Rescue and management system and method based on artificial intelligence

Abstract

The embodiment of the invention provides a rescue and management system and method based on artificial intelligence, and the system comprises a terminal layer which is used for receiving voice information and fingerprint information of a user through an intelligent terminal, and extracting features in the voice information and the fingerprint information to obtain feature information; the platform layer is used for obtaining the health condition according to the feature information and sending the health condition to the service layer; and the service layer is used for establishing a three-level response network, receiving the health condition, analyzing the level of the health condition and starting response according to the three-level response network and the level of the health condition. According to the embodiment of the invention, the voice information and the fingerprint information of the user can be extracted to obtain the health condition, then the response is started according to the three-level response network and the level of the health condition, and quick response and health management of emergency rescue are realized.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence technology, and particularly to a rescue and management system and method based on artificial intelligence. Background Art

[0002] Currently, some elderly people live scattered, and it is difficult to quickly obtain effective rescue when facing emergencies. Traditional methods such as phone calls for help are difficult for some elderly people who are not familiar with operating electronic devices or have hearing or vision impairments. There is also a lack of effective means for the daily health management of the elderly. Summary of the Invention

[0003] This application aims to solve at least one of the technical problems existing in the prior art. For this reason, this application proposes a rescue and management system and method based on artificial intelligence, aiming to achieve rapid response to emergency rescue and health management.

[0004] In a first aspect, an embodiment of this application provides a rescue and management system based on artificial intelligence, and the system includes: A terminal layer, configured to receive voice information and fingerprint information of a user through an intelligent terminal, and extract features in the voice information and fingerprint information to obtain feature information; A platform layer, configured to obtain a health status based on the feature information and send the health status to a service layer; A service layer, configured to establish a three-level response network and receive the health status, analyze the level of the health status, and initiate a response according to the three-level response network and the level of the health status.

[0005] According to some embodiments of this application, the intelligent terminal includes: Buttons, including two operation modes: long press and short press; An indicator light, the color displayed by the indicator light includes at least one of the following: red, yellow, green, where red indicates an emergency, yellow indicates an abnormality of the intelligent terminal, and green indicates normal operation; A fall sensor, configured to monitor the motion state of the user in real time; A flashlight, configured to provide illumination in an emergency.

[0006] According to some embodiments of this application, the intelligent terminal further includes: An anti-misoperation mechanism module, configured to continuously monitor the pressing force and pressing time of the button, and execute the function corresponding to the button when the pressing force is greater than or equal to a preset pressing force and the pressing time is greater than or equal to a preset pressing time.

[0007] According to some embodiments of this application, the intelligent terminal further includes a voice interaction system, including: A voice privacy protection module for processing the user's original voice data; A multilingual support module for integrating databases of multiple languages and performing recognition processing on multiple said languages, wherein the types of said languages include at least one of the following: Chinese, English, dialects; A speech rate adjustment module, and the speech rate of the speech broadcast by the speech rate adjustment module is greater than or equal to a first preset number of words per minute and less than or equal to a second preset number of words per minute.

[0008] According to some embodiments of the present application, the platform layer further includes an AI module, and the AI module further includes a medication reminder system and a disease management model, including: The AI module is used to assist the user in obtaining their own symptoms according to the interrogation tree algorithm, remind the user to take medicine according to the own symptoms and OCR recognition of the medicine box, and predict and manage the user's own symptoms according to the disease management model.

[0009] According to some embodiments of the present application, it further includes: Identifying the ambient sound generated by the user through ambient sound recognition technology, and determining the health status according to the ambient sound, wherein the types of the ambient sound include at least one of the following: the sound of falling, the sound of coughing.

[0010] According to some embodiments of the present application, the service layer includes a positioning module, and the positioning module is provided with a GPS+Beidou dual-mode positioning module, and the GPS+Beidou dual-mode positioning module is used to locate the position information of the user in different environments, including: The positioning module is used to obtain a rescue path according to the position information of the user, terrain data and path planning algorithm and load an offline map.

