Intelligent old-age care service information interaction device and system thereof

Abstract

The invention discloses an intelligent old-age care service information interaction device and a system thereof, relates to the technical field of intelligent old-age care, and aims to solve the problems that the existing system often lacks effective data integration, so that information is dispersed among different platforms or equipment, and comprehensive user health archives are not easy to form. Therefore, the problems of incomplete monitoring and untimely response exist in intelligent old-age care service interaction, the conditions of the old cannot be accurately mastered in real time, and effective help is difficult to provide in time under emergency situations, the unified user health file is established, support is provided for personalized services, and the intelligent old-age care service interaction system can be used for providing a health record for the old by means of edge calculation and real-time data processing capability. The response speed of the system is greatly improved, almost real-time health monitoring and emergency handling are achieved, a safety monitoring system, a life auxiliary system and a health care system are combined, information interaction and sharing are achieved, a collaborative old-age care service system is formed, and the overall efficiency and quality of old-age care services are improved.

Description

Technical Field

[0001] The present invention relates to the field of smart elderly care technology, and in particular to a smart elderly care service information interaction device and system thereof. Background Art

[0002] The smart elderly care service information interaction system is a system that uses modern information technology, especially the Internet of Things, big data, cloud computing, artificial intelligence, and mobile communications to provide comprehensive home-based elderly care service solutions for the elderly.

[0003] In this regard, the patent document with publication number CN113095982B discloses a smart elderly care service system. It includes an elderly care service platform, which includes a service inquiry unit, a service selection unit, an off-site interaction unit and a storage unit. In the present invention, information interaction is performed by sensing the heat signal generated by the inquiry module. In this implementation, different expression information corresponds to a time interval of heat output, and information is output by changing the length of the time interval to achieve the purpose of information transmission, solving the problem of communicating with elderly people who cannot speak, see or read. In addition, the action recognition module is used to select the action recognition of the elderly, solving the problem of communicating with elderly people who cannot speak.

[0004] In this regard, the patent document with publication number CN106169167A discloses a management method, device and system of a smart elderly care service cloud platform, which involves the field of smart elderly care. The method of the present invention includes: obtaining basic information of the elderly collected through the health management system; determining the nursing level of the elderly according to the basic information of the elderly; sending the nursing level to the positioning warning system, so that the positioning warning system collects the current location information of the elderly according to the preset period; monitoring whether the current location information of the elderly exceeds the preset location range; when monitoring the current location information of the elderly exceeds the preset location range, sending an alarm message to the nursing management system, so that the staff of the nursing management system manages the elderly according to the alarm information. The present invention can effectively integrate resources, perform data processing and analysis on the elderly, and provide various services to the elderly and their families.

[0005] Existing systems often lack effective data integration, resulting in information being scattered across different platforms or devices, which is not conducive to forming a comprehensive user health profile. As a result, there are problems with incomplete monitoring and untimely response in the interaction of smart elderly care services. It is impossible to accurately grasp the elderly's condition in real time, and in emergencies, it is difficult to provide effective help in a timely manner.

[0006] In view of the above problems, a smart elderly care service information interaction device and system are proposed. Summary of the invention

[0007] The purpose of the present invention is to provide a smart elderly care service information interaction device and system thereof, which solves the problems in the background technology.

[0008] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a smart elderly care service information interaction device, comprising: intelligent equipment, aging-friendly equipment, and nursing service equipment;

[0009] The intelligent equipment includes a camera for collecting images, a mattress for monitoring vital signs, a smoke alarm, a water alarm, a gas leak alarm, an emergency call, a door magnetic sensor and a gateway;

[0010] Age-friendly equipment includes: bathing chairs, handrails, non-slip mats, and anti-collision corners;

[0011] Nursing service equipment includes mobile water heaters, intelligent nursing beds, nursing robots, stair climbing machines, electric wheelchairs, transfer machines and portable physical examination machines;

[0012] Create a user application and evaluation module in the smart elderly care information interaction device to establish the basic situation, health status and family situation of the elderly, establish a service plan based on the service order management module, and generate, allocate, execute and track the elderly service orders;

[0013] A system monitoring and alarm module is set in the smart elderly care information interaction device to monitor the mattress through physical signs, monitor the elderly's living conditions and vital signs in real time, and the system will issue an alarm when abnormalities are detected;

[0014] The data statistics and analysis module collects statistics on historical service volume and daily service volume, analyzes the data, and analyzes and evaluates the health status of the elderly;

[0015] Operation management module manages and supervises service personnel.

