Traffic injury pre-hospital rescue system and method

Abstract

The invention discloses a traffic injury pre-hospital rescue system and method, and belongs to the field of traffic safety rescue, and the method comprises the steps that a vehicle-mounted terminal obtains vehicle driving state information and in-vehicle personnel condition information, and judges whether a traffic accident occurs or not; when a traffic accident occurs, the vehicle-mounted terminal sends the collected information to the emergency platform; the emergency platform analyzes accident conditions and information of potential rescue personnel around an accident site according to information sent by the vehicle-mounted terminal and the user terminal, and issues accident information, a required article list, a required operator list and a pre-hospital emergency scheme to the potential rescue personnel; and the emergency platform obtains the response information of the potential rescuers sent by the hospital platform, and sends the real-time data fed back by the vehicle-mounted terminal to the hospital platform. According to the invention, the specific injury condition information of the wounded can be obtained in time and can be quickly matched with surrounding potential rescue personnel capable of providing materials and manpower for pre-hospital first aid, so that the rescue efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of traffic safety rescue, and in particular to a traffic injury pre-hospital rescue system and method. Background Art

[0002] With the vigorous development of the national economy and the acceleration of urbanization, my country's road network has expanded rapidly and the number of motor vehicles has increased sharply. This process is similar to the early experience of Western countries, and it is accompanied by the increasing prominence of road traffic safety issues. At present, my country has shortcomings in emergency response to traffic accidents: on the one hand, the place where serious traffic injuries occur is usually far away from the urban area, and the time it takes for the ambulance to arrive at the accident site and the time it takes for the injured to arrive at the hospital are both long. The subject of pre-hospital emergency treatment should not be limited to professional medical institutions such as hospitals or emergency centers, but a more efficient and extensive linkage mechanism should be established to shorten the response time and ensure that the injured receive timely and correct treatment and transportation; on the other hand, emergency treatment for traffic injuries should go beyond simple transportation, and obtain detailed information of the injured as soon as possible after the traffic injury occurs, such as whether bleeding occurs, the amount of bleeding, blood type, bleeding site, etc., to provide support for the formulation of emergency plans. Fast, accurate and efficient pre-hospital emergency treatment is a shortcoming that urgently needs to be made up.

[0003] According to the results of our country's survey, in the emergency treatment of traffic accidents, the proportion of pre-hospital deaths is as high as 66% to 93.26%, highlighting the vital importance of early emergency treatment. Timely and effective pre-hospital intervention, especially taking life-saving measures within 5 minutes after the accident and implementing medical assistance within 30 minutes, is expected to save the lives of 18% to 25% of victims. However, practical reasons such as untimely information exchange, inaccurate injury information collection, and long distances for professional emergency resources have hindered rapid, accurate, and efficient pre-hospital emergency response. Therefore, building an emergency system that can quickly respond to the emergency needs of traffic injuries, realize precise and efficient information circulation, and widely participate in the masses has become a major issue that needs to be solved. Summary of the invention

[0004] One of the purposes of the present invention is to provide a traffic accident pre-hospital rescue system to solve the problem in the prior art that traffic accidents cannot be discovered in time and the conditions of the injured cannot be obtained, resulting in rescue delays and missing the best first aid time.

[0005] The present invention is implemented through the following technical scheme. A pre-hospital rescue system for traffic injuries includes: an emergency platform, a hospital platform, a user terminal and a vehicle-mounted terminal, wherein the emergency platform is connected to the hospital platform, the user terminal and the vehicle-mounted terminal, and is configured to receive information sent by the hospital platform, the user terminal and the vehicle-mounted terminal, and process and divide the information, distribute different information to corresponding terminals according to the type of information, and send emergency information to the hospital platform according to the result of information processing; the hospital platform is connected to the emergency platform and is configured to, according to the emergency information, split the elements in the emergency information into a list of required items and a list of operators, and split them according to the purpose of the items and the type of operation; the user terminal is connected to the emergency platform and is configured to store user information in the user terminal, and send the user information to the emergency platform after a traffic accident is detected; the vehicle-mounted terminal is installed on the vehicle and connected to the emergency platform and is configured to obtain vehicle driving data and determine whether a traffic accident has occurred according to the form data, and initiate a distress signal.

[0006] Furthermore, the user terminal also includes the user's response to the published status first aid information, issuing first aid assistance tasks to matched potential rescuers, pre-hospital first aid plan implementation communication and information sharing, and on-site personnel reporting the accident scene, number of injured people and information on the condition of the injured to the first aid platform through the user terminal.

