491 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 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 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 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 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 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.

The present invention relates to methods and systems for dynamically rendering interactive elements in a live broadcast. The method performed by an application server includes identifying chroma key areas in a live broadcast created by a creator and streamed to users via a live streaming interactive platform. The method includes obtaining an interactive element to be displayed in the chroma key areas based on user inputs from the creator and the users in the live streaming interactive platform, and live broadcast data. Further, the method includes rendering at least a portion of the interactive element in the chroma key areas based on an image fusion technique. The method includes rendering the live broadcast of the creator to the users upon post-processing of the interactive element, thereby enabling the users to view the interactive element rendered in the chroma key areas of the live broadcast.

The invention discloses a ship traffic intelligent prediction and cooperative guidance method and system based on NAVDAT communication, and the method comprises the steps: 1) collecting NAVDAT broadcast data, and carrying out the processing of the collected data, and obtaining a unified format tensor; 2) carrying out traffic state modeling and prediction, namely dynamically predicting the traffic density, berthing waiting time and potential congestion points of a specific water area based on a graph neural network and a sliding time window mechanism by fusing ship behaviors, task attributes and environmental factors; 3) according to the credibility level of the prediction result, constructing a differentiated information broadcast content packet, and broadcasting and pushing a recommendation strategy to multiple ships through an NAVDAT system to realize consistent guidance; and 4) optimizing ship response feedback, obtaining a response behavior of the ship to suggestions through ship-shore communication or indirect data acquisition, using execution deviation data for prediction updating and pushing mechanism optimization, and constructing a prediction-guidance-feedback-learning closed-loop optimization path.

The invention discloses an e-commerce live broadcast data drainage management optimization method and system based on big data, and relates to the technical field of live broadcast data management, and the method comprises the following steps: obtaining a user click behavior sequence, and carrying out the track matching of the sequence through employing a DTW algorithm, and obtaining a first abnormal traffic set; constructing a user feature matrix based on the first abnormal traffic set, and performing screening according to a clustering algorithm to obtain a second abnormal traffic set; constructing a graph model based on the second abnormal traffic set, and analyzing user ip region jump by using a Louvain algorithm to obtain a volume brushing community mark list; constructing a user conversion path set, and calculating a first probability value of each path based on the quantity brushing community mark list; screening the advertisement putting flow according to the first probability value to obtain an optimized drainage decision instruction; the problem of false traffic interference in existing live broadcast drainage management is solved, and the advertisement putting effect can be optimized.

The invention provides a cinema live broadcast optimization method and system based on big data analysis, and the method comprises the steps: firstly obtaining historical live broadcast big data of a target cinema, which comprises a plurality of live broadcast data streams composed of user film watching behavior records and live broadcast service state records, and then carrying out the multi-dimensional film watching feature extraction of the historical live broadcast big data, the method comprises the steps of obtaining real-time film watching features and service stability features, then performing dynamic strategy matching on the real-time film watching features and the service stability features based on a pre-trained dynamic optimization model, generating an optimization labeling result, obtaining a live broadcast service adjustment strategy according to the optimization labeling result, and synchronizing the live broadcast service adjustment strategy to a live broadcast service node in real time. The current live broadcast parameter configuration is adjusted according to the live broadcast service adjustment strategy, and finally, the parameters of the dynamic optimization model are updated according to the real-time live broadcast quality index acquired by the adjusted live broadcast parameter configuration, so that the dynamic optimization of cinema live broadcast is realized, and the live broadcast service quality is improved.

The invention provides a live broadcast data processing method and device, a computer readable medium and a program product. A specific embodiment of the invention comprises the following steps: carrying out time sequence alignment on live broadcast data of multiple modes in a time period to obtain multi-mode alignment data; determining live broadcast topics in a time period according to the multi-modal alignment data; determining respective group behavior characteristic data of at least one type of users participating in the live broadcast topic according to the multi-modal alignment data; and determining the health degree of the live broadcast process according to the group behavior feature data under the respective live broadcast topics in the plurality of time periods in the live broadcast process. According to the method, the live broadcast content and various types of users participating in the live broadcast process are accurately and comprehensively described in combination with the live broadcast data of multiple modes, an accurate and comprehensive data basis is provided for downstream tasks, and the health degree of the live broadcast room can be accurately determined.

The embodiment of the invention provides a continuous playing method and system for a multimedia data stream, a storage medium and an electronic device, and the method comprises the steps: transmitting a first data packet corresponding to the multimedia data stream to a mobile terminal when a first playing terminal plays the multimedia data stream, the mobile terminal uses the first data packet to generate a continuous playing instruction data packet required by continuous playing of a second playing terminal in the at least two playing terminals; analyzing a continuous playing instruction data packet sent by the mobile terminal to obtain a continuous playing instruction; generating a control signal according to the playing progress of the first playing terminal, cutting off a signal route of the first playing terminal by using the control signal, and obtaining a continuous playing data stream of the multimedia data stream according to the continuous playing address; and performing format conversion on the continuous playing data stream according to the playing format of the second playing terminal to obtain the target data stream, and playing the target data stream on the second playing terminal, thereby solving the problem of how to improve the continuous playing efficiency of the equipment in a multi-equipment switching playing scene in the related technology.

The invention relates to the technical field of information acquisition, in particular to a fire-fighting emergency broadcast data information acquisition system which comprises the following steps: performing sound source positioning analysis on original data to obtain sound source distribution data; performing sound propagation loss estimation according to the sound source movement track data to obtain sound propagation loss data; emergency broadcast coverage demand period reference simulation evaluation is carried out according to the sound propagation loss data to obtain period reference data; and according to a strategy gradient algorithm, an emergency broadcast putting strategy adjustment model is constructed through the environment correction data, and the emergency broadcast putting strategy adjustment model is sent to a fire-fighting command cloud platform so as to execute fire-fighting emergency broadcast data information acquisition and analysis. According to the method, the attenuation degree of the broadcast signals under different environment conditions can be analyzed through estimation of the sound propagation loss, data support can be provided for the actual broadcast propagation effect, the broadcast signals can be optimally delivered according to the environment conditions, and therefore effective transmission of the signals is ensured.