Wireless networking control method and system of interphone integrated with relay function

Abstract

The invention discloses a wireless networking control method and system of an interphone integrated with a relay function, and relates to the technical field of networking control, and the method comprises the steps: carrying out the wireless signal scanning through the interphone integrated with the relay function, and constructing an equipment discovery list; self-adaptive networking is carried out to construct a wireless Mesh network; traversing the plurality of network nodes to carry out relay evaluation and determine a plurality of relay nodes, and connecting and constructing a plurality of relay paths; and carrying out data transmission monitoring according to the plurality of relay paths, obtaining real-time network performance parameters, feeding back the real-time network performance parameters to the plurality of relay paths for dynamic adjustment, and carrying out optimization control on wireless networking of the interphone integrated with the relay function. The technical problems of limited network coverage, poor reliability and low communication efficiency caused by difficulty in intelligently selecting relay nodes and optimizing relay paths in a dynamic environment in interphone networking in the prior art are solved, and the technical effects of expanding communication coverage, improving communication efficiency and realizing dynamic optimization of network resources are achieved.

Description

Technical Field

[0001] This application relates to the technical field of network control, specifically to a wireless network control method and system for a walkie-talkie with integrated relay function. Background Technology

[0002] Walkie-talkies, as important instant communication tools, are widely used in emergency command, public safety, industrial production, and outdoor operations. Traditional walkie-talkie communication often adopts point-to-point or star-topology networking based on fixed base stations, which has limited coverage and is prone to communication blind spots in complex environments such as densely built-up areas, mountainous areas, or disaster sites. Therefore, relay technology has been introduced into walkie-talkie systems to achieve cross-regional communication through signal forwarding and extend communication distance. However, existing relay solutions rely on pre-set relay stations or fixed infrastructure, lacking flexibility and struggling to adapt to dynamically changing communication environments. Mesh networks achieve interconnection between devices through multi-hop relays, possessing advantages such as self-organization, self-healing, and high scalability. They can build dynamic and reliable communication links without relying on central infrastructure. However, in currently dynamically constructed mesh networks, it is difficult to adaptively adjust based on real-time network conditions such as signal strength, node load, and link quality, leading to decreased network performance, increased transmission latency, or uneven energy consumption. This impacts the urgent need for high reliability and flexibility in modern emergency communication and mobile collaboration scenarios.

[0003] Therefore, current technologies suffer from the technical problem that walkie-talkie networks struggle to intelligently select relay nodes and optimize relay paths in dynamic environments, resulting in limited network coverage, poor reliability, and low communication efficiency. Summary of the Invention

[0004] This application provides a wireless networking control method and system for walkie-talkies with integrated relay function, which solves the technical problems in the prior art where walkie-talkie networking is difficult to intelligently select relay nodes and optimize relay paths in dynamic environments, resulting in limited network coverage, poor reliability and low communication efficiency. It achieves the technical effects of expanding communication coverage, improving communication efficiency and realizing dynamic optimization of network resources.

[0005] This application provides a wireless networking control method for a walkie-talkie with integrated repeater functionality. The method includes: scanning wireless signals using the walkie-talkie with integrated repeater functionality to discover N walkie-talkie devices and constructing a device discovery list, where N is a positive integer greater than 0; performing adaptive networking based on the device discovery list to construct a wireless mesh network, the wireless mesh network including a network topology; traversing multiple network nodes based on the network topology to perform repeater evaluation, determining multiple repeater nodes based on the evaluation results, connecting the multiple repeater nodes back to the network topology to construct multiple repeater paths; monitoring data transmission based on the wireless mesh network according to the multiple repeater paths to obtain real-time network performance parameters, dynamically adjusting the multiple repeater paths based on the real-time network performance parameters, and optimizing the wireless networking control of the walkie-talkie with integrated repeater functionality based on the adjustment results.

[0006] In a possible implementation, the wireless networking control method for a walkie-talkie with integrated repeater function further performs the following processing: Based on the integrated repeater function walkie-talkie, control analysis is performed to determine the master walkie-talkie; the networking mode of the master walkie-talkie is activated, and the wireless communication unit is initialized according to the networking mode, setting a scanning frequency band set; the wireless communication unit scans wireless signals according to the scanning frequency band set, capturing M beacon signals, where M is a positive integer greater than or equal to N; based on the M beacon signals, M signal strength data are obtained, and the signal quality of the M beacon signals is evaluated to generate M signal quality scores; based on the M signal quality scores, the M beacon signals are filtered to determine N walkie-talkie devices; the N walkie-talkie devices are subjected to two-way authentication, and when authentication is successful, the device discovery list is constructed.

[0007] In a possible implementation, the wireless networking control method for an integrated relay walkie-talkie further performs the following processing: generating a frequency hopping sequence based on the wireless communication unit according to the scanning frequency band set; analyzing the dwell time of multiple frequency points based on the wireless communication unit and setting a scanning time window; performing a full-frequency traversal scan of multiple frequency points according to the scanning time window based on the frequency hopping sequence to generate a first round of scanning results; randomly capturing backoff interval data; starting a second round of scanning based on the backoff interval data according to the scanning cycle; iterating until all scans within the scanning time window are completed and stopping, thereby capturing the M beacon signals.

[0008] In a possible implementation, the wireless networking control method for a walkie-talkie with integrated relay function further performs the following processing: Based on the device discovery list, analyze the device capabilities of N walkie-talkies to obtain N device capability information; introduce a Mesh networking protocol, and according to the N device capability information, traverse the device discovery list according to the Mesh networking protocol to filter and determine a subset of candidate devices; associate the master walkie-talkie with the subset of candidate devices to establish an initial neighbor relationship; perform a full network exchange on the device discovery list based on the initial neighbor relationship to obtain a global network view, which includes the network topology; retrieve network connection parameters, and calculate link weights for multiple nodes using the global network view and the network connection parameters to obtain link connection weights; based on the link connection weights, perform distributed selection according to the network topology to construct the wireless Mesh network.

