Intelligent old-age care service management system and method based on Internet of Things

Abstract

The invention provides an intelligent old-age care service management system and method based on the Internet of Things, the system comprises a plurality of nursing units and a server, each nursing unit is provided with a human body sign sensing module and a service terminal, the service terminal integrates a body temperature acquisition module, a temperature and humidity acquisition control module, a voice module and a GPRS module, a program is executed through a processor, and the service terminal is connected with the server. The functions of body temperature and temperature and humidity data monitoring, automatic temperature and humidity adjustment, voice interaction and data remote transmission are achieved. The living comfort and the health monitoring level of the old people can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent elderly care services, and more specifically, to a smart elderly care service management system and method based on the Internet of Things. Background Art

[0002] With the aging of the population, the traditional elderly care service model has been unable to meet the growing demand for elderly care, especially in terms of health monitoring and daily life care. The existing elderly care service system often relies on manual monitoring and intervention, which is not only inefficient, but also difficult to achieve 24-hour uninterrupted monitoring. In addition, the adjustment of environmental comfort also mostly relies on manual operation, lacking intelligent and personalized adjustment mechanisms. In terms of technical principles, many systems have not yet fully utilized the Internet of Things technology, unable to achieve interconnection between devices and real-time sharing of data, resulting in slow service response and inability to adjust service strategies in time according to the physiological and psychological needs of the elderly.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the existing elderly care service management system lacks intelligent vital sign monitoring and environmental adjustment functions, and is unable to achieve real-time monitoring of the health status of the elderly and automatic optimization of the living environment, which limits the quality and efficiency of elderly care services. Summary of the invention

[0004] The present invention provides a smart elderly care service management system and method based on the Internet of Things.

[0005] In a first aspect of the present invention, a smart elderly care service management system based on the Internet of Things is provided, comprising:

[0006] A plurality of nursing units and servers, each of the nursing units is provided with a human body sign sensing module and a service terminal, and the server is communicatively connected with the service terminal in each of the nursing units;

[0007] The service terminal includes a body temperature collection system, a processor, a database, a temperature and humidity collection module, a temperature and humidity control module, a voice module and a GPRS remote communication module. The processor is used to execute a computer program to achieve the following functions: receiving body temperature data monitored by the human body sign sensing module, the human body sign sensing module is an infrared sensing device, and is connected to the body temperature collection system;

[0008] Receive the temperature and humidity data collected by the temperature and humidity acquisition module; combine the temperature and humidity data, body temperature data and the temperature and humidity-body temperature correspondence table pre-stored in the database to determine whether the temperature and humidity of the nursing unit are within an appropriate range;

[0009] If the temperature and humidity are not within the appropriate range, the temperature and humidity are automatically regulated by the temperature and humidity control module;

[0010] If the temperature and humidity are within a suitable range, and the human body sign sensing module does not detect body temperature data within a preset time period, then send voice data to control the voice module to play a voice to ask the elderly;

[0011] The GPRS remote communication module is used to transmit the collected body temperature data to the server.

[0012] Furthermore, the voice module includes:

[0013] A voice library for storing recordings of different voice contents as data voice units;

[0014] and a speech synthesizer for generating speech units through text analysis based on the text information;

[0015] The voice library and the voice synthesizer together constitute a dynamic voice library, which is used to support the function of the voice module to play voice data.

[0016] Furthermore, the voice module plays the voice data of the voice inquiry for the elderly, including the following steps:

[0017] Using the speech unit in the speech library or the speech unit synthesized by the speech synthesizer as the speech unit of the data to be played;

[0018] Extracting speech elements from the dynamic speech database, and comparing the speech units of the data to be played with the speech elements to obtain the sound unit with the highest similarity;

[0019] Play the compared sound units.

[0020] Furthermore, when the voice module plays the voice data of the voice inquiry for the elderly, the following steps are also included:

[0021] The end of playing the data sound unit to be played is the first calibration point. If the human body sign sensing module detects body temperature data, the new temperature value adjusted by the temperature and humidity control module is set as the second calibration point. If the first calibration point is the start time T 1 , if the body temperature acquisition system is [0.1T after the first calibration point 1 ,T 1 ] If no new temperature value is obtained within the time period, the playing of the voice unit of the data to be played is terminated.

[0022] Furthermore, the server pre-stores a table corresponding to temperature information and emotions, each of the nursing units is provided with a playback terminal for playing multimedia content, the playback terminal is arranged at a central position of the nursing unit, each service terminal of the nursing unit is communicatively connected with the playback terminal, the communication module of the playback terminal is connected to a processor of the server, and the playback terminal is used to send the played multimedia content and corresponding temperature information to the server; the processor of the service terminal determines the temperature comfort type of the played multimedia content through the pre-stored table corresponding to temperature information and emotions, and compares it with the real-time temperature stored in the database to determine whether the temperature comfort type of the played multimedia content is met;

[0023] The playback terminal performs video communication with the server.

[0024] In a second aspect of the present invention, a smart elderly care service management method based on the Internet of Things is provided, comprising:

[0025] The server also stores a temperature and humidity-emotion-health matching relationship table;

[0026] The server also receives body temperature data and temperature and humidity data monitored by the human body sign sensing module sent by the service terminal;

[0027] The method comprises the following steps:

[0028] Step S110: Acquire the ambient temperature and humidity, and obtain the elderly's emotions according to the pre-built temperature and humidity-emotion-health matching relationship table;

[0029] Step S120: receiving the body temperature data sent by the service terminal, and updating the physical health of the elderly according to the body temperature data;

[0030] Step S130: Automatically obtain the type of multimedia content to be played based on the physical signs, emotions and physical health of the elderly, and transmit it to the playback terminal.

