Accident rescue deduction terminal control method and system

Abstract

The invention provides an accident rescue deduction terminal control method and system, and relates to the technical field of accident rescue deduction terminal control. The method comprises the steps of: receiving an emergency disposal plan sent by a server through an independent priority communication channel; when the emergency disposal plan is received, a low-priority interface rendering task currently executed by the main rendering thread is forcibly suspended, and the emergency disposal plan is preferentially displayed on a screen top layer through a preset simplified interface; the simplified interface provides an operation confirmation button decoupled from the main rendering thread; and when the operation confirmation button is triggered, generating a confirmation instruction, and issuing the confirmation instruction to the AR equipment of the rescue unit through the priority communication channel to drive the AR equipment to execute the recommended disposal scheme. The method provided by the invention aims to solve the problem that a commander quickly issues a key instruction due to shortage of system resources and jamming of a command terminal interface caused by sudden environment change, and ensures immediate response and execution of the instruction.

Description

Technical Field

[0001] This invention relates to the field of accident rescue simulation terminal control technology, and more specifically, to an accident rescue simulation terminal control method and system. Background Technology

[0002] In the field of modern emergency management and training, advanced simulation and deduction systems have been introduced to enhance the ability to respond to emergencies, especially in complex and high-risk environments such as ports. These systems typically integrate multiple cutting-edge technologies, such as augmented reality (AR) technology, which overlays virtual information onto the real world, providing trainees with an immersive experience; geographic information systems (GIS), which provide accurate geospatial data and situational awareness; intelligent calculation mechanisms that can simulate the development of accidents; and communication platforms that ensure real-time information transmission. This combination of technologies aims to provide rescue personnel with a highly realistic training environment, thereby effectively improving their practical command and operational capabilities. However, in practical applications, when faced with extreme, sudden, and rapidly changing complex scenarios, the responsiveness of the control terminals and the smoothness of human-computer interaction may be severely challenged, thus affecting the effectiveness of training. When external environmental factors (such as wind direction and speed) change drastically, the accident evolution calculation model needs to undergo intensive recalculation and drive the GIS interface to perform large-scale, highly complex graphical rendering to realistically display the dynamic changes in the accident situation (such as the diffusion of hazardous gas clouds) in real time. This process will momentarily consume a large amount of the control terminal's processor and graphics processing resources.

[0003] However, existing control methods fail to effectively differentiate and manage resource priorities for different tasks, causing the system to allocate the vast majority of resources to background simulation calculations and foreground situation visualization rendering. This resource allocation strategy reduces the priority of the interactive interface used to respond to user operations, resulting in sluggish interface response, inaccurate touch input, or even no response. Consequently, at the most critical moments of an incident, when commanders need to immediately redeploy rescue forces or plan evacuation routes through point-and-click or drag-and-drop operations, their commands cannot be received and executed by the system in a timely and accurate manner. Ultimately, while pursuing the realism of situation presentation, the system sacrifices the immediacy and effectiveness of command and control, rendering commanders unable to effectively intervene in the face of emergencies, thus fundamentally violating the original intention of the simulation system to improve emergency command capabilities. Summary of the Invention

[0004] The purpose of this invention is to provide a terminal control method and system for accident rescue simulation, which aims to solve the problem that in port accident rescue simulation, when sudden environmental changes cause system resource shortages and command terminal interface lag, thus affecting the commander's ability to quickly issue key instructions. When the system detects an emergency threat, it actively generates and pushes a preset emergency response plan, and simplifies the commander's operation to one-click confirmation, thereby ensuring the immediate response and execution of instructions.

[0005] In a first aspect, the present invention provides a terminal control method for accident rescue simulation, comprising the following steps: S1. Receive emergency response plans sent by the server through an independent priority communication channel; the emergency response plans include recommended response plans generated for rescue units identified as facing emergency threats; S2. Upon receiving an emergency response plan, forcibly pause the low-priority UI rendering tasks currently being executed by the main rendering thread, and prioritize display the emergency response plan in a preset simplified interface at the top of the screen; the simplified interface provides an operation confirmation button decoupled from the main rendering thread. S3. When the operation confirmation button is triggered, a confirmation command is generated and sent to the AR device of the rescue unit through the priority communication channel to drive the AR device to execute the recommended treatment plan.

[0006] The accident rescue simulation terminal control method provided by this invention, in port accident rescue simulations, when the system detects an emergency threat caused by a sudden environmental change, and this threat will have a serious impact on the rescue unit in a very short time, the system will proactively and intelligently generate a concise emergency response plan. This plan is presented directly on the command terminal in a minimalist interface through a high-priority channel independent of conventional graphics rendering, simplifying the commander's complex operations to a single intuitive "confirm" click. Subsequently, this confirmation instruction is rapidly issued and executed via an instant messaging platform with the highest priority, thus completely bypassing the interface lag problem caused by complex situation rendering, ensuring that the commander can issue and execute critical rescue instructions without delay within the most critical "second-level" decision window.

[0007] Secondly, the present invention provides an accident rescue simulation terminal control system, comprising: The receiving module is used to receive emergency response plans sent by the server through an independent priority communication channel; the emergency response plans include recommended response plans generated for rescue units identified as facing emergency threats; The control display module is used to forcibly pause the low-priority interface rendering task currently being executed by the main rendering thread when an emergency response plan is received, and to display the emergency response plan in a preset simplified interface at the top of the screen; the simplified interface provides an operation confirmation button decoupled from the main rendering thread. The instruction issuance module is used to generate a confirmation instruction when the operation confirmation button is triggered, and to send the confirmation instruction to the AR device of the rescue unit through a priority communication channel to drive the AR device to execute the recommended treatment plan.

[0008] As can be seen from the above, the accident rescue simulation terminal control method provided by this invention can significantly improve the command efficiency and command execution reliability of the port accident rescue simulation system in the face of sudden and rapidly evolving emergency situations. By proactively pushing emergency plans and simplifying the commander's operation to one-click confirmation, it effectively solves the problems of interface lag and inability to issue commands in a timely manner due to system resource constraints. This ensures that within a very short critical decision window, the commander's intentions can be received, processed, and executed by the system without delay, greatly reducing the risk of simulation failure and improving the practical ability of emergency command.

