Intelligent old-age nursing service management platform based on artificial intelligence

Abstract

The invention discloses an intelligent old-age nursing service management platform based on artificial intelligence, which comprises a room part, an old-age nursing simulation part and a management part, and is characterized in that the room part comprises a layout acquisition unit and an environment acquisition unit, and the old-age nursing simulation part comprises a layout copying unit and an intelligent environment control unit; the layout acquisition unit comprises a function partition acquisition module and a spatial layout acquisition module, the layout copying unit comprises a function partition copying module and a spatial layout copying module, the environment acquisition unit comprises an environment monitoring module and an environment acquisition module, and the intelligent environment control unit comprises an environment control module and an environment regulation module. The intelligent old-age nursing service management platform based on artificial intelligence is provided with the layout copying unit and the intelligent environment control unit, so that the room of a nursing home can be designed into an environment similar to a home, and the real-time environment can be adjusted through environment control and adjustment; and the guarantee of the living environment of the old people in the nursing home is improved.

Description

Technical Field

[0001] The present invention relates to the field of elderly care services, and in particular to an intelligent elderly care service management platform based on artificial intelligence. Background Art

[0002] Elderly care is an important livelihood work. With the smaller family size, the importance of socialized elderly care has become increasingly prominent, and the demand for institutional elderly care has become more and more vigorous. At present, elderly care institutions in various places have developed rapidly and their number has increased rapidly, but there are also problems such as insufficient supply, low quality, and irregular management, which are not matched with people's elderly care needs. If we want to comprehensively improve the happiness of the elderly and improve their quality of life, we need to innovate the elderly care service mode. The service most needed by the elderly is elderly care. Therefore, it is of great significance to manage elderly care services.

[0003] Smart elderly care is a sensor network system and information platform for home-based elderly people, communities and elderly care institutions, and on this basis provides real-time, fast, efficient, low-cost, IoT-based, interconnected and intelligent elderly care services. Elderly care services are roughly divided into home-based elderly care and nursing home-based elderly care. Although home-based elderly care can live in a familiar environment, some emergencies cannot be discovered in time. Although nursing home-based elderly care can ensure that the elderly receive timely care, the environment of the nursing home is unfamiliar and not conducive to the physical and mental health of the elderly, which makes most elderly people unwilling to go there.

[0004] As family size decreases, the demand for socialized elderly care increases, but existing elderly care institutions have problems such as insufficient supply, low quality, and irregular management, which do not match the needs of the elderly. Although home-based elderly care is familiar, its emergency response capacity is poor. Although elderly care in nursing homes provides care, the environment is unfamiliar and is not conducive to the physical and mental health of the elderly. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent elderly care service management platform based on artificial intelligence, which is equipped with a layout replication unit and an intelligent environment control unit. Not only can the rooms in the nursing home be designed to be similar to a home environment, but the real-time environment can be adjusted through environmental control and regulation, thereby improving the living environment of the elderly living in the nursing home, solving the problem of the mismatch between the environment of existing nursing institutions and the needs of the elderly, and providing the elderly with a more comfortable, familiar and healthy living environment, which has important social significance and application value.

[0006] The present invention provides an artificial intelligence-based smart elderly care service management platform, comprising a room part and an elderly care simulation part. The room part comprises a layout acquisition unit and an environment acquisition unit. The elderly care simulation part comprises a layout replication unit and an intelligent environment control unit. The layout acquisition unit comprises a functional zoning acquisition module and a space layout acquisition module. The layout replication unit comprises a functional zoning replication module and a space layout replication module. The environment acquisition unit comprises an environment monitoring module and an environment acquisition module. The intelligent environment control unit comprises an environment control module and an environment adjustment module.

[0007] Preferably, the functional zoning acquisition module uses 3D scanning and manually labels the names of each functional zoning, and the functional zoning acquisition module stores the labeled 3D model data in a database.

[0008] Preferably, the space layout acquisition module records the layout of furniture and equipment, and the data measured by the rangefinder in the space layout acquisition module is stored in a database.

[0009] Preferably, the environment monitoring module monitors and regularly collects environment data through sensors, and the environment monitoring module stores the data monitored by the sensors in a database.

[0010] Preferably, the environment acquisition module includes data cleaning, data preprocessing and feature extraction; the environment acquisition module stores the data after data cleaning, data preprocessing and feature extraction in a database. The functional partition replication module obtains the data collected by the functional partition acquisition module through the database, and the functional partition replication module creates corresponding functional partitions using the same layout and size based on the data collected by the functional area acquisition module.

