759 results about "Broadcast data" patented technology

The invention provides a private domain live broadcast data storage and visitor authentication method and system based on a block chain, and relates to the technical field of data storage and access control, and the method comprises the steps: collecting multi-mode biological characteristic data of a visitor, carrying out the feature extraction and fusion through a deep neural network of a space-time attention mechanism, and carrying out the authentication of the visitor; authenticity verification is carried out in combination with an adversarial generative network, a dynamic identity token is generated, and a hash value of the dynamic identity token is written into the block chain. The method comprises the following steps: performing semantic analysis on live broadcast data flow through a self-adaptive content perception model, constructing a double-layer access control matrix according to a data sensitivity level and a credibility score, performing self-adaptive fragmentation and hierarchical encryption based on federated learning, and then storing. After an access request is subjected to identity verification, an optimal edge node is selected according to access authority and network performance parameters to construct multi-path transmission, and a transmission strategy is generated based on a service quality score and a data sensitivity level. And when the service quality is lower than a threshold value, triggering the smart contract to perform fault migration.

The invention provides a private domain live broadcast peak hot spot prediction and content scheduling method based on deep learning, and relates to the technical field of private domain live broadcast, and the method comprises the steps: extracting multi-scale time sequence features in private domain live broadcast historical data through employing a hybrid memory enhanced neural network, a live broadcast peak prediction result is generated through a spatial pyramid attention module and a progressive feature distillation network, a dynamic heterogeneous graph neural network is constructed, multi-modal data features and hierarchical comparative learning are combined, a live broadcast content scheduling strategy is output through a multi-agent reinforcement learning framework, a bidirectional interactive evaluation network is constructed, and a live broadcast peak prediction result is obtained. And performing online optimization on the scheduling strategy according to the real-time live broadcast data by using a fast adaptation algorithm of meta reinforcement learning to obtain an optimal content scheduling strategy.

The invention provides a bandwidth regulation and control and visitor flow routing optimization method and system for multi-scene live broadcast, and relates to the technical field of intelligent routing, and the method comprises the steps: collecting live broadcast data, constructing a feature vector, and training a scene classification model; analyzing bandwidth requirements by using a time sequence prediction algorithm, and formulating a differentiated bandwidth allocation strategy; and an edge node load monitoring mechanism is established, a multi-target routing optimization model is constructed, and real-time scheduling optimization of visitor flow is realized. The method can effectively improve the bandwidth utilization rate and the user experience quality of the live broadcast platform.

The invention provides a live broadcast visitor flow prediction and route scheduling method and system based on a space-time sequence, and relates to the technical field of flow management and scheduling, and the method comprises the steps: building a live broadcast flow prediction network through collecting the flow data of a live broadcast room, and calculating the flow correlation degree through a deep learning model. When the flow change of the live broadcast room exceeds a threshold value, calculating propagation characteristics of the flow change based on the graph neural network, and generating a flow ripple propagation range matrix and a flow surge probability distribution matrix; and constructing a block chain network in the target area, and generating a data packet routing strategy by using an intelligent contract and lightning network technology. And the edge acceleration node receives the routing strategy to forward the data packet, and adjusts the transmission rate of the data packet based on an online reinforcement learning algorithm when the network is congested.

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 provides a virtual image control method, and the method comprises the steps: obtaining live broadcast interaction data of a live broadcast room, the live broadcast interaction data comprises live broadcast bullet screen data and anchor voice data, and the live broadcast room comprises a virtual image and an anchor; according to live broadcast bullet screen data, determining a target question to be replied, the live broadcast bullet screen data being sent by audiences in a live broadcast room; determining target interaction content according to the target to-be-replied question, wherein the target interaction content comprises reply content of the target to-be-replied question; target interaction data are determined according to the target interaction content, the target interaction data are used for displaying the target interaction content to audiences in the live broadcast room through a virtual image, and the target interaction data comprise target audio data and target video data; and adding the target interaction data in the live broadcast data of the live broadcast room. Therefore, interaction with the audience is realized through the virtual image, so that the interaction between the audience and the anchor can be responded in time, and the watching experience of live broadcast is improved. The invention further provides a corresponding device and related equipment.

