Communication link aggregation method and device for emergency dispatching vehicle

Abstract

The invention relates to a communication link aggregation method and device of an emergency dispatching vehicle, and belongs to the technical field of emergency communication, and the communication link aggregation method of the emergency dispatching vehicle comprises the following steps: obtaining real-time multi-modal data of the emergency dispatching vehicle, the real-time multi-modal data comprising network parameters, environment data and task metadata; the real-time multi-modal data is used as input of a communication link aggregation model, a communication link aggregation result is determined based on output of the communication link aggregation model, and the communication link aggregation result comprises a selection result of a main link, a bandwidth proportion of each communication link and a priority ranking result of standby links; wherein the communication link aggregation model is constructed on the basis of a Transform architecture, importance weights are allocated to the input parameters on the basis of a self-attention mechanism, and the self-attention mechanism is determined according to the influence degree between the multi-modal data. According to the invention, the high-reliability communication requirement of the emergency dispatching vehicle in an emergency scene is effectively ensured.

Description

Technical Field

[0001] The present invention relates to the field of emergency communication technology, and in particular to a communication link aggregation method and device for an emergency dispatch vehicle. Background Art

[0002] In emergencies such as traffic accidents, natural disasters, and sudden incidents, fast, stable, and reliable communications are crucial for emergency communications and command and dispatch. Traditional emergency dispatch vehicles rely on a single method of communication. For example, some rely primarily on shortwave communications. While shortwave communications offer some long-distance communication capabilities, signal quality is significantly affected by the environment and data transmission rates are limited, making them incapable of meeting modern emergency command requirements such as real-time HD video transmission. Emergency dispatch vehicles that rely solely on terrestrial mobile communication networks (such as 4G and 5G) will experience severe communication limitations and malfunction if base stations are damaged or signal coverage is poor. Satellite communications offer global coverage but are relatively costly and bandwidth resources are relatively limited. Traditional emergency communication methods often have limitations. Single communication links are prone to signal interruptions and communication problems in complex environments.

[0003] Therefore, existing emergency dispatch vehicle communication methods are difficult to meet the high-reliability communication requirements in emergency scenarios. Summary of the Invention

[0004] In view of this, it is necessary to provide a communication link aggregation method and device for an emergency dispatch vehicle to solve the problem that existing emergency dispatch vehicle communication means are difficult to meet the high reliability communication requirements in emergency scenarios.

[0005] In order to solve the above problems, in a first aspect, the present invention provides a communication link aggregation method for an emergency dispatch vehicle, comprising: Acquiring real-time multimodal data of the emergency dispatch vehicle, wherein the real-time multimodal data includes network parameters, environmental data, and mission metadata; Using the real-time multimodal data as input to a communication link aggregation model, and determining a communication link aggregation result based on an output of the communication link aggregation model, the communication link aggregation result including a primary link selection result, a bandwidth ratio of each communication link, and a priority ranking result of backup links; Among them, the communication link aggregation model is built based on the Transformer architecture, and the importance weight is assigned to each input parameter based on the self-attention mechanism, which is determined according to the degree of influence between multimodal data.

[0006] In one possible implementation, the network parameters include signal strength, bandwidth, delay time and bit error rate; the environmental data include terrain coding values, weather coding values, base station distribution density and satellite coverage status coding values; the mission metadata include mission type coding values and mission level; and the communication links include mobile communication links, satellite communication links and shortwave communication links.

[0007] In one possible implementation, the degree of influence between the multimodal data is determined based on an influence deviation value between the multimodal data. The influence deviation value between the multimodal data includes: The impact deviation value between the signal strength and the terrain encoding value; The impact deviation between signal strength and base station distribution density; The impact deviation value between the signal strength and the satellite coverage status code value; The impact deviation value between bandwidth and task type coding value; The impact deviation value between the delay time and the weather coding value; The impact deviation value between the bit error rate and the task level.

[0008] In one possible implementation, using the real-time multimodal data as input to a communication link aggregation model and determining a communication link aggregation result based on an output of the communication link aggregation model includes: Based on the self-attention mechanism, importance weights are assigned to each input parameter to determine the score value of each communication link; The communication link aggregation result is determined based on the score value of each communication link.

