Intelligent wearable device and emergency service method and system linked with door lock

Abstract

The present application relates to the technical field of emergency service, in particular to an emergency service method and system with intelligent wearable device and door lock linkage, comprising the following steps: S1, collecting historical physiological data and real-time physiological data of a user through an intelligent wearable device, acquiring case information of the user, setting an abnormal threshold of physiological indicators of the user according to the historical physiological data and the case information of the user; S2, establishing a service personnel database, collecting the positions of service personnel and users in the service personnel database respectively, and combining the position information of the service personnel and the position information of the users with an electronic map to calculate a path; through the establishment of a standardized service personnel database and the adoption of Beidou positioning, the accurate positions of the service personnel and the users are collected, the optimal emergency path is calculated by combining real-time traffic, road traffic, and district traffic restrictions, and the path is dynamically updated.

Description

Technical Field

[0001] This invention relates to the field of emergency service technology, and more specifically, to an emergency service method and system that links a smart wearable device with a door lock. Background Technology

[0002] Smart wearable devices have been widely used in the field of physiological data monitoring for the elderly, enabling real-time collection and abnormal warning of physiological indicators such as heart rate, blood pressure, and blood oxygen. Smart door locks, with their convenient unlocking methods and security features, have become an important part of home security. The application of both types of devices aims to improve the safety of elderly people living at home, promptly detect physical abnormalities and reduce home safety hazards, and provide basic technical support for elderly people living alone or aging at home.

[0003] Currently, smart wearable devices for physiological monitoring only collect data and issue alarms for abnormalities. Alarm information is mostly pushed to relatives' terminals, without subsequent emergency response resource scheduling and on-site service coordination mechanisms. Smart door locks, on the other hand, only focus on the security and convenient unlocking of the living environment, without linking with the early warning of physiological abnormalities in the elderly. The elderly will face the dilemma of not having professional personnel to quickly handle the situation, resulting in a break in the emergency response chain. The elderly's physical condition may deteriorate due to untimely handling. Therefore, this paper proposes an emergency service method and system that links smart wearable devices with door locks. Summary of the Invention

[0004] The purpose of this invention is to provide an emergency service method and system that links smart wearable devices with door locks, so as to solve the problems mentioned in the background art.

[0005] To address the aforementioned technical problems, one objective of this invention is to provide an emergency service method that links a smart wearable device with a door lock, comprising the following steps:

[0006] S1. Collect users' historical and real-time physiological data through smart wearable devices, and obtain users' medical records. Set abnormal thresholds for users' physiological indicators based on users' historical physiological data and medical records.

[0007] S2. Establish a service personnel database, collect the location data of service personnel and users in the database, and combine the location information of service personnel and users with the electronic map to calculate the route and obtain the emergency route for each service personnel to reach the user's residential address from the current location.

[0008] S3. Compare the user's real-time physiological data with the abnormal threshold, activate the corresponding emergency level according to the comparison result, send the control command to the smart door lock through the smart wearable device, trigger the smart door lock to generate a temporary door opening password, and at the same time, perform dual screening of the service personnel qualification data and emergency path in the service personnel database according to the activated emergency level, and retain the service personnel who meet the emergency level requirements.

[0009] S4. For the service personnel retained in S3, reward orders are dynamically issued according to the emergency route. At the same time, emergency service videos of the service personnel are extracted based on the door lock opening and closing time. Independent rescue tasks are analyzed based on the emergency service videos, and corresponding emergency service videos are segmented and matched based on the independent rescue tasks obtained from the analysis.

[0010] S5. Calculate service scores based on the emergency service videos corresponding to each rescue mission, calculate the reward amount based on the service scores, and settle reward orders with service personnel based on the calculated reward amount. Simultaneously update the user's abnormal threshold and emergency level.

[0011] As a further improvement to this technical solution, in S1, the smart wearable device is a smartwatch adapted to the operating habits of the elderly.

[0012] The physiological data of users is collected by the physiological sensors equipped in smart wearable devices, and the collected physiological data is divided into historical physiological data and real-time physiological data according to the collection time.

[0013] As a further improvement to this technical solution, in step S1, the user inputs medical records into a smart wearable device;

[0014] Abnormal thresholds for physiological indicators were set based on the patient's age, underlying medical history, and the fluctuation patterns of historical physiological data.

[0015] As a further improvement to this technical solution, in step S2, a service personnel database is established, and the identity information and service qualification data of the service personnel are set in the service personnel database;

[0016] The BeiDou positioning system is used to collect the location information of service personnel and users from the service personnel database, thereby obtaining the location information of service personnel and users.

