Home-based old-age care service system based on Internet of Things technology

Abstract

The invention discloses a home-based care service system based on the Internet of Things technology, and relates to the technical field of Internet of Things, in particular to a system for improving the home-based care service quality of old people by utilizing the modern information technology, especially the Internet of Things technology. According to the system, various intelligent devices and sensors are integrated, real-time monitoring and management of the health condition and the living state of the old people are achieved, and therefore safer, more convenient and more personalized old people care services are provided for the old people.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things applications, and in particular to an intelligent system applied to home-based elderly care services. Background Art

[0002] As the global population aging problem continues to intensify, the demand for home-based elderly care is growing, and the elderly and their families have higher and higher expectations for efficient and personalized elderly care service systems. Traditional home-based elderly care services usually rely on manual provision, and have problems such as low service efficiency, high cost, and poor timeliness, making it difficult to meet the needs of rapid response and meticulous care. In addition, the uncertainty and diversity of the health status of the elderly require that the elderly care service system be able to monitor in real time and quickly adapt to various emergencies.

[0003] In this context, the introduction of IoT technology is considered one of the key technologies to improve the quality of elderly care services. IoT technology can monitor the physiological data and living environment of the elderly in real time, obtain key information in a timely manner, and provide corresponding services or warnings through data analysis through networking means such as sensors and smart devices. However, there is still a lack of a complete system in the market that can comprehensively use IoT technology to conduct all-round real-time monitoring and intelligent management of the health status, living habits and environmental safety of the elderly.

[0004] Therefore, it is imperative to develop a home-based elderly care service system based on the Internet of Things technology. The system needs to be able to integrate a variety of smart devices and sensors to achieve real-time monitoring of the health status and living conditions of the elderly, and provide comprehensive services such as security, disease prevention, health advice, and emergency response to improve the efficiency and quality of elderly care services and provide the elderly with a safer and more convenient home-based elderly care experience. Summary of the invention

[0005] The present invention provides a home-based elderly care service system based on the Internet of Things technology, which aims to solve many deficiencies in existing elderly care services, such as the timeliness, personalization and low intelligence of services. By integrating the latest Internet of Things technology, the system can achieve real-time monitoring and management of the health status and living conditions of the elderly, and provide safe, convenient and personalized elderly care services.

[0006] 1. System composition and functions

[0007] The home-based elderly care service system of the present invention is mainly composed of the following core components.

[0008] Smart monitoring module: This module is equipped with a variety of sensors and smart devices, such as heart rate monitors, blood pressure monitors, activity monitors, sleep trackers, etc., to collect health data and daily activity information of the elderly in real time. All devices are wirelessly connected to the system's central database to achieve instant data updates and long-term storage.

[0009] Data Processing Center: This is the brain of the system, responsible for receiving data from the intelligent monitoring module and using advanced data analysis algorithms to analyze and process the data in real time. The data processing center is able to identify abnormal patterns in the data, assess the health status of the elderly, and adjust the service plan based on the analysis results.

[0010] User interface: Designed as an easy-to-use application or device, it enables seniors and their families to easily view health data, receive health tips, set reminders, and adjust personalized service settings. In addition, the interface includes an emergency call function, allowing users to quickly contact medical service personnel or family members when needed.

[0011] Emergency response system: When the system detects any abnormality or danger signal, the emergency response system will be activated immediately and automatically notify the preset family members and medical service providers. The system can integrate location services to ensure that the location of the elderly can be quickly and accurately located in an emergency.

[0012] Service recommendation engine: Based on the specific needs and preferences of each elderly person, the recommendation engine can provide personalized service recommendations. This includes daily life assistance, health management plans, social activity recommendations, etc. The recommendation system uses machine learning technology to continuously learn and optimize to provide more considerate services.

[0013] 2. Technical features and innovations

[0014] The technical innovation and advantages of the present invention are mainly reflected in the following aspects.

[0015] Comprehensive monitoring and personalized services: Through the combined use of multiple sensors and smart devices, the system can comprehensively monitor the health status and living habits of the elderly and provide targeted personalized services.

[0016] Real-time data processing and intelligent analysis: Introducing advanced data processing and machine learning algorithms to conduct real-time analysis and intelligent processing of large amounts of collected data to ensure the timeliness and accuracy of services.

[0017] Easy-to-use user interaction design: Taking into account the operational difficulties that the elderly may face, the user interaction interface is specially designed to be simple and intuitive, with large fonts and high-contrast colors, so that the elderly can also use it easily.

[0018] Emergency response mechanism: The introduction of the emergency response system has greatly improved the safety of the system. Once a major health problem or other emergency is detected, the system can respond quickly and shorten the rescue time.

[0019] 3. Application Effect and Expected Impact

[0020] It is expected that the promotion and implementation of the present invention will bring a series of positive impacts to the home-based elderly care service industry. First, it will greatly improve the safety and comfort of home-based elderly care for the elderly and reduce the burden on families and society. Secondly, the intelligent and personalized services of the system will improve the quality of life of the elderly, enabling them to live healthier and more independently. Finally, in the long run, the application of the present invention will promote the development and innovation of related technologies and promote the sustainable and healthy development of the smart elderly care industry.

[0021] In summary, the home-based elderly care service system based on the Internet of Things technology of the present invention provides a safe, convenient and personalized home-based elderly care solution for the elderly through highly integrated intelligent devices and advanced data analysis technology, which has important social value and broad market prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Attached Figure 1 :System architecture diagram, this diagram shows the overall architecture of the home-based elderly care service system of the present invention, including the information flow and processing flow between the intelligent monitoring module, data processing center, user interaction interface, emergency response system and service recommendation engine. The diagram also indicates key links such as data storage and network connection, providing a macro perspective for understanding the working principle of the system.