[0009] In a possible implementation, the wireless networking control method for a walkie-talkie with integrated relay function further performs the following processing: based on the master control walkie-talkie sending a neighbor invitation message to the subset of candidate devices, determining the i-th candidate device, wherein the i-th candidate device is any candidate device within the subset of candidate devices; the i-th candidate device receives the neighbor invitation message, verifies the data, and generates a neighbor confirmation message; replies to the master control walkie-talkie with the neighbor confirmation message; when the master control walkie-talkie receives the neighbor confirmation message, an initial neighbor relationship is established between the master control walkie-talkie and the i-th candidate device.

[0010] In a possible implementation, the wireless networking control method for a walkie-talkie with integrated relay function further performs the following processing: performing static analysis by traversing multiple network nodes based on the network topology to obtain node static capability parameters; performing dynamic analysis by traversing multiple network nodes based on the network topology to obtain node dynamic performance parameters; performing betweenness center analysis by traversing multiple network nodes based on the network topology to determine the topological positions of multiple nodes; performing relay evaluation on multiple network nodes according to the topological positions of the multiple nodes combined with the node static capability parameters and the node dynamic performance parameters to generate relay evaluation scores for multiple network nodes; and adding the relay evaluation scores to the evaluation result.

[0011] In a possible implementation, the wireless networking control method for a walkie-talkie with integrated relay function further performs the following processing: performing network impact analysis on the multiple network nodes based on their topological locations to determine the location impact coefficients of the multiple node topological locations; filtering the multiple network nodes based on the relay evaluation score and the location impact coefficients to determine multiple candidate relay nodes; matching the multiple candidate relay nodes with their topological locations to determine multiple node locations, where the multiple node locations correspond to the multiple candidate relay nodes, and the multiple node locations include network core hub locations, local area center locations, and other locations; setting the candidate relay nodes at the network core hub locations as core relay nodes, the candidate relay nodes at the local area center locations as regional relay nodes, and the candidate relay nodes at the other locations as backup relay nodes; and performing path calculations by tracing back the core relay nodes, regional relay nodes, and backup relay nodes to the network topology to construct the multiple relay paths.

[0012] In a possible implementation, the wireless networking control method for a walkie-talkie with integrated relay function further performs the following processing: setting a dynamic scoring threshold based on the historical relay evaluation score of the walkie-talkie with integrated relay function, and determining whether the relay evaluation score is higher than the dynamic scoring threshold; when the relay evaluation score is higher than the dynamic scoring threshold, extracting target network nodes, performing a position distribution balance check based on the position influence coefficient of the target network nodes, and generating a balance coefficient; setting a blank preliminary candidate pool, and if the balance coefficient is within the expected balance range, including the target network node in the preliminary candidate pool to determine the candidate relay node.

[0013] In a possible implementation, the wireless networking control method for a walkie-talkie with integrated relay function further performs the following processes: actively probing along the multiple relay paths based on the wireless mesh network to generate data transmission detection results; passively monitoring along the multiple relay paths based on the wireless mesh network to generate data transmission monitoring results; encapsulating the data transmission detection results and the data transmission monitoring results, performing network analysis based on the encapsulated data to obtain raw link performance data; performing clear clustering processing on the raw link performance data to generate real-time network performance parameters; feeding back the real-time network performance parameters to the multiple relay paths for anomaly detection to obtain performance anomaly detection parameters; performing evolution prediction based on the anomaly detection parameters to generate an anomaly prediction trend map, mapping the anomaly prediction trend map to the multiple relay paths for path adjustment, and generating adjustment results.

[0014] This application also provides a wireless networking control system for walkie-talkies with integrated repeater functionality. The system includes: a device list construction module, used to scan wireless signals using the walkie-talkies with integrated repeater functionality, discover N walkie-talkie devices, and construct a device discovery list, where N is a positive integer greater than 0; an adaptive networking module, used to perform adaptive networking based on the device discovery list, constructing a wireless mesh network, the wireless mesh network including a network topology; a repeater path construction module, used to traverse multiple network nodes based on the network topology to perform repeater evaluation, determine multiple repeater nodes based on the evaluation results, connect the multiple repeater nodes back to the network topology, and construct multiple repeater paths; and a path dynamic adjustment module, used to monitor data transmission according to the multiple repeater paths based on the wireless mesh network, obtain real-time network performance parameters, feed back the real-time network performance parameters to the multiple repeater paths for dynamic adjustment, and optimize the wireless networking of the walkie-talkies with integrated repeater functionality based on the adjustment results.

[0015] This application proposes a wireless networking control method and system for walkie-talkies with integrated repeater functionality. The method involves the walkie-talkie scanning wireless signals to build a device discovery list; adaptively constructing a wireless mesh network; evaluating and identifying multiple repeater nodes across multiple network nodes, and connecting them to build multiple repeater paths; monitoring data transmission along these paths to obtain real-time network performance parameters, which are then fed back to the repeater paths for dynamic adjustment, thus optimizing the wireless networking of the walkie-talkie with integrated repeater functionality. This method solves the technical problems in existing technologies where walkie-talkie networking struggles to intelligently select repeater nodes and optimize repeater paths in dynamic environments, resulting in limited network coverage, poor reliability, and low communication efficiency. It achieves the technical effects of expanding communication coverage, improving communication efficiency, and dynamically optimizing network resources. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0017] Figure 1 This is a schematic flowchart of a wireless networking control method for a walkie-talkie with integrated relay function, provided in an embodiment of this application.

[0018] Figure 2This is a schematic diagram of a wireless networking control system for a walkie-talkie with integrated relay function, provided as an embodiment of this application.

[0019] Figure labeling: Topology graph construction module 10, incremental coding recognition module 20, structured interaction module 30, anomaly detection and recognition module 40. Detailed Implementation

[0020] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" can be the same or different subsets of all possible embodiments and can be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0023] This application provides a wireless networking control method for a walkie-talkie with integrated relay function, such as... Figure 1 As shown, the method includes: Step S100: Scan the wireless signal using a walkie-talkie with integrated repeater function to discover N walkie-talkie devices and build a device discovery list, where N is a positive integer greater than 0.

[0024] Step S100 further includes step S110, performing control analysis based on the integrated repeater walkie-talkie to determine the master walkie-talkie; step S120, activating the networking mode of the master walkie-talkie, initializing the wireless communication unit according to the networking mode, and setting the scanning frequency band set; step S130, using the wireless communication unit to scan wireless signals according to the scanning frequency band set, capturing M beacon signals, where M is a positive integer greater than or equal to N; step S140, parsing the M beacon signals to obtain M signal strength data, evaluating the signal quality of the M beacon signals, and generating M signal quality scores; step S150, filtering the M beacon signals based on the M signal quality scores to determine N walkie-talkie devices; and step S160, performing two-way authentication on the N walkie-talkie devices, and constructing the device discovery list when authentication is successful.