[0007] Furthermore, the first aid information includes judging the manifestation of the traffic accident based on the information sent by the user terminal and the vehicle-mounted terminal, formulating first aid measures based on the judgment results, and generating a mapping table of required first aid drugs and a preliminary pre-hospital first aid plan based on the first aid measures. If the information sent by the user terminal and the vehicle-mounted terminal is insufficient to judge the manifestation of the traffic accident, the default traffic injury first aid plan will be used as the preliminary pre-hospital first aid plan.

[0008] Furthermore, the vehicle-mounted terminal includes a Bluetooth communication module, a voice communication interaction module and a sensor module, wherein the Bluetooth communication module is configured to perform Bluetooth communication with a locomotive system or a mobile phone, obtain vehicle navigation route information, and upload the navigation route information to the emergency platform; the voice communication interaction module is configured to perform information interaction with the occupants of the vehicle, when the vehicle is started, inquire about the basic information such as blood type, medical history, etc. of the occupants of the vehicle and the driver and passengers at the corresponding positions and save them to the vehicle-mounted terminal, communicate with the occupants of the vehicle after an accident occurs, obtain information on the condition of the injured, and convey emergency and self-rescue information; the sensor module includes an acceleration sensor submodule and an infrared thermal imaging submodule. The module, the acceleration sensor submodule is configured to measure the acceleration value of the vehicle during driving. When the acceleration value exceeds a preset value, the terminal initiates an inquiry to the occupants whether an emergency call needs to be initiated. If a reply is received indicating that an emergency call needs to be initiated, or no response is received, or a one-key alarm distress signal is triggered, it is determined that the vehicle has been in a serious traffic accident; the infrared thermal imaging submodule is coupled to the acceleration sensor submodule and configured such that when the acceleration sensor submodule detects that the acceleration value exceeds a preset value, the infrared thermal imaging submodule is started, and the infrared thermal imaging module is used to capture the thermal radiation generated by blood loss and local temperature changes, so as to determine whether the occupants are bleeding and the severity of the bleeding.

[0009] Furthermore, the infrared thermal imaging submodule also includes image recognition of the acquired thermal imaging images inside the vehicle, estimating the temperature changes in the image, and judging the position, number, body surface temperature, whether bleeding occurs, and the amount and speed of bleeding of the people inside the vehicle.

[0010] Furthermore, image recognition includes: calculating the temperature difference of all pixels at a preset time interval on two frames of thermal imaging images, ΔT(x, y) = T 2 (x,y)-T 1 (x,y), where T 1 (x,y) and T 2 (x, y) are the temperatures of the pixel (x, y) in the first and second needle images respectively. The temperature difference in the identified image is greater than the preset value T thresh0 All pixels of compose the thermal effect increase area, that is, (x, y)∈area and ΔT(x, y)>T thresh0 , the average temperature of all pixels corresponding to the thermal effect increase area is T area , the average temperature when recording the next frame of the image in this area is T′ area ; Continuously record the thermal effect increase area to form a thermal effect increase area sequence: S A ={area 1 ,area 2 ,…area i}, the average temperature series is: The average temperature sequence of the next frame of each sequence element is: The pixel point sets in all element areas in S are combined to obtain the historical thermal effect increase area A i ; When the historical thermal effect increase area appears N consecutive frames (N is the preset value) and The values ​​of all elements in are less than the preset value T thresh1 When , it is determined that bleeding occurs.

[0011] Furthermore, the image recognition also includes: estimating the amount of bleeding and the bleeding speed according to the size and the increasing speed of the newly appeared thermal effect area,

[0012] When the amount of bleeding and the bleeding speed are greater than the preset values, the bleeding person is determined to be a wounded person who needs a blood transfusion, and it is determined that severe bleeding occurs; the estimated amount of bleeding and the bleeding speed are, when the i+1 frame image is calculated in the estimated total amount of bleeding, the calculation method is: Where k is the area-to-bleeding volume ratio calibration coefficient, is the area of ​​the region increased by the historical thermal effect at the i+1th frame image, and the estimated real-time bleeding speed is, Where Δt is the time interval between two frames of images.

