Method and system for monitoring information of on-site performance of child emergency transport based on edge network

Abstract

The present application relates to the field of on-site monitoring technology, in particular to a monitoring method and system for on-site execution information of child first aid transfer based on edge network, comprising: controlling a first monitoring terminal to collect first vital sign data of a target child in a first aid site and on-site video of the first aid site; the first vital sign data includes heart rate, blood oxygen and respiratory rate; uploading the first vital sign data and the on-site video to an edge computing node, so that the edge computing node generates a first aid priority label according to the first vital sign data, and determines a video transmission strategy according to the first aid priority label; the present application collects the vital sign data and the on-site video of the target child in real time through the control of the first monitoring terminal, and uploads them to the edge computing node, so as to ensure that the first aid personnel can obtain the key physiological information and the on-site situation in time, and improve the timeliness of the first aid decision.

Description

Technical Field

[0001] This invention relates to the field of on-site monitoring technology, specifically to a method and system for monitoring on-site execution information of child emergency transport based on edge networks. Background Technology

[0002] Currently, traditional methods typically rely on manual recording or intermittent data collection, which prevents emergency responders from obtaining real-time vital signs data and on-site conditions of the target child, thus delaying the timeliness of emergency decisions. Moreover, traditional emergency care lacks a systematic priority assessment mechanism, and emergency responders often need to rely on experience to judge the urgency of the case, which may result in an insufficiently rapid response to critically ill patients and affect the rational allocation of emergency resources.

[0003] Furthermore, traditional methods rely heavily on video transmission, but video quality often deteriorates significantly or even drops when network conditions are poor. This affects the effectiveness of remote guidance and decision-making. In addition, traditional emergency transport often lacks real-time geographic location information analysis, leading to inefficiency in emergency vehicle route selection, increased transport time, and thus delays in treatment. Moreover, in traditional methods, the monitoring of emergency supplies is mostly done manually, which cannot achieve real-time monitoring and is prone to shortages or misuse of supplies. In addition, the security of supplies lacks effective guarantees and is easily stolen or misused. Summary of the Invention

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method for monitoring on-site execution information of pediatric emergency transport based on edge networks, comprising: The system controls the first monitoring terminal to collect the target child's vital signs data and on-site video of the emergency scene; the first vital signs data includes heart rate, blood oxygen saturation, and respiratory rate; The first vital signs data and the on-site video are uploaded to the edge computing node, so that the edge computing node generates an emergency priority tag based on the first vital signs data and determines the video transmission strategy based on the emergency priority tag. Obtain the video transmission strategy and emergency rescue priority label fed back by the edge computing node; The on-site video is compressed and encoded according to the video transmission strategy to obtain the target video stream; The target video stream and the emergency priority tag are sent to the second monitoring terminal of the emergency transport vehicle. The second monitoring terminal of the emergency transport vehicle decodes the target video stream according to the emergency priority tag and displays emergency guidance information. It also controls the emergency transport vehicle to generate a suggested driving route based on the emergency priority tag, determines the route deviation between the suggested driving route and the actual driving route, merges the route deviation and the emergency priority tag to obtain an updated emergency priority tag, and updates the emergency guidance information according to the updated emergency priority tag and the target video stream.

[0005] Preferably, the first vital signs data and the on-site video are uploaded to an edge computing node, so that the edge computing node generates an emergency priority label based on the first vital signs data, including: The first monitoring terminal is controlled to continuously collect vital sign change data of the target child; When the changes in vital signs exceed a preset fluctuation threshold, the high-priority computing mode of the edge computing node is triggered. Obtain the emergency priority label generated by the edge computing node based on the high-priority computing mode; wherein the emergency priority label is used to characterize the severity of the critical condition of the target child.

[0006] Preferably, the first monitoring terminal is controlled to collect the target child's vital signs data and on-site video of the emergency scene, including: The system acquires physiological signals collected by wearable devices deployed at the emergency scene, and determines the primary vital signs data of the target child based on the physiological signals; wherein the wearable devices are worn on the target child's body. Control the panoramic camera installed at the emergency scene to collect on-site video, and identify the actions of emergency personnel in the on-site video; Uploading the first vital sign data and the on-site video to the edge computing node includes: The first vital signs data, the on-site video, and the actions of the emergency responders are uploaded to the edge computing node so that the edge computing node can correct the emergency priority label based on the actions of the emergency responders.

[0007] Preferably, the first monitoring terminal is equipped with a positioning module. After the method controls the first monitoring terminal to collect the first vital signs data of the target child at the emergency scene and the on-site video of the emergency scene, the method further includes: The positioning module is controlled to collect the first geographical location information of the first monitoring terminal; Bind the first geographical location information with the first vital sign data; The step of sending the target video stream and the emergency priority tag to the second monitoring terminal of the emergency transport vehicle includes: The target video stream, the emergency priority tag, and the first geographical location information are sent to the second monitoring terminal of the emergency transport vehicle, so that the second monitoring terminal of the emergency transport vehicle can plan the connection route based on the first geographical location information.

[0008] Preferably, before sending the target video stream and the emergency priority tag to the second monitoring terminal of the emergency transport vehicle, the method further includes: Send a network quality detection request to the edge computing node; Receive the current network bandwidth information fed back by the edge computing node; The second monitoring terminal that sends the target video stream and the emergency priority tag to the emergency transport vehicle further includes: The bitrate of the target video stream is adjusted according to the current network bandwidth information, and the adjusted target video stream and the emergency priority tag are sent to the second monitoring terminal of the emergency transport vehicle.