[0025] Preferably, the wireless communication unit of the main control walkie-talkie, such as DMR or LoRa, which integrates relay and network control functions, enters the network discovery mode. The walkie-talkie's radio frequency receiving circuit and baseband processing unit operate on a preset set of scanning frequency bands to scan for wireless signals and discover N walkie-talkie devices. Here, the walkie-talkie with integrated relay function refers to the walkie-talkie's role as a "terminal" and "repeater" being merged. Through software control, it can dynamically and intelligently switch between or execute in parallel between the two modes according to network instructions to expand network coverage and improve reliability. N is a positive integer greater than 0. In the terminal mode, the walkie-talkie's basic function is to act as the starting or ending point of communication for direct voice or data transmission between users. The walkie-talkie mainly transmits and receives signals. In the relay mode, the walkie-talkie becomes an automatic signal relay station. The walkie-talkie receives the signal from the source device and retransmits it on another channel with full power and signal quality so that target devices far outside the communication range of the source device can receive the signal.

[0026] Preferably, control analysis is performed on the integrated repeater walkie-talkie based on predefined rules to determine the temporary control node as the master walkie-talkie output, which is used to perform all discovery and networking control tasks. The predefined rules may be that the user specifies a walkie-talkie to be set as the master control mode, or all devices with networking function enabled automatically compete for the master control walkie-talkie based on hardware capabilities, battery power, or signal strength. Then, the master control walkie-talkie is switched from walkie-talkie mode to networking mode and its parameters are configured, including initializing the wireless communication unit, that is, resetting its radio frequency chip and configuring it to the working state such as power and sensitivity suitable for scanning and discovery, and then setting the scanning frequency band set, such as the predetermined frequency band list as [430MHz, 432MHz, 435MHz].

[0027] Preferably, wireless signal scanning is performed via a wireless communication unit. The radio frequency receiver of the main control walkie-talkie traverses and listens across the scanning frequency band set, capturing all beacon signals conforming to a specific format. These beacon signals are short data packets periodically broadcast by other walkie-talkies supporting network connectivity. Their content typically contains basic identification information of the device, resulting in M ​​beacon signals. Since the same walkie-talkie may be scanned multiple times at different times and frequencies, or some signals may originate from devices that do not meet network connectivity requirements, M is a positive integer greater than or equal to N, representing the total number of signal frames received by the main control walkie-talkie during the scanning period. The M beacon signals are then parsed to extract data content and physical parameters. The signal strength data for each beacon signal is read to measure the received radio frequency power. Combined with the signal-to-noise ratio and bit error rate, the signal quality of the M beacon signals is evaluated, generating M signal quality scores to characterize the communication quality of the link.

[0028] Preferably, M beacon signals are filtered based on M signal quality scores, with a quality threshold set. Specifically, a minimum threshold for signal quality scores is set, and any beacon signal with a score below the minimum threshold is discarded to screen qualified walkie-talkie devices. Then, the device IDs parsed from the filtered beacon signals are categorized, and multiple beacon signals from the same device ID are merged to confirm the identified walkie-talkie devices, ultimately identifying N walkie-talkie devices. Next, two-way authentication is performed on the N walkie-talkie devices, establishing a logically secure trust relationship. Specifically, the master walkie-talkie and each selected walkie-talkie perform a cryptographic handshake protocol. For example, the master walkie-talkie sends an authentication challenge to the target device, the target device signs and replies using a shared key, the master walkie-talkie verifies the signature, and the target device verifies the identity of the master walkie-talkie. Successful completion indicates trusted authentication. Finally, all authenticated device information is compiled into a structured device discovery list.

[0029] Furthermore, step S130 also includes step S131, generating a frequency hopping sequence based on the wireless communication unit according to the scanning frequency band set; step S132, analyzing the dwell time of multiple frequency points based on the wireless communication unit and setting a scanning time window; step S133, performing a full-frequency traversal scan of multiple frequency points according to the scanning time window based on the frequency hopping sequence to generate the first round of scanning results; step S134, randomly capturing backoff interval data, starting the second round of scanning according to the scanning cycle based on the backoff interval data, and iterating until the scanning time window is completely scanned and then stopping, capturing the M beacon signals.

[0030] Preferably, the wireless communication unit randomly generates the access order of the scanning channel based on the scanning frequency band set, generating a frequency hopping sequence to avoid the defects of fixed patterns and reduce the probability of continuous listening conflicts on the same frequency point. Then, the dwell time of multiple frequency points is analyzed, where dwell time refers to the time required for the receiving walkie-talkie to stay on each frequency point and listen to the beacon signal, ensuring that at least one complete beacon signal cycle can be captured. The product of the dwell time and the total number of frequency points, plus the small overhead of frequency point switching, is calculated to determine the total time of the entire scanning process, which is set as the scanning time window. Next, a full-frequency traversal scan is performed on multiple frequency points. Specifically, the master control walkie-talkie starts a timer and works sequentially on the frequency hopping sequence, dwelling on each frequency point for a pre-set duration, receiving and decoding beacon signals. After completely traversing all frequency points of the frequency hopping sequence within the entire scanning time window, the first round of scanning is completed, and a preliminary list of all beacon signals is captured as the result of the first round of scanning.

[0031] Preferably, after the first round of scanning, the master control radio randomly waits for a very short time within a preset range as a backoff interval. After the backoff interval, the master control radio performs the second round of scanning, and then repeats the scanning → random backoff → re-scanning process until the entire scanning process reaches the predetermined total time, that is, the scanning time window is completed. Finally, M beacon signals are output, which is the sum of beacon signals captured in all iterations. Through the dual randomization of frequency hopping and random backoff iteration, the unreliability of the wireless environment is effectively overcome, maximizing the discovery of potential network nodes.

[0032] Step S200: Adaptive networking is performed based on the device discovery list to construct a wireless mesh network, which includes a network topology.

