Remote control method and system for intelligent first-aid kit

Abstract

The invention provides a remote control method and system for an intelligent first-aid kit. The method comprises the following steps: receiving an emergency opening request from authorized mobile equipment, and obtaining the emergency opening request; performing permission verification processing on the user identity verification information by using a multi-factor authentication algorithm to generate an unlocking instruction and path information; performing remote unlocking processing on the recently specified intelligent first-aid kit to obtain state feedback of successful unlocking and unlocking position information; monitoring and automatically detecting the state of medical supplies in the intelligent first-aid kit in real time, synchronizing the specific information to a remote monitoring platform and a mobile device of a help seeker, and generating a supply state report; and the remote monitoring platform obtains a medical guidance suggestion suitable for the current situation, provides an operation guidance suitable for the field environment according to the medical guidance suggestion, and generates an operation guidance scheme. According to the technical scheme provided by the invention, the first-aid response efficiency and accuracy are improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of intelligent first aid technology, and in particular to a remote control method and system for an intelligent first aid box. Background Art

[0002] With the acceleration of modern urbanization, the frequency of emergencies and medical emergencies is increasing. In this context, smart first aid kits, as a rapid response tool, have gradually become an indispensable part of public places, communities and families. Smart first aid kits are widely used in crowded areas such as hospitals, schools, shopping malls, and transportation hubs. These scenarios place extremely high demands on the availability and response speed of emergency resources, especially in emergency situations, where the ability to quickly provide necessary medical supplies and services is crucial to saving lives.

[0003] Currently, most first aid kits still use the traditional manual opening method, that is, unlocking with a physical key or a simple electronic lock. Some more advanced systems have introduced basic authentication mechanisms, such as password entry or card swiping, but these methods have limited security and cannot achieve remote control and real-time monitoring. In addition, some solutions try to use mobile devices to send opening instructions, but the lack of multi-factor authentication and geo-fence verification leads to insufficient security and accuracy. Although some systems already have the function of detecting the status of materials, there is still room for improvement in data processing efficiency and information synchronization.

[0004] However, the security measures of traditional first aid kits are relatively simple and can be easily opened by unauthorized personnel, which may lead to waste or abuse of emergency resources. The existing system's identity authentication and unlocking process is complicated. Especially in emergency situations, the person seeking help may delay the time to obtain emergency supplies due to improper operation. The existing first aid kit management system has obvious deficiencies in material status monitoring, real-time data processing, and remote guidance, making it difficult to provide timely and effective medical support. For example, it has not fully utilized edge computing and image recognition technologies to improve the accuracy and speed of material status detection, nor has it established a complete remote monitoring platform to provide personalized medical guidance suggestions for those seeking help.

[0005] In summary, the current first aid kit control system has many deficiencies in terms of security, response speed and intelligent management level, and a more efficient, safe and intelligent remote control method is urgently needed to meet the growing demand for first aid. The remote control method of the smart first aid kit significantly improves the speed and quality of first aid response by introducing advanced technologies such as multi-factor authentication, geo-fence verification, optimal path planning, real-time monitoring and automatic detection, while ensuring the safe use and effective management of resources. Summary of the invention

[0006] The embodiments of the present application provide a remote control method and system for an intelligent first aid kit, which are used to solve the problems of low first aid response efficiency and accuracy in the prior art.

[0007] In a first aspect, an embodiment of the present application provides a remote control method for a smart first aid kit, comprising:

[0008] Receiving an emergency opening request from an authorized mobile device, the emergency opening request including user identity authentication information and geographic location information, and obtaining an emergency opening request;

[0009] According to the emergency opening request, the user identity authentication information is verified by using a multi-factor authentication algorithm, and the distance between the smart first aid box and the place of help is confirmed to be within a preset range based on the geographic location information, and the optimal path to the nearest designated smart first aid box is calculated, and an unlocking instruction and path information are generated;

[0010] Based on the unlocking instruction and path information, remotely unlock the most recently designated smart first aid box to obtain unlocking success status feedback and unlocking location information;

[0011] The unlocking success status feedback and unlocking location information are used to monitor and automatically detect the status of medical supplies inside the smart first aid box in real time, and local data is quickly processed through edge computing to reduce delays. The image recognition algorithm is used to check the physical status of the supplies, and the specific information is read in combination with the radio frequency identification tag. The specific information is synchronized to the remote monitoring platform and the mobile device of the person seeking help, and a supply status report is generated;

[0012] Based on the material status report and the geographic location information, the remote monitoring platform obtains medical guidance suggestions applicable to the current situation, and provides operation guidelines adapted to the on-site environment and generates an operation guidance plan based on the medical guidance suggestions.

[0013] Optionally, according to the emergency opening request, the user identity authentication information is verified by using a multi-factor authentication algorithm, and the distance between the smart first aid box and the help location is confirmed to be within a preset range based on the geographic location information, and the optimal path to the nearest designated smart first aid box is calculated, and the unlocking instruction and path information are generated, including:

[0014] Utilizing the received emergency opening request, parsing the received emergency opening request to obtain user identity verification information and geographic location information;

[0015] Based on the user identity authentication information, a multi-factor authentication algorithm is used to verify the user's identity, and by comparing the information provided by the user with the corresponding records in the pre-stored security database, it is ensured that all verification factors are matched successfully, and the verified identity information is obtained;

[0016] Based on the geographic location information, a geo-fence verification process is performed on the current location of the help-seeker to determine whether the help-seeker is located within a preset service area, so as to confirm the validity of the response of the smart first aid box and obtain a valid service area verification result;

[0017] Using the verified identity information and the valid service area verification result, query the location of the available smart first aid kits nearby, calculate the straight-line distance between the smart first aid kit and the help-seeking location based on the geographic location information of the help-seeker, select one or more of the closest smart first aid kits as targets, and use a path planning algorithm to calculate the best route from the help-seeking location to the selected smart first aid kit, taking into account factors such as real-time traffic conditions and road closures, to obtain a path plan;

[0018] According to the path plan, an unlocking instruction and path guidance information are generated, wherein the unlocking instruction includes a one-time code for remotely unlocking the smart first aid box, and the path guidance information provides specific navigation instructions to the first aid box.

[0019] Optionally, the user identity is verified using a multi-factor authentication algorithm based on the user identity authentication information, and all verification factors are ensured to match successfully by comparing the information provided by the user with corresponding records in a pre-stored security database to obtain verified identity information, including:

[0020] Using the received identity verification information provided by the user, the received identity verification information is parsed to obtain verification information, where the verification information includes a first factor and a second factor;

[0021] According to the verification information, each verification factor provided by the user is compared with the corresponding record pre-stored in the security database one by one to ensure that each verification factor has a matching item and obtain a preliminary verification result;

[0022] Based on the preliminary verification result, perform specific verification logic processing on each verification factor, perform hash comparison processing on the password or PIN code, and perform pattern matching processing on the biometric data to obtain a detailed verification result;

[0023] Using the detailed verification result, further confirming that the user has the authority to open the smart first aid box in an emergency, the authority has been pre-configured in the system and associated with the user account, and generating an authority confirmation result;

[0024] According to the permission confirmation result, once all verification steps are completed and the result is positive, the user identity is finally verified and processed to obtain the verified identity information.

[0025] Optionally, the verified identity information and the valid service area verification result are used to query the location of available smart first aid boxes nearby, and based on the geographic location information of the help-seeker, the straight-line distance between the smart first aid box and the help-seeking location is calculated, one or more of the closest smart first aid boxes are selected as targets, and a path planning algorithm is used to calculate the best route from the help-seeking location to the selected smart first aid box, taking into account factors such as real-time traffic conditions and road closures, to obtain a path plan, including:

[0026] Using the verified identity information and service area verification results, the request is processed for permission confirmation to ensure that only requests that have passed identity authentication and are located in a valid service area are processed, and requests that have passed permission confirmation are obtained;

[0027] Based on the request confirmed by the authority, the geographical location information of the person seeking help is accurately located and processed, and a list of available smart first aid kits is generated in combination with the geographic information system data;

[0028] According to the list of available smart first aid kits, the straight-line distance between each smart first aid kit and the place where help is sought is calculated, and one or more smart first aid kits closest to the first aid kits are selected as preliminary candidate targets to obtain a preliminary candidate list of smart first aid kits;

[0029] Considering the dynamic factors of real-time traffic conditions and road closures, the targets in the preliminary candidate smart first aid box list are evaluated for accessibility, and the selection criteria of the smart first aid box are adjusted to ensure that the selected target is the closest and has the highest accessibility, thereby obtaining the finally selected smart first aid box;

[0030] Based on the finally selected smart first aid box, a path planning algorithm is used to calculate the best route from the help-seeking location to the selected smart first aid box in combination with the geographical location information of the help-seeker, taking into account factors such as real-time traffic conditions and road closures to obtain the best route;

[0031] Based on the optimal route, the path plan is comprehensively evaluated and processed, and detailed navigation instructions and other relevant information are integrated to finally obtain a path plan.

[0032] Optionally, the unlocking success status feedback and unlocking location information are used to monitor and automatically detect the status of medical supplies inside the smart first aid box in real time, and local data is quickly processed through edge computing to reduce delays. The physical status of the supplies is checked using an image recognition algorithm, and specific information is read in combination with a radio frequency identification tag. The specific information is synchronized to a remote monitoring platform and a mobile device of the person seeking help, and a supply status report is generated, including:

[0033] Using the status feedback and unlocking position information after successful unlocking, real-time monitoring and automatic detection processing are started for the internal medical material status of the nearest designated smart first aid box, and a material status monitoring start instruction is obtained;

[0034] Based on the material status monitoring start instruction, real-time data collection and processing of the status of medical materials is performed through the sensor network deployed in the smart first aid box to generate original status data;

[0035] Using the original status data, edge computing is performed to quickly process local data to reduce latency, ensure instant response, and obtain optimized status data;

[0036] Using an image recognition algorithm to analyze and process the image information in the optimized state data, check the physical state of the medical supplies, and obtain a physical state assessment result;

[0037] Combined with radio frequency identification tag reading technology, based on the optimized status data, specific information is read to generate detailed material information records;

[0038] The physical status assessment results and detailed material information records are integrated to generate a material status report, which is synchronized to the remote monitoring platform and the mobile device of the person seeking help.

[0039] Optionally, the using of an image recognition algorithm to analyze and process the image information in the optimized state data, to check the physical state of the medical supplies, and to obtain a physical state assessment result includes:

[0040] Using the image information contained in the optimized status data, the image recognition algorithm is started to process, and the physical status of the medical supplies is carefully checked to obtain confirmation of the start of image recognition;

[0041] Based on the image recognition start confirmation, preprocessing the image information to ensure that the image quality is suitable for subsequent analysis and generate preprocessed image data;

[0042] Using the preprocessed image data, applying a pattern matching algorithm, identifying and classifying key features of the medical supplies, and obtaining preliminary physical state features;

[0043] Based on the preliminary physical status characteristics and in combination with historical data analysis, a comprehensive assessment of the current physical status of the medical supplies is conducted to identify any abnormal conditions that may affect the availability of the supplies and generate a physical status assessment report;

[0044] The physical status assessment report is compared and verified with the safety standards set in the smart first aid kit to ensure that all medical supplies are in good condition and obtain a physical status assessment result.

