Department mark terminal group talkback method and system based on wireless communication

Abstract

The invention belongs to the technical field of vehicle-mounted communication, and discloses a wireless communication-based ministry label terminal group talkback method and system, and the method comprises the steps: obtaining ministry label terminal data, and constructing an initial group topological relation network based on the ministry label terminal data; network optimization is carried out to obtain a group communication structure network; on the basis of a group communication structure network, a dynamic spectrum allocation algorithm is adopted to allocate communication resources for all the ministry label terminals, and optimal communication links among the ministry label terminals are calculated and issued to all the ministry label terminals; each department label terminal establishes a group talkback channel based on the received optimal communication link, and carries out the real-time transmission of the voice data in the group through the group talkback channel; meanwhile, communication parameters in the real-time transmission process are adjusted in a self-adaptive mode according to the moving state of the vehicle; according to the invention, the problem of unstable communication in a vehicle-mounted environment is effectively solved, the utilization efficiency of spectrum resources is improved, and the adaptive capacity of the system in a complex road environment is enhanced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle-mounted communication modules, and more particularly, to a departmental terminal group intercom method and system based on wireless communication. BACKGROUND

[0002] Vehicle-mounted wireless communication technology, as an important support means for modern transportation, logistics management and emergency rescue, is widely used in public safety, commercial transportation, engineering vehicle fleet and special vehicles. With the development of intelligent transportation systems and the popularization of vehicle networking technology, the demand for real-time voice communication between vehicles is increasing. Traditional vehicle-mounted intercom systems mainly include analog intercoms, digital trunking communications and voice communications based on cellular networks. These technologies can achieve basic voice interaction functions in fixed or low-speed mobile scenarios. Currently, research on vehicle-mounted communication systems at home and abroad mainly focuses on signal coverage, communication stability and system integration.

[0003] However, the existing vehicle-mounted intercom system design method is mainly based on static topology and ideal channel conditions, and the communication parameters are often kept unchanged after initial configuration. In the actual vehicle operating environment, factors such as communication distance, relative speed, and surrounding obstacles change constantly with the driving route and traffic conditions, and the external electromagnetic environment also varies due to geographical location and surrounding facilities. Traditional systems are slow to respond to changes in vehicle movement state and cannot effectively cope with challenges such as high-speed travel, complex terrain and bad weather, resulting in a significant decline in communication quality when traveling through tunnels or at high speeds, and even problems such as voice interruption. At the same time, existing technologies reflect that the network topology construction method is simple and cannot accurately identify core nodes and key connections in complex mobile networks, resulting in a lack of scientific basis for resource allocation, either causing waste of spectrum resources or insufficient communication capacity leading to congestion. In particular, in multi-vehicle cooperative operation scenarios, the relative positions of vehicles change frequently, and existing technologies cannot deeply analyze the coupling mechanism between position changes and communication quality, and control strategies are often based on simplified models and empirical judgments, making it difficult to achieve precise adjustment. In addition, the single connection stability optimization objective ignores the balance between system communication efficiency and battery life, leading to a contradiction between short-term reliability and long-term availability. In terms of signal processing, noise interference and Doppler effect in the vehicle-mounted environment often cause communication quality to be a concern, affecting voice clarity and transmission efficiency. In addition, existing systems have poor adaptability during network environment changes and require manual intervention to adjust parameters, increasing the complexity of operation and safety risks, and cannot meet the urgent needs of modern vehicle fleet management for efficient, stable and intelligent group communication.

[0004] In view of this, the present application proposes a departmental terminal group intercom method and system based on wireless communication to solve the above problems. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art, in order to achieve the above-mentioned purposes, the present application provides the following technical solutions: A departmental terminal group intercom method based on wireless communication, comprising: Step S1: Obtain departmental terminal data of the departmental terminal, and construct a corresponding initial group topology relationship network based on the same, wherein the departmental terminal data comprises vehicle position information and network connection state information; Step S2: Perform resource optimization analysis based on the initial group topology relationship network, identify core terminals and key connection channels, and perform network optimization on the initial group topology relationship network based on the identified core terminals and key connection channels, to obtain a group communication structure network; Step S3: Based on the group communication structure network, and using a dynamic spectrum allocation algorithm, allocate communication resources to each departmental terminal, calculate the best communication link between the departmental terminals, and issue the same to each departmental terminal; Step S4: Each departmental terminal establishes a group intercom channel based on the received best communication link, and performs real-time transmission of in-group voice data through the group intercom channel; at the same time, adaptively adjusts the communication parameters in the real-time transmission process according to the vehicle movement state.

[0006] Further, the implementation process of step S1 comprises: Obtain real-time geographic coordinate information of each departmental terminal through a satellite positioning terminal, and record the moving speed and direction data of the departmental terminal to form vehicle position information; Generate network connection state information using network signal strength, available frequency band resources and network connection delay data of each departmental terminal; Construct a connection possibility score table according to the geographic distance relationship and network connection state information between each departmental terminal, and construct an undirected weighted graph according to the connection possibility score table, wherein each departmental terminal is a node in the undirected graph, and the communication feasibility between the departmental terminals is the weight of the edge, to obtain the initial group topology relationship network.

[0007] Further, the construction process of the connection possibility score table comprises: Calculate the physical distance between each departmental terminal to form a geographic distance matrix; Based on the network connection state information of each departmental terminal, evaluate the communication link quality between each departmental terminal to form a signal quality matrix; Combine the geographic distance matrix and the signal quality matrix between the departmental terminals through a weighted fusion algorithm to generate a connection possibility score between the departmental terminals; organize the connection possibility score between the departmental terminals into a matrix form to form a connection possibility score table.