[0033] Step S200 further includes step S210, analyzing the device capabilities of N intercom devices based on the device discovery list to obtain N device capability information; step S220, introducing the Mesh networking protocol, filtering the device discovery list according to the N device capability information and the Mesh networking protocol to determine a subset of candidate devices; step S230, associating the master intercom with the subset of candidate devices to build an initial neighbor relationship; step S240, performing a full network exchange on the device discovery list based on the initial neighbor relationship to obtain a global network view, which includes the network topology; step S250, retrieving network connection parameters, calculating link weights for multiple nodes using the global network view and the network connection parameters to obtain link connection weights; and step S260, performing distributed selection based on the link connection weights and the network topology to construct the wireless Mesh network.

[0034] Preferably, adaptive networking is performed based on the device discovery list. This transforms the devices into a wireless mesh network with an efficient and stable topology, according to their actual capabilities and link quality. Specifically, the master control radio queries the device capability information of each device in the discovery list, collecting and evaluating the resource status of each potential network node. This includes hardware capabilities such as CPU processing power and memory size, power status such as remaining battery power and whether it is connected to an external power source, and communication capabilities such as maximum transmit power and supported data rates. This avoids selecting devices with insufficient resources as key network nodes. Introducing a mesh networking protocol involves calling a built-in networking rule base, based on protocols such as HWMP and OLSR, or custom rules. For example, devices with battery power below 20% do not participate in the core network. The device discovery list is traversed and filtered according to protocol rules and device capability information, selecting all devices with battery power above this threshold to form a subset of candidate devices.

[0035] Preferably, the master control radio establishes a bidirectional communication link with each device in the candidate device subset through message handshake, constructing an initial neighbor relationship and forming an initial star topology centered on the master control radio. Based on the initial neighbor relationship, a network-wide exchange is performed. That is, the master control radio commands all its candidate device subsets to report their own device discovery lists, which are then compared and supplemented with the network-wide list issued by the master control radio. After information exchange, the master control radio obtains a global network view, including the network topology, where vertices represent all devices and edges represent known communication links. Network connection parameters are retrieved, i.e., real-time data obtained from the physical layer and link layer, mainly including signal strength, signal-to-noise ratio, and bit error rate. The network connection parameters are weighted and fused to obtain the link connection weight representing the communication cost. The higher the signal strength, the higher the signal-to-noise ratio, and the lower the bit error rate, the lower the link connection weight value, indicating a lower cost of using the link. Using the global network view and the link connection weights of each edge as input, a distributed shortest path algorithm is used for distributed selection. That is, each node calculates the path to the network with the minimum sum of weights of all other nodes based on the global network view as the optimal path. The calculated optimal path information is then distributed to each node to form a routing table, and finally, an efficient and reliable wireless mesh network is completed.

[0036] Furthermore, step S230 also includes step S231, which involves sending a neighbor invitation message to the subset of candidate devices based on the master control intercom, to determine the i-th candidate device, wherein the i-th candidate device is any candidate device within the subset of candidate devices; step S232, in which the i-th candidate device receives the neighbor invitation message, verifies the data, and generates a neighbor confirmation message; and step S233, in which the neighbor confirmation message is sent back to the master control intercom, and when the master control intercom receives the neighbor confirmation message, an initial neighbor relationship is established between the master control intercom and the i-th candidate device.

[0037] Preferably, the master radio traverses the subset of candidate devices and selects any candidate device as the i-th candidate device. Then, it constructs a neighbor invitation message and sends it to the i-th candidate device via a wireless channel. The message may include the message type, the master radio device ID, the target device ID, and a possible session identifier or random number for matching the request and response. After receiving the message, the i-th candidate device performs data verification, including checking whether the target device ID in the message matches its own ID, whether the master radio is an authenticated trusted device, and verifying the integrity of the message. If all verifications pass, the i-th candidate device generates a neighbor confirmation message, including the message type, its own device ID, the master radio device ID, and the session identifier or random number from the invitation message to confirm that it is a response to the invitation. The i-th candidate device sends the generated neighbor acknowledgment message back to the master intercom. After receiving the acknowledgment message, the master intercom performs a similar verification, such as checking whether the session identifier matches. After the verification is successful, both parties update their respective neighbor tables. That is, the master intercom adds a record to the neighbor table with the device ID being the ID of the i-th candidate device and the status being active. Similarly, the i-th candidate device also adds a record to the neighbor table with the device ID being the ID of the master intercom and the status being active. Finally, the initial neighbor relationship between the master intercom and the i-th candidate device is established.

[0038] Step S300: Based on the network topology, traverse multiple network nodes to perform relay evaluation, determine multiple relay nodes according to the evaluation results, and connect the multiple relay nodes back to the network topology to construct multiple relay paths.

[0039] Step S300 further includes step S310, performing static analysis on multiple network nodes based on the network topology to obtain node static capability parameters; step S320, performing dynamic analysis on multiple network nodes based on the network topology to obtain node dynamic performance parameters; step S330, performing betweenness center analysis on multiple network nodes based on the network topology to determine the topological positions of multiple nodes; step S340, performing relay evaluation on multiple network nodes according to the topological positions of multiple nodes combined with the node static capability parameters and the node dynamic performance parameters to generate relay evaluation scores for multiple network nodes; and step S350, adding the relay evaluation scores to the evaluation results.

[0040] Preferably, relay evaluation is performed by traversing multiple network nodes based on the network topology, including static analysis, dynamic analysis, and betweenness center analysis. Specifically, static analysis refers to evaluating the inherent hardware resources and capabilities of network nodes, including battery capacity / type, transmit power, processing power and memory, as well as the relay function at the hardware layer, to obtain the static capability parameters of the nodes, and then identify devices with sufficient power, high power, and strong performance as relays. Dynamic analysis refers to evaluating the real-time operating status and link quality of nodes, including remaining power, current CPU / memory load, and instantaneous link quality, to capture the real-time state of the network, obtain the dynamic performance parameters of the nodes, and avoid selecting nodes that are overloaded, about to run out of power, or in a weak signal environment as relays. Betweenness center analysis refers to quantifying the importance of each node in the network topology from a graph theory perspective. Betweenness centrality is a core indicator in graph theory, used to measure the number of times a node acts as a bridge for the shortest path between other nodes. Then, the betweenness centrality of each node is calculated, and the topological positions of multiple nodes are identified and determined, including the core hubs, local centers, and edge nodes of the network. Finally, weights are assigned to the node topology location, node static capability parameters, and node dynamic performance parameters. Then, all parameters are normalized and weighted to generate relay evaluation scores for multiple network nodes. The final evaluation result includes the device ID and relay evaluation score of each network node, thereby ensuring improved performance of the entire Mesh network.