[0009] Preferably, the first-aid backpack corresponding to the first monitoring terminal is located at the emergency scene; correspondingly, after controlling the first monitoring terminal to collect the first vital signs data of the target child at the emergency scene and the on-site video of the emergency scene, the method further includes: The first monitoring terminal is controlled to identify the usage of emergency supplies based on the on-site video. If the emergency supplies are less than a preset threshold, the first monitoring terminal is controlled to issue a supply replenishment prompt. The first monitoring terminal is controlled to monitor the opening status of the first aid backpack. If the first aid backpack is in an unauthorized open state, the first monitoring terminal is controlled to send an alarm message to the edge computing node.

[0010] Preferably, after sending the target video stream and the emergency priority tag to the second monitoring terminal of the emergency transport vehicle, the method further includes: Acquire on-site updated video streams captured by a second camera during emergency transport; The second vital signs of the child during transport are extracted from the on-site updated video stream, and the corresponding second status information is identified. The second vital signs include the child's second heart rate, second respiratory rate, second facial color, and crying characteristics. The second status information includes the second position of the stretcher, the second connection status of the monitor, and the speed of the transport vehicle. The second vital signs and the second status information are uploaded to the edge computing node, so that the edge computing node can perform weighted analysis on the second vital signs and the second status information based on the emergency rescue priority label to generate a risk warning index.

[0011] Preferably, after uploading the second vital sign characteristics and the second status information to the edge computing node, the method further includes: The edge computing node receives historical matching results; the historical matching results are determined by the edge computing node querying the database for first state information similar to the second state information, calculating the first matching degree between the first vital sign feature corresponding to the identified first state information and the second vital sign feature, and calculating the second matching degree between the generation time of the on-site video stream corresponding to the identified first state information and the emotional stability duration corresponding to the crying feature. Based on the historical matching results and the risk warning index, the emergency medical treatment status of the child during transport is determined.

[0012] Preferably, based on the historical matching results and the risk warning index, the emergency medical treatment status of the child during transport is determined, including: When the confidence level of the identified second status information exceeds the preset first confidence threshold, and the completeness of the second status information exceeds the first completion threshold, the second status information is used as the emergency response status of the child during the transport. When the confidence level of the identified second status information does not exceed the preset first confidence level threshold, or the completeness of the second status information does not exceed the first completion level threshold, the execution strategy corresponding to the first status information with the highest first matching degree and second matching degree in the historical matching results is taken as the emergency execution status. After determining the emergency medical status of the child during transport, the method further includes: The emergency response status is sent to the second monitoring terminal of the emergency transport vehicle; The second monitoring terminal is controlled to update the emergency guidance information according to the emergency execution status, and the emergency transport vehicle is controlled to adjust its driving speed or route according to the emergency execution status until it reaches the target hospital.

[0013] A monitoring system for on-site execution information of pediatric emergency transport based on edge networks, applicable to the aforementioned monitoring method for on-site execution information of pediatric emergency transport based on edge networks, including: The data monitoring unit is configured to control the first monitoring terminal to collect the first vital signs data of the target child at the emergency scene and the on-site video of the emergency scene; the first vital signs data includes heart rate, blood oxygen saturation, and respiratory rate; An edge computing unit is configured to upload the first vital signs data and the on-site video to an edge computing node, so that the edge computing node generates an emergency priority tag based on the first vital signs data and determines a video transmission strategy based on the emergency priority tag. The strategy acquisition unit is configured to acquire the video transmission strategy and emergency rescue priority label fed back by the edge computing node; The video compression unit is configured to compress and encode the on-site video according to the video transmission strategy to obtain a target video stream; The on-site execution unit is configured to send the target video stream and the emergency priority tag to the second monitoring terminal of the emergency transport vehicle, so that the second monitoring terminal of the emergency transport vehicle decodes the target video stream according to the emergency priority tag and displays emergency guidance information, and controls the emergency transport vehicle to generate a suggested driving route according to the emergency priority tag, determines the route deviation between the suggested driving route and the actual driving route, merges the route deviation and the emergency priority tag to obtain an updated emergency priority tag, and updates the emergency guidance information according to the updated emergency priority tag and the target video stream.

[0014] Compared with the prior art, the beneficial effects of the present invention are: (1) This invention controls the first monitoring terminal to collect the vital signs data and on-site video of the target child in real time and uploads them to the edge computing node, so as to ensure that emergency personnel can obtain key physiological information and on-site conditions in a timely manner, improve the timeliness of emergency decision-making, and generate emergency priority tags based on the first vital signs data through the edge computing node, so that emergency personnel can prioritize the treatment of cases with high degree of urgency, thereby optimizing resource allocation and improving emergency efficiency. (2) The present invention can intelligently adjust the video transmission strategy and compress and encode the on-site video stream according to the emergency priority label to adapt to the current network conditions. This flexibility ensures that good video quality can still be maintained in different network environments, which is convenient for remote guidance. Moreover, by binding the first geographical location information with vital sign data, it helps emergency transport vehicles plan the best connection route, reduce transport time, and improve emergency response speed. (3) This invention can issue timely reminders for replenishing supplies by real-time monitoring of the use of emergency supplies, ensuring sufficient supplies during emergency rescue. At the same time, monitoring the unauthorized opening status of the emergency backpack improves security and prevents theft or misuse of supplies. Moreover, by uploading the characteristics and status information of the second vital signs to the edge computing node for weighted analysis, a risk warning index is generated to help emergency personnel identify potential dangers in a timely manner and take corresponding measures, thereby improving the safety of children during transport. Attached Figure Description

[0015] Figure 1 This is a schematic flowchart of the overall method in one embodiment of the present invention; Figure 2 This is a schematic diagram of the overall system architecture in one embodiment of the present invention.

[0016] In the diagram: 1. Data monitoring unit; 2. Edge computing unit; 3. Strategy acquisition unit; 4. Video compression unit; 5. On-site execution unit. Detailed Implementation

[0017] 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.

