A mass multiple trauma first aid skill training platform

By combining data collectors, event simulation terminals, and processing centers, the status of training targets can be monitored and evaluated in real time, solving the problem of real-time feedback in existing technologies and achieving efficient judgment and evaluation of training results.

CN120199127BActive Publication Date: 2025-12-09BEIJING CHAOYANG HOSPITAL CAPITAL MEDICAL UNIVERSITY
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Patent Information

Application Number
CN202510418850.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-03
Publication Date
2025-12-09
Estimated Expiration
2045-04-03

AI Technical Summary

Technical Problem

Existing technologies cannot provide real-time feedback, which prevents training platforms from conducting real-time operational evaluations and identifying problems during the training process, thus failing to meet training requirements.

Method used

It employs a combination of several data collectors, event simulation terminals, feedback collectors, and a processing center to monitor and evaluate the status of training targets in real time, and provides real-time feedback by using environmental interaction models and physiological models to determine risks.

Benefits of technology

It improves the accuracy and timeliness of training result judgment, simplifies the process of judging training results, and enhances the real-time operation evaluation capability of the training platform.

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Abstract

The present application relates to the technical field of scene simulation management, and more particularly to a group multiple injury first-aid skill training platform, comprising: a plurality of collectors for collecting the actions of training targets; a plurality of event simulation terminals for generating corresponding simulation scene events; a plurality of feedback collectors arranged together with the event simulation terminals for collecting the collector states of the collectors and monitoring the target states of the training targets in the corresponding areas in response to the generation of the simulation scene events; and a processing center for forming a corresponding database according to the scene events and sending the corresponding states to the corresponding collectors for prompting in response to the confirmation of the target states; the present application determines the corresponding collector states according to the collectors, avoids the data output delay caused by processing all data by the processing center, and thus effectively improves the timeliness of the training platform in judging the training targets.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of scene simulation management, and particularly relates to a group multiple injury first-aid skill training platform. BACKGROUND

[0002] As a high-frequency and highly destructive sudden disaster, fire, especially in densely populated areas such as high-rise buildings and underground commercial areas, often causes group multiple injuries, including burns, trauma, poisoning, suffocation and other concurrent injuries. Such complex injuries not only pose a serious challenge to on-site first aid, but also put a huge pressure on the subsequent treatment process and resource allocation. Traditional emergency treatment training mainly relies on on-site drills and simple simulations, which are difficult to fully simulate fire scenes and group injury handling processes due to limitations in space, time and resources.

[0003] Chinese Patent Application Publication No. CN119004857B discloses an emergency decision simulation system based on behavior tree and multi-resolution disaggregation. The emergency decision simulation system based on behavior tree and multi-resolution disaggregation includes a decision simulation system and a simulation deduction system; the decision simulation system includes a decision rule editor and a decision scheduling engine; the decision rule editor includes a mission layer, a task layer and an action layer; the mission layer behavior tree, the task layer behavior tree and the action layer behavior tree are linked through reference nodes; the mission layer behavior tree takes the prevention reference node, the search and rescue reference node, the first-aid reference node and the transfer reference node as the lowest level nodes of the mission layer behavior tree and the root nodes of the task layer behavior tree, and is provided with a situation processing node and a blackboard decoration node, so that the resolution gap and its influence on the simulation emergency exercise are reduced, and the flexibility of the simulation emergency exercise and its cooperation with the real-time environment are improved.

[0004] However, the above method has the following problems: it cannot provide real-time feedback on the test process, thereby making it difficult to provide real-time operation evaluation for the user, helping the user to find problems in training and correct them immediately, and thus the training platform cannot meet the training requirements. SUMMARY

[0005] Therefore, the present application provides a group multiple injury first-aid skill training platform to overcome the problem that the prior art cannot provide real-time feedback on the test process, thereby making it difficult to provide real-time operation evaluation for the user, helping the user to find problems in training and correct them immediately, and thus the training platform cannot meet the training requirements, thereby reducing the timeliness of the feedback of the training platform.

[0006] To achieve the above-mentioned purpose, in one aspect, the present application provides a group multiple injury first-aid skill training platform, comprising:

[0007] a plurality of collectors arranged at predetermined positions of each training target to collect the action of the training target and to prompt the target state of the training target;

[0008] a plurality of event simulation terminals arranged in corresponding scenes to generate corresponding simulation scene events;

[0009] a plurality of feedback collectors arranged with the event simulation terminals to collect the collector state of the collectors and to monitor the target state of each training target in the corresponding area in response to the generation of the simulation scene events;

[0010] a processing center connected with each collector, each event simulation terminal and each feedback collector to record the collector state, the scene event and each target state, to form a corresponding database according to the scene event, and

[0011] to form a corresponding index according to the scene event, and

[0012] to send the corresponding state to the corresponding collector for prompting in response to the confirmation of the target state;

[0013] wherein, for a single training target, at least two collectors correspond thereto, and each collector is fixed at a different position of the training target.