[0009] In a possible implementation, determining the communication link aggregation result based on the score value of each communication link includes: The communication link with the highest score is determined as the selection result of the main link, and the bandwidth proportion of each communication link and the priority ranking result of the backup link are determined based on the score of each communication link.

[0010] In one possible implementation, determining the bandwidth proportion of each communication link and the priority ranking result of the backup links based on the score value of each communication link includes: Determine the bandwidth proportion of each communication link based on the normalized result of the score value of each communication link; The priority ranking result of the backup links is determined based on the ranking result of the score values of each communication link.

[0011] In a possible implementation, the method further includes: When a primary link fails or the bit error rate of the primary link is greater than a bit error rate threshold, the primary link is switched to a backup link with the highest priority.

[0012] On the other hand, the present invention also provides a communication link aggregation device for an emergency dispatch vehicle, comprising: An acquisition module is used to acquire real-time multimodal data of the emergency dispatch vehicle, wherein the real-time multimodal data includes network parameters, environmental data and task metadata; a determination module, configured to use the real-time multimodal data as input to a communication link aggregation model, and determine a communication link aggregation result based on an output of the communication link aggregation model, the communication link aggregation result including a primary link selection result, a bandwidth ratio of each communication link, and a priority ranking result of backup links; Among them, the communication link aggregation model is built based on the Transformer architecture, and the importance weight is assigned to each input parameter based on the self-attention mechanism, which is determined according to the degree of influence between multimodal data.

[0013] In a second aspect, the present invention further provides a link aggregation device, comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the communication link aggregation method for the emergency dispatch vehicle described in any of the above implementations.

[0014] In a third aspect, the present invention further provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps of the communication link aggregation method for an emergency dispatch vehicle described in any of the above implementations.

[0015] The beneficial effects of the present invention are as follows: the communication link aggregation method and device for the emergency dispatch vehicle provided by the present invention first obtain the real-time multimodal data of the emergency dispatch vehicle to determine the current network status of each communication link of the emergency dispatch vehicle and the current data transmission task status, and then construct a communication link aggregation model based on the Transformer architecture to assign importance weights to each input parameter based on the self-attention mechanism, convert the real-time multimodal data into a score for each communication link, and then determine the communication link aggregation result, thereby determining the communication link aggregation scheme that best fits the actual network status and task transmission situation, ensuring the reliability of the emergency dispatch vehicle's communication. The present invention effectively guarantees the high-reliability communication requirements of the emergency dispatch vehicle in emergency scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic flow chart of an embodiment of a communication link aggregation method for an emergency dispatch vehicle provided by the present invention; Figure 2A schematic diagram of an embodiment of the communication link aggregation process provided by the present invention; Figure 3 A schematic structural diagram of an embodiment of a communication link aggregation device for an emergency dispatch vehicle provided by the present invention; Figure 4 This is a schematic structural diagram of an embodiment of the link aggregation device provided by the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0018] In the description of the embodiments of the present invention, unless otherwise specified, "plurality" means two or more. "And / or" describes the association relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone.

[0019] The terms "first," "second," and so on, used in the embodiments of the present invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, technical features designated as "first" or "second" may explicitly or implicitly include at least one such feature.

[0020] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0021] Before presenting the embodiments, the following terms are explained.

[0022] Mobile communications: Mobile communications refers to the exchange of information between two or more parties while on the move using wireless technology. It is a crucial component of modern communications technology and is widely used in areas such as personal communications, the Internet of Things, and intelligent transportation.

[0023] Satellite communications: Satellite communications uses artificial satellites as relay stations to enable communication between users on Earth or in space. It is a crucial component of modern communications systems, particularly suitable for use in remote areas, at sea, in the air, and for emergency communications.

[0024] Shortwave communication: Shortwave communication, also known as high-frequency communication, is radio communication using electromagnetic waves with a wavelength of 100-10m. Shortwave communication primarily relies on sky waves, which can be reflected once or several times by the ionosphere and can reach distances of up to tens of thousands of miles. By selecting an appropriate frequency based on factors such as climate, diurnal variations in the electron density and altitude of the ionosphere, and communication distance, long-distance communication can be achieved with lower power. Shortwave communication equipment is relatively simple and highly mobile, making it suitable for emergency and disaster relief communications.

[0025] The present invention provides a communication link aggregation method and device for an emergency dispatch vehicle, which are described below.