[0018] Example 1, please refer to Figure 1 This invention provides a technical solution: a method for monitoring on-site execution information of pediatric emergency transport based on edge networks, comprising: S1. Control the first monitoring terminal to collect the target child's vital signs data and on-site video of the emergency scene; the vital signs data include heart rate, blood oxygen saturation, and respiratory rate; S2. Upload the first vital signs data and on-site video to the edge computing node, so that the edge computing node can generate an emergency priority label based on the first vital signs data and determine the video transmission strategy based on the emergency priority label; S3. Obtain the video transmission strategy and emergency response priority label fed back by the edge computing node; S4. Compress and encode the live video according to the video transmission strategy to obtain the target video stream; S5. Send the target video stream and emergency priority label to the second monitoring terminal of the emergency transport vehicle, so that the second monitoring terminal of the emergency transport vehicle can decode the target video stream according to the emergency priority label and display emergency guidance information. Also, control the emergency transport vehicle to generate a suggested driving route according to the emergency priority label, determine the route deviation between the suggested driving route and the actual driving route, fuse the route deviation and the emergency priority label to obtain an updated emergency priority label, and update the emergency guidance information according to the updated emergency priority label and the target video stream.

[0019] It should be noted that at the emergency scene, the primary monitoring terminal (such as a wearable device or mobile phone) is responsible for collecting the child's vital signs data in real time, including heart rate, blood oxygen saturation, and respiratory rate. At the same time, it will also record video of the scene so that medical personnel can have a comprehensive understanding of the situation. For example, suppose a 6-year-old child suddenly faints while playing in a park; the paramedics use the primary monitoring terminal to quickly measure the child's heart rate as 120 beats / minute, blood oxygen saturation as 92%, and respiratory rate as 15 breaths / minute, and at the same time record video of the scene. The collected vital sign data and on-site video are uploaded to the edge computing node. At this node, the child's health status is analyzed based on the vital sign data, and an emergency priority label is assigned to them, such as "high," "medium," or "low." At the same time, the video quality and transmission strategy are determined based on this label. For example, in cases of high emergency priority, a higher quality video stream may be selected. For instance, after analyzing the data received by the edge computing node, it is found that the child's heart rate is high and the blood oxygen level is low. Therefore, the emergency priority of the case is marked as "high," and it is decided to transmit the video in high quality to ensure that the transport team receives clear information. The edge computing node feeds back the video transmission strategy and emergency priority label to the first monitoring terminal. Then, based on the feedback, the on-site video is compressed and encoded to generate the target video stream, which is ready to be sent to the second monitoring terminal of the emergency transport vehicle. For example, after receiving the feedback from the edge computing node, the first monitoring terminal compresses the on-site video into a format suitable for network transmission to ensure that the video remains smooth even under poor network conditions. The second monitoring terminal is located on the emergency transport vehicle. It receives the target video stream and emergency priority tags. Based on the emergency priority, it decodes the video stream and displays emergency guidance information, such as how to perform cardiopulmonary resuscitation (CPR). At the same time, it also provides suggested routes based on the priority tags to help the emergency vehicle reach the hospital quickly. For example, while the emergency transport vehicle is in motion, the second monitoring terminal displays real-time video and instructs emergency personnel to perform CPR. Simultaneously, it calculates the optimal route from the park to the hospital and displays the deviation between the current route and the suggested route. If the situation changes during transport (for example, emergency personnel need to change routes), an updated emergency priority label will be generated based on the current route deviation and emergency priority label, and the emergency guidance information will be updated accordingly. For example, if traffic congestion is encountered during the journey, emergency personnel will adjust the route in time, recalculate and update the emergency priority label to ensure that the latest emergency guidance is provided, while maintaining real-time communication with the hospital.

[0020] In an optional embodiment, the first vital signs data and on-site video are uploaded to an edge computing node, so that the edge computing node generates an emergency priority label based on the first vital signs data, including: The first monitoring terminal is controlled to continuously collect data on changes in the target child's vital signs. When the changes in vital signs exceed a preset fluctuation threshold, the high-priority computing mode of the edge computing node is triggered. Obtain emergency priority tags generated by edge computing nodes based on high-priority computing modes; whereby emergency priority tags are used to characterize the severity of the critical condition of the target child.

[0021] It should be noted that the primary monitoring terminal continuously monitors and records the vital signs data of the target child; this data includes heart rate, blood oxygen saturation, respiratory rate, etc., aiming to obtain real-time information on changes in the child's health status; for example, in a park, paramedics use the primary monitoring terminal to monitor a child who suddenly faints; the device updates the data every few seconds, recording the child's heart rate, blood oxygen, and respiratory rate in real time; for example, the heart rate suddenly increases from a normal 80 beats / minute to 110 beats / minute; A preset fluctuation threshold is set. When the vital signs data change beyond this threshold, the high-priority calculation mode of the edge computing node is automatically triggered. This means that the situation will be given more attention and the relevant data will be processed first in order to react quickly. For example, if a child's heart rate rises from 80 beats / minute to 120 beats / minute in a short period of time, this change exceeds the preset fluctuation threshold. At this time, the first monitoring terminal will send a signal to the edge computing node to request the activation of the high-priority calculation mode in order to analyze the current emergency situation in real time. In high-priority computing mode, edge computing nodes quickly analyze changes in vital signs and generate an emergency priority label to characterize the severity of the child's condition. This label can be "high," "medium," or "low," indicating the level of attention required by the emergency team. For example, after analysis, the edge computing node finds that the child's heart rate and respiratory rate are unstable, and the blood oxygen saturation is also low. Based on this information, the node decides to set the emergency priority label to "high." This means that emergency personnel need to take more aggressive treatment measures immediately, such as preparing to perform cardiopulmonary resuscitation (CPR) or rushing to the hospital as soon as possible.