[0014] Further, the event simulation terminal at least includes a height parameter and a position parameter, and is arranged in groups according to the position parameter, and a single group of event simulation terminals at least includes one event simulation terminal.

[0015] The feedback collector is arranged corresponding to each group of event simulation terminals, and a single group of feedback collectors corresponds to a single group of event simulation terminals.

[0016] Further, for any feedback collector, in response to the generation of the simulation scene event, the feedback collector determines the corresponding training target position according to the feedback of each collector, and determines the target state of each training target in the monitoring area of the feedback collector according to the state of the corresponding collector and the simulation scene event.

[0017] Further, the processing center is further provided with a plurality of models to determine the target state of the corresponding collector according to the feedback collector, and to feed back the target state generated by the model to the corresponding collector.

[0018] wherein, the model at least includes an environmental interaction model and a physiological model.

[0019] Further, the environment interaction model is a model for the feedback collector to determine according to the height of the collector and the staying time at each height, the feedback collector is provided with a maximum safe height and a maximum risk height, wherein the maximum safe height is less than the maximum risk height;

[0020] For a single training target, if each collector arranged at the training target is not greater than the maximum safe height, the feedback collector determines that the training target is in a safe state at the corresponding area;

[0021] If any collector arranged at the training target is not less than the maximum risk height, the feedback collector determines that the training target is in a risk state at the corresponding area.

[0022] Further, the processing center is provided with a risk time and a danger time, wherein the risk time is not less than the danger time;

[0023] For a single training target, if any collector arranged at the training target stays in an area greater than the maximum safe height and less than the maximum risk height for the risk time, the processing center determines that the training target is in a risk state;

[0024] If any collector arranged at the training target stays in an area greater than the maximum risk height for the danger time, the processing center determines that the training target is in a risk state.

[0025] Further, for a single collector, when receiving the target confirmation information from the processing center,

[0026] In response to the processing center or the feedback collector determining that the collector is in a risk state, prompting a risk state;

[0027] In response to the processing center and the feedback collector determining that the collector is in a risk state, prompting a danger state, and shutting down each collector of the training target corresponding to the collector.

[0028] On the other hand, the application also provides a group mass casualty first aid skill training platform, comprising:

[0029] A plurality of collectors arranged at the predetermined positions of each training target to collect the actions of the training target, and to prompt the target state of the training target;

[0030] A plurality of event simulation terminals arranged in the corresponding scenes to generate corresponding simulation scene events;

[0031] a plurality of feedback collectors arranged together with the event simulation terminal or collector, for collecting collector states of the collectors, and monitoring target interaction states of each training target in the corresponding area in response to generation of the simulation scene event, and forming active interaction targets and passive interaction targets corresponding to the simulation scene event;

[0032] a processing center connected with each collector, each event simulation terminal and each feedback collector, for recording the collector states, the scene event and the target states, and forming a corresponding database according to the scene event, and

[0033] forming a corresponding index according to the scene event, and

[0034] for sending the target states of each passive interaction target to the corresponding collector for prompting in response to confirmation of the target interaction state, and

[0035] judging the target interaction state of the active interaction target and the corresponding passive interaction target;

[0036] wherein, for a single passive interaction target, there are at least two collectors corresponding to the passive interaction target, and each collector is fixed at a different position of the training target;

[0037] for a single active interaction target, there are at least one collector and one feedback collector corresponding to the active interaction target.

[0038] Further, for a single active interaction target, the processing center judges the active interaction target according to information collected by the feedback collector corresponding to the target, and the target state of the passive interaction target corresponding to the active interaction target, including:

[0039] if the passive interaction target is in a risk state, the corresponding active interaction target completes a rescue operation, and the target state of the active interaction target is judged as a success state;

[0040] if the passive interaction target is in a risk state, the corresponding active interaction target does not complete a rescue operation, and the target state of the active interaction target is judged as a failure state;

[0041] wherein, the rescue operation includes a language operation and a motion operation.

[0042] Further, when the active interaction target is in a failure state, the corresponding passive interaction target stops the corresponding collectors.

[0043] Compared with the prior art, the beneficial effects of the present application are that the platform is constructed by setting a plurality of collectors, a plurality of event simulation terminals, a plurality of feedback collectors and a processing center, the corresponding collector state is determined according to the collector, and the target state is confirmed and determined according to the feedback of the processing center, thereby effectively improving the accuracy of determining the training result, avoiding the data output delay caused by processing all data by the processing center only, and effectively improving the timeliness of the training platform in determining each training target.

[0044] Further, the emergency event is simulated by setting a plurality of event simulation terminals at different heights and different positions, and the feedback collector is set together with the event simulation terminal, the scene and the corresponding event are projected to the appropriate position according to the pre-set scene, and the collector is placed in the corresponding position to simulate the scene, thereby effectively improving the accuracy of scene simulation, and further improving the timeliness of the training platform in determining each training target without relying on the collector.

[0045] Further, the training target is recorded and confirmed by setting a plurality of models, and the corresponding target state is transmitted to the corresponding collector according to the confirmation of the model, thereby effectively improving the accuracy of determining the target state.