[0031] Furthermore, the step of updating the physical health of the elderly includes the following steps:

[0032] In the initial state, the physical health of the old man is x 1 , the elderly person is prone to colds. If the elderly person's body temperature is greater than 36.5℃, the physical health level will remain at x 1 ;

[0033] If the body temperature of the elderly person is not greater than 36.5°C, then the physical health is y, and the physical health is x. 1 There is a relationship between physical health y and physical health y. The value of physical health y is less than that of physical health x. 1 The value of

[0034] After temperature and humidity adjustment, the physical health of the elderly remains x 1 .

[0035] Furthermore, the server stores a temperature and humidity-emotion-health matching relationship table, and the service terminal is also provided with a human body sign sensing module, a temperature and humidity acquisition module, a temperature and humidity control module and a voice module;

[0036] The method comprises the following steps:

[0037] Step S210: receiving the body temperature data of the elderly collected by the human body sign collection module monitored by the human body sign sensing module;

[0038] Step S220: determine whether the physical sign data collected by the human physical sign collection module is abnormal. If the temperature is abnormal, obtain the temperature and humidity data collected by the temperature and humidity collection module, and calculate the physical sign abnormality value D in combination with the temperature and humidity-emotion-health matching relationship table;

[0039] Step S230: In combination with the abnormal temperature and humidity value D, the temperature and humidity control module adjusts the temperature and humidity in the nursing unit so that the abnormal temperature and humidity value D gradually decreases to 0.

[0040] Furthermore, when the temperature is abnormal, the temperature change rate is calculated by combining the temperature and humidity-body temperature correspondence table.

[0041]

[0042] Among them, V i1 is the temperature value at the next moment, V is the normal temperature value, T 1 Time for the next moment;

[0043] In step S230, the control module controls the temperature and humidity adjustment speed in the nursing unit according to the following formula:

[0044]

[0045] Where u is the abnormal value of temperature and humidity D, t 1 is the first preset time, t 2 is greater than t 1 The second preset time, t 3 is the third preset time, e is the body temperature change rate, e + It is the opposite of the body temperature change rate e;

[0046] ΔT is the preset temperature comfort change rate, t 2 It is the average value of the preset temperature comfort change time;

[0047] The temperature of the nursing unit is T4 , the humidity of the nursing unit is u 4 The temperature change rate of the adjustment is f℃ / min, and the humidity change rate of the adjustment is e 4 % / min, calculate the temperature change rate f℃ / min and humidity change rate e according to the following formula 4 % / min:

[0048]

[0049] Wherein, the body temperature data is V 3 , T is the preset time, T 0 is the initial time, It is the average value of the preset time period.

[0050] Furthermore, in step S220, the temperature and humidity acquisition module acquires temperature data and calculates the temperature and humidity difference f 1 The difference between the temperature and humidity and the preset value f;

[0051] If the temperature and humidity difference f 1 If the temperature and humidity difference is greater than the preset value f, the temperature and humidity are automatically regulated by the temperature and humidity control module;

[0052] If the temperature and humidity difference f 1 If the temperature and humidity difference is not greater than the preset temperature and humidity difference f, steps S210 to S230 are repeated.

[0053] According to the above-mentioned embodiments of the present invention, at least the following beneficial effects are achieved: the smart elderly care service management system based on the Internet of Things can provide real-time human vital signs monitoring and environmental temperature and humidity adjustment, collect the body temperature data of the elderly in real time through infrared sensing equipment, and combine the temperature and humidity data with the pre-stored correspondence table to intelligently judge and adjust the temperature and humidity of the nursing unit to maintain a suitable living environment. In addition, the system interacts with the elderly through a voice module to improve the quality of life and safety of the elderly. In terms of temperature and humidity adjustment, the system can automatically adjust according to real-time monitoring data, reduce manual intervention, and improve the accuracy and efficiency of adjustment.

[0054] Through the integrated GPRS remote communication module, the system can transmit the collected body temperature data to the server in a timely manner, which is convenient for remote monitoring and management. At the same time, the system also has the function of multimedia content playback, which can automatically select appropriate multimedia content for playback according to the mood and health status of the elderly, further enriching the spiritual life of the elderly. This intelligent elderly care service management system can not only improve the quality and efficiency of elderly care services, but also provide a more comfortable and safe living environment for the elderly. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0056] Figure 1 A schematic diagram of the structure of a smart elderly care service management system based on the Internet of Things provided by one embodiment of the present invention;

[0057] Figure 2 A flowchart of a smart elderly care service management method based on the Internet of Things provided by one embodiment of the present invention;

[0058] Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0060] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0061] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0062] Reference below Figure 1 , Figure 1 This is a schematic diagram of the structure of a smart elderly care service management system based on the Internet of Things provided by one embodiment of the present invention. Figure 1 As shown, a smart elderly care service management system based on the Internet of Things includes:

[0063] A plurality of nursing units and servers, each of the nursing units is provided with a human body sign sensing module and a service terminal, and the server is communicatively connected with the service terminal in each of the nursing units;

