Auxiliary diagnosis method and system for intelligent first-aid kit

Abstract

The invention provides an auxiliary diagnosis method and system for an intelligent first-aid kit. An intelligent environment perception and material selection system is deployed in the portable multifunctional first-aid kit, and a material and tool combination scheme most suitable for a current first-aid scene is determined; utilizing the material and tool combination scheme to configure an integrated voice guidance module, introducing a situation adaptability algorithm, and generating a personalized step-by-step operation guide and instant response information; based on the personalized step-by-step operation guide and the instant response information, performing evaluation processing on the vital sign data by applying an intelligent priority scheduling algorithm, and generating a remote guidance service; and starting a position tracking and emergency response cooperation mechanism, and notifying a medical assistance support site closest to the position of the first-aid kit based on the emergency response network according to the key vital sign data and the corresponding first-aid progress report. According to the technical scheme provided by the invention, the first-aid efficiency and credibility are remarkably improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of auxiliary diagnosis of portable multifunctional first aid kits, and more particularly to an auxiliary diagnosis method and system for an intelligent first aid kit. Background Art

[0002] In emergency medical rescue scenarios, such as traffic accidents, natural disasters and other emergencies, portable multi-functional first aid kits are an important tool for on-site first aid. In these situations, time is life, and it is crucial to quickly and accurately select and use the appropriate first aid supplies and tools. In addition, non-professionals often need clear and unambiguous guidance to implement effective initial rescue measures, and telemedicine support is also very important to ensure that the injured can receive timely and professional treatment.

[0003] Most first aid kits on the market are fixed configurations, lack intelligent elements, and cannot automatically adjust the combination of supplies according to specific first aid situations. Although some advanced first aid kits have introduced basic vital signs monitoring functions, they have failed to fully combine environmental factors for comprehensive analysis, the guidance information provided is not personalized enough, and they do not have efficient telemedicine connection capabilities. In addition, although some systems can record data during the first aid process, they lack an intelligent priority scheduling mechanism when transmitting key information, which may cause important data to be delayed or lost.

[0004] The existing emergency solutions have the following main shortcomings: First, the selection of emergency supplies lacks flexibility and specificity, and cannot be automatically optimized according to the real-time environment and changes in vital signs; second, the operating instructions provided are not intuitive and personalized enough to meet the needs of non-professionals; third, in the process of telemedicine support, there is no effective way to ensure that the most critical vital signs data are transmitted first, which affects the accuracy and timeliness of remote diagnosis. Summary of the invention

[0005] The embodiments of the present application provide an auxiliary diagnosis method and system for an intelligent first aid kit, which are used to solve the problems of inflexible material selection and non-personalized guidance information in the prior art.

[0006] In a first aspect, an embodiment of the present application provides an auxiliary diagnosis method of a smart first aid kit, comprising:

[0007] By deploying an intelligent environment perception and material selection system in a portable multifunctional first aid kit, the intelligent environment perception and material selection system collects and processes the environmental parameters of the accident scene and the vital signs of the victim in real time, and performs a comprehensive analysis in combination with a pre-stored medical knowledge base to determine the most suitable combination of materials and tools for the current first aid scenario;

[0008] Using the combination of materials and tools, the integrated voice guidance module is configured, and a context-adaptive algorithm is introduced to parse and process the user's voice instructions or questions to generate personalized step-by-step operation guides and instant response information;

[0009] Based on the personalized step-by-step operation guide and instant response information, a remote medical support connection is realized by means of a wireless communication device, an intelligent priority scheduling algorithm is applied to evaluate and process the vital sign data, key vital sign data and corresponding emergency progress reports are obtained, and video streaming compression technology is used to ensure the quality of video calls, thereby generating a remote guidance service;

[0010] Initiate the location tracking and emergency response coordination mechanism, trigger the surrounding rapid response services based on the key vital signs data and the corresponding first aid progress report, create an emergency response network, determine the location of the first aid kit through the GPS and Beidou dual-mode positioning system, and notify the medical assistance support site closest to the first aid kit based on the emergency response network.

[0011] Optionally, the material and tool combination solution is used to configure an integrated voice guidance module, introduce a context-adaptive algorithm, parse and process the user's voice instructions or questions, and generate a personalized step-by-step operation guide and instant response information, including:

[0012] Using the combination of materials and tools, the integrated voice guidance module is personalized configured, and the voice guidance content is adjusted according to the selection and use of the first aid materials to obtain the voice guidance settings;

[0013] According to the voice guidance setting, a situational adaptability algorithm is introduced, wherein the situational adaptability algorithm generates an initial situational model by comprehensively analyzing environmental parameters of the accident scene and vital sign data of the victim;

[0014] Based on the initial scenario model, when the user asks a question or requests guidance by voice, natural language processing technology is applied to parse the user's voice instructions or questions to generate a user intention understanding result;

[0015] Using the user intent understanding result, searching the pre-stored emergency operation process library for the operation steps that best match the current scenario, and dynamically adjusting the operation steps according to the actual situation to generate a personalized step-by-step operation guide;

[0016] According to the personalized step-by-step operation guide, the instant response information is customized to provide the user with clear and specific instructions for the next action and solutions to possible problems to generate the instant response information.

[0017] Optionally, according to the voice guidance setting, a situational adaptability algorithm is introduced, and the situational adaptability algorithm generates an initial situation model by comprehensively analyzing the environmental parameters of the accident scene and the vital signs data of the victim, including:

[0018] According to the voice guidance setting, the environmental parameters of the accident scene and the vital signs data of the victim are initialized to ensure the data is accurate and obtain the initial first aid information set;

[0019] Using the initial first aid information set, a situational adaptability algorithm is introduced. The situational adaptability algorithm performs deep learning and pattern recognition on various data in the initial first aid information set by integrating multi-source data analysis technology, considers the mutual influence between various data, and obtains an environment and vital sign association model;

[0020] Based on the environment and vital signs association model, an anomaly detection algorithm is applied to scan various data in the initial emergency information set, to identify abnormal data points that affect the emergency effect, and to mark and classify the abnormal data points to obtain an anomaly detection report;

[0021] According to the abnormal detection report, the environmental parameters and vital signs data in the initial emergency information set are screened to remove abnormal interference data, and scenario construction processing is performed in combination with the selection and use requirements of emergency supplies to generate an initial scenario model.

[0022] Optionally, based on the initial scenario model, when the user asks a question or requests guidance by voice, natural language processing technology is applied to parse the user's voice instructions or questions to generate a user intention understanding result, including:

[0023] Based on the initial scenario model, when the user asks a question or requests guidance by voice, the user's voice input is received in real time to obtain the original voice instruction;

[0024] Using natural semantic processing technology to efficiently and accurately transcribe the voice content in the original voice command, convert the voice data into text format, and obtain a textual user query;

[0025] According to the textual user query, combined with the context understanding module, the current emergency situation and the previous interaction history are considered, and the content in the textual user query is subjected to in-depth semantic analysis and processing to obtain a semantic parsing result;

[0026] Based on the semantic analysis results, an intention recognition algorithm is called to determine the user's real needs and generate a user intention understanding result. The intention recognition algorithm can extract key information from the semantic analysis results.