[0017] By combining the location information of service personnel and users with the location information of users on an electronic map, route calculations are performed to obtain the emergency routes for each service personnel to reach the user's residential address from their current location.

[0018] The emergency route is the optimal route for service personnel to reach the user's residential address, and the emergency route can be dynamically updated according to changes in traffic conditions.

[0019] Among them, the electronic map is an electronic navigation map that supports real-time traffic data updates, and the route calculation combines real-time traffic conditions, road conditions, and community access restrictions.

[0020] As a further improvement to this technical solution, in step S3, the user's real-time physiological data is compared with an abnormal threshold.

[0021] When real-time physiological data exceeds the abnormal threshold, it is determined that the user's physiological condition is abnormal;

[0022] Conversely, if the real-time physiological data does not exceed the abnormal threshold, the user is determined to be normal.

[0023] Different emergency levels are set, and the emergency level is determined based on the extent to which real-time physiological data exceeds the abnormal threshold. At the same time, different emergency levels correspond to different qualification data requirements and emergency path time requirements.

[0024] As a further improvement to this technical solution, in S3, the smart wearable device and the door lock establish a data connection through wireless communication. The temporary door opening password is a time-limited one-time password that is uniquely bound to this emergency event, and the validity period of the temporary door opening password can be remotely configured.

[0025] Based on the comparison results, the corresponding emergency level is activated. At the same time, the qualification data and emergency routes of service personnel in the service personnel database are double-screened according to the activated emergency level. First, service personnel with corresponding qualification data requirements are matched according to the emergency level. Then, service personnel whose expected arrival time of the emergency route is within the time requirement of the emergency route are screened. Service personnel who meet the requirements of the emergency level are those who meet both the qualification data requirements and the emergency route time requirements.

[0026] Among these measures, the service personnel's service qualification data will be compared with the emergency response time requirements, and those service personnel who pass the comparison will be retained.

[0027] The emergency route taken by service personnel from their current location to the user's residential address is compared with the qualification data requirements, and service personnel who pass the comparison are retained.

[0028] As a further improvement to this technical solution, in S4, reward orders are pushed to the service personnel reserved in S3 according to the priority of the expected arrival time of the emergency path from shortest to longest.

[0029] The reward orders include the user's location information and the time limit for completion;

[0030] Record the door lock opening and closing times. Service personnel wear video recording devices during emergency services. The opening and closing times are used as the required time periods for extracting emergency service video from the video recording devices.

[0031] Independent rescue task analysis is performed on emergency service videos. By using image recognition, human behavior analysis, and action feature extraction algorithms, the on-site handling behavior of service personnel is extracted from the emergency service videos and divided into multiple independent rescue tasks according to the type of handling behavior and operation process.

[0032] According to the implementation time nodes of each rescue task, the emergency service video is divided into video segments of corresponding duration, so that each independent rescue task is associated with the corresponding video segment.

[0033] As a further improvement to this technical solution, in S5, a corresponding service scoring standard is set for each rescue task, wherein the service scoring standard includes three scoring dimensions: operational standardization, timeliness of treatment, and task completion.

[0034] Video analytics technology is used to quantify and score each dimension to obtain a single score for each rescue task. Then, weighting coefficients are assigned according to the importance of each rescue task in this emergency response, and a comprehensive service score for service personnel is obtained through weighted calculation.

[0035] Establish a calculation rule that links service rating with reward amount. The higher the overall service rating, the higher the floating reward amount. When the rating is lower than a preset threshold, a corresponding percentage of the base reward amount will be deducted.

[0036] Based on the reward amount calculated according to the association calculation rules and the comprehensive service score, the funds corresponding to the reward amount are transferred from the user's fund account to the service personnel's receiving account. After the transfer is completed, a settlement record is generated and saved.

[0037] Based on the changing patterns of users' real-time physiological data during this emergency, the correlation between abnormal physiological indicators and the handling results, and combined with users' historical physiological data, the abnormal threshold set for S1 was optimized and adjusted. At the same time, based on the comprehensive service score of this emergency response, the emergency level classification standards for S3, the qualification data requirements for each level, and the emergency path time requirements were dynamically updated.

[0038] The second objective of this invention is to provide an emergency service system that links a smart wearable device with a door lock, including any one of the above-mentioned emergency service methods that link a smart wearable device with a door lock, comprising a physiological data acquisition unit, an emergency path calculation unit, a service personnel screening unit, an emergency video analysis unit, and a service settlement unit.