The embodiment of the invention provides a commodity bullet screen display method. The commodity bullet screen display method comprises the following steps: receiving a live broadcast type notification and live broadcast data of a live broadcast room provided by an anchor terminal; and starting a retrieval function for the live broadcast data under the condition that the live broadcast type is that the commodity carries the goods. And under the condition that the retrieval function is started, performing semantic recognition on audio data in the live broadcast data to obtain commodity explanation content. And obtaining a keyword of the target commodity according to the commodity explanation content. And according to the interaction data of the live broadcast room and the keyword of the target commodity, obtaining commodity bullet screen data of the target commodity. And pushing the commodity bullet screen data of the target commodity to the audience terminal, so that the audience terminal displays the commodity bullet screen. According to the technical scheme provided by the embodiment of the invention, the real-time dynamic commodity bullet screen can be generated and displayed on the display interface of the audience terminal, so that the interaction efficiency and the display effect are improved, and the commodity bullet screen is effectively combined with the commodity perception and purchase behavior of the user on the target commodity.

Support for multicast and broadcast data transmissions and acknowledgement feedback for the transmissions are being considered in 5G new radio (NR). Resource allocation techniques are provided to allocate uplink control channel resources for acknowledgement of downlink multicast / broadcast (MC / BC) data transmissions. An apparatus, such as a user equipment, receives a multicast / broadcast (MC / BC) configuration indicating a first physical uplink control channel (PUCCH) resource set for transmitting MC / BC acknowledgment (ACK) / negative acknowledgment (NACK), and a unicast configuration indicating a second PUCCH resource set for transmitting unicast ACK / NACK feedback. The apparatus also receives MC / BC data from a base station. The apparatus determines a first PUCCH resource from the first PUCCH resource set for transmitting MC / BC ACK / NACK feedback in response to the received MC / BC data and based on the received MC / BC configuration. The apparatus transmits the MC / BC ACK / NACK feedback to the base station in the determined first PUCCH resource.

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 provides a live broadcast-based video processing method and device, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the steps that a video generation control corresponding to a target scene is displayed in a live broadcast recording interface, and the video generation control is used for generating a target video corresponding to a target event according to historical live broadcast data of the target scene; in response to a trigger operation for the video generation control, when live broadcast data corresponding to a target event exists in the historical live broadcast data, determining a video clip corresponding to the target event and live broadcast interaction information associated with the video clip, and combining the video clip with the live broadcast interaction information to generate a live broadcast interaction result; and generating a target video corresponding to the target event. Through the method and the device, the video of the target event can be quickly generated, the video generation process is simplified, and the man-machine interaction efficiency is improved.

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 provides an application layer capability assessment method, device and equipment of an Internet of Things satellite communication system, and relates to the technical field of Internet of Things satellites, and the method comprises the steps: transmitting an uplink instruction to a ground terminal in the Internet of Things satellite communication system; the uplink instruction is used for instructing the ground terminal to send uplink data to an on-orbit communication satellite when the on-orbit communication satellite in the Internet of Things satellite communication system passes; acquiring downlink broadcast data issued by the on-orbit communication satellite; and determining an application layer capability evaluation result of the Internet of Things satellite communication system based on the downlink broadcast data, the uplink data and the monitoring data corresponding to the ground terminal. The technical scheme of the invention does not depend on X-band earth station receiving data, but evaluates the application layer capability of the Internet of Things satellite communication system based on the uplink data sent by the ground terminal to the in-orbit communication satellite, the downlink broadcast data issued by the in-orbit communication satellite and the monitoring data corresponding to the ground terminal, so that the evaluation process is simplified, and the evaluation efficiency is improved. And the time cost is reduced.

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.