[0041] Further, step S300 includes step S360, performing network impact analysis on the multiple network nodes based on the multiple node topology locations to determine the location impact coefficients of the multiple node topology locations; step S370, filtering the multiple network nodes based on the relay evaluation score and the location impact coefficients to determine multiple candidate relay nodes; step S380, matching the multiple candidate relay nodes with the multiple node topology locations to determine multiple node locations, wherein the multiple node locations correspond to the multiple candidate relay nodes, and the multiple node locations include network core hub locations, local area center locations, and other locations; step S390, setting the candidate relay nodes at the network core hub locations as core relay nodes, setting the candidate relay nodes at the local area center locations as regional relay nodes, and setting the candidate relay nodes at other locations as backup relay nodes; step S3100, tracing back the core relay nodes, the regional relay nodes, and the backup relay nodes to the network topology structure to perform path calculations and construct the multiple relay paths.

[0042] Preferably, network impact analysis refers to, based on betweenness centrality, further considering the degree of disruption to network connectivity caused by the failure of each network node or the network bottleneck effect caused by its excessive load, thereby determining the positional impact coefficient of multiple node topological locations. This coefficient represents the importance value of a network node due to its position in the network graph, with the core hub having the highest coefficient, followed by local centers, and the edge nodes having the lowest coefficient. A weighted fusion of relay evaluation scores and positional impact coefficients is used, or a requirement is set that both the relay evaluation score and the positional impact coefficient must be above a threshold, to screen network nodes, determine multiple candidate relay nodes, and ensure that the selected nodes have the highest overall quality. Then, each candidate relay node is mapped to its corresponding node topological location, determining multiple node locations, including network core hub locations, local region center locations, and other locations. The network core hub location corresponds to one or more nodes with the highest betweenness centrality in the graph, and the local region center location is the node located at the center of a network sub-region. Next, candidate relay nodes at the core hub of the network are designated as core relay nodes, candidate relay nodes at the center of local areas are designated as regional relay nodes, and candidate relay nodes at other locations are designated as backup relay nodes. Finally, the core relay nodes, regional relay nodes, and backup relay nodes are remapped to the network topology for path calculation. The path passing through the core relay node is prioritized as the backbone path for long-distance communication across regions. The path from the terminal device to its corresponding regional relay node is designated as the access path. Multiple backup paths are pre-calculated, and finally, multiple relay paths are constructed, including the primary path and multiple backup paths for the same pair of communication endpoints. This ensures that the network can maintain efficient and reliable communication even when faced with node movement, failure, or channel degradation.

[0043] Furthermore, step S370 also includes steps S371 and S372, setting a dynamic scoring threshold based on the historical relay evaluation score of the walkie-talkie with integrated relay function, and determining whether the relay evaluation score is higher than the dynamic scoring threshold; step S373, when the relay evaluation score is higher than the dynamic scoring threshold, extracting the target network node, performing a position distribution balance check based on the position influence coefficient of the target network node, and generating a balance coefficient; step S374, setting a blank preliminary candidate pool, and if the balance coefficient is within the expected balance range, then including the target network node in the preliminary candidate pool to determine the candidate relay node.

[0044] Preferably, all relay evaluation scores of walkie-talkies with integrated relay functions over a past period are obtained, and their average value is set as a dynamic scoring threshold. The relay evaluation scores are compared with the dynamic scoring threshold to determine whether the relay evaluation scores are higher than the dynamic scoring threshold. If they are higher, target network nodes are extracted and their location distribution is checked for balance. That is, it is analyzed whether adding this new node to the candidate pool would cause all nodes in the candidate pool to be too concentrated in the topology or evenly distributed. Then, the topological distance between each pair of candidate relay nodes is calculated to generate a balance coefficient, which is used to measure the distribution uniformity of the candidate node set. If the distances are all very small, it means that the balance coefficient is poor; if the distance distribution is relatively uniform, the balance coefficient is good. A blank preliminary candidate pool is set up to store nodes that pass all screening conditions. For target network nodes that pass the judgment, they are simulated to be added to the preliminary candidate pool and the overall balance coefficient of the current preliminary candidate pool is recalculated. If it is in the expected balance range, it means that the distribution of nodes in the preliminary candidate pool is still uniform after adding the node, and then it is officially included in the preliminary candidate pool. This ensures that the finally determined candidate relay nodes simultaneously meet the requirements of high individual quality, large location influence, and excellent overall distribution, thereby achieving the optimization of global communication performance.

[0045] Step S400: Based on the wireless mesh network, data transmission is monitored according to the multiple relay paths to obtain real-time network performance parameters. The real-time network performance parameters are fed back to the multiple relay paths for dynamic adjustment. Based on the adjustment results, the wireless networking of the walkie-talkie with integrated relay function is optimized and controlled.

[0046] Step S400 further includes step S410, actively probing along the multiple relay paths based on the wireless mesh network to generate data transmission detection results; step S420, passively listening along the multiple relay paths based on the wireless mesh network to generate data transmission listening results; step S430, encapsulating the data transmission detection results and the data transmission listening results, performing network analysis based on the encapsulated data to obtain raw link performance data; step S440, performing clear clustering processing on the raw link performance data to generate real-time network performance parameters; step S450, feeding back the real-time network performance parameters to the multiple relay paths for anomaly detection to obtain performance anomaly detection parameters; step S460, performing evolution prediction based on the anomaly detection parameters to generate an anomaly prediction trend map, mapping the anomaly prediction trend map to the multiple relay paths for path adjustment, and generating adjustment results.