[0009] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing embodiments of the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. Attached Figure Description

[0010] Figure 1 A flowchart of an accident rescue simulation terminal control method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the information flow of the accident rescue simulation terminal control method provided in an embodiment of the present invention; Figure 3 A schematic diagram of a terminal control system for accident rescue simulation provided in an embodiment of the present invention; Label Explanation: 100. Receiving module; 200. Control and display module; 300. Command issuing module. Detailed Implementation

[0011] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0012] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0013] Reference Appendix Figure 1 and attached Figure 2 This invention provides a terminal control method for accident rescue simulation, comprising the following steps: S1. Receive the emergency response plan sent by the server through a priority communication channel independent of regular data transmission; the emergency response plan includes recommended response plans generated for rescue units identified as facing an emergency threat; wherein, the generation steps of the emergency response plan in the server include A1 and A2: A1. Based on the received environmental sensor data, predict the spread of the danger zone through a preset accident evolution prediction mechanism; A2. When it is predicted that the danger zone will spread to the rescue unit within a preset time, the rescue unit is identified as facing an emergency threat, and an emergency response plan is generated for the rescue unit identified as facing an emergency threat. S2. Upon receiving an emergency response plan, forcibly pause the low-priority UI rendering tasks currently being executed by the main rendering thread, and prioritize display the emergency response plan in a preset simplified interface at the top of the screen; the simplified interface provides an operation confirmation button decoupled from the main rendering thread. S3. When the operation confirmation button is triggered, a confirmation command is generated and sent to the AR device of the rescue unit through the priority communication channel to drive the AR device to execute the recommended treatment plan.

[0014] This invention, by introducing a priority communication channel, forcibly pausing low-priority rendering tasks, and providing an operation confirmation button decoupled from the main rendering thread, ensures the timely receipt, priority display, and rapid issuance of emergency response plans and operation instructions at critical moments. This effectively solves the problems of slow response of control terminals and unsmooth human-computer interaction in existing technologies, and significantly improves the immediacy and effectiveness of emergency command.

[0015] This invention provides a terminal control method for accident rescue simulation, which is mainly applied to emergency management and training scenarios in complex and high-risk environments such as ports. In this scenario, there is a control terminal for commanders to perform simulation operations and receive emergency information; a server responsible for calculating the accident situation and generating emergency response plans; and AR devices worn by rescue units to receive instructions and assist rescue personnel in performing tasks.

[0016] Priority communication channel: refers to a communication link or mechanism independent of regular data transmission, which is given higher transmission priority to ensure that emergency information (such as emergency response plans and confirmation instructions) can be transmitted quickly and reliably, unaffected by regular data traffic. Emergency response plan: refers to a recommended response plan generated by the server based on the evolution of the accident, provided to rescue units facing an emergency threat. This plan aims to guide rescue units to take the correct actions when danger approaches. Environmental sensor data: refers to real-time data obtained from the accident site or surrounding environment, such as temperature, humidity, and pressure. This data is used by the accident evolution prediction mechanism to predict hazardous areas. Accident evolution prediction mechanism: refers to a pre-set algorithm or model that simulates and predicts the dynamic changes and spread of hazardous areas (such as the range of toxic gas diffusion or the area of ​​fire spread) based on environmental sensor data. Hazardous area: refers to the geographical area that poses a threat to personnel or equipment due to the impact of the accident (such as gas leaks or fire spread) in the accident simulation. Rescue unit: refers to the simulated team or individual performing the rescue mission in the accident simulation, who may be equipped with AR devices. Main rendering thread: This refers to the thread in the control terminal responsible for most of the graphical interface rendering tasks. In complex simulation scenarios, this thread may be heavily consumed by highly complex situational visualization rendering tasks. Low-priority interface rendering tasks: These are graphics rendering tasks executed in the main rendering thread that have lower priority than emergency information display, such as background animations and non-critical information displays. Simplified interface: This refers to an optimized user interface that displays emergency response plans in the simplest and most intuitive way, aiming to reduce rendering burden and ensure rapid information presentation. Operation confirmation button: This is an interactive element provided on the simplified interface for commanders to confirm the received emergency response plan. This button is designed to be decoupled from the main rendering thread to ensure it can still respond to user input when the main rendering thread is busy. Confirmation instruction: This is the instruction generated by the control terminal and sent to the AR device when the operation confirmation button is triggered, instructing the AR device to execute the recommended response plan in the emergency response plan. AR device: This refers to the augmented reality device worn by rescue units, which can receive and execute instructions from the control terminal to assist rescue personnel in operating in the actual environment.

[0017] The accident rescue simulation terminal control method of the present invention ensures efficient response and command in emergency situations through a series of coordinated steps.

[0018] First, in step S1, the control terminal is configured to receive an emergency response plan sent by the server via a priority communication channel. This priority communication channel is designed to be independent of regular data transmission, meaning that the transmission of the emergency response plan will not be significantly affected even in cases of network congestion or large volumes of regular data. For example, this priority communication channel could be a separate physical link or a logical channel granted the highest Quality of Service (QoS) guarantee at the network protocol level. The emergency response plan contains recommended response plans generated for rescue units identified as facing an emergency threat.

[0019] Furthermore, the steps for generating the emergency response plan on the server include A1 and A2.

[0020] In step A1, the server predicts the spread of the hazardous area based on the received environmental sensor data using a pre-defined accident evolution prediction mechanism. For example, the environmental sensor data could be environmental parameters such as temperature, humidity, and pressure collected in real-time via a wireless sensor network. The accident evolution prediction mechanism could be a simulation program based on a physical model or empirical data, which calculates and predicts the spread rate and extent of hazardous areas such as fires, toxic gases, or explosive shock waves based on these environmental parameters.

[0021] In step A2, when it is predicted that the danger zone will spread to cover a rescue unit within a preset time, the server determines that the rescue unit faces an urgent threat and generates an emergency response plan for the rescue unit identified as facing an urgent threat. For example, the server can continuously monitor the predicted spread trajectory of the danger zone and compare it with the current location of each rescue unit. Once the predicted location of a rescue unit is covered by the danger zone within a preset time window, the rescue unit is determined to face an urgent threat. At this time, the server will generate a corresponding recommended response plan based on the specific situation of the rescue unit, such as instructing it to evacuate, find cover, or perform a specific task.