[0039] The physiological data acquisition unit is used to collect the user's historical and real-time physiological data through a smart wearable device, and at the same time obtain the user's medical records. Based on the user's historical physiological data and medical records, abnormal thresholds for the user's physiological indicators are set.

[0040] The emergency route calculation unit is used to establish a service personnel database, collect the location of service personnel and users in the database, and combine the location information of service personnel and users with the electronic map to calculate the route and obtain the emergency route for each service personnel to reach the user's residential address from the current location.

[0041] The service personnel screening unit is used to compare the user's real-time physiological data with the abnormal threshold, activate the corresponding emergency level according to the comparison result, send control commands to the smart door lock through the smart wearable device, trigger the smart door lock to generate a temporary door opening password, and at the same time perform dual screening of the service personnel qualification data and emergency routes in the service personnel database according to the activated emergency level, retaining service personnel who meet the emergency level requirements.

[0042] The emergency video analysis unit is used to dynamically issue reward orders for service personnel retained by the service personnel screening unit according to the emergency path. At the same time, it extracts emergency service videos of service personnel based on the door lock opening and closing time, performs independent rescue task analysis based on the emergency service videos, and segments and matches the corresponding emergency service videos based on the independent rescue tasks obtained from the analysis.

[0043] The service settlement unit is used to score the service based on the emergency service video corresponding to each rescue task, calculate the reward amount based on the service score, and settle the reward order with the service personnel based on the calculated reward amount, while simultaneously updating the user's abnormal threshold and emergency level.

[0044] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0045] 1. An emergency service method and system that links smart wearable devices with door locks, which establishes a standardized service personnel database and uses BeiDou positioning to achieve accurate location collection of service personnel and users. It calculates the optimal emergency route by combining real-time traffic, road access, and community access restrictions, and supports dynamic route updates. At the same time, it divides emergency levels into multiple levels based on the magnitude of physiological abnormalities, and matches corresponding service personnel qualification requirements and route time requirements for different levels. Through a dual screening mechanism of qualification first and route second, it retains qualified service personnel, replacing the single distance-first matching principle in the existing technology. This not only ensures the professional handling capabilities of service personnel, but also ensures that service personnel can arrive at the scene within the emergency time limit. It effectively solves the problems of unprofessional service personnel matching and untimely response in the existing technology, and improves the professionalism and timeliness of emergency response.

[0046] 2. An emergency service method and system that links smart wearable devices with door locks, which realizes wireless communication linkage between smart wearable devices and smart door locks, generates a unique, time-limited, one-time temporary door opening password for each emergency event, the password validity period can be remotely configured by relatives and automatically expires after use, and at the same time the smart door lock records the unlocking time and personnel information in real time and synchronizes it to the relatives' terminals, which not only solves the problem of safe and convenient entry for external service personnel, but also avoids the home security risks caused by fixed passwords or long-term authorization, and achieves a precise balance between the convenience of emergency response and the safety of elderly people living at home, filling the technical gap of the lack of linkage between smart door locks and emergency services in the existing technology.

[0047] 3. An emergency service method and system that links smart wearable devices with door locks. This method defines the extraction range of emergency service videos by controlling the opening and closing times of the smart door lock. Combined with a camera worn by service personnel, it achieves full-process visual recording of the handling process. Then, through image recognition and behavior analysis algorithms, the handling process is broken down into independent rescue tasks, and video segments are accurately associated with these tasks. Based on this, a three-dimensional quantitative scoring standard is established, including operational standardization, timeliness of handling, and task completion. A comprehensive service score is calculated by weighting the score according to the importance of the task, and a settlement rule is established linking the score to the reward amount. This achieves traceability of the service process, objective quantitative evaluation of service quality, and fair settlement of the reward amount. It protects the legitimate rights and interests of both relatives and service personnel, and improves the quality of service personnel's handling services through an incentive and constraint mechanism of rewarding high-quality service and deducting rewards for poor service. This solves the problems of lack of process traceability, objective evaluation, and unfair settlement in existing emergency services. Attached Figure Description

[0048] Figure 1 This is a flowchart illustrating an emergency service method for linking a smart wearable device with a door lock according to the present invention.