[0013] On the other hand, the present invention also provides a method for pre-hospital rescue of traffic injuries, comprising the following steps: S100, the vehicle-mounted terminal obtains vehicle driving status information, information on the situation of people in the vehicle, and determines whether a traffic accident occurs; S200, when a traffic accident occurs, the vehicle-mounted terminal sends the collected information to the emergency platform; S300, the emergency platform analyzes the accident situation and information on potential rescuers around the accident scene based on the information sent by the vehicle-mounted terminal and the user terminal, and publishes accident information, a list of required items, a list of required operators, and a pre-hospital emergency plan to the potential rescuers; S400, the emergency platform obtains response information from potential rescuers sent by the hospital platform, and sends real-time data fed back by the vehicle-mounted terminal to the hospital platform.

[0014] Furthermore, the real-time data includes: the in-vehicle thermal imaging image sent by the vehicle terminal, and the bleeding information of the injured person determined based on the in-vehicle thermal imaging image, including the injured person's location, blood type, bleeding site, bleeding amount and bleeding speed.

[0015] Furthermore, the bleeding information of the injured person is determined by the following method: calculating the temperature difference of all pixels at a preset time interval on two frames of thermal imaging images, ΔT(x, y) = T 2 (x,y)-T 1 (x,y), where T 1 (x,y) and T 2(x, y) are the temperatures of the pixel (x, y) in the first and second needle images respectively. The temperature difference in the identified image is greater than the preset value T thresh0 All pixels of compose the thermal effect increase area, that is, (x, y)∈area and ΔT(x, y)>T thresh0 , the average temperature of all pixels corresponding to the thermal effect increase area is T area , the average temperature when recording the next frame of the image in this area is T′ area ; Continuously record the thermal effect increase area to form a thermal effect increase area sequence: S A ={area 1 ,area 2 ,…area i}, the average temperature series is: The average temperature sequence of the next frame of each sequence element is: The pixel point sets in all element areas in S are combined to obtain the historical thermal effect increase area A i ; When the historical thermal effect increase area increases for N consecutive frames, and The values ​​of all elements in are less than the preset value T thresh1 When , it is determined that bleeding occurs; according to the size of the newly appeared thermal effect area and the rate of increase, the amount of bleeding and the bleeding rate are estimated. When the amount of bleeding and the bleeding rate are greater than the preset value, the bleeding person is determined to be a wounded person who needs blood transfusion, and severe bleeding is determined. The total amount of bleeding is estimated and calculated as follows at the i+1th frame image: Where k is the calibration coefficient of the ratio of area to bleeding volume, The area of ​​the region increased by the historical thermal effect at the i+1th frame image, and the estimated real-time bleeding speed is: Among them, Δt is the time interval between two frames of images; according to the positional relationship between the newly appeared thermal effect area and various parts of the human body in the image, the part closest to the two is determined to be the bleeding part. Through the recognition of human skeleton key points in image recognition technology, the pixel positions of the skeleton key points of each person in the car in the image are located, and S is calculated. A The first element area 1 The distances between all pixels and all skeleton key points are calculated, and the human body parts to which two or more skeleton key points with the smallest distance belong are taken as the bleeding parts, and finally the bleeding information of the injured in the car is obtained.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0017] 1. The present invention can detect traffic accidents and obtain the conditions of the injured in a timely manner, thus avoiding rescue delays and missing the best time for first aid, thereby avoiding serious consequences. At the same time, by being able to quickly match potential rescuers in the surrounding area who can provide materials and manpower for pre-hospital first aid, the timeliness and effectiveness of traffic accident rescue are improved.

[0018] 2. The present invention can accurately obtain the injury information of the people in the car through the built-in acceleration measurement module, infrared thermal imaging module, etc. of the vehicle-mounted terminal, improve the sensitivity and accuracy of the sensor module, and can obtain the specific injury information of the injured in time, and quickly match the potential rescue personnel in the surrounding area who can provide materials and manpower for pre-hospital first aid, thereby improving the rescue efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0020] Figure 1 This is a flow chart of the method provided in Example 1 of the present invention.

[0021] Figure 2 This is a system block diagram provided for Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0023] Example 1

[0024] This embodiment discloses a method for pre-hospital rescue of traffic casualties. Figure 1 The flowchart of the method in this embodiment is shown. It can be seen from the figure that this embodiment includes the following steps:

[0025] Step 1: The vehicle terminal obtains the vehicle driving status information, the situation information of the people in the vehicle, and determines whether a traffic accident occurs.

[0026] Step 2: When a traffic accident occurs, the vehicle terminal sends the collected information to the emergency platform.

