Generative large model for personalized old-age care demand and intelligent configuration of old-age-suitable equipment

Abstract

The invention discloses a personalized old-age care demand and old-age-suitable equipment intelligent configuration generation type large model, and the key points of the technical scheme are that the personalized old-age care demand and old-age-suitable equipment intelligent configuration generation type large model comprises a server, the system is characterized in that the server is connected with a health-care demand big database and an intelligent equipment product big database which are established by multivariate comprehensive data elements; the health-care demand big database and the intelligent equipment product big database take factors such as personnel characteristics and site environment as correlation factors and are listed into model elements; and the health-care demand big database and the intelligent equipment product big database are automatically matched when the server issues an instruction. According to the invention, personalized services can be realized: through intelligent analysis and evaluation, accurate matching of facility equipment products and requirements of pension personnel is realized, a personalized product configuration scheme is provided, and the satisfaction and happiness of the pension services are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent health elderly care, and particularly relates to a generative large model for personalized elderly care needs and intelligent configuration of elderly-friendly devices. Background Art

[0002] With the in-depth development of the intelligent upgrading action of the elderly-friendly transformation of elderly care service enterprises under the high-quality development of the country, intelligent health elderly care has become a hot topic of social concern and a new industry giant. However, there are numerous types of intelligent device products on the market, with thousands of functional models. In current specific work, industry enterprises face a series of problems in the configuration of specific intelligent facilities and equipment for home-based elderly care:

[0003] Lack of personalization: In government-funded livelihood projects and the elderly-friendly transformation in the enterprise market, the configuration of facilities and equipment often adopts a "one-size-fits-all" approach, making it difficult to meet the personalized needs of different elderly people.

[0004] Low configuration efficiency: The traditional configuration method requires manual assessment of the needs of the elderly and then manual selection of the configuration plan. The process is cumbersome and time-consuming. When dealing with numerous product devices, manual operation may lead to insufficient understanding and incomplete information, resulting in difficulty in making choices.

[0005] Risk of configuration loopholes: Elderly people with different home types, age stages, and physical conditions have different functional requirements for elderly-friendly and intelligent products. Especially in aspects such as human body monitoring and protection, health and safety, and intelligent response to risks, an incomplete product solution will cause risks left by the functional design of the product and leave hidden dangers.

[0006] Poor service experience: Due to the lack of pertinence and effectiveness of the configuration plan, the usage experience of the elderly is often not satisfactory.

[0007] Therefore, developing a large model that can automatically analyze and evaluate to match the needs of the elderly, fully meet personalized needs, and intelligently generate a personalized facility and equipment configuration plan has important practical significance and application value. Summary of the Invention

[0008] Aiming at the problems mentioned in the background art, the purpose of the present invention is to provide a generative large model for personalized elderly care needs and intelligent configuration of elderly-friendly devices to solve the problems mentioned in the background art.

[0009] The above technical purpose of the present invention is achieved through the following technical solutions:

[0010] A generative large model for personalized elderly care needs and intelligent configuration of elderly-friendly devices, including a server, which is connected to a large database of elderly care needs established with multiple comprehensive data elements and a large database of intelligent device products; the large database of elderly care needs and the large database of intelligent device products use factors such as personal characteristics and site environment as correlation factors and are included in the model elements; the large database of elderly care needs and the large database of intelligent device products are automatically matched when the server issues an instruction, and user portraits are processed according to the basic conditions of personnel in the large database of elderly care needs and the large database of intelligent device products, and solutions are analyzed and given according to the user portraits, personnel stages, and existing basic investigation information of current home elderly care; it also includes an information collection module, an intelligent analysis and evaluation module, and a personalized configuration generation module.

[0011] Preferably, the basic information collected by the large database of elderly care needs includes: basic information for the investigation of home elderly-friendly needs, including but not limited to the following:

[0012] Basic information of the elderly: including age, gender, and health status information;

[0013] Basic information of living habits: including information on daily activities, work and rest patterns, and eating habits;

[0014] Basic information of living conditions: including information on house structure, area, and decoration;

[0015] Basic information of environmental factors: including information on season, weather, temperature, and noise.