[0026] Figure 1 A flow chart of an embodiment of the communication link aggregation method for emergency dispatch vehicles provided by the present invention is shown as follows: Figure 1 As shown, the communication link aggregation method of the emergency dispatch vehicle includes: S101. Acquire real-time multimodal data of an emergency dispatch vehicle, where the real-time multimodal data includes network parameters, environmental data, and task metadata.

[0027] It should be noted that by obtaining real-time multimodal data of the emergency dispatch vehicle, including network parameters, environmental data, and task metadata, the current network status of each communication link of the emergency dispatch vehicle and the current data transmission task status can be determined, which facilitates the subsequent reasonable aggregation of communication links.

[0028] S102: Using the real-time multimodal data as input to a communication link aggregation model, and determining a communication link aggregation result based on an output of the communication link aggregation model, the communication link aggregation result including a primary link selection result, a bandwidth ratio of each communication link, and a priority ranking result of backup links; Among them, the communication link aggregation model is built based on the Transformer architecture, and the importance weight is assigned to each input parameter based on the self-attention mechanism, which is determined according to the degree of influence between multimodal data.

[0029] It should be noted that by building a communication link aggregation model based on the Transformer architecture and assigning importance weights to each input parameter through a self-attention mechanism, real-time multimodal data can be converted into scores for each communication link, thereby determining the communication link aggregation results, including the selection of the main link, the bandwidth share of each communication link, and the priority ranking of the backup links. This allows the communication link aggregation scheme that best fits the actual network status and task transmission situation to be determined, ensuring the reliability of emergency dispatch vehicle communications. By determining the self-attention mechanism based on the degree of influence between multimodal data, the most appropriate weights can be assigned to multimodal data based on the actual network status and task transmission situation, enabling the subsequent selection of the most appropriate communication link, further ensuring the reliability of emergency dispatch vehicle communications.

[0030] In summary, the communication link aggregation method for an emergency dispatch vehicle provided by an embodiment of the present invention first obtains real-time multimodal data of the emergency dispatch vehicle to determine the current network status of each communication link of the emergency dispatch vehicle and the current data transmission task status. Then, a communication link aggregation model is constructed based on the Transformer architecture to assign importance weights to each input parameter based on a self-attention mechanism. The real-time multimodal data is converted into a score for each communication link, and then the communication link aggregation result is determined, thereby determining the communication link aggregation scheme that best fits the actual network status and task transmission situation, thereby ensuring the reliability of the emergency dispatch vehicle's communication. The present invention effectively ensures the high-reliability communication requirements of the emergency dispatch vehicle in emergency scenarios.

[0031] Combine Figure 2 From the perspective of the present invention, the communication link aggregation process provided by the present invention specifically includes the following steps: 1. Model architecture design.

[0032] Basic model: uses the Transformer architecture and is good at processing multimodal data and long sequence dependencies.

[0033] Input layer: Receives multi-dimensional data (signal strength, delay, bit error rate, positioning information, task priority encoding).

[0034] Attention mechanism: Dynamically weight key parameters through Self-Attention (such as high bit error rate triggering network switching).

[0035] Output layer: multi-task output: Primary link selection (4G / 5G / satellite / shortwave, classified tasks).

[0036] Bandwidth allocation strategy (regression task, bandwidth allocation ratio for each link).

[0037] Redundant link configuration (backup link priority).

[0038] 2. Data collection and processing.

[0039] In some embodiments of the present invention, network parameters may include signal strength, bandwidth, latency, and bit error rate; environmental data may include terrain encoding values, weather encoding values, base station distribution density, and satellite coverage status encoding values; and mission metadata may include mission type encoding values and mission level. Each communication link may include a mobile communication link, a satellite communication link, and a shortwave communication link.

[0040] The terrain coding value can be mountainous area (0) or urban area (1), the weather coding value can be rain (0), snow (1), fog (2), etc., and the task type coding value can include video transmission (0), voice command (1), text communication, etc. (2). The task level can be used to indicate the task processing priority, which can be determined according to the communication requirements.

[0041] 3. Model training.

[0042] Loss function: Main loss: categorical cross entropy (link selection).

[0043] Auxiliary loss: mean squared error (bandwidth allocation).

[0044] Penalty item: Add switching frequency penalty (to suppress frequent switching).