[0049] Figure 2 This is a flowchart of S1 of the present invention;

[0050] Figure 3 This is a flowchart of S2 of the present invention;

[0051] Figure 4 This is a flowchart of S3 of the present invention;

[0052] Figure 5 This is a flowchart of S4 of the present invention;

[0053] Figure 6 This is a flowchart of S5 of the present invention. Detailed Implementation

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] like Figures 1-6 As shown, one of the objectives of this invention is to provide an emergency service method that links a smart wearable device with a door lock, comprising the following steps:

[0056] S1. Collect users' historical and real-time physiological data through smart wearable devices, and obtain users' medical records. Set abnormal thresholds for users' physiological indicators based on users' historical physiological data and medical records. By collecting users' physiological data and combining it with medical records to set personalized thresholds, the problem of poor adaptability of traditional fixed thresholds is solved, and a precise basis for subsequent emergency level activation is provided.

[0057] In S1, the smart wearable device is a smartwatch adapted to the operating habits of the elderly.

[0058] The physiological sensors equipped with smart wearable devices collect physiological data (heart rate, blood pressure, blood oxygen saturation, sleep respiratory rate, etc.) from users, and divide the collected physiological data into historical physiological data and real-time physiological data according to the collection time.

[0059] The smartwatch's backend system automatically categorizes the collected physiological data into two data pools based on the data collection time point. The categorization rules are as follows:

[0060] Historical physiological data refers to past physiological data collected earlier than the current time and stored in the cloud / local storage, which is a continuous data sequence accumulated over a long period of time.

[0061] Real-time physiological data: the latest physiological data collected within a preset short time window (e.g., 5 minutes / 10 minutes, which can be adapted to the physiological characteristics of the elderly) before the current time point, which is dynamically updated real-time data;

[0062] In S1, users input medical records into smart wearable devices;

[0063] Users input medical records into their smartwatches. The input information serves as a reference for setting subsequent thresholds and includes two categories: age and underlying medical history (such as confirmed medical history of hypertension, diabetes, heart disease, etc.).

[0064] Abnormal thresholds for physiological indicators were set based on the patient's age, underlying medical history, and the fluctuation patterns of historical physiological data.

[0065] Based on the entered case information and classified historical physiological data, the data analysis model sets personalized abnormal thresholds for each physiological indicator of the user. It sets exclusive threshold ranges for a single indicator and does not use general fixed thresholds to ensure that it is adapted to the individual physiological characteristics of the user.

[0066] S2. Establish a service personnel database, collect the locations of service personnel and users in the database, and combine the location information of service personnel and users with electronic maps to calculate routes and obtain emergency routes for each service personnel to reach the user's residential address from their current location; establish a standardized service personnel database and calculate the optimal emergency routes to provide resources and route basis for subsequent service personnel screening and order push, and ensure the response efficiency of emergency services.

[0067] In S2, a service personnel database is established, and the identity information and service qualification data of the service personnel are set in the service personnel database.

[0068] Service qualification data includes emergency service-related qualifications (such as first aid certificates, elderly care qualifications, medical and nursing practice certificates, etc.), qualification validity period, and service skill labels (such as basic first aid for the elderly, chronic disease care, etc.).

[0069] The BeiDou positioning system is used to collect the location information of service personnel and users from the service personnel database, thereby obtaining the location information of service personnel and users.

[0070] Service personnel are linked to their mobile devices to collect location information in real time.

[0071] Users can bind their smartwatches / home positioning devices to collect the precise location (latitude and longitude) of their residential addresses. Once the location information is collected, it will only be manually updated when the user's residential address changes, thus avoiding frequent data collection that consumes more power.

[0072] By combining the location information of service personnel and users with the location information of users on an electronic map, route calculations are performed to obtain the emergency routes for each service personnel to reach the user's residential address from their current location.

[0073] Import the location information of service personnel and users into an electronic navigation map that supports real-time traffic updates, and calculate the optimal emergency route based on multi-dimensional constraints. The steps are as follows:

[0074] Based on electronic map road network data, all feasible travel routes from service personnel to user addresses are selected.

[0075] We assign weights to three categories of factors: real-time traffic conditions, road access conditions, and community access restrictions (the optimal weight ratio verified by actual testing), then calculate the overall time of each feasible path, and select the path with the shortest overall time as the emergency path.

[0076] The emergency route is the optimal route for service personnel to reach the user's residential address, and the emergency route can be dynamically updated according to changes in traffic conditions.

[0077] Among them, the electronic map is an electronic navigation map that supports real-time traffic data updates, and the route calculation combines real-time traffic conditions, road conditions, and community access restrictions.