[0016] Preferably, the large database of elderly care needs collects information on the needs of elderly-friendly products and services for household members; the information on the needs of elderly-friendly products and services for household members includes product equipment information and service information.

[0017] Preferably, the information on the needs of elderly-friendly products and services for household members includes:

[0018] Medical and health care needs information: including online medical treatment, convenient drug purchase, home care, and remote care information;

[0019] Safety needs information: including emergency call, fall detection, and intrusion alarm information;

[0020] Health monitoring needs information: including information on monitoring health indicators such as blood pressure, blood sugar, and heart rate;

[0021] Social needs information: including information on communication methods and frequencies with family members and friends;

[0022] Living needs information: including housekeeping service information such as cleaning assistance, meal assistance, mobility assistance, medical assistance, and shopping assistance;

[0023] Entertainment demand information: including information on video and audio products and equipment, learning, education, and training services.

[0024] Preferably, the server is connected to an elderly-friendly product database; the elderly-friendly product database includes a sub-database for elderly-friendly renovation, a sub-database for elderly aids, and a sub-database for rehabilitation equipment.

[0025] Preferably, the elderly-friendly product database is connected to an elderly-friendly product model library; the construction method of the elderly-friendly product model library is: classifying elderly-friendly products into multiple categories, including safety protection products and health monitoring products.

[0026] Preferably, the elderly-friendly product model library is connected to a data collection and preprocessing module, and the data collection and preprocessing module.

[0027] Preferably, the server uses an intelligent generation algorithm to perform data screening and intelligent matching from the large database of elderly care needs and the large database of intelligent device products.

[0028] In summary, the present invention mainly has the following beneficial effects:

[0029] The present invention can achieve personalized services: through intelligent analysis and evaluation, it realizes the precise matching of facilities, equipment, and products with the needs of the elderly, provides personalized product configuration plans, and improves the satisfaction and happiness of elderly care services. The present invention is efficient and convenient: the automated process significantly improves the product configuration efficiency, reduces the burden on the elderly and their families, and at the same time reduces the operating costs of enterprises. The present invention can achieve the matching of demand functions: it uses a dynamic, comprehensive, and complete personal demand research scale to perform intelligent matching based on a powerful module of the big data model. The present invention can achieve continuous optimization: the model has the ability of self-learning and self-optimization, and can continuously optimize the product configuration plan according to the usage feedback of the elderly and the changes in market demand, improving the service quality and user experience. Specific embodiments

[0030] Next, the technical solutions in the embodiments of the present invention will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0031] Embodiment 1

[0032] A generative large model for personalized elderly care needs and intelligent configuration of elderly-friendly devices, including a server, which is connected to a large database of elderly care needs established with multiple comprehensive data elements and a large database of intelligent device products; the large database of elderly care needs and the large database of intelligent device products use factors such as personal characteristics and site environment as correlation factors and are included in the model elements; the large database of elderly care needs and the large database of intelligent device products are automatically matched when the server issues instructions, and user profiling is performed based on the basic conditions of the people in the large database of elderly care needs and the large database of intelligent device products. Analyses are carried out according to the user profile, the stage of the person, and the existing basic investigation information of current home-based elderly care, and solutions are given.

[0033] A generative large model for personalized elderly care needs and intelligent configuration of elderly-friendly devices further includes the following main module units: an information collection module, an intelligent analysis and evaluation module, and a personalized configuration generation module.

[0034] Information collection module: It includes three categories of key data information: (1) Collect multi-dimensional demand information such as the health data, living habits, hobbies, and behavioral abilities of home-based elderly care personnel; (2) Product equipment and service-related databases and corresponding system modules (which may include specific elderly care service options such as medical care, elderly care, management, business, and travel); (3) Actual information such as elderly care conditions and scene environments, such as living alone or empty-nest, suites or single rooms, indoor or outdoor, bedrooms, bathrooms, living rooms, climate, temperature, season, weather, temperature, noise, etc. These information are transmitted to the storage and processing end of the model in real time through Internet of Things technology.