[0047] Preferably, data transmission monitoring is performed based on a wireless mesh network. Specifically, active probing is conducted along multiple relay paths, sending probe data packets as needed along each preset relay path to measure its performance and generate data transmission probe results, including end-to-end latency, jitter, packet loss rate, and reachability, to assess the health of the relay paths. Then, passive listening is performed along multiple relay paths based on the wireless mesh network, where relay nodes listen to actual user data traffic passing through them. Data transmission listening results are generated by analyzing this data, including actual throughput, channel utilization, number of collisions or retransmissions, and real-time changes in signal strength, thereby obtaining network performance under real load and reflecting user experience quality. Finally, the data transmission probe results and data transmission listening results are encapsulated and network analysis is performed, including calculating average, maximum, and minimum values ​​and performing correlation analysis to generate raw link performance data.

[0048] Preferably, the raw link performance data is input into a clustering algorithm for clear clustering processing, grouping links with similar performance characteristics into the same category. For example, clustering yields healthy link clusters with low latency and low packet loss, congested link clusters with high latency and high utilization, and unstable link clusters with high jitter and high retransmission. The label and centroid features of each cluster are then used as real-time network performance parameters to clearly characterize the overall network health status. These real-time network performance parameters are then fed back to multiple relay paths for comparison with preset performance baselines or normal thresholds. Statistical outlier detection determines whether the current state is abnormal, identifying abnormal links whose performance significantly deviates from the normal range, obtaining performance anomaly detection parameters to accurately locate fault points and describe the severity of the fault.

[0049] Preferably, time series analysis or prediction models, such as ARIMA and LSTM networks, are used to perform evolutionary prediction based on anomaly detection parameters. This involves analyzing the historical change sequences of anomaly detection parameters, predicting their future trends, and generating anomaly prediction trend maps. For example, if the packet loss rate of link A is expected to increase from 5% to 40% within the next 30 seconds, the anomaly prediction trend map is then mapped to multiple relay paths for path adjustment. This may include switching traffic that originally passed through link A to a backup path with a predicted healthy status, or recalculating a new path to avoid the impending failure area. The resulting path switching command is then output as the adjustment result. Finally, based on the adjustment results, the wireless network of walkie-talkies with integrated relay functions is optimized and controlled. This involves converting the adjustment results into control commands and sending them to the walkie-talkies with integrated relay functions in the network, dynamically switching node roles and operating modes. For example, activating backup relay nodes, deactivating or putting to sleep nodes with severely degraded performance or low battery levels, and distributing traffic from overloaded relay paths to less loaded paths. This allows the wireless network of walkie-talkies with integrated relay functions to bypass faults, achieve load balancing, and reduce energy consumption, thereby expanding communication coverage and improving communication efficiency.

[0050] In the above text, refer to Figure 1 A wireless networking control method for a walkie-talkie with integrated relay function according to an embodiment of the present invention is described in detail. Next, reference will be made to... Figure 2 This invention describes a wireless networking control system for a walkie-talkie with integrated relay function according to an embodiment of the present invention.

[0051] According to an embodiment of the present invention, a wireless networking control system for a walkie-talkie with integrated relay function is provided to solve the technical problems existing in the prior art, such as the difficulty in intelligently selecting relay nodes and optimizing relay paths in dynamic environments, resulting in limited network coverage, poor reliability, and low communication efficiency. The system achieves the technical effects of expanding communication coverage, improving communication efficiency, and realizing dynamic optimization of network resources. Figure 2 As shown, a wireless networking control system for a walkie-talkie with integrated relay function includes: a device list construction module 10, an adaptive networking module 20, a relay path construction module 30, and a path dynamic adjustment module 40.

[0052] The device list construction module 10 is used to scan wireless signals through walkie-talkies with integrated repeater functions, discover N walkie-talkie devices, and construct a device discovery list, where N is a positive integer greater than 0. The adaptive networking module 20 is used to perform adaptive networking based on the device discovery list to construct a wireless mesh network, which includes a network topology. The repeater path construction module 30 is used to traverse multiple network nodes based on the network topology to perform repeater evaluation, determine multiple repeater nodes based on the evaluation results, and connect the multiple repeater nodes back to the network topology to construct multiple repeater paths. The path dynamic adjustment module 40 is used to monitor data transmission according to the multiple repeater paths based on the wireless mesh network, obtain real-time network performance parameters, feed back the real-time network performance parameters to the multiple repeater paths for dynamic adjustment, and optimize the wireless networking of the walkie-talkies with integrated repeater functions based on the adjustment results.

[0053] The specific configuration of the device list construction module 10 will be described in detail below. The device list construction module 10 further includes: performing control analysis based on the integrated repeater walkie-talkie to determine the master walkie-talkie; activating the networking mode of the master walkie-talkie, initializing the wireless communication unit according to the networking mode, and setting a scanning frequency band set; scanning wireless signals through the wireless communication unit according to the scanning frequency band set to capture M beacon signals, where M is a positive integer greater than or equal to N; parsing the M beacon signals to obtain M signal strength data, evaluating the signal quality of the M beacon signals, and generating M signal quality scores; filtering the M beacon signals based on the M signal quality scores to determine N walkie-talkie devices; performing two-way authentication on the N walkie-talkie devices, and constructing the device discovery list when authentication is successful.

[0054] The specific configuration of the device list construction module 10 will be described in detail below. The device list construction module 10 further includes: generating a frequency hopping sequence based on the wireless communication unit according to the scanning frequency band set; analyzing the dwell time of multiple frequency points based on the wireless communication unit and setting a scanning time window; performing a full-frequency traversal scan of multiple frequency points according to the scanning time window based on the frequency hopping sequence to generate a first-round scan result; randomly capturing backoff interval data; starting a second-round scan based on the backoff interval data according to the scanning cycle; iterating until all scans within the scanning time window are completed, thereby capturing the M beacon signals.

[0055] The specific configuration of the adaptive networking module 20 will be described in detail below. The adaptive networking module 20 further includes: analyzing the capabilities of N intercom devices based on the device discovery list to obtain N device capability information; introducing a Mesh networking protocol, filtering the device discovery list according to the N device capability information and the Mesh networking protocol to determine a subset of candidate devices; associating the master intercom with the subset of candidate devices to establish an initial neighbor relationship; performing a full-network exchange on the device discovery list based on the initial neighbor relationship to obtain a global network view, which includes the network topology; retrieving network connection parameters, calculating link weights for multiple nodes using the global network view and the network connection parameters to obtain link connection weights; and performing distributed selection based on the link connection weights and the network topology to construct the wireless Mesh network.