[0008] Further, the implementation process of step S2 comprises: Perform node centrality analysis on the constructed initial group topology relationship network to obtain the connectivity, betweenness centrality, and closeness centrality of each department-marked terminal, and perform weighted summation to obtain the comprehensive centrality; department-marked terminals with a comprehensive centrality higher than the preset centrality threshold are marked as core terminals; Perform edge importance assessment on the corresponding initial group topology relationship network to obtain the network traffic carrying capacity and communication stability index of each connection channel in the initial group topology relationship network; and select connection channels whose network traffic carrying capacity and communication stability index are both greater than the preset threshold as key connection channels; The initial group topology relationship network is optimized based on core terminals and key connection channels to obtain a group communication structure network.

[0009] Furthermore, the initial group topology relationship network is optimized based on the core terminals and key connection channels to obtain the group communication structure network. The specific implementation process includes the following steps: Construct a multi-level network architecture with the core terminal as the center, and determine the hierarchical position of each department terminal in the network architecture; Pre-allocating bandwidth resources for the key connection channels and configuring their priorities; Based on the multi-level network architecture and the priority configuration of the key connection channels, a group communication structure network is generated, and the group communication structure network includes priority connection relationships and backup connection solutions between departmental terminals.

[0010] Furthermore, the specific implementation process of step S3 includes the following steps: Build a spectrum resource pool based on network connection status information, and combine the group communication structure network to match network connection requirements with available spectrum resources to construct a spectrum allocation optimization problem; Solve the corresponding spectrum allocation optimization problem to obtain the final spectrum allocation solution; Obtain the best communication link information between departmental standard terminals and send it to each departmental standard terminal.

[0011] Furthermore, the specific implementation process of obtaining the optimal communication link information between the departmental terminals includes the following steps: Obtain all communication paths between terminals of each department based on the group communication structure network; Evaluate the communication quality of each communication path and calculate a comprehensive communication quality index including end-to-end delay, packet loss rate, and link stability; sorting all communication paths according to the comprehensive communication quality index, and selecting the path with the highest comprehensive communication quality index as the primary communication link, and selecting the path with the second highest comprehensive communication quality index as the backup communication link; The routing information of the primary communication link and the backup communication link is combined into optimal communication link information.

[0012] Further, the specific implementation process of the step S4 includes the following steps: Each department terminal receives and parses the optimal communication link information issued, and configures and initializes the group intercom channel based on it, including frequency band selection, coding scheme and transmission protocol setting; Based on the pre-set voice acquisition unit, the real-time voice data of the department terminal user is obtained, and after digital processing and coding compression, the voice data transmission is carried out through the established group intercom channel; During the voice data transmission process, each department terminal real-time monitors the vehicle moving state and network environment change, and dynamically adjusts the communication parameters in the voice data transmission process combined with the adaptive parameter adjustment algorithm.

[0013] Further, the specific execution process of the adaptive parameter adjustment algorithm includes: Based on the speed and direction data in the vehicle position information, the relative moving state matrix is calculated; based on the relative moving state matrix, the potential influence degree of the Doppler effect on signal transmission is evaluated; at the same time, the current channel quality index is real-time collected and analyzed; According to the relative moving state matrix and the channel quality index, through the preset parameter mapping model, the communication parameter adjustment scheme is generated; the communication parameter adjustment scheme is applied to the real-time transmission process, and the adjustment effect is continuously evaluated, forming a closed loop optimization mechanism.

[0014] A department terminal group intercom system based on wireless communication, comprising: Topology construction module; for obtaining department terminal data of department terminal, and constructing the corresponding initial group topology relationship network based on it, the department terminal data including vehicle position information and network connection state information; Topology optimization module; based on the initial group topology relationship network, resource optimization analysis is carried out to identify the core terminal and the key connection channel, and based on the identified core terminal and the key connection channel, the initial group topology relationship network is optimized to obtain the group communication structure network; Resource allocation module; based on the group communication structure network, and using dynamic spectrum allocation algorithm to allocate communication resources for each department terminal, calculate the optimal communication link between department terminals, and issue it to each department terminal; Execution feedback module: each department terminal establishes a group intercom channel based on the received optimal communication link, and carries out real-time transmission of group voice data through the group intercom channel; at the same time, according to the vehicle moving state, the communication parameters in the real-time transmission process are adaptively adjusted.