[0045] Optionally, the remote unlocking process of the most recently designated smart first aid box based on the unlocking instruction and the path information to obtain unlocking success status feedback and unlocking location information includes:

[0046] Using the generated unlocking instruction and path information, a remote unlocking command including a one-time code is sent to the nearest designated smart first aid box, the remote unlocking process is started, and confirmation of the remote unlocking command is obtained;

[0047] According to the remote unlock command sending confirmation, the security module inside the smart first aid box verifies the received one-time code to obtain an unlock verification result;

[0048] Based on the unlock verification result, if the verification is successful, a physical unlocking operation is performed on the smart first aid box, the door lock mechanism of the smart first aid box is opened, and the unlocking timestamp is recorded to generate an unlocking log;

[0049] Using the unlocking timestamp in the unlocking log and the GPS module built into the smart first aid box, the exact geographical location of the smart first aid box is obtained to obtain the unlocking location information;

[0050] The unlock log and the unlock position information are integrated to form a complete status feedback data packet, and the complete status feedback data packet is sent back to the request source and the remote monitoring platform through the network communication module to obtain successful status feedback and unlock position information.

[0051] In a second aspect, an embodiment of the present application provides a remote control system for an intelligent first aid box, comprising:

[0052] A receiving module, used to receive an emergency opening request from an authorized mobile device, wherein the emergency opening request includes user identity authentication information and geographic location information, and obtain an emergency opening request;

[0053] A verification and calculation module, used to perform permission verification processing on the user identity authentication information according to the emergency opening request using a multi-factor authentication algorithm, and confirm that the distance between the smart first aid box and the place of help is within a preset range based on the geographic location information, and calculate the optimal path to the nearest designated smart first aid box, and generate an unlocking instruction and path information;

[0054] An unlocking module, configured to remotely unlock the most recently designated smart first aid box based on the unlocking instruction and path information, and obtain unlocking success status feedback and unlocking location information;

[0055] A monitoring synchronization module is used to use the unlocking success status feedback and unlocking location information to monitor and automatically detect the status of medical supplies inside the smart first aid box in real time, and quickly process local data through edge computing to reduce delays, use image recognition algorithms to check the physical status of supplies, and read specific information in combination with radio frequency identification tags, synchronize the specific information to the remote monitoring platform and the mobile device of the person seeking help, and generate a supply status report;

[0056] The acquisition generation module is used for the remote monitoring platform to obtain medical guidance suggestions applicable to the current situation based on the material status report and the geographical location information, and to provide an operation guide adapted to the on-site environment and generate an operation guidance plan based on the medical guidance suggestions.

[0057] In a third aspect, an embodiment of the present application provides a computing device, comprising a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement remote control of a smart first aid kit as described in any one of the first aspects.

[0058] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program, wherein when the computer program is executed by a computer, remote control of a smart first aid kit as described in any one of the first aspects is implemented.

[0059] In an embodiment of the present application, an emergency opening request from an authorized mobile device is received, the emergency opening request including user identity authentication information and geographic location information, and an emergency opening request is obtained; according to the emergency opening request, a multi-factor authentication algorithm is used to verify the user identity authentication information, and based on the geographic location information, it is confirmed that the distance between the smart first aid box and the help location is within a preset range, and at the same time, the optimal path to the nearest designated smart first aid box is calculated, and an unlocking instruction and path information are generated; based on the unlocking instruction and path information, the nearest designated smart first aid box is remotely unlocked to obtain a successful unlocking status feedback and unlocking location information; using the successful unlocking status feedback and unlocking location information, the status of medical supplies inside the smart first aid box is monitored and automatically detected in real time, and local data is quickly processed through edge computing to reduce delays, an image recognition algorithm is used to check the physical status of the supplies, and specific information is read in combination with a radio frequency identification tag, and the specific information is synchronized to a remote monitoring platform and a mobile device of the help seeker to generate a supply status report; based on the supply status report and the geographic location information, the remote monitoring platform obtains medical guidance suggestions applicable to the current situation, and provides an operation guide adapted to the on-site environment according to the medical guidance suggestions, and generates an operation guidance plan.

[0060] The technical solution of this application has the following beneficial effects:

[0061] By receiving emergency opening requests from authorized mobile devices and verifying the user's identity using a multi-factor authentication algorithm, it ensures that only legitimate requests for help are processed. At the same time, based on geographic location information, it confirms that the distance between the smart first aid box and the place of help is within the preset range, and calculates the optimal path to the nearest designated smart first aid box, which greatly shortens the time for the help-seeker to obtain emergency resources and improves the speed of emergency response. The multi-factor authentication mechanism ensures that only strictly verified users can unlock the smart first aid box, preventing unauthorized access and ensuring the safe use of emergency resources. Based on geographic location information, the nearest smart first aid box is selected, and the optimal path is calculated based on real-time traffic conditions, road closures and other factors, making the allocation of emergency resources more reasonable and efficient, reducing unnecessary transportation time and costs. After successful unlocking, the status of medical supplies inside the smart first aid box is monitored and automatically detected in real time to ensure the effectiveness and availability of the supplies. The application of edge computing reduces data processing delays, improves the system's response speed, and ensures the timeliness and accuracy of the material status report. Based on the generated material status report and the help-seeker's geographic location information, the remote monitoring platform obtains medical guidance suggestions applicable to the current situation and provides operation guidelines adapted to the on-site environment. This not only improves the professionalism and pertinence of first aid measures, but also provides help-seekers with safer and more effective self-help or mutual rescue guidance, enhancing the effectiveness of first aid. The entire process is highly automated, and help-seekers only need to perform simple operations to complete the process from requesting to obtaining medical supplies, which simplifies the steps of seeking help and improves the user experience. At the same time, the material status report is synchronized to the mobile device of the help-seeker, so that the help-seeker can understand the status of the materials in the first aid kit at any time, increasing transparency and trust.

[0062] Furthermore, the received emergency opening request is used to parse the user's identity authentication information and geographic location information; the user's identity is verified through a multi-factor authentication algorithm to ensure that all verification factors are successfully matched and the verified identity information is obtained; based on the geographic location information, a geo-fence verification is performed to confirm that the person seeking help is within the preset service area and obtain a valid service area verification result. The location of the available smart first aid kits nearby is queried using the verified identity information and service area verification results; the straight-line distance between the smart first aid kit and the location of the help is calculated, the nearest target is selected, and the path planning algorithm is used to calculate the best route, taking into account factors such as real-time traffic conditions and road closures to obtain a path plan; based on the path plan, an unlocking instruction containing a one-time code and path guidance information providing specific navigation instructions are generated. Using the status feedback and unlocking location information after successful unlocking, the real-time monitoring and automatic detection of the status of medical supplies inside the smart first aid box are initiated; the original status data is collected through the sensor network deployed in the first aid box, and edge computing is used to process and optimize the data to reduce latency; the image information in the optimized status data is analyzed using an image recognition algorithm to check the physical status of the supplies; combined with radio frequency identification tag reading technology, detailed material information records are generated; the physical status assessment results and detailed material information records are integrated to generate a material status report, which is synchronized to the remote monitoring platform and the mobile device of the person seeking help.

[0063] The multi-factor authentication mechanism ensures that only strictly verified users can unlock the smart first aid box, preventing unauthorized access and ensuring the safe use of emergency resources. The combination of geo-fence verification and optimal path planning enables help-seekers to quickly find and reach the nearest smart first aid box, significantly shortening the time to obtain emergency supplies and improving the speed of emergency response. By calculating the optimal path and taking into account real-time traffic conditions, the efficient allocation of emergency resources is ensured, unnecessary transportation time and costs are reduced, and resource utilization is more reasonable and efficient. The real-time monitoring and automatic detection functions combined with edge computing technology ensure the immediacy and accuracy of material status monitoring, reduce data processing delays, and improve the response speed of the system. The remote monitoring platform provides medical guidance suggestions and operation guidelines suitable for the current situation based on the generated material status report and the geographic location information of the help-seeker, enhancing the professionalism and pertinence of the first aid measures, and providing help-seekers with safer and more effective self-help or mutual rescue guidance. The help-seeking steps are simplified, and the help-seekers can complete the process from requesting to obtaining medical supplies through simple operations. At the same time, the material status report is synchronized to the help-seeker's mobile device, which increases transparency and trust and improves the overall user experience.

[0064] 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

[0065] 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.

[0066] Figure 1 A flowchart of a remote control method of a smart first aid kit provided in an embodiment of the present application;

[0067] Figure 2 A schematic diagram of the structure of a remote control system of an intelligent first aid kit provided in an embodiment of the present application;

[0068] Figure 3 A schematic diagram of the structure of a computing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0069] 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.

[0070] 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.

[0071] 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.

[0072] Figure 1 A flowchart of a remote control method for a smart first aid kit is provided in an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0073] 101. Receive an emergency opening request from an authorized mobile device, where the emergency opening request includes user identity authentication information and geographic location information, and obtain the emergency opening request;

[0074] This step involves receiving an emergency opening request from an authorized mobile device. The request contains user authentication information and geographic location information to ensure that only legitimate users can initiate the request in the correct location. User authentication information may include static passwords, dynamic verification codes, biometric data, one-time passwords, etc., which are used for subsequent identity authentication processing. Geographic location information is obtained through GPS or other positioning technologies to confirm the actual location of the person seeking help and provide a basis for subsequent route planning.

[0075] When a caller encounters a medical emergency, they can send an emergency opening request through an authorized mobile device. After the request is received by the intelligent emergency system, it is first parsed and processed to extract the user authentication information and geographic location information. This process ensures that the system's response can accurately target the specific call-for-help incident and prepares for the subsequent permission verification and geo-fence verification.

[0076] In a city-level public safety project, suppose a citizen has a heart attack in a downtown park. He uses a pre-registered mobile app to send an emergency opening request. The app automatically collects the user's biometric data and current GPS coordinates, and packages this information into an emergency opening request and sends it to the nearest smart first aid kit control system. After the system receives the request, it immediately interprets it and prepares for the next step of identity authentication and location confirmation.

[0077] 102. According to the emergency opening request, the user identity authentication information is verified by using a multi-factor authentication algorithm, and the distance between the smart first aid box and the help location is confirmed to be within a preset range based on the geographic location information, and the optimal path to the nearest designated smart first aid box is calculated, and an unlocking instruction and path information are generated;

[0078] In this step, the user's identity authentication information is verified using a multi-factor authentication algorithm, and the distance between the smart first aid box and the place where help is sought is confirmed to be within a preset range based on the geographic location information. Multi-factor authentication is a security measure that requires users to provide two or more verification methods to increase security. Geographic fencing refers to setting a virtual boundary, and only requests within this boundary will be accepted, ensuring that the smart first aid box only responds to requests for help within the effective range.

[0079] After receiving the parsed user identity authentication information, the system starts the multi-factor authentication process, verifies each factor in sequence or simultaneously, and ensures that all verification conditions are matched successfully. Then, the system checks whether the help-seeker is located in the preset service area based on the help-seeker's geographic location information. If the verification is successful and the help-seeker is in the service area, it continues to calculate the optimal path to the nearest designated smart first aid box and generates unlocking instructions and path information.

[0080] Continuing with the above embodiment, after the system receives the emergency opening request from the citizen in the park, it first compares the facial recognition data provided by the citizen with the records in the pre-stored security database to ensure a consistent match. Then, the system verifies whether the citizen's location is within the preset service area. After confirmation, the system queries the location of the available smart first aid kits nearby, and combines the real-time traffic conditions to calculate the best route from the citizen's current location to the nearest first aid kit, and generates unlocking instructions and navigation instructions.

[0081] 103. Based on the unlocking instruction and the path information, remotely unlock the most recently designated smart first aid box to obtain unlocking success status feedback and unlocking location information;

[0082] In this step, the process of remotely unlocking the nearest designated smart first aid box based on the unlocking instruction and path information is described. The unlocking instruction usually contains a one-time code to ensure that each unlocking operation is unique to prevent reuse. The path information provides detailed navigation guidance to help the helper quickly find and reach the target first aid box.

[0083] After the system generates the unlocking command, it sends it to the selected smart first aid box through a secure communication channel. After receiving the command, the first aid box executes the unlocking action and feedbacks the status information of whether the unlocking is successful or not and the specific unlocking location. This step ensures that the person seeking help can obtain the required medical supplies in the shortest possible time, and also provides a clear feedback mechanism for subsequent monitoring and management.