[0046] Further, the training target is quickly divided by setting different risk levels, and the training target is further confirmed by cooperating with the model set by the processing center, thereby effectively improving the timeliness of determining each training target, quickly classifying the training target, and effectively simplifying the judgment process of the training result. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 FIG. 1 is a structural schematic diagram of a mass trauma emergency skill training platform according to the present application;

[0048] Figure 2 FIG. 2 is a structural schematic diagram of a training platform according to an embodiment of the present application. DETAILED DESCRIPTION

[0049] In order to make the purpose and advantages of the present application clearer and more apparent, the present application will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application.

[0050] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0051] It should be noted that in the description of the present application, the terms indicating the direction or positional relationship of "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or positional relationship shown in the drawings, which is only for the convenience of description, and does not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0052] In addition, it should be noted that in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected, it can be mechanically connected, or it can be electrically connected, it can be directly connected, or indirectly connected through an intermediate medium, it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0053] Please refer to Figure 1 It is a structure schematic diagram of the aerobic granular sludge-based aeration system of the present application, and the aerobic granular sludge-based aeration system utilizes aeration to drive sludge and water flow to move in a biochemical tank, which comprises:

[0054] Please refer to Figure 1 It is a mass multiple trauma first aid skill training platform of the present application, which comprises:

[0055] A plurality of collectors are arranged at predetermined positions of each training target to collect the actions of the training target, and to prompt the target state of the training target;

[0056] A plurality of event simulation terminals are arranged in the corresponding scenes to generate corresponding simulation scene events;

[0057] A plurality of feedback collectors are arranged together with the event simulation terminals to collect the collector states of the collectors, and in response to the generation of the simulation scene events, to monitor the target states of each training target in the corresponding area;

[0058] A processing center is connected to each collector, each event simulation terminal and each feedback collector to record the collector states, the scene events and each target state, and to form a corresponding database according to the scene events, and

[0059] According to the scene events, a corresponding index is formed, and

[0060] In response to the confirmation of the target state, the corresponding state is sent to the corresponding collector for prompting;

[0061] Among them, for a single training target, it corresponds to at least two collectors, and each collector is fixed at a different position of the training target.

[0062] The present application constructs a platform by setting a plurality of collectors, a plurality of event simulation terminals, a plurality of feedback collectors and a processing center, determines the corresponding collector state according to the collector, and confirms and judges the target state according to the feedback of the processing center, which effectively improves the accuracy of judging the training results, avoids the data output delay caused by processing all data by the processing center, and effectively improves the timeliness of the training platform in judging each training target.

[0063] For the above scheme, it can be applied in chemical poisoning emergency disposal, such as:

[0064] Collector: In the scene of chemical poisoning event, multiple collectors are provided for each rescuer, which are fixed on the arms and waists of the rescuers. The collector on the arm is used to monitor the vital signs of the rescuer in real time, such as heart rate, blood pressure, respiratory rate, etc.; the collector on the waist is used to detect the concentration of toxic gas in the surrounding environment.

[0065] Event simulation terminal: An event simulation terminal is set in the emergency command center, which simulates the danger level and diffusion trend of different areas according to the known chemical leakage situation. For example, the area near the leakage source is a high-risk area with extremely high gas concentration, and the personnel need to wear high-level protective equipment; the area slightly far away is a medium-risk area with gradually decreasing gas concentration, but still needs protection; the outer periphery is a low-risk area that is relatively safe but needs to be vigilant.

[0066] Feedback collector: Feedback collectors are set in each area to collect the state information of the on-site collectors, such as whether the vital sign collector is working normally, the power condition of the toxic gas collector, etc. At the same time, in response to the simulated scene event generated by the event simulation terminal, the target state of the rescuers in each area is monitored, including whether they are exposed to high-concentration toxic gas and whether they have symptoms of poisoning, etc.

[0067] Processing center: The processing center receives data from the collectors and feedback collectors, records information such as vital signs, environmental gas concentration, collector state, etc., and forms a database according to these data. At the same time, according to the simulated scene event, an index is formed, such as classification index according to the danger level of the area and the state of the rescuers. When it is confirmed that a rescuer has an abnormal target state, such as abnormal increase of heart rate or exposure to high-concentration toxic gas, the processing center immediately sends the corresponding state information to the arm collector of the rescuer, prompting him to pay attention to his own condition through vibration or sound, and timely evacuate or take protective measures.

[0068] It can also be applied in infectious disease emergency drills, such as:

[0069] Collector: In the infectious disease emergency drill, multiple collectors are provided for the simulated patients and medical staff respectively. The collectors on the simulated patients are fixed on the wrists and necks to monitor vital signs such as body temperature and pulse; the collectors on the medical staff are fixed on the chests and waists of the protective clothing, the chest collector monitors vital signs such as heart rate and respiratory rate, and the waist collector records the action trajectory of the medical staff during the drill.