[0011] Preferably, the space layout replication module obtains the data of the space layout acquisition module collected by the space layout acquisition module according to the database, and the space layout replication module creates the same furniture and equipment models and places them in corresponding positions.

[0012] Preferably, the environment control module obtains the data of the environment monitoring module according to the database, and the environment control module is installed with the same sensor as that of the environment monitoring module.

[0013] Preferably, the environment adjustment module performs data processing, analysis and intelligent decision-making based on the sensor data collected by the environment acquisition module and the data collected by the environment control module. The environment adjustment module automatically adjusts the operation of the equipment to achieve the set temperature, humidity, light intensity and air quality, as shown in the following formula: ; in, It is Environmental parameter vector at time; It is The reference value vector at the time instant; is the weight matrix of the state error; It is The control input vector at time t; is the weight matrix controlling the input; is the length of the prediction horizon; To minimize the cost function.

[0014] Therefore, the present invention adopts the above-mentioned artificial intelligence-based smart elderly care service management platform, which is equipped with a layout replication unit and an intelligent environment control unit. It can not only design the rooms in the nursing home into a home-like environment, but also adjust the real-time environment through environmental control and regulation, thereby improving the living environment of the elderly living in the nursing home, solving the problem of mismatch between the environment of existing nursing institutions and the needs of the elderly, and providing the elderly with a more comfortable, familiar and healthy living environment, which has important social significance and application value.

[0015] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a schematic diagram of the overall structure of an artificial intelligence-based smart elderly care service management platform of the present invention. DETAILED DESCRIPTION

[0017] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0018] Unless otherwise defined, technical or scientific terms used in the present invention shall have the common meanings understood by one having ordinary skills in the field to which the present invention belongs.

[0019] The words "first", "second" and similar terms used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Words such as "include" or "comprises" and similar terms mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "connected" and similar terms are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0020] Embodiment 1 like Figure 1As shown, the present invention is an artificial intelligence-based smart elderly care service management platform, including a room part and an elderly care simulation part. The room part includes a layout acquisition unit and an environment acquisition unit. The elderly care simulation part includes a layout replication unit and an intelligent environment control unit. The layout acquisition unit includes a functional partition acquisition module and a space layout acquisition module. The layout replication unit includes a functional partition replication module and a space layout replication module. The environment acquisition unit includes an environment monitoring module and an environment acquisition module. The intelligent environment control unit includes an environment control module and an environment adjustment module.

[0021] The functional zoning acquisition module uses 3D scanning technology to conduct a comprehensive scan of the elderly's room and generate a detailed 3D model; manually mark the names of each functional partition on the 3D model to ensure that the boundaries of each area are clear and definite; the functional zoning acquisition module stores the marked 3D model data in the database. The functional zoning acquisition module uses 3D scanning technology to conduct a comprehensive scan of the elderly's room and manually mark the names of each functional partition on the generated 3D model, and then stores the marked 3D model data in the database. This process plays many important roles, which are described in detail below: Ensure layout consistency: The detailed 3D model generated by 3D scanning can accurately record the size, shape, location and boundaries of each functional area of ​​the room. When duplicating the room layout in the elderly care simulation part, based on these precise data, ensure that the copied room layout is completely consistent with the original living environment of the elderly in terms of the location, size and shape of the functional partitions, so that the elderly can feel the familiar living space in the nursing home and reduce the strangeness and discomfort caused by environmental changes. Convenient for personalized adjustment: The stored 3D model data can be easily viewed and modified. If the room layout needs to be fine-tuned according to the special needs or preferences of the elderly, such as changing the size or position of a functional area, it can be operated directly on the basis of the 3D model data in the database, and then the layout can be copied according to the adjusted data to achieve personalized room layout design. Accurate positioning of sensors and actuators: When installing sensors of environmental monitoring modules and actuators of environmental control modules (such as smart air conditioners, humidifiers, curtain motors, light controllers, etc.), the 3D model provides detailed spatial information of the room. According to the specific location and boundaries of the functional partitions, the installation locations of sensors and actuators can be reasonably determined to ensure that the areas that need to be monitored and controlled can be fully covered, thereby improving the accuracy and effectiveness of environmental monitoring and regulation. For example, installing temperature sensors in appropriate locations in major functional areas such as living rooms and bedrooms can more accurately monitor temperature changes in these areas and provide reliable data support for environmental regulation. Improve environmental regulation efficiency: When the environmental regulation module adjusts environmental parameters based on the collected data, accurate functional zoning information helps to more accurately control environmental conditions in different areas. For example, in the restaurant area, the appropriate temperature and light intensity can be adjusted in advance according to the actual dining time, and in the bedroom area, the environmental parameters suitable for sleep can be adjusted according to the work and rest time of the elderly, thereby improving the efficiency and comfort of the entire room environment regulation and better meeting the environmental needs of the elderly in different functional areas.