[0064] The service terminal includes a body temperature collection system, a processor, a database, a temperature and humidity collection module, a temperature and humidity control module, a voice module and a GPRS remote communication module. The processor is used to execute a computer program to achieve the following functions: receiving body temperature data monitored by the human body sign sensing module, the human body sign sensing module is an infrared sensing device, and is connected to the body temperature collection system;

[0065] Receive the temperature and humidity data collected by the temperature and humidity acquisition module; combine the temperature and humidity data, body temperature data and the temperature and humidity-body temperature correspondence table pre-stored in the database to determine whether the temperature and humidity of the nursing unit are within an appropriate range;

[0066] If the temperature and humidity are not within the appropriate range, the temperature and humidity are automatically regulated by the temperature and humidity control module;

[0067] If the temperature and humidity are within a suitable range, and the human body sign sensing module does not detect body temperature data within a preset time period, then send voice data to control the voice module to play a voice to ask the elderly;

[0068] The GPRS remote communication module is used to transmit the collected body temperature data to the server.

[0069] It should be noted that in the smart elderly care service management system, each nursing unit is equipped with a human body sign sensing module and a service terminal, which are the basic components of the system. The human body sign sensing module, such as an infrared sensing device, is used to monitor the body temperature data of the elderly, while the service terminal includes a body temperature collection system, a processor, a database, etc., which are used to receive and process this data. The server communicates with the service terminal in each nursing unit to realize remote transmission and processing of data.

[0070] Specifically, the human body sign sensing module can be an infrared sensing device, which measures the body temperature of the elderly through infrared rays. This device usually has the characteristics of non-contact and rapid measurement. The body temperature acquisition system in the service terminal can be a circuit board with an integrated temperature sensor, which converts the sensed body temperature data into a digital signal and then processes it through a processor. The temperature and humidity-body temperature correspondence table pre-stored in the database is a data table that defines the judgment criteria for whether the temperature and humidity of the nursing unit are within the appropriate range based on different temperature and humidity conditions and body temperature data.

[0071] More specifically, when the human body sign sensing module does not monitor the body temperature data within the preset time period, the processor of the service terminal will send a control signal to the voice module to play the voice data of the voice inquiry of the elderly. This preset time period can be set according to the actual situation, for example, it can be set to 10 minutes. The voice module includes a voice library and a voice synthesizer. The voice library stores recordings of different voice contents, and the voice synthesizer can generate voice units based on text information. When it is necessary to play the voice data of the voice inquiry of the elderly, the system will extract the voice elements from the dynamic voice library, and compare the voice units of the data to be played with the voice elements, and obtain the sound unit with the highest similarity for playback. Such a design can make the voice playback more natural and personalized.

[0072] In some embodiments, the voice module includes:

[0073] A voice library for storing recordings of different voice contents as data voice units;

[0074] and a speech synthesizer for generating speech units through text analysis based on the text information;

[0075] The voice library and the voice synthesizer together constitute a dynamic voice library, which is used to support the function of the voice module to play voice data.

[0076] It should be noted that the system provides interactive functions with the elderly through the voice module, which includes a voice library and a voice synthesizer. The voice library is used to store recordings of different voice contents as data voice units, while the voice synthesizer generates voice units based on text information through text analysis. These two components together constitute a dynamic voice library, which is used to support the voice module's function of playing voice data.

[0077] Specifically, a voice library can be a storage device that contains various pre-recorded voice messages, such as greetings, reminders, etc. These voice messages can be customized according to the personal preferences and needs of the elderly. A speech synthesizer is a software or hardware that can convert text into speech output, which usually involves natural language processing and speech synthesis technology. A dynamic voice library is a real-time updated database that can dynamically generate or select the most appropriate voice unit for playback based on the current text information and pre-stored voice content.

[0078] Preferably, the system can further refine the functions of the speech module. For example, the speech synthesizer can adopt advanced text-to-speech (TTS) technology to ensure that the generated speech is natural and easy to understand.

[0079] Furthermore, the system can set up an algorithm to automatically adjust the content in the voice library based on the elderly's feedback and interaction history to improve the personalization and relevance of voice interaction. As an alternative, the system can also integrate machine learning technology to enable the speech synthesizer to self-optimize according to the elderly's language habits and preferences, thereby providing a more natural and friendly voice interaction experience.

[0080] In some embodiments, the voice module plays voice data of voice inquiry for the elderly, including the following steps:

[0081] Using the speech unit in the speech library or the speech unit synthesized by the speech synthesizer as the speech unit of the data to be played;

[0082] Extracting speech elements from the dynamic speech database, and comparing the speech units of the data to be played with the speech elements to obtain the sound unit with the highest similarity;

[0083] Play the compared sound units.

[0084] It should be noted that the system uses a series of steps to ensure the accuracy and relevance of the voice when playing the voice data of the voice inquiry. The voice data here refers to the voice information that the system will play to the elderly, and the dynamic voice library is a database that stores and generates these voice information. The system compares and selects the sound units with the highest similarity to play in order to improve the effect of voice communication.