[0084] In the above scenario, after the system calculates the best route, it sends an unlock command to the nearest smart first aid box, which includes a one-time code to ensure uniqueness and security. The first aid box immediately unlocks after receiving the command, and feedbacks the system with the status information and specific location of the successful unlocking. The citizen quickly reaches the first aid box according to the navigation instructions, successfully takes out the required medicines and equipment, and performs initial treatment in time.

[0085] 104. Using the unlocking success status feedback and unlocking location information, the status of medical supplies inside the smart first aid box is monitored and automatically detected in real time, and local data is quickly processed through edge computing to reduce delays, and the physical status of the supplies is checked using an image recognition algorithm, and specific information is read in combination with a radio frequency identification tag, and the specific information is synchronized to a remote monitoring platform and a mobile device of the person seeking help, to generate a supplies status report;

[0086] In this step, the status feedback and unlocking location information after successful unlocking are used to start real-time monitoring and automatic detection of the status of medical supplies inside the smart first aid box. Edge computing is used for local data processing to reduce latency, while image recognition algorithms and radio frequency identification tag reading technology are used to check the physical status of supplies and obtain detailed information, respectively. Ultimately, these data are integrated into a supply status report and synchronized to the remote monitoring platform and the mobile device of the person seeking help.

[0087] Once the smart first aid kit is unlocked, the system activates the internal sensor network to collect status data of medical supplies. This data is quickly processed through edge computing to ensure immediate response. Then, image recognition algorithms are used to analyze the physical status of the supplies, such as whether they are damaged or expired; at the same time, radio frequency identification tags read specific information, such as the type, quantity and expiration date of the supplies. Finally, the system integrates all the information into a supply status report and synchronizes it to the remote monitoring platform and the mobile device of the person seeking help, so that the latest status of emergency resources can be kept up to date.

[0088] In this application example, after the citizen opens the first aid kit, the internal sensors start working to monitor the quantity and status of the remaining medicines in real time. The edge computing module quickly processes the data from the sensor to ensure instant feedback. The system uses image recognition technology to check whether the drug packaging is intact, and reads the specific information of each drug through the radio frequency identification tag, including name, quantity, expiration date, etc. All this information is integrated into a detailed material status report and synchronized to the remote monitoring platform for reference by medical staff. At the same time, the report is also sent to the citizen's mobile phone to let him know which drugs have been used and which are still available.

[0089] 105. Based on the material status report and the geographic location information, the remote monitoring platform obtains medical guidance suggestions applicable to the current situation, and provides an operation guide adapted to the on-site environment based on the medical guidance suggestions, and generates an operation guidance plan.

[0090] In this step, based on the material status report and the geographic location information of the person seeking help, the remote monitoring platform obtains medical guidance suggestions applicable to the current situation, and based on these suggestions, provides operation guidelines adapted to the on-site environment and generates operation guidance plans. Medical guidance suggestions can be immediate guidance from professional medical staff or pre-set standardized emergency response procedures, aiming to provide the person seeking help with scientific and reasonable self-rescue or mutual rescue methods.

[0091] After receiving the report on the status of supplies, the remote monitoring platform combines the geographic location information and other relevant data of the person seeking help to assess the current situation and obtain appropriate medical guidance and suggestions. Based on these suggestions, the platform generates specific operation guidelines, which may include how to properly use the medical supplies in the first aid kit and what first aid measures to take. These guidelines are pushed to the person seeking help via mobile devices to ensure that they can follow professional guidance and improve the effectiveness of first aid.

[0092] In this application example, after the citizen got the medicine, the remote monitoring platform automatically generated a personalized operation guide based on his location and the status of the supplies in the first aid kit. This guide not only tells him how to take the medicine, but also provides the basic steps of cardiopulmonary resuscitation, because the system determines that the citizen may need to perform this operation to save his life. The guide is pushed to him through the citizen's mobile phone, instructing him on what to do while waiting for the ambulance to arrive. At the same time, the platform also notifies nearby medical institutions of the citizen's situation and location, ensuring that paramedics can quickly arrive at the scene and provide further professional assistance.

[0093] Through the implementation of steps 101 to 105, the remote control method of the smart first aid box significantly improves the speed, accuracy and safety of emergency response through a series of technical innovations and process optimization. First, starting from receiving the emergency opening request from the authorized mobile device, the system can quickly parse the user authentication information and geographic location information to ensure that the request of the helper is processed immediately. Multi-factor authentication and geo-fence verification further ensure the accuracy of the response and reduce the interference of invalid or erroneous requests. Secondly, the multi-factor authentication algorithm is used to verify the user's identity, and the geo-fence technology is combined to confirm that the helper is located in the preset service area, which effectively prevents unauthorized access and ensures the safe use of emergency resources. Then, by calculating the optimal path to the nearest designated smart first aid box, considering the real-time traffic conditions and road closures, it is ensured that the helper can obtain the necessary medical supplies in the shortest time, which improves the efficiency of resource allocation. Furthermore, after the unlocking is successful, the system starts the real-time monitoring and automatic detection of the status of the medical supplies inside the smart first aid box, and uses edge computing to reduce delays and ensure instant response. The image recognition algorithm checks the physical status of the materials, reads the specific information in combination with the RFID tags, generates a detailed material status report and synchronizes it to the remote monitoring platform and the mobile device of the person seeking help, providing accurate data support for subsequent operations. Finally, based on the material status report and the geographic location information of the person seeking help, the remote monitoring platform obtains medical guidance suggestions applicable to the current situation and provides operation guidelines adapted to the on-site environment. This not only enhances the professionalism and pertinence of the first aid measures, but also provides the person seeking help with safer and more effective self-rescue or mutual rescue guidance, improving the first aid effect.

[0094] In order to solve the security loopholes and misjudgment problems that may exist in the multi-factor authentication process, in some embodiments, the step 102 uses a multi-factor authentication algorithm to verify the user identity authentication information according to the emergency opening request, and confirms that the distance between the smart first aid box and the help location is within a preset range based on the geographic location information, and calculates the optimal path to the nearest designated smart first aid box, and generates an unlocking instruction and path information, including:

[0095] Optionally, in step 102, according to the emergency opening request, the user identity verification information is verified by using a multi-factor authentication algorithm, and the distance between the smart first aid box and the place where help is sought is confirmed to be within a preset range based on the geographic location information, and the optimal path to the nearest designated smart first aid box is calculated to generate an unlocking instruction and path information, including: using the received emergency opening request, parsing the received emergency opening request to obtain user identity verification information and geographic location information; according to the user identity verification information, using a multi-factor authentication algorithm to verify the user's identity, by comparing the information provided by the user with the corresponding records in the pre-stored security database, ensuring that all verification factors are matched successfully, and obtaining the verified identity information; based on the geographic location information, performing geo-fence verification on the current location of the person seeking help The method comprises the following steps: determining whether the person seeking help is located in a preset service area to confirm the validity of the response of the smart first aid box and obtaining a valid service area verification result; using the verified identity information and the valid service area verification result, querying the location of the available smart first aid boxes nearby, calculating the straight-line distance between the smart first aid box and the place where the help is sought based on the geographical location information of the person seeking help, selecting one or more of the closest smart first aid boxes as the target, and using a path planning algorithm to calculate the best route from the place where the help is sought to the selected smart first aid box, taking into account factors such as real-time traffic conditions and road closures, to obtain a path plan; generating an unlocking instruction and path guidance information according to the path plan, wherein the unlocking instruction includes a one-time code for remotely unlocking the smart first aid box, and the path guidance information provides specific navigation instructions to the first aid box.

[0096] Optionally, in step 102, based on the user identity authentication information, a multi-factor authentication algorithm is used to verify the user identity, and by comparing the information provided by the user with the corresponding records in the pre-stored security database, it is ensured that all verification factors are successfully matched to obtain the verified identity information, including: using the received identity authentication information provided by the user, parsing the received identity authentication information to obtain verification information, and the verification information includes a first factor and a second factor; based on the verification information, each verification factor provided by the user is compared with the corresponding records pre-stored in the security database one by one to ensure that each verification factor has a match and obtain a preliminary verification result; based on the preliminary verification result, a specific verification logic processing is performed on each verification factor, a hash comparison processing is performed on the password or PIN code, and a pattern matching processing is performed on the biometric data to obtain a detailed verification result; using the detailed verification result, it is further confirmed that the user has the authority to open the smart first aid box in an emergency, and the authority has been pre-configured in the system and associated with the user account to generate a permission confirmation result; based on the permission confirmation result, once all verification steps are completed and the result is positive, the user identity is finally verified and passed to obtain the verified identity information.

[0097] In this embodiment, the multi-factor authentication algorithm is a security mechanism that requires the user to provide two or more verification methods to increase the security of the system. These verification factors may include, but are not limited to, static passwords, dynamic verification codes, biometric data, one-time passwords, etc. The verification information includes the first factor and the second factor provided by the user. The first factor usually refers to information known by the user, such as a password or PIN code; the second factor is information or characteristics possessed by the user, such as a dynamic verification code, fingerprint, or facial recognition received by a mobile phone. Hash comparison processing is for passwords or PIN codes, the system does not directly store the plain text password, but stores its hash value. When the user enters the password, the system calculates the input hash value and compares it with the hash value stored in the database to ensure that even if the database is leaked, the plain text password will not be easily obtained. Pattern matching processing is for biometric data, such as fingerprints or facial images, the system analyzes the collected data through a pre-trained pattern recognition algorithm to determine the similarity between it and the pre-stored template, thereby determining whether it matches. The permission confirmation result refers to the permission setting for the user account to open the smart first aid box in the system in advance. Only verified users with corresponding permissions can successfully unlock the first aid box.

[0098] In an embodiment of the present application, first, the received identity authentication information provided by the user is used to parse the received identity authentication information to obtain verification information. The verification information includes a first factor and a second factor. Secondly, according to the parsed verification information, each verification factor provided by the user is compared with the corresponding record pre-stored in the security database one by one to ensure that each verification factor has a match and obtain a preliminary verification result. Then, based on the preliminary verification result, a specific verification logic process is performed on each verification factor. For a password or PIN code, a hash comparison process is performed; for biometric data, a pattern matching process is performed to obtain a detailed verification result. Further, using the detailed verification result, it is further confirmed that the user has the authority to open the smart first aid box in an emergency. This authority has been pre-configured in the system and associated with the user account to generate a permission confirmation result. Finally, according to the permission confirmation result, once all verification steps are completed and the result is positive, the user identity is finally verified and processed to obtain the identity information that has passed the verification.

[0099] Here is a specific example:

[0100] Suppose in a smart city's security emergency response system, a citizen has a heart attack in a downtown park and needs to use a nearby smart first aid kit. He sends an emergency opening request through an authorized mobile application, which automatically collects the user's biometric data and current GPS coordinates, and packages this information into an emergency opening request and sends it to the nearest smart first aid kit control system.

[0101] First, after receiving the request, the system first parses the authentication information and extracts the password and facial recognition data provided by the citizen as the first factor and the second factor.

[0102] Secondly, the system converts the password provided by the citizen into a hash value and compares it with the hash value stored in the security database. At the same time, the facial recognition data is pattern matched with the pre-stored template to ensure that both verification factors are matched successfully and obtain a preliminary verification result.

[0103] Next, for the password part, the system uses a cryptographic hash function to calculate the input hash value and compares it with the hash value stored in the database. For facial recognition data, the system analyzes image features through a deep learning algorithm, confirms a high degree of similarity with the pre-stored template, and obtains detailed verification results.

[0104] Furthermore, the system checks whether the citizen's account has been pre-configured with the permission to open the smart first aid box in an emergency. If the permission exists and the verification is successful, a permission confirmation result is generated.