[0027] Step 3: The emergency rescue platform analyzes the accident situation and the information of potential rescuers around the accident scene based on the information sent by the vehicle terminal and the user terminal, and releases the accident information, a list of required items, a list of required operators, and a pre-hospital emergency plan to the potential rescuers.

[0028] Step 4: The emergency platform obtains the response information of potential rescuers sent by the hospital platform, and sends the real-time data fed back by the vehicle terminal to the hospital platform.

[0029] Specifically, real-time data may include: thermal imaging images inside the vehicle sent by the vehicle-mounted terminal, and bleeding information of the injured person determined based on the thermal imaging images inside the vehicle, including the location of the injured person, blood type, bleeding site, bleeding amount and bleeding speed.

[0030] In this embodiment, the bleeding condition information of the wounded can be obtained by judging the following method:

[0031] Whether bleeding occurs is determined by analyzing the changes in the thermal imaging images before and after in time. When a new thermal effect area appears in the subsequent image compared to the previous image and the temperature of the new thermal effect area is maintained relative to the temperature of the next frame image, bleeding is determined to occur.

[0032] Specifically,

[0033] ① Calculate the temperature difference of all pixels on two frames of thermal imaging images at a preset time interval (e.g. 500 milliseconds) ΔT(x, y) = T 2 (x,y)-T 1 (x,y), where T 1 (x,y) and T 2 (x, y) are the temperatures of the pixel (x, y) in the first and second needle images respectively. The temperature difference in the identified image is greater than the preset value T thresh0 All pixels of compose the thermal effect increase area, that is, (x, y)∈area and ΔT(x, y)>T thresh0 , the average temperature of all pixels corresponding to the thermal effect increase area is T area , the average temperature when recording the next frame of the image in this area is T′ area .

[0034] ②Continuously record the thermal effect increase area composition. The thermal effect increase area sequence is:

[0035] S A ={area 1 ,area 2 ,…area i},

[0036] The average temperature series is:

[0037]

[0038] The average temperature sequence of the next frame of each sequence element is:

[0039]

[0040] The pixel point sets in all element areas in S are combined to obtain the historical thermal effect increase area A i ;

[0041] ③ When the historical thermal effect increase area increases for N consecutive frames (N is the preset value) and The values ​​of all elements in are less than the preset value T thresh1 , it is determined that bleeding occurs.

[0042] According to the size and increasing speed of the newly appeared thermal effect area, the bleeding volume and bleeding speed are estimated. When the bleeding volume and bleeding speed are greater than the preset value, the bleeding person is determined to be a wounded person who needs blood transfusion and is judged to be seriously bleeding. The total amount of bleeding in the i+1th frame image is estimated as follows:

[0043]

[0044] Where k is the area-to-bleeding volume ratio calibration coefficient, is the area of ​​the region increased by the historical thermal effect at the i+1th frame image, and the estimated real-time bleeding speed is Where Δt is the time interval between two frames of images.

[0045] According to the positional relationship between the newly emerged thermal effect area and various parts of the human body in the image, the part closest to the two is determined as the bleeding part. The pixel position of the key points of the bones of each person in the car in the image is located by using the human skeleton key point recognition technology in image recognition technology, and S is calculated. A The first element area 1 The distance between all pixels and all skeleton key points in the image is calculated, and the human body part to which two or more skeleton key points have the smallest distance is taken as the bleeding part. The information on the bleeding situation of the injured person who needs blood transfusion in the car is generated, including the position of the injured person, blood type, bleeding part, bleeding amount and bleeding speed.

[0046] Embodiment 2,

[0047] In this embodiment, a traffic-related injury pre-hospital rescue system is disclosed. Figure 2 The system block diagram of the rescue system in this embodiment is disclosed. It can be seen from the figure that this embodiment includes:

[0048] Traffic injury emergency rescue system platform, user APP, and vehicle-mounted terminal.

[0049] The vehicle-mounted terminal has built-in acceleration measurement module, camera module, voice communication interaction module, one-button alarm and rescue module, navigation information acquisition module, Bluetooth communication module, and infrared thermal imaging module.

[0050] The Bluetooth communication module communicates with the locomotive system or the mobile phone via Bluetooth to obtain the vehicle navigation route information, and uploads the navigation route information to the traffic injury emergency system platform.

[0051] The voice communication interaction module is used to exchange information with the people in the car. When the vehicle starts, the basic information such as blood type, medical history, etc. of the people in the car and the driver and passengers in the corresponding positions are asked and saved in the on-board terminal. It is also used to communicate with the people in the car after an accident, obtain information on the condition of the injured, and convey first aid and self-rescue information.