[0015] The technical effects and advantages of the wireless communication-based departmental terminal group intercom method and system are as follows: The application improves the adaptability of the communication system in a vehicle moving environment, enabling it to cope with high-speed driving, complex road conditions, and adverse weather challenges while maintaining stable communication status. By intelligently identifying core terminals and key connection channels, the stability of the network topology and communication reliability are greatly improved, reducing voice interruptions and signal losses and lowering communication failure rates. The dynamic spectrum allocation mechanism directly improves spectrum resource utilization efficiency while reducing channel interference and energy consumption, resulting in significant improvements in communication quality. The adaptive parameter adjustment algorithm enables the system to predictively respond to changes in vehicle position and speed, avoiding the communication quality degradation caused by the lagging response of traditional systems. In addition, the system can operate stably and efficiently in various road environments, unaffected by significant changes in terrain and environmental interference, maintaining consistent communication performance. The standby link mechanism reduces the communication operation burden on the driver and reduces the risk of distraction during driving. In terms of resource optimization, improved communication efficiency means lower battery consumption and higher device utilization, extending the device usage cycle. In the long term, the improvement in communication quality and the reduction in failure rates reduce maintenance requirements and improve fleet management efficiency and emergency response capabilities. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 A wireless communication-based departmental terminal group intercom method according to the present application is shown in the figure. Figure 2 A wireless communication-based departmental terminal group intercom system according to the present application is shown in the figure. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0018] Embodiment 1 Please refer to Figure 1 The wireless communication-based departmental terminal group intercom method according to the present embodiment includes the following steps: Step S1: Obtain departmental terminal data of the departmental terminal, and construct a corresponding initial group topology relationship network based on it. The departmental terminal data includes vehicle position information and network connection state information. Step S2: based on the initial group topology relationship network, resource optimization analysis is carried out to identify core terminals and key connection channels, and based on the identified core terminals and key connection channels, network optimization is carried out on the initial group topology relationship network to obtain a group communication structure network; Step S3: based on the group communication structure network, a dynamic spectrum allocation algorithm is used to allocate communication resources to each department terminal, calculate the best communication link between the department terminals, and issue it to each department terminal; Step S4: each department terminal establishes a group intercom channel based on the received best communication link, and transmits real-time voice data within the group through the group intercom channel; at the same time, the communication parameters in the real-time transmission process are adaptively adjusted according to the vehicle moving state; The application realizes efficient intercom communication by dynamically establishing the group topology structure of the department terminals in the vehicle fleet, improves the network resource utilization efficiency by using multi-dimensional data fusion analysis, optimizes the group communication structure based on node centrality and edge importance evaluation to enhance the system stability, ensures efficient use of spectrum resources in complex wireless environment by using a dynamic spectrum allocation algorithm, adapts to different communication scene requirements by using a multi-level network architecture design, ensures the communication quality during driving by using vehicle moving state perception technology, improves the reliability and fault tolerance of the system by using a backup communication link mechanism, optimizes the voice data transmission efficiency and quality by using coding technology, continuously optimizes the system performance by using a parameter adjustment feedback mechanism, and improves the adaptability of the system to environmental changes by using a communication parameter pre-adjustment based on mobile prediction; wherein the department terminal refers to a vehicle-mounted monitoring device mainly used for vehicle remote monitoring, positioning management, communication and data transmission; It should be further pointed out that in the specific implementation process, the specific implementation process of step S1 includes the following steps: Obtain the real-time geographic coordinate information of each department terminal through the satellite positioning terminal, and record the moving speed and direction data of the department terminal to form the vehicle position information; Use the network signal strength, available frequency band resources and network connection delay data of each department terminal to generate network connection state information; According to the geographic distance relationship and network connection state information between the department terminals, a connection possibility score table is constructed, and an undirected weighted graph is constructed according to the connection possibility score table; wherein each department terminal is regarded as a node in the undirected graph, and the communication feasibility between the department terminals is regarded as the weight of the edge, to obtain the initial group topology relationship network; In this embodiment, first, according to the satellite positioning terminal (such as GPS or Beidou positioning, etc.) integrated on each part terminal, the accurate geographic coordinates of each part terminal are obtained in real time, including longitude, latitude and altitude, etc.; and the instantaneous moving direction and moving speed of the part terminal are calculated by continuous sampling to form the vehicle position information containing position and running characteristics; at the same time, each part terminal performs network environment scanning through the built-in wireless communication device to measure the surrounding available wireless network signal strength (such as dBm value) and signal-to-noise ratio; scan and record the available frequency band resources and their occupation state in the current communication environment, and test the network connection delay (such as millisecond level round trip time) between other part terminals, collect these data to form the network connection state information; then, based on the obtained vehicle position information and network connection state information, the distance matrix and signal quality matrix between part terminals are calculated, and the connection possibility between each part terminal is comprehensively evaluated to form the connection possibility score table; according to the connection possibility score table, the undirected weighted graph is constructed, in which the node represents each part terminal and the edge weight represents the connection quality, the connection threshold is set and the effective connection edge is extracted to obtain the initial group topology relationship network; finally, the connectivity of the initial group topology relationship network is verified to ensure that all part terminals in the corresponding part group can communicate with each other through direct or indirect paths, providing basic data support for subsequent communication resource optimization and link planning, and reflecting the spatial distribution and network connection potential of each part terminal in the current vehicle group, laying the foundation for efficient group intercom system construction; in the construction process of the undirected weighted graph, the setting of the connection threshold is based on historical data analysis and real-time network condition dynamic adjustment to ensure that reasonable network topology structure can be obtained in different environments.

[0019] It needs to be further explained that in the specific implementation process, the construction process of the connection possibility score table includes: calculating the physical distance between each part of the terminal, forming a geographical distance matrix, wherein when calculating the corresponding geographical distance matrix between each part of the terminal, the spherical distance between different part terminals is obtained by adopting the Haversine formula combined with vehicle position information, and the influence of the curvature of the earth needs to be considered to obtain more accurate physical distance between vehicles; based on the network connection state information of each part of the terminal, the communication link quality between each part of the terminal is evaluated, and a signal quality matrix is formed, wherein for the signal quality matrix, the network connection state information such as signal strength (RSSI value) and signal-to-noise ratio (SNR) is comprehensively considered, and the comprehensive signal quality score is obtained based on weighted summation; the geographical distance matrix and the signal quality matrix between the part terminals are combined through a weighted fusion algorithm to generate the connection possibility score between the part terminals; the connection possibility score between the part terminals is organized in the form of a matrix to form a connection possibility score table; the construction of the connection possibility score table adopts a method combining distance attenuation model and signal propagation model to establish the mapping relationship between physical distance and signal quality, and considers the influence of the surrounding environment factors (such as building shielding, terrain undulation, etc.) of the vehicle on signal propagation; for example: first, the vehicle position information of each part of the terminal is used to calculate the physical distance between any two part terminals through geographical space calculation method (such as Haversine formula), and an N0×N0 geographical distance matrix between part terminals is generated, wherein N0 is the number of terminals; then, the surrounding signal environment data reported by each terminal is collected, including network connection state information such as received signal strength indicator (RSSI), signal-to-noise ratio (SNR) and delay, and the quality of the potential communication link between any two terminals is evaluated based thereon to generate an N0×N0 signal quality matrix; then, the geographical distance matrix and the signal quality matrix are combined by using a weighted fusion algorithm, and finally, the connection possibility scores between all pairs of part terminals are organized in the form of a matrix to form a connection possibility score table, which directly reflects the possibility of establishing effective communication connection between any two nodes in the network; wherein in the weighted fusion process, the weight coefficients corresponding to the respective geographical distance matrix and signal quality matrix can be dynamically adjusted according to the actual scene; for example: in open areas, the weight of the distance factor can be increased, and in complex urban environments, the weight of the signal quality factor can be increased.

