556 results about "Broadcast data" patented technology

The embodiment of the invention provides a live broadcast data processing method and device and a storage medium, and the live broadcast data processing method comprises the steps: determining multi-modal live broadcast data of a target game, carrying out the data analysis of the multi-modal live broadcast data, and obtaining the initial features of a plurality of modals, the multi-modal live broadcast data comprises target game data, a game live broadcast video and live broadcast interaction data associated with the game live broadcast video; performing feature analysis on the initial features of the multiple modes to obtain target features of the multiple modes; performing fragment detection on the target features of the multiple modes by using a fragment detection model to obtain target video fragment parameters; generating a target live video clip corresponding to the target game based on the target video clip parameter and the game live video; the problems that the efficiency of a manual screening mode is low, and the requirements of actual popularization and publicity cannot be met are solved.

The invention discloses a method and a system for monitoring internet live broadcast illegal behaviors based on image and voice recognition, and relates to the technical field of live broadcast monitoring. The method comprises the following steps: acquiring live stream data of each anchor and verifying data integrity; processing the live broadcast stream data to obtain preprocessed live broadcast stream data; performing feature recognition on the video frame set by using the determined image violation processing model, and outputting image violation marking information; performing text processing on the voice-to-text data by using the determined text processing model, and outputting text violation marking information; based on the image violation mark information and the text violation mark information, determining whether the anchor violates the rule or not, and giving an alarm when the anchor violates the rule; and the data acquisition parameters are corrected based on the historical violation data of the anchor, so that the problem that it is difficult to accurately acquire and process the live broadcast data to identify Internet live broadcast violation behaviors and optimize the monitoring parameters according to the historical violation data by using image and voice recognition technologies at the same time in the prior art is solved.

The invention discloses a live broadcast abnormal state monitoring method, a live broadcast abnormal state monitoring platform and a data acquisition device. The method comprises the following steps: receiving a live broadcast data stream sent by a data acquisition device; the live broadcast data stream is decoded to obtain decoding information, and the decoding information comprises video content information; converting the video content information into multi-modal information; using a multi-modal multi-task model to perform abnormal state detection corresponding to a plurality of abnormal state detection tasks on the multi-modal information to obtain a first abnormal state detection result, the plurality of abnormal state detection tasks being at least used for performing abnormal state detection on live broadcast content corresponding to the live broadcast data stream, and the abnormal state detection types corresponding to the plurality of abnormal state detection tasks being different; and when the first abnormal state detection result represents that the live broadcast content is abnormal, abnormal state alarm is carried out. According to the live broadcast abnormal state monitoring method provided by the embodiment of the invention, the live broadcast safety can be improved.

The invention relates to the technical field of unmanned aerial vehicle control, in particular to a method and system for achieving unmanned aerial vehicle control based on a 5G law enforcement recorder, and the method comprises the steps that 1, the 5G law enforcement recorder is used for receiving and analyzing data broadcasted by an unmanned aerial vehicle, and the data comprises the position, the model code, the control position, the real-name registration and registration authentication state and other information of the unmanned aerial vehicle; step 2, the 5G law enforcement recorder obtains broadcast data of the unmanned aerial vehicle by means of integrated ADS-B and Remote ID technologies, and judges whether the unmanned aerial vehicle is in a black flight state according to the broadcast data; according to the scheme, by means of a 5G law enforcement recorder, the management problem of the unmanned aerial vehicle is solved, the system is small, exquisite and low in cost, integrates ADS-B and other technologies, can rapidly judge black flight, match sensitive area data, pre-warn and intervene to guarantee safety, can deal with communication interference, intelligently adjust parameters according to scenes, and further promotes the management of the unmanned aerial vehicle to be efficient depending on historical data optimization management and control.

The invention discloses a live broadcast stream pushing method, which comprises the steps of obtaining a task undertaking instruction used for indicating to undertake a task for pushing a first live broadcast data stream to a client, the first live broadcast data stream being a live broadcast data stream corresponding to a target live broadcast room, and the target live broadcast room corresponding to a plurality of live broadcast data streams; sending a live broadcast material data request message used for requesting to obtain live broadcast material data used for generating the first live broadcast data stream; obtaining live broadcast material data, wherein the live broadcast material data comprises user portrait data, anchor image data, anchor timbre data and first service item data which can be provided for a user by an anchor party; generating the first live broadcast data stream according to the live broadcast material data; and pushing the first live broadcast data stream to the first user side. By adopting the scheme of the invention, different users can see different live broadcast room contents when entering the same live broadcast room, so that the live broadcast room contents and live broadcast styles watched by the users better conform to user preferences.

