manually adjust smart home devices; Furthermore, the data processing module includes a data cleaning module, a data formatting module and a data analysis module.

[0016] Furthermore, the data processing module analyzes the data to generate a detailed health report.

[0017] Furthermore, the health report includes an assessment of the user's current health status, potential health problems, and personalized living and dietary recommendations.

[0018] Furthermore, the user terminal includes a smart phone, a tablet computer and a smart mirror.

[0019] Furthermore, the data collected by the data collection module includes body weight, body fat percentage, BMI and muscle mass.

[0020] The system workflow is as follows: 1. Data collection; 1) The user stands on the body fat scale, and the body fat scale starts to measure the user's physical data through the data collection module, including but not limited to weight, body fat percentage, BMI, muscle mass, bone mass, water content, etc.; 2) The body fat scale transmits data to the data processing module through wireless communication (such as Wi-Fi, Bluetooth) from the data transmission module; 3) The data processing module receives the data transmitted by the body fat scale, performs preliminary processing on the data, and cleans or formats the data through the data cleaning module and the data formatting module respectively; 4) The data processing module uses built-in health assessment algorithms to analyze physical fitness data and generate detailed health reports. These algorithms can be based on medical research and big data analysis, taking into account factors such as the user's age, gender, and historical health data; 5) Health reports include an assessment of the user’s current health status, potential health problems, and personalized living and dietary recommendations.

[0021] 2. Adjustment of smart home devices; The data processing module matches the generated health report with the preset smart home linkage rules, for example: 1) Diet adjustment: If the health report shows that the user's body fat percentage is too high, smart kitchen devices (such as refrigerators and ovens) will recommend low-fat and low-sugar foods and display healthy recipes through the smart screen; 2) Environmental adjustment: If the user is underweight or has a weak immune system, the system will automatically adjust the thermostat to provide a suitable temperature environment to promote the user's appetite and physical recovery; 3) Sleep optimization: If the health report shows that the user's sleep quality is poor, the system will automatically adjust the lighting equipment to provide a soft lighting environment, and adjust the smart speaker to play soothing music to help the user improve sleep quality; 4) Exercise suggestions: If the user's physical data shows a lack of exercise, the system will push a personalized exercise plan through smart terminals (such as mobile phones and smart watches) and automatically start smart fitness equipment (such as treadmills and exercise bikes); According to the above matching results, the smart home control module sends control instructions to the corresponding smart home devices through wireless communication protocols (such as Zigbee, Z-Wave, Wi-Fi) to complete device adjustment.

[0022] 3. User interaction and feedback; 1) Users can view detailed physical data and health reports through user terminals (such as smartphones, tablets, smart mirrors); 2) The user terminal provides a friendly user interface to display the historical trend of physical data, detailed content of health reports and personalized life suggestions; 3) Users can manually adjust smart home devices through the user terminal. For example, users can adjust the temperature of the thermostat, choose different diet plans, modify exercise plans, etc. according to their needs; 4) The system will record the user's manual adjustment operations and feed this data back to the data processing module so that it can be optimized when the health report is generated next time to provide more personalized and accurate suggestions.

[0023] 4. Continuous optimization; 1) The system will regularly update data and optimize algorithms to ensure the accuracy and reliability of the health assessment algorithm; 2) The system will train and adjust personalized models based on the user's long-term data accumulation to provide more accurate health assessments and life suggestions.

[0024] 1. Data collection technology for body fat scales; The body fat scale can accurately measure the user's multi-dimensional physical data, such as weight, body fat percentage, BMI, muscle mass, bone mass, water content, etc., and transmit it to the data processing module through wireless communication.

[0025] 2. Health assessment algorithm for data processing module; The data processing module uses a health assessment algorithm to analyze physical data and generate a detailed health report. The algorithm considers factors such as the user's age, gender, and historical health data to provide a personalized health assessment.

[0026] 3. Automatic adjustment mechanism of smart home control module; The smart home control module automatically adjusts smart home devices such as thermostats, lighting equipment, kitchen appliances, etc. according to health reports, realizing the intelligent linkage between health management and home environment.

[0027] 4. The system's wireless communication protocol; Data transmission and control instructions between modules of the system are carried out through wireless communication protocols (such as Wi-Fi, Bluetooth, Zigbee, and Z-Wave) to achieve efficient and reliable data exchange and device control.

[0028] 5. Continuous optimization of personalized models; The system trains and adjusts personalized models based on the user's long-term data accumulation, provides more accurate health assessments and life suggestions, and ensures continuous optimization and improvement of the system.

[0029] 6. Comprehensive analysis of multi-dimensional data; Through comprehensive analysis of multi-dimensional physical data, the system generates a comprehensive health report and provides personalized life suggestions in many aspects including diet, exercise, sleep, etc.

[0030] 7. Linkage rules for smart home devices; The system's preset smart home linkage rules trigger corresponding smart home device adjustment operations based on different health assessment results, thereby improving users' health and quality of life.

[0031] In summary, this system has the following advantages: 1. Personalized health management; The system can generate health reports and life suggestions based on the user's individual physical data to achieve personalized health management. Users can receive targeted health guidance and improve their overall health level.

[0032] 2. Automatic intelligent adjustment; The system can automatically adjust smart home devices such as thermostats, lighting equipment, kitchen appliances, etc. based on health reports. This automated adjustment not only improves the convenience of life, but also creates a healthier living environment.

[0033] 3. Multi-dimensional data analysis; The system can conduct a comprehensive health assessment by collecting multi-dimensional physical data (such as weight, body fat percentage, BMI, muscle mass, etc.) through the body fat scale. Multi-dimensional data analysis makes the health report more accurate and comprehensive.

[0034] In the description of this article, it should be noted that relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0035] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. Smart home linkage and intelligent system based on user physical data, characterized by: It includes a body fat scale, a data processing module, an intelligent furniture control module and a user terminal. The user terminal is connected to the data processing module through a network, the data processing module is connected to the intelligent furniture control module through a network, the intelligent furniture control module is connected to the body fat scale through a wireless signal, and the body fat scale is provided with a data acquisition module and a data transmission module.

2. The smart home linkage and intelligent system based on user physical fitness data according to claim 1, characterized in that: The data processing module includes a data cleaning module, a data formatting module and a data analysis module.

3. The smart home linkage and intelligent system based on user physical fitness data according to claim 2, characterized in that: The data processing module analyzes the data and generates a detailed health report.

4. The smart home linkage and intelligent system based on user physical fitness data according to claim 3 is characterized by: The health report includes an assessment of the user's current health status, potential health problems, and personalized living and dietary recommendations.

5. The smart home linkage and intelligent system based on user physical fitness data according to claim 4 is characterized by: The user terminals include smart phones, tablet computers and smart mirrors.

6. The smart home linkage and intelligent system based on user physical data according to claim 5, characterized in that: The data collected by the data collection module include body weight, body fat percentage, BMI and muscle mass.

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