[0020] It needs to be further explained that in the specific implementation process, the specific implementation process of step S2 includes the following steps: Perform node centrality analysis on the constructed initial group topology relationship network, obtain the connection degree, betweenness centrality and closeness centrality of each part of the terminal, and perform weighted summation to obtain a comprehensive centrality; mark the part terminal with a comprehensive centrality higher than a preset centrality threshold as a core terminal; perform edge importance evaluation on the corresponding initial group topology relationship network to obtain network traffic carrying capacity and communication stability index of each connection channel in the initial group topology relationship network; and filter the connection channels with network traffic carrying capacity and communication stability index greater than a preset threshold as key connection channels; perform network optimization on the initial group topology relationship network based on the core terminal and the key connection channels to obtain a group communication structure network; In this embodiment, a network adjacency matrix is ​​constructed based on the constructed initial group topology relationship network, and the matrix elements of the network adjacency matrix represent the direct connection relationship between different department terminals. Then, based on the network adjacency matrix, the number of direct connections between each department terminal and other department terminals is counted respectively to obtain the connectivity corresponding to the corresponding department terminal; and the shortest path algorithm is applied to obtain the shortest path between all node pairs in the initial group topology relationship network, and the betweenness centrality corresponding to each department terminal is obtained based on the shortest path; the average shortest path length from each terminal to all other terminals in the network is calculated to obtain the proximity centrality; further, the connectivity, betweenness centrality and proximity centrality obtained are weighted and summed. , and obtain the comprehensive centrality corresponding to the corresponding ministry standard terminal; specifically, construct a network adjacency matrix through the initial group topology network, and the matrix elements in the network adjacency matrix represent the direct connection relationship between each ministry standard terminal; calculate the connectivity of each ministry standard terminal (that is, the number of other terminals directly connected to the ministry standard terminal), which is used to reflect the direct communication capability and connection richness of the ministry standard terminal, calculate the betweenness centrality (that is, the number of shortest paths passing through the ministry standard terminal), which is used to reflect the "transit" importance of the ministry standard terminal in the entire network, and calculate the proximity centrality (that is, the inverse of the average shortest path length from the ministry standard terminal to all other ministry standard terminals), which is used to reflect the overall "closeness" of the ministry standard terminal to other ministry standard terminals in the group. For example: First, a network adjacency matrix A is constructed based on the initial group topology relationship network. The matrix element A[i,j] represents the connection status between the department terminal i and the department terminal j. If the two department terminals are directly connected, then A[i,j] is a non-zero value (usually the connection weight), otherwise it is 0; then, the connectivity of each department terminal is calculated. The connectivity is defined as CD(v)=d(v) / (N2-1), where d(v) is the number of edges directly connected to node v, and N2 is the total number of nodes in the initial group topology relationship network; then, the Dijkstra algorithm or the Floyd-Warshall algorithm is applied to calculate the distance between all node pairs in the initial group topology relationship network. The shortest paths and their lengths between nodes are used to form a shortest path set. Based on the shortest path set, the betweenness centrality of each terminal is calculated. The betweenness centrality CB(v) is defined as the ratio of the number of shortest paths passing through node v to the total number of shortest paths between all pairs of nodes in the network, quantifying the intermediary role of the node in the flow of network information. Then, the closeness centrality of each terminal is calculated. The closeness centrality CC(v) is defined as the inverse of the sum of the shortest path lengths from node v to all other nodes in the network, reflecting the "closeness" of the node to the rest of the network. Finally, these three types of centrality indicators are weighted and summed to facilitate comparison and comprehensive evaluation of the importance of each terminal in the network. All part label terminals are arranged in descending order according to the comprehensive center degree, and the part label terminals with the comprehensive center degree exceeding a preset center threshold value are selected and marked as core terminals. The core terminals usually have stronger connection ability and network center position, and are suitable for being the coordination nodes of group communication; Further, by considering factors such as bandwidth and channel quality, the network traffic bearing capacity of each connection edge (i.e. connection channel) in the corresponding initial group topology relationship network is analyzed, and the stability of the connection channel is evaluated to obtain a comprehensive value of indicators such as signal strength fluctuation and historical connection reliability, and form a communication stability index. According to the evaluation result, the threshold values of network traffic bearing capacity and communication stability index are set, the connection channels that meet the high bearing capacity and high stability (greater than the preset threshold value) at the same time are screened out, and these connection channels are marked as key connection channels. The key connection channels will undertake the main data transmission task in the optimized communication structure. Finally, based on the identified core terminals and key connection channels, the initial group topology relationship network is optimized and reconstructed to form an optimized group communication structure network with clearer hierarchy and more reasonable resource allocation. The group communication structure network can more effectively support the intercom communication in the group, and improve the communication efficiency and reliability. It needs to be further explained that in the specific implementation process, the specific implementation process of obtaining the group communication structure network by optimizing the initial group topology relationship network based on the core terminals and the key connection channels includes the following steps: A multi-level network architecture is constructed with the core terminals as the center, and the hierarchical positions of the part label terminals in the network architecture are determined; The bandwidth resources of the key connection channels are pre-allocated, and priority configurations are performed; Based on the multi-level network architecture and the priority configuration of the key connection channels, a group communication structure network is generated, which includes the priority connection relationship and the backup connection scheme between the part label terminals; In this embodiment, first, the identified core terminal is taken as the center point to construct a radial multi-level network architecture, the first level includes key terminals directly connected to the core terminal, the second level includes terminals connected to the terminals of the first level but not directly connected to the core terminal, and so on to construct a multi-level structure; analyze the network distance between each terminal and the core terminal (referring to the minimum number of routers required for connection between two nodes in the network, i.e. the measurement standard of the shortest path), communication quality and geographical location relationship and other factors, and allocate network level position to each terminal based on it, ensure that the level division considers both communication efficiency and network load balancing, then pre-allocate resources to the identified key connection channels, i.e. according to the importance and expected traffic of the key connection channels, reserve sufficient bandwidth resources, set higher quality of service (QoS) parameters, and improve the data transmission priority of the key connection channels, to ensure that the key connection channels can still maintain the necessary communication quality under network congestion, optimize the channel access parameters, reduce the transmission delay and collision probability of the key channel, then integrate the multi-level network architecture and the priority configuration of the key connection channels to generate a complete optimized group communication structure network, which clearly defines the connection relationship and priority between terminals, plans backup communication paths for each key connection channel, which can quickly switch when the main channel fails, enhances system resilience, and contains resource allocation scheme, routing strategy and terminal role definition in the group communication structure network, forming a comprehensive communication framework, and finally the optimized group communication structure network information is sent to each terminal, so that each terminal understands its position, role and available communication channels in the network, and continuously monitors and adjusts the model parameters according to the actual running situation to maintain the effectiveness and adaptability of the model. Through this network optimization method based on core terminal and key connection channel, an efficient and stable group communication structure network can be constructed under limited wireless resources, improving the communication quality and system reliability of the group intercom.