[0016] A system of smart elderly care service information interaction devices, the operation of the system monitoring and alarm modules, and the establishment of a safety monitoring system, a life assistance system and a health care system. The system monitoring and alarm modules are operated, and the establishment of a safety monitoring system, a life assistance system and a health care system.

[0017] Preferably, an image recognition algorithm is used to monitor the activities of the elderly in real time, and a target algorithm is used to detect the position and movement of the elderly. The camera collects video data in real time and converts it into a digital image sequence. The collected images are preprocessed by filtering, denoising, brightness and contrast adjustment, etc. to improve the accuracy and efficiency of subsequent processing. The target detection algorithm is applied to identify and locate the elderly and their behaviors in the image. For each independent frame, the algorithm outputs a series of prediction boxes about the position, category and confidence of the detected target. The detected actions are classified using a pre-trained model, where the action classification includes: sitting, standing, walking, and falling. This is achieved through a deep learning model. According to the detection results, the system analyzes the behavior patterns and activity status of the elderly, and stores the analysis results for subsequent status evaluation and health monitoring.

[0018] Preferably, histogram equalization is used to improve the visual effect of other images, and its formula is:

[0019] S=T(P)=C d (255-P) α ;

[0020] Where S is the adjusted value, T is the transformation function, C d is always on, α is the index that controls the brightness;

[0021] Used to calculate the offset of the prediction box,

[0022] t w ,t h ,t x ,t y =β+c x *x+c y *y+c w *w+c h *h;

[0023] (x, y, w, h) are the bounding box coordinates and dimensions, (t w ,t h ,t x ,t y ) is the offset of the prediction box, β,c x ,c y ,c w ,c h are model parameters.

[0024] 5. Preferably, in the life assistance system, the handrail usage counter records the frequency of use, and the handrail usage count increases by 1 each time it is used;

[0025] Bathing chairs and anti-slip mats are tested by pressure, and data is analyzed and judged. For the frequency of use of the armrests, the frequency of use of the armrests is set to F, and the normal frequency range is [Fmin, Fmax]. When F exceeds Fmax, it is judged that the elderly have difficulty standing or squatting.

[0026] Bath chairs and anti-slip mats monitor usage through pressure sensors, which detect changes in pressure and use the data to trigger actions or alarms.

[0027] 6. Preferably, in the life-assisting system, the pressure sensor of the bathing chair can record the number and strength of the elderly sitting down and standing up, and evaluate the independence and safety of the elderly bathing through the data, where the formula is as follows:

[0028]

[0029] If the dependence is high, the bathing plan will be adjusted; secondly, the risk factors will be evaluated by counting the use of anti-collision strips, where the formula is: fall risk index = F (number of falls, environmental changes), where F is a comprehensive function.

[0030] Preferably, in the health care system, the device collects blood pressure and weight, regularly measures the vital signs of the elderly, and tracks them over a long period of time, as expressed as:

[0031]

[0032] Preferably, data integration integrates data from different systems, establishes a central database or data warehouse, stores the integrated information, so that each system can access and share it, and establishes an information interaction mechanism to ensure that each system can send and receive information in a timely manner. Use message queues to achieve communication between systems, classify and mark the integrated information, and distribute it to the corresponding system or module according to the type and source of the information.

[0033] Preferably, a real-time monitoring system is established to monitor the information interaction process and detect abnormal situations in a timely manner.

[0034] Automatically trigger the early warning mechanism and send feedback information to relevant personnel.

[0035] Preferably, the handrail usage frequency data in the life assistance system is converted into a unified format; and the data in the health care system is merged.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present invention provides a smart elderly care service information interaction device and system, which utilizes big data analysis technology to integrate and process the collected multi-source data, establishes a unified user health profile, and provides support for personalized services. With the help of edge computing and real-time data processing capabilities, the response speed of the system is greatly improved, and near real-time health monitoring and emergency event processing are achieved. The safety monitoring system, life assistance system, and health care system are combined to achieve interactive sharing of information, form a coordinated elderly care service system, and improve the overall efficiency and quality of elderly care services. Through the analysis and judgment of equipment data, abnormal changes in the physical condition of the elderly can be detected early, and early warning and intervention can be carried out in time to delay the deterioration of the elderly's physical condition and improve the quality of life of the elderly. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the information interaction device of the present invention;

[0039] Figure 2 It is a schematic diagram of the structural information interaction system of the present invention;

[0040] Figure 3 It is a schematic diagram of comprehensive ability assessment of the elderly according to the present invention. DETAILED DESCRIPTION

[0041] 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.