[0078] S3. Compare the user's real-time physiological data with abnormal thresholds. Based on the comparison results, activate the corresponding emergency level. Send control commands to the smart lock via smart wearable devices to trigger the smart lock to generate a temporary unlocking password. Simultaneously, based on the activated emergency level, perform a dual screening of service personnel qualification data and emergency routes in the service personnel database, retaining service personnel who meet the emergency level requirements. By activating the corresponding emergency level through threshold comparison, and simultaneously completing the generation of the smart lock's temporary password and the accurate screening of service personnel, the professionalism and timeliness of emergency services are ensured.

[0079] In S3, the user's real-time physiological data is compared with the abnormal threshold;

[0080] When real-time physiological data exceeds the abnormal threshold, it is determined that the user's physiological condition is abnormal;

[0081] Conversely, if the real-time physiological data does not exceed the abnormal threshold, the user is determined to be normal.

[0082] Different emergency levels are set, and the emergency level is determined based on the extent to which real-time physiological data exceeds the abnormal threshold. At the same time, different emergency levels correspond to different qualification data requirements and emergency path time requirements.

[0083] Grade I mild abnormality, exceeding the limit by ≤20% (e.g., heart rate exceeding the upper limit by 10%).

[0084] Grade II moderate abnormality, 20% < exceedance range ≤ 50%;

[0085] Grade III severe abnormality, exceeding the allowable range by more than 50%;

[0086] In S3, smart wearable devices and door locks establish a data connection through wireless communication. The temporary door opening password is a time-limited one-time password that is uniquely bound to this emergency event, and the validity period of the temporary door opening password can be remotely configured.

[0087] The smart wearable device and the smart door lock establish a connection through Bluetooth + NB-IoT dual wireless communication. After receiving the instruction from the wearable device, the door lock generates a one-time temporary password that is uniquely bound to this emergency. The password validity period can be remotely configured by relatives (30 minutes by default for Level I, 60 minutes by default for Level II, and 120 minutes by default for Level III, which can be manually adjusted).

[0088] Based on the comparison results, the corresponding emergency level is activated. At the same time, the qualification data and emergency routes of service personnel in the service personnel database are double-screened according to the activated emergency level. First, service personnel with corresponding qualification data requirements are matched according to the emergency level. Then, service personnel whose expected arrival time of the emergency route is within the time requirement of the emergency route are screened. Service personnel who meet the requirements of the emergency level are those who meet both the qualification data requirements and the emergency route time requirements.

[0089] Among these measures, the service personnel's service qualification data will be compared with the emergency response time requirements, and those service personnel who pass the comparison will be retained.

[0090] Retrieve qualification data from the service personnel database and match it with the qualification requirements corresponding to the current emergency level (e.g., Level I matches basic elderly care qualification, Level II matches emergency responder qualification, and Level III matches medical and nursing qualification), and retain the service personnel whose qualifications match.

[0091] The emergency route taken by service personnel from their current location to the user's residential address is compared with the qualification data requirements, and service personnel who pass the comparison are retained.

[0092] For service personnel who have passed the qualification screening, retrieve their estimated arrival time for emergency routes and compare it with the route time requirements corresponding to the current emergency level (Level I ≤ 30 minutes, Level II ≤ 20 minutes, Level III ≤ 10 minutes). Service personnel whose estimated arrival time is ≤ Level time requirement are retained.

[0093] S4. For the service personnel retained in S3, reward orders are dynamically issued according to the emergency route. At the same time, emergency service videos of the service personnel are extracted based on the door lock opening and closing time. Independent rescue tasks are analyzed based on the emergency service videos, and corresponding emergency service videos are segmented and matched based on the independent rescue tasks obtained from the analysis. Through video extraction and task segmentation and matching, the emergency response process is made visible and traceable, providing an objective and accurate basis for subsequent service scoring.

[0094] In S4, reward orders are pushed to the service personnel retained in S3 according to the priority of the expected arrival time of the emergency route from shortest to longest.

[0095] The reward orders include the user's location information and the time limit for completion;

[0096] From the S3 screening results, retrieve the list of qualified service personnel and their estimated arrival times for their respective emergency routes. Sort the service personnel in descending order of estimated arrival time (the shorter the estimated arrival time, the higher the priority).

[0097] Record the door lock opening and closing times. Service personnel wear video recording devices during emergency services. The opening and closing times are used as the required time periods for extracting emergency service video from the video recording devices.

[0098] The smart door lock has a built-in time sensor that records the opening and closing times of service personnel in real time. After receiving an order, the service personnel wear a high-definition anti-shake camera and start the automatic recording mode. The complete video within the time interval is extracted from the camera or cloud storage based on the opening and closing times. This video is used as the traceability data for this emergency service. The extraction process is executed automatically without human intervention.