[0021] It should be further pointed out that in the specific implementation process, the specific implementation process of step S3 includes the following steps: Based on the network connection state information, a spectrum resource pool is constructed, and the network connection demand is matched with the available spectrum resources in combination with the group communication structure network to construct a spectrum allocation optimization problem; The corresponding spectrum allocation optimization problem is solved to obtain the final spectrum allocation scheme; Obtain the best communication link information between terminals, and send it to each terminal; In this embodiment, first, based on the available spectrum resources and their occupation state in the network connection state information, the available frequency bands and channel quality are identified to form a spectrum resource pool; based on the group communication structure network and the spectrum resource pool, the network connection demand is matched with the available spectrum resources to construct a spectrum allocation optimization problem; Solving the constructed spectrum allocation optimization problem, adjacent terminals are allocated frequency bands that do not interfere with each other; the specific process includes: modeling the group communication structure network as a conflict graph, where the conflict nodes in the conflict graph represent terminals, and the conflict edges represent potential interference relationships; sorting the conflict nodes according to priority, which is determined by the importance and communication demand of the terminal; starting from the node with the highest priority, allocating a frequency band that meets the constraint condition and has the minimum interference for each node; introducing a learning mechanism to adjust algorithm parameters according to historical allocation results and actual performance feedback; iteratively performing the spectrum allocation process until the convergence condition is reached or the maximum number of iterations is reached, and outputting the final spectrum allocation scheme; for example: first, construct a conflict graph G=(V,E), where V represents the terminal set and E represents the interference relationship set. If the distance between two terminals is less than the preset interference distance threshold, or historical communication data shows that there is interference between them, a conflict edge is added in the conflict graph to connect the two conflict nodes; then, the node priority score is calculated according to the terminal importance (such as the centrality analysis result obtained from step S2) and the communication demand (such as the amount of data waiting to be transmitted in the queue, the quality of service requirement, etc.), and the nodes are sorted in descending order of the score. Next, starting from the node with the highest priority, an improved greedy coloring strategy is used to allocate a frequency band for each node. For the current node, the interference degree of all available frequency bands is evaluated, and the frequency band with the minimum interference is selected for allocation. When the network density is high or the spectrum resource is limited, the graph coloring algorithm may not be able to meet the "adjacent nodes use different colors" hard constraint in the coloring process. By introducing a soft constraint mechanism, a certain degree of interference is allowed, but the interference is controlled within an acceptable range through interference control strategies (such as power control, time division multiplexing, etc.). At the same time, a learning mechanism based on Q-learning is introduced, and the system records the results and actual communication quality of each spectrum allocation, and adjusts the algorithm parameters such as node priority calculation weight and interference evaluation threshold through a reward function. Finally, the algorithm is repeatedly iterated until the quality score of the spectrum allocation scheme no longer improves significantly, or the maximum number of iterations is reached, and the final spectrum allocation scheme is output.

[0022] Further, by considering terminal mobility and communication demand, a certain amount of spectrum resources are reserved for dynamic adjustment; by considering link quality, delay and reliability, the best communication link between each pair of terminals is obtained; the spectrum allocation result and the best communication link information are packaged into control instructions and distributed to each terminal, providing configuration basis for actual communication establishment.

[0023] It should be noted that during the formation of the spectrum resource pool, the available frequency band resources and their occupation states in the current communication environment need to be recorded regularly; The construction of the conflict graph takes into account the physical distance between terminals, frequency reuse interference model and historical communication quality records to accurately describe potential interference relationships; Node prioritization uses a multi-factor comprehensive scoring mechanism that takes into account terminal type (e.g., command vehicle, general operation vehicle), mission importance, communication urgency, and network topology. A soft constraint mechanism uses pre-established interference tolerance to allow for appropriate relaxation of interference isolation requirements when spectrum resources are limited, thereby improving spectrum utilization efficiency. It should be further explained that, in the specific implementation process, the specific implementation process of obtaining the best communication link information between the departmental standard terminals includes the following steps: Obtain all communication paths between terminals of each department based on the group communication structure network; Evaluate the communication quality of each communication path and calculate a comprehensive communication quality index including end-to-end delay, packet loss rate, and link stability; Sort all communication paths according to the comprehensive communication quality index, and select the path with the highest comprehensive communication quality index as the primary communication link, and the path with the second highest comprehensive communication quality index as the backup communication link; The routing information of the primary communication link and the backup communication link are combined into optimal communication link information.