[0011] According to some embodiments of the present application, the positioning module includes: A terrain data acquisition unit for acquiring terrain data of the area where the user lives, and the terrain data includes at least one of the following: roads, rivers, mountains; A path planning unit for calculating the path for the rescue personnel to reach the user's position according to the terrain data and the position information of the user by using a path planning algorithm; An offline map loading unit for generating offline map data according to the path and pre-downloading and storing the offline map data of the area where the user is located when the device is connected to the network.

[0012] According to some embodiments of the present application, the three-level response network includes: A first-level response mechanism for sending the health status to the user's relatives and / or neighborhood volunteers after receiving that the level of the health status is first level; The secondary response mechanism is used to send the health status to the village clinic and / or the township health center when the primary response mechanism fails to process it in a timely manner or receives a secondary-level health status. The tertiary response mechanism is used to send the health status to the county-level hospital when the primary response mechanism and the secondary response mechanism fail to process it in a timely manner or receive a tertiary-level health status.

[0013] In a second aspect, an embodiment of the present application provides an assistance and management method based on artificial intelligence, and the method includes: Receiving the voice information and fingerprint information of the user by the intelligent terminal, and extracting the features in the voice information and the fingerprint information to obtain feature information; Obtaining the health status according to the feature information; Establishing a three-level response network and receiving the health status, analyzing the level of the health status, and initiating a response according to the three-level response network and the level of the health status.

[0014] In a third aspect, an embodiment of the present application proposes an electronic device, including a memory and a processor, where the memory stores a computer program or instruction, and when the processor executes the computer program or instruction, it implements the assistance and management method based on artificial intelligence as described in the second aspect above. In a fourth aspect, an embodiment of the present application proposes a computer-readable storage medium, on which a computer program or instruction is stored, and when the computer program or instruction is executed by a processor, it implements the assistance and management method based on artificial intelligence as described in the second aspect above.

[0015] According to the technical solution of the embodiment of the present application, it has at least the following beneficial effects: The system of the embodiment of the present application includes: a terminal layer, which is used to receive the voice information and fingerprint information of the user by the intelligent terminal, and extract the features in the voice information and fingerprint information to obtain feature information; a platform layer, which is used to obtain the health status according to the feature information and send the health status to the service layer; a service layer, which is used to establish a three-level response network and receive the health status, analyze the level of the health status, and initiate a response according to the three-level response network and the level of the health status. The embodiment of the present application can extract the voice information and fingerprint information of the user to obtain the health status, and then initiate a response according to the three-level response network and the level of the health status, realizing the rapid response of emergency assistance and health management.

[0016] The additional aspects and advantages of the present application will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present application. Description of the Drawings

[0017] The accompanying drawings are used to provide a further understanding of the technical solutions of the present application, and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solutions of the present application, and do not constitute a limitation to the technical solutions of the present application.

[0018] Figure 1 It is a schematic structural diagram of a rescue and management system based on artificial intelligence provided for an embodiment of the present application; Figure 2 It is a schematic structural diagram of an intelligent terminal provided for an embodiment of the present application; Figure 3 It is a schematic structural diagram of a voice interaction system provided for an embodiment of the present application; Figure 4 It is a schematic structural diagram of a positioning module provided for an embodiment of the present application; Figure 5 It is a schematic structural diagram of a three-level response network provided for an embodiment of the present application; Figure 6 It is a schematic flow diagram of a rescue and management method of artificial intelligence provided for an embodiment of the present application; Figure 7 It is a schematic structural diagram of an electronic device provided for an embodiment of the present application. Detailed Description of the Embodiment

[0019] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and should not be construed as a limitation to the present application.

[0020] In the description of the present application, it should be understood that the orientation or positional relationship indicated by terms such as up, down, front, back, left, right, etc. is based on the orientation or positional relationship shown in the accompanying drawings. It is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present application.