[0105] Finally, once all verification steps are completed and the results are positive, the system confirms that the citizen is legitimate and allows him to urgently open the nearest smart first aid box. The system then continues to execute subsequent steps such as route planning and remote unlocking processing.

[0106] Through this embodiment, it can be seen that multi-factor authentication not only improves the security of the system, but also ensures that only users with legitimate permissions can quickly obtain necessary medical resources in an emergency, thereby enhancing the effectiveness and reliability of the entire emergency response system.

[0107] In order to solve the problems of low efficiency and insufficient accuracy that may exist in the process of selecting and planning a smart first aid box and path, in some embodiments, the method in step 102 uses the verified identity information and the valid service area verification result to query the location of the available smart first aid boxes nearby, calculates the straight-line distance between the smart first aid box and the help-seeking location based on the geographic location information of the help-seeker, selects one or more of the closest smart first aid boxes as the target, and uses a path planning algorithm to calculate the best route from the help-seeking location to the selected smart first aid box, taking into account factors such as real-time traffic conditions and road closures, to obtain a path plan, including:

[0108] Optionally, the use of the verified identity information and the valid service area verification result in step 102 to query the location of available smart first aid boxes nearby, calculate the straight-line distance between the smart first aid box and the place where help is sought based on the geographic location information of the person seeking help, select one or more of the closest smart first aid boxes as the target, and use a path planning algorithm to calculate the best route from the place where help is sought to the selected smart first aid box, taking into account factors such as real-time traffic conditions and road closures, to obtain a path plan, including: using the verified identity information and the service area verification result to perform permission confirmation processing on the request, ensuring that only requests that have been authenticated and are located in the valid service area will be processed, and obtaining permission-confirmed requests; based on the permission-confirmed requests, accurately locate the geographic location information of the person seeking help, and generate a list of available smart first aid boxes in combination with geographic information system data; based on the available A list of smart first aid kits, calculating the straight-line distance between each smart first aid kit and the place where help is sought, selecting one or more of the smart first aid kits closest to the first aid kit as preliminary candidate targets, and obtaining a preliminary candidate list of smart first aid kits; considering the dynamic factors of real-time traffic conditions and road closures, conducting accessibility evaluation on the targets in the preliminary candidate list of smart first aid kits, adjusting the selection criteria of the smart first aid kits, ensuring that the selected targets are the closest and have the highest accessibility, and obtaining the final selected smart first aid kit; based on the final selected smart first aid kit, using a path planning algorithm, combined with the geographic location information of the help seeker, calculating the best route from the place where help is sought to the selected smart first aid kit, considering the factors of real-time traffic conditions and road closures, and obtaining the best route; based on the best route, conducting a comprehensive evaluation of the path plan, integrating detailed navigation instructions and other relevant information, and finally obtaining the path plan.

[0109] In this embodiment, the permission confirmation process refers to further permission confirmation of the request after verifying the result of the identity information and service area. It ensures that only requests that have been authenticated and are located in the valid service area will be processed, thereby preventing unauthorized or invalid requests from interfering with the normal operation of the system. The precise positioning process is to combine the geographic information system data to perform high-precision positioning of the geographic location information of the helper. This not only includes GPS coordinates, but may also involve other auxiliary positioning technologies to improve the accuracy of positioning and provide a reliable location reference for the subsequent selection of smart first aid boxes. The list of available smart first aid boxes is based on the location information of the helper and the preset service range to generate a list of available smart first aid boxes nearby. This list is the basis for subsequent distance calculation and selection. The accessibility evaluation process is to evaluate the accessibility of the preliminary candidate smart first aid boxes by considering factors such as real-time traffic conditions and road closures. The purpose is to ensure that the selected target is not only the closest, but also the easiest to reach, to avoid delays caused by traffic problems. The path planning algorithm uses advanced path planning algorithms to combine the geographic location information of the helper and real-time traffic data to calculate the best route from the place of help to the selected smart first aid box. These algorithms can comprehensively consider multiple factors and provide optimized navigation guidance. Comprehensive assessment processing is to integrate the best route and other relevant information to generate a detailed route plan. The route plan not only includes specific navigation instructions, but also may include estimated arrival time, possible traffic conditions, etc., to help those who need help find emergency resources more efficiently.

[0110] In the embodiment of the present application, first, the request is processed for permission confirmation using the verified identity information and service area verification results to ensure that only requests that have been authenticated and are located in the valid service area will be processed, and a request that has been confirmed for permission is obtained. Secondly, based on the request that has been confirmed for permission, the geographic location information of the person seeking help is accurately located, and a list of available smart first aid kits is generated in combination with the geographic information system data. Then, according to the generated list of available smart first aid kits, the straight-line distance between each smart first aid kit and the place of help is calculated, and one or more of the closest distances are selected as preliminary candidate targets to obtain a preliminary candidate list of smart first aid kits. Further, considering dynamic factors such as real-time traffic conditions and road closures, the targets in the preliminary candidate list of smart first aid kits are evaluated for accessibility, and the selection criteria of the smart first aid kits are adjusted to ensure that the selected target is not only the closest, but also has the highest accessibility, and the final selected smart first aid kit is obtained. Furthermore, based on the final selected smart first aid kit, a path planning algorithm is used, combined with the geographic location information of the person seeking help, to calculate the best route from the place of help to the selected smart first aid kit, taking into account factors such as real-time traffic conditions and road closures, and obtaining the best route. Finally, based on the optimal route, the path plan is comprehensively evaluated and processed, and detailed navigation instructions and other relevant information are integrated to finally obtain the path plan.

[0111] Here is a specific example:

[0112] Suppose in a smart city's security emergency response system, a citizen has a heart attack in a downtown park and needs to use a nearby smart first aid kit. He sends an emergency opening request through an authorized mobile application, which automatically collects the user's biometric data and current GPS coordinates, and packages this information into an emergency opening request and sends it to the nearest smart first aid kit control system.

[0113] First, after receiving the request, the system first uses the verified identity information and service area verification results to confirm that the citizen's request is legal and within the valid service area, and obtains the request with authority confirmation.

[0114] Secondly, the system will accurately locate the current location of the citizen based on the request after permission confirmation, and query and generate a list of nearby available smart first aid kits in combination with GIS data. The system may also use auxiliary technologies such as Wi-Fi and Bluetooth beacons to improve positioning accuracy.

[0115] Next, the system calculates the straight-line distance between each available smart first aid kit and the citizen’s current location, selects the first aid kits closest to it as preliminary candidate targets, and forms a preliminary candidate list of smart first aid kits.

[0116] Furthermore, the system obtains data on real-time traffic conditions and road closures to evaluate the accessibility of preliminary candidate first aid boxes. For example, if the street where a preliminary candidate first aid box is located is under road construction, the system will give priority to a first aid box on another more unobstructed route to ensure that the selected target is not only the closest but also the easiest to reach.

[0117] Furthermore, based on the final selected smart first aid kit, the system uses a path planning algorithm to calculate the best route from the citizen's current location to the selected first aid kit. Taking into account factors such as real-time traffic flow and road construction, the system may recommend an alternative route that bypasses congested sections to ensure that citizens can reach their destination as quickly as possible.

[0118] Finally, the system conducts a comprehensive evaluation of the calculated optimal route, integrates detailed navigation instructions and other relevant information, and generates a complete route plan. The route plan not only includes specific navigation instructions for each step, but also includes estimated arrival time, possible traffic conditions, etc., to help citizens quickly find emergency resources.

[0119] Through this example, it can be seen that this method not only improves the safety and accuracy of the system, but also ensures that the help-seekers can obtain necessary medical supplies in the shortest time, enhancing the effectiveness and reliability of the entire emergency response system. In addition, by comprehensively considering real-time traffic conditions and road closures, the system provides more intelligent and humane services and improves user experience.

[0120] In order to solve the security and response speed problems in the remote unlocking process of the smart first aid box, in some embodiments, the remote unlocking process of the most recently designated smart first aid box based on the unlocking instruction and path information in step 103, and obtaining the unlocking success status feedback and unlocking location information, includes:

[0121] Optionally, the remote unlocking process of the most recently designated smart first aid box based on the unlocking instruction and path information in step 103 to obtain unlocking success status feedback and unlocking location information includes: using the generated unlocking instruction and path information to send a remote unlocking command containing a one-time code to the most recently designated smart first aid box, starting a remote unlocking process, and obtaining a remote unlocking command sending confirmation; according to the remote unlocking command sending confirmation, the security module inside the smart first aid box verifies the received one-time code to obtain an unlocking verification result; based on the unlocking verification result, if the verification is successful, performing a physical unlocking operation on the smart first aid box, opening the door lock mechanism of the smart first aid box, and recording an unlocking timestamp to generate an unlocking log; using the unlocking timestamp in the unlocking log, combined with the built-in GPS module of the smart first aid box, obtaining the current exact geographical location of the smart first aid box, and obtaining unlocking location information; integrating the unlocking log with the unlocking location information to form a complete status feedback data packet, and sending the complete status feedback data packet back to the request source and the remote monitoring platform through the network communication module to obtain successful status feedback and unlocking location information.

[0122] In this embodiment, the remote unlock command refers to an instruction containing a one-time code, which is used to start the remote unlock process of the smart first aid box. The one-time code is a security measure to ensure the uniqueness of each unlock operation to prevent reuse or tampering. The unlock verification result is the result of the security module inside the smart first aid box verifying the received one-time code. Successful verification means that the user identity and request are legal and the physical unlock operation can be performed; if the verification fails, the unlock is rejected and the abnormal event is recorded. The physical unlock operation is that when the unlock verification is passed, the smart first aid box will perform the actual door lock opening action. This usually involves the control circuit of a mechanical or electronic lock to ensure that the door lock can respond and open quickly. The unlock log includes a record file of the unlock timestamp and other relevant information. The unlock timestamp accurately records the time point when the door lock is opened, while the unlock log records the key events and parameters of the entire unlocking process in detail for subsequent auditing and troubleshooting. The GPS module is built into the smart first aid box to obtain its exact geographic location information. This information is crucial to confirming the location of the first aid box, especially when the person seeking help may not be able to accurately describe the location. The status feedback data packet is a data packet that integrates the unlock log and unlock location information, which is sent back to the request source and the remote monitoring platform through the network communication module. This feedback mechanism ensures that both system administrators and callers are informed of the status of the first aid kit in real time.

[0123] In the embodiment of the present application, first, using the generated unlocking instruction and path information, a remote unlocking command containing a one-time code is sent to the most recently designated smart first aid box, the remote unlocking process is started, and a confirmation of the remote unlocking command is obtained. Secondly, according to the confirmation of the remote unlocking command, the security module inside the smart first aid box verifies the received one-time code to obtain an unlocking verification result. Then, based on the unlocking verification result, if the verification is successful, a physical unlocking operation is performed on the smart first aid box to open the door lock mechanism of the smart first aid box, and the unlocking timestamp is recorded to generate an unlocking log. Furthermore, the unlocking timestamp in the unlocking log is used in combination with the built-in GPS module of the smart first aid box to obtain the exact geographical location of the current smart first aid box and obtain the unlocking location information. Finally, the unlocking log and the unlocking location information are integrated to form a complete status feedback data packet, and the complete status feedback data packet is sent back to the request source and the remote monitoring platform through the network communication module to obtain successful status feedback and unlocking location information.

[0124] Here is a specific example:

[0125] Suppose in a smart city's security emergency response system, a citizen has a heart attack in a downtown park and needs to use a nearby smart first aid kit. He sends an emergency opening request through an authorized mobile application, which automatically collects the user's biometric data and current GPS coordinates, and packages this information into an emergency opening request and sends it to the nearest smart first aid kit control system.