[0099] Independent rescue task analysis is performed on emergency service videos. Through image recognition, human behavior analysis, and action feature extraction algorithms, the on-site handling behaviors of service personnel (such as blood pressure measurement, cardiopulmonary resuscitation, medication administration, contacting the emergency center, etc.) are extracted from the emergency service videos. Based on the type of handling behavior and the operation process, the videos are divided into multiple independent rescue tasks (such as basic vital sign monitoring, emergency medication administration, emergency telephone contact, etc.).

[0100] Based on the implementation timeline of each rescue mission, the emergency service video is divided into video segments of corresponding durations, linking each independent rescue mission with its corresponding video segment. The segments are non-overlapping and cover all rescue missions.

[0101] S5. Service scores are generated based on the emergency service videos corresponding to each rescue mission. Reward amounts are calculated based on these scores, and the service personnel are paid their rewards accordingly. Simultaneously, the user's anomaly thresholds and emergency levels are updated. This closed-loop process ensures fair settlement for service personnel and updates system parameters using emergency data, enabling the entire system to have self-iterative and self-optimizing capabilities.

[0102] In S5, a corresponding service scoring standard is set for each rescue task. The service scoring standard includes three scoring dimensions: operational standardization (evaluating whether the service personnel's actions comply with industry standards), timeliness of treatment (evaluating whether the service personnel complete the task within the preset time limit), and task completion (evaluating whether the task is fully executed without missing any key steps).

[0103] The scoring rules for all dimensions are uniformly set on a 0-100 point scale;

[0104] Video analytics technology is used to quantify and score each dimension, resulting in a single score for each rescue task. Weighting coefficients are then assigned based on the importance of each task in the emergency response, and a weighted average is calculated to obtain the overall service score for the service personnel. The formula is as follows:

[0105] ;

[0106] in, Let the average score of the dimensions of the j-th rescue task be . For the j-th task, score the standardization of operation. For the timeliness of handling the j-th task, a single score is given. The task completion score for the j-th task is given individually.

[0107] ;

[0108] in, For comprehensive service scoring, n represents the total number of independent treatment tasks. Let be the weight coefficient for the j-th task;

[0109] Establish a calculation rule that links service rating with reward amount. The higher the overall service rating, the higher the floating reward amount. When the rating is lower than a preset threshold, a corresponding percentage of the base reward amount will be deducted.

[0110] Set a base reward amount plus floating rewards / deductions. The higher the overall score, the higher the floating reward; if the score is below the threshold (e.g., 60 points), the base amount will be deducted proportionally.

[0111] Based on the reward amount calculated according to the association calculation rules and the comprehensive service score, the funds corresponding to the reward amount are transferred from the user's fund account to the service personnel's receiving account. After the transfer is completed, a settlement record is generated and saved.

[0112] Based on the changing patterns of users' real-time physiological data during this emergency, the correlation between abnormal physiological indicators and the handling results, and combined with users' historical physiological data, the abnormal threshold set for S1 was optimized and adjusted. Simultaneously, based on the comprehensive service score of this emergency response, the emergency level classification standards for S3, the qualification data requirements for each level, and the emergency path time requirements were dynamically updated, as shown in the following formula:

[0113] ;

[0114] ;

[0115] in, This is the updated upper limit of the anomaly threshold. This is the updated lower limit of the anomaly threshold. The upper limit of the anomaly threshold before the update. This is the lower limit of the abnormal threshold before the update. To adjust the coefficient to 0.1 and avoid sudden threshold changes, This refers to the abnormal range of physiological indicators in this case. This represents the average historical anomaly magnitude.

[0116] The second objective of this invention is to provide an emergency service system that links a smart wearable device with a door lock, including any one of the above-mentioned emergency service methods that link a smart wearable device with a door lock, comprising a physiological data acquisition unit, an emergency path calculation unit, a service personnel screening unit, an emergency video analysis unit, and a service settlement unit.

[0117] The physiological data acquisition unit is used to collect the user's historical and real-time physiological data through smart wearable devices, and at the same time obtain the user's medical records. Based on the user's historical physiological data and medical records, abnormal thresholds for the user's physiological indicators are set.

[0118] The emergency route calculation unit is used to establish a service personnel database, collect the locations of service personnel and users in the database, and combine the location information of service personnel and users with the electronic map to calculate the route and obtain the emergency route for each service personnel to reach the user's residential address from the current location.