[0022] Secondly, in step S2, when the control terminal receives the emergency response plan, it forcibly suspends the low-priority interface rendering task currently being executed by the main rendering thread and displays the emergency response plan at the top of the screen in a preset simplified interface. For example, the control terminal's operating system or application framework can be configured to immediately trigger an interrupt or high-priority event upon detecting an emergency data packet from a priority communication channel, thereby forcibly suspending currently executing low-priority rendering tasks, such as background animations or non-critical map updates. Subsequently, a preset simplified interface is quickly loaded and displayed at the top of the screen. This simplified interface contains only the core information of the emergency response plan, such as "Evacuate immediately" or "Go to the safe zone," and provides an operation confirmation button. This simplified interface is designed to be decoupled from the main rendering thread, meaning that its rendering and interaction logic is independent of the main rendering thread. Even if the main rendering thread lags due to processing complex graphics, the simplified interface remains responsive.

[0023] Finally, in step S3, when the operation confirmation button is triggered, the control terminal generates a confirmation command and sends it to the AR device of the rescue unit via a priority communication channel to drive the AR device to execute the recommended response plan. For example, after the commander clicks the operation confirmation button on the simplified interface, the control terminal immediately generates a command packet containing confirmation information and a recommended response plan identifier. This command packet is then sent out via the aforementioned priority communication channel to ensure it quickly reaches the target AR device. After receiving the confirmation command, the AR device parses the recommended response plan and drives its internal display or navigation module, such as overlaying an evacuation route onto the AR glasses or guiding rescue personnel to perform specific operations through voice prompts.

[0024] The accident rescue simulation terminal control method of this invention aims to solve the problems of delayed response and poor human-computer interaction in existing technologies under complex and sudden scenarios, which lead to the inability to execute command instructions in a timely and effective manner. Its overall working principle reflects the refined management of information priority and resource allocation.

[0025] Specifically, when an accident occurs in the port area, environmental sensor data is continuously received by the server and used by the accident evolution prediction mechanism to predict dangerous areas. Once it is predicted that the dangerous area will spread to cover a certain rescue unit within a preset time, the server will immediately determine that the rescue unit faces an urgent threat and generate an emergency response plan. This plan includes targeted recommended response measures and is crucial information to ensure the safety of the rescue unit.

[0026] To ensure this critical information reaches the control terminal and is perceived by the commander as quickly as possible, this invention employs a priority communication channel independent of conventional data transmission. Through this channel, emergency response plans are transmitted to the control terminal with priority, avoiding transmission delays caused by excessive conventional data traffic.

[0027] The moment the control terminal receives the emergency response plan, the system immediately and forcibly pauses the low-priority interface rendering tasks currently being executed by the main rendering thread. This mechanism ensures that the control terminal's computing and graphics processing resources are quickly released and prioritized for the processing and display of emergency information. Subsequently, a pre-set simplified interface is displayed at the top of the screen, presenting only the core content of the emergency response plan, greatly reducing the rendering burden and thus ensuring the timely presentation of information.

[0028] More importantly, this simplified interface provides an operation confirmation button decoupled from the main rendering thread. This means that even if the main rendering thread is under high load due to handling complex situational visualization rendering, the commander can still confirm the operation through this decoupled button, avoiding the problem of not being able to respond to commands in a timely manner due to interface lag. When the commander triggers the operation confirmation button, the control terminal will immediately generate a confirmation command and send the command again to the AR device of the rescue unit through a priority communication channel. After receiving the command, the AR device will drive it to execute the recommended response plan, such as overlaying a safe path or operation instructions into the rescuers' field of vision.

[0029] Therefore, this invention establishes a high-priority information transmission channel, implements an emergency information priority display strategy, and provides a decoupled interaction mechanism, forming an efficient and reliable emergency command chain. The entire process ensures the speed and accuracy of response throughout the entire process, from hazard identification, plan generation, information transmission, interface display to command issuance, thereby effectively solving the problems of insufficient immediacy and effectiveness of command and control in existing technologies and significantly improving the practical effectiveness of accident rescue simulations.

[0030] The core innovation of this invention lies in addressing the pain points of existing simulation and deduction systems in extremely complex scenarios, such as slow response of control terminals and unsmooth human-computer interaction, by proposing a terminal control method based on priority communication and resource preemption.

[0031] Traditional simulation systems, when faced with drastic changes in external environmental factors, allocate a significant amount of processor and graphics processing resources to background simulation calculations and foreground situation visualization rendering. This resource allocation strategy reduces the priority of the interactive interface used to respond to user operations, resulting in sluggish interface response, inaccurate touch input, or even no response at all. At the most critical moments of an incident, the commander's operational instructions cannot be received and executed by the system in a timely and accurate manner, causing the system to sacrifice the immediacy and effectiveness of command and control in pursuit of realistic situation presentation.

[0032] In contrast, this invention significantly improves the system's performance and reliability through the following means: First, a priority communication channel, independent of regular data transmission, was introduced. This ensures that emergency response plans can bypass regular data congestion and be transmitted from the server to the control terminal at the fastest speed. This contrasts sharply with existing technologies where all data transmissions use the same priority, potentially causing emergency information to be overwhelmed by large amounts of regular data.

[0033] Secondly, upon receiving an emergency response plan, this invention forcibly pauses the low-priority UI rendering tasks currently being executed by the main rendering thread and prioritizes displaying the emergency response plan on the top layer of the screen using a pre-defined simplified interface. This mechanism is one of the key innovations of this invention. Existing technologies typically fail to effectively differentiate and manage the resource priorities of different tasks, resulting in disruptions to emergency information display and user interaction when system resources are strained. This invention, by proactively preempting resources, ensures the timely and high-priority presentation of emergency information, significantly reducing the time commanders take to obtain critical information.

[0034] Furthermore, the simplified interface provides an operation confirmation button decoupled from the main rendering thread. This is a direct improvement over the insufficient smoothness of human-computer interaction in existing technologies. In existing systems, when the main rendering thread is occupied by high-complexity rendering tasks, the entire interface may become unresponsive, preventing commanders from performing effective operations. This invention separates the logic of the operation confirmation button from the main rendering thread, ensuring that even when the main rendering thread is busy, commanders can still perform timely and accurate confirmation operations through this button, thus guaranteeing the immediate issuance of command instructions.

[0035] Therefore, the accident rescue simulation terminal control method of the present invention effectively solves the problem of insufficient immediacy and effectiveness of command and control in the prior art through innovative design of communication priority, resource allocation and human-computer interaction mechanism. It enables commanders to obtain key information and issue instructions in a timely manner in extreme emergency situations, and significantly improves the practical command capability and efficiency of accident rescue simulation.