The embodiment of the invention provides a live broadcast room detection method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of large models, and the method comprises the steps: carrying out the analysis of a live broadcast data stream, obtaining a to-be-detected target video and a to-be-detected target voice, and storing the to-be-detected target video and the to-be-detected target voice; detecting the target video and the target voice based on the trained multi-modal large model and at least one preset detection strategy to obtain a detection result corresponding to each detection strategy; and if at least one of the detection results satisfies an alarm condition, generating alarm information. Through the above mode, unified video analysis of the live broadcasting room is realized through the multi-mode large model, a more intelligent and accurate violation detection method is provided, and powerful guarantee is provided for market supervision. Moreover, different image, voice and video acquisition modes are designed according to different timeliness and detection modes of illegal scene detection, and shunting detection is carried out, so that the detection efficiency is improved.

The invention discloses a match data processing method and system based on multi-terminal collaboration, relates to the technical field of data processing, can be applied to the field of match live broadcast, and mainly aims at solving the problems that live broadcast data processing of existing match data processing highly depends on manual broadcast director and is low in timeliness. The method mainly comprises the following steps: inputting penalty information through a penalty input interface of a penalty terminal, forwarding the penalty information to a timing and scoring system, calling at least one target triggering pendant matched with a penalty object and a penalty type, generating real-time match condition data according to the target triggering pendant and a real-time video stream, and sending the real-time match condition data to the penalty terminal. The real-time match condition data is displayed in a live broadcast mode through a live broadcast interface of the live broadcast terminal; intercepting a playback video stream according to the marking timestamp and the penalty type of the video point marking instruction; and in response to data updating of the timing and scoring system, generating match condition playback data according to the timing and scoring updating pendant and the playback video stream, and displaying the match condition playback data in a live broadcast manner through a live broadcast interface. The method is mainly used for event data processing.

The invention discloses a live broadcast anomaly detection method and electronic equipment, and belongs to the technical field of terminals. The method comprises the following steps: performing feature extraction on modal data in live broadcast data to obtain multi-modal features; wherein the multi-modal features comprise at least two modal features of a video feature, an audio feature and a text feature; performing cross-modal correction and intra-modal aggregation processing on the multi-modal features to obtain target multi-modal features; wherein the target multi-modal features comprise target modal features corresponding to the modal features; based on the contribution degree corresponding to each target modal feature, fusing the target multi-modal features to obtain an overall feature; calculating the semantic similarity between the overall feature and the standard live broadcast abnormal feature; and when the semantic similarity is greater than or equal to the similarity threshold, outputting a live broadcast anomaly result, thereby ensuring the accuracy of live broadcast anomaly detection.

The invention provides a multi-source material fused video content generation method, system and device and a medium. The method comprises the steps of collecting multiple pieces of terminal data of an anchor side in real time, performing modal classification, global timestamp labeling, format standardization processing and structure unification processing on each piece of terminal data, and performing display intention label labeling on the terminal data based on a display intention labeling strategy. And inputting the preprocessed terminal data into a multi-modal semantic analysis engine according to the modal type, extracting semantic features, and performing importance scoring. And constructing a weighted attribute graph based on the preprocessed terminal data, the modal data sequence, the semantic feature vector and the importance score, and automatically generating a display decision scheme by adopting a fusion strategy according to the weighted attribute graph. And dynamically generating a visual layout and completing display rendering of the multi-source materials based on the display decision scheme in combination with screen attributes and interaction capabilities of the audience terminals. According to the invention, synchronization, intelligent analysis and adaptive display of multi-modal live broadcast data can be realized.

The invention discloses a switch, a method and a system for realizing collective communication based on a multicast replication engine, the switch comprises a plurality of ports and a multicast replication engine, and the multicast replication engine comprises a group matcher and a broadcast module; if the multicast replication engine determines that the communication request transmitted by the request port is a broadcast request, the multicast replication engine sends the communication request to a group matcher and receives broadcast data transmitted by a request port target; the group matcher responds to the received broadcast request, determines broadcast ports and corresponding broadcast addresses according to a preset broadcast group table and transmits the broadcast ports and the corresponding broadcast addresses to the broadcast module, the broadcast group table comprises memory addresses configured for all the ports, the broadcast ports are other ports except the request port, and the broadcast addresses are one or more of the memory addresses; and when the broadcast module receives the broadcast ports and the broadcast addresses, each broadcast port is controlled to receive broadcast data through the broadcast addresses. According to the invention, the broadcast operation efficiency can be improved, and the data transmission delay is reduced.