[0119] The service personnel screening unit is used to compare the user's real-time physiological data with abnormal thresholds. Based on the comparison results, the corresponding emergency level is activated. Control commands are sent to the smart door lock through the smart wearable device to trigger the smart door lock to generate a temporary door opening password. At the same time, the service personnel qualification data and emergency routes in the service personnel database are screened based on the activated emergency level to retain service personnel who meet the emergency level requirements.

[0120] The emergency video analysis unit is used to dynamically issue reward orders based on emergency routes for service personnel retained by the service personnel screening unit. At the same time, it extracts emergency service videos of service personnel based on the door lock opening and closing time, performs independent rescue task analysis based on the emergency service videos, and segments and matches the corresponding emergency service videos based on the independent rescue tasks obtained from the analysis.

[0121] The service settlement unit is used to score the service based on the emergency service video corresponding to each rescue task, calculate the reward amount based on the service score, and settle the reward order with the service personnel based on the calculated reward amount. At the same time, it updates the user's abnormal threshold and emergency level.

[0122] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. An emergency service method that links a smart wearable device with a door lock, characterized in that: Includes the following steps: S1. Collect users' historical and real-time physiological data through smart wearable devices, and obtain users' medical records. Set abnormal thresholds for users' physiological indicators based on users' historical physiological data and medical records. S2. Establish a service personnel database, collect the location data of service personnel and users in the database, and combine the location information of service personnel and users with the electronic map to calculate the route and obtain the emergency route for each service personnel to reach the user's residential address from the current location. S3. Compare the user's real-time physiological data with the abnormal threshold, activate the corresponding emergency level according to the comparison result, send the control command to the smart door lock through the smart wearable device, trigger the smart door lock to generate a temporary door opening password, and at the same time, perform dual screening of the service personnel qualification data and emergency path in the service personnel database according to the activated emergency level, and retain the service personnel who meet the emergency level requirements. S4. For the service personnel retained in S3, reward orders are dynamically issued according to the emergency route. At the same time, emergency service videos of the service personnel are extracted based on the door lock opening and closing time. Independent rescue tasks are analyzed based on the emergency service videos, and corresponding emergency service videos are segmented and matched based on the independent rescue tasks obtained from the analysis. S5. Calculate service scores based on the emergency service videos corresponding to each rescue mission, calculate the reward amount based on the service scores, and settle reward orders with service personnel based on the calculated reward amount. Simultaneously update the user's abnormal threshold and emergency level.

2. The emergency service method for linking a smart wearable device with a door lock according to claim 1, characterized in that: In S1, the smart wearable device is a smartwatch adapted to the operating habits of the elderly. The physiological data of users is collected by the physiological sensors equipped in smart wearable devices, and the collected physiological data is divided into historical physiological data and real-time physiological data according to the collection time.

3. The emergency service method for linking a smart wearable device with a door lock according to claim 1, characterized in that: In step S1, the user inputs medical information into a smart wearable device; Abnormal thresholds for physiological indicators were set based on the patient's age, underlying medical history, and the fluctuation patterns of historical physiological data.

4. The emergency service method for linking a smart wearable device with a door lock according to claim 1, characterized in that: In step S2, a service personnel database is established, and the service personnel's identity information and service qualification data are set in the service personnel database. The BeiDou positioning system is used to collect the location information of service personnel and users from the service personnel database, thereby obtaining the location information of service personnel and users. By combining the location information of service personnel and users with the location information of users on an electronic map, route calculations are performed to obtain the emergency routes for each service personnel to reach the user's residential address from their current location. The emergency route is the optimal route for service personnel to reach the user's residential address, and the emergency route can be dynamically updated according to changes in traffic conditions. Among them, the electronic map is an electronic navigation map that supports real-time traffic data updates, and the route calculation combines real-time traffic conditions, road conditions, and community access restrictions.

5. The emergency service method for linking a smart wearable device with a door lock according to claim 1, characterized in that: In step S3, the user's real-time physiological data is compared with the abnormal threshold. When real-time physiological data exceeds the abnormal threshold, it is determined that the user's physiological condition is abnormal; Conversely, if the real-time physiological data does not exceed the abnormal threshold, the user is determined to be normal. Different emergency levels are set, and the emergency level is determined based on the extent to which real-time physiological data exceeds the abnormal threshold. At the same time, different emergency levels correspond to different qualification data requirements and emergency path time requirements.