[0126] First, the system sends a remote unlock command containing a one-time code to the smart first aid box closest to the citizen based on the unlock command and path information generated in the previous steps. The command is transmitted through a secure communication channel to ensure the integrity and security of the command, and at the same time obtains confirmation of the remote unlock command.

[0127] Secondly, after the smart first aid box receives the remote unlock command, the internal security module immediately verifies the received one-time code. The verification process involves comparing the one-time code with the pre-configured key to ensure that the command comes from a legitimate source. If the verification is successful, it proceeds to the next step; otherwise, the system will record the abnormal event and remain locked.

[0128] Then, after successful verification, the smart first aid box performs a physical unlocking operation, that is, sending a signal through the control circuit to open the door lock mechanism. At the same time, the system records the unlocking timestamp and generates a detailed unlocking log for future auditing and troubleshooting.

[0129] Furthermore, the smart first aid kit uses the built-in GPS module to obtain its exact geographic location information at the moment of unlocking. This information not only helps to confirm the specific location of the first aid kit, but also provides basic data for navigation guidance for those who need help.

[0130] Finally, the system integrates the unlocking log and the unlocking location information to form a complete status feedback data packet. This data packet is sent back to the request source and the remote monitoring platform through the network communication module. The citizen's mobile phone will display a prompt "First aid kit has been unlocked" and provide the specific unlocking location and time; at the same time, the corresponding status will also be updated on the remote monitoring platform to ensure that managers can keep track of the use of emergency resources at any time.

[0131] Through this example, it can be seen that this method not only improves the security and reliability of the system, but also ensures that the help-seekers can obtain the necessary medical supplies in the shortest time, enhancing the effectiveness and user experience of the entire emergency response system. In addition, through the real-time feedback mechanism, the system administrator can timely understand the use of the first aid kit, providing valuable data support for subsequent management and optimization.

[0132] In order to solve the delay and accuracy problems that may exist in the process of monitoring the status of medical supplies and synchronizing information in the smart first aid box, in some embodiments, the state feedback of successful unlocking and the unlocking position information in step 104 are used to monitor and automatically detect the status of medical supplies in the smart first aid box in real time, and local data is quickly processed through edge computing to reduce delays. The physical state of the supplies is checked using an image recognition algorithm, and specific information is read in combination with a radio frequency identification tag. The specific information is synchronized to the remote monitoring platform and the mobile device of the person seeking help, and a supply status report is generated, including:

[0133] Optionally, the state feedback and unlocking location information of the successful unlocking in step 104 are used to monitor and automatically detect the state of the medical supplies inside the smart first aid box in real time, and local data is quickly processed through edge computing to reduce delays, and the physical state of the supplies is checked using an image recognition algorithm, and specific information is read in combination with a radio frequency identification tag, and the specific information is synchronized to a remote monitoring platform and a mobile device of the person seeking help, and a supply status report is generated, including: using the state feedback and unlocking location information after successful unlocking, starting real-time monitoring and automatic detection processing of the internal medical supply state of the most recently designated smart first aid box, and obtaining a supply status monitoring start instruction; based on the supply status monitoring start instruction, by deploying in the smart The sensor network in the first aid kit can collect and process the status of medical supplies in real time to generate original status data; use the original status data to perform edge computing processing to quickly process local data to reduce delays, ensure immediate response, and obtain optimized status data; use an image recognition algorithm to analyze and process the image information in the optimized status data, check the physical status of the medical supplies, and obtain physical status evaluation results; combine radio frequency identification tag reading technology, read specific information based on the optimized status data, and generate detailed material information records; integrate the physical status evaluation results and detailed material information records to generate a material status report, and synchronize it to the remote monitoring platform and the mobile device of the person seeking help.

[0134] Optionally, the use of an image recognition algorithm in step 104 to analyze and process the image information in the optimized state data, check the physical state of the medical supplies, and obtain a physical state assessment result includes: using the image information contained in the optimized state data, starting image recognition algorithm processing, starting a detailed inspection of the physical state of the medical supplies, and obtaining an image recognition start confirmation; based on the image recognition start confirmation, performing a preprocessing operation on the image information to ensure that the image quality is suitable for subsequent analysis and generate preprocessed image data; using the preprocessed image data, applying a pattern matching algorithm to identify and classify key features of the medical supplies to obtain preliminary physical state features; based on the preliminary physical state features, combined with historical data analysis, comprehensively assessing the current physical state of the medical supplies, identifying any abnormal conditions that affect the availability of supplies, and generating a physical state assessment report; comparing and verifying the physical state assessment report with the safety standards set in the smart first aid kit to ensure that all medical supplies are in good condition and obtain a physical state assessment result.

[0135] In this embodiment, the material status monitoring start instruction is a command to trigger the internal sensor network of the smart first aid box to start real-time monitoring and automatic detection based on the status feedback and unlocking position information after successful unlocking. This instruction ensures that the system starts the status monitoring of medical supplies at the appropriate time. The original status data is generated by real-time data collection and processing of the status of medical supplies by the sensor network deployed in the smart first aid box. These data include but are not limited to environmental parameters such as temperature, humidity, and light intensity, as well as specific information such as the quantity, location, and physical state of the materials. Edge computing processing is a local data processing technology that aims to quickly process local data to reduce latency and ensure immediate response. Edge computing can complete preliminary data processing and analysis in the first aid box, reduce the burden on remote servers, and improve the response speed of the system. The image recognition algorithm is an advanced algorithm for checking the physical state of medical supplies, and evaluates whether the materials are intact by analyzing image information. The algorithm can identify abnormal conditions such as damaged packaging and label detachment to ensure that the materials are in good condition. Radio frequency identification tag reading technology uses a built-in RFID reader to read detailed information from the RFID tag attached to each medical supply, such as the type, quantity, expiration date, etc. of the supply to ensure the accuracy of the supply information. The physical status assessment result is a comprehensive assessment report on the current physical status of the medical supply generated by combining image recognition and RFID reading information. This report not only contains specific information about the supply, but also includes a comprehensive evaluation of its availability and safety.

[0136] In this embodiment, first, the state feedback and unlocking position information after successful unlocking are used to start real-time monitoring and automatic detection processing of the internal medical material status of the most recently designated smart first aid box, and a material status monitoring startup instruction is obtained. Secondly, based on the material status monitoring startup instruction, the status of the medical material is collected and processed in real time through the sensor network deployed in the smart first aid box to generate original state data. Using the original state data, edge computing is performed to quickly process local data to reduce delays and ensure immediate response, and optimized state data is obtained. Then, the image information in the optimized state data is analyzed and processed using an image recognition algorithm to check the physical state of the medical material and obtain a physical state evaluation result. Using the image information contained in the optimized state data, the image recognition algorithm is started to start a detailed inspection of the physical state of the medical material, and an image recognition startup confirmation is obtained. Based on the image recognition startup confirmation, the image information is preprocessed to ensure that the image quality is suitable for subsequent analysis, and preprocessed image data is generated. Using the preprocessed image data, a pattern matching algorithm is applied to identify and classify the key features of the medical material to obtain preliminary physical state features. Next, based on the preliminary physical status characteristics and combined with historical data analysis, a comprehensive assessment of the current physical status of medical supplies is conducted to identify any abnormal conditions that affect the availability of supplies and generate a physical status assessment report. The physical status assessment report is compared and verified with the safety standards set in the smart first aid kit to ensure that all medical supplies are in good condition and obtain the physical status assessment results. Furthermore, combined with radio frequency identification tag reading technology, specific information is read based on the optimized status data to generate detailed material information records. Finally, the physical status assessment results and detailed material information records are integrated to generate a material status report, which is synchronized to the remote monitoring platform and the mobile device of the person seeking help.

[0137] Here is a specific example:

[0138] Suppose in a smart city's security emergency response system, a citizen has a heart attack in a downtown park and needs to use a nearby smart first aid kit. He sends an emergency opening request through an authorized mobile application, which automatically collects the user's biometric data and current GPS coordinates, and packages this information into an emergency opening request and sends it to the nearest smart first aid kit control system.

[0139] First, after receiving the status feedback of successful unlocking, the smart first aid box immediately starts the internal sensor network and begins real-time monitoring and automatic detection of the status of medical supplies. The system generates a material status monitoring start instruction and prepares for the next step of data collection. The sensor network starts working to collect environmental parameters and specific status of medical supplies in the first aid box. These data are transmitted to the local processor in real time to form raw status data. The system uses edge computing technology to quickly process these raw status data, reduce latency, and ensure instant response. After processing, optimized status data is generated to prepare for subsequent image recognition and RFID reading.

[0140] Secondly, the system uses the image information contained in the optimized status data to start the image recognition algorithm processing and begin to carefully check the physical status of medical supplies to ensure that each material is in good condition. The image information is preprocessed to adjust parameters such as brightness and contrast to ensure that the image quality is suitable for subsequent analysis and generate preprocessed image data.

[0141] Next, the pattern matching algorithm is applied to identify and classify the key features of medical supplies, such as the color, shape, and label position of the drug packaging, to obtain preliminary physical status characteristics. Combined with historical data analysis, the system conducts a comprehensive assessment of the current physical status of medical supplies, identifies any abnormal conditions that may affect the availability of supplies, such as damaged packaging or expired drugs, and generates a physical status assessment report.

[0142] Furthermore, the physical status assessment report is compared and verified with the safety standards set in the first aid kit to ensure that all medical supplies meet the use requirements and finally obtain the physical status assessment results. The system also uses RFID tag reading technology to read detailed information from the RFID tag on each medical supply, such as material type, quantity, expiration date, etc., to ensure the accuracy and completeness of material information and generate detailed material information records.

[0143] Finally, the system integrates the physical status assessment results and detailed material information records to generate a complete material status report. This report not only contains specific information about each material, but also includes its physical status and availability assessment. The report is synchronized to the remote monitoring platform and citizens' mobile devices through the network communication module, allowing citizens to understand the status of materials in the first aid kit in real time, and also provides valuable management data for managers.

[0144] Through this example, it can be seen that this method not only improves the intelligence level and reliability of the system, but also ensures that the help-seekers can obtain accurate material information in the shortest time, enhancing the effectiveness and user experience of the entire emergency response system. In addition, through real-time monitoring and feedback mechanisms, system administrators can timely grasp the use of emergency resources, providing solid data support for subsequent management and optimization.

[0145] This application takes into account that in emergency medical situations, time is life, so choosing the shortest, fastest and safest path is crucial. Traditional path planning algorithms usually only consider distance or time, but fail to fully consider the impact of dynamic factors such as real-time traffic conditions and road closures. This may result in the recommended path not being the best choice, delaying precious rescue time.