[0022] Centralized storage and management: The marked 3D model data is stored in the database, realizing the centralized storage and unified management of room layout and functional partition information. Compared with traditional paper drawings or simple text descriptions, the database storage method is more efficient, convenient, and easy to query, update and maintain. Staff can access the database through the network anytime and anywhere to quickly obtain the required room layout data, which improves work efficiency. Long-term tracing and analysis: Over time, the living needs or room facilities of the elderly may change. The 3D model data stored in the database can be preserved as a historical record for a long time, which is convenient for tracing and analyzing changes in room layout and functional partitions. For example, when the room needs to be redecorated or the layout needs to be adjusted, the previous 3D model data can be viewed to understand the original design intent and functional partition arrangement, provide a reference for the new layout design, and ensure that the adjusted room still meets the needs and living habits of the elderly.

[0023] 3D scanning technology can record every corner and feature of the elderly's room in detail, and the generated 3D model provides complete visual information of the room. Through 3D scanning, the dimensions of the room and the layout of each functional area can be accurately measured, including the position and size of walls, doors, windows, furniture, etc. The annotated 3D model data is stored in the database to facilitate long-term storage, management and retrieval of the data. This provides basic data for subsequent room layout replication and environmental adjustment. The stored 3D model data can be used to simulate and plan the room layout of the elderly care simulation part to ensure the consistency of the simulated environment with the original living environment of the elderly.

[0024] The space layout acquisition module records the layout of furniture and equipment, and uses a rangefinder to measure the position, size and orientation of furniture and equipment; the data measured by the rangefinder in the space layout acquisition module is stored in a database.

[0025] By accurately measuring the position, size and orientation of furniture and equipment, we ensure that the same spatial layout as the elderly's original living environment is replicated in the elderly care simulation. The measured data is stored in the database for long-term preservation and ready access, providing basic data for the replication and adjustment of room layouts. Accurate layout information helps the intelligent environmental control system better understand the structure of the room, so as to more effectively adjust environmental parameters such as temperature, humidity and light. According to the personal preferences and needs of the elderly, the layout data can be used to adjust the furniture placement in the room to provide a personalized living environment.

[0026] The environmental monitoring module monitors and collects environmental data regularly through sensors, and installs temperature sensors, humidity sensors, light sensors, air quality sensors, etc. in the elderly's room. Ensure that the installation position of the sensor is reasonable and can fully cover the area that needs to be monitored. The environmental monitoring module stores the data planned to be monitored by the sensor in the database. Real-time environmental perception: By installing temperature sensors, humidity sensors, light sensors, air quality sensors, etc. in the elderly's room, various environmental parameters in the room can be perceived in real time. These sensors are like the "sensory organs" of the platform, allowing the system to understand the actual situation of the elderly's environment in a timely manner, providing a basis for subsequent environmental adjustment and decision-making. Comprehensive data coverage: Reasonably arrange the position of the sensor to ensure that the area that needs to be monitored can be fully covered to avoid monitoring blind spots. In this way, environmental data at different locations in the room can be accurately obtained, whether it is the living room, bedroom, bathroom or kitchen, etc., accurate environmental information can be obtained, thereby providing all-round environmental protection for the elderly. Data storage and traceability: The data monitored by the sensor is stored in the database, forming a historical record library of environmental data. These data can not only be used for real-time environmental adjustment, but also for long-term data analysis and traceability. For example, by analyzing the temperature change trend over a period of time, you can find out whether there is a problem with the room's insulation performance; or by checking the historical air quality data, you can understand the changing patterns of the room's air quality and take timely measures to improve the environment.

[0027] The environment acquisition module includes data cleaning, data preprocessing and feature extraction; the environment acquisition module stores the data after data cleaning, data preprocessing and feature extraction into the database.

[0028] Data cleaning: The raw data collected from the sensor may contain quality issues such as noise, outliers, or missing values. The data cleaning process can remove these invalid or erroneous data to ensure the accuracy and consistency of the data. For example, if a temperature sensor occasionally fails, causing the collected temperature data to be abnormally high or low, the data cleaning process can identify and remove these abnormal data to avoid misleading subsequent analysis and decision-making.