The invention provides a flow control method based on segmented flight route splicing data, and the method comprises the following steps: S1, carrying out the dynamic flight path perception and segmented detection stage, and analyzing the ADS-B broadcast data and flight plan of an aircraft in real time; s2, a flight path prediction and resource pre-allocation stage: predicting the flight path of the aircraft in the future 10 seconds based on the hybrid model and the flight route, inputting a historical flight path, meteorological data and an airspace control instruction, and outputting a flight path probability distribution diagram; according to a prediction result, an optimal network resource allocation scheme is dynamically calculated through reinforcement learning, a target function is minimum switching delay, and satellite link delay compensation and spectrum resource conflict avoidance are constrained; s3, in a multi-mode network cooperative switching stage, a flow table rule is issued to a target network node through the SDN controller 300 ms before a route splicing point, and a double-link redundant channel is established; a QUIC protocol optimized fast session migration technology is adopted, transmission layer connection is maintained during physical layer switching, and zero-loss switching is achieved.

The invention discloses an e-commerce live broadcast violation detection method, device and equipment, a medium and a product. The method comprises the steps that real-time live broadcast data is acquired, the real-time live broadcast data is obtained by performing voice recognition on an acquired real-time live broadcast video, and the data type of the real-time live broadcast data is text data; marking the real-time live broadcast data by using a preset model to obtain a corresponding text vector; inputting the text vector corresponding to the real-time live broadcast data into a pre-trained first-stage classification model to obtain a first violation detection result indicating whether the real-time live broadcast data is compliant or not; and under the condition that the first violation detection result is non-compliant, inputting a text vector corresponding to the real-time live broadcast data into a pre-trained two-stage classification model to obtain a second violation detection result, the second violation detection result comprising suspected violation or serious violation. According to the embodiment of the invention, the model detection efficiency can be improved, and the detection accuracy can be improved.

The invention belongs to the field of Internet information processing, and particularly relates to a live broadcast information analysis method based on a knowledge graph, which comprises the following steps: acquiring a certain amount of various types of live broadcast data of a specified platform, and respectively establishing a violation database and a normal database; selecting a certain amount of live broadcast data from the violation database and the normal database, selecting violation and violation keywords, and establishing a knowledge graph of each category according to the violation and violation keywords; according to the method, live broadcast information is analyzed and sorted in a knowledge graph mode, corresponding keyword information is acquired, a target model is established, and illegal information auditing is performed, so that illegal information in daily live broadcast can be audited in real time without too many administrators, the success rate of auditing is far greater than that of manual auditing, and the auditing efficiency is greatly improved. Hidden dangers in the platform can be greatly eliminated, and the live broadcast quality is effectively controlled.

The invention relates to the technical field of e-commerce live broadcast, and particularly discloses a live broadcast data-based e-commerce live broadcast trend analysis system, which is used for extracting live broadcast commodity sales data and historical live broadcast sales data of a target commodity to obtain a live broadcast sales data time sequence set and a plurality of historical live broadcast sales data time sequence sets, performing time sequence feature analysis on the live broadcast sales data time sequence set and each historical live broadcast sales data time sequence set by using an AI-based data analysis and processing algorithm; therefore, the commodity sales data speculation value of the next time interval of the target commodity is intelligently pre-determined according to the selection range ratio dynamic semantic query expression between the live sales data time sequence characteristics and the historical live sales data time sequence characteristics. According to the method, nonlinear and changeable market dynamics can be better captured, so that the model not only pays attention to a short-term trend, but also can understand a long-term mode, and the understanding depth of a sales volume change rule is improved.