[0070] Event simulation terminal: An event simulation terminal is set up in the drill site to simulate different epidemic development situations according to the transmission characteristics of infectious diseases and the drill scene. For example, it simulates that a number of simulated patients in a certain area suddenly have symptoms such as elevated body temperature and cough, indicating that an outbreak may have occurred; or it simulates that a medical staff member has abnormal changes in body temperature and heart rate detected by the collector after contacting a simulated patient, indicating a possible infection risk.

[0071] Feedback collector: Feedback collectors are set up in each area of the drill site to collect the status information of the on-site collectors, such as whether the vital sign collector accurately records data and whether the action trajectory collector works normally. At the same time, in response to the simulated scene events generated by the event simulation terminal, the target states of the simulated patients and medical staff in each area are monitored, including the changes in symptoms of the simulated patients and the execution of protective measures by the medical staff.

[0072] Processing center: The processing center receives and records the collector status, scene events, and target states to form a database. According to the simulated scene events, indexes are formed, such as classification indexes according to the severity of the simulated patients' symptoms and the infection risk level of the medical staff. When the target state of a simulated patient or medical staff changes, such as the simulated patient having difficulty breathing or the medical staff's protective equipment being damaged, the processing center immediately sends the corresponding state information to the collector of the relevant personnel, reminding them to take appropriate measures through screen display or voice prompts, such as the simulated patient needing immediate further examination and treatment, and the medical staff needing to replace protective equipment.

[0073] Specifically, the event simulation terminal at least includes a height parameter and a position parameter, and is set in groups according to the position parameter, and a single group of event simulation terminals at least includes one event simulation terminal;

[0074] The feedback collector is set up corresponding to each group of event simulation terminals, and a single group of feedback collectors corresponds to a single group of event simulation terminals.

[0075] In implementation, for the earthquake disaster medical rescue emergency drill:

[0076] Collector: In the earthquake disaster rescue drill site, collectors are provided for rescuers and simulated wounded. Rescuers are equipped with multiple collectors, which are fixed on the head (to monitor head injuries), waist (to monitor action posture), and legs (to monitor leg injuries); simulated wounded are equipped with collectors on the arms (to monitor vital signs) and ankles (to monitor action ability).

[0077] Event simulation terminal:

[0078] Height and location parameters: Event simulation terminals are set in groups according to the terrain and building distribution of the earthquake disaster site, according to height and location parameters. For example, simulated terminals are divided into ground layer, two-story building interior, three-story building interior, and other height groups, each group containing at least one event simulation terminal.

[0079] Function: Event simulation terminals on the ground layer are used to simulate ground collapse, aftershocks, and other scene events; event simulation terminals in the two-story building interior are used to simulate building structure damage, trapped personnel distress, and other scene events; event simulation terminals in the three-story building interior are used to simulate fires, trapped personnel injuries, and other scene events.

[0080] Feedback collector:

[0081] Setting: Each group of event simulation terminals corresponds to a group of feedback collectors. For example, event simulation terminals on the ground layer correspond to a group of feedback collectors, event simulation terminals in the two-story building interior correspond to another group of feedback collectors, and so on.

[0082] Function: Feedback collectors collect state information of corresponding area collectors, such as whether rescuers and simulated wounded collectors are working normally or damaged. At the same time, in response to scene events generated by event simulation terminals, they monitor the target state of rescuers and simulated wounded in the corresponding area, such as whether rescuers are injured due to aftershocks or simulated wounded are trapped due to fires.

[0083] Processing center: The processing center receives data from collectors and feedback collectors, records collector states, scene events, and target states, and forms a database and index. When it confirms that the target state of a rescuer or simulated wounded has changed, it immediately sends the corresponding state information to the collector of the relevant personnel, prompting them to take appropriate measures, such as reminding rescuers to pay attention to aftershocks or guiding simulated wounded to evacuate dangerous areas.

[0084] For fire accident medical emergency drill:

[0085] Collector: In the fire accident drill site, collectors are provided for firefighters and simulated victims. Firefighters are equipped with multiple collectors, which are fixed on the head (to monitor the state of the breathing mask), the chest (to monitor the heart rate and respiratory rate), and the waist (to monitor the action trajectory); simulated victims are equipped with collectors on the wrist (to monitor vital signs) and the ankle (to monitor action ability).

[0086] Event simulation terminal:

[0087] Height parameter and location parameter: The event simulation terminal is set in groups according to the building floor and regional distribution of the fire site, according to the height and location parameters. For example, the simulation terminal is divided into different location groups such as the first floor hall, the second floor office, and the third floor warehouse, each group containing at least one event simulation terminal.

[0088] Function: The event simulation terminal in the first floor hall is used to simulate scenes such as smoke spreading and personnel evacuation in the early stage of fire; the event simulation terminal in the second floor office is used to simulate scenes such as fire spreading and trapped personnel calling for help; the event simulation terminal in the third floor warehouse is used to simulate scenes such as flammable material explosion and trapped personnel injury.

