1002 results about "Broadcasting" patented technology

A method of controlling a broadcast receiver and which includes displaying a broadcast program on a screen of the broadcast receiver, determining if a broadcast-related information enlargement mode is selected, and enlarging the broadcast-related information on the screen of the broadcast receiver when the determining step determines the broadcast-related information enlargement mode is selected.

The invention belongs to the technical field of artificial intelligence and multimedia processing, and discloses a multi-modal content conflict resolution method based on modal time sequence dependence modeling, which comprises the following steps of: constructing a modal representation vector by unifying time, space, semantics and priority information of modeling modal contents; and further structuring and quantifying complex dependency and conflict relationships among different modal contents by utilizing a modal time sequence dependency graph, and constructing a context relationship by combining a graph neural network, so that the system can identify conflicts of the contents in time, space and semantic levels, and realizes self-adaptive content reordering and display configuration based on conflict scores. According to the method, the limitation of traditional single-dimension conflict detection is overcome, the accuracy rate and the coverage range of conflict identification are improved, the method can be widely applied to multi-modal content-intensive scenes such as intelligent media generation, AI broadcasting, virtual navigation and XR interaction, information shielding and semantic redundancy are reduced, and the interaction experience of users and the system content quality are enhanced.

The invention relates to the technical field of energy system control, and discloses a distributed cooperative fault-tolerant control method for a multi-energy-station cooling and heating system, and the method comprises the steps: enabling each energy station to measure and calculate a residual error based on a physical model and a sensor, forming a normalized health index, and carrying out the neighborhood broadcasting; carrying out robust anomaly judgment by utilizing a neighborhood median and a median absolute deviation, and isolating an abnormal site; cost coefficients are automatically generated for available sites according to equipment maneuverability, and control redistribution of minimum disturbance is solved and implemented through distributed consistency optimization; an exponential weighting updating mechanism of a residual error sequence is adopted to carry out online self-adaption on a noise baseline and a judgment threshold value so as to realize closed-loop self-calibration; when sensor abnormity, equipment errors or individual station faults occur in the multiple energy stations which work cooperatively, distributed rapid identification is achieved, faults are isolated, energy supply is redistributed with minimum disturbance, system control requirements are met, and equipment safety constraints are kept.

The invention relates to a multi-modal virtual human real-time generation method based on an expression control embedding space, and belongs to the field of artificial intelligence. According to the method, an expression control embedding space is constructed and used for fusing voice semantics, a rhythm structure and multi-dimensional emotion information, and continuous and controllable multi-modal driving vectors are generated. The whole system has an end-to-end linkage mechanism from audio input to expression and action output. Semantic features, rhythm structures and emotional states jointly act on generation paths of lip and upper body postures and expression modalities, and all modal features are fused and expressed in a unified control space through a collaborative coding and time sequence alignment mechanism. And finally, a high-consistency and high-fidelity virtual human video is generated in real time through an output scheduling mechanism. The method has remarkable advantages in the aspects of modal fusion consistency, generation expression naturalness and emotion control flexibility, and can be widely applied to key scenes such as virtual human broadcasting, voice interaction agency and meta-universe digital identity construction.

The invention discloses a method, a system and equipment for voice interaction inside and outside a vehicle and a storage medium, and relates to the technical field of intelligent cabins and human-computer interaction. Identifying an interaction trigger type (in-vehicle active request, out-of-vehicle passive request, or system active trigger) based on the perceived data and / or the vehicle event; determining a corresponding response permission strategy according to the trigger type, and determining whether to allow the system to respond based on the response permission strategy; and if so, calling a large language model to generate a voice text, synthesizing voice by combining external perception characteristics, and broadcasting the voice through a loudspeaker outside the vehicle or a sound box in the vehicle. According to the scheme, three types of interaction intentions including the in-vehicle active request, the out-vehicle passive request or the system active triggering are recognized, the large language model is called to generate the scene-adaptive voice text, and personalized voice synthesis and broadcasting are performed in combination with the external perception characteristics, so that the response efficiency, the expression naturalness and the object adaptability of the in-vehicle and out-vehicle voice interaction are improved.