[0035] Intelligent analysis and evaluation module: Use machine learning algorithms to deeply analyze the collected data, and evaluate the health status, self-care ability, hobbies, and potential needs of elderly care personnel. By comparing the characteristics of different elderly care personnel, identify common needs and individual differences.

[0036] Personalized configuration generation module: Based on the results of intelligent analysis and evaluation, automatically generate a personalized configuration plan for home facilities and equipment products. The plan includes intelligent wearable devices, smart home control systems, health monitoring devices, entertainment and learning devices, non-sensing products, imaging devices, bedding products, etc., to meet the actual needs of elderly care personnel with different functions, applications, and categories.

[0037] Among them, the basic information collected by the large database of elderly care needs includes: Basic information for home-based elderly-friendly needs research, including but not limited to the following content:

[0038] Basic information of the elderly: including age, gender, and health status information;

[0039] Basic information of living habits: including daily activities, work and rest patterns, and eating habits information;

[0040] Basic information on living conditions: including information on housing structure, area, and decoration status;

[0041] Basic information on environmental factors: including information on season, weather, temperature, and noise.

[0042] Among them, the large database of elderly care needs collects information on the needs of home residents for elderly-friendly product services; the information on the needs of home residents for elderly-friendly product services includes product equipment information and service information.

[0043] Among them, the information on the needs of home residents for elderly-friendly product services includes:

[0044] Medical and health care needs information: including information on seeking medical treatment online, convenient drug purchase, home nursing, and remote care;

[0045] Safety needs information: including information on emergency call, fall detection, and intrusion alarm;

[0046] Health monitoring needs information: including information on monitoring health indicators such as blood pressure, blood sugar, and heart rate;

[0047] Social needs information: including information on the communication methods and frequencies with family members and friends;

[0048] Living needs information: including information on housekeeping services such as cleaning assistance, meal assistance, mobility assistance, medical assistance, and shopping assistance;

[0049] Entertainment needs information: including information on video and audio products and equipment, learning, education, and training services.

[0050] Among them, the server is connected to a database of elderly-friendly products; the database of elderly-friendly products includes a sub-database for elderly-friendly renovation, a sub-database for elderly aids, and a sub-database for rehabilitation equipment.

[0051] Among them, the database of elderly-friendly products is connected to a model library of elderly-friendly products; the method for constructing the model library of elderly-friendly products is: classifying elderly-friendly products into multiple categories, including safety protection products and health monitoring products.

[0052] Among them, the model library of elderly-friendly products is connected to a data collection and preprocessing module, the data collection and preprocessing module.

[0053] Among them, the server uses an intelligent generation algorithm to perform data screening and intelligent matching from the large database of elderly care needs and the large database of intelligent device products.

[0054] Among them, the present invention can achieve personalized services: through intelligent analysis and evaluation, it realizes the precise matching of facility equipment products and the needs of the elderly, provides personalized product configuration solutions, and improves the satisfaction and happiness of elderly care services. The present invention is efficient and convenient: the automated process significantly improves the product configuration efficiency, reduces the burden on the elderly and their families, and at the same time reduces the operating costs of enterprises. The present invention can achieve demand-function matching: it adopts a dynamic, comprehensive, and complete personal needs research scale and conducts intelligent matching based on a big data model with powerful modules. The present invention can achieve continuous optimization: the model has the ability of self-learning and self-optimization, and can continuously optimize the product configuration solution according to the usage feedback of the elderly and the changes in market demand, improving the service quality and user experience.

[0055] This application also relates to the key technologies and algorithm optimization of a generative large model for intelligent configuration of personalized elderly care needs and elderly-friendly devices.

[0056] In the design process of the intelligent generation algorithm, we adopted a variety of key technologies, such as data mining, machine learning, natural language processing, etc. These technologies helped us achieve in-depth mining and analysis of the information of the elderly, as well as the intelligent generation of solutions. At the same time, in order to improve the accuracy and efficiency of the algorithm, we optimized the algorithm many times.