[0036] In some embodiments, environmental sensor data includes toxic gas concentration data, flammable gas concentration data, and structural vibration data.

[0037] In some embodiments, step A2, which involves generating an emergency response plan for a rescue unit identified as facing an emergency threat, includes: A21. The server delineates tiered risk zones within the port area based on environmental sensor data; the tiered risk zones include absolute avoidance zones and relative risk zones. A22. Based on the current location of the rescue unit and the tiered risk areas, calculate the recommended safe movement direction of the rescue unit and generate an emergency response plan as the recommended disposal plan; when the emergency response plan is subsequently displayed on the simplified interface, the simplified interface displays an authorization request for the recommended safe movement direction, and the operation confirmation button is used to authorize the rescue unit to follow the recommended safe movement direction.

[0038] Specifically, in step A21, the server uses received environmental sensor data, such as toxic gas concentration data, flammable gas concentration data, and structural vibration data, to finely divide the hazardous areas within the port area into tiered risk zones. Absolutely avoidable zones are areas of extremely high danger, requiring immediate evacuation or strict prohibition by rescue units; examples include areas where toxic gas concentrations reach lethal levels or areas where structures are on the verge of collapse. Relatively risky zones are areas of higher danger, but where limited activities are still permissible under specific conditions or protective measures; examples include areas where toxic gas concentrations are high but not yet lethal, or areas with potential structural risks but not yet immediately collapsed. This tiered division helps to more accurately assess risks and develop differentiated response strategies.

[0039] In step A22, after the tiered risk zones are defined, the server, combining the current location information of the rescue unit, uses path planning algorithms or optimization models to calculate a recommended safe movement direction that guides the rescue unit to safely evacuate or avoid danger. This recommended safe movement direction aims to avoid absolutely avoidable areas and minimize the time spent or exposure within relatively risky areas. The calculated recommended safe movement direction is then encapsulated in an emergency response plan as a specific recommended action. When this emergency response plan is sent to the terminal and displayed on a simplified interface, the simplified interface clearly displays the authorization request for the recommended safe movement direction, for example, presented as an arrow or path indicator, along with an operation confirmation button. This operation confirmation button is designed to be decoupled from the main rendering thread, ensuring that even if the main rendering thread is forcibly paused, the user can still promptly and independently confirm the operation, thereby authorizing the rescue unit to follow the recommended safe movement direction.

[0040] This invention effectively addresses the limitation of the basic solution's lack of specific guidance in recommended actions by introducing the delineation of tiered risk zones and the calculation of recommended safe movement directions. Specifically, firstly, by tiering dangerous areas within the port area, the system can more precisely identify different levels of danger, providing an accurate risk map for subsequent route planning. Secondly, based on these tiered risk zones and the real-time location of rescue units, the system can intelligently calculate an optimal recommended safe movement direction that avoids high-risk areas. This direction is specific and actionable, directly addressing the problem of overly general recommended actions in the basic solution. Finally, by displaying authorization requests on a simplified interface and providing independent operation confirmation buttons, it ensures that in emergency situations, terminal operators can quickly understand and authorize rescue units to execute specific evacuation routes, thereby transforming the abstract "recommended action plan" into a concrete "safe movement instruction," greatly improving the executability and response speed of the solution.

[0041] Through the above technical solutions, this invention can provide more refined and real-time safety guidance for accident rescue simulations. Specifically, the introduction of layered risk zones makes risk assessment more accurate, distinguishing between different levels of danger and thus avoiding over-avoidance or under-avoidance. The calculation of recommended safe movement directions directly provides rescue units with clear and actionable evacuation paths, significantly improving the safety and efficiency of rescue operations and reducing the risk of rescue personnel exposure in dangerous areas. In addition, by simplifying the interface display of authorization requests and providing independent operation confirmation buttons, it ensures that key instructions can be communicated and confirmed in a timely and effective manner in emergency situations, thereby avoiding potential dangers caused by unclear information or operational delays, making the entire accident rescue simulation process more efficient, safe, and intelligent.

[0042] In some preferred embodiments, specific examples are given below. Suppose a chemical spill occurs in a port area, and environmental sensors provide real-time feedback on toxic and flammable gas concentrations. Based on this data, the server predicts the rapid spread of the hazardous area using a pre-defined accident evolution calculation mechanism. At this point, the system divides the port area into different tiered risk zones according to the levels of toxic and flammable gas concentrations. For example, areas with toxic gas concentrations exceeding a certain threshold are designated as absolute avoidance zones, while areas with higher concentrations but not yet lethal are designated as relatively risk zones.

[0043] When the system identifies a rescue unit that is in or about to enter a relatively high-risk area, and predicts that the area will spread to cover the rescue unit within a preset time, the system determines that the rescue unit faces an urgent threat. At this point, the server calculates a recommended safe movement direction based on the rescue unit's current location and the defined tiered risk zones. For example, the system might plan a shortest path to guide the rescue unit to quickly evacuate from an absolute avoidance zone and avoid relatively high-risk areas as much as possible, or guide it to a relatively safe refuge point.

[0044] Subsequently, the recommended safe movement direction, as part of the emergency response plan, is sent to the accident rescue simulation terminal. Upon receiving this plan, the terminal forcibly pauses any currently executing low-priority interface rendering tasks and prioritizes displaying the authorization request for the recommended safe movement direction on the top layer of the screen using a pre-defined simplified interface. For example, the simplified interface displays a dynamic arrow or a highlighted path indicating the direction the rescue unit should move, accompanied by a prominent "Confirm Evacuation" confirmation button. When the terminal operator clicks this confirmation button, a confirmation instruction is generated and sent to the rescue unit's AR device via a priority communication channel. Upon receiving the instruction, the rescue unit's AR device immediately overlays the recommended safe movement direction onto the rescue personnel's field of vision, for example, by overlaying virtual path guidance onto the real environment using AR glasses, thereby driving the rescue personnel to perform safe movement according to the recommended response plan.

[0045] Traditional accident rescue simulation terminal control methods, after generating and issuing recommended response plans, may not be able to respond in real time to dynamic changes in the rescue site environment or unexpected situations encountered by rescue units during actual movement, such as obstacles or terrain limitations. If the recommended response plan is static, once the site situation changes, the rescue unit may not be able to obtain updated and safer movement directions in a timely manner, thus affecting rescue efficiency and the safety of rescue personnel. To address this, this invention further proposes a mechanism for dynamically updating recommended safe movement directions. By introducing real-time feedback from rescue units, it ensures the continuous effectiveness and adaptability of the recommended response plan.