[0024] In this embodiment, first, based on the group communication structure network, a network routing graph is constructed, and a path search algorithm (such as Dijkstra algorithm, Floyd-Warshall algorithm, etc.) is applied to calculate all possible communication paths between any two department terminal groups in the department terminal group, considering the multi-hop communication scenario, calculating the direct communication and indirect communication (through relay terminal) of various communication path combinations, generating a complete communication path set, then performing comprehensive quality evaluation on each communication path, measuring or estimating the end-to-end communication delay, including transmission delay, processing delay and queuing delay, etc., calculating the expected packet loss rate of the communication path, and predicting based on historical data and current network conditions, and by considering factors such as signal strength fluctuations, mobility of path nodes, etc. The stability index of the link is evaluated, these parameters are comprehensively calculated to form a standardized comprehensive communication quality index, which comprehensively reflects the communication performance of the corresponding communication path, then all communication paths are arranged in descending order according to the comprehensive communication quality index, for each pair of department terminals that need to communicate, the communication path with the highest comprehensive communication quality index is selected as the main communication link, which will undertake the main data transmission task, and the path with the second highest comprehensive communication quality index is selected as the standby communication link, when the main communication link performance decreases or fails (for example: the main communication link signal-to-noise ratio is lower than 8dB, the packet loss rate is more than 5% or the end-to-end delay suddenly increases by 50%, the failure warning is triggered), it can be quickly switched to the standby communication link to ensure the continuity of communication, and finally the complete best communication link information package is generated for each pair of communication terminals, including the detailed routing information of the main communication link and the standby communication link, such as relay node sequence, frequency band selection, transmission parameters, etc. The best communication link information package is packaged and distributed to each relevant department terminal to ensure that each terminal understands its role and task in the communication process, including the specific operation parameters as the sender, receiver or relay node. Through this link optimization method based on quality evaluation, the optimal communication link can be established in the dynamically changing vehicle-mounted network environment, and the quality and reliability of the group intercom are improved. Especially in the case of high-speed vehicle movement or complex network conditions, the standby link mechanism can significantly enhance the anti-interference ability and fault tolerance of the system.

[0025] It should be further pointed out that in the specific implementation process, the specific implementation process of step S4 includes the following steps: Each department terminal receives and parses the best communication link information distributed, and initializes the group intercom channel based on its configuration, including frequency band selection, coding scheme and transmission protocol setting; Based on the pre-set voice acquisition unit, the real-time voice data of the department terminal user is obtained, and after digital processing and coding compression, the voice data transmission is carried out through the established group intercom channel; In the process of voice data transmission, each terminal monitors the vehicle moving state and network environment changes in real time, and dynamically adjusts the communication parameters in the process of voice data transmission combined with the adaptive parameter adjustment algorithm; In this embodiment, first, each terminal configures the corresponding wireless communication module parameters according to the allocated optimal communication link information, including the working frequency (such as 350MHz, 400MHz or 800MHz dedicated frequency band), the transmission power, the modulation mode and the coding format; At the same time, the voice data compression rate (such as 2.45kbps to 9.6kbps of AMBE+2 algorithm) and QoS priority are set to complete the initial establishment of the group intercom channel; Subsequently, the terminal acquires the user's voice signal through the built-in voice acquisition unit (such as a microphone array), reduces the environmental noise interference through digital filtering processing, and adopts professional intercom encoding and decoding algorithm (such as AMBE series, ACELP or Opus, etc.) for real-time compression to form a voice data packet; The compressed voice data packet is encapsulated according to the preset communication protocol (such as P25, DMR or self-defined protocol), and broadcasted to the target terminal in the department group through the established group intercom channel; At the same time, each terminal continuously monitors the vehicle speed, direction change and signal quality change of the surrounding wireless environment to form a vehicle moving state evaluation report; According to the vehicle moving state evaluation report, the adaptive parameter adjustment algorithm is used to optimize the key parameters in the communication process in real time, for example: in the high-speed moving scene, the data transmission rate is appropriately reduced and the forward error correction coding strength is enhanced to cope with the signal distortion caused by the Doppler effect; In the signal decay area, the transmission power is automatically increased and the lower frequency band is switched to enhance the signal penetration ability; In the network congestion condition, priority queue management and data packet fragmentation technology are applied to ensure the priority transmission of key voice information; In addition, the application also realizes the dynamic balance mechanism between voice quality and network resource consumption, which increases the voice sampling rate and coding quality when the network condition is good, and reduces the audio bit rate to ensure the communication continuity when the network condition is deteriorated; Finally, through the integrated network state prediction model, based on historical data and current trend, the communication parameters are adjusted in advance to cope with the upcoming network environment changes, so as to realize the seamless connection and smooth transition of voice data transmission; Wherein, the adaptive parameter adjustment adopts the fuzzy logic controller combined with the neural network learning ability, which can continuously optimize the parameter adjustment strategy according to the actual application scene; The network state prediction model refers to a prediction model based on historical communication data and real-time network state analysis to predict the network environment changes in the short term in the future, which takes the convolutional neural network as the backbone network, and its specific training process is the prior art, which will not be described in detail in this application; It should be noted that the required spectrum resources of the adjusted communication parameters should not exceed the reserved spectrum resources during the corresponding communication parameter adjustment process, if the reserved spectrum resources are exceeded, the spectrum resource allocation needs to be re-performed; It needs to be further explained that in the specific implementation process, the specific execution process of the adaptive parameter adjustment algorithm includes: based on the speed and direction data in the vehicle position information, a relative movement state matrix is calculated, which is a matrix structure representing the relative motion characteristics between any two departmental terminals in the departmental terminal group intercom process, used to accurately evaluate the influence of the relative motion between departmental terminals on the wireless communication quality, especially the frequency offset and channel time-varying characteristics caused by the Doppler effect; based on the relative movement state matrix, the potential influence degree of the Doppler effect on signal transmission is evaluated; at the same time, the current channel quality indicators are collected and analyzed in real time, including signal-to-noise ratio (SNR), bit error rate (BER) and channel capacity and other key parameters; according to the relative movement state matrix and the channel quality indicators, a communication parameter adjustment scheme is generated through a pre-set parameter mapping model; the communication parameter adjustment scheme is applied to the real-time transmission process, and the adjustment effect is continuously evaluated to form a closed-loop optimization mechanism; for example: first, the relative speed and angle between any two departmental terminals are calculated based on the vehicle position information of each departmental terminal, a relative movement state matrix is constructed, and the Doppler frequency shift and time-varying channel characteristics caused thereby are evaluated; then, each terminal continuously measures the signal quality of the real-time communication link, including received signal strength (RSSI), signal-to-noise ratio (SNR), packet error rate and end-to-end delay and other indicators, to form a real-time channel quality evaluation report; then, the relative movement state data and the channel quality data are input into the pre-trained parameter mapping model, which adopts a fuzzy rule base combined with an adaptive neural network architecture, and can deduce the optimal parameter adjustment strategy according to complex input conditions; finally, based on the output results of the parameter mapping model, key communication parameters such as modulation mode (reduced from 64QAM to QPSK to improve anti-interference capability), coding rate (increase redundancy to cope with high error environment), transmission power and data packet size are dynamically adjusted; the whole adjustment process continuously runs based on the closed-loop feedback mechanism, continuously evaluates the communication quality improvement degree after parameter adjustment, and adjusts the subsequent parameter change strategy accordingly; wherein the parameter mapping model establishes the mapping relationship between the network environment state and the optimal communication parameter configuration; the parameter mapping model receives the relative movement state matrix and the real-time channel quality indicators as input, and outputs the best communication parameter combination for the current network environment, realizing the automatic conversion from network state perception to parameter optimization decision; it needs to be explained that the training of the parameter mapping model adopts a method combining historical communication data and real-time feedback, so that it can adapt to different road environments and network conditions, such as the best communication parameter combination in different scenes such as expressway, urban road or mountainous area; its specific construction process is the prior art, and this application will not be described in detail.