[0057] In order to more accurately predict the future needs of the elderly, we introduced a demand prediction model based on deep learning. Through deep learning technology, this model can automatically learn and extract useful features from a large amount of data, and then achieve the accurate prediction of the needs of the elderly. This enables us to better meet their needs and provide more personalized services.

[0058] In order to improve the efficiency of the algorithm, we adopted a heuristic search algorithm to find the optimal elderly-friendly solution model. The heuristic search algorithm can find a solution close to the optimal within a limited time, thus accelerating the generation speed of the solution. This enables us to provide high-quality elderly-friendly solutions for the elderly in a short time and improve the service efficiency.

[0059] In order to evaluate the performance of the algorithm and ensure its effectiveness, we adopted a variety of evaluation metrics for comprehensive evaluation. This includes common evaluation metrics such as accuracy, recall rate, F1 score, repair rate, error rate, vulnerability rate, etc. Through the evaluation of these metrics, we can objectively measure the effect of the algorithm and conduct corresponding optimization and improvement for the deficiencies.

[0060] We also developed a detailed optimization strategy to address various problems that may occur in the actual application of the algorithm. For example, we established an algorithm performance monitoring system to monitor the running status and performance metrics of the algorithm in real time. This system can timely detect and warn of potential problems, thus helping us to optimize and adjust in a timely manner.

[0061] In addition, we have also established a user feedback mechanism to collect opinions and suggestions from users on the age-friendly solution model generated by the algorithm. Through user feedback and evaluation, we can understand their real needs and feelings, so as to optimize and improve the algorithm in a targeted manner. This helps to improve the quality of our services and ensure that the algorithm always meets the needs and expectations of users.

[0062] Example 2

[0063] The generative large model for personalized elderly care needs and intelligent configuration of age-friendly devices will match the large database of healthcare needs and the large database of intelligent device products established with multiple comprehensive data elements automatically under the large model, taking factors such as personal characteristics and site environment as correlation factors and including them in the model elements. Based on the "basic conditions" of the person, this system conducts "user profiling". According to the survey information such as user profiling, personal stage, and the existing foundation of current home-based elderly care, through large model analysis, solutions in aspects such as "age-friendly renovation", "intelligent device products", and "supporting services" are given to solve problems such as the lack of personalization in the configuration of intelligent facilities and equipment for home-based elderly care, low configuration efficiency, configuration vulnerability risks, and poor service experience in the existing technology.

[0064] The age-friendly product database (basic and demand information content) adopted by the present invention includes an elderly care demand database:

[0065] 1. Basic information:

[0066] The home-based age-friendly demand research (basic information) includes but is not limited to the following content:

[0067] Basic information of the elderly: age, gender, health status;

[0068] Living habits: daily activities, work and rest patterns, eating habits;

[0069] Living conditions: house structure, area, decoration situation;

[0070] Environmental factors: season, weather, temperature, noise;

[0071] 2. Home-based personnel's age-friendly product service needs:

[0072] It can be considered to divide into two items of product equipment and services to correspond to the intelligent home devices (types, functions) and professional service needs required by age-friendly personnel.

[0073] The main types of needs of the elderly can include: medical, rehabilitation, nursing, hygiene, security, commerce, entertainment, care, travel, study, comfort (consolation), consultation, etc. Examples are as follows:

[0074] Medical and health needs: Seeking medical treatment online, convenient drug purchase, home care, remote care;

[0075] Safety needs: Emergency call, fall detection, intrusion alarm;

[0076] Health monitoring needs: Monitoring of health indicators such as blood pressure, blood sugar, heart rate, etc.;

[0077] Social needs: Communication methods and frequencies with family and friends;

[0078] Living needs: Domestic services such as cleaning assistance, meal assistance, mobility assistance, medical assistance, shopping assistance, etc.;

[0079] Entertainment needs: Audio-visual product equipment; Learning, education, training services, etc.;

[0080] Other needs: Such as customized and special needs for special patients, convalescent periods, etc.;

[0081] The database of elderly-friendly products adopted by the present invention: Build a database for product equipment according to the above needs, which can be divided into two categories: elderly-friendly products (services) and intelligent products (services):

[0082] Elderly-friendly products (services) are divided into: elderly-friendly renovation categories, elderly aids categories, rehabilitation equipment categories;

[0083] Intelligent product categories: Can include intelligent detection categories, intelligent monitoring categories, intelligent security categories, smart home categories, intelligent elderly care categories, etc.;

[0084] The existing conditions of users, through list surveys, paper to electronic files, are input into the large model system for analysis and reference. The content of the form can be filled in with categories such as the software and hardware conditions for users' elderly care, the usual contacts and assistance status of family children, and existing social services, using specific product and service names, etc., to be used as exclusion items when the large model solution is given to enhance the feasibility of the solution.