[0022] In an optional embodiment, controlling the first monitoring terminal to collect the target child's first vital signs data and on-site video of the emergency scene includes: The system acquires physiological signals collected by wearable devices deployed at the emergency scene, and determines the primary vital signs data of the target child based on these physiological signals; the wearable devices are worn on the target child's body. Control the panoramic camera installed at the emergency site to collect on-site video and identify the actions of emergency personnel in the on-site video; Upload first vital signs data and on-site video to the edge computing node, including: First vital signs data, on-site video, and emergency personnel actions are uploaded to edge computing nodes so that the edge computing nodes can correct the emergency priority labels based on the emergency personnel actions.

[0023] It's important to note that at the emergency scene, wearable devices (such as smartwatches or sensor patches) worn by the child are responsible for collecting their physiological signals in real time. These signals may include heart rate, body temperature, and blood oxygen saturation. Based on these physiological signals, the child's vital signs can be determined. For example, suppose at an emergency scene, a 7-year-old child is being treated by paramedics due to a sudden asthma attack. The child is wearing a smartwatch on their wrist, which is monitoring their heart rate and blood oxygen levels in real time. If the device shows a heart rate of 130 beats per minute and a blood oxygen saturation of 88%, this indicates that the child's vital signs are abnormal and require immediate attention. At the emergency scene, panoramic cameras are also installed to comprehensively capture the situation. These cameras not only record video but also use image recognition technology to identify the actions of emergency responders, such as cardiopulmonary resuscitation (CPR) and the use of an AED (automated external defibrillator). For example, when rescuers begin CPR, the panoramic camera records the process in real time and uses intelligent recognition algorithms to identify that the rescuers are performing CPR. At this time, these important actions can be recorded for subsequent analysis and evaluation. Once vital signs data and on-site video are collected, this information is simultaneously uploaded to edge computing nodes. These nodes process the data and dynamically adjust the emergency response priority label based on the actions of the emergency responders. For example, on-site, vital signs data uploaded by wearable devices (such as heart rate and blood oxygen saturation as mentioned earlier) and CPR operation video recorded by a panoramic camera are simultaneously sent to the edge computing nodes. After receiving this data, the edge computing nodes analyze the emergency responders' actions. For instance, if the emergency responders are performing CPR, but the child's heart rate remains high and blood oxygen saturation has not improved, the emergency response priority label may be adjusted from "medium" to "high," indicating that the emergency team needs to take more aggressive measures, such as preparing to use medication or other emergency equipment.

[0024] In an optional embodiment, a positioning module is installed on the first monitoring terminal. After controlling the first monitoring terminal to collect the first vital signs data of the target child at the emergency scene and the on-site video of the emergency scene, the method further includes: The control and positioning module collects the first geographical location information of the first monitoring terminal; Bind the first geographic location information with the first vital sign data; Send the target video stream and emergency priority tag to the second monitoring terminal of the emergency transport vehicle, including: The target video stream, emergency priority tag, and first geographical location information are sent to the second monitoring terminal of the emergency transport vehicle so that the second monitoring terminal of the emergency transport vehicle can plan the connection route based on the first geographical location information.

[0025] It should be noted that the positioning module installed on the first monitoring terminal is responsible for obtaining the current geographical location information of the monitoring terminal in real time; this information usually uses GPS technology to determine the specific location of the device; for example, in an emergency, paramedics use the first monitoring terminal to monitor a child having an accident in a park; the positioning module obtains and records the exact location of the child at the time of the accident in real time, such as "coordinates near the south gate of the park: latitude 30.12345, longitude 120.12345"; Based on the acquired vital signs data (such as heart rate, blood oxygen level, etc.), the current geographical location information will be bound; this means that each set of vital signs data will be accompanied by corresponding location information for subsequent analysis and processing; for example, after the positioning module confirms the child's location information, it will combine this information with the monitored vital signs data (such as heart rate 130 beats / minute, blood oxygen 88%) to form a complete data package, recorded as "child's vital signs data + location (south gate of the park)"; The target video stream (live video from a panoramic camera), the emergency priority tag (e.g., "High"), and the first geographic location information are sent together to the second monitoring terminal of the emergency transport vehicle. This step ensures that the emergency transport team can receive all critical information in a timely manner so that they can respond quickly. For example, after monitoring a child's vital signs and identifying the emergency priority tag as "High," emergency personnel will send this information, along with the live video stream and geographic location information, to the emergency transport vehicle. For instance, the information received by the vehicle's second monitoring terminal includes: "The video stream shows the current emergency operation, the emergency priority tag is 'High,' and the location information is near the south gate of the park." After receiving all relevant information, the second monitoring terminal of the emergency transport vehicle will use the first geographical location information to plan the best connection route so as to quickly reach the emergency scene for treatment. For example, the transport vehicle's navigation will automatically calculate the fastest route from the current location to the south gate of the park based on the received geographical location information. Assuming that the vehicle is currently near the hospital, it may choose a street without traffic jams, with an estimated travel time of 10 minutes. At this time, traffic signals and road conditions will also be taken into account to ensure that it can reach the scene as soon as possible.

[0026] In an optional embodiment, before sending the target video stream and emergency priority tag to a second monitoring terminal of the emergency transport vehicle, the method further includes: Send a network quality probe request to the edge computing node; Receive current network bandwidth information from edge computing nodes; Sending the target video stream and emergency priority tag to the second monitoring terminal of the emergency transport vehicle also includes: The bitrate of the target video stream is adjusted based on the current network bandwidth information, and the adjusted target video stream and emergency priority tag are sent to the second monitoring terminal of the emergency transport vehicle.