[0026] Embodiment 2 Please refer to Figure 2As shown, for the parts not described in detail in this embodiment, please refer to the description of Example 1. A departmental terminal group intercom system based on wireless communication is provided, including: A topology building module is used to obtain the department-standard terminal data of the department-standard terminal and build a corresponding initial group topology relationship network based on it. The department-standard terminal data includes vehicle location information and network connection status information; Topology optimization module: performs resource optimization analysis based on the initial group topology relationship network, identifies core terminals and key connection channels, and optimizes the initial group topology relationship network based on the identified core terminals and key connection channels to obtain a group communication structure network; Resource allocation module: Based on the group communication structure network, it uses a dynamic spectrum allocation algorithm to allocate communication resources to each department standard terminal, calculates the optimal communication link between department standard terminals, and sends it to each department standard terminal; Execution feedback module: Each department terminal establishes a group intercom channel based on the received optimal communication link, and transmits voice data within the group in real time through the group intercom channel; at the same time, the communication parameters in the real-time transmission process are adaptively adjusted according to the vehicle's movement status.

[0027] The modules are connected via wired and / or wireless means to achieve data transmission between modules.

[0028] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein with equivalents. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

[0029] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0030] In the description of the present invention, it should be understood that the terms "first", "second", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0031] In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0032] In the description of the present application, the meaning of "several" is one or more, and the meaning of "a large number" is two or more.

[0033] In the description of the present application, the description of the terms "one embodiment", "several embodiments", "example", "specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0034] For the formulas in the present specification, the values are calculated by de-dimensioning, the formulas are obtained by software simulation of a large amount of data to obtain a formula closest to the real situation, and the preset parameters and threshold values in the formulas are set by a person skilled in the art according to the actual situation.

[0035] Although the embodiments of the present application have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the claims and their equivalents.

Claims

1. A method for intercom between departmental terminals based on wireless communication, characterized in that: include: Step S1: Acquire departmental terminal data of departmental terminal and construct a corresponding initial group topology relationship network based on the departmental terminal data, wherein the departmental terminal data includes vehicle location information and network connection status information; Step S2: performing resource optimization analysis based on the initial group topology relationship network, identifying core terminals and key connection channels, and performing network optimization on the initial group topology relationship network based on the identified core terminals and key connection channels to obtain a group communication structure network; Step S3: Based on the group communication structure network, a dynamic spectrum allocation algorithm is used to allocate communication resources to each department standard terminal, and the optimal communication link between the department standard terminals is calculated and sent to each department standard terminal; Step S4: Each department terminal establishes a group intercom channel based on the received optimal communication link, and transmits the voice data in the group in real time through the group intercom channel; at the same time, the communication parameters in the real-time transmission process are adaptively adjusted according to the vehicle movement status.