[0021] In the description of the present application, the meaning of "several" is one or more, the meaning of "multiple" is two or more, and understandings such as "greater than", "less than", "exceeding", etc. do not include the present number, and understandings such as "above", "below", "within", etc. include the present number. If there is a description of "first" and "second", it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features or implicitly indicating the sequence relationship of the indicated technical features.

[0022] In the description of this application, unless otherwise clearly defined, terms such as "setting", "installation", "connection", etc. should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in this application in combination with the specific content of the technical solution.

[0023] At present, some elderly people live scattered, and it is difficult to obtain effective assistance quickly in case of emergencies. Moreover, traditional methods such as calling for help are difficult for some elderly people who are not familiar with the operation of electronic devices or have hearing or vision impairments. There is also a lack of effective means for the daily health management of the elderly.

[0024] The rescue and management method based on artificial intelligence provided by the embodiments of this application will be specifically described through the following embodiments. First, the rescue and management method based on artificial intelligence in the embodiments of this application will be described.

[0025] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to obtain the best results.

[0026] Artificial intelligence basic technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, and mechatronics. Artificial intelligence software technologies mainly include several major directions such as computer vision technology, robotics, biometric technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0027] The rescue and management method based on artificial intelligence provided by the embodiments of this application relates to the field of artificial intelligence technology. The rescue and management method based on artificial intelligence provided by the embodiments of this application can be applied to terminals, can also be applied to server sides, or can be software running on terminals or server sides. In some embodiments, the terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc.; the server side can be configured as an independent physical server, can also be configured as a server cluster or distributed system composed of multiple physical servers, or can be configured as a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the rescue and management method based on artificial intelligence, etc., but is not limited to the above forms.

[0028] This application can be used in numerous general-purpose or special-purpose computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and so on. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This application can also be practiced in a distributed computing environment where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0029] It should be noted that in each specific embodiment of this application, when it comes to relevant processing based on data related to the user's identity or characteristics, such as user information, user behavior data, user historical data, and user location information, the user's permission or consent will be obtained first. Moreover, the collection, use, and processing of these data will comply with relevant laws, regulations, and standards. In addition, when this application embodiment needs to obtain the user's sensitive personal information, it will obtain the user's separate permission or separate consent through methods such as pop-up windows or redirecting to a confirmation page. After clearly obtaining the user's separate permission or separate consent, the necessary user-related data for the normal operation of this application embodiment will be obtained.

[0030] Please refer to Figure 1 , Figure 1 which is a schematic structural diagram of an artificial-intelligence-based rescue and management system provided for an embodiment of this application. The artificial-intelligence-based rescue and management system includes: A terminal layer, which is used to receive the user's voice information and fingerprint information through an intelligent terminal, and extract the features in the voice information and fingerprint information to obtain feature information; A platform layer, which is used to obtain the health status based on the feature information and send the health status to the service layer; A service layer, which is used to establish a three-level response network and receive the health status, analyze the level of the health status, and initiate a response based on the three-level response network and the level of the health status.

[0031] In one embodiment, the terminal layer receives the user's voice information and fingerprint information through a smart terminal, and uses voice recognition technology and fingerprint recognition algorithms to extract voice features (such as intonation, speaking speed, voiceprint) and fingerprint features (such as fingerprint lines and node features). The smart terminal device is equipped with a high-precision microphone and fingerprint sensor, and converts the collected voice and fingerprint information into feature vectors through a built-in signal processing module and AI algorithm; the platform layer receives the feature information uploaded by the terminal layer, and analyzes the user's health status through an AI model in combination with other physiological parameters. For example, abnormalities in voice features may indicate fatigue or emotional problems, and the stability of fingerprint features can be used for identity authentication to ensure data accuracy; the service layer establishes a three-level response network, and initiates corresponding response measures based on the health status level analyzed by the platform layer. The service layer realizes data sharing and task scheduling through the cloud platform, and combines the low latency characteristics of the 5G network to ensure rapid response in emergency situations, and realize rapid response and health management of emergency rescue.