[0027] It's important to note that before sending critical data to the emergency transport vehicle, a network quality probe request is first sent to the edge computing node. This step assesses the current network condition to ensure there are no delays or packet losses during data transmission. For example, at an emergency scene, paramedics use a primary monitoring terminal to prepare to send real-time video streams and vital signs information. Before this, a probe request is sent to the edge computing node to check the stability and speed of the network connection. This might be a simple request asking about the current network status, such as "Please provide feedback on the current network bandwidth." Upon receiving a request, the edge computing node quickly analyzes the current network bandwidth and feeds it back to the primary monitoring terminal. This information is crucial because it directly impacts the quality and speed of data transmission. For example, after receiving a probe request, the edge computing node analyzes the network bandwidth and might return information such as "current network bandwidth is 5Mbps." This feedback allows emergency responders to understand the network status and decide how to handle subsequent data transmission. Based on the network bandwidth information fed back by the edge computing nodes, the bitrate of the video stream to be sent is automatically adjusted. The higher the bitrate of the video stream, the clearer the image quality, but the higher the network bandwidth requirement. Conversely, reducing the bitrate can reduce the bandwidth requirement, but may affect the video quality. For example, suppose the network bandwidth reported by the edge computing node is 5Mbps, and the bitrate of the original video stream is set to 8Mbps. In this case, it will be determined that the current bandwidth is insufficient to support high bitrate video transmission, so the bitrate of the video stream will be adjusted to 4Mbps to ensure that the data can be transmitted smoothly without stuttering or packet loss. After adjusting the video stream bitrate, the adjusted target video stream and the emergency priority tag can be sent together to the second monitoring terminal of the emergency transport vehicle. This ensures that important emergency information can be transmitted in a timely and stable manner under appropriate bandwidth conditions. For example, after adjustment, a 4Mbps target video stream and an emergency priority tag (e.g., "high") are now sent together to the second monitoring terminal of the emergency transport vehicle. After receiving this information, the vehicle can immediately view the video stream and take appropriate measures according to the emergency priority tag to prepare for the upcoming emergency work.

[0028] In an optional embodiment, the first-aid backpack corresponding to the first monitoring terminal is located at the emergency scene; accordingly, after controlling the first monitoring terminal to collect the target child's first vital signs data and the on-site video of the emergency scene, the method further includes: The control terminal identifies the usage of emergency supplies based on on-site video. If the emergency supplies are less than the preset threshold, the control terminal issues a replenishment prompt. The system controls the first monitoring terminal to monitor the opening status of the first aid backpack. If the first aid backpack is in an unauthorized open state, the system controls the first monitoring terminal to send an alarm message to the edge computing node.

[0029] It should be noted that the first monitoring terminal analyzes the usage of emergency supplies through on-site video; this means it can monitor in real time which emergency supplies are used and their remaining quantities; for example, at a child emergency scene, emergency personnel are using supplies from an emergency backpack; the first monitoring terminal observes through the camera that the emergency personnel open the emergency backpack and take out CPR equipment and some medicines; based on video analysis, it records the usage of these supplies. Set a preset inventory threshold, such as at least 5 units of each item in the first aid backpack; the monitoring function will continuously track the usage of the items and compare it with this threshold; for example: suppose there were originally 10 bandages in the first aid backpack, but 6 were used during the first aid; it is detected that there are only 4 items left, which is lower than the preset inventory threshold (5), so a replenishment prompt needs to be issued; When the stock of emergency supplies is found to be below a preset threshold, a prompt will be issued to remind emergency personnel to replenish the supplies in time. For example, after detecting that there are only 4 bandages left, the first monitoring terminal will send an alarm message to the emergency personnel, such as "Warning: Bandage stock is below the threshold, please replenish as soon as possible." In this way, emergency personnel can take timely measures to avoid shortages of supplies during the emergency. In addition to monitoring the use of supplies, the system also monitors the opening status of first aid backpacks to ensure they are not opened by unauthorized personnel. This can be achieved through sensor technology, such as installing switches or sensors on the backpacks. For example, if a first aider authorizes the opening of the first aid backpack, this action will be recorded normally; however, if someone attempts to open the first aid backpack without authorization, this unauthorized status will be detected immediately. Once an unauthorized opening of the first aid backpack is detected, an alarm message will be sent to the edge computing node to remind relevant personnel to deal with this security risk in a timely manner. For example, if a stranger attempts to open the first aid backpack, after detecting this behavior, an alarm message will be sent to the edge computing node immediately, such as "Alert: First aid backpack is being opened by an unauthorized person. Please deal with it immediately." This can ensure the safety of first aid supplies and prevent misuse or theft.

[0030] In an optional embodiment, after sending the target video stream and emergency priority tag to a second monitoring terminal of the emergency transport vehicle, the method further includes: Acquire on-site updated video streams captured by a second camera during emergency transport; The second vital signs of the child during the transfer were extracted from the on-site video stream and the corresponding second status information was identified. The second vital signs included the child's second heart rate, second respiratory rate, second facial color, and crying characteristics. The second status information included the second position of the stretcher, the second connection status of the monitor, and the speed of the transfer vehicle. The second vital signs characteristics and second status information are uploaded to the edge computing node, so that the edge computing node can perform weighted analysis on the second vital signs characteristics and second status information based on the emergency rescue priority label to generate a risk warning index.