[0085] Specifically, the system first uses the speech units in the speech library or the speech units synthesized by the speech synthesizer as the speech units of the data to be played. Then, the system extracts the voice elements from the dynamic speech library and compares them with the speech units of the data to be played to find the sound units with the highest similarity. This process involves speech recognition and matching technology, which can be achieved through algorithms, such as using machine learning algorithms to improve the accuracy of matching. The calculation of similarity can be based on multiple parameters such as the waveform, frequency, and rhythm of the speech.

[0086] Preferably, the system can further refine the steps of playing the voice data of the voice inquiry of the elderly. For example, the system can set a threshold to determine whether the similarity is high enough, and only when the similarity exceeds the threshold, the sound unit will be selected for playing.

[0087] Furthermore, the system can also automatically adjust the content in the voice library based on the elderly's feedback and interaction history to improve the personalization and relevance of voice interaction. As an alternative, the system can also integrate sentiment analysis technology to enable the voice module to select the most appropriate voice content for playback based on the emotional state of the elderly, thereby providing a more humane service.

[0088] In some embodiments, when the voice module plays the voice data of the voice inquiry for the elderly, it also includes the following steps:

[0089] The end of playing the data sound unit to be played is the first calibration point. If the human body sign sensing module detects body temperature data, the new temperature value adjusted by the temperature and humidity control module is set as the second calibration point. If the first calibration point is the start time T 1 , if the body temperature acquisition system is [0.1T after the first calibration point 1 ,T 1 ] If no new temperature value is obtained within the time period, the playing of the voice unit of the data to be played is terminated.

[0090] It should be noted that when the system plays the voice data of the voice inquiry of the elderly, it will set a specific time point to monitor the body temperature data. The first calibration point here refers to the time point when the voice playback ends, and the second calibration point refers to the time point corresponding to the new temperature value adjusted by the temperature and humidity control module. The system will monitor the body temperature data between these two time points to decide whether to end the voice playback.

[0091] Specifically, the system will set the first calibration point, that is, the end time of voice playback, at the end of playing the data audio unit to be played. If the human body sign sensing module does not detect new body temperature data in the [0.1,1] time period after the first calibration point, the system will end the voice playback. The time period [0.1,1] here is an adjustable parameter that can be set according to the actual situation and the physiological characteristics of the elderly. For example, if the body temperature of the elderly usually changes slowly, this time period can be set longer.

[0092] Preferably, the system can further refine the step of playing the voice data of the voice inquiry of the elderly. For example, the system can set a threshold value of temperature change, and only when the monitored temperature change exceeds this threshold value, the new temperature value will be used as the second calibration point.

[0093] Furthermore, the system can also automatically adjust the voice playback strategy according to the trend of the elderly's body temperature changes, such as increasing the frequency of inquiries when the body temperature continues to drop, or reducing interruptions when the body temperature is stable. As an alternative, the system can also integrate a prediction model to predict the elderly's body temperature changes based on historical data and adjust the timing and content of voice playback accordingly.

[0094] In some embodiments, the server pre-stores a table corresponding to temperature information and emotions, each of the nursing units is provided with a playback terminal for playing multimedia content, the playback terminal is arranged at a central position of the nursing unit, each service terminal of the nursing unit is communicatively connected with the playback terminal, the communication module of the playback terminal is connected to a processor of the server, and the playback terminal is used to send the played multimedia content and corresponding temperature information to the server; the processor of the service terminal determines the temperature comfort type of the played multimedia content through the pre-stored table corresponding to temperature information and emotions, and compares it with the real-time temperature stored in the database to determine whether the temperature comfort type of the played multimedia content is met;

[0095] The playback terminal performs video communication with the server.

[0096] It should be noted that the system realizes intelligent playback of multimedia content through the table of temperature information and emotions pre-stored in the server and the playback terminal set in each nursing unit. The playback terminal here refers to the device located in the center of the nursing unit, which is responsible for sending multimedia content and corresponding temperature information to the server. The table of temperature information and emotions is a database that contains the possible emotional states of the elderly at different temperatures and is used to guide the selection of multimedia content.

[0097] Specifically, the communication module of the playback terminal is connected to the processor of the server, which means that the playback terminal can exchange data with the server. The server determines the temperature comfort type of the currently playing multimedia content based on the pre-stored table of temperature information and emotions, and compares it with the real-time temperature stored in the database to determine whether the temperature comfort type of the multimedia content is met. This process involves multiple technical links such as temperature sensing, data comparison and content selection.

[0098] Preferably, the system can further refine the functions of the playback terminal. For example, the playback terminal can automatically select multimedia content suitable for the current emotional state of the elderly according to the temperature and emotion correspondence table monitored in real time.

[0099] Furthermore, the system can also set up a feedback mechanism to adjust the selection of subsequent content based on the elderly’s response to the played content to improve the relevance and attractiveness of the content. As an alternative, the system can also integrate a recommendation algorithm to intelligently recommend personalized multimedia content based on the elderly’s historical preferences and current environmental conditions, thereby improving the elderly’s viewing experience.

[0100] The above-mentioned embodiments of the present invention have the following beneficial effects: the smart elderly care service management system described in the present invention can realize real-time monitoring of the elderly's body temperature and environmental temperature and humidity, as well as intelligent adjustment based on these data by integrating multiple sensors and modules. This system can ensure that the elderly live in a suitable environment, and at the same time interact with the elderly through the voice module to improve the quality of life and safety of the elderly. Through automated temperature and humidity control, the system can reduce dependence on manual intervention, improve the timeliness and accuracy of adjustment, and thus provide a more comfortable and safe living environment for the elderly.