[0032] See also Figure 2 , Figure 2 A schematic diagram of the structure of an intelligent terminal provided in one embodiment of the present application, wherein the intelligent terminal includes: Button, including two operation modes: long press and short press; Indicator light, the color displayed by the indicator light includes at least one of the following: red, yellow, and green, red indicates an emergency, yellow indicates an abnormality of the smart terminal, and green indicates normal operation; Fall sensor, the sensor is used to monitor the user's movement status in real time; Flashlight, a flashlight is used to provide lighting in emergency situations.

[0033] In one embodiment, the short press mode of the button is used to activate the basic functions of the device, such as checking the current time and health data (heart rate, blood pressure, etc.), and the long press mode of the button is used to trigger the emergency help function. The device will automatically send help information (such as text messages, voice messages or APP notifications) to the preset emergency contacts, and activate other auxiliary functions (such as indicator light flashing, flashlight lighting). Users can set custom functions for short press and long press through the APP according to their needs. For example, a short press can switch to display health data and sports data, and a long press can quickly start heart rate monitoring; long press the button to activate the SOS mode, the device automatically enters the emergency state, sends help signals in a loop, and records the user's real-time location information so that rescuers can quickly locate it.

[0034] In one embodiment, red indicates an emergency situation, such as detecting that the user has fallen or has an abnormal heart rate, yellow indicates an abnormality of the smart terminal, such as low battery, sensor failure, or network connection failure, and green indicates that the device is operating normally and the user is in good health. The indicator light can combine different flashing frequencies of different colors to provide a richer status prompt. For example, rapid flashing of red indicates a severe emergency, and slow flashing of red indicates a moderate emergency. At the same time, in the night or low-light environment, the brightness of the indicator light automatically decreases to avoid disturbing the user's rest. The user can remotely view the status of the indicator light through the mobile phone APP and obtain detailed health or device abnormality information.

[0035] In one embodiment, through the accelerometer and gyroscope, the motion state of the user is monitored in real time to determine whether a fall event occurs. When a fall is detected, the device automatically triggers an emergency assistance process, notifies the preset contacts, and activates the indicator light flashing and flashlight illumination. Combining artificial intelligence algorithms, it can not only identify fall events, but also identify other abnormal motion patterns. For example, long-term stillness may indicate fainting, or violent movement may indicate panic. According to the user's age, health status, and historical data, the fall risk is evaluated, and the user is reminded through the APP to take preventive measures. Combining environmental sensors to determine whether the fall occurs in a dangerous environment and provide more detailed alarm information.

[0036] In one embodiment, in an emergency, long-pressing the button automatically turns on the flashlight to provide illumination for the user to facilitate finding a safe exit or waiting for rescue. The flashlight can flash an SOS signal to help rescuers quickly locate. Combining with the ambient light sensor, the brightness of the flashlight is automatically adjusted to extend the battery life. While the flashlight is flashing, the device can emit a low-frequency sound signal to help rescuers quickly locate through sound and light signals. Combining GPS and map data, the flashlight can flash light signals of different frequencies to guide the user to a safe area.

[0037] In one embodiment, when the user accidentally falls, the fall sensor immediately detects the abnormal motion state. The device automatically triggers the flashing of the red indicator light and emits an SOS signal through the flashlight. Long-pressing the button activates the emergency assistance function. The device sends a help message to the preset emergency contacts and records the user's location.

[0038] Please refer to Figure 2 , Figure 2 which is a schematic structural diagram of the smart terminal provided by an embodiment of the present application. The smart terminal further includes: An anti-misoperation mechanism module for continuously monitoring the pressing force and pressing time of the button. When the pressing force is greater than or equal to the preset pressing force and the pressing time is greater than or equal to the preset pressing time, the function corresponding to the button is executed.