[0085] Product and demand model development:

[0086] (1) Construction of the elderly-friendly product model library:

[0087] With the rapid arrival of the aging society, elderly-friendly products have gradually become an important means to meet the daily living needs of the elderly and improve the quality of life. In order to better meet the market demand, we start to build a comprehensive and professional elderly-friendly product model library.

[0088] (2) Product model classification and screening criteria:

[0089] When constructing the product model library for the elderly, full consideration was given to the physical and psychological characteristics of the elderly, and the product models were divided into multiple detailed categories. For example, the safety protection category includes various anti-slip facilities, emergency call systems, etc., aiming to ensure the home safety of the elderly; the life assistance category covers smart home devices, personal care products, etc., to help the elderly better cope with various challenges in daily life; health monitoring products such as smart blood pressure monitors and blood glucose meters monitor the health status of the elderly in real time and escort their health. When screening product models, not only the practicality and comfort of the products were considered, but also special attention was paid to the degree of intelligence and the technical implementation possibility of the products. In-depth cooperation was carried out with industry experts and representatives of the elderly to ensure that the product models stored in the library can truly meet the needs of the elderly and can be seamlessly docked with the smart Internet of Things system technically.

[0090] (III) Product model data collection and preprocessing:

[0091] To build a comprehensive and accurate product model library, a variety of data collection methods were adopted. A large amount of information about the needs and expectations of the elderly for products suitable for the elderly was collected, and the feedback information data of the equipment monitoring technology applications currently used in the smart elderly care engineering projects were also utilized, such as the performance test and effect evaluation information of various products suitable for the elderly.

[0092] After the data collection was completed, data preprocessing work was carried out. First, the collected data was cleaned to remove invalid and duplicate data. Then, the data was subjected to format conversion and standardization processing to ensure the accuracy and consistency of the data. These preprocessing works provided reliable data support for the subsequent construction of product models.

[0093] (IV) Product model library design and implementation:

[0094] Based on the preprocessed data, the product model library for the elderly was designed and implemented. This library not only contains the basic information of various product models, such as product name, functional characteristics, applicable scenarios, etc., but also provides rich query and screening functions. Users can quickly find suitable product models according to their own needs and preferences. At the same time, a detailed introduction and usage tutorial are also provided for each product model to facilitate users to understand and use.

[0095] Intelligent generation algorithm design:

[0096] 1. Basic principles and processes of the algorithm

[0097] The intelligent generation algorithm is an automated design method based on artificial intelligence technology, aiming to provide more personalized and considerate aging-friendly products and services for the elderly. Its basic principle is to comprehensively analyze the multi-dimensional information of the elderly to identify their potential needs and preferences. This information can include various aspects such as the age, gender, physical condition, living habits, and hobbies of the elderly. Through in-depth exploration and comprehensive analysis of this information, the intelligent generation algorithm can more accurately grasp the needs and preferences of the elderly.

[0098] In the requirements analysis stage, the intelligent generation algorithm will conduct in-depth exploration and comprehensive analysis of the collected information to identify the specific needs and preferences of the elderly. These needs and preferences may include functional requirements for products, appearance design requirements, usage experience requirements, etc. Through accurate analysis of these needs and preferences, the algorithm can provide strong support for subsequent model screening and solution generation.

[0099] Based on the needs and preferences of the elderly, the intelligent generation algorithm will screen suitable product models from the product model library. These product models may include household furniture, medical devices, rehabilitation equipment, etc. Through screening and evaluation of these product models, the algorithm can identify the product model that best matches the needs of the elderly.