[0101] In addition, the system can generate voice units based on text information through the dynamic voice library of the voice module, making communication with the elderly more natural and personalized. The system can also automatically adjust the multimedia content played according to the changes in the elderly's body temperature and the ambient temperature and humidity, and interact with the server through video communication, which can not only enrich the spiritual life of the elderly, but also improve the interactivity and personalization of elderly care services. Through the application of these technologies, the system can better meet the physiological and psychological needs of the elderly and improve the overall effect of elderly care services.

[0102] like Figure 2 As shown, some embodiments of a smart elderly care service management method 200 based on the Internet of Things include:

[0103] The server also stores a temperature and humidity-emotion-health matching relationship table;

[0104] The server also receives body temperature data and temperature and humidity data monitored by the human body sign sensing module sent by the service terminal;

[0105] The method comprises the following steps:

[0106] Step S110: Acquire the ambient temperature and humidity, and obtain the elderly's emotions according to the pre-built temperature and humidity-emotion-health matching relationship table;

[0107] Step S120: receiving the body temperature data sent by the service terminal, and updating the physical health of the elderly according to the body temperature data;

[0108] Step S130: Automatically obtain the type of multimedia content to be played based on the physical signs, emotions and physical health of the elderly, and transmit it to the playback terminal.

[0109] In some embodiments, the step of updating the physical health of the elderly includes the following steps:

[0110] In the initial state, the physical health of the old man is x 1, the elderly person is prone to colds. If the elderly person's body temperature is greater than 36.5°C, the physical health level remains x 1 ;

[0111] If the body temperature of the elderly person is not greater than 36.5°C, then the physical health is y, and the physical health is x. 1 There is a relationship between physical health y and physical health y. The value of physical health y is less than that of physical health x. 1 The value of

[0112] After temperature and humidity adjustment, the physical health of the elderly remains x 1 .

[0113] It should be noted that the data management method of the system involves the temperature and humidity-emotion-health matching relationship table stored in the server, and the body temperature data monitored by the human body sign sensing module sent by the service terminal.

[0114] It should be noted that the temperature and humidity-emotion-health matching relationship table is a database that records the relationship between environmental temperature and humidity conditions and individual emotional states and health, and associates environmental temperature and humidity conditions with individual emotions and health states. The temperature and humidity-emotion-health matching relationship table is constructed based on scientific research and data analysis, and is used to predict or evaluate how people's emotions and health states may change under specific temperature and humidity conditions.

[0115] The construction of the temperature-humidity-emotion-health matching relationship table first collects individual emotion and health data under different temperature and humidity conditions. This can be achieved through questionnaires, physiological monitoring equipment (such as heart rate monitors, skin temperature sensors), psychological tests, etc. For example, in a study, researchers may ask participants to complete an emotion questionnaire in rooms with different temperatures and humidity while monitoring their physiological indicators.

[0116] In addition, psychological and data science methods, such as emotion recognition algorithms, can be used to analyze the emotional state of individuals. These algorithms may be based on technologies such as text analysis, facial expression recognition, and speech analysis. For example, by analyzing the use of language in the questionnaire, it is possible to identify the anxiety or discomfort that individuals may show in high temperature and high humidity environments. Assess the health status of individuals, including physiological health indicators (such as blood pressure, heart rate, etc.) and mental health indicators (such as anxiety and depression scale scores). For example, by monitoring the heart rate and blood pressure of participants, the impact of high temperature environments on their cardiovascular health can be assessed.

[0117] Design a questionnaire to directly ask the elderly about their emotional state, such as using an emotional scale for assessment. The questionnaire can include the question: "Are you comfortable with the current indoor temperature?" and provide options such as "very comfortable", "comfortable", "average", "uncomfortable", and "very uncomfortable". It is also possible to infer the emotional state of the elderly by observing their behavior and daily activities. For example, if the elderly appear irritable and restless in high temperatures, they may be recorded as being in a bad mood. It is also possible to monitor the elderly's physiological indicators, such as heart rate, skin conductance, etc., which may be related to emotional state through the use of wearable devices.

[0118] Exemplarily, the temperature and humidity-emotion-health matching relationship table is shown in Table 1.

[0119] Table 1

[0120] Temperature and humidity conditions Emotional state Health Temperature 22℃, humidity 40% Emotional stability High health Temperature: 28℃, humidity 60% Irritable mood Medium health Temperature: 30℃, humidity 70% Emotional anxiety Low health Temperature: 18℃, humidity 30% Emotional calm Medium health Temperature: 15℃, humidity 50% Low mood Low health

[0121] The first column of the table describes the specific environmental temperature and humidity level. For example, "Temperature: 22°C, Humidity: 40%" indicates a specific environmental state, that is, the temperature is 22 degrees Celsius and the humidity is 40%. The second column predicts or records the individual's emotional response based on the temperature and humidity conditions. For example, "Emotionally stable, comfortable" means that under specific temperature and humidity conditions, the individual may feel emotionally stable and comfortable. The third column describes the individual's health level under specific temperature and humidity conditions. For example, "High health" means that under this temperature and humidity condition, the individual's health status is good.