[0027] Optionally, based on the personalized step-by-step operation guide and instant response information, a remote medical support connection is realized by means of a wireless communication device, an intelligent priority scheduling algorithm is applied to evaluate and process the vital sign data, key vital sign data and a corresponding emergency progress report are obtained, and video streaming compression technology is used to ensure the quality of video calls, and a remote guidance service is generated, including:

[0028] Based on the personalized step-by-step operation guide and immediate response information, the progress of the first aid process and the changes in the victim's vital signs data will be continuously monitored in real time to obtain a first aid status data stream containing detailed timestamps;

[0029] By using the emergency status data stream, the device will automatically search for and connect to the nearest medical institution or professional medical personnel through a built-in wireless communication device, ensuring the establishment of a reliable and low-latency telemedicine connection channel;

[0030] According to the telemedicine connection channel, an intelligent priority scheduling algorithm is applied to analyze various indicators in the emergency status data stream, and the importance and urgency of the vital signs data are evaluated and processed to obtain key vital signs data and emergency progress report;

[0031] Based on the key vital signs data and first aid progress report, advanced video streaming compression technology is used to generate remote guidance services.

[0032] Optionally, the remote medical connection channel is used to apply an intelligent priority scheduling algorithm to analyze various indicators in the emergency status data stream, and to perform importance and urgency evaluation processing on the vital signs data to obtain key vital signs data and key vital signs data of the emergency progress report, including:

[0033] According to the telemedicine connection channel, an intelligent priority scheduling algorithm is introduced to obtain a preliminary priority evaluation result by evaluating the importance and urgency of various indicators in the emergency status data stream in the current emergency situation;

[0034] Based on the preliminary priority assessment results, key vital sign data are determined from various indicators in the emergency status data stream, where the key vital sign data refers to vital sign data that is directly related to patient safety or emergency decision-making;

[0035] According to the key data list, the transmission requirements of the key vital signs data are evaluated in detail, the network status and transmission delay are considered, the transmission strategy is adjusted and optimized, and a first aid progress report is obtained.

[0036] Optionally, according to the telemedicine connection channel, an intelligent priority scheduling algorithm is introduced to obtain a preliminary priority evaluation result by evaluating the importance and urgency of various indicators in the emergency status data stream in the current emergency situation, including:

[0037] According to the data type and attribute, the indicators in the emergency status data stream are divided into three categories: vital signs, environmental parameters and operation feedback, and the classified data subsets are obtained.

[0038] According to the classified data subsets, an intelligent priority scheduling algorithm is introduced to quantitatively analyze and process the importance and urgency of the data in each classified data subset, and a quantitative evaluation score is assigned to each data item, wherein the quantitative evaluation score reflects the relative importance of the data in the current emergency situation and the urgency of the data to be processed;

[0039] Based on the quantitative evaluation scores, the data in the classified data subsets are subjected to preliminary priority sorting, and the most critical data for the current emergency decision is determined according to the scores to obtain a preliminary priority evaluation result.

[0040] In a second aspect, an embodiment of the present application provides an auxiliary diagnosis system of a smart first aid kit, which is used to perform the above method, including:

[0041] A portable multifunctional first aid kit, used to deploy intelligent environmental perception and material selection systems, data processing units, strategy evaluation and optimization units, wireless video communication devices, and emergency information generation and dissemination devices, as well as to store first aid materials and tools;

[0042] Intelligent environmental perception and material selection system, deployed in a portable multi-functional first aid kit, is used to collect and process environmental parameters at the accident scene and the victim's vital signs in real time;

[0043] The data processing unit conducts comprehensive analysis based on the collected data combined with the pre-stored medical knowledge base, determines the most suitable combination of materials and tools for the current emergency scenario, configures the integrated voice guidance module, introduces a situational adaptive algorithm, parses and processes the user's voice instructions or questions, and generates personalized step-by-step operation guides and instant response information;

[0044] A strategy evaluation and optimization unit, based on the personalized step-by-step operation guide and instant response information, realizes remote medical support connection with the help of a wireless communication device, applies an intelligent priority scheduling algorithm to evaluate and process the vital sign data, obtains key vital sign data and a corresponding emergency progress report, and uses video streaming compression technology to ensure the quality of video calls, thereby generating remote guidance services;

[0045] Wireless video communication device for video connection remote medical support and remote guidance services;

[0046] The rescue information generation and dissemination device is used to start the location tracking and emergency response coordination mechanism, trigger the surrounding rapid response services according to the key vital signs data and the corresponding first aid progress report, create an emergency response network, determine the location of the first aid kit through the GPS and Beidou dual-mode positioning system, and notify the medical assistance support site closest to the first aid kit based on the emergency response network.

[0047] In the embodiment of the present application, an intelligent environment perception and material selection system is deployed in a portable multifunctional first aid kit, so that the environmental parameters of the accident scene and the vital signs data of the victim are collected and processed in real time through the intelligent environment perception and material selection system, and a comprehensive analysis is performed in combination with a pre-stored medical knowledge base to determine the most suitable material and tool combination scheme for the current first aid scenario; the integrated voice guidance module is configured using the material and tool combination scheme, and a context adaptability algorithm is introduced to parse and process the user's voice instructions or questions to generate a personalized step-by-step operation guide and instant response information; based on the personalized step-by-step operation guide and instant response information, a remote medical support connection is realized with the help of a wireless communication device, an intelligent priority scheduling algorithm is applied to evaluate and process the vital signs data, key vital signs data and corresponding first aid progress reports are obtained, and video streaming compression technology is used to ensure the quality of video calls, and a remote guidance service is generated; the location tracking and emergency response coordination mechanism is started, and the surrounding rapid response service is triggered according to the key vital signs data and the corresponding first aid progress report, an emergency response network is created, the location of the first aid kit is determined by the GPS and Beidou dual-mode positioning system, and the medical assistance support site closest to the location of the first aid kit is notified based on the emergency response network.

