190results about How to "Improve bandwidth utilization" patented technology

The invention discloses a cloud edge cooperative control method, which comprises the following steps: establishing a cloud edge cooperative architecture, collecting data by edge nodes, and selecting a corresponding data compression strategy to compress the data; generating an edge-cloud collaborative uploading data stream; the cooperative control layer executes adaptive load balancing based on a cloud-side node state, task characteristics and a network condition which are monitored in real time so as to realize task allocation and scheduling between the cloud and the side; the cloud receives the data stream transmitted by the edge node, decompresses and processes the compressed data according to the metadata information, completes the task and feeds back an execution result; a node performance prediction model is constructed by using system state monitoring information, a task allocation strategy and a resource allocation and data compression strategy are adjusted in real time according to a prediction result, and cloud-side collaborative optimization is realized. Efficient data transmission, flexible task scheduling and self-adaptive resource management are realized, and the performance of the system in a complex and changeable environment is comprehensively improved.

The invention discloses a communication transmission control cabinet based on big data, and relates to the technical field of communication transmission, and the control cabinet comprises the steps: introducing a real-time network state perception and prediction module, collecting the data of a link through an embedded sensor, carrying out the prediction through combining with an LSTM time sequence model, carrying out the estimation of a future link state, introducing a multipath transmission mechanism, and carrying out the real-time network state perception and prediction. When tasks are distributed, bandwidth, delay and load conditions of paths are synthesized, batch uploading is performed through caching and compression strategies of edge computing nodes, occupation of links is effectively reduced, when link performance is reduced, a path switching mechanism can select alternative paths with optimal performance in real time, influences of link interruption on communication tasks are avoided, and meanwhile, the communication efficiency is improved. According to the high-real-time task priority strategy, an optimal path is adopted, delay of key tasks is reduced, non-real-time tasks are compressed and processed in batches at edge nodes, resources are not competed with real-time tasks, interference is avoided, and the requirements for ship navigation and real-time monitoring tasks are met.

The invention discloses a dynamic traffic scheduling method and system based on an SD-WAN technology, which can timely discover potential problems in a network by monitoring performance parameters of network links and nodes in real time, and can effectively relieve network congestion and improve the overall network performance based on analysis of the performance parameters and dynamic adjustment of network routing and bandwidth allocation strategies. According to the method, a high-flow time period, a low-flow time period and key service flow are identified, so that the distribution of network resources is more reasonable and efficient, the adjusted network performance is evaluated in real time, the expected effect of each adjustment can be ensured, and if the performance does not reach a preset standard, the scheduling strategy is continuously optimized, and the scheduling efficiency is improved. According to the technical scheme, the method is beneficial to adapting to rapidly changing network environments and service requirements, the stability and reliability of the network are enhanced, the network states, scheduling strategies and performance evaluation results before and after adjustment are recorded in logs, and operation and maintenance personnel can rapidly position network problems by analyzing log data, so that the operation and maintenance efficiency and accuracy are improved.

The invention discloses a tunnel crack detection method and a tunnel crack detection system, and belongs to the field of tunnel safety detection.The tunnel crack detection method comprises the steps that a tunnel inspection robot is utilized to conduct inspection in a tunnel to obtain complete three-dimensional data in the tunnel so as to construct a three-dimensional map in the tunnel, and the position of each crack area in the three-dimensional map is determined; determining an inspection tour area corresponding to each crack area and executing path planning, and generating an optimal inspection tour path of the unmanned aerial vehicle; the optimal inspection path enables the unmanned aerial vehicle to sequentially pass through each inspection area and then leave the tunnel after entering the tunnel under the condition that obstacle avoidance conditions are met, and the total time is shortest; enabling the unmanned aerial vehicle to move according to the optimal inspection path, and scanning the crack region by using the depth camera when the unmanned aerial vehicle moves to one inspection region so as to obtain fine three-dimensional data of the crack region; and performing analysis processing on the fine three-dimensional data of the crack area to complete tunnel crack detection. According to the invention, the efficiency and precision of long tunnel crack detection can be improved.