[0056] The specific configuration of the adaptive networking module 20 will be described in detail below. The adaptive networking module 20 further includes: sending a neighbor invitation message to the subset of candidate devices based on the master control intercom, determining the i-th candidate device, where the i-th candidate device is any candidate device within the subset of candidate devices; the i-th candidate device receiving the neighbor invitation message, verifying the data, and generating a neighbor confirmation message; replying to the master control intercom with the neighbor confirmation message; and establishing an initial neighbor relationship between the master control intercom and the i-th candidate device when the master control intercom receives the neighbor confirmation message.

[0057] The specific configuration of the relay path construction module 30 will be described in detail below. The relay path construction module 30 further includes: performing static analysis on multiple network nodes based on the network topology to obtain static capability parameters of the nodes; performing dynamic analysis on multiple network nodes based on the network topology to obtain dynamic performance parameters of the nodes; performing betweenness center analysis on multiple network nodes based on the network topology to determine the topological positions of multiple nodes; performing relay evaluation on multiple network nodes according to the topological positions of the multiple nodes combined with the static capability parameters and the dynamic performance parameters of the nodes, generating relay evaluation scores for multiple network nodes; and adding the relay evaluation scores to the evaluation result.

[0058] The specific configuration of the relay path construction module 30 will be described in detail below. The relay path construction module 30 further includes: performing network impact analysis on the multiple network nodes based on their topological locations to determine the location impact coefficients of the multiple node topological locations; filtering the multiple network nodes based on the relay evaluation scores and the location impact coefficients to determine multiple candidate relay nodes; matching the multiple candidate relay nodes with their topological locations to determine multiple node locations, where each node location corresponds to one of the multiple candidate relay nodes, and the multiple node locations include network core hub locations, local area center locations, and other locations; setting the candidate relay nodes at the network core hub locations as core relay nodes, the candidate relay nodes at the local area center locations as regional relay nodes, and the candidate relay nodes at other locations as backup relay nodes; and performing path calculations by tracing back the core relay nodes, regional relay nodes, and backup relay nodes to the network topology to construct the multiple relay paths.

[0059] The specific configuration of the relay path construction module 30 will be described in detail below. The relay path construction module 30 further includes: setting a dynamic scoring threshold based on the historical relay evaluation scores of walkie-talkies with integrated relay functions; determining whether the relay evaluation score is higher than the dynamic scoring threshold; when the relay evaluation score is higher than the dynamic scoring threshold, extracting target network nodes; performing a position distribution balance check based on the position influence coefficient of the target network nodes to generate a balance coefficient; setting a blank preliminary candidate pool; if the balance coefficient is within the expected balance range, then including the target network node in the preliminary candidate pool to determine the candidate relay node.

[0060] The specific configuration of the path dynamic adjustment module 40 will be described in detail below. The path dynamic adjustment module 40 further includes: actively probing the multiple relay paths based on the wireless mesh network to generate data transmission detection results; passively listening to the multiple relay paths based on the wireless mesh network to generate data transmission listening results; encapsulating the data transmission detection results and the data transmission listening results, performing network analysis based on the encapsulated data to obtain raw link performance data; performing clear clustering processing on the raw link performance data to generate real-time network performance parameters; feeding back the real-time network performance parameters to the multiple relay paths for anomaly detection to obtain performance anomaly detection parameters; performing evolution prediction based on the anomaly detection parameters to generate an anomaly prediction trend map, mapping the anomaly prediction trend map to the multiple relay paths for path adjustment, and generating adjustment results.

[0061] The wireless networking control system for an integrated repeater walkie-talkie provided in this embodiment of the invention can execute the wireless networking control method for an integrated repeater walkie-talkie provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0062] Although this application makes various references to certain modules in the system according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0063] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A wireless networking control method for a walkie-talkie with integrated repeater function, characterized in that, The method includes: By scanning wireless signals using walkie-talkies with integrated repeater functionality, N walkie-talkie devices are discovered, and a device discovery list is constructed, where N is a positive integer greater than 0. Adaptive networking is performed based on the device discovery list to construct a wireless mesh network, which includes a network topology. Based on the network topology, multiple network nodes are traversed to perform relay evaluation. Based on the evaluation results, multiple relay nodes are determined, and these multiple relay nodes are traced back to the network topology to connect them, thus constructing multiple relay paths. Based on the wireless mesh network, data transmission is monitored along the multiple relay paths to obtain real-time network performance parameters. These parameters are then fed back to the multiple relay paths for dynamic adjustment. Based on the adjustment results, the wireless networking of the walkie-talkie with integrated relay function is optimized and controlled.

2. The wireless networking control method for a walkie-talkie with integrated relay function as described in claim 1, characterized in that, By using walkie-talkies with integrated repeater functionality to scan for wireless signals, N walkie-talkie devices are discovered, and a device discovery list is constructed, where N is a positive integer greater than 0. The methods include: Based on the control analysis of the walkie-talkie with integrated relay function, the main control walkie-talkie is determined; Activate the networking mode of the main control walkie-talkie, initialize the wireless communication unit according to the networking mode, and set the scanning frequency band set; The wireless communication unit scans for wireless signals according to the set of scanning frequency bands, capturing M beacon signals, where M is a positive integer greater than or equal to N; Based on the analysis of the M beacon signals, M signal strength data are obtained, and the signal quality of the M beacon signals is evaluated to generate M signal quality scores; Based on the M signal quality scores, the M beacon signals are filtered to determine N walkie-talkie devices; Perform two-way authentication on the N walkie-talkie devices, and when the authentication is successful, construct the device discovery list.

3. The wireless networking control method for a walkie-talkie with integrated relay function as described in claim 2, characterized in that, The wireless communication unit performs a wireless signal scan according to the set of scanning frequency bands to capture M beacon signals, the method comprising: Based on the wireless communication unit, a frequency hopping sequence is generated randomly according to the scanning frequency band set; Based on the wireless communication unit, the dwell time of multiple frequency points is analyzed, and a scanning time window is set. Based on the frequency hopping sequence, a full-frequency traversal scan is performed on multiple frequency points according to the scanning time window to generate the first round of scanning results; Randomly capture backoff interval data, and start the second round of scanning according to the scanning cycle based on the backoff interval data. Iterate until the scanning time window is completely scanned and stop, and capture the M beacon signals.