[0023] Attached Figure 2 : Schematic diagram of the smart monitoring module, which details the various sensors and devices used in the smart monitoring module, such as heart rate monitors, activity monitors, and sleep trackers, and how they are wirelessly connected to the home LAN and further transmit data to the cloud server. The device configuration and connection methods shown in this figure are particularly important for understanding the initial data collection and transmission process.

[0024] Figure 3 Data flow diagram for safe positioning and health detection. DETAILED DESCRIPTION

[0025] The invention discloses a home-based elderly care service system based on the Internet of Things technology, which aims to realize comprehensive monitoring and management of home-based elderly care through highly integrated technical means, thereby providing more personalized, safe and reliable services. This embodiment will elaborate on the deployment, operation and maintenance process of the system to ensure that the system can effectively implement its design goals.

[0026] 1. System deployment

[0027] Environmental preparation: First, install the necessary hardware equipment in the elderly's living environment, including various sensors (such as heart rate monitors, activity monitors), smart terminals, and network equipment. These devices need to be reasonably laid out to ensure signal coverage and minimize environmental interference.

[0028] Network configuration: All hardware devices must be connected to the home LAN and have a stable Internet connection to facilitate real-time data upload to the cloud server. Use secure network protocols such as SSL / TLS to encrypt data transmission and protect user privacy and data security.

[0029] System installation: deploy the data processing center and service recommendation engine on the server side, configure the database and application programs, and ensure that all modules of the system can interact and run smoothly.

[0030] Preliminary testing: Conduct preliminary functional and performance tests to ensure that all equipment is functioning properly and that each part of the system can accurately perform its intended tasks.

[0031] 2. System Operation

[0032] Data collection: The intelligent monitoring module continuously collects the health data and daily activity information of the elderly, such as heart rate, blood pressure, sleep quality, activity level, etc., and uploads it to the cloud server in real time through the home LAN.

[0033] Data analysis: The data processing center analyzes the received data in real time. It uses data mining and machine learning techniques to identify any abnormal indicators or potential health risks, such as abnormal heart rate, sudden decrease in activity, etc., and generates corresponding health reports.

[0034] Information feedback: Through the user interface, the elderly and their families can view real-time health data and historical trends, and receive professional health advice and warnings.

[0035] Emergency response: When a serious abnormality is detected, the emergency response system is immediately activated, automatically notifying the preset medical service personnel and family members to ensure that necessary medical assistance is delivered in a timely manner.

[0036] Service recommendation: Based on the analyzed data and the preferences of the elderly, the service recommendation engine recommends appropriate health management plans, suitable daily activities or beneficial social activities to users.

[0037] 3. User Interaction

[0038] Simple interface: Design an easy-to-navigate user interface with large fonts, high-contrast colors, and simplified operation processes, taking into account the vision and operating habits of the elderly.

[0039] Regular updates: Based on the feedback from the elderly and changes in their health conditions, the interface content and functions are updated regularly to maintain the affinity and effectiveness of the system.

[0040] 4. System Maintenance

[0041] Regular inspection: Regularly inspect and maintain all hardware devices in the system to ensure stable operation of the equipment and data accuracy.

[0042] Software Updates: Regularly update system software, including data processing algorithms and user interface, to introduce new features and improvements and improve overall system performance and security.

[0043] Customer Support: Set up a customer support hotline and online help to solve problems encountered by users during use and collect user feedback for subsequent improvements.

[0044] V. Effect Evaluation and Optimization

[0045] User satisfaction survey: Conduct user satisfaction surveys regularly to understand the elderly and their families’ evaluation of system services and collect suggestions for improvement.

[0046] Performance evaluation: Regularly evaluate system performance, including data processing speed, accuracy, system stability, etc., to ensure efficient operation of the system.

[0047] Continuous optimization: Based on user feedback and performance evaluation results, we continuously adjust and optimize the system to improve service quality and better meet user needs.

[0048] Through the above specific implementation scheme, the home-based elderly care service system of the present invention can operate effectively and provide a safe, comfortable and efficient smart elderly care environment for the elderly. The implementation and maintenance of the system requires continuous attention to technological innovation and user feedback to adapt to the ever-changing needs and challenges, and ultimately achieve the goal of improving the quality of life of the elderly.

Claims

1. A home-based elderly care service system based on Internet of Things technology, It is characterized in that Use a variety of sensors and smart devices to monitor and analyze the physiological and behavioral data of the elderly in real time.

2. The system according to claim 1, It is characterized in that It includes intelligent monitoring module, data processing center, user interaction interface, emergency response system and service recommendation engine.

3. The system according to claim 1, It is characterized in that The data processing center is used to analyze and process the collected data in real time to assess the health status of the elderly.

4. The system according to claim 1, It is characterized in that The user interface allows seniors and their families to view health data and receive relevant health tips and warnings.

5. The system according to claim 1, It is characterized in that The emergency response system can automatically notify medical service providers and the elderly’s family members when abnormal health conditions are detected in the elderly.

6. The system according to claim 1, It is characterized in that The service recommendation engine provides personalized life and health service suggestions based on the health data and living habits of the elderly.

7. The system according to claim 1, It is characterized in that Smart monitoring modules include but are not limited to heart rate monitors, activity monitors, and sleep monitoring devices.

8. The system according to claim 1, It is characterized in that Includes a telemedicine consultation interface that allows seniors to communicate directly with healthcare providers via video or audio through the system.

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