The invention discloses an electronic contract signing method based on block chain evidence storage, and particularly relates to the technical field of electronic evidence preservation and intelligent contracts. Obtaining original data of the electronic contract and generating a hash abstract; setting a plurality of candidate block chain networks as evidence storage target chains; the transaction density index and the network propagation lag degree of each chain are collected in real time; inputting the parameters into a risk scoring model, and calculating a comprehensive risk score; executing a strategic broadcast operation according to a scoring result; monitoring a transaction confirmation state, and selecting a first block chain reaching a set confirmation number as a main storage certificate chain; when the evidence storage fails, under-chain supplementary evidence storage or re-broadcasting is triggered; according to the method, the chain state can be dynamically sensed, the optimal evidence storage path can be adaptively selected, the uplink success rate and the legal efficacy of the electronic contract are effectively improved, and the method has high disaster tolerance and cross-chain applicability and is suitable for scenes such as judicial, finance and government affairs with high evidence reliability requirements.

The invention provides a multi-level wake-up method and system based on a low-power-consumption wake-up protocol, a medium and a product, and relates to the technical field of intelligent voice recognition, and the method comprises the steps: triggering a first-level wake-up code broadcast module to broadcast a target wake-up signal through a target low-power-consumption wake-up protocol by using a received external trigger signal; obtaining a validity verification result obtained after the to-be-awakened device performs validity verification on the received target awakening signal, and determining whether the to-be-awakened device enters a low-power-consumption standby state or not according to the validity verification result; triggering a second-level voiceprint recognition module to monitor a target user in a preset distance range under the condition that the to-be-awakened device is determined to enter the low-power-consumption standby state, so as to collect a voice signal in the preset distance range; and obtaining a voiceprint feature matching result obtained after the second-stage voiceprint recognition module performs voiceprint feature verification on the collected voice signal, and judging whether to activate the to-be-awakened device or not according to the voiceprint feature matching result.

The invention discloses an earthquake early warning device and method based on campus broadcast, and the method comprises the steps: carrying out the building response coupling analysis through receiving an early warning signal of an earthquake monitoring center, generating an earthquake magnitude-building coupling feature, and mapping the earthquake magnitude-building coupling feature into an enhanced early warning source adaptive to an acoustic environment; acoustic cavity detection is carried out based on threatened area identification, and differential playing topology is constructed; extracting a high-risk gathering area through personnel density scanning, generating personalized evacuation guiding content and determining a playing priority; high-precision time sequence control is realized by adopting a synchronous reference anchor point technology, and a multi-mode playing domain is constructed through carrier modulation and frequency division multiplexing; and finally, an acoustic navigation field is utilized to guide accurate scheduling and playing of audio signals, differential playing and accurate coverage of early warning information can be realized according to the anti-seismic characteristics and acoustic environment characteristics of different buildings, and an intelligent acoustic solution is provided for campus earthquake early warning.

The invention discloses a voice broadcasting method and device for visually impaired passengers and a storage medium, and relates to the technical field of vehicle-mounted voice broadcasting. The scheme comprises the steps of obtaining environment data of an environment where a target vehicle is located; and generating voice broadcast information according to the environment data by using a large language model so as to introduce the environment of the target vehicle to visually impaired passengers taking the target vehicle. Therefore, the environment data is integrated into the voice broadcast information, so that the visually impaired passenger can know the riding environment based on the voice broadcast content, the visual information gap is filled, the travel control feeling is effectively improved, the unstable emotion caused by information loss is relieved, and the riding experience of the visually impaired passenger is remarkably improved.

The invention belongs to the technical field of crossing of satellite navigation and edge computing, and relates to a differential data broadcasting method based on edge computing, which comprises the following steps: accessing multi-source data through a dynamic data acquisition processing module, reducing noise, scheduling computing power through an edge node cooperative computing module, and fusing data to generate a differential factor; the spatio-temporal characteristic difference generation module generates adaptive difference data in combination with spatio-temporal and environmental parameters, then the intelligent broadcast resource management and control module selects channels and performs layered coding broadcast, the system health degree management module guarantees stability, the cross-domain collaborative application interface module adapts to multiple scenes, and after the system is started, all the modules operate in sequence, data are collected and processed firstly, and then the data are transmitted to the intelligent broadcast resource management and control module. And then generating factors through cooperative calculation, generating adaptive differential data, intelligently broadcasting the adaptive differential data, monitoring and maintaining the adaptive differential data by a health degree module, and finally docking each application scene through an interface module to realize high-precision positioning service.