[0089] Feedback collector:

[0090] Setting: Each group of event simulation terminals corresponds to a group of feedback collectors. For example, the event simulation terminal in the first floor hall corresponds to a group of feedback collectors, the event simulation terminal in the second floor office corresponds to another group of feedback collectors, and so on.

[0091] Function: The feedback collector collects the state information of the corresponding area collector, such as whether the collector of the firefighter and the simulated victim is working normally or damaged. At the same time, in response to the scene event generated by the event simulation terminal, it monitors the target state of the firefighters and simulated victims in the corresponding area, such as whether the firefighter is suffering from heatstroke or the simulated victim is suffering from smoke poisoning.

[0092] Processing center: The processing center receives data from the collector and the feedback collector, records the collector state, the scene event, and each target state, and forms a database and an index. When it is confirmed that the target state of a firefighter or a simulated victim has changed, the processing center immediately sends the corresponding state information to the collector of the relevant personnel, prompting them to take appropriate measures, such as reminding the firefighter to pay attention to the high temperature and guiding the simulated victim to use the escape passage.

[0093] Specifically, for any feedback collector, in response to the generation of the simulation scene event, the feedback collector determines the training target position according to the feedback of each collector, and determines the target state of each training target in the monitoring area of the feedback collector according to the state of the corresponding collector and the simulation scene event.

[0094] The emergency event is simulated by setting several event simulation terminals at different heights and different positions, and setting the feedback collector together with the event simulation terminal. According to the pre-set scene, the scene and the corresponding event are projected to the appropriate position, and the collector is placed in the corresponding position to simulate the scene. While effectively improving the accuracy of scene simulation, the training platform can further improve the timeliness of judging each training target by observing the training target from the outside without relying on the collector.

[0095] Specifically, the processing center is also provided with several models for determining the target state of the corresponding collector according to the feedback collector, and feeding back the target state generated by the model to the corresponding collector.

[0096] The model at least includes an environmental interaction model and a physiological model.

[0097] By setting several models, the training target is recorded and confirmed, and the corresponding target state is transmitted to the corresponding collector according to the confirmation of the model, thereby effectively improving the accuracy of determining the target state.

[0098] For earthquake disaster medical rescue emergency drills:

[0099] The environmental interaction model feeds back the environmental data (such as earthquake intensity, aftershock frequency, building damage degree, etc.) collected by the collector and the position information of the collector, and analyzes the environmental risks of the rescue personnel and the simulated wounded. For example, when the feedback collector detects that an aftershock occurs in a certain area, and there are rescue personnel or simulated wounded in the area, the environmental interaction model will evaluate the potential threat of the aftershock to the personnel in the area, such as whether it may cause secondary collapse, personnel trapped, etc.

[0100] The physiological model collects vital sign data (such as heart rate, blood pressure, respiratory rate, etc.) monitored by the collector, and combines the evaluation results of the environmental interaction model to determine the target state. For example, if the feedback collector shows that the heart rate of a certain rescue personnel rises sharply and the respiratory rate accelerates when an aftershock occurs, the physiological model will judge that the rescue personnel may be in a state of high tension or be frightened, and even may have a risk of injury.

[0101] For fire drills:

[0102] The environmental interaction model analyzes the environmental risks of the firefighters and the simulated wounded according to the environmental data (such as smoke concentration, temperature, fire spread speed, etc.) collected by the feedback collector and the position information of the collector. For example, when the feedback collector detects that the smoke concentration in a certain area rises sharply, and there are firefighters or simulated wounded in the area, the environmental interaction model will evaluate the potential threat of the smoke to the personnel in the area, such as whether it may cause difficulty in breathing, obstructed vision, trapped, etc.

[0103] The physiological model collector monitors vital sign data (such as heart rate, respiratory rate, body temperature, etc.) and combines the evaluation result of the environmental interaction model to determine the target state. For example, if the feedback collector shows that a firefighter's heart rate is accelerated and body temperature is increased in a high-temperature environment, the physiological model will determine that the firefighter may be in a state of heatstroke or physical exhaustion; if the collector of the simulated wounded shows that the respiratory rate is abnormally accelerated and the blood oxygen saturation is decreased, the physiological model will determine that he may be in a dangerous state due to smoke poisoning.

[0104] Specifically, the environmental interaction model is a model for the feedback collector to determine according to the height of the collector and the staying time at each height. The feedback collector is provided with a maximum safe height and a maximum risk height, wherein the maximum safe height is less than the maximum risk height.

[0105] For a single training target, if each collector arranged at the training target is not greater than the maximum safe height, the feedback collector determines that the training target is in a safe state at the corresponding area.

[0106] If any collector arranged at the training target is not less than the maximum risk height, the feedback collector determines that the training target is in a risk state at the corresponding area.

[0107] Specifically, the processing center is provided with a risk time and a danger time, wherein the risk time is not less than the danger time.

[0108] For a single training target, if any collector arranged at the training target stays in an area greater than the maximum safe height and less than the maximum risk height for a risk time, the processing center determines that the training target is in a risk state.