[0122] First, obtain the ambient temperature and humidity, and obtain the emotional state of the elderly according to the temperature and humidity-emotion-health matching relationship table. Then, receive the temperature data sent by the service terminal, and update the physical health of the elderly according to these data. In this process, the physical health of the elderly in the initial state is set as a benchmark value. For example, if the temperature data of the elderly is greater than 36.5℃, the physical health remains unchanged; if it is not greater than 36.5℃, the physical health will be adjusted according to the preset relationship, and the new physical health value will be less than the initial value.

[0123] Preferably, the system can further refine the steps of updating the physical health of the elderly. For example, the system can set an algorithm to dynamically adjust the calculation method of the physical health according to the body temperature data of the elderly and the ambient temperature and humidity.

[0124] Furthermore, the system can also automatically adjust the temperature and humidity control strategy according to the changing trend of the elderly's physical health to optimize the elderly's living environment. As an alternative, the system can also integrate a prediction model to predict the changes in the elderly's body temperature and health based on historical data, so as to adjust the environment in advance to maintain the elderly's health.

[0125] In some embodiments, the server stores a temperature and humidity-emotion-health matching relationship table, and the service terminal is further provided with a human body sign sensing module, a temperature and humidity acquisition module, a temperature and humidity control module, and a voice module;

[0126] The method comprises the following steps:

[0127] Step S210: receiving the body temperature data of the elderly collected by the human body sign collection module monitored by the human body sign sensing module;

[0128] Step S220: determine whether the physical sign data collected by the human physical sign collection module is abnormal. If the temperature is abnormal, obtain the temperature and humidity data collected by the temperature and humidity collection module, and calculate the physical sign abnormality value D in combination with the temperature and humidity-emotion-health matching relationship table;

[0129] Step S230: In combination with the abnormal temperature and humidity value D, the temperature and humidity control module adjusts the temperature and humidity in the nursing unit so that the abnormal temperature and humidity value D gradually decreases to 0.

[0130] It should be noted that the system provides a service terminal control method, which uses the temperature and humidity-emotion-health matching relationship table stored in the server, as well as the human body sign sensing module, temperature and humidity acquisition module, temperature and humidity control module and voice module in the service terminal. The service terminal control method here refers to a series of operating steps for monitoring and adjusting the environment in the nursing unit to ensure the comfort and health of the elderly.

[0131] Specifically, the method first receives the body temperature data of the elderly monitored by the human body sign sensing module. The human body sign sensing module can be a wearable device or a sensor fixed in the nursing unit, which is used to monitor the body temperature of the elderly in real time. Then, the system determines whether these vital sign data are abnormal. If the temperature is found to be abnormal, the system will obtain the temperature and humidity data collected by the temperature and humidity acquisition module, and combine the temperature and humidity-emotion-health matching relationship table to calculate the abnormal value of the vital sign. The temperature and humidity acquisition module can be a thermometer and a hygrometer, which can measure the ambient temperature and humidity in the nursing unit regularly or in real time.

[0132] Preferably, the system can further refine the operation steps of the service terminal control method. For example, when the temperature is abnormal, the system can calculate the body temperature change rate in combination with the temperature and humidity-body temperature correspondence table, and adjust the adjustment speed of the temperature and humidity control module according to this change rate. The calculation of the adjustment speed can be based on a preset time point and body temperature change rate, as well as a preset temperature comfort change rate.

[0133] Furthermore, the system can also set up a feedback mechanism to automatically optimize the adjustment strategy according to the changes in the elderly's body temperature and the adjustment effects of the ambient temperature and humidity. As an alternative, the system can also integrate an adaptive learning algorithm to intelligently adjust the temperature and humidity adjustment parameters based on historical data and real-time feedback to more accurately meet the comfort needs of the elderly.

[0134] In some embodiments, when the temperature is abnormal, the temperature change rate is calculated by combining the temperature and humidity-body temperature correspondence table.

[0135]

[0136] Among them, V i1 is the temperature value at the next moment, V is the normal temperature value, T 1 Time for the next moment;

[0137] In step S230, the control module controls the temperature and humidity adjustment speed in the nursing unit according to the following formula:

[0138]

[0139] Where u is the abnormal value of temperature and humidity D, t 1 is the first preset time, t 2 is greater than t 1 The second preset time, t 3 is the third preset time, e is the body temperature change rate, e + It is the opposite of the body temperature change rate e;

[0140] ΔT is the preset temperature comfort change rate, t 2 It is the average value of the preset temperature comfort change time;

[0141] The temperature of the nursing unit is T 4 , the humidity of the nursing unit is u 4 The temperature change rate of the adjustment is f℃ / min, and the humidity change rate of the adjustment is e 4 % / min, calculate the temperature change rate f℃ / min and humidity change rate e according to the following formula 4 % / min:

[0142]

[0143] Wherein, the body temperature data is V 3 , T is the preset time, T 0 is the initial time, It is the average value of the preset time period.

[0144] It should be noted that in the service terminal control method, the system pays special attention to the calculation of the body temperature change rate and the control of the temperature and humidity adjustment speed under abnormal temperature conditions. The body temperature change rate here refers to the change ratio of the body temperature values ​​at two consecutive time points, and the temperature and humidity abnormality value refers to the deviation between the actual temperature and humidity and the preset comfortable temperature and humidity.