[0031] It should be noted that during emergency transport, the second camera will capture real-time video of the scene inside the vehicle and send this updated video stream to the second monitoring terminal. This video stream can show various situations during the transport, including the child's condition and the surrounding environment. For example, during the transport, the ambulance's second camera records the scene inside the vehicle, showing the child being monitored and the emergency personnel around them. This video stream provides a dynamic view of the scene, which is helpful for subsequent monitoring and analysis. The vital signs of children are analyzed and extracted from the live video stream. These characteristics include secondary heart rate, secondary respiratory rate, secondary facial color, and crying characteristics. This data is crucial for assessing a child's health. For example, by analyzing the video stream, it may be detected that a child's heart rate is 120 beats per minute and respiratory rate is 30 breaths per minute, while the child is observed to be pale and crying. These details are all labeled as secondary vital signs. In addition to vital signs, status information related to transport will also be identified; this includes secondary position characteristics of the stretcher (e.g., whether the stretcher is secure), secondary connection status characteristics of the monitor (whether it is working properly), and speed characteristics of the transport vehicle (e.g., whether the speed is too fast); for example, it may be identified that the stretcher is in a normal position, the monitor is working properly and connected well, and the speed of the transport vehicle is 50 km / h; in this case, all status information will be recorded for subsequent analysis. The collected second vital signs and second status information will be uploaded to the edge computing node; this step ensures that all real-time data can be centrally processed for more in-depth analysis; for example, after data collection is completed, the above information such as heart rate, respiratory rate, facial color characteristics, crying characteristics, as well as stretcher position, monitor connection status and transport speed are packaged and sent to the edge computing node for subsequent processing. After receiving the data, the edge computing node will combine it with the previously sent emergency priority labels (such as "high", "medium", and "low") to perform a weighted analysis of vital signs and status information. This analysis aims to assess the risk to the child's current health condition. For example, if the emergency priority label is "high", the child's heart rate and complexion may be given greater weight in the analysis, as these key features directly affect the stability of vital signs. Finally, this data will be combined to generate a risk warning index to help the emergency team determine the severity of the child's urgency. After weighted analysis, the edge computing node generates a risk warning index that indicates the child's health status and the urgency of emergency needs. This index will provide decision support for emergency responders, helping them to take appropriate measures quickly. For example, if the generated risk warning index is high, the emergency response team may decide to take further emergency measures before arriving at the hospital, such as adjusting medication or providing closer monitoring.

[0032] In an optional embodiment, after uploading the second vital sign characteristics and the second state information to the edge computing node, the method further includes: Receive historical matching results returned by the edge computing node; the historical matching results are determined by the edge computing node querying the database for first state information similar to the second state information, calculating the first matching degree between the first vital sign feature and the second vital sign feature corresponding to the identified first state information, and calculating the second matching degree between the generation time of the on-site video stream corresponding to the identified first state information and the emotional stability duration corresponding to the crying feature. Based on historical matching results and risk warning indices, the emergency medical care status of children during transport is determined.

[0033] It should be noted that the edge computing node queries its database for first-state information similar to the currently uploaded second-state information. This first-state information is based on records of similar past cases, including the children's condition and medical status during transport. This historical data is analyzed to provide a reference for current emergency response decisions. For example, suppose there is a previous case record showing that a 5-year-old child exhibited characteristics such as paleness, crying, and rapid heart rate during transport. The first-state information of this case is stored in the edge computing node's database. When a new transport situation is uploaded, its condition is identified as similar to a historical case, so the first-state information of that case is returned as a historical matching result. The edge computing node analyzes and identifies the matching degree between the first state information and the current child's second vital signs. The first matching degree is derived by comparing the vital signs (such as heart rate and respiratory rate) corresponding to the first state information with the second vital signs. Simultaneously, it calculates the matching degree between the generation time of the live video stream corresponding to the first state information and the duration of emotional stability corresponding to the current child's crying behavior; this is called the second matching degree. For example, if the child's heart rate in a historical case was 130 beats per minute during transport, while the current child's heart rate is 120 beats per minute, the matching degree between these two data points might be considered high. Furthermore, if the video stream from a historical case was generated 5 minutes ago, and the current child's crying behavior has lasted for 3 minutes, this time difference is evaluated to determine the degree of emotional stability, thus deriving the second matching degree. By combining historical matching results and risk warning indices, emergency medical teams can better assess the current status of a child's emergency care. The risk warning index, a weighted analysis of second vital signs and second-state information, reflects the child's current health risk level. Based on this information, the emergency medical team will decide whether more urgent measures or adjustments to the emergency response strategy are needed. For example, suppose historical matching results show a high first-match ratio for cases similar to the current situation, and the risk warning index also indicates that the child's condition falls into the "high-risk" category; the emergency medical team may decide to immediately take more aggressive intervention measures, such as increasing oxygen supply or preparing other emergency equipment, to ensure the child's safety.

[0034] In an optional embodiment, the emergency medical services status of a child during transport is determined based on historical matching results and a risk warning index, including: When the confidence level of the identified second status information exceeds the preset first confidence threshold, and the completeness of the second status information exceeds the first completion threshold, the second status information will be used as the emergency response status of the child during transport. When the confidence level of the identified second state information does not exceed the preset first confidence level threshold, or the completeness of the second state information does not exceed the first completion level threshold, the execution strategy corresponding to the first state information with the highest first matching degree and second matching degree in the historical matching results is taken as the emergency execution state. After determining the child's emergency medical status during transport, the method also includes: The emergency response status is sent to the second monitoring terminal of the emergency transport vehicle; The second monitoring terminal updates emergency guidance information based on the emergency response status and controls the emergency transport vehicle to adjust its speed or route according to the emergency response status until it reaches the target hospital.