[0039] In one embodiment, the anti-misoperation mechanism module continuously monitors the pressing force and pressing time of the button. Only when the pressing force is greater than or equal to a preset value and the pressing time exceeds a preset threshold can the function corresponding to the button be executed. This is applicable to smart wearable devices or mobile devices, avoiding accidental operations caused by pocket squeezing or misoperation, and can dynamically adjust the sensitivity of the button according to the user's operating habits and environmental conditions. For example, the pressing force threshold is automatically increased in a high-vibration environment, and the user can customize the pressing force and time thresholds according to the usage scenarios (such as daily use, sports mode, pocket mode).

[0040] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of a voice interaction system provided by an embodiment of the present application. The voice interaction system includes: A voice privacy protection module for processing the user's original voice data; A multi-language support module for integrating databases of multiple languages and performing recognition processing on multiple languages. Among them, the types of languages include at least one of the following: Chinese, English, and dialects; A speech rate adjustment module, and the speech rate of the speech rate adjustment module for speech broadcast is greater than or equal to a first preset number of words per minute and less than or equal to a second preset number of words per minute.

[0041] In one embodiment, by generating voice confusion noise and superimposing the original voice data with the confusion noise, user privacy is protected. Even if the data is intercepted during transmission, the original voice cannot be restored. The voice data is anonymized for voiceprint features using deep learning models (such as Fastspeech2 and HiFiGAN), while retaining the naturalness of the voice. The voice data is encrypted and feature extracted at the device end, and the recognizable individual features are stripped before being transmitted to the cloud, reducing the risk of privacy leakage.

[0042] In one embodiment, it supports the recognition and processing of multiple languages (such as Chinese, English, Japanese, Cantonese, Korean) and dialects. The number of dialect types is more than 8. It supports multi-language interaction, meets the needs of different users, supports voice control in multiple languages, and improves the user experience.

[0043] In one embodiment, the customer can set the speech rate of the speech broadcast according to personal preferences, and the range is between the first preset number of words per minute and the second preset number of words per minute. The first preset number of words can be 30, and the second preset number of words can be 120. The speech rate is automatically adjusted according to the complexity of the speech content and environmental noise to ensure the clarity of the speech broadcast, and the speech rate is automatically adjusted in different scenarios (such as quiet environment, noisy environment) to improve the efficiency of voice interaction.

[0044] In one embodiment, the platform layer further includes an AI module, and the AI module further includes a medication reminder system and a disease management model, including: the AI module is used to assist users in obtaining their own symptoms according to the interrogation tree algorithm, remind users to take medicine according to their own symptoms and OCR recognition of medicine boxes, and predict and manage users' own symptoms according to the disease management model.

[0045] In one embodiment, users can input the drug name and medication time by voice. The system uses voice recognition technology to analyze key information and set medication reminders. The system can also use OCR technology to identify key information on the medicine box (such as drug name, usage and dosage), and generate personalized medication reminders based on this information. The system generates a personalized medication plan according to the user's medication history, disease type and physical condition, and clearly reminds the user of daily medication time, dosage and other information.

[0046] In one embodiment, ambient sound recognition technology is used to recognize the ambient sound generated by the user, and the health status is determined according to the ambient sound. The types of ambient sound include at least one of the following: the sound of falling, the sound of coughing.

[0047] It should be noted that the terminal layer further includes a multi-feedback mechanism, and the multi-feedback mechanism includes vibration, voice and light. By analyzing the frequency and intensity characteristics of the sound, a fall event is recognized. When the sound of falling is detected, the device will immediately trigger an alarm and remind the user or emergency contact through the multi-feedback mechanism (vibration, voice, light); a deep neural network (such as ResNet) is used to model and recognize the sound of coughing. The system will extract the characteristics of the sound of coughing (such as MFCC characteristics) from the background noise, and combine voiceprint recognition technology to confirm whether it is the cough of the monitoring object. Based on the frequency, intensity and duration of the sound of coughing, the system can preliminarily judge the user's health status, such as whether there is a respiratory tract infection or chronic respiratory diseases.