[0029] Data preprocessing: Further processing of the cleaned data, such as normalization and standardization. These processes can unify the format and dimension of the data, adapt to the input requirements of the subsequent data processing model, and improve the performance and stability of the model. For example, normalizing data of different dimensions such as temperature, humidity, and light intensity so that they are all between 0 and 1 is convenient for subsequent feature extraction and analysis.

[0030] Feature extraction: Extract key features from preprocessed data. These features can more effectively reflect the essential information of the environment and reduce the dimension and complexity of the data. For example, extract features such as daily average temperature, daily maximum temperature, and daily minimum temperature from temperature data; extract concentration features of key pollutants such as PM2.5, PM10, and formaldehyde from air quality data. Through feature extraction, important information in the data is highlighted, providing more concise and valuable input for the intelligent decision-making of artificial intelligence algorithms, improving the accuracy and efficiency of decision-making.

[0031] Data storage and analysis: After data cleaning, preprocessing and feature extraction, the data is stored in the database, providing a high-quality data foundation for subsequent environmental analysis and intelligent decision-making. These data can be used to train artificial intelligence models, allowing the models to learn the relationship and change rules between environmental parameters, thereby realizing intelligent adjustment and optimization of the environment. For example, by analyzing the correlation characteristics between temperature, humidity and light intensity, the model can predict how to adjust these parameters to achieve the best comfort effect under different environmental conditions.

[0032] The monitored environmental data is stored in the database for long-term preservation, providing basic data for subsequent analysis and research. By analyzing the stored data, the environment of the elderly care simulation part can be optimized to improve the living comfort of the elderly. Data cleaning: remove noise and outliers in the data to ensure the accuracy and consistency of the data and provide high-quality data for subsequent analysis. Data preprocessing: including normalization, standardization and other operations to adapt the data to the input requirements of the model and improve model performance. Feature extraction: extract key features from the original data, reduce data dimensions, and improve the generalization ability and operating efficiency of the model. Data cleaning, data preprocessing and feature extraction here are existing technologies.

[0033] The functional partition replication module obtains the data collected by the functional partition acquisition module from the database. The functional partition replication module creates corresponding functional partitions using the same layout and size based on the data collected by the functional area acquisition module. Ensure that the location and boundaries of each area are consistent with the original living environment. Provide a familiar environment for the elderly, reduce the discomfort and anxiety caused by environmental changes, and help them better adapt to the new environment.

[0034] The space layout replication module obtains the data collected by the space layout acquisition module according to the database, and the space layout replication module creates the same furniture and equipment models and places them in corresponding positions to ensure that the layout is consistent with the original living environment.

[0035] The environmental control module obtains the data of the environmental monitoring module according to the database. The environmental control module is installed with the same sensors and actuators as the environmental monitoring module (such as smart air conditioners, humidifiers, curtain motors, light controllers, etc.), and automatically adjusts the environmental parameters according to the collected environmental data to ensure that it is similar to the original living environment.

[0036] By installing the same sensors as the environmental monitoring module, data such as temperature, humidity, light and air quality in the room are collected in real time. The data collected by the environmental monitoring module is obtained from the database to provide real-time information for environmental control. According to the collected environmental data, actuators such as smart air conditioners, humidifiers, curtain motors and light controllers are automatically adjusted to maintain suitable environmental conditions. By automatically adjusting environmental parameters, the living comfort of the elderly can be improved and physical discomfort caused by environmental discomfort can be reduced. By controlling the indoor environment, such as maintaining appropriate temperature and humidity, the health of the elderly, especially those who are sensitive to environmental changes, is protected.

[0037] The environmental adjustment module performs data processing, analysis and intelligent decision-making based on the sensor data collected by the environmental acquisition module and the data collected by the environmental control module. The environmental adjustment module automatically adjusts the operation of the equipment to achieve the set temperature, humidity, light intensity and air quality.

[0038] Integrate the sensor data collected by the environment acquisition module and the data of the environment control module to provide a comprehensive information basis for environmental adjustment. Based on the collected data, use artificial intelligence algorithms to make intelligent decisions and determine how to adjust the environment to achieve optimal comfort. According to the results of intelligent decisions, automatically adjust the operation of actuators (such as smart air conditioners, humidifiers, curtain motors, lighting controllers, etc.) to achieve the set environmental parameters.