[0045] Reinforcement Learning Framework: Reward function: Based on communication stability (e.g., 30 seconds of uninterrupted communication + 1 point) and task completion efficiency (e.g., video transmission delay < 500ms + 2 points).

[0046] Exploration strategy: Greedy algorithm balances exploration and exploitation.

[0047] 4. Model deployment and optimization.

[0048] Edge computing: Lightweight the model (model pruning + quantization) and deploy it to the in-vehicle data processing platform.

[0049] Real-time inference: Input data preprocessing takes less than 50ms.

[0050] Model inference takes less than 100ms (meeting millisecond-level switching requirements).

[0051] Online Learning: Incremental update: collect new data daily and fine-tune model parameters.

[0052] Anomaly detection: When the model decision deviates from the actual performance by more than 20%, retraining is triggered.

[0053] In some embodiments of the present invention, the degree of influence between multimodal data is determined based on an influence deviation value between the multimodal data. The influence deviation value between the multimodal data includes: The impact deviation value between the signal strength and the terrain encoding value; The impact deviation between signal strength and base station distribution density; The impact deviation value between the signal strength and the satellite coverage status code value; The impact deviation value between bandwidth and task type coding value; The impact deviation value between the delay time and the weather coding value; The impact deviation value between the bit error rate and the task level.

[0054] It should be noted that by determining the degree of influence between multimodal data through the influence deviation value between them, and then determining the self-attention mechanism, we can fully consider the correlation between multimodal data, thereby dynamically assigning the most appropriate weights to multimodal data. For example, terrain factors and base station distribution density will affect the signal strength of mobile communication links, satellite coverage will affect the signal strength of satellite communication links, bandwidth will affect different mission types, latency will affect different weather conditions, and bit error rate will affect different mission levels. By considering the degree of influence between these multimodal data, we can ensure the rationality of link aggregation results and further improve the reliability of emergency dispatch vehicle communications.

[0055] In some embodiments of the present invention, taking the real-time multimodal data as input to a communication link aggregation model and determining a communication link aggregation result based on an output of the communication link aggregation model includes: Based on the self-attention mechanism, importance weights are assigned to each input parameter to determine the score value of each communication link; The communication link aggregation result is determined based on the score value of each communication link.

[0056] It should be noted that by assigning importance weights to each input parameter and determining the score value of each communication link through the self-attention mechanism, the communication link aggregation decision can be dynamically adjusted. For example, when the bit error rate suddenly increases, the attention weight is biased towards the bit error rate parameter, triggering link switching, and then giving priority to high-bandwidth, low-bit error rate links, thereby further ensuring the reliability of emergency communications.

[0057] In some embodiments of the present invention, determining the communication link aggregation result based on the score value of each communication link includes: The communication link with the highest score is determined as the selection result of the main link, and the bandwidth proportion of each communication link and the priority ranking result of the backup link are determined based on the score of each communication link.

[0058] It should be noted that after determining the score of each communication link, the score of each communication link can be used to further determine the selection of the primary link, the bandwidth share of each communication link, and the priority ranking of the backup links. For example, the communication link with the highest score can be selected as the primary link, and communication links with higher scores can be assigned a higher bandwidth share and priority to ensure communication quality.

[0059] In some embodiments of the present invention, determining the bandwidth proportion of each communication link and the priority ranking result of the backup link based on the score value of each communication link includes: Determine the bandwidth proportion of each communication link based on the normalized result of the score value of each communication link; The priority ranking result of the backup links is determined based on the ranking result of the score values of each communication link.

[0060] It should be noted that when determining the bandwidth share of each communication link and the priority ranking of backup links based on the score of each communication link, the score of each communication link can be normalized, and the bandwidth share of each communication link can be determined based on the normalized result, thereby reasonably allocating bandwidth. The priority ranking of the backup links is then determined based on the ranking of the communication link scores to ensure the communication quality of the backup links.

[0061] In some embodiments of the present invention, the method further comprises: When a primary link fails or the bit error rate of the primary link is greater than a bit error rate threshold, the primary link is switched to a backup link with the highest priority.

[0062] It should be noted that: in order to further improve the reliability of emergency communications, when the main link fails or the bit error rate of the main link is greater than the bit error rate threshold, the main link can be switched to the backup link with the highest priority to ensure the quality of data transmission.