[0146] To solve the above problems, researchers developed a path planning algorithm based on heuristic search, which not only takes into account the actual driving cost, but also introduces heuristic estimated costs to predict future additional costs. By introducing weight parameters and exponential parameters, the formula can flexibly adjust the importance of different factors to ensure that the generated path is both fast and safe. Therefore, a new optional solution is proposed, which includes:

[0147] Based on the finally selected smart first aid box, a path planning algorithm is used to calculate the best route from the help-seeking location to the selected smart first aid box in combination with the geographical location information of the help-seeker, taking into account factors such as real-time traffic conditions and road closures, to obtain the best route, including:

[0148] Using the final selected location e of the smart first aid box and the location s of the help-seeker, the total cost C(p) of path p is defined as the actual driving cost g(s, e) plus the heuristic estimated cost h(e);

[0149] The total cost C(p) of path p is defined by the following formula:

[0150] C(p)=g(s,e)+h(e)

[0151] Among them, g(s, e) is the actual driving cost; h(e) is the heuristic estimated cost; C(p) is the total cost of the defined path p, which is used to evaluate the quality of the route from the help-seeking location to the smart first aid box; p is the defined path;

[0152] For the actual driving cost g(s, e), it is further decomposed into the straight-line distance d l ine (s, e), estimated traffic time t traffic (s, e) and road closure impact factor f closure(s, e), and introduce weight parameters w1, w2, w3 and exponential parameters α1, α2, α3 for complicated processing;

[0153] The actual driving cost g(s, e) is calculated using the following formula:

[0154]

[0155] Among them, d l ine (s, e) is the straight-line distance between the help-seeking location s and the location e of the smart first aid box; t traffic (s, e) is the estimated travel time from the help location s to the smart first aid box location e, which depends on the travel time under the current road conditions provided by the real-time traffic data API; f closure (s, e) are the factors affecting road closures, which come from the road closure information of the map service API and indicate the time or distance added due to road closures or construction; w1, w2, w3 are weight parameters used to adjust the importance of each factor, and are optimized based on historical data learning; α1, α2, α3 are exponential parameters used to adjust the degree of influence of different factors;

[0156] For the heuristic estimated cost h(e), a more complex distance estimate is used and an additional cost c is considered extra , introduce the exponential parameter β;

[0157] The heuristic estimation cost h(e) is calculated using the following formula:

[0158] h(e)=d l ine (e, goal) β +c extra

[0159] Among them, d l ine (e, goal) is the straight-line distance between the smart first aid box location e and the target location; β is an exponential parameter used to refine the distance part of the heuristic estimate and is set based on the actual situation; c extra It is an additional cost, affected by future traffic forecasts or access restrictions in special areas;

[0160] Based on the total cost C(p) of the path p defined above, a path planning algorithm is used to search for a path with the minimum cost C(p) as the best route from the help-seeking location s to the selected smart first aid box e;

[0161] The optimal route is combined with real-time traffic conditions and road closures, and a comprehensive evaluation is performed to integrate detailed navigation instructions and other relevant information to ultimately obtain a path solution.

[0162] The following is a detailed explanation of each parameter:

[0163] Exponential parameter α1: used to adjust the impact of straight-line distance. Allows the system to flexibly adjust according to different situations. For example, when traffic conditions are good and the road is straight, the impact of straight-line distance is greater. It is set based on historical data analysis and experimental results. The default value is usually 1, but it can be optimized by machine learning algorithms in specific cases.

[0164] Weight parameter w1: used to adjust the importance of straight-line distance. It reflects the relative importance of different factors in path planning. Although straight-line distance is important, its importance may be surpassed by other factors in some scenarios (such as busy roads in the city center). It can be configured by the system administrator or automatically adjusted by the learning model based on historical data. The default value can be set based on experience.

[0165] Estimated travel time traffic (s, e): Estimated travel time from the help-seeking location s to the smart first aid box location e. Relying on the travel time under current road conditions provided by real-time traffic data API. These APIs usually integrate data from multiple sources, including GPS tracking, traffic cameras, and user reports, to provide accurate estimates. It directly affects whether the help-seeker can reach the destination quickly and is an important consideration for path selection.

[0166] Exponential parameter α2: used to adjust the impact of the estimated traffic time. Taking into account the uncertainty of traffic conditions, an exponential parameter is used to amplify the impact of long delays, especially in emergency situations. The default value is usually 2 based on historical data analysis and experimental results, but can be optimized by machine learning algorithms in specific cases.

[0167] Exponential parameter α1: used to adjust the impact of straight-line distance. Allows the system to flexibly adjust according to different situations. For example, when traffic conditions are good and the road is straight, the impact of straight-line distance is greater. It is set based on historical data analysis and experimental results. The default value is usually 1, but it can be optimized by machine learning algorithms in specific cases.

[0168] Weight parameter w1: used to adjust the importance of straight-line distance. It reflects the relative importance of different factors in path planning. Although straight-line distance is important, its importance may be surpassed by other factors in some scenarios (such as busy roads in the city center). It can be configured by the system administrator or automatically adjusted by the learning model based on historical data. The default value can be set based on experience.

[0169] Estimated travel time traffic(s, e): Estimated travel time from the help-seeking location s to the smart first aid box location e. Relying on the travel time under current road conditions provided by real-time traffic data API. These APIs usually integrate data from multiple sources, including GPS tracking, traffic cameras, and user reports, to provide accurate estimates. It directly affects whether the help-seeker can reach the destination quickly and is an important consideration for path selection.

[0170] Exponential parameter α2: used to adjust the impact of the estimated traffic time. Taking into account the uncertainty of traffic conditions, an exponential parameter is used to amplify the impact of long delays, especially in emergency situations. The default value is usually 2 based on historical data analysis and experimental results, but can be optimized by machine learning algorithms in specific cases.

[0171] Weight parameter w2: used to adjust the importance of estimated traffic time. It reflects the relative importance of different factors in route planning. Traffic time is one of the key factors affecting arrival speed, especially in emergency situations. It can be configured by the system administrator or automatically adjusted by the learning model based on historical data. The default value can be set based on experience.

[0172] Road closure impact factor f closure (s, e): represents the time or distance added due to road closure or construction. Obtained through the road closure information of the map service API. This information usually includes construction areas, temporary road closures, and detour suggestions, which can help the system evaluate the additional costs. It may make the original optimal route unfeasible, adding additional time and distance costs, so it needs special consideration.

[0173] Exponential parameter α3: used to adjust the impact of the road closure impact factor. Allows the system to flexibly adjust according to different situations. The impact of road closure may be linear because it directly increases travel time and distance. The default value is usually 1 based on historical data analysis and experimental results, but it can be optimized by machine learning algorithms in specific cases.

[0174] Weight parameter w3: used to adjust the importance of the road closure factor. It reflects the relative importance of different factors in route planning. Road closures can have a significant impact on route selection, especially when key sections are under construction. It can be configured by the system administrator or automatically adjusted by a learning model based on historical data. The default value can be set based on experience.

[0175] Heuristic estimated cost h(e): Heuristic estimated cost used to predict future additional costs. A more complex distance estimate is used, and additional costs are taken into account to better predict future traffic conditions and thus select a more reasonable path.

[0176] Straight line distance dl ine (e, goal): The straight-line distance between the smart first aid box location e and the target location. Calculated using the geographic coordinate calculation tool based on the longitude and latitude of the two locations. Provides a basic distance estimate as part of the heuristic estimate.

[0177] Exponential parameter β: used to refine the distance part of the heuristic estimate. It is set based on actual conditions and can adjust the sensitivity of the distance estimate to make the heuristic estimate more accurate. It is set based on historical data analysis and experimental results. The default value is usually 1.5, but it can be optimized by machine learning algorithms in specific cases.

[0178] Additional costc extra :Additional costs caused by future traffic forecasts or restrictions on access to special areas. Obtained through traffic forecast models or map service APIs, usually including factors such as peak hours, special events, and weather conditions. Consider possible future traffic conditions or special restrictions to assess potential risks and costs in advance.

[0179] The following is an introduction to the design reasons of each sub-item:

[0180] Straight-line distance is a basic reference indicator for path planning, which provides the theoretical value of the shortest path between two points. However, the straight-line distance alone is not enough to reflect the actual situation, so the index parameter and weight parameter are introduced to make it closer to the actual needs.

[0181] The estimated traffic time directly affects whether the help-seeker can reach the destination quickly. Considering the uncertainty of traffic conditions, an exponential parameter is used to amplify the impact of long delays, and its importance is adjusted through a weight parameter to ensure a more reasonable path selection.

[0182] Road closures may make the optimal route infeasible, adding additional time and distance costs. By introducing the road closure impact factor and its corresponding index and weight parameters, the impact of these special situations on route selection can be better evaluated.

[0183] The purpose of adding up the sub-items is to comprehensively consider the influence of all factors, ensuring that the final route selection not only takes into account the distance, but also fully considers the traffic conditions and road closures. This method makes the route planning more comprehensive and accurate.

[0184] The overall design of the formula aims to provide a flexible and efficient path planning method, which is particularly suitable for smart first aid kit systems in emergency medical situations. By introducing multiple influencing factors and adjusting them in combination with index parameters and weight parameters, the system is able to generate an optimal route that is both fast and safe. This not only improves the response speed and reliability of the system, but also enhances the user experience and the intelligence level of the system. By continuously learning and optimizing parameter settings, the system can further improve the accuracy of path planning and ensure that the person seeking help can receive the necessary medical assistance in the shortest time.

[0185] Here is a specific example:

[0186] Suppose in a smart city's safety emergency response system, a citizen has a heart attack in a downtown park and needs to use a nearby smart first aid kit. He sends an emergency opening request through an authorized mobile application, which automatically collects the user's biometric data (such as facial recognition) and current GPS coordinates, and packages this information into an emergency opening request and sends it to the nearest smart first aid kit control system. The system selects the nearest smart first aid kit based on the user's location and starts calculating the best route.

[0187] The following are the parameter settings:

[0188] The location of the person seeking help: (40.7128, -74.0060) (Central Park, New York City)

[0189] Select the location of the smart first aid box: (40.7150, -73.9980) (about 1 km from Central Park)

[0190] Target location: Same as the smart first aid kit location

[0191] Weight parameters w1, w2, w3: set to 1, 2, 3, representing the importance of straight-line distance, travel time, and road closure impact, respectively.

[0192] Exponential parameters α1, α2, α3: set to 1, 2, 1, used to adjust the influence of each factor.

[0193] Exponential parameter β: set to 1.5 to refine the distance part of the heuristic estimate.

[0194] Additional costc extra : Set to 5 minutes to simulate access restrictions in special areas.

[0195] The following is the data acquisition:

[0196] Straight line distance d l ine (s, e): Using the geographic coordinate calculation tool, it is approximately 0.7 kilometers.

[0197] Estimated travel time traffic (s, e): The travel time under current traffic conditions provided by the real-time traffic data API is 8 minutes.

[0198] Road closure impact factor f closure (s, e): Road closure information via the Maps API, assuming the added time is 3 minutes.

[0199] The following is the calculation process

[0200] Calculate the actual driving cost g(s, e):

[0201]

[0202] Substituting the values:

[0203] g(s,e)=0.7 1 ×1+8 2 ×2+3 1 ×3=0.7+128+9=137.7

[0204] Calculate the heuristic estimated cost h(e):

[0205] h(e)=d l ine (e, goal) β +c extra

[0206] Since the target location is the same as the smart first aid box location, d l ine (e, goal) is 0, so:

[0207] h(e)=0 1.5 +5=5

[0208] Calculate the total cost C(p):

[0209] C(p)=g(s,e)+h(e)

[0210] Substituting the values:

[0211] C(p)=137.7+5=142.7

[0212] Based on the above calculations, the total cost C(p) of path p is 142.7. This means that the optimal route from the location of help to the smart first aid box takes into account the straight-line distance, expected traffic time, and the impact of road closures, ensuring that the path selection is both fast and safe. The system will provide detailed navigation guidance based on the calculation results, including the estimated time of arrival (8 minutes) and possible traffic conditions (such as an additional 3-minute delay caused by road construction) to help help seekers find emergency resources more efficiently. If the system detects that there are other paths with a lower total cost, it will re-evaluate and recommend the optimal path. In addition, the weight parameters and index parameters can be continuously learned and optimized based on historical data to further improve the accuracy of path planning.

[0213] In summary, this method not only improves the accuracy and efficiency of path planning in the smart first aid kit system, but also provides more reliable and convenient first aid services for those seeking help, while also providing valuable management data support for system administrators. By combining factors such as real-time traffic conditions and road closures, the system can provide more intelligent and humane services, improving user experience and system reliability.