[0052] The acceleration is used to measure the acceleration value of the vehicle during driving. When the acceleration value exceeds the preset value, the terminal will ask the occupants whether to initiate an emergency call. If a response is received that an emergency call needs to be initiated or no response is received or a one-button alarm signal is triggered, it is determined that the vehicle has been in a serious traffic accident.

[0053] The infrared thermal imaging module is used to capture the thermal radiation generated by blood loss and local temperature changes, so as to determine whether the occupants of the vehicle are bleeding and the severity of the bleeding. Specifically, multiple thermal imagers are installed on the dashboard, front window, roof and other locations in the vehicle. When the acceleration value exceeds the preset value during driving, the infrared imaging module is called to obtain the thermal imaging images of the vehicle in real time. If no response is received from the occupants of the vehicle, image recognition is performed on the thermal imaging images of the vehicle obtained above, and the temperature changes in the image are estimated to determine the position, number, body surface temperature, whether bleeding is occurring, and the amount and speed of bleeding of the occupants.

[0054] Among them, whether bleeding occurs is determined by analyzing the changes in the thermal imaging images before and after in time. When a new thermal effect area appears in the subsequent image compared with the previous image and the temperature of the new thermal effect area is maintained relative to the temperature of the next frame image, bleeding is determined to occur.

[0055] Specifically, the following steps are included:

[0056] ① Calculate the temperature difference of all pixels on two frames of thermal imaging images at a preset time interval (e.g. 500 milliseconds) ΔT(x, y) = T 2 (x,y)-T 1 (x,y), where T 1 (x,y) and T 2 (x, y) are the temperatures of the pixel (x, y) in the first and second needle images respectively. The temperature difference in the identified image is greater than the preset value T thresh0 All pixels of compose the thermal effect increase area, that is, (x, y)∈area and ΔT(x, y)>T thresh0 , the average temperature of all pixels corresponding to the thermal effect increase area is T area, the average temperature when recording the next frame of the image in this area is T′ area .

[0057] ②Continuously record the thermal effect increase area composition. The thermal effect increase area sequence is:

[0058] S A ={area 1 ,area 2 ,…area i},

[0059] The average temperature series is:

[0060]

[0061] The average temperature sequence of the next frame of each sequence element is:

[0062]

[0063] The pixel point sets in all element areas in S are combined to obtain the historical thermal effect increase area A i ;

[0064] ③ When the historical thermal effect increase area increases for N consecutive frames (N is the preset value) and The values ​​of all elements in are less than the preset value T thresh1 , it is determined that bleeding occurs.

[0065] According to the size and increasing speed of the newly appeared thermal effect area, the bleeding volume and bleeding speed are estimated. When the bleeding volume and bleeding speed are greater than the preset value, the bleeding person is determined to be a wounded person who needs blood transfusion and is judged to be seriously bleeding. The total amount of bleeding in the i+1th frame image is estimated as follows:

[0066]

[0067] Where k is the area-to-bleeding volume ratio calibration coefficient, is the area of ​​the region increased by the historical thermal effect at the i+1th frame image, and the estimated real-time bleeding speed is Where Δt is the time interval between two frames of images.

[0068] According to the positional relationship between the newly emerged thermal effect area and various parts of the human body in the image, the part closest to the two is determined as the bleeding part. The pixel position of the key points of the bones of each person in the car in the image is located by using the human skeleton key point recognition technology in image recognition technology, and S is calculated. A The first element area 1The distance between all pixels and all skeleton key points in the image is calculated, and the human body part to which two or more skeleton key points have the smallest distance is taken as the bleeding part. The information on the bleeding situation of the injured person who needs blood transfusion in the car is generated, including the position of the injured person, blood type, bleeding part, bleeding amount and bleeding speed.

[0069] The in-vehicle terminal can also make 120 emergency calls and obtain emergency call response information, including the name and location of the responding hospital, and call third-party map services to estimate the time required to drive from the hospital to the accident site under current road conditions. If the time is greater than the preset value, it will be reported to the traffic injury emergency platform and a pre-hospital emergency request will be initiated.

[0070] Specifically, when initiating a pre-hospital emergency request, the on-board terminal obtains real-time images, sounds, and thermal imaging images inside the vehicle through the camera module, voice communication interaction module, and infrared thermal imaging module, and synchronizes them to the traffic injury emergency system platform. At the same time, it uploads vehicle accident information including vehicle location, injuries to people in the vehicle, bleeding conditions, and other information.