[0035] It's important to note that during emergency care, the identified second-state information is evaluated. First, its confidence level and completeness are checked. Confidence level refers to the reliability of the identification result, while completeness indicates whether the information obtained is sufficient. For example, a confidence threshold (e.g., 80%) and a completeness threshold (e.g., 70%) might be set. Only when both indicators exceed these thresholds is the second-state information considered a valid emergency response status. For instance, suppose a child's vital signs show a rapid heart rate and emotional instability. The calculated confidence level for this status is 85% (above 80%), while the completeness is 75% (below 70%). In this case, although the confidence level meets the requirement, the completeness is insufficient, so it cannot be directly considered an emergency response status. If the second status information fails to meet the confidence or completeness requirements, the system will search for the first status information with the highest first and second match scores in the historical matching results, and guide emergency measures based on the corresponding execution strategy. For example, suppose there is a case in the historical data with a first match score of 90% and a second match score of 85%, and the corresponding execution strategy is "immediately provide oxygen and monitor heart rate". Since the confidence and completeness of the current status information are insufficient, the execution strategy of this historical case will be adopted as the current emergency execution status. Once the emergency response status is determined, this status information will be sent to the second monitoring terminal of the emergency transport vehicle. This terminal will receive the latest emergency guidance information to ensure that emergency personnel can take necessary measures quickly. For example, if the determined emergency response status is "provide oxygen and monitor heart rate", this information will be quickly transmitted to the monitoring equipment of the emergency vehicle. After receiving the emergency response status, the second monitoring terminal will automatically update the corresponding emergency guidance information. At the same time, based on the current emergency response status, it may be necessary to adjust the vehicle's speed or route to reach the hospital more quickly. For example, if the emergency response status recommends increasing oxygen supply, but the vehicle is still 20 minutes away from the hospital, it may determine that the current speed is too slow and instruct the driver to accelerate or choose a faster route to reduce arrival time. This real-time adjustment can ensure that children receive timely medical assistance.

[0036] Example 2, please refer to Figure 2 This invention provides a technical solution: a monitoring system for on-site execution information of pediatric emergency transport based on edge networks, applicable to the aforementioned monitoring method for on-site execution information of pediatric emergency transport based on edge networks, comprising: Data monitoring unit 1 is configured to control the first monitoring terminal to collect the first vital signs data of the target child at the emergency scene and the on-site video of the emergency scene; the first vital signs data include heart rate, blood oxygen saturation and respiratory rate; Edge computing unit 2 is configured to upload first vital signs data and on-site video to the edge computing node, so that the edge computing node can generate emergency priority tags based on the first vital signs data and determine the video transmission strategy based on the emergency priority tags. Strategy acquisition unit 3 is configured to acquire video transmission strategies and emergency rescue priority tags fed back by edge computing nodes; Video compression unit 4 is configured to compress and encode the on-site video according to the video transmission strategy to obtain the target video stream; The on-site execution unit 5 is configured to send the target video stream and emergency priority label to the second monitoring terminal of the emergency transport vehicle, so that the second monitoring terminal of the emergency transport vehicle can decode the target video stream according to the emergency priority label and display emergency guidance information, and control the emergency transport vehicle to generate a suggested driving route according to the emergency priority label, determine the route deviation between the suggested driving route and the actual driving route, fuse the route deviation and the emergency priority label to obtain an updated emergency priority label, and update the emergency guidance information according to the updated emergency priority label and the target video stream.

[0037] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A method for monitoring on-site execution information of pediatric emergency transport based on edge networks, characterized in that, include: The system controls the first monitoring terminal to collect vital signs data of the target child at the emergency scene, as well as on-site video of the emergency scene. The first vital signs data include heart rate, blood oxygen saturation, and respiratory rate; The first vital signs data and the on-site video are uploaded to the edge computing node, so that the edge computing node generates an emergency priority tag based on the first vital signs data and determines the video transmission strategy based on the emergency priority tag. Obtain the video transmission strategy and emergency rescue priority label fed back by the edge computing node; The on-site video is compressed and encoded according to the video transmission strategy to obtain the target video stream; The target video stream and the emergency priority tag are sent to the second monitoring terminal of the emergency transport vehicle. The second monitoring terminal of the emergency transport vehicle decodes the target video stream according to the emergency priority tag and displays emergency guidance information. It also controls the emergency transport vehicle to generate a suggested driving route based on the emergency priority tag, determines the route deviation between the suggested driving route and the actual driving route, merges the route deviation and the emergency priority tag to obtain an updated emergency priority tag, and updates the emergency guidance information according to the updated emergency priority tag and the target video stream.

2. The method for monitoring on-site execution information of pediatric emergency transport based on edge networks according to claim 1, characterized in that, The first vital signs data and the on-site video are uploaded to an edge computing node, so that the edge computing node generates an emergency priority label based on the first vital signs data, including: The first monitoring terminal is controlled to continuously collect vital sign change data of the target child; When the changes in vital signs exceed a preset fluctuation threshold, the high-priority computing mode of the edge computing node is triggered. Obtain the emergency priority label generated by the edge computing node based on the high-priority computing mode; wherein the emergency priority label is used to characterize the severity of the critical condition of the target child.

3. The method for monitoring on-site execution information of pediatric emergency transport based on edge networks according to claim 2, characterized in that, The control unit collects vital signs data of the target child at the emergency scene, as well as on-site video, including: The system acquires physiological signals collected by wearable devices deployed at the emergency scene, and determines the primary vital signs data of the target child based on the physiological signals; wherein the wearable devices are worn on the target child's body. Control the panoramic camera installed at the emergency scene to collect on-site video, and identify the actions of emergency personnel in the on-site video; Uploading the first vital sign data and the on-site video to the edge computing node includes: The first vital signs data, the on-site video, and the actions of the emergency responders are uploaded to the edge computing node so that the edge computing node can correct the emergency priority label based on the actions of the emergency responders.