[0042] In order to further understand the content of the present invention, the present invention is described in detail in conjunction with the accompanying drawings.

[0043] Combination Figure 1-Figure 3 , a smart elderly care service information interaction device of the present invention includes: intelligent equipment, aging-friendly equipment, and nursing service equipment;

[0044] The intelligent equipment includes a camera for collecting images, a mattress for monitoring vital signs, a smoke alarm, a water alarm, a gas leak alarm, an emergency call, a door magnetic sensor and a gateway;

[0045] Age-friendly equipment includes: bathing chairs, handrails, non-slip mats, and anti-collision corners;

[0046] Nursing service equipment includes mobile water heaters, intelligent nursing beds, nursing robots, stair climbing machines, electric wheelchairs, transfer machines and portable physical examination machines;

[0047] Create a user application and evaluation module in the smart elderly care information interaction device, and establish a basic information system for the elderly. The basic information includes: disease diagnosis and medication status table, health-related status table, self-care ability report, basic motor ability report, mental state report, perception and social participation status report; based on the basic information, it is used to evaluate the comprehensive ability of the elderly;

[0048] Secondly, collect health status and family situation, collect and register the name, contact information and emergency contact of the elderly; and divide the service objects into the following types according to the collected family situation:

[0049] They are divided into extremely poor elderly people, centenarians, elderly people in families receiving minimum living security or marginal living security, elderly people with dementia and disabilities in economic difficulties, elderly people in special families, elderly people over 60 years old living alone, elderly people diagnosed with diseases that put them at risk of getting lost in secondary and above hospitals, elderly people over 80 years old, and semi-disabled elderly people in economic difficulties

[0050] Establish service plans based on the service order management module, with functions for generating, allocating, executing and tracking service orders for the elderly;

[0051] The distribution of service orders for the elderly is divided by sites, and the sites are divided into regional services;

[0052] A system monitoring and alarm module is set in the smart elderly care information interaction device to monitor the mattress through physical signs, monitor the elderly's living conditions and vital signs in real time, and the system will issue an alarm when abnormalities are detected;

[0053] The data statistics and analysis module collects statistics on historical service volume and daily service volume, analyzes the data, and analyzes and evaluates the health status of the elderly;

[0054] Operation management module manages and supervises service personnel.

[0055] A system of intelligent elderly care service information interaction devices, the operation of the system monitoring and alarm modules, the establishment of internal security monitoring system, life assistance system and health care system, the use of image recognition algorithm, real-time monitoring of the activities of the elderly, the use of target algorithm to detect the position and movement of the elderly, the camera real-time acquisition of video data, and convert it into a digital image sequence, the acquisition of the image pre-processing operations such as filtering, denoising, brightness and contrast adjustment, in order to improve the accuracy and efficiency of subsequent processing,

[0056] Classify detected actions, including sitting, standing, walking, and falling, through a deep learning model;

[0057] When L <L MAX When R=L MAX ,but

[0058] When L ≥ L MAX hour, but

[0059]

[0060] For each pixel in the image, obtain its brightness value L, determine the situation according to the value of L, calculate the corresponding R, substitute the R value into S=T(R), calculate the balanced brightness value S, update the brightness values ​​of all pixels, and obtain the balanced image.

[0061] Through such processing, the brightness distribution of the image can be made more uniform and the contrast of the image can be enhanced, which will help to better monitor the activities of the elderly.