[0145] Specifically, when the system detects abnormal temperature, it will calculate the body temperature change rate based on the temperature and humidity-body temperature correspondence table. The calculation formula for the body temperature change rate is:

[0146] ΔT=T next -T normal

[0147] Where T next is the temperature value at the next moment, T normal is the normal body temperature value. Then, the system will control the temperature and humidity adjustment speed in the nursing unit according to the abnormal temperature and humidity values ​​and the temperature change rate. The calculation formula for the adjustment speed is:

[0148] ΔRH=RH 4 -RH 2 -ΔT×(T + / T 3 -T 2 ))

[0149] RH 4 is the preset temperature comfort change rate, T 1 is the first preset time, T 2 is greater than T 1 The second preset time, T 3 is the third preset time, T + It is the opposite of the rate of change of body temperature.

[0150] Preferably, the system can further refine the calculation and control process of the temperature and humidity adjustment speed. For example, the system can set multiple preset time points to adapt to the physiological rhythm and environmental needs of the elderly in different time periods. The regulated temperature change rate and humidity change rate can be dynamically adjusted according to seasonal changes, the health status of the elderly and historical data.

[0151] Furthermore, the system can also integrate an optimization algorithm to automatically adjust the preset time point and adjustment speed according to real-time data and prediction models to achieve more refined environmental control. As an alternative, the system can also use fuzzy logic control technology to achieve more flexible and adaptable temperature and humidity adjustment based on the fuzzy set of temperature and humidity abnormal values ​​and body temperature change rate.

[0152] In some embodiments, in step S220, the temperature and humidity acquisition module acquires temperature data and calculates the temperature and humidity difference f1 The difference between the preset temperature and humidity value f;

[0153] If the temperature and humidity difference f 1 If the temperature and humidity difference is greater than the preset value f, the temperature and humidity are automatically regulated by the temperature and humidity control module;

[0154] If the temperature and humidity difference f 1 If the temperature and humidity difference is not greater than the preset temperature and humidity difference f, steps S210 to S230 are repeated.

[0155] It should be noted that in the service terminal control method, the system pays special attention to the temperature data collected by the temperature and humidity acquisition module, and calculates the comparison between the temperature and humidity difference and the preset value based on these data. The temperature and humidity difference here refers to the difference between the actual measured temperature and humidity and the preset ideal temperature and humidity, and the preset temperature and humidity difference is a target value set by the system according to the comfort standard.

[0156] Specifically, the system collects temperature data through the temperature and humidity acquisition module, and calculates the difference between the temperature and humidity and the preset temperature and humidity difference. If the actual temperature and humidity difference is greater than the preset temperature and humidity difference, the system will automatically adjust the temperature and humidity through the temperature and humidity control module to reduce the difference. This process involves the accuracy of the temperature and humidity sensor and the response speed of the control module. The temperature and humidity control module can include equipment such as air conditioners, humidifiers or dehumidifiers, which can adjust the indoor environment according to system instructions.

[0157] Preferably, the system can further refine the automatic control process of temperature and humidity. For example, the system can set a temperature and humidity adjustment algorithm, which can calculate the amplitude and speed of the required adjustment based on the difference between the real-time temperature and humidity data and the preset value.

[0158] Furthermore, the system can dynamically adjust the preset temperature and humidity difference according to the physiological and psychological needs of the elderly and the changes in the indoor and outdoor environment. As an alternative, the system can also integrate an adaptive learning mechanism to optimize the temperature and humidity adjustment strategy based on historical adjustment data and feedback from the elderly to improve the efficiency and effect of the adjustment.

[0159] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0160] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0161] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0162] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0163] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention to form a technical solution.

Claims

1. A smart elderly care service management system based on the Internet of Things, characterized in that: It comprises a plurality of nursing units and a server, each of the nursing units is provided with a human body sign sensing module and a service terminal, and the server is communicatively connected with the service terminal in each of the nursing units; The service terminal includes a body temperature collection system, a processor, a database, a temperature and humidity collection module, a temperature and humidity control module, a voice module and a GPRS remote communication module. The processor is used to execute a computer program to achieve the following functions: receiving body temperature data monitored by the human body sign sensing module, the human body sign sensing module is an infrared sensing device, and is connected to the body temperature collection system; Receive the temperature and humidity data collected by the temperature and humidity acquisition module; combine the temperature and humidity data, body temperature data and the temperature and humidity-body temperature correspondence table pre-stored in the database to determine whether the temperature and humidity of the nursing unit are within an appropriate range; If the temperature and humidity are not within the appropriate range, the temperature and humidity are automatically regulated by the temperature and humidity control module; If the temperature and humidity are within a suitable range, and the human body sign sensing module does not detect body temperature data within a preset time period, then send voice data to control the voice module to play a voice to ask the elderly; The GPRS remote communication module is used to transmit the collected body temperature data to the server.

2. The smart elderly care service management system based on the Internet of Things as claimed in claim 1, characterized in that: The voice module comprises: Voice library, used to store recordings of different voice contents as data voice units; and a speech synthesizer for generating speech units through text analysis based on the text information; The voice library and the voice synthesizer together constitute a dynamic voice library, which is used to support the function of the voice module to play voice data.

3. The smart elderly care service management system based on the Internet of Things as claimed in claim 2 is characterized in that: The voice module plays the voice data of the voice inquiry of the elderly, including the following steps: Using the speech unit in the speech library or the speech unit synthesized by the speech synthesizer as the speech unit of the data to be played; Extracting speech elements from the dynamic speech database, and comparing the speech units of the data to be played with the speech elements to obtain the sound unit with the highest similarity; Play the compared sound units.