[0071] After receiving the pre-hospital emergency rescue request, the traffic injury emergency rescue platform responds to the pre-hospital emergency rescue request.

[0072] According to the pre-established mapping table of traffic accident manifestations, first aid measures and required items, for example, the traffic accident manifestation of the car window cannot be opened corresponds to the first aid measure of breaking the window and the required item of the window breaker, and the traffic accident manifestation of bleeding corresponds to the first aid measures of disinfection, hemostasis, bandaging and the required items of alcohol or iodine, hemostatic drugs, gauze and bandages. A default traffic injury first aid plan is established, which includes the first aid measures and required items required for general serious traffic accidents.

[0073] Obtain the information reported by the corresponding vehicle terminal, perform image recognition to obtain the current status of the occupants in the vehicle, perform voice recognition on the audio information to extract text, obtain information and keywords on the manifestations of the traffic accident based on the obtained vehicle and occupant status and text, generate a preliminary pre-hospital first aid plan based on the traffic accident manifestations, first aid measures, and required items mapping table, and send it to the hospital platform system. If the above information and keywords are not obtained, the default traffic injury first aid plan will be used as the preliminary pre-hospital first aid plan.

[0074] Based on the pre-hospital emergency plan returned by the hospital platform, the elements in the plan are divided into a list of required items and a list of operators, and detailed division is carried out based on the purpose of the items and the type of operation;

[0075] Acquire App user information within L kilometers of the traffic accident scene (L is the preset value), and use the corresponding users as potential Class I rescuers for pre-hospital emergency care; acquire vehicle information passing through the traffic accident scene in all navigation route information of the traffic injury emergency care platform, and use the corresponding persons in the vehicles as potential Class II rescuers for pre-hospital emergency care.

[0076] Traffic accident information is released to potential rescuers, including location information, real-time images and videos of the scene, the condition of the injured, a list of required items (such as window breakers, cutters, scissors, bandages, gauze, alcohol, syringes, etc.), a list of required operators (such as breaking windows, cutting doors and windows, disinfection, hemostasis, cardiopulmonary resuscitation), etc.; when severe bleeding occurs, the above-mentioned traffic accident information also includes the blood type that matches the blood type of the injured who need blood transfusion.

[0077] Obtaining response information of potential rescuers, including location information of potential first-class rescuer App users, available modes of transportation to the accident site (such as walking, cycling, driving, etc.), required items that can be provided, and operators who can act. The on-board terminal of the vehicle where the potential second-class rescuer is located initiates interaction to obtain items that the vehicle can provide and operators who can act. A potential rescuer can select multiple items that can be provided and multiple operators who can act. When severe bleeding occurs, the response information of the potential rescuers obtained above also includes the blood type that can be provided for donation.

[0078] For the information obtained from the above potential rescuers’ responses, the platform calculates the time it takes for the corresponding potential rescuers to arrive at the accident scene in real time, and matches all the required items, operators, and blood donors based on the principle of shortest time. The successfully matched potential rescuers are pre-hospital emergency rescuers. The platform sends emergency assistance tasks to the successfully matched pre-hospital emergency rescuers, notifying them to go to the accident scene, and establishes a real-time communication group for pre-hospital emergency collaborative communication.

[0079] The main functions of the user App are: to collect user information, such as occupation, skills, gender, age, location information, etc.; to publish pre-hospital emergency information for traffic injuries, such as the location of the accident, accident conditions, pre-hospital emergency plans, required items and operators, etc.; to collect user responses to published emergency information; to issue emergency assistance tasks to matched potential rescuers, and to communicate and share information on the implementation of pre-hospital emergency plans; when any person arrives at the scene, the App can be used to report the accident scene, the number of injured, the condition of the injured and other information, so that rescuers, hospital platforms and doctors can adjust the emergency plans.

[0080] The hospital platform is used for guidance of pre-hospital emergency plans, emergency vehicle dispatch, on-site emergency care and in-hospital emergency care, etc.

[0081] The user app also includes the following features:

[0082] Receive 120 emergency calls or accept emergency requests from emergency centers and make emergency responses;

[0083] Receive images, videos, audio, vehicle accident information, etc. from the traffic injury emergency rescue platform, guide pre-hospital emergency rescue plans and generate in-hospital emergency rescue plans;

[0084] Medical staff join the real-time communication group for pre-hospital emergency care through the medical staff terminal, synchronize emergency information, and jointly guide on-site pre-hospital emergency care.