[0109] If any collector arranged at the training target stays in an area greater than the maximum risk height for a danger time, the processing center determines that the training target is in a risk state.

[0110] Specifically, for a single collector, when receiving the target confirmation information of the processing center,

[0111] In response to the processing center or the feedback collector determining that the collector is in a risk state, it is prompted that it is in a risk state.

[0112] In response to the processing center and the feedback collector determining that the collector is in a risk state, it is prompted that it is in a danger state, and each collector of the training target corresponding to the collector is shut down.

[0113] By setting different risk levels, the training targets are quickly divided, and the model set by the processing center is further confirmed, which effectively improves the timeliness of judging each training target and quickly classifies the training targets, thereby effectively simplifying the judgment process of the training results.

[0114] Example 1: Earthquake disaster rescue drill

[0115] Parameter settings:

[0116] Maximum safe height: 10 meters (e.g., ground floor and first floor inside the building)

[0117] Maximum risk height: 20 meters (e.g., three-story building and above)

[0118] Risk duration: 30 seconds

[0119] Danger duration: 10 seconds

[0120] Scenario description:

[0121] In the earthquake disaster rescue drill, simulated casualties and rescue personnel are distributed in buildings at different heights.

[0122] Simulated casualty A is assigned to the second floor (height 15 meters) of a three-story building, and rescue personnel B searches on the first floor (height 5 meters).

[0123] Simulated casualty C is waiting for rescue on the fourth floor (height 25 meters) of a five-story building.

[0124] Judgment and measures of the processing center:

[0125] The collector of simulated casualty A stays in the area at a height of 15 meters for 35 seconds (exceeding the risk duration of 30 seconds), and the processing center determines that simulated casualty A is in a risk state, and the collector prompts a risk state.

[0126] The collector of rescue personnel B is always in the area at a height of 5 meters (less than the maximum safe height), and does not trigger a risk or danger state.

[0127] The collector of simulated casualty C stays in the area at a height of 25 meters for 12 seconds (exceeding the danger duration of 10 seconds), and the processing center determines that simulated casualty C is in a danger state, the collector prompts a danger state, and all collectors of simulated casualty C are shut down to avoid further risks.

[0128] By setting different risk levels, the processing center can quickly classify simulated casualties A and C, A is in a risk state, and C is in a danger state, thereby simplifying the judgment process of the training results.

[0129] Example 2: Fire accident rescue drill

[0130] Parameter settings:

[0131] Maximum safe height: 5 meters (e.g., ground floor and first floor inside the building)

[0132] Maximum risk height: 15 meters (e.g., three-story building and above)

[0133] Risk duration: 20 seconds

[0134] Danger duration: 5 seconds

[0135] Scenario description:

[0136] In a fire accident rescue drill, simulated casualties and firefighters are distributed in buildings at different heights.

[0137] Simulated casualty D is on the second floor (height 10 meters) of a three-story building, and firefighter E is on the first floor (height 3 meters) for fire extinguishing.

[0138] Simulated casualty F is waiting for rescue on the fourth floor (height 20 meters) of a five-story building.

[0139] Judgment and measures of the processing center:

[0140] The collector of simulated casualty D stays in the area at a height of 10 meters for 22 seconds (exceeding the risk duration of 20 seconds), and the processing center determines that simulated casualty D is in a risk state, and the collector prompts a risk state.

[0141] The collector of firefighter E is always in the area at a height of 3 meters (less than the maximum safe height), and does not trigger a risk or danger state.

[0142] The collector of simulated casualty F stays in the area at a height of 20 meters for 6 seconds (exceeding the danger duration of 5 seconds), and the processing center determines that simulated casualty F is in a danger state, the collector prompts a danger state, and all collectors of simulated casualty F are shut down to avoid further risks.

[0143] By setting different risk levels, the processing center can quickly classify simulated casualties D and F, D is in a risk state, and F is in a danger state, thereby simplifying the judgment process of the training results.

[0144] Please refer to Figure 2 , which is a structural schematic diagram of the training platform of the embodiment of the present application, comprising:

[0145] A plurality of collectors are arranged at the predetermined positions of each training target to collect the actions of the training target and prompt the target state of the training target.

[0146] A plurality of event simulation terminals are arranged in the corresponding scenes to generate corresponding simulated scene events.

[0147] a plurality of feedback collectors arranged together with the event simulation terminal or the collector, for collecting collector states of the collectors, and monitoring target interaction states of each training target in the corresponding area in response to generation of the simulation scene event, and forming active interaction targets and passive interaction targets corresponding to the area;

[0148] a processing center connected with each collector, each event simulation terminal and each feedback collector, for recording the collector states, the scene event and the target states, and forming a corresponding database according to the scene event, and

[0149] forming a corresponding index according to the scene event, and

[0150] for sending the target states of each passive interaction target to the corresponding collector for prompting in response to confirmation of the target interaction state, and

[0151] judging the target interaction state of the active interaction target and the corresponding passive interaction target;

[0152] wherein, for a single passive interaction target, it corresponds to at least two collectors, and each collector is fixed at a different position of the training target;

[0153] for a single active interaction target, it corresponds to at least one collector and one feedback collector.