The invention relates to the technical field of communication, and discloses an access point, terminal equipment and a short-distance communication time synchronization method and system.The access point equipment and the terminal equipment each comprise a baseband signal processing unit, a radio frequency unit, an antenna, a global time counter and a clock compensation module. The time synchronization method is executed by a target terminal: receiving a beacon frame broadcasted and sent by an access point; calibration information is embedded in the beacon frame, and the calibration information comprises timestamp information and a transmitting power parameter; calculating actual propagation delay of the access point and the target terminal based on the timestamp information; calculating target propagation delay of the access point and the target terminal based on the transmitting power parameter; calculating a delay error between the actual propagation delay and the target propagation delay; and calibrating the clock skew of the target terminal based on the delay error. The time, frequency and link calibration of the access point and the target terminal can be completed by using the one-way time broadcast, and the calibration precision is high.

The invention belongs to the technical field of network live broadcast, and particularly relates to a multi-live-broadcast-room matrix cooperative control system and a control method, a global unified clock reference system is established, and a public time axis covering all participating nodes is generated in a distributed calibration mode, so that audio and video streams of all live broadcast rooms are collected and played based on the same time reference, and therefore, the collection efficiency is improved. The synchronization deviation caused by clock drift is fundamentally eliminated; and a dynamic topology sensing type transmission network is further constructed based on the public time axis, each node periodically detects a link state and generates a score, an optimal transmission path set is generated in real time, and adaptive scheduling of data streams is realized. Therefore, accurate alignment of multiple paths of media streams in the time dimension is ensured, the end-to-end transmission delay is remarkably reduced, the audio and video synchronization precision and transmission stability in a cross-live-broadcasting-room interaction scene are effectively improved, and the overall audio-visual experience of a user is improved.

There is provided a Cluster Controller, CC, configured to control memory access by a cluster of multiple processing units or processing elements, PEs, to a common Cluster Memory, CM, shared by the processing elements within the cluster. The Cluster Controller is configured to receive requests, referred to as cluster broadcast requests, from at least a subset of the multiple processing elements within the cluster for broadcasting of data from the common cluster memory to said at least a subset of the multiple processing elements. The Cluster Controller is configured to initiate broadcasting of data in response to the received cluster broadcast requests only after broadcast requests have been received from all processing elements of said at least a subset of said multiple processing elements that are participating in the broadcast.

The invention relates to the technical field of field operation safety management, and discloses a field operation personnel safety assessment method based on network data acquisition and positioning, which comprises the following steps: dynamically selecting an anti-interference mode by a multimode positioning technology to obtain positioning data, correcting track offset caused by terrain reflection interference by combining a track prediction model, and calculating the safety of field operation personnel. A signal enhancement node is utilized to construct an ad hoc network to optimize data transmission, a safety evaluation model fused with a topographic slope trend is established for purified positioning data, parameters such as a speed threshold and a safety judgment threshold are dynamically adjusted by detecting surrounding obstacle distribution in real time, and when a safety state is abnormal, the positioning data are subjected to safety evaluation. And generating an optimal risk avoiding path based on the terrain trafficability network, and synchronously starting three-channel emergency broadcast of the cellular network, the wireless talkback and the node relay. According to the method, the complex terrain positioning precision and the anti-interference capability are improved, the data transmission reliability is enhanced, dynamic risk assessment and early warning are realized, and the emergency response efficiency and the rescue success rate are improved.

The invention relates to the technical field of computer vision and intelligent monitoring, and particularly discloses a multi-scene voice alarm system based on video AI behavior analysis. The system comprises a video acquisition and preprocessing module, a multi-mode environment perception module, a core AI behavior identification and scene understanding module, a dynamic alarm strategy generator and a programmable voice synthesis and broadcast control module. According to the system, the alarm volume and content details are dynamically adjusted by sensing environmental noise and scene personnel density in real time, and the behavior position and the scene structure are fused to generate alarm information with path guidance, so that full-dimension adaptive optimization of the alarm volume, the content and a broadcast strategy is realized; and the audibility, the pertinence and the field response efficiency of the alarm information are obviously improved.