[0039] The environmental conditioning system needs to control temperature, humidity and light intensity. The specific steps are as follows: Define reference values: target temperature: 22°C, target humidity: 50%, target light intensity: 500lux; Define the weight matrix: ; Calculate the cost function: ; in, It is Environmental parameter vector at time; It is The reference value vector at the time instant; is the weight matrix of the state error; It is The control input vector at time t; is the weight matrix controlling the input; is the length of the prediction horizon; To minimize the cost function.

[0040] Optimize control input: Use numerical optimization algorithms (such as gradient descent, quadratic programming, etc.) to minimize , find the optimal control input sequence .

[0041] Provided is an intelligent elderly care service management platform based on artificial intelligence. Through the layout replication unit and the intelligent environment control unit, the nursing home room can be made similar to the home environment, and the environment can be adjusted in real time to ensure the living environment of the elderly. The platform includes a room part and an elderly care simulation part. The room part contains a layout acquisition unit and an environment acquisition unit; the elderly care simulation part contains a layout replication unit and an intelligent environment control unit. The layout acquisition unit is divided into a functional zoning acquisition module and a space layout acquisition module; the layout replication unit is divided into a functional zoning replication module and a space layout replication module; the environment acquisition unit is divided into an environment monitoring module and an environment acquisition module; the intelligent environment control unit is divided into an environment control module and an environment adjustment module.

[0042] Therefore, the present invention adopts the above-mentioned artificial intelligence-based smart elderly care service management platform, which is equipped with a layout replication unit and an intelligent environment control unit. It can not only design the rooms in the nursing home into a home-like environment, but also adjust the real-time environment through environmental control and regulation, thereby improving the living environment of the elderly living in the nursing home, solving the problem of mismatch between the environment of existing nursing institutions and the needs of the elderly, and providing the elderly with a more comfortable, familiar and healthy living environment, which has important social significance and application value.

[0043] The above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. An artificial intelligence-based smart elderly care service management platform, characterized in that: It includes a room part and an elderly care simulation part. The room part includes a layout acquisition unit and an environment acquisition unit. The elderly care simulation part includes a layout replication unit and an intelligent environment control unit. The layout acquisition unit includes a functional partition acquisition module and a space layout acquisition module. The layout replication unit includes a functional partition replication module and a space layout replication module. The environment acquisition unit includes an environment monitoring module and an environment acquisition module. The intelligent environment control unit includes an environment control module and an environment adjustment module.

2. According to claim 1, a smart elderly care service management platform based on artificial intelligence is characterized in that: The functional zoning acquisition module uses 3D scanning and manually labels the names of various functional zones, and the functional zoning acquisition module stores the labeled 3D model data in a database.

3. The intelligent elderly care service management platform based on artificial intelligence according to claim 1 is characterized in that: The space layout acquisition module records the layout of furniture and equipment, and the data measured by the rangefinder in the space layout acquisition module is stored in the database.

4. The intelligent elderly care service management platform based on artificial intelligence according to claim 1 is characterized in that: The environment monitoring module monitors and regularly collects environmental data through sensors, and stores the data monitored by the sensors in a database.

5. The intelligent elderly care service management platform based on artificial intelligence according to claim 1 is characterized in that: The environment acquisition module includes data cleaning, data preprocessing and feature extraction; the environment acquisition module stores the data after data cleaning, data preprocessing and feature extraction into the database.

6. The artificial intelligence-based smart elderly care service management platform according to claim 1 is characterized in that: The functional partition replication module obtains the data collected by the functional partition acquisition module through the database. The functional partition replication module creates corresponding functional partitions using the same layout and size based on the data collected by the functional area acquisition module.

7. The artificial intelligence-based smart elderly care service management platform according to claim 1 is characterized in that: The space layout replication module obtains the data of the space layout acquisition module collected by the space layout acquisition module according to the database, and the space layout replication module creates the same furniture and equipment models and places them in corresponding positions.

8. The artificial intelligence-based smart elderly care service management platform according to claim 1 is characterized in that: The environment control module obtains the data of the environment monitoring module according to the database, and the environment control module is installed with the same sensor as the environment monitoring module.

9. The artificial intelligence-based smart elderly care service management platform according to claim 1 is characterized in that: The environment adjustment module processes, analyzes and makes intelligent decisions based on the sensor data collected by the environment acquisition module and the data collected by the environment control module. The environment adjustment module automatically adjusts the operation of the equipment to achieve the set temperature, humidity, light intensity and air quality, as shown in the following formula: ； in, It is Environmental parameter vector at time; It is The reference value vector at the time instant; is the weight matrix of the state error; It is The control input vector at time t; is the weight matrix controlling the input; is the length of the prediction horizon; To minimize the cost function.

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