[0100] In the solution generation stage, the intelligent generation algorithm will generate the final aging-friendly solution model based on the screened product models. This solution model will detail the design solution, functional features, usage methods, etc. of the product. Through generation and optimization of these solutions, the algorithm can provide more personalized and considerate aging-friendly products and services for users or the elderly.

[0101] Finally, in the result output stage, the intelligent generation algorithm will present the generated aging-friendly solution model to the elderly. In this process, the algorithm will adopt an easy-to-understand and acceptable way to present the solution model to users or the elderly so that they can better understand and accept it. At the same time, the algorithm will also continuously optimize and improve according to the feedback and opinions of the elderly to enhance the practicality and satisfaction of the solution.

[0102] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A large-scale model for generating personalized elderly care needs and intelligent configuration of elderly-friendly equipment, including a server, characterized in that: The server is connected to a large database of health care needs and a large database of smart device products established with multiple comprehensive data elements; the large database of health care needs and the large database of smart device products are included in the model elements with factors such as personnel characteristics and site environment as correlation factors; the large database of health care needs and the large database of smart device products are automatically matched when the server issues instructions, and user portrait processing is performed based on the basic conditions of personnel in the large database of health care needs and the large database of smart device products, and analysis is performed and solutions are given according to user portraits, personnel stages, and existing basic survey information on family care; it also includes an information collection module, an intelligent analysis and evaluation module, and a personalized configuration generation module.

2. According to claim 1, a large-scale generative model for personalized elderly care needs and intelligent configuration of elderly-friendly equipment is characterized by: The basic information collected by the health care demand database includes: basic information on home-based aging demand survey, including but not limited to the following: Basic information of the elderly: including age, gender, and health status; Basic information about living habits: including daily activities, work and rest patterns, and eating habits; Basic information on living conditions: including house structure, area, and decoration; Basic information on environmental factors: including season, weather, temperature, and noise information.

3. According to claim 2, a large-scale generative model for personalized elderly care needs and intelligent configuration of elderly-friendly equipment is characterized by: The big database of health care needs collects information on the needs of household personnel for elderly-friendly products and services; the information on the needs of household personnel for elderly-friendly products and services includes product equipment information and service information.

4. According to claim 3, a large-scale generative model for personalized elderly care needs and intelligent configuration of elderly-friendly equipment is characterized by: The household personnel's demand information for elderly-friendly products and services includes: Medical and health demand information: including online medical consultation, convenient drug purchase, home care, and remote care information; Security demand information: including emergency calls, fall detection, and intrusion alarm information; Health monitoring demand information: including blood pressure, blood sugar, and heart rate health indicator monitoring information; Social needs information: including information on communication methods and frequency with family and friends; Information on daily living needs: including cleaning assistance, dining assistance, walking assistance, medical assistance, and housekeeping assistance; Entertainment demand information: including information on film and video products and equipment, learning, education, and training services.

5. According to claim 1, a large-scale generative model for personalized elderly care needs and intelligent configuration of elderly-friendly equipment is characterized by: The server is connected to a database of products suitable for the elderly; the database of products suitable for the elderly includes a sub-database of suitable for the elderly transformation, a sub-database of assistive devices for the elderly, and a sub-database of rehabilitation equipment.

6. According to claim 5, a large-scale generative model for personalized elderly care needs and intelligent configuration of elderly-friendly equipment is characterized by: The database of elderly-friendly products is connected to a model library of elderly-friendly products; the method for constructing the model library of elderly-friendly products is as follows: elderly-friendly products are divided into multiple categories, including safety protection products and health monitoring products.

7. According to claim 1, a large-scale generative model for personalized elderly care needs and intelligent configuration of elderly-friendly equipment is characterized by: The aging-friendly product model library is connected to a data acquisition and preprocessing module.

8. According to claim 1, a large-scale generative model for personalized elderly care needs and intelligent configuration of elderly-friendly equipment is characterized by: The server uses an intelligent generation algorithm to perform data screening and intelligent matching from a large database of health care needs and a large database of smart device products.