The invention provides a multi-platform live broadcast room data visualization and optimization decision support method and system, and the method comprises the steps: collecting the historical live broadcast data of live broadcast rooms on different platforms, visualizing the live broadcast data, constructing a multi-dimensional benefit evaluation index system based on a heterogeneous data source, taking the exposure times of the live broadcast rooms as an agent index for generating benefits, and carrying out the visualization of the live broadcast data. A benefit function of a live broadcast room is introduced to model a fund optimization problem into a multi-objective optimization model, benefit function maximization is used as an objective function to solve an optimal distribution strategy, and a particle swarm optimization algorithm is used for iterative solution to enable the benefit to reach the optimal exposure times of the live broadcast room. Live broadcast data are analyzed through quantized historical data and a multi-objective optimization algorithm, and a visual distribution scheme is sorted out through a computer, so that a user is helped to make a reasonable decision. Through optimization and decision support, a decision maker is helped to flexibly adjust a strategy in a dynamically changing market environment, blind investment is avoided, and decision accuracy and overall operation benefits are improved.

A method for maintaining a process bus communication network is provided. The method involves querying data values from client devices within the network. Data values are then received from both publisher devices of these client devices, which broadcast data across the network, and from subscriber devices of these client devices, which seek the broadcasted data. The method further includes analysing these received data values to detect anomalies in the process bus communication network. Each detected anomaly is subsequently categorized into a configuration problem at a publisher device, a communication obstacle stemming from a mismatch between a publisher device and its corresponding subscriber device, or a configuration issue at a subscriber device. The method further provides an output that includes the specifics of these identified anomalies, along with their respective classifications.

The invention relates to the field of Bluetooth audio, in particular to a Bluetooth broadcast audio data sending and receiving method and device, and the method comprises the steps: building a BIS connection with a Bluetooth audio device; generating a random number of which the length is a preset first length; inputting an encryption party key and the random number into a preset Hash algorithm to generate a Hash value; according to the hash value and the random number, a random broadcast code is generated, and the length of the random broadcast code is a preset second length; generating and sending broadcast data according to the random broadcast code; receiving confirmation information fed back by the Bluetooth audio equipment according to the broadcast data; and according to the confirmation information, stopping sending the broadcast data, and sending Bluetooth broadcast audio data through the BIS connection. According to the invention, the key verification efficiency is improved, the user experience is improved, and the user interface design of the product is more visual.

The invention discloses a real-time communication system based on dynamic broadcast routing. The real-time communication system comprises a system driving program of a broadcast network and a system application program corresponding to the system driving program, the system application program performs data communication with the system driving program through an interface, receives user data or a data packet, constructs and analyzes a broadcast link control packet, and obtains a private routing table of wireless communication equipment according to a complete path table of a broadcast network; the system driving program is located in a kernel program of an operating system, and is combined with the system application program to modify routing logic of a network protocol stack of the operating system, the routing logic comprises routing table maintenance, path selection and actual forwarding of broadcast data packets, and dual functions of data transmission and network monitoring are completed; the method specifically comprises the following three stages: the first stage is a broadcast network construction stage, the second stage is a routing path distribution stage, and the third stage is a broadcast network data transmission and routing maintenance stage. According to the invention, the standard RTP data packet is used as a monitoring object, and the monitoring of the link state is realized while the standard RTP data packet is used for bearing the broadcast data, so that the dual functions of data transmission and network monitoring can be completed without extra overhead; the method has the advantages of low network bandwidth occupation, expandability and good network applicability.

The invention discloses an idle broadcast detection method and device, equipment and a storage medium, and belongs to the field of network live broadcast. The method comprises the steps of obtaining live broadcast data of a first live broadcast room; determining at least one classification result of the live broadcast data, wherein the at least one classification result is used for indicating one or more of whether a voiceprint of the first live broadcast room is matched, whether a picture contains a human body, whether a human body posture is static, and whether an anchor executes interaction operation; and determining an identification result based on the at least one classification result, wherein the identification result is used for indicating whether the first live broadcast room is idle. The method can improve the idle broadcast detection efficiency.

The invention provides a Bluetooth scanning method and related equipment. The method can be applied to an intelligent interconnection scene. After broadcast data is obtained through a Bluetooth chip configured with a filter, filtering configuration information matched with the broadcast data is determined, and the filtering configuration information comprises address information of a callback function used for processing the broadcast data. And transmitting the broadcast data to a callback function according to the address information. Therefore, the callback function matched with the broadcast data can be accurately used for processing the broadcast data, the processing flow is simplified, the efficiency is improved, and the power consumption is reduced. In some embodiments, the broadcast data is subjected to de-duplication processing through the hard filtering module, and the broadcast data is transmitted to the callback function after being determined to be not repeated broadcast, so that the computing power and the power consumption are saved. In some embodiments, after all the broadcast data needing to be scanned by the operating system are transmitted to the corresponding callback function, scanning of the operating system is stopped, the number of broadcasts scanned by the operating system can be reduced as much as possible, and computing power and power consumption are saved.