2. The method for intercom between department terminals based on wireless communication according to claim 1, characterized in that: The implementation process of step S1 includes: Obtain the real-time geographic coordinate information of each department terminal through the satellite positioning terminal, and record the moving speed and direction data of the department terminal to form the vehicle location information; Generate network connection status information using network signal strength, available frequency resources, and network connection delay data from each standard terminal; A connection possibility score table is constructed based on the geographical distance relationship and network indirect status information between each departmental terminal, and an undirected weighted graph is constructed based on the connection possibility score table. In this table, each departmental terminal is used as a node in the undirected graph, and the communication feasibility between the departmental terminals is used as the weight of the edge to obtain the initial group topology relationship network.

3. The method for intercom between department terminals based on wireless communication according to claim 2, characterized in that: The process of constructing the connection likelihood score table includes: Calculate the physical distance between terminals of each department and form a geographical distance matrix; Based on the network connection status information of each departmental standard terminal, the communication link quality between each departmental standard terminal is evaluated to form a signal quality matrix; The geographic distance matrix and signal quality matrix between the departmental terminals are combined through a weighted fusion algorithm to generate a connection possibility score between the departmental terminals; the connection possibility score between the departmental terminals is organized into a matrix form to form a connection possibility score table.

4. The method for intercom between departmental terminals based on wireless communication according to claim 2, characterized in that: The implementation process of step S2 includes: Perform node centrality analysis on the constructed initial group topology relationship network to obtain the connectivity, betweenness centrality, and closeness centrality of each department-marked terminal, and perform weighted summation to obtain the comprehensive centrality; department-marked terminals with a comprehensive centrality higher than the preset centrality threshold are marked as core terminals; Perform edge importance assessment on the corresponding initial group topology relationship network to obtain the network traffic carrying capacity and communication stability index of each connection channel in the initial group topology relationship network; and select connection channels whose network traffic carrying capacity and communication stability index are both greater than the preset threshold as key connection channels; The initial group topology relationship network is optimized based on core terminals and key connection channels to obtain a group communication structure network.

5. The method for intercom between department terminals based on wireless communication according to claim 4, characterized in that: The specific implementation process of optimizing the initial group topology relationship network based on core terminals and key connection channels to obtain the group communication structure network includes the following steps: Construct a multi-level network architecture with the core terminal as the center, and determine the hierarchical position of each department terminal in the network architecture; Pre-allocating bandwidth resources for the key connection channels and configuring their priorities; Based on the multi-level network architecture and the priority configuration of the key connection channels, a group communication structure network is generated, and the group communication structure network includes priority connection relationships and backup connection solutions between departmental terminals.

6. The method for intercom between department terminals based on wireless communication according to claim 5, characterized in that: The specific implementation process of step S3 includes the following steps: Build a spectrum resource pool based on network connection status information, and combine the group communication structure network to match network connection requirements with available spectrum resources to construct a spectrum allocation optimization problem; Solve the corresponding spectrum allocation optimization problem to obtain the final spectrum allocation solution; Obtain the best communication link information between departmental standard terminals and send it to each departmental standard terminal.

7. The method for intercom between department terminals based on wireless communication according to claim 5, characterized in that: The specific implementation process of obtaining the optimal communication link information between departmental standard terminals includes the following steps: Obtain all communication paths between terminals of each department based on the group communication structure network; Evaluate the communication quality of each communication path and calculate a comprehensive communication quality index including end-to-end delay, packet loss rate, and link stability; sorting all communication paths according to the comprehensive communication quality index, and selecting the path with the highest comprehensive communication quality index as the primary communication link, and selecting the path with the second highest comprehensive communication quality index as the backup communication link; The routing information of the primary communication link and the backup communication link are combined into optimal communication link information.

8. The method for intercom between department terminals based on wireless communication according to claim 5, characterized in that: The specific implementation process of step S4 includes the following steps: Each terminal receives and analyzes the best communication link information issued, and initializes the group intercom channel based on its configuration, including frequency band selection, coding scheme and transmission protocol settings; The pre-set voice acquisition unit acquires the real-time voice data of the terminal users, and after digital processing and coding compression, transmits the voice data through the established group intercom channel; During the voice data transmission process, each department terminal monitors the vehicle movement status and network environment changes in real time, and dynamically adjusts the communication parameters during the voice data transmission process in combination with the adaptive parameter adjustment algorithm.

9. The method for intercom between department terminals based on wireless communication according to claim 8, characterized in that: The specific execution process of the adaptive parameter adjustment algorithm includes: Based on the speed and direction data in the vehicle's position information, the relative motion state matrix is ​​calculated. Based on the relative motion state matrix, the potential impact of the Doppler effect on signal transmission is evaluated. At the same time, the current channel quality indicators are collected and analyzed in real time. According to the relative mobility state matrix and the channel quality index, a communication parameter adjustment scheme is generated through a preset parameter mapping model; the communication parameter adjustment scheme is applied to the real-time transmission process, and the adjustment effect is continuously evaluated to form a closed-loop optimization mechanism.

10. A departmental terminal group intercom system based on wireless communication, which is used to implement the departmental terminal group intercom method based on wireless communication according to any one of claims 1 to 9, characterized in that: include: Topology building blocks; Used to obtain the department-standard terminal data of the department-standard terminal and build a corresponding initial group topology relationship network based on it, wherein the department-standard terminal data includes vehicle location information and network connection status information; Topology Optimization Module; Perform resource optimization analysis based on the initial group topology relationship network, identify core terminals and key connection channels, and optimize the initial group topology relationship network based on the identified core terminals and key connection channels to obtain a group communication structure network; Resource allocation module: Based on the group communication structure network, it uses a dynamic spectrum allocation algorithm to allocate communication resources to each department standard terminal, calculates the optimal communication link between department standard terminals, and sends it to each department standard terminal; Execution feedback module: Each department terminal establishes a group intercom channel based on the received optimal communication link, and transmits voice data within the group in real time through the group intercom channel; at the same time, the communication parameters in the real-time transmission process are adaptively adjusted according to the vehicle's movement status.

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