6. The emergency service method for linking a smart wearable device with a door lock according to claim 1, characterized in that: In S3, the smart wearable device and the door lock establish a data connection through wireless communication. The temporary door opening password is a time-limited one-time password that is uniquely bound to this emergency event, and the validity period of the temporary door opening password can be remotely configured. Based on the comparison results, the corresponding emergency level is activated. At the same time, the qualification data and emergency routes of service personnel in the service personnel database are double-screened according to the activated emergency level. First, service personnel with corresponding qualification data requirements are matched according to the emergency level. Then, service personnel whose expected arrival time of the emergency route is within the time requirement of the emergency route are screened. Service personnel who meet the requirements of the emergency level are those who meet both the qualification data requirements and the emergency route time requirements. Among these measures, the service personnel's service qualification data will be compared with the emergency response time requirements, and those service personnel who pass the comparison will be retained. The emergency route taken by service personnel from their current location to the user's residential address is compared with the qualification data requirements, and service personnel who pass the comparison are retained.

7. The emergency service method for linking a smart wearable device with a door lock according to claim 1, characterized in that: In S4, reward orders are pushed to the service personnel reserved in S3 according to the priority of the expected arrival time of the emergency route from shortest to longest. The reward orders include the user's location information and the time limit for completion; Record the door lock opening and closing times. Service personnel wear video recording devices during emergency services. The opening and closing times are used as the required time periods for extracting emergency service video from the video recording devices. Independent rescue task analysis is performed on emergency service videos. By using image recognition, human behavior analysis, and action feature extraction algorithms, the on-site handling behavior of service personnel is extracted from the emergency service videos and divided into multiple independent rescue tasks according to the type of handling behavior and operation process. According to the implementation time nodes of each rescue task, the emergency service video is divided into video segments of corresponding duration, so that each independent rescue task is associated with the corresponding video segment.

8. The emergency service method for linking a smart wearable device with a door lock according to claim 1, characterized in that: In S5, a corresponding service scoring standard is set for each treatment task. The service scoring standard includes three scoring dimensions: operational standardization, timeliness of treatment, and task completion. Video analytics technology is used to quantify and score each dimension to obtain a single score for each rescue task. Then, weighting coefficients are assigned according to the importance of each rescue task in this emergency response, and a comprehensive service score for service personnel is obtained through weighted calculation. Establish a calculation rule that links service rating with reward amount. The higher the overall service rating, the higher the floating reward amount. When the rating is lower than a preset threshold, a corresponding percentage of the base reward amount will be deducted. Based on the reward amount calculated according to the association calculation rules and the comprehensive service score, the funds corresponding to the reward amount are transferred from the user's fund account to the service personnel's receiving account. After the transfer is completed, a settlement record is generated and saved. Based on the changing patterns of users' real-time physiological data during this emergency, the correlation between abnormal physiological indicators and the handling results, and combined with users' historical physiological data, the abnormal threshold set for S1 was optimized and adjusted. At the same time, based on the comprehensive service score of this emergency response, the emergency level classification standards for S3, the qualification data requirements for each level, and the emergency path time requirements were dynamically updated.

9. An emergency service system linking a smart wearable device with a door lock, used to implement the emergency service method linking a smart wearable device with a door lock as described in any one of claims 1-8, characterized in that: It includes a physiological data acquisition unit, an emergency route calculation unit, a service personnel screening unit, an emergency video analysis unit, and a service settlement unit; The physiological data acquisition unit is used to collect the user's historical and real-time physiological data through a smart wearable device, and at the same time obtain the user's medical records. Based on the user's historical physiological data and medical records, abnormal thresholds for the user's physiological indicators are set. The emergency route calculation unit is used to establish a service personnel database, collect the location of service personnel and users in the database, and combine the location information of service personnel and users with the electronic map to calculate the route and obtain the emergency route for each service personnel to reach the user's residential address from the current location. The service personnel screening unit is used to compare the user's real-time physiological data with the abnormal threshold, activate the corresponding emergency level according to the comparison result, send control commands to the smart door lock through the smart wearable device, trigger the smart door lock to generate a temporary door opening password, and at the same time perform dual screening of the service personnel qualification data and emergency routes in the service personnel database according to the activated emergency level, retaining service personnel who meet the emergency level requirements. The emergency video analysis unit is used to dynamically issue reward orders for service personnel retained by the service personnel screening unit according to the emergency path. At the same time, it extracts emergency service videos of service personnel based on the door lock opening and closing time, performs independent rescue task analysis based on the emergency service videos, and segments and matches the corresponding emergency service videos based on the independent rescue tasks obtained from the analysis. The service settlement unit is used to score the service based on the emergency service video corresponding to each rescue task, calculate the reward amount based on the service score, and settle the reward order with the service personnel based on the calculated reward amount, while simultaneously updating the user's abnormal threshold and emergency level.

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