[0085] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A traffic injury pre-hospital rescue system, characterized in that: The pre-hospital rescue system comprises: Emergency platform, hospital platform, user terminal and vehicle terminal, among which, The first aid platform is connected to the hospital platform, the user terminal and the vehicle terminal, and is configured to receive information sent by the hospital platform, the user terminal and the vehicle terminal, process and divide the information, distribute different information to corresponding terminals according to the type of information, and send first aid information to the hospital platform according to the result of information processing; The hospital platform is connected to the emergency platform and is configured to, according to the emergency information, split the elements in the emergency information into a list of required items and a list of operators, and split them according to the purpose of the items and the type of operation; The user terminal is connected to the emergency platform and is configured to store user information in the user terminal and send the user information to the emergency platform after a traffic accident is detected; The vehicle-mounted terminal is installed on the vehicle and connected to the emergency platform and is configured to obtain vehicle driving data, determine whether a traffic accident has occurred based on the form data, and initiate a distress signal.

2. The traffic injury pre-hospital rescue system according to claim 1, characterized in that: The user terminal also includes the user's response to the release of emergency information, the release of emergency assistance tasks to matched potential rescuers, pre-hospital emergency plan implementation communication and information sharing, On-site personnel report the accident scene, the number of injured persons, and the condition of the injured persons to the emergency rescue platform through the user terminal.

3. The traffic injury pre-hospital rescue system according to claim 1, characterized in that: The first aid information includes judging the traffic accident manifestation according to the information sent by the user terminal and the vehicle terminal, formulating first aid measures according to the judgment results, and generating a mapping table of required first aid drugs and a preliminary pre-hospital first aid plan according to the first aid measures. If the information sent by the user terminal and the vehicle-mounted terminal is insufficient to judge the manifestation of the traffic accident, the default traffic injury first aid plan will be used as the preliminary pre-hospital first aid plan.

4. The traffic injury pre-hospital rescue system according to claim 1, characterized in that: The vehicle-mounted terminal includes a Bluetooth communication module, a voice communication interaction module and a sensor module, wherein: The Bluetooth communication module is configured to communicate with the vehicle system or the mobile phone via Bluetooth to obtain vehicle navigation route information and upload the navigation route information to the emergency platform; The voice communication interaction module is configured to interact with the passengers in the vehicle. When the vehicle starts, the blood type, medical history and other basic information of the occupants and the driver and passengers at the corresponding positions are asked and saved in the vehicle terminal. When a vehicle has an accident, communicate with the people in the vehicle to obtain information about the injured and convey first aid and self-rescue information; The sensor module includes an acceleration sensor submodule and an infrared thermal imaging submodule. The acceleration sensor submodule is configured to measure the acceleration value of the vehicle during driving. When the acceleration value exceeds a preset value, the terminal sends a query to the occupants whether an emergency call needs to be initiated. If a response is received that an emergency call needs to be initiated, or no response is received, or a one-button alarm distress signal is triggered, it is determined that the vehicle has a serious traffic accident; The infrared thermal imaging submodule is coupled to the acceleration sensor submodule and configured such that when the acceleration sensor submodule detects that the acceleration value exceeds a preset value, the infrared thermal imaging submodule is activated, and the infrared thermal imaging module is used to capture the thermal radiation generated by blood loss and local temperature changes to determine whether the person in the vehicle is bleeding and the severity of the bleeding.

5. The traffic injury pre-hospital rescue system according to claim 4, characterized in that: The infrared thermal imaging submodule also includes image recognition of the acquired thermal imaging image inside the vehicle, estimating the temperature change in the image, and judging the position, number, body surface temperature, whether bleeding occurs, the amount of bleeding, and the bleeding speed of the people inside the vehicle.

6. The traffic injury pre-hospital rescue system according to claim 5, characterized in that: The image recognition comprises: Calculate the temperature difference of all pixels in two frames of thermal imaging images at a preset time interval. ΔT(x,y)=T2(x,y)-T1(x,y), Among them, T1(x,y) and T2(x,y) are the temperatures of the pixel point (x,y) in the first and second needle images respectively. The temperature difference in the recognition image is greater than the preset value T thresh0 All pixels of compose the thermal effect increase area, that is, (x, y)∈area and ΔT(x, y)>T thresh0 , The average temperature of all pixels in the thermal effect increase area is T area , the average temperature when recording the next frame of the image in this area is T′ area ; Continuously record the areas of increased thermal effect to form a sequence of areas of increased thermal effect: S A ={area1,area2,…area i }, The average temperature series is: The average temperature sequence of the next frame of each sequence element is: The pixel point sets in all element areas in S are combined to obtain the historical thermal effect increase area A i ; When the historical thermal effect increase area increases for N consecutive frames (N is a preset value) and The values ​​of all elements in are less than the preset value T thresh1 When , it is determined that bleeding occurs.