[0048] The technical solution of this application has the following beneficial effects:

[0049] Through the intelligent environment perception and material selection system, the method can collect and process the environmental parameters of the accident site and the vital signs data of the victim in real time, and conduct a comprehensive analysis in combination with the pre-stored medical knowledge base to automatically determine the most suitable material and tool combination scheme for the current emergency scene. This not only improves the selection efficiency of emergency materials, but also ensures the pertinence and effectiveness of the use of materials, and reduces unnecessary waste of resources; the integrated voice guidance module is configured by using the material and tool combination scheme, and the situational adaptability algorithm is introduced to provide users with personalized step-by-step operation guides and instant response information. This personalized guidance method greatly reduces the difficulty for non-professionals to implement correct first aid measures in emergency situations and improves the success rate of first aid; based on the personalized step-by-step operation guide and instant response information, remote medical support connection is realized with the help of wireless communication devices, and the importance and urgency of vital signs data are evaluated by applying an intelligent priority scheduling algorithm to obtain key vital signs data and corresponding first aid progress reports. This helps medical experts quickly understand the situation on the scene and provide accurate guidance, while also ensuring the quality of video calls, making remote diagnosis more reliable and effective; the location tracking and emergency response coordination mechanism is started, and the surrounding rapid response services are triggered according to key vital signs data and first aid progress reports to create an efficient emergency response network. The location of the first aid kit is accurately located through the GPS and Beidou dual-mode positioning system, and the nearest medical assistance support site is notified, which shortens the rescue time and improves the overall first aid efficiency. The present invention not only covers the innovation of hardware (portable multi-functional first aid kit) and software (intelligent algorithm, voice guidance module, etc.), but also involves the application of computing devices and computer storage media, forming a complete solution system, which ensures the effectiveness and timeliness of the first aid process from multiple angles.

[0050] Furthermore, by using the material and tool combination scheme to personalize the integrated voice guidance module and introducing a situational adaptability algorithm, the present invention can analyze the user's voice instructions or questions in real time and generate personalized step-by-step operation guides and instant response information. This design not only ensures the accuracy and pertinence of first aid guidance, but also greatly reduces the difficulty for non-professionals to correctly implement first aid measures in emergency situations, thereby improving first aid efficiency and success rate, and making up for the lack of intuitive and personalized guidance information in existing solutions.

[0051] Furthermore, by using a wireless communication device to achieve remote medical support connection based on the personalized step-by-step operation guide and instant response information, and applying an intelligent priority scheduling algorithm to evaluate and process vital sign data, the present invention can accurately identify and prioritize the transmission of key vital sign data and emergency progress reports. At the same time, the use of video streaming compression technology ensures the quality of video calls and generates stable remote diagnosis and guidance services. This process significantly improves the efficiency and reliability of remote medical support, ensures that medical experts can obtain the most important information in a timely manner, and makes up for the defects of the existing solutions in the lack of priority management of key data transmission, which affects the accuracy and timeliness of remote diagnosis.

[0052] These and other aspects of the present application will become more clearly understood in the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0054] Figure 1 A flowchart of an auxiliary diagnosis method of a smart first aid kit provided in an embodiment of the present application;

[0055] Figure 2 A schematic diagram of the structure of an auxiliary diagnosis system of an intelligent first aid kit provided in an embodiment of the present application;

[0056] Figure 3 A schematic diagram of the structure of a computing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0058] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0059] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0060] Figure 1 A flowchart of an auxiliary diagnosis method of a smart first aid kit is provided for an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0061] 101. By deploying an intelligent environment perception and material selection system in a portable multifunctional first aid kit, the intelligent environment perception and material selection system collects and processes the environmental parameters of the accident scene and the vital signs of the victim in real time, and performs a comprehensive analysis in combination with a pre-stored medical knowledge base to determine the most suitable combination of materials and tools for the current first aid scenario;

[0062] In this step, the intelligent environmental perception and material selection system includes a series of sensors and data analysis tools to collect real-time environmental parameters (such as temperature, humidity, light intensity, etc.) and vital signs data of victims (such as heart rate, blood oxygen saturation, etc.) at the accident site. These data are combined with the pre-stored medical knowledge base for comprehensive analysis to determine the most suitable combination of materials and tools for the current emergency scenario. The medical knowledge base contains different types of emergency scenarios and corresponding optimal material configuration recommendations.

[0063] In the embodiment of the present application, by deploying an intelligent environmental perception and material selection system in a portable multi-functional first aid kit, the system can analyze and process the data collected in real time, and use the built-in algorithm model to match the most appropriate combination of first aid materials, ensuring that every possible first aid situation can be best responded to.

[0064] Suppose a traffic accident occurs, and the first aid personnel arrive at the scene with a portable multifunctional first aid kit. The intelligent environment perception and material selection system in the first aid kit is quickly activated, automatically collecting environmental parameters at the accident scene and the vital signs of the injured, and comparing and analyzing this information with the pre-stored medical knowledge base, and finally providing the first aid personnel with the optimal material combination plan including bandages, hemostatic forceps, oxygen bags, etc., to help them quickly prepare the necessary first aid supplies.

[0065] 102. Using the combination of materials and tools, configure the integrated voice guidance module, introduce a context-adaptive algorithm, parse and process the user's voice instructions or questions, and generate personalized step-by-step operation guides and instant response information;

[0066] In this step, the integrated voice guidance module is personalized based on the combination of supplies and tools to provide operation guidance that meets specific emergency situations. The situational adaptability algorithm generates personalized step-by-step operation guidance and instant response information by parsing the voice instructions or questions raised by the user, so that non-professionals can also get clear and unambiguous guidance.

[0067] In the embodiment of the present application, after determining the combination of materials and tools suitable for the current emergency scenario, the system will adjust the content of the integrated voice guidance module accordingly to ensure that the guidance information provided is accurate and easy to understand. At the same time, the introduced situational adaptability algorithm can dynamically respond to the user's questions, provide immediate help and instructions, and improve the ability of non-professionals to implement first aid measures.

[0068] Assuming that the first responder opens the first aid kit, the system immediately activates the integrated voice guidance module and starts playing the specific operation guide for this accident based on the previously determined material combination configuration. When the first responder asks "How to use the tourniquet?", the system recognizes the question through natural language processing technology and gives detailed step-by-step instructions to guide the first responder to correctly apply the tourniquet and ensure the accuracy of the operation.

[0069] 103. Based on the personalized step-by-step operation guide and instant response information, a remote medical support connection is realized by means of a wireless communication device, an intelligent priority scheduling algorithm is applied to evaluate and process the vital sign data, key vital sign data and corresponding emergency progress reports are obtained, and video streaming compression technology is used to ensure the quality of video calls, thereby generating a remote guidance service;

[0070] In this step, remote medical support connection refers to the establishment of a stable communication link between the emergency site and the medical institution with the help of wireless communication devices. Intelligent priority scheduling algorithms are used to evaluate the importance and urgency of vital sign data to ensure that the most critical information is transmitted first. Video streaming compression technology ensures that clear and stable video call quality can be maintained even under poor network conditions, thereby generating reliable remote guidance services.

[0071] In the embodiment of the present application, based on the personalized step-by-step operation guide and instant response information, the system realizes the remote medical support connection with the nearest medical institution through a wireless communication device. On this basis, the intelligent priority scheduling algorithm is applied to evaluate the importance and urgency of vital sign data to ensure the priority transmission of key data, and the video streaming compression technology is used to optimize the quality of video calls, providing intuitive on-site views and support for remote medical experts.

[0072] Assume that during the emergency treatment, the first responders need remote medical support. The system automatically establishes a connection with the nearest hospital and uses an intelligent priority scheduling algorithm to filter and prioritize the transmission of key information such as heart monitoring data. At the same time, through efficient video streaming compression technology, it ensures that even in low-bandwidth network environments in remote areas, medical experts can see high-definition videos and provide precise guidance in a timely manner.