[0046] For details, please refer to the appendix. Figure 2 Step S3 is followed by: S4. Continuously receive recommended safe movement directions updated by the server and synchronously send the new recommended safe movement directions to the AR devices of the rescue unit; wherein, the steps of the server updating the recommended safe movement directions include B1: B1. Based on the deviation feedback information sent by the rescue unit's AR device, recalculate the new recommended safe movement direction; the processing steps of the deviation feedback information in the AR device include C1-C3: C1. When an AR device detects an obstacle or terrain restriction, it calculates the actual movement trajectory that can bypass the obstacle or terrain restriction. C2. Calculate the degree of deviation between the actual movement trajectory and the recommended safe movement direction; C3. When the deviation exceeds the first preset value, generate deviation feedback information and send it to the server.

[0047] Specifically, after the rescue unit's AR device receives the initial recommended action plan and begins execution, the system does not stop guiding the rescue unit. Instead, the server continuously updates the recommended safe movement directions and synchronously sends these new recommended safe movement directions to the rescue unit's AR device. This continuous update mechanism aims to ensure that the rescue unit always receives the latest and safest guidance.

[0048] Step B1, where the server updates the recommended safe movement direction, is based on deviation feedback information sent by the rescue unit's AR device. This means that the AR device plays a crucial monitoring and feedback role during the rescue unit's movement. Specifically, the processing steps for deviation feedback information in the AR device include C1 to C3.

[0049] In step C1, the AR device is configured to identify obstacles or terrain limitations encountered by the rescue unit during its movement in real time. These obstacles or terrain limitations may be unforeseen in the contingency plan, such as suddenly collapsed structures, newly emerging fire spread areas, or narrow, impassable passages. Once such limitations are identified, the AR device immediately calculates a practical movement trajectory that can bypass these obstacles or terrain limitations. This practical movement trajectory is the path that the rescue unit might actually take in the current constrained environment.

[0050] Subsequently, in step C2, the AR device calculates the degree of deviation between the current actual movement trajectory and the recommended safe movement direction initially provided by the server. This degree of deviation can be quantified as the difference in distance, angle, or path deviation between the two, to measure the extent to which the rescue unit's actual route deviates from the recommended route.

[0051] Finally, in step C3, when the calculated deviation exceeds a preset first value, the AR device generates deviation feedback information. This first preset value is a threshold used to determine whether the deviation is sufficient to warrant a server reassessment and update of the recommended direction. Once the deviation exceeds this threshold, the AR device sends the deviation feedback information to the server. This deviation feedback information includes the actual situation currently faced by the rescue unit and its degree of deviation from the recommended path, providing necessary data support for the server to recalculate a new recommended safe movement direction.

[0052] This invention effectively addresses the limitations of initial recommended response plans in complex and ever-changing accident scenes by constructing a closed-loop dynamic feedback and update mechanism. Specifically, during the execution of the recommended response plan, the rescue unit's AR device continuously monitors the surrounding environment and its own movement status. Once the AR device identifies situations such as obstacles or terrain limitations causing the actual movement trajectory to deviate from the recommended safe movement direction, and this deviation exceeds a preset first value, the AR device will proactively generate deviation feedback information. This deviation feedback information includes the latest situation at the scene and the rescue unit's actual movement intention, and is immediately sent to the server. Upon receiving this deviation feedback information, the server uses this real-time data, combined with its internal accident evolution calculation mechanism and risk area division logic, to reassess the current situation and recalculate a new, more suitable recommended safe movement direction for the current scene environment. Subsequently, these updated recommended safe movement directions are continuously sent back to the rescue unit's AR device through a priority communication channel. Thus, the rescue unit's AR device can receive and display the latest guidance information in real time, ensuring that rescue personnel always move along the safest and most effective path. This real-time feedback and dynamic update mechanism enables the entire accident rescue simulation system to respond quickly to emergencies on site, thereby significantly improving the adaptability and effectiveness of rescue plans.

[0053] Through the above technical solution, this invention achieves significant optimization of the terminal control method for accident rescue simulation. Compared to existing technologies that only provide one-time recommended solutions, this invention introduces a real-time feedback mechanism for the AR devices of rescue units and the dynamic updating capability of the server. This makes the recommended safe movement direction no longer static, but continuously adjustable and optimized according to the actual situation at the rescue site and the real-time movement status of the rescue unit. Specifically, when the rescue unit encounters unexpected obstacles or terrain limitations while executing the recommended plan, the AR device can promptly identify and report the deviation, prompting the server to recalculate and issue a new recommended path. This dynamic adaptability greatly enhances the practicality and safety of the rescue plan, effectively avoiding the risk of the recommended plan failing due to environmental changes, ensuring that rescue personnel can always receive accurate and real-time guidance in complex and ever-changing accident scenes, thereby significantly improving the efficiency of rescue operations and the safety of rescue personnel.

[0054] In some preferred embodiments, specific examples are given below. Suppose that during a port accident rescue simulation, a rescue unit is guided along a recommended safe movement direction. When the rescue unit's AR device displays the recommended path, rescuers suddenly discover a newly formed collapse area ahead due to an explosion, an area not identified in the initial plan. At this point, the rescue unit's AR device identifies this obstacle using its built-in sensors (e.g., visual sensors, LiDAR). The AR device then calculates an actual movement trajectory that bypasses the collapse area and compares it with the original recommended safe movement direction. If the deviation (e.g., distance or angle) exceeds a preset first value, the AR device immediately generates deviation feedback information including the current location, obstacle information, and the actual movement trajectory, and sends it to the server via a priority communication channel. Upon receiving this feedback, the server recalculates a new recommended safe movement direction to bypass the collapse area based on the latest environmental information and the actual situation of the rescue unit. For example, the new recommended direction might instruct the rescue unit to detour to the left or find an alternative path. The server then continuously sends this new recommended safe movement direction to the rescue unit's AR devices. Upon receiving the updated direction, the rescue unit's AR devices display the new recommended path at the top of the screen in a simplified interface, guiding rescuers to adjust their direction in a timely manner. This helps them avoid entering dangerous areas or being obstructed by obstacles, ensuring the smooth progress of the rescue mission. This process is continuous; whenever the rescue unit's actual movement deviates significantly from the recommended direction, the system triggers a feedback and update mechanism to ensure the rescue unit always receives optimal guidance.