The invention provides a communication method and device. The method comprises: a first terminal device obtaining a first configuration from a network device, the first configuration comprising a first radio link control bearer configuration, the first radio link control bearer configuration having an association relationship with a first carrier, the first radio link control bearer configuration is one of a plurality of radio link control bearer configurations corresponding to packet data convergence layer protocol entity configuration, and the first carrier is a carrier corresponding to a terminal device performing single carrier communication; and multicasting or broadcasting data corresponding to the first radio link control bearer entity established by the first radio link control bearer configuration on the first carrier. In the embodiment of the invention, the first terminal equipment can control the bearer entity through the first wireless link and use the first carrier to multicast or broadcast data to the receiving terminal equipment which does not support sidelink carrier aggregation according to the incidence relation between the bearer configuration and the first carrier according to the first wireless link, so that the sidelink communication quality is improved.

The invention relates to the technical field of live broadcast management, in particular to a digital intelligent live broadcast bullet screen supervision method and system. The method comprises the following steps: acquiring live broadcast bullet screen data and real-time live broadcast data; analyzing the live broadcast bullet screen data, and determining an abnormal bullet screen and an abnormal level of the abnormal bullet screen; performing risk assessment on the abnormal bullet screen in combination with the real-time live broadcast data, and determining a dynamic shielding judgment threshold value of the abnormal bullet screen; and comparing the abnormal level with the dynamic shielding judgment threshold, and determining a display strategy of the abnormal bullet screen according to a level comparison result. And in combination with the real-time live broadcast data, risk assessment is performed on the abnormal bullet screen, the dynamic shielding judgment threshold of the abnormal bullet screen is determined, and the high-risk scene recognition accuracy is improved. And comparing the abnormal level with a dynamic shielding judgment threshold, and determining a display strategy of the abnormal bullet screen according to a level comparison result, thereby reducing interference, retaining free expression of the user, reducing the complaint rate of the user, and inhibiting malicious screen refreshing diffusion.

The invention discloses an interactive behavior feature extraction method and device, equipment, a medium and a product, and relates to the technical field of computers, the method comprises the following steps: obtaining original live broadcast data generated in a live broadcast room, the live broadcast room comprising at least one interactive object; determining multi-modal live broadcast behavior data of the original live broadcast data in the target time window based on the multi-modal behavior data of the interactive object; dividing the multi-modal live broadcast behavior data into a plurality of behavior subsequences; based on the behavior data corresponding to the behavior subsequences, determining behavior cooperation features between the behavior subsequences, behavior interaction features between the interaction objects and time evolution features; and determining a target feature of the live broadcast room based on a fusion result of the behavior cooperation feature, the behavior interaction feature and the time evolution feature. By implementing the technical scheme of the invention, real-time modeling for the multi-behavior sub-sequence of the live broadcast room is realized, and the global feature of the live broadcast room level can be accurately extracted.

Embodiments of the present disclosure relate to a network of federated computing nodes in which a cost matrix is distributed. Each node has stored thereon distribution vectors, and create an optimal transportation transfer function using the Sinkhorn-Knopp theorem. In other words, the nodes are each configured to generate updated distribution vectors using the cost matrix shared amongst the nodes and their own distribution vectors. The updated distribution vectors of every node is thereafter used to create the optimal transportation transfer function by concatenating the updated distribution vectors received from each node. This approach can be centralized in a star-network architecture, or in a peer-to-peer-network architecture. Furthermore, the approach may be synchronous or asynchronous depending on the implementation.

The embodiment of the invention provides a wireless communication method, a system passive chip and a storage medium, and relates to the technical field of wireless communication, the method can be applied to a wireless communication system, and the wireless communication system comprises an excitation source, the passive chip and receiving equipment. The specific scheme is as follows: an excitation source generates a single-frequency carrier signal based on an anti-whitening technology, and sends the single-frequency carrier signal to a passive chip; the passive chip is excited by a single-frequency carrier signal, and generates a broadcast data packet based on the single-frequency carrier signal. The passive chip broadcasts the broadcast data packet, and the broadcast data packet conforms to a broadcast data packet standard in a Bluetooth low-power-consumption communication protocol. And the receiving equipment receives the broadcast data packet. According to the invention, a signal transmission system with low power consumption and high efficiency is constructed, dependence of a passive chip on a radio frequency source is avoided, and a wireless communication system is simplified.