The invention relates to the technical field of data processing, in particular to a data transmission method and system for industrial edge gateways, and the method comprises the steps: obtaining industrial production equipment data, constructing a data queue, and obtaining the busy degree of each edge gateway based on the operation data of the data queue; according to the busy degree of each edge gateway, obtaining transmission results after the different data queues are transmitted to the cloud server, and calculating feedback rewards transmitted by the edge gateways by selecting the different data queues; and on the basis of the feedback rewards, using a UCB algorithm to calculate the confidence coefficient of each queue for transmitting data to the cloud server, and adjusting the data queue through which the edge gateway passes when transmitting the data to the cloud server according to the confidence coefficient. According to the method, the data transmission strategy is dynamically adjusted by monitoring the busy degree of the edge gateway and the transmission result of the data queue in real time, and rapid changes of task frequency, data volume and network conditions are better adapted, so that the data transmission efficiency is improved.

The invention discloses a computing power aware routing distribution method and system based on SRV6, and the method comprises the steps: constructing a network topology undirected graph based on a target distributed cluster; in response to the service request, obtaining real-time resource state data of each node in the target distributed cluster, and analyzing the service request to obtain resource request data; matching each node in the network topology undirected graph with the resource request data to obtain a target node; calculating an optimal path from the source node to the target node in the network topology undirected graph by using an improved Di jkstra algorithm; and according to the optimal path, configuring a corresponding routing rule in the target distributed cluster through an SRV6 network programming technology. According to the method provided by the invention, the problem of insufficient computing power resource routing distribution flexibility is solved.

The invention provides a multi-center medical equipment big data cloud platform based on a cloud-edge-end architecture. The multi-center medical equipment big data cloud platform comprises a cloud computing layer, an edge computing layer and a terminal equipment layer, the cloud computing layer comprises a data storage and management module, a data analysis and machine learning module and a data sharing and interaction module; the edge computing layer comprises a plurality of edge computing devices, and the edge computing devices are located in a hospital and are in communication connection with the cloud computing layer; the terminal equipment layer comprises a plurality of terminal equipment, the terminal equipment comprises medical detection equipment, intelligent diagnosis and treatment equipment and wearable equipment, and the terminal equipment is in communication connection with at least one edge computing equipment. The cloud-edge-end architecture has good expansibility, computing nodes or storage resources can be dynamically increased according to requirements, the cloud-edge-end architecture adapts to continuously increasing medical data volume, and sustainable development and efficient operation of the platform are guaranteed.

The invention discloses a chip particle interconnection interface protocol layer circuit compatible with a CHI protocol and a chip, and the chip particle interconnection interface protocol layer circuit comprises a transmitting unit and a receiving unit which are connected with an adapter layer and a physical layer in a protocol layer. The sending unit comprises a sending end virtual channel management module, a sending buffer unit and a packaging module which are connected in sequence, and the sending buffer unit is used for caching micro-packets of all channels and respectively comprises a request-monitoring sending buffer, a response sending buffer, a test sending buffer and a data sending buffer which are parallel; the receiving unit comprises an analysis module, a receiving buffer unit and a receiving end virtual channel management module which are connected in sequence, and the receiving buffer unit comprises a request-monitoring receiving buffer, a response receiving buffer, a test receiving buffer and a data receiving buffer which are parallel. The invention aims to enable the core particle interconnection interface to be compatible with the CHI protocol, so that the core particles realized by the ARM architecture can realize consistent interconnection through the CHI protocol.

The invention relates to the technical field of information transmission, in particular to a wireless data transmission system and method based on 5G communication. The method comprises the following steps: acquiring 5G communication data of an industrial park and carrying out park unit communication demand analysis to obtain industrial park unit communication demand data; performing virtual slice priority redistribution according to the industrial park unit communication demand data to obtain optimized virtual slice priority data; performing dynamic resource sharing strategy analysis according to the optimized virtual slice priority data to obtain an industrial park communication resource dynamic sharing strategy; acquiring real-time industrial park 5G communication data and performing unit communication transmission time delay evaluation so as to obtain unit communication transmission time delay data; and carrying out dynamic sharing time sequence optimization on the dynamic sharing strategy of the industrial park communication resources based on the unit communication transmission time delay data so as to obtain an optimized dynamic sharing strategy of the industrial park communication resources. The bandwidth utilization rate of the network can be improved.