[0055] In some embodiments, the specific steps in step C3 include: C31. Monitor wireless network quality and assess the urgency of deviation feedback information; C32. Adjust the transmission frequency and granularity of the AR device according to the quality of the wireless network and the urgency of the deviation feedback information; C33. When the deviation exceeds the preset value, the deviation feedback information is sent to the server according to the adjusted transmission frequency and transmission granularity.

[0056] Specifically, step C31 refers to the AR device actively monitoring the current wireless network quality before generating deviation feedback information. This involves assessing network status by detecting indicators such as signal strength, bandwidth, latency, and packet loss rate. Simultaneously, it evaluates the urgency of the deviation feedback information. The urgency can be determined based on various factors, such as the location of the deviation (whether it is near a danger zone), the magnitude of the deviation, and the priority of the current rescue mission. The wireless network quality monitoring aims to obtain the real-time status of the current communication environment, while the urgency assessment of the deviation feedback information determines its importance to the rescue operation.

[0057] Further, step C32 refers to the AR device dynamically adjusting its transmission frequency and granularity based on the wireless network quality monitored in step C31 and the assessed urgency of the deviation feedback information. For example, when the wireless network quality is poor or the urgency of the deviation feedback information is low, the transmission frequency can be reduced (e.g., sent once at longer intervals) or the transmission granularity can be decreased (e.g., only key data points are sent, omitting redundant information) to save bandwidth. Conversely, when the wireless network quality is good and the urgency of the deviation feedback information is high, the transmission frequency can be increased (e.g., sent in real-time or near real-time) and the transmission granularity can be increased (e.g., sent more detailed trajectory data) to ensure the timeliness and completeness of the information. Transmission frequency refers to the number of times feedback information is sent per unit time, and transmission granularity refers to the amount of data or level of detail contained in each transmitted message.

[0058] Therefore, step C33 refers to the AR device sending deviation feedback information to the server when the deviation exceeds a preset value, based on the adjusted transmission frequency and granularity in step C32. This means that feedback information will only be sent when the actual movement trajectory deviates from the recommended safe movement direction to a certain extent, and the sending method will be optimized according to network conditions and information importance.

[0059] This invention addresses the problem in complex and ever-changing rescue environments where simply sending feedback information in a fixed manner can lead to wasted network resources or untimely transmission of critical information. Specifically, when wireless network quality is poor, reducing the transmission frequency and granularity effectively avoids transmission failures or delays caused by network congestion or insufficient bandwidth, ensuring efficient use of limited network resources. Conversely, when the deviation feedback information is highly urgent, even under average network conditions, prioritizing transmission frequency and granularity ensures timely delivery of critical information to the server, enabling the server to respond quickly and update recommended safe movement directions. This adaptive transmission mechanism makes the transmission of deviation feedback information more intelligent and efficient, ensuring the real-time nature and accuracy of rescue simulations.

[0060] Through the aforementioned technical solution, AR devices can intelligently adjust the transmission strategy of deviation feedback information based on actual network conditions and the urgency of the feedback information. This not only effectively avoids network congestion and resource waste caused by frequent or large-scale data transmission when network conditions are poor, but also ensures that critical deviation information can be prioritized and sent to the server in an emergency. This significantly improves the efficiency and reliability of information exchange during accident rescue simulations, enabling the server to receive the actual movement of rescue units more promptly and accurately. This allows for faster adjustment and issuance of new recommended safe movement directions, further enhancing the response speed and decision-making accuracy of the entire rescue simulation system and providing more reliable technical support for rescue operations.

[0061] In some preferred embodiments, specific examples are given below. Suppose that the AR device of a rescue unit is following a recommended safe movement direction. At a certain moment, the AR device detects a collapsed area ahead, preventing it from continuing along the recommended safe movement direction and forcing it to detour. At this point, the AR device calculates the actual detour trajectory and finds that the deviation from the recommended safe movement direction exceeds a first preset value.

[0062] Before sending deviation feedback, the AR device first monitors the current wireless network quality. For example, it might detect weak wireless signal strength and limited network bandwidth in the current area. Simultaneously, the AR device assesses the urgency of the deviation feedback. Since the detour area may present new dangers, and deviating from the recommended path could lead rescue units into unknown risk areas, the deviation feedback is assessed as highly urgent.

[0063] Given the poor quality of the wireless network but the high urgency of the information, the AR device will intelligently adjust its transmission strategy. For example, it may prioritize the transmission frequency to ensure that the information can be sent as quickly as possible, but it will appropriately reduce the transmission granularity, such as sending only key trajectory point data (such as the starting point, turning point, and ending point of the detour) instead of detailed trajectory data every second, in order to reduce the amount of data.

[0064] Ultimately, the AR device will send concise but crucial deviation feedback information to the server based on the adjusted transmission frequency and granularity. Upon receiving this information, the server can quickly understand the actual situation of the rescue unit and, combining environmental sensor data and accident evolution calculation mechanisms, recalculate and update the recommended safe movement direction, such as providing a new detour route, and send it to the AR device. This adaptive transmission method ensures that critical deviation information can still be transmitted promptly and effectively even under network constraints, thereby guaranteeing the real-time nature and accuracy of the rescue simulation.

[0065] In some embodiments, step C31, specifically the steps of assessing the urgency of the deviation feedback information, include: C311. Obtain the location information of the rescue unit; C312. Obtain information on risk areas and mission areas in the port area; C313. Based on the location information and deviation feedback information of the rescue unit, combined with the risk area information, determine whether the deviation trend points to or enters the risk area; C314. Based on the location information and deviation feedback information of the rescue unit, combined with the mission area information, determine whether the deviation trend deviates from the mission area; C315. Determine the urgency of deviation feedback information based on the relationship between deviation trends and risk areas, as well as the relationship between deviation trends and task areas.

[0066] The location information of rescue units can be obtained using various positioning technologies, such as the Global Positioning System (GPS), inertial navigation systems, ultra-wideband (UWB) positioning systems, or Wi-Fi / Bluetooth-based indoor positioning systems, to ensure accurate real-time location acquisition. Risk area information in the port area refers to the tiered risk zones delineated by the server based on environmental sensor data (such as toxic gas concentration data, flammable gas concentration data, and structural vibration data) and a pre-defined accident evolution calculation mechanism, predicting the spread of hazardous areas. These zones include absolute avoidance zones and relative risk zones. Mission area information refers to the specific geographical range or target area pre-defined for rescue units to carry out rescue missions. Deviation trend can be understood as the direction and magnitude of the deviation between the actual movement trajectory of the rescue unit and the recommended safe movement direction over time. It reflects whether the rescue unit's movement direction is moving away from or approaching a hazardous area, or whether it is deviating from or returning to the mission area. The urgency of deviation feedback information can be determined by quantifying it into different levels, such as "low," "medium," and "high," or specific numerical values, so that the transmission strategy can be adjusted accordingly.