[0062] The target detection algorithm is applied to identify and locate the elderly and their behaviors in the image. For each independent frame, the algorithm outputs a series of prediction boxes about the location, category, and confidence of the detected target. The pre-trained model is used to classify the detected actions, where the action classification includes: sitting, standing, walking, and falling. This is achieved through a deep learning model. Based on the detection results, the system analyzes the behavior patterns and activity status of the elderly, and stores the analysis results for subsequent status evaluation and health monitoring. Histogram equalization is used to improve the visual effect of other images. The formula is:

[0063] S=T(P)=C d (255-P) α ;

[0064] Where S is the adjusted value, T is the transformation function, C d is always on, α is the index that controls the brightness;

[0065] Used to calculate the offset of the prediction box,

[0066] t w ,t h ,t x ,t y =β+c x *x+c y *y+c w *w+c h *h;

[0067] (x, y, w, h) are the bounding box coordinates and dimensions, (t w ,t h ,t x ,t y ) is the offset of the prediction box, β,c x ,c y ,cw ,c h are model parameters;

[0068] Life assistance system, the handrail usage counter records the frequency of use, and the count increases by 1 each time the handrail is used;

[0069] Bathing chairs and anti-slip mats are tested by pressure, and data is analyzed and judged. For the frequency of use of the armrests, the frequency of use of the armrests is set to F, and the normal frequency range is [Fmin, Fmax]. When F exceeds Fmax, it is judged that the elderly have difficulty standing or squatting.

[0070] Bath chairs and anti-slip mats monitor usage through pressure sensors, which detect changes in pressure and use the data to trigger actions or alarms;

[0071] In the life-assisting system, the pressure sensor of the bathing chair can record the number of times and strength of the elderly sitting down and standing up, and evaluate the independence and safety of the elderly bathing through the data. The formula is as follows:

[0072]

[0073] If the dependence is high, the bathing plan is adjusted; secondly, the risk factors are evaluated by counting the use of anti-collision strips, where the formula is: fall risk index = F (number of falls, environmental changes), where F is a comprehensive function;

[0074] In the health care system, the device collects blood pressure and weight, regularly measures the vital signs of the elderly, and tracks them over a long period of time, expressed as:

[0075]

[0076] Data integration: integrate data from different systems, establish a central database or data warehouse, store the integrated information so that each system can access and share it, and establish an information interaction mechanism to ensure that each system can send and receive information in a timely manner. Use message queues to achieve communication between systems, classify and mark the integrated information, and assign it to the corresponding system or module according to the type and source of the information. Establish a real-time monitoring system to monitor the information interaction process and detect abnormal situations in a timely manner;

[0077] Data from different systems are not effectively integrated, resulting in information islands, which affects service efficiency and quality. To solve this problem, a unified data integration platform is established to achieve real-time synchronization and sharing of data. First, determine the data source, list all systems and devices that need to be integrated, design a unified data model based on the data type, and use middleware to achieve data exchange between different systems;

[0078] For example, a set of vital signs data D of an elderly person, including blood pressure, heart rate and other indicators, uses a weighted average algorithm to combine these indicators:

[0079]

[0080] where w i is the weight of the ith indicator, x i is the value of the ith indicator.

[0081] Automatically trigger the early warning mechanism, send feedback information to relevant personnel, convert the handrail usage frequency data in the life assistance system into a unified format; merge the data in the health care system;

[0082] Due to the limitations of image preprocessing and target detection algorithms, it may not be possible to accurately identify the behavioral status of the elderly. Select a deep learning model for image classification and action recognition, collect and annotate sufficient training data, including the behavioral category labels of the elderly, use the training data set to train the deep learning model, evaluate the model performance on the validation set, adjust the hyperparameters until they meet the requirements, integrate the trained model into the system, and perform real-time monitoring and behavior analysis;

[0083] For example, to distinguish whether the elderly are in a falling state, use a logistic regression model to predict:

[0084]

[0085] Among them, x1, x2, ..., xn are eigenvalues, β0, β1, βn are model parameters, which are learned from the training data by maximum likelihood estimation.

[0086] It should be noted that, in this article, 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", "comprise" or any other variants 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.

[0087] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A smart elderly care service information interaction device, characterized in that: include: Intelligent equipment, aging-friendly equipment, and nursing service equipment; The intelligent equipment includes a camera for collecting images, a mattress for monitoring vital signs, a smoke alarm, a water alarm, a gas leak alarm, an emergency call, a door magnetic sensor and a gateway; Age-friendly equipment includes: bathing chairs, handrails, non-slip mats, and anti-collision corners; Nursing service equipment includes mobile water heaters, intelligent nursing beds, nursing robots, stair climbing machines, electric wheelchairs, transfer machines and portable physical examination machines; Create a user application and evaluation module in the smart elderly care information interaction device to establish the basic situation, health status and family situation of the elderly, establish a service plan based on the service order management module, and generate, allocate, execute and track the elderly service orders; A system monitoring and alarm module is set in the smart elderly care information interaction device to monitor the mattress through physical signs, monitor the elderly's living conditions and vital signs in real time, and the system will issue an alarm when abnormalities are detected; The data statistics and analysis module collects statistics on historical service volume and daily service volume, analyzes the data, and analyzes and evaluates the health status of the elderly; Operation management module manages and supervises service personnel.