4. The method for monitoring on-site execution information of pediatric emergency transport based on edge networks according to claim 3, characterized in that, The first monitoring terminal is equipped with a positioning module. After the method controls the first monitoring terminal to collect the first vital signs data of the target child at the emergency scene and the on-site video of the emergency scene, the method further includes: The positioning module is controlled to collect the first geographical location information of the first monitoring terminal; Bind the first geographical location information with the first vital sign data; The step of sending the target video stream and the emergency priority tag to the second monitoring terminal of the emergency transport vehicle includes: The target video stream, the emergency priority tag, and the first geographical location information are sent to the second monitoring terminal of the emergency transport vehicle, so that the second monitoring terminal of the emergency transport vehicle can plan the connection route based on the first geographical location information.

5. The method for monitoring on-site execution information of pediatric emergency transport based on edge networks according to claim 4, characterized in that, Before sending the target video stream and the emergency priority tag to the second monitoring terminal of the emergency transport vehicle, the method further includes: Send a network quality detection request to the edge computing node; Receive the current network bandwidth information fed back by the edge computing node; The second monitoring terminal that sends the target video stream and the emergency priority tag to the emergency transport vehicle further includes: The bitrate of the target video stream is adjusted according to the current network bandwidth information, and the adjusted target video stream and the emergency priority tag are sent to the second monitoring terminal of the emergency transport vehicle.

6. The method for monitoring on-site execution information of pediatric emergency transport based on edge networks according to claim 5, characterized in that, The first-aid backpack corresponding to the first monitoring terminal is located at the emergency scene; correspondingly, after controlling the first monitoring terminal to collect the first vital signs data of the target child at the emergency scene and the on-site video of the emergency scene, the method further includes: The first monitoring terminal is controlled to identify the usage of emergency supplies based on the on-site video. If the emergency supplies are less than a preset threshold, the first monitoring terminal is controlled to issue a supply replenishment prompt. The first monitoring terminal is controlled to monitor the opening status of the first aid backpack. If the first aid backpack is in an unauthorized open state, the first monitoring terminal is controlled to send an alarm message to the edge computing node.

7. The method for monitoring on-site execution information of pediatric emergency transport based on edge networks according to claim 6, characterized in that, After sending the target video stream and the emergency priority tag to the second monitoring terminal of the emergency transport vehicle, the method further includes: Acquire on-site updated video streams captured by a second camera during emergency transport; The second vital signs of the child during transport are extracted from the on-site updated video stream, and the corresponding second status information is identified. The second vital signs include the child's second heart rate, second respiratory rate, second facial color, and crying characteristics. The second status information includes the second position of the stretcher, the second connection status of the monitor, and the speed of the transport vehicle. The second vital signs and the second status information are uploaded to the edge computing node, so that the edge computing node can perform weighted analysis on the second vital signs and the second status information based on the emergency rescue priority label to generate a risk warning index.

8. The method for monitoring on-site execution information of pediatric emergency transport based on edge networks according to claim 7, characterized in that, After uploading the second vital sign characteristics and the second status information to the edge computing node, the method further includes: The edge computing node receives historical matching results; the historical matching results are determined by the edge computing node querying the database for first state information similar to the second state information, calculating the first matching degree between the first vital sign feature corresponding to the identified first state information and the second vital sign feature, and calculating the second matching degree between the generation time of the on-site video stream corresponding to the identified first state information and the emotional stability duration corresponding to the crying feature. Based on the historical matching results and the risk warning index, the emergency medical treatment status of the child during transport is determined.

9. The method for monitoring on-site execution information of pediatric emergency transport based on edge networks according to claim 8, characterized in that, Based on the historical matching results and the risk warning index, the emergency medical treatment status of the child during transport is determined, including: When the confidence level of the identified second status information exceeds the preset first confidence threshold, and the completeness of the second status information exceeds the first completion threshold, the second status information is used as the emergency response status of the child during the transport. When the confidence level of the identified second status information does not exceed the preset first confidence level threshold, or the completeness of the second status information does not exceed the first completion level threshold, the execution strategy corresponding to the first status information with the highest first matching degree and second matching degree in the historical matching results is taken as the emergency execution status. After determining the emergency medical status of the child during transport, the method further includes: The emergency response status is sent to the second monitoring terminal of the emergency transport vehicle; The second monitoring terminal is controlled to update the emergency guidance information according to the emergency execution status, and the emergency transport vehicle is controlled to adjust its driving speed or route according to the emergency execution status until it reaches the target hospital.

10. A monitoring system for on-site execution information of pediatric emergency transport based on edge networks, applicable to the monitoring method for on-site execution information of pediatric emergency transport based on edge networks as described in any one of claims 1-9, characterized in that, include: The data monitoring unit is configured to control the first monitoring terminal to collect the first vital signs data of the target child at the emergency scene and the on-site video of the emergency scene; The first vital signs data include heart rate, blood oxygen saturation, and respiratory rate; An edge computing unit is configured to upload the first vital signs data and the on-site video to an edge computing node, so that the edge computing node generates an emergency priority tag based on the first vital signs data and determines a video transmission strategy based on the emergency priority tag. The strategy acquisition unit is configured to acquire the video transmission strategy and emergency rescue priority label fed back by the edge computing node; The video compression unit is configured to compress and encode the on-site video according to the video transmission strategy to obtain a target video stream; The on-site execution unit is configured to send the target video stream and the emergency priority tag to the second monitoring terminal of the emergency transport vehicle, so that the second monitoring terminal of the emergency transport vehicle decodes the target video stream according to the emergency priority tag and displays emergency guidance information, and controls the emergency transport vehicle to generate a suggested driving route according to the emergency priority tag, determines the route deviation between the suggested driving route and the actual driving route, merges the route deviation and the emergency priority tag to obtain an updated emergency priority tag, and updates the emergency guidance information according to the updated emergency priority tag and the target video stream.

Images