[0073] 104. Initiate a location tracking and emergency response coordination mechanism, trigger surrounding rapid response services based on the key vital signs data and the corresponding first aid progress report, create an emergency response network, determine the location of the first aid kit through the GPS and Beidou dual-mode positioning system, and notify the medical assistance support site closest to the location of the first aid kit based on the emergency response network.

[0074] In this step, the location tracking and emergency response coordination mechanism involves accurately locating the location of the first aid kit through the GPS and Beidou dual-mode positioning system, and creating an emergency response network. The network is used to trigger surrounding available resources (such as drone drug supply, ambulance dispatch, etc.), and notify the medical assistance support site closest to the first aid kit through the emergency response network to ensure the effective implementation of rapid response services.

[0075] In the embodiment of the present application, once the first aid kit is opened, the system activates the location tracking function and determines the exact location of the first aid kit through the GPS and Beidou dual-mode positioning system. Then, the system triggers the emergency response coordination mechanism and integrates the surrounding available resources, such as mobilizing the nearest ambulance or dispatching drones to deliver urgently needed medicines, to ensure that the injured can receive a higher level of treatment in the shortest time.

[0076] Suppose a natural disaster occurs in a mountainous area and a hiker is injured. When the portable multi-functional first aid kit is opened, the system immediately determines the location through GPS and Beidou dual-mode positioning system and activates the emergency response coordination mechanism. The system quickly notifies nearby rescue teams and arranges drones to deliver additional first aid supplies to ensure that the injured can receive professional medical assistance within the golden time.

[0077] In summary, steps 101 to 104 cover the complete first aid process from intelligent environmental perception, personalized voice guidance, remote medical support to rapid emergency response, aiming to provide a comprehensive, efficient and intelligent first aid solution to meet the needs of non-professionals to quickly and accurately implement first aid measures in emergency situations, while ensuring that medical experts can obtain key information in a timely manner to improve the overall first aid efficiency and success rate.

[0078] In order to solve the problem of insufficient personalized first aid guidance, in some embodiments, the integrated voice guidance module is configured using the combination of materials and tools described in step 102, and a situational adaptability algorithm is introduced to parse and process the user's voice instructions or questions to generate personalized step-by-step operation guides and instant response information, including:

[0079] The integrated voice guidance module is personalized configured by using the material and tool combination solution, and the voice guidance content is adjusted according to the selection and use of the first aid materials to obtain the voice guidance setting; according to the voice guidance setting, a situational adaptability algorithm is introduced, and the situational adaptability algorithm generates an initial situation model by comprehensively analyzing the environmental parameters of the accident scene and the vital signs data of the victim; based on the initial situation model, when the user asks a question or requests guidance by voice, the natural language processing technology is used to parse the user's voice instructions or questions to generate a user intention understanding result; using the user intention understanding result, the operation steps that best match the current scenario are searched in the pre-stored first aid operation process library, and the operation steps are dynamically adjusted according to the actual situation to generate a personalized step-by-step operation guide; according to the personalized step-by-step operation guide, the instant response information is customized to provide the user with clear and specific instructions for the next action, and provide solutions to possible problems to generate instant response information.

[0080] In this embodiment, the integrated voice guidance module includes voice recognition and synthesis components for receiving and responding to the user's voice commands; the context-adaptive algorithm is an intelligent system that can adjust the guidance content according to real-time environmental and vital sign changes. These components work together to ensure that the guidance information provided is both accurate and targeted.

[0081] In the embodiment of the present application, first, the system personalizes the integrated voice guidance module according to the selection and use of first aid materials, and generates voice guidance settings suitable for the current scenario; secondly, by introducing a situational adaptability algorithm, the system comprehensively analyzes the environmental parameters of the accident scene and the vital signs data of the victim, and constructs an initial scenario model; thirdly, when the user asks questions or requests guidance by voice, the system uses natural language processing technology to parse the user's voice instructions or questions and generates a user intent understanding result; finally, based on the user intent understanding result, the system searches the pre-stored first aid operation process library for the operation steps that best suit the current scenario, and dynamically adjusts according to the actual situation to generate a personalized step-by-step operation guide and instant response information.

[0082] Here is a specific example: suppose a climber is injured in a remote mountain area, and rescuers arrive at the scene with a portable multi-functional first aid kit. After the rescuers open the first aid kit, the system automatically adjusts the content of the integrated voice guidance module based on the environmental parameters (such as low temperature and high altitude) and the vital signs data of the injured (such as low blood oxygen saturation) collected by the built-in sensors, and generates voice guidance settings suitable for this accident. Subsequently, the system starts the situational adaptability algorithm and generates an initial scenario model based on the environmental parameters and vital signs data. Next, when the rescuers ask "How to deal with fractures?", the system quickly analyzes the question through natural language processing technology and generates a user intent understanding result. Finally, based on the user intent understanding result, the system finds the most appropriate fracture treatment method in the pre-stored first aid operation process library, and dynamically adjusts the operation steps according to the specific situation on the scene, providing rescuers with detailed step-by-step operation guides and instant response information to help them correctly fix the fracture site of the injured and solve other problems that may arise.

[0083] In order to solve the problem of inaccurate generation of the initial scenario model, in some embodiments, according to the voice guidance setting, a scenario adaptability algorithm is introduced, and the scenario adaptability algorithm generates an initial scenario model by comprehensively analyzing the environmental parameters of the accident scene and the vital signs data of the victim, including:

[0084] According to the voice guidance setting, the environmental parameters of the accident scene and the vital signs data of the victim are initialized and processed to ensure that the data is accurate, and an initial first aid information set is obtained. The initial first aid information set is used to introduce a situational adaptability algorithm, which integrates multi-source data analysis technology, performs deep learning and pattern recognition on various data in the initial first aid information set, considers the mutual influence between various data, and obtains an environment and vital signs association model;

[0085] Based on the environment and vital signs association model, an anomaly detection algorithm is applied to scan the data in the initial first aid information set, identify abnormal data points that affect the first aid effect, and mark and classify the abnormal data points to obtain an anomaly detection report; according to the anomaly detection report, the environmental parameters and vital signs data in the initial first aid information set are screened to remove abnormal interference data, and combined with the selection and use requirements of first aid materials, scenario construction processing is performed to generate an initial scenario model.

[0086] In this embodiment, the initial first aid information set includes environmental parameters of the accident site (such as temperature, humidity, and light intensity) and the victim's vital signs data (such as heart rate and blood oxygen saturation) to ensure that subsequent analysis is based on the most accurate data; the environment and vital signs association model is established by integrating multi-source data analysis technology, aiming to reveal the complex relationship between different factors; the anomaly detection report is used to identify and classify any abnormal data points that may affect the first aid effect, and the initial scenario model is a scenario description constructed after removing abnormal interference and combining the selection and use requirements of first aid materials.