[0067] The present invention constructs a comprehensive situational awareness foundation by acquiring real-time location information of rescue units, risk area information of port areas, and mission area information. Based on this, by analyzing the relationship between the deviation trend of rescue units and risk areas, it can promptly identify whether rescue units are moving towards or have already entered dangerous areas, thereby providing early warning of potential dangers. Simultaneously, by judging the relationship between the deviation trend and the mission area, it can ensure that rescue units remain on the correct mission execution path and avoid deviating from the predetermined objective. Therefore, by combining the above judgments, the urgency of deviation feedback information can be accurately determined, providing a precise basis for subsequently adjusting the transmission frequency and granularity of AR devices based on wireless network quality and the urgency of deviation feedback information.

[0068] The aforementioned technical solution enables a refined assessment of the deviation between the actual movement trajectory of rescue units and the recommended safe movement direction. Especially in complex and ever-changing accident scenes, this solution can accurately determine the potential hazards or impacts of deviations by combining environmental risks and mission objectives. This ensures that subsequent deviation feedback information transmission strategies can be dynamically adjusted according to the actual urgency, avoiding unnecessary network load while guaranteeing the timely transmission of critical emergency information, thereby improving the response efficiency and safety of rescue operations.

[0069] In some embodiments, the specific steps in step C32 include: C321. Identify key trajectory points of the actual movement trajectory; key trajectory points include trajectory points where the rescue unit approaches the boundary of the danger zone, trajectory points where the direction of movement of the rescue unit changes significantly, or trajectory points where the deviation of the rescue unit from the recommended safe direction of movement exceeds the second preset value. C322. Based on the quality of the wireless network and the urgency of the deviation feedback information, adjust the transmission frequency and granularity of the AR device by prioritizing the retention of the original information of key trajectory points and simplifying the trajectory information other than key trajectory points.

[0070] Specifically, key trajectory points for identifying the actual movement trajectory refer to specific locations within the actual movement trajectory calculated by the rescue unit's AR equipment that are of significant importance to the safety or mission execution of the rescue unit. These key trajectory points may include, but are not limited to: trajectory points near the boundary of a preset danger zone when the rescue unit's actual movement path approaches it; points where the rescue unit's movement direction changes significantly, such as sharp turns or sudden stops; or trajectory points where the deviation between the rescue unit's actual movement trajectory and the server-recommended safe movement direction exceeds a second preset value. The second preset value can be set according to the actual application scenario and safety requirements; for example, it can be a distance threshold or an angle threshold.

[0071] Specifically, based on the quality of the wireless network and the urgency of the deviation feedback information, the transmission frequency and granularity of the AR device are adjusted by prioritizing the retention of the original information of key trajectory points and simplifying trajectory information other than key trajectory points. This means that the AR device intelligently filters and compresses trajectory data when generating deviation feedback information. For identified key trajectory points, their original, high-precision location, time, and direction information are fully preserved to ensure that the server obtains the most accurate critical data. For non-critical trajectory points, their information can be appropriately simplified, for example, by reducing the sampling frequency, performing data smoothing, or transmitting only key feature points to reduce the amount of data. This differentiated processing approach aims to maximize transmission efficiency under limited bandwidth and varying levels of urgency, while ensuring the integrity and timeliness of critical security information.

[0072] This invention identifies critical trajectory points vital to the safety of rescue units through intelligent analysis of actual movement trajectories. Because these critical trajectory points carry crucial information about potential dangers or deviations from the mission that the rescue unit may face, the original, high-precision information of these critical trajectory points is prioritized for transmission of deviation feedback information, while non-critical trajectory points are appropriately simplified. This strategy ensures that the most essential and critical deviation information is transmitted to the server promptly and accurately, even in situations with poor wireless network quality or high urgency of deviation feedback. Based on this high-precision critical information, the server can more accurately assess the actual state and potential risks of the rescue unit, thereby more accurately and quickly recalculating and updating the recommended safe movement direction, effectively responding to emergencies.

[0073] Through the above technical solution, this invention overcomes the contradiction between efficiency and accuracy that may exist in traditional methods when transmitting deviation feedback information. Especially during wireless network quality fluctuations or emergencies, by intelligently identifying and prioritizing the transmission of key trajectory point information, the effectiveness of deviation feedback information and the timeliness of server response can be significantly improved. This not only optimizes data transmission efficiency and reduces unnecessary bandwidth consumption, but more importantly, it ensures that when precise information is most needed, the server can obtain sufficient data to make accurate judgments and decisions, thereby significantly improving the real-time performance and safety of accident rescue simulations and providing more reliable dynamic guidance for rescue units.

[0074] As a specific implementation, assume that the rescue unit's AR device is performing a mission within the port area and continuously receives recommended safe movement directions from the server. When the AR device detects a deviation between the rescue unit's actual movement trajectory and the recommended direction, it initiates the generation of deviation feedback information. In step C321, the AR device analyzes its movement trajectory in real time. For example, if the rescue unit suddenly moves towards the boundary of a known hazardous area with a toxic gas leak, the trajectory points approaching that boundary will be immediately marked as critical trajectory points. Similarly, if the rescue unit makes a sharp turn to bypass a suddenly appearing obstacle, resulting in a significant change in movement direction, the trajectory point of this sharp turn will also be identified as a critical trajectory point. Furthermore, if the deviation between the rescue unit and the recommended safe movement direction continuously exceeds a second preset value, such as 5 meters, all trajectory points exceeding this threshold will also be marked as critical.