7. The traffic injury pre-hospital rescue system according to claim 6, characterized in that: The image recognition further includes: estimating the amount of bleeding and the bleeding speed according to the size and the increasing speed of the newly appeared thermal effect area, When the amount of bleeding and the bleeding speed are greater than the preset values, the bleeding person is determined to be a casualty requiring blood transfusion and is judged to be in a severe bleeding situation; The estimated bleeding volume and bleeding speed are, When the i+1th frame image is used, the total amount of bleeding is estimated as follows: Where k is the area-to-bleeding volume ratio calibration coefficient, is the area of ​​the region increased by the historical thermal effect at the i+1th frame image, and the estimated real-time bleeding speed is, Where Δt is the time interval between two frames of images.

8. A method for pre-hospital rescue of traffic casualties, characterized in that: The rescue method includes: S100, the vehicle terminal obtains the vehicle driving status information and the situation information of the people in the vehicle, and determines whether a traffic accident occurs; S200, when a traffic accident occurs, the vehicle terminal sends the collected information to the emergency rescue platform; S300, the emergency rescue platform analyzes the accident situation and the information of potential rescuers around the accident scene according to the information sent by the vehicle terminal and the user terminal, and releases the accident information, the list of required items, the list of required operators and the pre-hospital emergency rescue plan to the potential rescuers; S400, the emergency platform obtains the response information of the potential rescuer sent by the hospital platform, and sends the real-time data fed back by the vehicle terminal to the hospital platform.

9. The method for pre-hospital rescue of traffic casualties according to claim 8, characterized in that: The real-time data includes: the thermal imaging image in the vehicle sent by the vehicle terminal, and the bleeding information of the injured person determined based on the thermal imaging image in the vehicle, Including the location of the injured person, blood type, bleeding site, bleeding amount and bleeding speed.

10. The method for pre-hospital rescue of traffic casualties according to claim 9, characterized in that: The bleeding condition information of the injured person is obtained by judging the following method: Calculate the temperature difference of all pixels in two frames of thermal imaging images at a preset time interval. ΔT(x,y)=T2(x,y)-T1(x,y), Among them, T1(x,y) and T2(x,y) are the temperatures of the pixel point (x,y) in the first and second needle images respectively. The temperature difference in the recognition image is greater than the preset value T thresh0 All pixels of compose the thermal effect increase area, that is, (x, y)∈area and ΔT(x, y)>T thresh0 , The average temperature of all pixels in the thermal effect increase area is T area , the average temperature when recording the next frame of the image in this area is T′ area ; Continuously record the areas of increased thermal effect to form a sequence of areas of increased thermal effect: S A ={area1,area2,…area i }, The average temperature series is: The average temperature sequence of the next frame of each sequence element is: The pixel point sets in all element areas in S are combined to obtain the historical thermal effect increase area A i ; When the historical thermal effect increase area increases for N consecutive frames, at the same time: The values ​​of all elements in are less than the preset value T thresh1 When , it is determined that bleeding occurs; According to the size and increasing speed of the new heat effect area, the amount and speed of bleeding are estimated. When the amount of bleeding and the bleeding speed are greater than the preset values, the bleeding person is determined to be a casualty who needs a blood transfusion and is judged to be in a severe bleeding situation. The total amount of bleeding at the i+1th frame is estimated as follows: Where k is the calibration coefficient of the ratio of area to bleeding volume, is the area of ​​the region increased by the historical thermal effect at the i+1th frame image, The estimated real-time bleeding rate is: Among them, Δt is the time interval between two frames of images; According to the positional relationship between the newly emerged thermal effect area and various parts of the human body in the image, the part closest to the two is determined to be the bleeding part. Through the recognition of human skeleton key points in image recognition technology, the pixel positions of the skeleton key points of each person in the car are located in the image. Calculate S A The distance between all pixels in the first element area area1 and all the pixel points of the skeleton key points is taken as the human body part to which two or more skeleton key points with the smallest distance belong as the bleeding part. Finally, we obtained information about the bleeding condition of the injured in the car.

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