4. The wireless networking control method for a walkie-talkie with integrated relay function as described in claim 2, characterized in that, Adaptive networking is performed based on the device discovery list to construct a wireless mesh network, which includes a network topology. The method includes: Based on the device discovery list, analyze the device capabilities of N intercom devices to obtain N device capability information; A Mesh networking protocol is introduced, and the device discovery list is traversed and filtered according to the Mesh networking protocol based on the capability information of the N devices to determine a subset of candidate devices. Associate the master walkie-talkie with the subset of candidate devices to establish initial neighbor relationships; Based on the initial neighbor relationships, the device discovery list is exchanged across the entire network to obtain a global network view, which includes the network topology. Retrieve network connection parameters, and calculate link weights for multiple nodes using the global network view and the network connection parameters to obtain link connection weights. The wireless mesh network is constructed by distributing the selection based on the link connection weights and the network topology.

5. The wireless networking control method for a walkie-talkie with integrated relay function as described in claim 4, characterized in that, Associating the master walkie-talkie with the subset of candidate devices to establish initial neighbor relationships includes the following methods: Based on the master control intercom sending a neighbor invitation message to the candidate device subset, the i-th candidate device is determined, and the i-th candidate device is any candidate device within the candidate device subset; The i-th candidate device receives the neighbor invitation message, verifies the data, and generates a neighbor confirmation message. The master control intercom replies with the neighbor acknowledgment message. When the master control intercom receives the neighbor acknowledgment message, it establishes the initial neighbor relationship between the master control intercom and the i-th candidate device.

6. The wireless networking control method for a walkie-talkie with integrated relay function as described in claim 1, characterized in that, Based on the aforementioned network topology, relay evaluation is performed by traversing multiple network nodes. The method includes: Based on the network topology, multiple network nodes are traversed to perform static analysis and obtain the static capability parameters of the nodes. Based on the network topology, multiple network nodes are traversed and dynamic analysis is performed to obtain the dynamic performance parameters of the nodes. Based on the network topology, betweenness center analysis is performed on multiple network nodes to determine the topological positions of multiple nodes. Based on the topological location of the multiple nodes, combined with the static capability parameters and dynamic performance parameters of the nodes, a relay evaluation is performed on the multiple network nodes to generate relay evaluation scores for the multiple network nodes. The relay evaluation score is added to the evaluation result.

7. The wireless networking control method for a walkie-talkie with integrated relay function as described in claim 6, characterized in that, Based on the evaluation results, multiple relay nodes are identified, and these multiple relay nodes are connected back to the network topology to construct multiple relay paths. The method includes: Based on the topological locations of the multiple nodes, a network impact analysis is performed on the multiple network nodes to determine the location impact coefficients of the multiple node topological locations. Based on the relay evaluation score and the location influence coefficient, the multiple network nodes are screened to determine multiple candidate relay nodes; Based on the multiple candidate relay nodes and the multiple node topology locations, multiple node locations are determined by matching. The multiple node locations correspond to the multiple candidate relay nodes, and the multiple node locations include network core hub locations, local area center locations, and other locations. The candidate relay node at the core hub location of the network is set as the core relay node, the candidate relay node at the center location of the local area is set as the regional relay node, and the candidate relay nodes at other locations are set as backup relay nodes. The core relay node, the regional relay node, and the backup relay node are traced back to the network topology to perform path calculations and construct the multiple relay paths.

8. The wireless networking control method for a walkie-talkie with integrated relay function as described in claim 7, characterized in that, The method for selecting multiple candidate relay nodes by combining the relay evaluation score with the location influence coefficient includes: Based on the relay evaluation score and the location influence coefficient, multiple network nodes are screened to determine multiple candidate relay nodes; A dynamic scoring threshold is set based on the historical relay evaluation score of the walkie-talkie with integrated relay function, and it is determined whether the relay evaluation score is higher than the dynamic scoring threshold. When the relay evaluation score is higher than the dynamic scoring threshold, the target network node is extracted, and a position distribution balance check is performed based on the position influence coefficient of the target network node to generate a balance coefficient. A blank initial candidate pool is set up. If the balance coefficient is within the expected balance range, the target network node is included in the initial candidate pool to determine the candidate relay node.

9. The wireless networking control method for a walkie-talkie with integrated relay function as described in claim 1, characterized in that, Based on a wireless mesh network, data transmission is monitored along the multiple relay paths to obtain real-time network performance parameters. These parameters are then fed back to the multiple relay paths for dynamic adjustment. The method includes: Based on the wireless mesh network, active detection is performed according to the multiple relay paths to generate data transmission detection results; Based on the wireless mesh network, passive monitoring is performed according to the multiple relay paths to generate data transmission monitoring results; The data transmission detection results and the data transmission monitoring results are encapsulated, and network analysis is performed based on the encapsulated data to obtain the raw link performance data. The raw link performance data is subjected to clear clustering to generate real-time network performance parameters; The real-time network performance parameters are fed back to the multiple relay paths for anomaly detection to obtain performance anomaly detection parameters; Evolutionary prediction is performed based on the anomaly detection parameters to generate an anomaly prediction trend map. The path is then adjusted according to the anomaly prediction trend map and mapped to the multiple relay paths to generate adjustment results.

10. A wireless networking control system for a walkie-talkie with integrated repeater function, characterized in that, The system is used to implement the wireless networking control method for an integrated relay function walkie-talkie according to any one of claims 1 to 9, the system comprising: The device list building module is used to scan wireless signals through walkie-talkies with integrated repeater functions, discover N walkie-talkie devices, and build a device discovery list, where N is a positive integer greater than 0; An adaptive networking module is used to perform adaptive networking based on the device discovery list to build a wireless mesh network, wherein the wireless mesh network includes a network topology. The relay path construction module is used to traverse multiple network nodes based on the network topology to perform relay evaluation, determine multiple relay nodes according to the evaluation results, and connect the multiple relay nodes back to the network topology to construct multiple relay paths. The path dynamic adjustment module is used to monitor data transmission according to the multiple relay paths based on the wireless mesh network, obtain real-time network performance parameters, feed back the real-time network performance parameters to the multiple relay paths for dynamic adjustment, and optimize the wireless networking of the walkie-talkie with integrated relay function based on the adjustment results.

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