[0214] This application considers that the smart first aid kit system must respond quickly and provide accurate medical supplies information in emergency situations. However, traditional data processing methods usually rely on remote servers, which can cause significant delays, especially in poor network conditions. In addition, raw sensor data often contains noise and redundant information, which affects the accuracy and efficiency of data analysis. To overcome these problems, the researchers proposed a local data processing method based on edge computing, which aims to reduce latency, improve response speed, and ensure instant data analysis and decision-making. Therefore, a new optional solution is proposed, which includes:

[0215] The original status data is used to perform edge computing to quickly process local data to reduce latency, ensure instant response, and obtain optimized status data, including:

[0216] Using the original state data Raw Data, define the edge computing processing function ECD;

[0217] The edge computing processing function ECD is defined by the following formula:

[0218] Optimized Data=ECD(Raw Data)

[0219] Raw Data is the original state data, which is collected in real time by the sensor network in the smart first aid kit; Optimized Data is the final optimized state data, which is obtained after edge computing processing and is used for subsequent analysis and decision-making;

[0220] Preprocessing the raw data Raw Data, removing noise and performing normalization operations to generate preprocessed data Preprocessed Data;

[0221] The preprocessed data is obtained through the following formula:

[0222] Preprocessed Data=Preprocess(Raw Data)=Raw Data-Noise(Raw Data)

[0223] Among them, Noise (Raw Data) is the removal of noise in the raw state data through filtering algorithm; Preprocessed Data is the raw state data that has been preprocessed, including noise removal and normalization operations; Preprocess (Raw Data) is the preprocessing of the raw state data Raw Data;

[0224] Perform data compression and feature extraction on the preprocessed data to reduce redundant information and retain key features to generate feature data;

[0225] Feature Data=CompressAndExtract(Preprocessed Data)=PCA(PreprocessedData)

[0226] Among them, PCA (Preprocessed Data) uses the principal component analysis method to extract the preprocessed features; Feature Data is the extracted feature data, which reduces redundant information and retains key features; CompressAndExtract (Preprocessed Data) compresses and extracts features from the preprocessed data (Preprocessed Data) to reduce redundant information and retain key features;

[0227] Perform real-time analysis on feature data, evaluate the status of medical supplies, and generate analyzed data;

[0228] The analyzed data is generated by the following formula:

[0229]

[0230] Among them, w i is the weight parameter of the i-th feature; fi (Feature Data) is the analysis function for the i-th feature; Analyze (Feature Data) is to perform real-time analysis on the extracted feature data (Feature Data) to evaluate the status of medical supplies and generate preliminary analysis results; Analyzed Data is the analyzed data, which contains a preliminary evaluation of the status of medical supplies;

[0231] Fusion and optimization of analyzed data and historical data to ensure instant response and generate final optimized state data;

[0232] The final optimized state data Optimized Data is generated by the following formula:

[0233] Optimized Data=FusionAndOptimize(Analyzed Data)

[0234] =α·Analyzed Data+(1-α)·Historical Data

[0235] Among them, α is the fusion coefficient; Historical Data is historical data; Analyzed Data is the analyzed data, which contains the preliminary assessment of the status of medical supplies; Optimized Data is the final optimized status data, which combines multiple analysis results to ensure immediate response; FusionAndOptimize(Analyzed Data) is to perform data fusion and optimization on the analyzed data (Analyzed Data) to generate the final optimized status data.

[0236] The following is a detailed explanation of each parameter:

[0237] Raw Data: Data collected in real time by the sensor network in the smart first aid box, including but not limited to environmental parameters such as temperature, humidity, light intensity, and specific information such as the quantity, location, and physical state of medical supplies. It is collected in real time through various sensors deployed in the smart first aid box (such as temperature sensors, humidity sensors, cameras, etc.).

[0238] Edge computing processing function ECD: A function used to quickly process local data to reduce latency and ensure instant response. By processing data locally, it reduces dependence on remote servers and improves the response speed and reliability of the system.

[0239] Final optimized status data: Data obtained after edge computing processing is used for subsequent analysis and decision-making. These data have been pre-processed, feature extracted, real-time analyzed and fused, and can more accurately reflect the current status of medical supplies and provide support for decision-making.

[0240] Preprocessing (Raw Data): Preprocess the raw data to remove noise and normalize it. Removing noise can improve the quality of the data, and normalization ensures that data of different dimensions have the same weight, thereby improving the accuracy of subsequent analysis.

[0241] Noise (Raw Data): Remove the noise in the raw data through filtering algorithms (such as low-pass filter, median filter, etc.). Noise will interfere with the accuracy of data analysis, so it needs to be removed in the preprocessing stage.

[0242] Preprocessed Data: Raw data that has been preprocessed, including noise removal and normalization operations. Ensure data quality and consistency to provide high-quality input for subsequent steps.

[0243] Data compression and feature extraction CompressAndExtract(PreprocessedData): compresses and extracts features from preprocessed data to reduce redundant information and retain key features. Through methods such as principal component analysis (PCA), the key information that best represents the data characteristics is extracted to reduce data dimensions and improve processing efficiency.

[0244] Principal Component Analysis (PCA) (Preprocessed Data): PCA is used to reduce the dimension of preprocessed data and retain the main features. PCA is a commonly used dimensionality reduction technique that can effectively extract the main features of the data and reduce redundant information.

[0245] Feature Data: Extracted feature data reduces redundant information and retains key features. It simplifies the data structure and improves the efficiency and accuracy of subsequent analysis.

[0246] Real-time analysis Analyze (Feature Data): Perform real-time analysis on the extracted feature data, evaluate the status of medical supplies, and generate preliminary analysis results. Through real-time analysis of feature data, the status of medical supplies can be evaluated in a timely manner to provide a basis for decision-making.

[0247] Weight parameter w i: The weight parameter of the ith feature, which is used to adjust the importance of each feature. Different features have different impacts on the status of medical supplies. The weight parameter allows the system to flexibly adjust the importance of each feature according to the actual situation.

[0248] Analysis function f i (Feature Data): The analysis function for the ith feature, used to evaluate the specific state of the feature. Each feature may have a different evaluation method, and its state can be evaluated more accurately through a specific analysis function.

[0249] Analyzed Data: Contains the results of the preliminary assessment of the status of medical supplies, providing a basis for subsequent data fusion and optimization.

[0250] Data fusion and optimization FusionAndOptimize (AnalyzedData): Fusion and optimization of analyzed data AnalyzedData and historical data Historical Data to ensure instant response and generate the final optimized state data Optimized Data. Combining the current analysis results and historical data, taking into account a variety of factors, more accurate and reliable optimized state data is generated.

[0251] Fusion coefficient α: used to adjust the weight between the analysis results and historical data. The default value can be set based on experience. The fusion coefficient allows the system to flexibly adjust according to different situations, ensuring that the final result takes into account both the current situation and historical experience.

[0252] Historical Data: Historical records from the system provide a reference benchmark. Historical data can provide additional contextual information to help the system make more scientific and reasonable decisions.

[0253] Final optimized status data: The final optimized status data combines multiple analysis results to ensure immediate response. These data not only reflect the current status of medical supplies, but also combine the wisdom of historical data to provide more comprehensive information support for decision-making.

[0254] The following is a brief introduction to the design reasons of each sub-item:

[0255] α·Analyzed Data: Multiplying the fusion coefficient α is to adjust the importance of the current analysis result. In most cases, the current analysis result better reflects the actual situation, so it is given a higher weight.

[0256] (1-α) Historical Data: Multiplying by (1-α) is to adjust the importance of historical data. Historical data provides additional contextual information. Although it is not as timely as current data, it can be used as a reference to increase the reliability of decision making.

[0257] This formula adds up the sub-items to comprehensively consider the contributions of both and generate a more comprehensive and accurate status data. This approach ensures that the final result not only reflects the current actual situation, but also combines the wisdom of historical data, improving the reliability and accuracy of decision-making.

[0258] The overall design of the formula aims to provide an efficient and accurate method, which is particularly suitable for monitoring the status of medical supplies in smart first aid kit systems. By introducing edge computing processing, the system can quickly process data locally, reduce latency, and ensure immediate response. At the same time, by preprocessing, feature extraction, real-time analysis, and data fusion of raw data, the system can more accurately assess the status of medical supplies, provide reliable services to those seeking help, and provide valuable management data support to system administrators.

[0259] Here is a specific example:

[0260] Suppose a citizen has a sudden heart attack in a downtown park and needs to use a nearby smart first aid kit urgently. He sends an emergency opening request through an authorized mobile application, which automatically collects the user's biometric data (such as facial recognition) and current GPS coordinates, and packages this information into an emergency opening request and sends it to the nearest smart first aid kit control system. The system selects the nearest smart first aid kit based on the user's location and initiates the following steps:

[0261] The system uses the sensor network deployed in the smart first aid box to collect raw status data in real time, and quickly processes this data through the edge computing processing function ECD to reduce latency and ensure immediate response.

[0262] The system preprocesses the original data Raw Data, removes noise and performs normalization operations to generate preprocessed data Preprocessed Data.

[0263] The system performs data compression and feature extraction on the preprocessed data to reduce redundant information and retain key features to generate feature data.

[0264] The system performs real-time analysis on feature data, evaluates the status of medical supplies, and generates preliminary analysis results (Analyzed Data).

[0265] The system integrates and optimizes the analyzed data with the historical data to generate the final optimized status data OptimizedData to ensure instant response.

[0266] Finally, the system will synchronize the generated optimized status data OptimizedData to the remote monitoring platform and the mobile device of the person seeking help, provide detailed navigation instructions and other relevant information, and ensure that the person seeking help can obtain the necessary medical assistance in the shortest time.

[0267] Through this series of steps, the smart first aid kit system not only improves the speed and accuracy of data processing, but also enhances the user experience and the intelligence level of the system. The application of edge computing enables the system to process data quickly locally, reducing the delay caused by relying on remote servers and ensuring the system's immediate response capabilities. At the same time, through preprocessing, feature extraction, real-time analysis and data fusion of raw data, the system can more accurately assess the status of medical supplies, provide reliable services to those seeking help, and provide valuable management data support for system administrators.

[0268] Figure 2 The present invention provides a schematic diagram of a remote control system for a smart first aid kit. Figure 2 As shown, the system includes:

[0269] The receiving module 21 is used to receive an emergency opening request from an authorized mobile device, wherein the emergency opening request includes user identity authentication information and geographic location information, and obtain an emergency opening request;

[0270] A verification and calculation module 22 is used to perform permission verification processing on the user identity authentication information according to the emergency opening request using a multi-factor authentication algorithm, and confirm that the distance between the smart first aid box and the place of help is within a preset range based on the geographical location information, and calculate the optimal path to the nearest designated smart first aid box, and generate an unlocking instruction and path information;

[0271] Unlocking module 23, used to remotely unlock the most recently designated smart first aid box based on the unlocking instruction and path information, and obtain unlocking success status feedback and unlocking location information;

[0272] The monitoring synchronization module 24 is used to monitor and automatically detect the status of medical supplies inside the smart first aid box in real time by using the unlocking success status feedback and unlocking location information, and quickly process local data through edge computing to reduce delays, use image recognition algorithms to check the physical status of supplies, and read specific information in combination with radio frequency identification tags, synchronize the specific information to the remote monitoring platform and the mobile device of the person seeking help, and generate a supply status report;

[0273] The acquisition generation module 25 is used for the remote monitoring platform to obtain medical guidance suggestions applicable to the current situation based on the material status report and the geographical location information, and to provide an operation guide adapted to the on-site environment and generate an operation guidance plan based on the medical guidance suggestions.

[0274] Figure 2 The remote control system of the smart first aid box can perform Figure 1 The implementation principle and technical effect of the remote control method of the smart first aid box described in the embodiment are not described in detail. The specific way in which each module and unit performs operations in the remote control system of the smart first aid box in the above embodiment has been described in detail in the embodiment of the method, and will not be described in detail here.

[0275] In one possible design, Figure 2 The remote control system of the smart first aid box 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;

[0276] 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 .