2. The system of a smart elderly care service information interaction device according to claim 1 is characterized by: The system monitors the operation of the alarm module, and establishes internal safety monitoring system, life assistance system and health care system.

3. The system of a smart elderly care service information interaction device according to claim 2 is characterized by: Use image recognition algorithms to monitor the activities of the elderly in real time, adopt target algorithms to detect the position and movement of the elderly, the camera collects video data in real time and converts it into a digital image sequence, and performs preprocessing operations such as filtering, denoising, brightness and contrast adjustment on the collected images to improve the accuracy and efficiency of subsequent processing. Apply target detection algorithms to identify and locate the elderly and their behaviors in the image. For each independent frame, the algorithm outputs a series of prediction boxes about the position, category and confidence of the detected target, and uses a pre-trained model to classify the detected actions, including sitting, standing, walking, and falling. This is achieved through a deep learning model. According to the detection results, the system analyzes the behavior patterns and activity status of the elderly, and stores the analysis results for subsequent status evaluation and health monitoring.

4. The system of a smart elderly care service information interaction device according to claim 3 is characterized by: Use histogram equalization to improve the visual effect of other images. The formula is: S=T(P)=C d ·(255-P) α ; Where S is the adjusted value, T is the transformation function, C d is always on, α is the index that controls the brightness; Used to calculate the offset of the prediction box, t w ,t h ,t x ,t y =β+c x *x+c y *y+c w *w+c h *h; (x, y, w, h) are the bounding box coordinates and dimensions, (t w ,t h ,t x ,t y ) is the offset of the prediction box, β,c x ,c y ,c w ,c h are model parameters.

5. The system of a smart elderly care service information interaction device according to claim 2 is characterized by: Life assistance system, the handrail usage counter records the frequency of use, and the count increases by 1 each time the handrail is used; Bathing chairs and anti-slip mats are tested by pressure, and data is analyzed and judged. For the frequency of use of the armrests, the frequency of use of the armrests is set to F, and the normal frequency range is [Fmin, Fmax]. When F exceeds Fmax, it is judged that the elderly have difficulty standing or squatting. Bath chairs and anti-slip mats monitor usage through pressure sensors, which detect changes in pressure and use the data to trigger actions or alarms.

6. The system of a smart elderly care service information interaction device according to claim 2 is characterized by: In the life-assisting system, the pressure sensor of the bathing chair can record the number of times and strength of the elderly sitting down and standing up, and evaluate the independence and safety of the elderly bathing through the data. The formula is as follows: If the dependence is high, adjust the bathing plan; secondly, count the use of anti-collision strips, Assess risk factors, where the formula is: fall risk index = F (number of falls, environmental changes), Where F is the comprehensive function.

7. The system of a smart elderly care service information interaction device according to claim 2 is characterized by: In the health care system, the device collects blood pressure and weight, regularly measures the vital signs of the elderly, and tracks them over a long period of time, expressed as:

8. The system of a smart elderly care service information interaction device according to claim 2 is characterized by: Data integration: integrate data from different systems, establish a central database or data warehouse, store the integrated information so that each system can access and share it, and establish an information interaction mechanism to ensure that each system can send and receive information in a timely manner. Use message queues to achieve communication between systems, classify and mark the integrated information, and distribute it to the corresponding system or module according to the type and source of the information.

9. A system of a smart elderly care service information interaction device according to claim 8, characterized in that: Establish a real-time monitoring system to monitor the information interaction process, detect abnormal situations in a timely manner, automatically trigger the early warning mechanism, and send feedback information to relevant personnel.

10. A system of a smart elderly care service information interaction device according to claim 9, characterized in that: Data on frequency of handrail use in assisted living systems are converted to a unified format; data from health care systems are merged.

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