[0063] In some embodiments of the present invention, the communication links include mobile communication links, satellite communication links and shortwave communication links.

[0064] It should be noted that by setting up mobile communication links, satellite communication links and shortwave communication links on the emergency dispatch vehicle, the emergency communication needs of the emergency dispatch vehicle in various emergency scenarios can be guaranteed.

[0065] In order to better implement the communication link aggregation method of the emergency dispatch vehicle in the embodiment of the present invention, based on the communication link aggregation method of the emergency dispatch vehicle, correspondingly, Figure 3As shown, an embodiment of the present invention further provides a communication link aggregation device for an emergency dispatch vehicle. The communication link aggregation device 300 for an emergency dispatch vehicle includes: An acquisition module 301 is configured to acquire real-time multimodal data of an emergency dispatch vehicle, wherein the real-time multimodal data includes network parameters, environmental data, and task metadata; a determination module 302 configured to use the real-time multimodal data as input to a communication link aggregation model and determine a communication link aggregation result based on an output of the communication link aggregation model, the communication link aggregation result including a primary link selection result, a bandwidth share of each communication link, and a priority ranking result of backup links; Among them, the communication link aggregation model is built based on the Transformer architecture, and the importance weight is assigned to each input parameter based on the self-attention mechanism, which is determined according to the degree of influence between multimodal data.

[0066] The communication link aggregation device 300 for the emergency dispatch vehicle provided in the above embodiment can implement the technical solution described in the above embodiment of the communication link aggregation method for the emergency dispatch vehicle. The specific implementation principles of the above modules or units can be found in the corresponding contents of the above embodiment of the communication link aggregation method for the emergency dispatch vehicle, which will not be repeated here.

[0067] like Figure 4 As shown, the present invention also provides a link aggregation device 400. The link aggregation device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only some of the components of the link aggregation device 400 are shown, but it should be understood that implementation of all of the shown components is not required, and more or fewer components may be implemented instead.

[0068] In some embodiments, the processor 401 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 402 , such as the magnetic resonance image optimization method of the present invention.

[0069] In some embodiments, processor 401 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, processor 401 may be local or remote. In some embodiments, processor 401 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, multiple clouds, or any combination thereof.

[0070] In some embodiments, memory 402 may be an internal storage unit of link aggregation device 400, such as a hard disk or memory of link aggregation device 400. In other embodiments, memory 402 may be an external storage device of link aggregation device 400, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, or a flash card equipped on link aggregation device 400.

[0071] Furthermore, the memory 402 may include both an internal storage unit of the link aggregation device 400 and an external storage device. The memory 402 is used to store application software installed on the link aggregation device 400 and various data.

[0072] In some embodiments, display 403 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an organic light-emitting diode (OLED) touchscreen. Display 403 is used to display information on link aggregation device 400 and to display a visual user interface. Components 401-403 of link aggregation device 400 communicate with each other via a system bus.

[0073] In one embodiment, when the processor 401 executes the communication link aggregation program for the emergency dispatch vehicle in the memory 402, the following steps may be implemented: Acquiring real-time multimodal data of the emergency dispatch vehicle, wherein the real-time multimodal data includes network parameters, environmental data, and mission metadata; Using the real-time multimodal data as input to a communication link aggregation model, and determining a communication link aggregation result based on an output of the communication link aggregation model, the communication link aggregation result including a primary link selection result, a bandwidth ratio of each communication link, and a priority ranking result of backup links; Among them, the communication link aggregation model is built based on the Transformer architecture, and the importance weight is assigned to each input parameter based on the self-attention mechanism, which is determined according to the degree of influence between multimodal data.

[0074] It should be understood that, when the processor 401 executes the communication link aggregation program for the emergency dispatch vehicle in the memory 402 , in addition to the above functions, it can also implement other functions. For details, please refer to the description of the corresponding method embodiment above.

[0075] Furthermore, the embodiments of the present invention do not specifically limit the type of link aggregation device 400. Link aggregation device 400 may be a portable electronic device such as a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, or laptop computer. Exemplary portable electronic devices include, but are not limited to, those running iOS, Android, Microsoft, or other operating systems. These portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in other embodiments of the present invention, link aggregation device 400 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0076] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions of the communication link aggregation method for the emergency dispatch vehicle provided in the above-mentioned method embodiments can be implemented.