4. The smart elderly care service management system based on the Internet of Things as claimed in claim 3 is characterized in that: When the voice module plays the voice data of the voice inquiry of the elderly, the following steps are also included: The end of playing the data voice unit to be played is the first calibration point. If the human body sign sensing module monitors the body temperature data, the new temperature value adjusted by the temperature and humidity control module is the second calibration point. If the first calibration point is the start time T1, if the body temperature acquisition system does not obtain a new temperature value within the time period of [0.1T1, T1] after the first calibration point, the playback of the data voice unit to be played is terminated.

5. The smart elderly care service management system based on the Internet of Things as claimed in claim 1, characterized in that: The server pre-stores a table corresponding to temperature information and emotions, each of the nursing units is provided with a playback terminal for playing multimedia content, the playback terminal is arranged at the center of the nursing unit, each service terminal of the nursing unit is connected to the playback terminal in communication, the communication module of the playback terminal is connected to the processor of the server, and the playback terminal is used to send the played multimedia content and corresponding temperature information to the server; the processor of the service terminal determines the temperature comfort type of the played multimedia content through the pre-stored table corresponding to temperature information and emotions, and compares it with the real-time temperature stored in the database to determine whether the temperature comfort type of the played multimedia content is met; The playback terminal performs video communication with the server.

6. A data management method for a smart elderly care service management system based on the Internet of Things, characterized in that: The server also stores a temperature and humidity-emotion-health matching relationship table; The server also receives body temperature data and temperature and humidity data monitored by the human body sign sensing module sent by the service terminal; The method comprises the following steps: Step S110: Acquire the ambient temperature and humidity, and obtain the elderly's emotions according to the pre-built temperature and humidity-emotion-health matching relationship table; Step S120: receiving the body temperature data sent by the service terminal, and updating the physical health of the elderly according to the body temperature data; Step S130: Automatically obtain the type of multimedia content to be played based on the physical signs, emotions and physical health of the elderly, and transmit it to the playback terminal.

7. The data management method of the smart elderly care service management system based on the Internet of Things as claimed in claim 6 is characterized in that: The step of updating the physical health of the elderly includes the following steps: In the initial state, the physical health of the elderly is x1, and the elderly are prone to colds. If the body temperature of the elderly is greater than 36.5°C, the physical health remains x1; If the body temperature data of the elderly person is not greater than 36.5°C, the physical health degree is y, and there is a relationship between the physical health degree x1 and the physical health degree y, and the value of the physical health degree y is less than the value of the physical health degree x1; After temperature and humidity adjustment, the physical health of the elderly person remains x1.

8. A service terminal control method for a smart elderly care service management system based on the Internet of Things, characterized in that: The server stores a temperature and humidity-emotion-health matching relationship table, and the service terminal is also provided with a human body sign sensing module, a temperature and humidity acquisition module, a temperature and humidity control module and a voice module; The method comprises the following steps: Step S210: receiving the body temperature data of the elderly collected by the human body sign collection module monitored by the human body sign sensing module; Step S220: determine whether the physical sign data collected by the human physical sign collection module is abnormal. If the temperature is abnormal, obtain the temperature and humidity data collected by the temperature and humidity collection module, and calculate the physical sign abnormality value D in combination with the temperature and humidity-emotion-health matching relationship table; Step S230: In combination with the abnormal temperature and humidity value D, the temperature and humidity control module adjusts the temperature and humidity in the nursing unit so that the abnormal temperature and humidity value D gradually decreases to 0.

9. The service terminal control method of the smart elderly care service management system based on the Internet of Things as claimed in claim 8, characterized in that: When the temperature is abnormal, calculate the temperature change rate based on the temperature, humidity and body temperature correspondence table Among them, V i1 is the temperature value at the next moment, V is the normal temperature value, and T1 is the time at the next moment; In step S230, the control module controls the temperature and humidity adjustment speed in the nursing unit according to the following formula: Wherein, u is the abnormal value of temperature and humidity D, t1 is the first preset time, t2 is the second preset time greater than t1, t3 is the third preset time, e is the body temperature change rate, e + It is the opposite of the body temperature change rate e; ΔT is the preset temperature comfort change rate, and t2 is the average value of the preset temperature comfort change time; The temperature of the nursing unit is T4, the humidity of the nursing unit is u4, the adjusted temperature change rate is f°C / min, and the adjusted humidity change rate is e4% / min. The temperature change rate f°C / min and the humidity change rate e4% / min are calculated according to the following formula: Wherein, the body temperature data is V3, Y is the preset time, T0 is the initial time, It is the average value of the preset time period.

10. The service terminal control method of the smart elderly care service management system based on the Internet of Things as claimed in claim 8, characterized in that: In the step S220, the temperature and humidity acquisition module acquires temperature data and calculates the difference between the temperature and humidity difference f1 and the preset temperature and humidity difference f; If the temperature and humidity difference f1 is greater than the preset temperature and humidity difference f, the temperature and humidity are automatically regulated by the temperature and humidity control module; If the temperature and humidity difference f1 is not greater than the preset temperature and humidity difference f, steps S210 to S230 are repeated.

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