[0075] In step C322, the AR device adjusts its transmission strategy based on the current wireless network quality (e.g., signal strength, bandwidth) and the urgency of the deviation feedback information (e.g., high urgency if the deviation trend points to a danger zone, based on the assessment in step C31). For example, if the wireless network quality is good and the urgency is low, the AR device may transmit all trajectory point information at a higher frequency, but slightly compress non-critical points. However, if the wireless network quality is poor and the urgency is high (e.g., rescue units are rapidly approaching a danger zone), the AR device prioritizes ensuring that the original, high-precision data (e.g., 10 GPS coordinates per second) of critical trajectory points is transmitted completely, while for non-critical trajectory points, its sampling frequency may be reduced (e.g., 1 GPS coordinate per second), or only its start and end points may be transmitted. This maximizes the transmission efficiency and accuracy of critical information within limited bandwidth, ensuring that the server can obtain the most critical deviation information in a timely manner to recalculate and issue new recommended safe movement directions.

[0076] Reference Appendix Figure 3 This invention provides an accident rescue simulation terminal control system, comprising: The receiving module 100 is used to receive emergency response plans sent by the server through an independent priority communication channel; the emergency response plans include recommended response plans generated for rescue units identified as facing emergency threats; The control display module 200 is used to forcibly pause the low-priority interface rendering task currently being executed by the main rendering thread when an emergency response plan is received, and to prioritize the display of the emergency response plan on the top layer of the screen in a preset simplified interface; the simplified interface provides an operation confirmation button decoupled from the main rendering thread. The instruction issuing module 300 is used to generate a confirmation instruction when the operation confirmation button is triggered, and to send the confirmation instruction to the AR device of the rescue unit through the priority communication channel to drive the AR device to execute the recommended treatment plan.

[0077] In this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations.

[0078] The above description is merely an embodiment of the present invention and is not intended to limit the scope of protection of the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A terminal control method for accident rescue simulation, characterized in that, Includes the following steps: S1. Receive emergency response plans sent by the server through an independent priority communication channel; the emergency response plans include recommended response plans generated for rescue units identified as facing emergency threats; S2. Upon receiving an emergency response plan, forcibly pause the low-priority UI rendering tasks currently being executed by the main rendering thread, and prioritize display the emergency response plan in a preset simplified interface at the top of the screen; the simplified interface provides an operation confirmation button decoupled from the main rendering thread. S3. When the operation confirmation button is triggered, a confirmation command is generated and sent to the AR device of the rescue unit through the priority communication channel to drive the AR device to execute the recommended treatment plan.

2. The accident rescue simulation terminal control method according to claim 1, characterized in that, The steps for generating an emergency response plan on the server include A1 and A2: A1. Based on the received environmental sensor data, predict the spread of the danger zone through a preset accident evolution prediction mechanism; A2. When it is predicted that the dangerous area will spread to the rescue unit within a preset time, the rescue unit is identified as facing an emergency threat, and an emergency response plan is generated for the rescue unit identified as facing an emergency threat.

3. The accident rescue simulation terminal control method according to claim 2, characterized in that, Environmental sensor data includes toxic gas concentration data, flammable gas concentration data, and structural vibration data.

4. The accident rescue simulation terminal control method according to claim 2, characterized in that, Step A2, the steps for generating an emergency response plan for rescue units identified as facing an emergency threat, include: A21. The server delineates tiered risk zones within the port area based on environmental sensor data; A22. Based on the current location of the rescue unit and the tiered risk areas, calculate the recommended safe movement direction of the rescue unit and generate an emergency response plan as the recommended disposal plan; when the emergency response plan is subsequently displayed on the simplified interface, the simplified interface displays an authorization request for the recommended safe movement direction, and the operation confirmation button is used to authorize the rescue unit to follow the recommended safe movement direction.

5. The accident rescue simulation terminal control method according to claim 4, characterized in that, The risk zones are divided into absolute avoidance zones and relative risk zones.

6. The accident rescue simulation terminal control method according to claim 4, characterized in that, Step S3 is followed by: S4. Continuously receive recommended safe movement directions updated by the server and synchronously send the new recommended safe movement directions to the AR devices of the rescue unit; wherein, the steps of the server updating the recommended safe movement directions include B1: B1. Based on the deviation feedback information sent by the rescue unit's AR device, recalculate the new recommended safe movement direction; the processing steps of the deviation feedback information in the AR device include C1-C3: C1. When an AR device detects an obstacle or terrain restriction, it calculates the actual movement trajectory that can bypass the obstacle or terrain restriction. C2. Calculate the degree of deviation between the actual movement trajectory and the recommended safe movement direction; C3. When the deviation exceeds the first preset value, generate deviation feedback information and send it to the server.

7. The accident rescue simulation terminal control method according to claim 6, characterized in that, The specific steps in step C3 include: C31. Monitor wireless network quality and assess the urgency of deviation feedback information; C32. Adjust the transmission frequency and granularity of the AR device according to the quality of the wireless network and the urgency of the deviation feedback information; C33. When the deviation exceeds the preset value, the deviation feedback information is sent to the server according to the adjusted transmission frequency and transmission granularity.

8. The accident rescue simulation terminal control method according to claim 7, characterized in that, In step C31, the specific steps for assessing the urgency of the deviation feedback information include: C311. Obtain the location information of the rescue unit; C312. Obtain information on risk areas and mission areas in the port area; C313. Based on the location information and deviation feedback information of the rescue unit, combined with the risk area information, determine whether the deviation trend points to or enters the risk area; C314. Based on the location information and deviation feedback information of the rescue unit, combined with the mission area information, determine whether the deviation trend deviates from the mission area; C315. Determine the urgency of deviation feedback information based on the relationship between deviation trends and risk areas, as well as the relationship between deviation trends and task areas.

9. The accident rescue simulation terminal control method according to claim 7, characterized in that, The specific steps in step C32 include: C321. Identify key trajectory points of the actual movement trajectory; C322. Based on the quality of the wireless network and the urgency of deviation feedback information, adjust the transmission frequency and granularity of the AR device by prioritizing the retention of the original information of key trajectory points and simplifying trajectory information other than key trajectory points.

10. A terminal control system for accident rescue simulation, characterized in that, include: The receiving module is used to receive emergency response plans sent by the server through an independent priority communication channel; Emergency response plans include recommended response plans generated for rescue units identified as facing urgent threats; The control display module is used to forcibly pause the low-priority interface rendering task currently being executed by the main rendering thread when an emergency response plan is received, and to display the emergency response plan in a preset simplified interface on the top layer of the screen. The simplified interface provides an operation confirmation button that is decoupled from the main rendering thread; The instruction issuance module is used to generate a confirmation instruction when the operation confirmation button is triggered, and to send the confirmation instruction to the AR device of the rescue unit through a priority communication channel to drive the AR device to execute the recommended treatment plan.

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