[0077] Those skilled in the art will appreciate that all or part of the process flow of the above-described method embodiment can be implemented by instructing related hardware (such as a processor, controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a magnetic disk, an optical disk, a read-only memory, or a random access memory.

[0078] The above is a detailed introduction to the communication link aggregation method and device for the emergency dispatch vehicle provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method and core ideas of the present invention. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A communication link aggregation method for an emergency dispatch vehicle, characterized in that: include: Acquiring real-time multimodal data of the emergency dispatch vehicle, wherein the real-time multimodal data includes network parameters, environmental data, and mission metadata; Using the real-time multimodal data as input to a communication link aggregation model, and determining a communication link aggregation result based on an output of the communication link aggregation model, the communication link aggregation result including a primary link selection result, a bandwidth ratio of each communication link, and a priority ranking result of backup links; Among them, the communication link aggregation model is built based on the Transformer architecture, and the importance weight is assigned to each input parameter based on the self-attention mechanism, which is determined according to the degree of influence between multimodal data.

2. The communication link aggregation method for emergency dispatch vehicles according to claim 1, characterized in that: The network parameters include signal strength, bandwidth, delay time and bit error rate; the environmental data include terrain coding value, weather coding value, base station distribution density and satellite coverage status coding value; the mission metadata include mission type coding value and mission level; and the communication links include mobile communication links, satellite communication links and shortwave communication links.

3. The communication link aggregation method for emergency dispatch vehicles according to claim 2, characterized in that: The degree of influence between multimodal data is determined based on the influence deviation value between the multimodal data. The influence deviation value between the multimodal data includes: The impact deviation value between the signal strength and the terrain encoding value; The impact deviation between signal strength and base station distribution density; The impact deviation value between the signal strength and the satellite coverage status code value; The impact deviation value between bandwidth and task type coding value; The impact deviation value between the delay time and the weather coding value; The impact deviation value between the bit error rate and the task level.

4. The communication link aggregation method for emergency dispatch vehicles according to claim 3, characterized in that: The step of using the real-time multimodal data as an input of a communication link aggregation model and determining a communication link aggregation result based on an output of the communication link aggregation model includes: Based on the self-attention mechanism, importance weights are assigned to each input parameter to determine the score value of each communication link; The communication link aggregation result is determined based on the score value of each communication link.

5. The communication link aggregation method for emergency dispatch vehicles according to claim 4, characterized in that: The determining the communication link aggregation result based on the score value of each communication link includes: The communication link with the highest score is determined as the selection result of the main link, and the bandwidth proportion of each communication link and the priority ranking result of the backup link are determined based on the score of each communication link.

6. The communication link aggregation method for emergency dispatch vehicles according to claim 5, characterized in that: The determining of the bandwidth proportion of each communication link and the priority ranking result of the backup link based on the score value of each communication link includes: Determine the bandwidth proportion of each communication link based on the normalized result of the score value of each communication link; The priority ranking result of the backup links is determined based on the ranking result of the score values of each communication link.

7. The communication link aggregation method for emergency dispatch vehicles according to claim 5, characterized in that: The method further comprises: When a primary link fails or the bit error rate of the primary link is greater than a bit error rate threshold, the primary link is switched to a backup link with the highest priority.

8. A communication link aggregation device for an emergency dispatch vehicle, characterized in that: include: An acquisition module is used to acquire real-time multimodal data of the emergency dispatch vehicle, wherein the real-time multimodal data includes network parameters, environmental data and task metadata; a determination module, configured to use the real-time multimodal data as input to a communication link aggregation model, and determine a communication link aggregation result based on an output of the communication link aggregation model, the communication link aggregation result including a primary link selection result, a bandwidth ratio of each communication link, and a priority ranking result of backup links; Among them, the communication link aggregation model is built based on the Transformer architecture, and the importance weight is assigned to each input parameter based on the self-attention mechanism, which is determined according to the degree of influence between multimodal data.

9. A link aggregation device, characterized in that: comprising a memory and a processor, wherein, The memory is used to store programs; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the communication link aggregation method for an emergency dispatch vehicle as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the communication link aggregation method for an emergency dispatch vehicle as described in any one of claims 1 to 7.

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