[0087] In the embodiment of the present application, first, the system initializes the environmental parameters of the accident scene and the vital signs data of the victim to ensure that all data are accurate and obtain an initial first aid information set; secondly, the system introduces a situational adaptability algorithm, and through the integration of multi-source data analysis technology, performs deep learning and pattern recognition on the various data in the initial first aid information set, considers the mutual influence between the various data, and generates an environment and vital signs association model; thirdly, based on the environment and vital signs association model, the system applies an anomaly detection algorithm to scan the various data in the initial first aid information set, identifies and marks abnormal data points that affect the first aid effect, and forms an anomaly detection report; finally, according to the anomaly detection report, the system screens the environmental parameters and vital signs data in the initial first aid information set, removes abnormal interference data, and combines the selection and use requirements of first aid materials to perform scenario construction processing to generate an initial scenario model.

[0088] Here is a specific example:

[0089] Assume that an emergency occurs during an outdoor adventure, and rescuers arrive at the scene with a portable multifunctional first aid kit. After the rescuers open the first aid kit, the system immediately initializes the environmental parameters (such as low temperature and high humidity) of the accident site and the vital signs data (such as low blood oxygen saturation and rapid heart rate) of the injured to ensure that all data are accurate and obtain the initial first aid information set. Subsequently, the system starts the situational adaptability algorithm, and performs deep learning and pattern recognition on the various data in the initial first aid information set by integrating multi-source data analysis technology, and generates an environment-vital sign association model by considering the mutual influence between environmental parameters and vital signs data. Next, the system applies an anomaly detection algorithm to scan the various data in the initial first aid information set, identifies abnormal data points, such as extremely low body temperature readings, and marks and classifies them to generate an anomaly detection report. Finally, based on the anomaly detection report, the system screens the environmental parameters and vital signs data in the initial first aid information set, removes abnormal interference data, and combines the selection and use requirements of first aid materials to perform scenario construction processing to generate an initial scenario model to provide accurate first aid guidance for rescuers.

[0090] In order to solve the problem of inaccurate understanding of user intent, in some embodiments, based on the initial scenario model, when the user asks a question or requests guidance by voice, natural language processing technology is applied to parse the user's voice instructions or questions to generate a user intent understanding result, including:

[0091] Based on the initial scenario model, when the user asks a question or requests guidance by voice, the user's voice input will be received in real time to obtain the original voice instruction; the voice content in the original voice instruction is efficiently and accurately transcribed using natural semantic processing technology, and the voice data is converted into a text format to obtain a textual user query; based on the textual user query, combined with the context understanding module, the content in the textual user query is deeply semantically analyzed and processed, taking into account the current emergency situation and previous interaction history, to obtain a semantic parsing result; based on the semantic parsing result, the intention recognition algorithm is called to determine the user's real needs and generate a user intention understanding result, and the intention recognition algorithm can extract key information based on the semantic parsing result.

[0092] In this embodiment, the original voice command includes any question or request raised by the user through voice, which is used to initiate the system's response mechanism; the textual user query refers to the text form after voice transcription, which is convenient for subsequent semantic analysis; the semantic parsing result is a deep understanding of the textual query, revealing the true meaning behind the user's question; the user intent understanding result is the final determination of the user's real needs, ensuring that the guidance information provided by the system is accurate and correct.

[0093] In the embodiment of the present application, firstly, the system receives the user's voice input in real time based on the initial scenario model to obtain the original voice command; secondly, the system uses natural semantic processing technology to efficiently and accurately convert the original voice command into a text format to form a textual user query; thirdly, in combination with the context understanding module, the system performs an in-depth semantic analysis of the textual user query, taking into account the current emergency situation and previous interaction history, to obtain a semantic parsing result; finally, based on the semantic parsing result, the system calls the intent recognition algorithm to analyze and determine the user's real needs from multiple angles, and generate a user intent understanding result.

[0094] The following is a specific example: suppose a traffic accident occurs on a busy city street, and rescuers arrive at the scene with a portable multi-functional first aid kit; after the rescuers open the first aid kit, the system is ready according to the initial scenario model constructed previously; when the rescuers ask "How to deal with cardiac arrest?", the system receives the user's voice input in real time and obtains the original voice command; then, the system uses natural semantic processing technology to efficiently and accurately convert the original voice command into text format, forming a textual user query "How to deal with cardiac arrest?"; then, the system combines the context understanding module, considers the current first aid situation (such as the accident scene environment, the injured person's heart monitoring data) and the previous interaction history (such as the first aid measures that have been taken), and conducts in-depth semantic analysis of the textual user query to obtain semantic parsing results, confirming that the user needs specific first aid guidance on cardiac arrest; finally, based on the semantic parsing results, the system calls the intent recognition algorithm to analyze and determine the user's real needs from multiple angles, generate user intent understanding results, provide detailed step-by-step operation guides, such as cardiopulmonary resuscitation (CPR) steps, and provide solutions to possible problems.

[0095] In order to solve the problem of untimely transmission of key data in remote medical support, in some embodiments, the remote medical support connection is realized by means of a wireless communication device based on the personalized step-by-step operation guide and the instant response information in step 103, and the vital sign data is evaluated and processed by applying an intelligent priority scheduling algorithm to obtain key vital sign data and a corresponding emergency progress report, and video streaming compression technology is used to ensure the quality of video calls, and a remote guidance service is generated, including:

[0096] Based on the personalized step-by-step operation guide and instant response information, the progress of the first aid process and the changes in the victim's vital signs data will be continuously monitored in real time to obtain an emergency status data stream containing detailed timestamps; using the emergency status data stream, through the built-in wireless communication device, it will automatically search and connect to the nearest medical institution or professional medical personnel to ensure the establishment of a reliable and low-latency telemedicine connection channel; according to the telemedicine connection channel, an intelligent priority scheduling algorithm is applied to analyze the various indicators in the emergency status data stream, and the vital signs data are evaluated and processed in terms of importance and urgency to obtain key vital signs data and first aid progress reports; based on the key vital signs data and first aid progress reports, advanced video streaming media compression technology is used to generate remote guidance services.

[0097] In this embodiment, the emergency status data stream includes detailed vital signs data (such as heart rate, blood pressure) and operation progress information (such as completed operation steps) of the victim during the emergency process, which is used to reflect the situation at the emergency site in real time; the telemedicine connection channel refers to a stable communication link established through a wireless communication device to ensure that emergency information can be quickly conveyed to remote medical experts; the intelligent priority scheduling algorithm is used to evaluate the importance and urgency of vital signs data to ensure that the most critical data is transmitted first; and the video streaming compression technology ensures that clear and stable video call quality can be maintained even under poor network conditions.