The invention provides a news broadcasting method based on artificial intelligence and a related device. The method comprises the following steps: acquiring text information and chart information corresponding to target news; performing information processing on the character information and the chart information to obtain a target broadcast text and corresponding target feature information; analyzing the target feature information to obtain a reference content attribute and a reference broadcast emotion; determining a target broadcast style according to the reference content attribute and the reference broadcast emotion; obtaining a target broadcast demand of a target user; performing voice synthesis on the target broadcast text based on the target broadcast style and the target broadcast demand through a preset AI broadcast model to obtain a target broadcast voice; and in response to a voice broadcasting operation of the target user, broadcasting with the target broadcasting voice. The picture and text information of the news is processed, and the adaptive voice is synthesized through the AI broadcasting model in combination with the personalized requirements of the user, so that the news broadcasting quality is improved.

The invention discloses a 3D (three-dimensional) perimeter security system and an operation method thereof, the system comprises a server terminal, a front-end sensing system, a data transmission system and a central control system, the front-end sensing system is networked in multiple groups of partitions, and each group of partitions of the front-end sensing system is provided with a nine-axis sensor, an edge computing all-in-one machine and a switch; and lighting, wind and rain sensor, broadcasting, microwave radar and camera equipment. The data transmission system transmits data; the central control system comprises an application server and a data server. The system forms a first defense line for active detection of the microwave radar and the camera and a second defense line for vibration sensing of the nine-axis sensor, and a monitoring blind area is eliminated through three-dimensional data fusion. The operation method comprises four groups of subsystem modules. According to the method, 'sky-ground-fence 'dead-corner-free monitoring is realized, the false alarm rate is reduced by combining multi-modal data fusion with an intelligent algorithm, self-evolution is realized by edge-cloud federal learning, and threat disposal efficiency is improved by automatic linkage response.

The invention discloses a tensor extension calculation method and device based on TPU, a medium and a product, and relates to the technical field of chips, and the method comprises the steps: analyzing a tensor extension request, and obtaining the first dimension information of an original tensor and the second dimension information of a target tensor; determining a tensor expansion demand according to the first dimension information and the second dimension information; according to the tensor expansion requirement, data, needing to be subjected to dimension expansion, in the original tensor is carried to a control memory or a vector memory from a high-bandwidth memory of the TPU, and in combination with a tensor broadcasting mechanism on the TPU, target tensor data is formed and stored in the high-bandwidth memory again through parallel processing of all the core computing units. According to the technical scheme of the embodiment of the invention, a tensor extension algorithm capable of accurately adapting to TPU hardware features is provided, so that the TPU native supports the extension calculation of the tensor dimension, the blank of the TPU function is filled, and the calculation parallelism and the transmission efficiency in the tensor extension calculation are improved.

This application provides a network configuration method, a communication apparatus, and a related device. In the method, a network device determines a configuration manner of a plurality of supplementary uplink carriers used for uplink transmission, and processes the plurality of supplementary uplink carriers in the configuration manner. That the network device processes the plurality of supplementary uplink carriers in the configuration manner includes: skipping broadcasting information about the plurality of supplementary uplink carriers; or broadcasting information about the plurality of supplementary uplink carriers by using one piece of remaining minimum system information RMSI; or broadcasting information about any one of the plurality of supplementary uplink carriers by using one piece of remaining minimum system information RMSI. It can be learned that in this method, the plurality of SUL carriers may be configured, so that an SUL carrier capacity can be increased. In addition, the network device may not broadcast information about one or more SUL carriers or may broadcast information about one or more SUL carriers by using only one SSB or one piece of RMSI, so that system overheads are reduced, thereby improving uplink / downlink throughput.

The present application relates to the technical field of power communication of Internet of Things, and discloses a remote software upgrading method and system based on HPLC high-speed power line carrier network; the remote software upgrading method is applied to a software upgrading device and specifically comprises the following steps: S101: obtaining a master node of software to be upgraded; the master node completes an encrypted upgrading instruction package through HPLC network broadcasting; if the master node is in an offline state, a response is triggered through a power line power frequency cycle synchronization wake-up pulse signal to ensure that all network nodes complete instruction synchronization within a preset time. The present application realizes all-around upgrading optimization through three core technologies of dynamic fragmentation transmission, millisecond-level service continuity guarantee and resource limit adaptation; an adaptive fragmentation strategy (128KB-512KB) based on a signal-to-noise ratio compresses a packet loss rate in a high-noise environment to 0.1%; combined with multi-path concurrent transmission and a breakpoint resume protocol, average transmission time is reduced from 30 minutes to 17.4 minutes; and a power frequency synchronization wake-up mechanism is used to realize 300ms network-wide instruction synchronization.