[0154] Specifically, for a single active interaction target, the processing center judges the active interaction target according to the information collected by the feedback collector corresponding to the target, and the target state of the passive interaction target corresponding to the active interaction target, including:

[0155] if the passive interaction target is in a risk state, the corresponding active interaction target completes a rescue operation, and the target state of the active interaction target is judged as a success state;

[0156] if the passive interaction target is in a risk state, the corresponding active interaction target does not complete a rescue operation, and the target state of the active interaction target is judged as a failure state;

[0157] wherein, the rescue operation includes a language operation and a motion operation.

[0158] when the active interaction target is in a failure state, the corresponding passive interaction target stops the corresponding collectors.

[0159] As a high-frequency and highly destructive sudden disaster, fire and earthquake, especially in high-rise buildings, underground commercial areas and other densely populated areas, often cause mass multiple injuries, including burns, trauma, poisoning, suffocation and other concurrent injuries. Such complex injuries not only pose a serious challenge to on-site first aid, but also put a huge pressure on the subsequent treatment process and resource allocation. Traditional emergency treatment training mainly relies on on-site drills and simple simulations, which are difficult to fully simulate fire scenes and mass casualty handling processes due to limitations in space, time, resources, etc.

[0160] (1) Modeling and dynamic simulation of multiple injuries: Establish the occurrence mechanism and evolution law of mass multiple injuries in fire environment, and realize the dynamic change and interactive influence of individual injury state in virtual environment. Combined with the actual situation of a large number of high-rise buildings and urban complexes in Beijing and other metropolises, design special important scene modules such as ambulances and hospital emergency rooms (such as trauma rescue scene) to meet the psychological response needs of first aid students when responding to realistic on-site environments.

[0161] (2) System integration of emergency treatment whole process: Whole process training design from on-site rescue, triage, transportation to in-hospital rescue breaks the limitations of traditional "single link" simulation and improves the overall treatment efficiency. Based on the virtual patient (VSP) model of "multi-modal emotional semantic interaction technology", natural language real-time interaction and emotional feedback between students, teachers and digital people are realized. Combined with VR headsets and human body teaching aids, first aid courses and virtual first aid medical equipment operation training are carried out. It is required to present various disaster patients' trauma and fear and helplessness emotions, so that students can interact with virtual patients in immersive first aid scenes.

[0162] (3) Optimization of real-time evaluation and feedback mechanism: Use sensors, data tracking and algorithms to provide real-time operation evaluation for users, help them find problems in training, correct them immediately, and continuously improve their emergency disposal ability. Collect multi-modal real-time data of trainees during training (including facial expressions, voice, EEG, body movements, heart rate, blood pressure, respiration, body temperature, etc.), analyze the emotional and psychological state of training students, and establish individual learning efficiency and collaboration ability prediction models in different virtual situations through data analysis.

[0163] Existing artificial intelligence and image display technologies can also help build equipment for this program, such as:

[0164] Using extended reality (XR) technology, including VR / AR / MR, to simulate common burns, trauma, inhalation injury, poisoning and other multiple injuries in fires, helping medical personnel master coping strategies in complex environments with multiple concurrent injuries.

[0165] The system is developed by using C / S structure and separating front and back ends. The front end is realized by using Unity3D, including virtual model material production and front end interaction production. The front end training module is the key effect realization of the system and is directly experienced in the actual use of the system teaching. Through the analysis of the demand and the combination of the architecture style characteristics, the virtual scene fire scene, ambulance, emergency room and other places are equipped with related hospital emergency equipment such as hospital bed, defibrillator, stretcher and first aid ball. The virtual patient wears daily clothes and the medical staff wears emergency department first aid clothes. The back end management production is realized by using SpringBoot. The system database uses MySQL database. The system can be published to Winxp, Mac, Ios, Android and other system platforms.

[0166] (1) Physiological model construction: Based on existing medical literature and clinical data, a mathematical model is established to accurately reflect the human body's response under extreme conditions, including but not limited to thermodynamics, fluid mechanics and biochemical processes.

[0167] (2) Multi-modal data fusion: Integrating data from different sources (such as CT scan images, laboratory test results), and generating high-fidelity 3D virtual human models through deep learning algorithms, supporting the superimposed display of multiple injury types.

[0168] (3) Dynamic interactive environment: Using Unity engine to create realistic fire scenes and allowing users to interact with them, such as artificial respiration, patient transportation, etc.; while ensuring that the physical rules in the environment (such as personnel rescue, smoke diffusion path) conform to the actual situation.

[0169] (4) Real-time rendering and optimization: Through GPU acceleration technology and efficient graphics algorithms, the system ensures smooth operation even when handling a large number of complex visual effects, maintaining a stable frame rate to provide an immersive user experience.

[0170] Thus, the technical solutions of the present application have been described in connection with the preferred embodiments shown in the drawings, but those skilled in the art will readily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to related technical features without departing from the principles of the present application, and the technical solutions after such changes or replacements will fall within the protection scope of the present application.