[0098] In the embodiment of the present application, first, the system continuously monitors the progress of the first aid process and the changes in the victim's vital signs according to the personalized step-by-step operation guide and instant response information, and collects the first aid status data stream containing detailed timestamps; secondly, using these data streams, the system automatically searches and connects to the nearest medical institution or professional medical personnel through the built-in wireless communication device to ensure the establishment of a reliable telemedicine connection channel; thirdly, the system applies an intelligent priority scheduling algorithm according to the telemedicine connection channel, analyzes various indicators in the first aid status data stream, evaluates the importance and urgency of the vital signs data, and determines the key vital signs data and first aid progress report; finally, based on these key data, the system uses advanced video streaming compression technology to optimize the quality of video calls, generate remote guidance services, and ensure that telemedicine experts can obtain the most needed information.

[0099] Here is a specific example:

[0100] Suppose a climber is injured in a remote mountain area, and rescuers arrive at the scene with a portable multi-functional first aid kit. The rescuers implement first aid measures according to the personalized step-by-step operation guide, while the system continuously monitors the progress of the first aid process and the changes in the vital signs of the injured, and collects the first aid status data stream containing detailed timestamps. Then, the system uses these data streams to automatically search and connect to the nearest medical institution or professional medical personnel through the built-in wireless communication device to ensure that a reliable telemedicine connection channel is established. Then, according to the telemedicine connection channel, the system applies an intelligent priority scheduling algorithm, analyzes various indicators in the first aid status data stream, evaluates the importance and urgency of the vital signs data, and determines the key vital signs data (such as heart monitoring data) and first aid progress reports. Finally, based on these key data, the system uses advanced video streaming compression technology to optimize the quality of video calls and generate remote guidance services to ensure that remote medical experts can see high-definition videos and give precise guidance.

[0101] In order to solve the problem of untimely transmission of key vital sign data in telemedicine support, in some embodiments, according to the telemedicine connection channel, an intelligent priority scheduling algorithm is applied to analyze various indicators in the emergency status data stream, and the importance and urgency of the vital sign data are evaluated and processed to obtain key vital sign data and emergency progress report key vital sign data, including:

[0102] According to the telemedicine connection channel, an intelligent priority scheduling algorithm is introduced, and a preliminary priority evaluation result is obtained by evaluating the importance and urgency of various indicators in the emergency status data stream in the current emergency situation; based on the preliminary priority evaluation result, key vital signs data are determined from various indicators in the emergency status data stream, and key vital signs data refer to vital signs data that are directly related to patient safety or emergency decision-making; according to the key data list, a detailed evaluation is performed on the transmission requirements of the key vital signs data, and the factors of network conditions and transmission delay are considered to adjust and optimize the transmission strategy to obtain an emergency progress report.

[0103] In this embodiment, the preliminary priority assessment result is a score obtained by quantitatively evaluating the importance and urgency of various indicators in the emergency status data stream (such as heart rate, blood pressure, etc.); key vital signs data are data screened out from the preliminary priority assessment results that directly affect patient safety or emergency decision-making; the emergency progress report is generated after optimizing the transmission strategy based on network conditions and transmission delays, and is used to record and display the most important information in the emergency process.

[0104] In the embodiment of the present application, first, the system introduces an intelligent priority scheduling algorithm according to the telemedicine connection channel, evaluates the importance and urgency of various indicators in the emergency status data stream in the current emergency situation, and obtains a preliminary priority evaluation result; secondly, based on the preliminary priority evaluation result, the system screens out key vital signs data from the emergency status data stream, which are directly related to the patient's safety or emergency decision; thirdly, the system evaluates the transmission requirements of key vital signs data in detail according to the key data list, considers the current network status and possible transmission delays, and adjusts and optimizes the transmission strategy; finally, the system generates an emergency progress report to ensure that the most critical information can be conveyed to the telemedicine expert in a timely manner.

[0105] The following is a specific example: suppose a traffic accident occurs on a busy city street, and rescuers arrive at the scene with a portable multi-functional first aid kit; after the rescuers open the first aid kit, the system has established a reliable telemedicine connection channel; first, the system introduces an intelligent priority scheduling algorithm to evaluate the importance and urgency of various indicators in the emergency status data stream (such as the heart rate and blood oxygen saturation of the injured) in the current emergency situation, and obtains preliminary priority assessment results; second, based on the preliminary priority assessment results, the system filters out key vital signs data from the emergency status data stream, such as rapidly changing heart rate and extremely low blood oxygen saturation, which are directly related to the patient's immediate safety or emergency decision; third, the system evaluates its transmission requirements in detail based on these key data lists, and considering the poor network conditions on site and the risk of transmission delays, the system adjusts and optimizes the transmission strategy to ensure the priority transmission of the most important data; finally, the system generates a first aid progress report, which records and displays key information during the first aid process, ensuring that telemedicine experts can obtain the most needed data in a timely manner and provide precise guidance.

[0106] In order to solve the problem of inaccurate priority evaluation of various indicators in the emergency status data stream, in some embodiments, in step 104, an intelligent priority scheduling algorithm is introduced according to the telemedicine connection channel, and a preliminary priority evaluation result is obtained by evaluating the importance and urgency of various indicators in the emergency status data stream in the current emergency situation, including:

[0107] According to the data type and attribute, the various indicators in the emergency status data stream are divided into three categories: vital signs, environmental parameters and operation feedback, and the classified data subsets are obtained. According to the classified data subsets, an intelligent priority scheduling algorithm is introduced to perform quantitative analysis and processing on the importance and urgency of the data in each classified data subset, and a quantitative evaluation score is assigned to each data. The quantitative evaluation score reflects the relative importance of the data in the current emergency situation and the urgency to be processed; based on the quantitative evaluation score, the data in the classified data subsets are preliminarily prioritized, and the most critical data for the current emergency decision is determined according to the score, and a preliminary priority evaluation result is obtained.

[0108] In this embodiment, the classified data subsets include three different types of data: vital signs (such as heart rate, blood oxygen saturation), environmental parameters (such as temperature, humidity) and operation feedback (such as completed operation steps). These data are used to comprehensively describe the situation at the emergency scene; the quantitative evaluation score is a score obtained by quantitatively analyzing the importance and urgency of the data in each data subset, reflecting the relative importance of each data in the current emergency situation and the urgency of its processing; the preliminary priority evaluation result is a conclusion drawn after sorting all the data based on the quantitative evaluation score, which is used to determine which data is most critical to the current emergency decision.

[0109] In the embodiment of the present application, first, the system divides the various indicators in the emergency status data stream into three categories, namely, vital signs, environmental parameters, and operation feedback, based on the data type and attribute, to obtain classified data subsets; secondly, the system introduces an intelligent priority scheduling algorithm based on the classified data subsets, performs quantitative analysis and processing on the importance and urgency of the data in each classified data subset, and assigns a quantitative evaluation score to each data; thirdly, based on the quantitative evaluation score, the system performs preliminary priority sorting on the data in the classified data subsets, and determines the most critical data for the current emergency decision according to the score; finally, the system generates a preliminary priority evaluation result to ensure that the most critical information can be processed and transmitted first.