[0277] The processing component 32 is used to: receive an emergency opening request from an authorized mobile device, the emergency opening request including user identity authentication information and geographic location information, and obtain an emergency opening request; according to the emergency opening request, use a multi-factor authentication algorithm to verify the user identity authentication information, and confirm that the distance between the smart first aid box and the help location is within a preset range based on the geographic location information, and calculate the optimal path to the nearest designated smart first aid box, and generate an unlocking instruction and path information; based on the unlocking instruction and path information, remotely unlock the nearest designated smart first aid box to obtain unlocking success status feedback and unlocking location information; use the unlocking success status feedback and unlocking location information to monitor and automatically detect the status of medical supplies inside the smart first aid box in real time, and quickly process local data through edge computing to reduce delays, use an image recognition algorithm to check the physical status of the supplies, and read specific information in combination with a radio frequency identification tag, synchronize the specific information to a remote monitoring platform and the mobile device of the help seeker, and generate a supply status report; based on the supply status report and the geographic location information, the remote monitoring platform obtains medical guidance suggestions applicable to the current situation, and provides an operation guide adapted to the on-site environment based on the medical guidance suggestions, and generates an operation guidance plan.

[0278] 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.

[0279] 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.

[0280] Of course, the computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0281] 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.

[0282] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0283] 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.

[0284] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 The remote control method of the smart first aid box of the illustrated embodiment.

[0285] 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.

[0286] 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.

[0287] 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.

[0288] 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. A remote control method for an intelligent first aid box, characterized in that: include: Receiving an emergency opening request from an authorized mobile device, the emergency opening request including user identity authentication information and geographic location information, and obtaining an emergency opening request; According to the emergency opening request, the user identity authentication information is verified by using a multi-factor authentication algorithm, and the distance between the smart first aid box and the place of help is confirmed to be within a preset range based on the geographic location information, and the optimal path to the nearest designated smart first aid box is calculated, and an unlocking instruction and path information are generated; Based on the unlocking instruction and path information, remotely unlock the most recently designated smart first aid box to obtain unlocking success status feedback and unlocking location information; The unlocking success status feedback and unlocking location information are used to monitor and automatically detect the status of medical supplies inside the smart first aid box in real time, and local data is quickly processed through edge computing to reduce delays. The image recognition algorithm is used to check the physical status of the supplies, and the specific information is read in combination with the radio frequency identification tag. The specific information is synchronized to the remote monitoring platform and the mobile device of the person seeking help, and a supply status report is generated; Based on the material status report and the geographic location information, the remote monitoring platform obtains medical guidance suggestions applicable to the current situation, and provides operation guidelines adapted to the on-site environment and generates an operation guidance plan based on the medical guidance suggestions.

2. The method according to claim 1, characterized in that According to the emergency opening request, the user identity authentication information is verified by using a multi-factor authentication algorithm, and the distance between the smart first aid box and the help location is confirmed to be within a preset range based on the geographic location information, and the optimal path to the nearest designated smart first aid box is calculated, and the unlocking instruction and path information are generated, including: Utilizing the received emergency opening request, parsing the received emergency opening request to obtain user identity verification information and geographic location information; Based on the user identity authentication information, a multi-factor authentication algorithm is used to verify the user's identity, and by comparing the information provided by the user with the corresponding records in the pre-stored security database, it is ensured that all verification factors are matched successfully, and the verified identity information is obtained; Based on the geographic location information, a geo-fence verification process is performed on the current location of the help-seeker to determine whether the help-seeker is located within a preset service area, so as to confirm the validity of the response of the smart first aid box and obtain a valid service area verification result; Using the verified identity information and the valid service area verification result, query the location of the available smart first aid kits nearby, calculate the straight-line distance between the smart first aid kit and the help-seeking location based on the geographic location information of the help-seeker, select one or more of the closest smart first aid kits as targets, and use a path planning algorithm to calculate the best route from the help-seeking location to the selected smart first aid kit, taking into account factors such as real-time traffic conditions and road closures, to obtain a path plan; According to the path plan, an unlocking instruction and path guidance information are generated, wherein the unlocking instruction includes a one-time code for remotely unlocking the smart first aid box, and the path guidance information provides specific navigation instructions to the first aid box.

3. The method according to claim 2, characterized in that The user identity verification process is performed on the user identity using a multi-factor authentication algorithm based on the user identity authentication information, and by comparing the information provided by the user with the corresponding records in the pre-stored security database, it is ensured that all verification factors are matched successfully, and the verified identity information is obtained, including: Using the received identity verification information provided by the user, the received identity verification information is parsed to obtain verification information, where the verification information includes a first factor and a second factor; According to the verification information, each verification factor provided by the user is compared with the corresponding record pre-stored in the security database one by one to ensure that each verification factor has a matching item and obtain a preliminary verification result; Based on the preliminary verification result, perform specific verification logic processing on each verification factor, perform hash comparison processing on the password or PIN code, and perform pattern matching processing on the biometric data to obtain a detailed verification result; Using the detailed verification result, further confirming that the user has the authority to open the smart first aid box in an emergency, the authority has been pre-configured in the system and associated with the user account, and generating an authority confirmation result; According to the permission confirmation result, once all verification steps are completed and the result is positive, the user identity is finally verified and processed to obtain the verified identity information.

4. The method according to claim 2, characterized in that: The method uses the verified identity information and the valid service area verification result to query the location of the available smart first aid kits nearby, calculates the straight-line distance between the smart first aid kit and the help-seeking location based on the geographical location information of the help-seeker, selects one or more of the closest smart first aid kits as targets, and uses a path planning algorithm to calculate the best route from the help-seeking location to the selected smart first aid kit, taking into account factors such as real-time traffic conditions and road closures, to obtain a path plan, including: Using the verified identity information and service area verification results, the request is processed for permission confirmation to ensure that only requests that have passed identity authentication and are located in a valid service area are processed, and requests that have passed permission confirmation are obtained; Based on the request confirmed by the authority, the geographical location information of the person seeking help is accurately located and processed, and a list of available smart first aid kits is generated in combination with the geographic information system data; According to the list of available smart first aid kits, the straight-line distance between each smart first aid kit and the place where help is sought is calculated, and one or more smart first aid kits closest to the first aid kits are selected as preliminary candidate targets to obtain a preliminary candidate list of smart first aid kits; Considering the dynamic factors of real-time traffic conditions and road closures, the targets in the preliminary candidate smart first aid box list are evaluated for accessibility, and the selection criteria of the smart first aid box are adjusted to ensure that the selected target is the closest and has the highest accessibility, thereby obtaining the finally selected smart first aid box; Based on the finally selected smart first aid box, a path planning algorithm is used to calculate the best route from the help-seeking location to the selected smart first aid box in combination with the geographical location information of the help-seeker, taking into account factors such as real-time traffic conditions and road closures to obtain the best route; Based on the optimal route, the path plan is comprehensively evaluated and processed, and detailed navigation instructions and other relevant information are integrated to finally obtain a path plan.

5. The method according to claim 1, characterized in that: The unlocking success status feedback and unlocking location information are used to monitor and automatically detect the status of medical supplies inside the smart first aid box in real time, and local data is quickly processed through edge computing to reduce delays. The image recognition algorithm is used to check the physical status of the supplies, and the specific information is read in combination with the radio frequency identification tag. The specific information is synchronized to the remote monitoring platform and the mobile device of the helper to generate a supply status report, including: Using the status feedback and unlocking position information after successful unlocking, real-time monitoring and automatic detection processing are started for the internal medical material status of the nearest designated smart first aid box, and a material status monitoring start instruction is obtained; Based on the material status monitoring start instruction, real-time data collection and processing of the status of medical materials is performed through the sensor network deployed in the smart first aid box to generate original status data; Using the original status data, edge computing is performed to quickly process local data to reduce latency, ensure instant response, and obtain optimized status data; Using an image recognition algorithm to analyze and process the image information in the optimized state data, check the physical state of the medical supplies, and obtain a physical state assessment result; Combined with radio frequency identification tag reading technology, based on the optimized status data, specific information is read to generate detailed material information records; The physical status assessment results and detailed material information records are integrated to generate a material status report, which is synchronized to the remote monitoring platform and the mobile device of the person seeking help.

6. The method according to claim 5, characterized in that The method of using an image recognition algorithm to analyze and process the image information in the optimized state data, check the physical state of the medical supplies, and obtain a physical state assessment result includes: Using the image information contained in the optimized status data, the image recognition algorithm is started to process, and the physical status of the medical supplies is carefully checked to obtain confirmation of the start of image recognition; Based on the image recognition start confirmation, preprocessing the image information to ensure that the image quality is suitable for subsequent analysis and generate preprocessed image data; Using the preprocessed image data, applying a pattern matching algorithm, identifying and classifying key features of the medical supplies, and obtaining preliminary physical state features; Based on the preliminary physical status characteristics and in combination with historical data analysis, a comprehensive assessment of the current physical status of the medical supplies is conducted to identify any abnormal conditions that may affect the availability of the supplies and generate a physical status assessment report; The physical status assessment report is compared and verified with the safety standards set in the smart first aid kit to ensure that all medical supplies are in good condition and obtain a physical status assessment result.

7. The method according to claim 1, characterized in that The remote unlocking process of the most recently designated smart first aid box is performed based on the unlocking instruction and the path information, and the unlocking success status feedback and unlocking location information are obtained, including: Using the generated unlocking instruction and path information, a remote unlocking command including a one-time code is sent to the nearest designated smart first aid box, the remote unlocking process is started, and confirmation of the remote unlocking command is obtained; According to the remote unlock command sending confirmation, the security module inside the smart first aid box verifies the received one-time code to obtain an unlock verification result; Based on the unlock verification result, if the verification is successful, a physical unlocking operation is performed on the smart first aid box, the door lock mechanism of the smart first aid box is opened, and the unlocking timestamp is recorded to generate an unlocking log; Using the unlocking timestamp in the unlocking log and the GPS module built into the smart first aid box, the exact geographical location of the smart first aid box is obtained to obtain the unlocking location information; The unlock log and the unlock position information are integrated to form a complete status feedback data packet, and the complete status feedback data packet is sent back to the request source and the remote monitoring platform through the network communication module to obtain successful status feedback and unlock position information.

8. A remote control system for an intelligent first aid kit, characterized in that: include: A receiving module, used to receive an emergency opening request from an authorized mobile device, wherein the emergency opening request includes user identity authentication information and geographic location information, and obtain an emergency opening request; A verification and calculation module, used to perform permission verification processing on the user identity authentication information according to the emergency opening request using a multi-factor authentication algorithm, and confirm that the distance between the smart first aid box and the place of help is within a preset range based on the geographic location information, and calculate the optimal path to the nearest designated smart first aid box, and generate an unlocking instruction and path information; An unlocking module, configured to remotely unlock the most recently designated smart first aid box based on the unlocking instruction and path information, and obtain unlocking success status feedback and unlocking location information; A monitoring synchronization module is used to use the unlocking success status feedback and unlocking location information to monitor and automatically detect the status of medical supplies inside the smart first aid box in real time, and quickly process local data through edge computing to reduce delays, use image recognition algorithms to check the physical status of supplies, and read specific information in combination with radio frequency identification tags, synchronize the specific information to the remote monitoring platform and the mobile device of the person seeking help, and generate a supply status report; The acquisition generation module is used for the remote monitoring platform to obtain medical guidance suggestions applicable to the current situation based on the material status report and the geographical location information, and to provide an operation guide adapted to the on-site environment and generate an operation guidance plan based on the medical guidance suggestions.

9. A computing device, characterized in that It comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to realize remote control of an intelligent first aid box as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a computer, the remote control of the intelligent first aid box according to any one of claims 1 to 7 is realized.

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