[0048] In one embodiment, the service layer includes a positioning module, and the positioning module is provided with a GPS+Beidou dual-mode positioning module. The GPS+Beidou dual-mode positioning module is used to locate the user's location information in different environments, including: the positioning module is used to obtain a rescue path according to the user's location information, terrain data and path planning algorithm and load an offline map.

[0049] It should be noted that the GPS+Beidou dual-mode positioning module combines the signals of the Beidou and GPS satellite systems, and can provide more accurate positioning services in complex environments (such as urban canyons, mountains, tunnels, etc.).

[0050] Please refer to Figure 4 , Figure 4 which is a schematic structural diagram of the positioning module provided by an embodiment of the present application. The positioning module includes: A terrain data acquisition unit for acquiring terrain data of the user's residential area, where the terrain data includes at least one of the following: roads, rivers, mountains; A path planning unit for calculating, according to the terrain data and the user's location information, the path for rescue personnel to reach the user's location by using a path planning algorithm; An offline map loading unit for generating offline map data according to the path and pre-downloading and storing the offline map data of the user's area when the device is connected to the network.

[0051] It should be noted that large-scale terrain information, including mountains, rivers, roads, etc., is obtained through satellite images, and users are allowed to upload their self-drawn topographic maps or mark important landmarks to provide more accurate terrain information in special areas.

[0052] It should be noted that the system combines terrain data and the user's location information, and simultaneously considers multiple objectives such as the shortest path, the shortest time, and the highest safety to generate an optimal rescue path. According to the real-time traffic conditions, terrain changes, or the user's movement, the path planning is dynamically adjusted, and customized path planning algorithms are provided for different scenarios (such as mountainous areas, cities, waters). For example, flat roads are preferred in mountainous areas, and congested areas are avoided first in cities.

[0053] In one embodiment, according to the user's area and the path planning result, the relevant area's offline map data is automatically downloaded and stored, supporting the user to customize the offline map range. The user can download the map of a specific area according to the need, and the offline map data is automatically updated when the device is connected to the network to ensure the timeliness of the map information. The offline map supports functions such as path planning, navigation, and landmark search, and can be used normally even in a network-free environment. The voice broadcast function of the offline map is provided to help rescue personnel quickly find the target location in a complex environment, and the multi-language display of the offline map is supported to meet the needs of rescue personnel with different language backgrounds.

[0054] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of a three-level response network provided by an embodiment of the present application. The three-level response network includes: A first-level response mechanism for sending the health status to the user's relatives and / or neighborhood volunteers after receiving that the level of the health status is first level; A second-level response mechanism for sending the health status to the village clinic and / or township health center when the first-level response mechanism fails to process it in time or receives that the level of the health status is second level; A third-level response mechanism for sending the health status to the county-level hospital when the first-level response mechanism and the second-level response mechanism fail to process it in time or receive that the level of the health status is third level.

[0055] In one embodiment, when the system detects that the user's health condition reaches the first (emergency) level, a first-level response is immediately initiated. The system automatically sends the health condition information to the user's relatives and / or neighborhood volunteers, notifying the relevant personnel via text message, APP push, or voice call to ensure rapid information transmission. Relatives or volunteers can view the user's health data and location information in real time through the APP to ensure the timeliness and accuracy of rescue operations.

[0056] In one embodiment, when the first-level response fails to be processed within the specified time (e.g., within 15 minutes), or the system detects that the health condition is at the second (severe) level, a second-level response is automatically initiated. The system sends the health condition information to the village clinic and / or township health center.

[0057] In one embodiment, when both the first-level and second-level responses fail to be processed in a timely manner, or the system detects that the health condition is at the third (critical) level, a third-level response is automatically initiated. The system sends the health condition information to the county-level hospital and notifies the relevant departments to make preparations for reception.

[0058] Please refer to Figure 6 , Figure 6 which is a schematic flowchart of the rescue and management method of artificial intelligence provided by an embodiment of this application. As Figure 6 shown, the rescue and management method based on artificial intelligence provided by the embodiment of this application includes, but is not limited to, steps S610 - S630. Each step will be introduced in turn below. Step S610: Receive the user's voice information and fingerprint information through the intelligent terminal, and extract the features in the voice information and fingerprint information to obtain feature information; Step S620: Obtain the health condition based on the feature information; Step S630: Establish a three-level response network and receive the health condition, analyze the level of the health condition, and initiate a response according to the three-level response network and the level of the health condition.