[0110] Here is a specific example:

[0111] Suppose a climber is injured in a remote mountain area, and rescuers arrive at the scene with a portable multifunctional first aid kit. After the rescuers open the first aid kit, the system has established a reliable telemedicine connection channel. First, the system divides the indicators in the emergency status data stream (such as heart rate, ambient temperature, and completed operation steps) into three categories: vital signs, environmental parameters, and operation feedback, based on the data type and attributes, to obtain classified data subsets. Secondly, based on the classified data subsets, the system introduces an intelligent priority scheduling algorithm to quantitatively analyze and process the importance and urgency of the data in each classified data subset, and assigns a quantitative evaluation score to each data item. For example, a rapidly changing heart rate receives a higher score. Thirdly, based on the quantitative evaluation score, the system performs preliminary priority sorting on the data in the classified data subsets, and determines the most critical data for the current emergency decision-making based on the score, such as abnormal heart rate and low blood oxygen saturation. Finally, the system generates a preliminary priority evaluation result to ensure that these most critical data can be processed and transmitted first, so that telemedicine experts can obtain the most important information in a timely manner and provide precise guidance.

[0112] Figure 2 The present invention provides a schematic diagram of the structure of an auxiliary diagnosis system of an intelligent first aid kit, as shown in FIG. Figure 2 As shown, the system includes:

[0113] A portable multifunctional first aid kit 20, used to deploy an intelligent environment perception and material selection system 21, a data processing unit 22, a strategy evaluation and optimization unit 23, a wireless video communication device 24, and a rescue information generation and dissemination device 25, as well as to store first aid materials and tools 26;

[0114] Intelligent environmental perception and material selection system 21, deployed in a portable multifunctional first aid kit, for real-time collection and processing of environmental parameters at the accident site and vital signs of the victim;

[0115] The data processing unit 22 performs a comprehensive analysis based on the collected data combined with the pre-stored medical knowledge base, determines the most suitable combination of materials and tools for the current emergency scenario, configures the integrated voice guidance module, introduces a situational adaptability algorithm, analyzes and processes the user's voice instructions or questions, and generates a personalized step-by-step operation guide and instant response information;

[0116] The strategy evaluation and optimization unit 23, based on the personalized step-by-step operation guide and the instant response information, realizes the remote medical support connection with the help of a wireless communication device, applies an intelligent priority scheduling algorithm to evaluate and process the vital sign data, obtains key vital sign data and a corresponding emergency progress report, and uses video streaming compression technology to ensure the quality of the video call, and generates a remote guidance service;

[0117] A wireless video communication device 24, used for video connection remote medical support and obtaining remote guidance services;

[0118] The rescue information generation and dissemination device 25 is used to start the location tracking and emergency response coordination mechanism, trigger the surrounding rapid response service according to the key vital signs data and the corresponding first aid progress report, create an emergency response network, determine the location of the first aid kit through the GPS and Beidou dual-mode positioning system, and notify the medical assistance support site closest to the first aid kit based on the emergency response network.

[0119] Figure 2 The auxiliary diagnosis system of the intelligent first aid kit can perform Figure 1 The implementation principle and technical effect of the auxiliary diagnosis method of an intelligent first aid kit described in the embodiment are not described in detail. The specific way in which each module and unit performs operations in the auxiliary diagnosis system of an intelligent first aid kit in the above embodiment has been described in detail in the embodiment of the method, and will not be described in detail here.

[0120] In one possible design, Figure 2 The auxiliary diagnosis system of the smart first aid kit of the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32;

[0121] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0122] The processing component 32 is used to: deploy an intelligent environment perception and material selection system in a portable multifunctional first aid kit, so as to collect and process the environmental parameters of the accident scene and the vital signs of the victim in real time through the intelligent environment perception and material selection system, and conduct a comprehensive analysis in combination with a pre-stored medical knowledge base to determine the most suitable combination of materials and tools for the current first aid scenario; configure the integrated voice guidance module using the combination of materials and tools, introduce a situational adaptability algorithm, parse and process the user's voice instructions or questions, and generate a personalized step-by-step operation guide and instant response information; based on the personalized step-by-step operation guide and instant response information, The system receives response information in real time, realizes remote medical support connection with the help of wireless communication devices, evaluates and processes the vital signs data using intelligent priority scheduling algorithms, obtains key vital signs data and corresponding first aid progress reports, uses video streaming compression technology to ensure the quality of video calls, and generates remote guidance services; starts the location tracking and emergency response coordination mechanism, triggers the surrounding rapid response services according to the key vital signs data and the corresponding first aid progress reports, creates an emergency response network, determines the location of the first aid kit through the GPS and Beidou dual-mode positioning system, and notifies the medical assistance support site closest to the location of the first aid kit based on the emergency response network.

[0123] The processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

[0124] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0125] Of course, the computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0126] The input / output interface provides an interface between the processing component and the peripheral interface module, which may be an output device, an input device, etc.

[0127] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0128] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0129] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 An auxiliary diagnosis method for an intelligent first aid kit according to the embodiment shown.

[0130] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0131] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0132] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An auxiliary diagnosis method for an intelligent first aid kit, characterized in that: include: By deploying an intelligent environment perception and material selection system in a portable multifunctional first aid kit, the intelligent environment perception and material selection system collects and processes the environmental parameters of the accident scene and the vital signs of the victim in real time, and performs a comprehensive analysis in combination with a pre-stored medical knowledge base to determine the most suitable combination of materials and tools for the current first aid scenario; Using the combination of materials and tools, the integrated voice guidance module is configured, and a context-adaptive algorithm is introduced to parse and process the user's voice instructions or questions to generate personalized step-by-step operation guides and instant response information; Based on the personalized step-by-step operation guide and instant response information, a remote medical support connection is realized by means of a wireless communication device, an intelligent priority scheduling algorithm is applied to evaluate and process the vital sign data, key vital sign data and corresponding emergency progress reports are obtained, and video streaming compression technology is used to ensure the quality of video calls, thereby generating a remote guidance service; Initiate the location tracking and emergency response coordination mechanism, trigger the surrounding rapid response services based on the key vital signs data and the corresponding first aid progress report, create an emergency response network, determine the location of the first aid kit through the GPS and Beidou dual-mode positioning system, and notify the medical assistance support site closest to the first aid kit based on the emergency response network.

2. The method according to claim 1, characterized in that: The integrated voice guidance module is configured by utilizing the combination of materials and tools, and a situational adaptability algorithm is introduced to parse and process the user's voice instructions or questions to generate personalized step-by-step operation guides and instant response information, including: Using the combination of materials and tools, the integrated voice guidance module is personalized configured, and the voice guidance content is adjusted according to the selection and use of the first aid materials to obtain the voice guidance settings; According to the voice guidance setting, a situational adaptability algorithm is introduced, wherein the situational adaptability algorithm generates an initial situational model by comprehensively analyzing environmental parameters of the accident scene and vital sign data of the victim; Based on the initial scenario model, when the user asks a question or requests guidance by voice, natural language processing technology is applied to parse the user's voice instructions or questions to generate a user intention understanding result; Using the user intent understanding result, searching the pre-stored emergency operation process library for the operation steps that best match the current scenario, and dynamically adjusting the operation steps according to the actual situation to generate a personalized step-by-step operation guide; According to the personalized step-by-step operation guide, the instant response information is customized to provide the user with clear and specific instructions for the next action and solutions to possible problems to generate the instant response information.