[0171] The above description is only the preferred embodiments of the present application and is not intended to limit the present application; for those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A mass casualty first aid skills training platform, characterized in that, The application comprises: a plurality of collectors arranged at predetermined positions of each training target to collect the actions of the training target and to prompt the target state of the training target; a plurality of event simulation terminals arranged in corresponding scenes to generate corresponding simulation scene events; a plurality of feedback collectors arranged with the event simulation terminals to collect the collector states of the collectors and to monitor the target states of each training target in the corresponding area in response to the generation of the simulation scene events; a processing center connected with each collector, each event simulation terminal and each feedback collector to record the collector states, the scene events and each target state, to form a corresponding database according to the scene events, and to form a corresponding index according to the scene events, and to send the corresponding state to the corresponding collector for prompting in response to the confirmation of the target state; wherein, for a single training target, at least two collectors correspond to the single training target, and each collector is fixed at a different position of the training target; the processing center is further provided with a plurality of models to determine the target state of the corresponding collector according to the feedback collector and to feed back the target state generated by the model to the corresponding collector; the models at least include an environmental interaction model and a physiological model; the environmental interaction model is a model for the feedback collector to determine according to the height of the collector and the staying time at each height, and the feedback collector is provided with a maximum safe height and a maximum risk height, wherein the maximum safe height is less than the maximum risk height; for a single training target, if each collector arranged at the training target is not greater than the maximum safe height, the feedback collector determines that the training target is in a safe state in the corresponding area; if any collector arranged at the training target is not less than the maximum risk height, the feedback collector determines that the training target is in a risk state in the corresponding area.

2. The mass casualty first aid skills training platform of claim 1, wherein, the event simulation terminal at least includes a height parameter and a position parameter, and is arranged in groups according to the position parameter, and a single group of event simulation terminals at least includes one event simulation terminal; the feedback collector is arranged corresponding to each group of event simulation terminals, and a single group of feedback collectors corresponds to a single group of event simulation terminals.

3. The mass casualty first aid skills training platform of claim 1, wherein, for any feedback collector, in response to the generation of the simulation scene event, the feedback collector determines the position of the corresponding training target according to the feedback of each collector, and determines the target state of each training target in the monitoring area of the feedback collector according to the state of the corresponding collector and the simulation scene event.

4. The mass casualty first aid skills training platform according to claim 2 or 3, wherein, the processing center is provided with a risk time and a danger time, wherein the risk time is not less than the danger time; for a single training target, if any collector arranged at the training target stays in an area greater than the maximum safe height and less than the maximum risk height for the risk time, the processing center determines that the training target is in a risk state; if any collector arranged at the training target stays in an area greater than the maximum risk height for the danger time, the processing center determines that the training target is in a risk state.

5. The mass casualty first aid skills training platform of claim 4, wherein, For a single collector, when receiving the target confirmation information of the processing center, In response to the processing center or the feedback collector determining that the collection is in a risk state, prompting the risk state; In response to the processing center and the feedback collector determining that the collection is in a risk state, prompting the risk state, and shutting down each collector corresponding to the training target.

6. A mass casualty first aid skills training platform, characterized in that, Comprise: A plurality of collectors arranged at predetermined positions of each training target for collecting the action of the training target, and prompting the target state of the training target; A plurality of event simulation terminals arranged in the corresponding scene for generating corresponding simulation scene events; A plurality of feedback collectors arranged with the event simulation terminal or the collector for collecting the collector state of the collector, monitoring the target interaction state of each training target in the corresponding area in response to the generation of the simulation scene event, and forming corresponding active interaction targets and passive interaction targets; A processing center connected to each collector, each event simulation terminal, and each feedback collector for recording the collector state, the scene event, and each target state, forming a corresponding database according to the scene event, and Forming a corresponding index according to the scene event, and Sending the target state of each passive interaction target to the corresponding collector for prompting in response to the confirmation of the target interaction state, and Determining the target state of the active interaction target according to the target interaction state of the active interaction target and the corresponding passive interaction target; Wherein, for a single passive interaction target, it corresponds to at least two collectors, and each collector is fixed at a different position of the training target; For a single active interaction target, it corresponds to at least one collector and one feedback collector.

7. The mass casualty first aid skills training platform of claim 6, wherein, For a single active interaction target, the processing center determines the active interaction target according to the information collected by the feedback collector corresponding to the target, and the target state of the passive interaction target corresponding to the active interaction target, including: If the passive interaction target is in a risk state, the corresponding active interaction target completes a rescue operation, and determines the target state of the active interaction target as a success state; If the passive interaction target is in a risk state, the corresponding active interaction target does not complete a rescue operation, and determines the target state of the active interaction target as a failure state; Wherein, the rescue operation includes language operation and action operation.

8. The mass casualty first aid skills training platform of claim 7, wherein, When the active interaction target is in a failure state, the corresponding passive interaction target shuts down the corresponding collectors.

Citation Information

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