[0059] It should be noted that the rescue and management method of artificial intelligence provided by the embodiment of this application is applied to the rescue and management system of artificial intelligence provided by the above embodiment.

[0060] The embodiment of this application also provides an electronic device. The electronic device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the above-mentioned rescue and management method based on artificial intelligence. This electronic device can be any intelligent terminal including a tablet computer, in-vehicle computer, etc. Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of an electronic device provided by an embodiment of this application. This electronic device includes: The processor 710 can be implemented in the form of a general-purpose central processing unit (CPU), a microprocessor, an application specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application; The memory 720 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM), etc. The memory 720 can store an operating system and other application programs. When implementing the technical solutions provided in the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 720 and are called by the processor 710 to execute the new energy node output power prediction method in the embodiments of the present application; The input / output interface 730 is used to implement information input and output; The communication interface 740 is used to implement communication interaction between this device and other devices, and can implement communication through wired means (such as USB, network cable, etc.) or through wireless means (such as mobile network, WIFI, Bluetooth, etc.); The bus 750 transmits information between various components of the device (such as the processor 710, the memory 720, the input / output interface 730, and the communication interface 740); Among them, the processor 710, the memory 720, the input / output interface 730, and the communication interface 740 are communicatively connected to each other inside the device through the bus 750. The embodiments of the present application also provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, it implements the above-mentioned rescue and management method based on artificial intelligence.

[0061] As a non-transitory computer-readable storage medium, the memory can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory can include high-speed random access memory, and can also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory optionally includes a memory remotely provided relative to the processor, and these remote memories can be connected to the processor through a network. Examples of the above networks include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0062] The system of the embodiment of the present application includes: a terminal layer, configured to receive the voice information and fingerprint information of a user through an intelligent terminal, and extract the features in the voice information and fingerprint information to obtain feature information; a platform layer, configured to obtain a health condition according to the feature information, and send the health condition to a service layer; and a service layer, configured to establish a three-level response network and receive the health condition, analyze the level of the health condition, and initiate a response according to the three-level response network and the level of the health condition. The embodiment of the present application can extract the voice information and fingerprint information of a user to obtain a health condition, and then initiate a response according to the three-level response network and the level of the health condition, so as to achieve a rapid response for emergency rescue and health management.

[0063] The embodiments described in the embodiments of the present application are used to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those skilled in the art can know that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0064] Those skilled in the art can understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than those shown in the figures, or combine certain steps, or different steps.

[0065] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0066] Those of ordinary skill in the art can understand that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, and their appropriate combinations.

[0067] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances, so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0068] It should be understood that in this application, "at least one (item)" means one or more, and "a plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that there can be three relationships. For example, "A and / or B" can mean: only A exists, only B exists, and both A and B exist at the same time. Among them, A and B can be singular or plural. The character " / " generally indicates that the associated objects before and after are in an "or" relationship. "At least one (one)" or its similar expression below refers to any combination of these items, including any combination of single item (one) or plural items (ones). For example, at least one (one) of a, b, or c can mean: "a", "b", "c", "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0069] In several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the above division of units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of devices or units can be in electrical, mechanical, or other forms.

[0070] The units described above as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0071] In addition, each functional unit in each embodiment of this application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0072] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes: various media that can store programs, such as USB flash drives, mobile hard disks, read-only memories (ROM for short), random access memories (RAM for short), magnetic disks, or optical discs.

[0073] The preferred embodiments of the embodiments of this application have been described above with reference to the accompanying drawings, which does not limit the scope of rights of the embodiments of this application. Any modifications, equivalent replacements, and improvements made by those skilled in the art without departing from the scope and essence of the embodiments of this application shall be within the scope of rights of the embodiments of this application.