The invention discloses an automatic broadcasting method and system for a vehicle-mounted advertisement publishing platform program. The method comprises the following steps: collecting advertisement publishing related information submitted by a client; judging the main type of the current person in the vehicle according to the collected vehicle position; a machine learning algorithm is adopted to train an automatic broadcasting model, the processed parameters and historical broadcasting data are used as first input during training, and the position information and the time period of the vehicle and the number and the type of people in the vehicle are used as second input, so that the automatic broadcasting model can broadcast according to the advertisement release related information; meanwhile, dynamic adjustment is carried out according to the current requirements of people in the vehicle; and the automatic broadcasting model automatically generates a detailed advertisement broadcasting plan according to parameter requirements of clients. According to the invention, the vehicle-mounted advertisement broadcasting efficiency can be improved, and broadcasting adjustment can be carried out in real time according to the type of the current person in the vehicle, so that the currently played advertisement can meet the needs of the current person in the vehicle, and the advertisement putting accuracy is improved.

The invention relates to the technical field of AI intelligent calculation, in particular to a broadcast content real-time analysis interaction method and system based on an AI multi-modal large model, and the method comprises the steps: achieving the precise event recognition and structural description through the efficient modeling of single-modal real-time data, and providing the standardized input for the subsequent content generation; then, broadcast texts meeting object features and scene requirements are generated based on event information and global static audience feature configuration, and quantified semantic priorities are calculated to support strategy decision; on the basis, performing deep intention recognition on the generated content by utilizing multi-modal large model reasoning, introducing targeted parameters such as historical broadcast diversity punishment and interference sensitivity adjustment, and generating an executable scheduling strategy; and finally, through area matching and terminal capability verification, mapping the strategy parameter into a specific equipment control instruction, and issuing and executing the specific equipment control instruction to form a closed loop from content generation to precise broadcasting.

The invention provides a digital human question-answering system, and the system comprises a voice receiving and processing module which is used for receiving the voice input of a user in real time, splitting the input voice, extracting the acoustic features of each frame of voice in real time, and caching the acoustic features of continuous frames to form a streaming data queue; the voice feature reasoning module is used for inputting the streaming data queue into a pre-training question and answer model and outputting a question and answer text result and a voice synthesis instruction in real time; and the digital human synchronous driving module is used for generating a synchronous voice signal based on the question and answer text result and the voice synthesis instruction, mapping the synchronous voice signal to a mouth shape mapping library and an action template library, generating a mouth shape sequence and a limb action sequence matched with the voice time sequence, and completing digital human broadcasting. According to the method, user text or voice input is received, the question and answer result is returned after model reasoning, and the digital person is driven to complete voice broadcasting.

The invention discloses a user interaction system and method based on a digital human, and the system comprises a data acquisition module which is used for collecting user voice data; the dynamic judgment module is used for calculating and obtaining a voice detection threshold value through a dynamic threshold value model based on the user voice data, and judging whether an interruption mechanism is triggered or not; the voice recognition and analysis module is used for converting the voice data of the user into text information and acquiring potential intentions of the user; the knowledge graph matching module is used for generating a response text according to the potential intention of the user and performing interaction through a digital human; the semantic matching module is used for judging whether a secondary interruption mechanism is triggered or not; and the information recording module is used for recording the current broadcasting progress and the key information. Effective interruption and mistaken interruption can be intelligently distinguished, blind pause of broadcasting or missing of customer requirements is avoided, and interaction fluency is greatly improved; and secondary interruption judgment satisfies interaction habits of different clients, and can recover from a logic node after interruption, so that the service efficiency is improved.

The invention relates to the technical field of audio playing, and discloses a multi-channel audio linkage playing device based on Bluetooth broadcast and an implementation method, and the device comprises an audio input module, an audio channel switching module, a Bluetooth audio processing broadcast module, a modal perception cooperative control adjustment module, a DSP audio personalized processing module and an audio output module. According to the invention, core limitations of traditional audio equipment in input adaptation, multi-equipment cooperation and experience dimensions can be effectively broken through, flexible access and stable processing of multiple types of audio sources are realized, and synchronous cooperative playing of multiple Bluetooth equipment is achieved to construct an immersive audio environment; and meanwhile, audio experience is extended from single hearing to double sensory linkage of hearing and touch, so that the adaptability, the collaboration and the experience richness of the audio equipment in multiple scenes are greatly improved on the whole, and the diversified and high-quality audio use requirements of users are comprehensively met.