3. The method according to claim 2, characterized in that According to the voice guidance setting, a situational adaptability algorithm is introduced, and the situational adaptability algorithm generates an initial situation model by comprehensively analyzing the environmental parameters of the accident scene and the vital signs data of the victim, including: According to the voice guidance setting, the environmental parameters of the accident scene and the vital signs data of the victim are initialized to ensure the data is accurate and obtain the initial first aid information set; Using the initial first aid information set, a situational adaptability algorithm is introduced. The situational adaptability algorithm performs deep learning and pattern recognition on various data in the initial first aid information set by integrating multi-source data analysis technology, considers the mutual influence between various data, and obtains an environment and vital sign association model; Based on the environment and vital signs association model, an anomaly detection algorithm is applied to scan various data in the initial emergency information set, identify abnormal data points that affect the emergency effect, and mark and classify the abnormal data points to obtain an anomaly detection report; According to the abnormal detection report, the environmental parameters and vital signs data in the initial emergency information set are screened to remove abnormal interference data, and scenario construction processing is performed in combination with the selection and use requirements of emergency supplies to generate an initial scenario model.

4. The method according to claim 2, characterized in that: Based on the initial scenario model, when the user asks a question or requests guidance by voice, natural language processing technology is applied to parse the user's voice instructions or questions to generate a user intention understanding result, including: Based on the initial scenario model, when the user asks a question or requests guidance by voice, the user's voice input is received in real time to obtain the original voice instruction; Using natural semantic processing technology to efficiently and accurately transcribe the voice content in the original voice command, convert the voice data into text format, and obtain a textual user query; According to the textual user query, combined with the context understanding module, the current emergency situation and the previous interaction history are considered, and the content in the textual user query is subjected to in-depth semantic analysis and processing to obtain a semantic parsing result; Based on the semantic analysis results, an intention recognition algorithm is called to determine the user's real needs and generate a user intention understanding result. The intention recognition algorithm can extract key information from the semantic analysis results.

5. The method according to claim 1, characterized in that: Based on the personalized step-by-step operation guide and instant response information, a remote medical support connection is realized by means of a wireless communication device, an intelligent priority scheduling algorithm is applied to evaluate and process the vital sign data, key vital sign data and corresponding emergency progress reports are obtained, and video streaming compression technology is used to ensure the quality of video calls, and a remote guidance service is generated, including: Based on the personalized step-by-step operation guide and immediate response information, the progress of the first aid process and the changes in the victim's vital signs data will be continuously monitored in real time to obtain a first aid status data stream containing detailed timestamps; By using the emergency status data stream, the device will automatically search for and connect to the nearest medical institution or professional medical personnel through a built-in wireless communication device, ensuring the establishment of a reliable and low-latency telemedicine connection channel; According to the telemedicine connection channel, an intelligent priority scheduling algorithm is applied to analyze various indicators in the emergency status data stream, and the importance and urgency of the vital signs data are evaluated and processed to obtain key vital signs data and emergency progress report; Based on the key vital signs data and first aid progress report, advanced video streaming compression technology is used to generate remote guidance services.

6. The method according to claim 5, characterized in that According to the telemedicine connection channel, the intelligent priority scheduling algorithm is applied to analyze various indicators in the emergency status data stream, and the importance and urgency evaluation and processing of the vital signs data are performed to obtain key vital signs data and emergency progress report key vital signs data, including: According to the telemedicine connection channel, an intelligent priority scheduling algorithm is introduced to obtain a preliminary priority evaluation result by evaluating the importance and urgency of various indicators in the emergency status data stream in the current emergency situation; Based on the preliminary priority assessment results, key vital sign data is determined from various indicators in the emergency status data stream, where the key vital sign data refers to vital sign data that is directly related to patient safety or emergency decision-making; According to the key data list, the transmission requirements of the key vital signs data are evaluated in detail, the network status and transmission delay are considered, the transmission strategy is adjusted and optimized, and a first aid progress report is obtained.

7. The method according to claim 6, characterized in that According to the telemedicine connection channel, an intelligent priority scheduling algorithm is introduced to obtain a preliminary priority evaluation result by evaluating the importance and urgency of various indicators in the emergency status data stream in the current emergency situation, including: According to the data type and attribute, the indicators in the emergency status data stream are divided into three categories: vital signs, environmental parameters and operation feedback, and the classified data subsets are obtained. According to the classified data subsets, an intelligent priority scheduling algorithm is introduced to quantitatively analyze and process the importance and urgency of the data in each classified data subset, and a quantitative evaluation score is assigned to each data item, wherein the quantitative evaluation score reflects the relative importance of the data in the current emergency situation and the urgency of the data to be processed; Based on the quantitative evaluation scores, the data in the classified data subsets are subjected to preliminary priority sorting, and the most critical data for the current emergency decision is determined according to the scores to obtain a preliminary priority evaluation result.

8. An auxiliary diagnosis system for an intelligent first aid kit, used to execute the method according to any one of claims 1 to 7, characterized in that: include: A portable multifunctional first aid kit, used to deploy intelligent environmental perception and material selection systems, data processing units, strategy evaluation and optimization units, wireless video communication devices, and emergency information generation and dissemination devices, as well as to store first aid materials and tools; Intelligent environmental perception and material selection system, deployed in a portable multi-functional first aid kit, is used to collect and process environmental parameters at the accident scene and the victim's vital signs in real time; The data processing unit conducts comprehensive analysis based on the collected data combined with the pre-stored medical knowledge base, determines the most suitable combination of materials and tools for the current emergency scenario, configures the integrated voice guidance module, introduces a situational adaptive algorithm, parses and processes the user's voice instructions or questions, and generates personalized step-by-step operation guides and instant response information; A strategy evaluation and optimization unit, based on the personalized step-by-step operation guide and instant response information, realizes remote medical support connection with the help of a wireless communication device, applies an intelligent priority scheduling algorithm to evaluate and process the vital sign data, obtains key vital sign data and a corresponding emergency progress report, and uses video streaming compression technology to ensure the quality of video calls, thereby generating remote guidance services; Wireless video communication device for video connection remote medical support and remote guidance services; The rescue information generation and dissemination device is used to start the location tracking and emergency response coordination mechanism, trigger the surrounding rapid response services according to the key vital signs data and the corresponding first aid progress report, create an emergency response network, determine the location of the first aid kit through the GPS and Beidou dual-mode positioning system, and notify the medical assistance support site closest to the first aid kit based on the emergency response network.

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