The invention provides a wireless audio data transmission method, system and device, and particularly relates to the technical field of wireless audio, and the method comprises the steps: building a main broadcast communication link when being applied to a main device; establishing a corresponding slave broadcast communication link for each slave device in the one or more slave devices; and broadcasting a master broadcast data packet based on the master broadcast communication link in one of a plurality of continuous equal time intervals, and receiving a corresponding slave broadcast data packet based on the slave communication link corresponding to each slave device, the time slot for broadcasting the master broadcast data packet and the time slot for broadcasting the slave broadcast data packet in the same equal time interval are not overlapped with each other. Based on the setting, the master device can broadcast the master broadcast data packet, and each slave device can broadcast the corresponding slave broadcast data packet, so that a plurality of sending devices are supported to synchronously broadcast multichannel audio through a plurality of broadcast communication links, and a many-to-many interactive wireless communication function is realized.

The invention provides a live broadcast delay determination method and apparatus, and a terminal device. The method comprises the steps of determining a user type corresponding to a user watching a live broadcast; acquiring network parameters when the user watches the live broadcast; based on the user type and the network parameter, determining a delay parameter when the user watches the live broadcast, the delay parameter being associated with the delay when the user watches the live broadcast; and sending the delay parameter to a multimedia server, and receiving live broadcast data sent by the multimedia server based on the delay parameter.

The invention belongs to the technical field of communication, and particularly relates to a Bluetooth-based multi-user ad hoc network talkback implementation method, which comprises the following steps that: equipment to be networked initiates a networking request; the to-be-networked device sends a broadcast data packet to the surrounding device in a broadcast or scanning mode, and continuously scans the surrounding device; screening the equipment of which the parameters of the surrounding equipment accord with a preset connection condition as target networking equipment; establishing a communication channel connection between the to-be-networked device and the target networking device, wherein the communication channel comprises a data transmission channel and a voice transmission channel; performing connection quality evaluation on the communication channel by adopting a connection quality evaluation mechanism, generating an evaluation result, and adjusting networking connection according to the evaluation result; according to the scheme, through an innovative equipment discovery and connection strategy, an efficient networking protocol and topological structure, optimized voice transmission quality and dynamic connection management and optimization, the convenient, efficient and high-quality requirements of multi-person real-time intercom communication can be met.

The invention relates to the technical field of scheduling management, in particular to a scheduling management method and system based on live broadcast data, and the method comprises the following steps: based on live broadcast activity key data, including the number of viewers, comment frequency, like and sharing times and performance indexes of live broadcast personnel, the indexes include an interaction quality score, audience feedback information and a conversion rate; and executing data cleaning and integration processing to obtain a live broadcast data integration set. According to the invention, high-frequency updating and real-time analysis are carried out through live broadcast activity key data, so that the scheduling can be dynamically adjusted to meet the actual work requirements, and the ARIMA model is adopted, so that the prediction accuracy is enhanced, the scheduling decision has perspectiveness, the human resource allocation is optimized, and the scheduling efficiency is improved. And the clustering analysis helps to accurately identify the performance modes of different live broadcast personnel, and optimizes the working schedule according to the modes, thereby ensuring that the most suitable personnel are deployed in the time period with the highest audience activeness, and improving the employee satisfaction degree and the audience service quality.

The invention discloses a data transmission network optimization method and system for a low-altitude aircraft, and relates to the technical field of unmanned aerial vehicle network optimization, and the method comprises the steps: firstly starting the low-altitude aircraft, setting local communication parameters, and building an initial network registry; periodically broadcasting data by the aircraft, and creating a multi-layer network topological graph; link communication quality prediction is carried out, and relay node path adaptation optimization is carried out according to the link communication quality prediction; a relay node is selected according to an optimization result to establish a real-time data communication path; and finally performing data transmission management based on the selected node and path. The technical problems of poor communication stability, insufficient real-time performance and low data transmission reliability caused by single-dimensional evaluation, insufficient dynamic adaptability and low path optimization efficiency of a traditional communication network optimization method are solved, and multi-dimensional feature fusion, dynamic topology response and multi-target path optimization are achieved. And the technical effects of stability, real-time performance and data transmission reliability of a communication network of the low-altitude aircraft are further improved.