The invention discloses an urban waterlogging resident emergency evacuation path guiding method for a smart community, and relates to the technical field of smart cities and emergency management. The method comprises the following steps: firstly, constructing a community digital twinborn base fusing geographic information, building information, Internet of Things sensing data and a hydrodynamic model; dynamic inversion and prediction of the waterlogging situation are realized by assimilating a multi-source observation data driving model; calculating the space-time dynamic risk of the evacuation road network based on the prediction result, and generating a risk map; calculating a space-time evacuation scheme including optimal departure time and a specific path sequence for residents or families by combining resident personalized constraints and adopting a double-layer optimization model combining macroscopic flow distribution and microscopic path planning; finally, instructions are issued through multiple channels such as an intelligent terminal and broadcast, and dynamic adjustment is performed based on real-time monitoring, so that accurate perception, prospective prediction, personalized planning and collaborative guidance of waterlogging evacuation are realized, and the overall efficiency of community emergency evacuation is effectively improved.

Disclosed are systems, methods, and computer program products for improving establishment and broadcasting of communication among mobile computing devices. An exemplary method includes: determining a first user accesses a mobile application on a first mobile device of the first user; determining a second user accesses the mobile application on a second mobile device of the second user; transmitting first content from the first user to the second user; receiving, from the second user, a first action associated with the first user; transmitting second content from the second user to the first user; receiving, from the first user, a second action associated with the second user; generating a communication channel for interaction between the first user and the second user; determining a third user accesses the mobile application on a third mobile device of the third user; and transmitting third content from the third user to the second user.

The invention relates to a ship traffic control system, in particular to an MMSI duplicate number detection method and system based on AIS message broadcast frequency, and the method comprises the steps: continuously receiving AIS dynamic messages on a time sequence, and carrying out the analysis of the AIS dynamic messages to obtain MMSI and message IDs; each MMSI stores a certain number of dynamic messages; judging the validity of the dynamic message; calculating the time difference of the adjacent dynamic messages for the effective messages and filtering out abnormal values; calculating an average value according to the reserved time difference and an arithmetic average value of the average value deviation, if the absolute value of the obtained result is not greater than 26.67 ms, judging that the MMSI is normal, otherwise, judging that the MMSI is abnormal and performing further duplicate number verification; the system comprises a memory and a processor, and the processor is used for calling and running the instruction from the memory and executing the duplicate number detection method.

The present invention pertains to the field of train positioning and communication for rail transit signaling systems, and relates to an integrated rail transit positioning and communication method and system, a device, and a medium. The present invention is aimed at modifying and redesigning a frame format of a secondary surveillance radar, and achieves train positioning for signaling system control purposes by means of time-division multiplexing of a communication frame and a positioning frame, performing ranging between a plurality of vehicle-mounted tags and ground base stations, and querying a built-in electronic map. In addition, the present invention provides three train-to-ground methods, i.e., positioning frame-based point-to-point communication, communication frame-based broadcasting, and communication frame-based point-to-point communication, to enable train control information interaction between a train and a control center, and thereby achieve communication and positioning integration. Compared with the prior art, the present invention provides a standby communication positioning system for a rail transit signaling system, which improves signaling system communication and positioning reliability, and switches to an active system when the signaling system fails, thereby ensuring the normal operation of a train operation control system.

The invention provides a smart education recording and broadcasting network transmission quality optimization method and system based on AI prediction, and relates to the technical field of smart education, and the method comprises the steps: monitoring and collecting network performance parameters of a source node, an intermediate routing node and a destination node in a recording and broadcasting transmission path in real time; performing dynamic aggregation analysis on the multi-node quality parameters, establishing a logic association relationship reflecting a global transmission condition, and outputting a comprehensive evaluation result of a network quality change trend; and inputting a quantitative evaluation result into a trained AI time sequence prediction model, predicting a network anomaly occurrence probability and type in a future time window, and obtaining a transmission strategy optimization instruction containing routing adjustment, code rate adaptation and a resource reallocation strategy. According to the method, the problems of jamming, disconnection and audio and video dislocation of remote ballast correction under a time period traffic peak are solved.