Claims

1. A rescue and management system based on artificial intelligence, characterized in that: include: The terminal layer is used to extract features from the voice information and fingerprint information of the user received by the intelligent terminal to obtain feature information; The platform layer is used to obtain the health status according to the characteristic information and send the health status to the service layer; The service layer is used to establish a three-level response network and receive the health status, analyze the level of the health status, and initiate a response based on the three-level response network and the level of the health status.

2. The system according to claim 1, characterized in that The intelligent terminal comprises: Button, including two operation modes: long press and short press; An indicator light, wherein the color displayed by the indicator light includes at least one of the following: red, yellow, and green, wherein the red indicates an emergency, the yellow indicates an abnormality of the smart terminal, and the green indicates normal operation; A fall sensor, which is used to monitor the user's motion status in real time; A flashlight is used for lighting in emergency situations.

3. The system according to claim 2, characterized in that The intelligent terminal further includes: The anti-mistouch mechanism module is used to continuously monitor the pressing force and pressing time of the button, and when the pressing force is greater than or equal to the preset pressing force and the pressing time is greater than or equal to the preset pressing time, execute the function corresponding to the button.

4. The system according to claim 2, characterized in that The intelligent terminal also includes a voice interaction system, including: Voice privacy protection module, used to process the user's original voice data; A multi-language support module, used to integrate databases of multiple languages ​​and perform recognition processing on multiple languages, wherein the types of the languages ​​include at least one of the following: Chinese, English, and dialects; A speech rate adjustment module, wherein the speech rate adjustment module performs voice broadcast at a speed greater than or equal to a first preset number of words per minute and less than or equal to a second preset number of words per minute.

5. The system according to claim 1, characterized in that The platform layer also includes an AI module, which also includes a medication reminder system and a symptom management model, including: The AI ​​module is used to assist the user in obtaining his own symptoms according to the diagnosis tree algorithm, remind the user to take medicine according to the self-symptoms and OCR recognition of the medicine box, and predict and manage the user's own symptoms according to the disease management model.

6. The system according to claim 1, characterized in that Also includes: The environmental sound generated by the user is identified by using an environmental sound recognition technology, and the health condition is determined according to the environmental sound, wherein the types of the environmental sound include at least one of the following: falling sound, coughing sound.

7. The system according to claim 1, characterized in that The service layer includes a positioning module, which is provided with a GPS+Beidou dual-mode positioning module, and the GPS+Beidou dual-mode positioning module is used to locate the user's location information in different environments, including: The positioning module is used to obtain a rescue path and load an offline map according to the user's location information, terrain data and a path planning algorithm.

8. The system according to claim 7, characterized in that The positioning module comprises: A terrain data acquisition unit, used to acquire terrain data of a user's residential area, wherein the terrain data includes at least one of the following: roads, rivers, and mountains; A path planning unit, used to calculate a path for rescuers to reach the user's location using a path planning algorithm based on the terrain data and the user's location information; The offline map loading unit is used to generate offline map data according to the path and pre-download and store the offline map data of the area where the user is located when the device is connected to the network.

9. The system according to claim 1, characterized in that The three-level response network includes: A first-level response mechanism, for sending the health status to the user's relatives and / or neighborhood volunteers after receiving the health status at level one; A secondary response mechanism, for sending the health status to the village clinic and / or township health center when the primary response mechanism fails to process in time or receives the health status at level 2; The third-level response mechanism is used to send the health condition to the county hospital when the first-level response mechanism and the second-level response mechanism fail to handle in time or the level of the health condition received is the third level.

10. A rescue and management method based on artificial intelligence, characterized in that: The method comprises: The intelligent terminal receives voice information and fingerprint information of the user, and extracts features from the voice information and fingerprint information to obtain feature information; obtaining a health status according to the characteristic information; A three-level response network is established and the health status is received, the level of the health status is analyzed, and a response is initiated based on the three-level response network and the level of the health status.

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