The invention relates to the technical field of computers, and discloses a host firewall software strategy collection and analysis method. The method comprises the steps of S1, deploying acquisition agents in a distributed manner, and acquiring policy data of a host firewall; s2, carrying out standardized analysis and storage on the collected data; s3, uploading the standardized strategy data to a central management node through an incremental synchronization mechanism; s4, constructing a rule dependency graph based on the rule data at the central management node; and S5, performing conflict detection and redundancy analysis on the host firewall rule by using the rule dependency graph. Priority conflict, coverage conflict and mutual exclusion conflict detection is performed on the rule set through the rule dependency graph, the priority conflict detection ensures the execution logic consistency of the rule, the coverage conflict detection reduces the redundant execution of the rule, and the mutual exclusion conflict detection avoids the rule combination of logic contradictions. And through systematic conflict detection, the execution accuracy and reliability of the rule set are remarkably improved.

The invention relates to the technical field of internet of things equipment power consumption optimization methods, in particular to an internet of things equipment power consumption self-adaptive optimization method and system based on edge computing, and the method comprises the following steps: firstly, collecting historical operation data of different edge computing equipment, including but not limited to resource utilization rate, power consumption and network bandwidth; then, learning the historical operation data by using an improved multi-target deep reinforcement learning algorithm to obtain an equipment model; thirdly, predicting the optimal power value of the equipment through the equipment model; then, comparing the optimal power value with the actual operation power value of the current equipment, and when the optimal power value is inconsistent with the actual operation power value, sending an optimization instruction to the edge computing equipment; and finally, adjusting the parameter value of the edge computing device according to the optimization instruction to realize self-adaptive optimization of the power consumption of the device, so that the power consumption can be obviously reduced under various load conditions, and the task completion rate and the system response speed can be improved at the same time.

The invention discloses a network flow directional transmission optimization method, and relates to the technical field of data transmission. Comprising the following steps: establishing a regional priority model based on regional distribution, dynamically adjusting a network link, deploying multi-level cache nodes, determining isolation and multiplexing rules of data traffic, coordinating network resource allocation, establishing a feedback mechanism, and constructing an energy-aware transmission scheduling strategy. According to the network traffic directional transmission optimization method, the flexibility and the accuracy of network traffic scheduling are remarkably improved by setting the combination of a regional priority model and a dynamic link reconstruction mechanism, the transmission efficiency of key service traffic can be guaranteed preferentially, and the network traffic directional transmission optimization method can be used for optimizing the network traffic through real-time link optimization and load prediction. And performance reduction caused by network congestion is avoided. And meanwhile, the low-priority flow is effectively managed, and the reasonable distribution of global network resources is realized. In practical application, the method can greatly reduce the network delay, improve the bandwidth utilization rate and improve the user experience.

The invention relates to a block chain-based power Internet of Things terminal security access method and system. The method comprises the following steps of S1, dividing a virtual local area network; s2, deploying an SDN controller to manage and control network traffic; s3, performing decentralized identity recognition by using a block chain, and executing an automatic identity authentication process by using a smart contract; s4, carrying out preliminary identity verification based on the certificate, and carrying out secondary authentication in combination with the biological characteristics and the position information of the Internet of Things equipment; s5, performing uplink according to the critical degree, generating a unique fingerprint of the data by using a hash function, and storing the unique fingerprint in a block chain to ensure data integrity and prevent tampering; and S6, applying a strong encryption algorithm in a transmission layer and a data storage process to ensure data security and realize a homomorphic encryption technology, so that data operation is performed in an encryption state, and privacy is protected. According to the invention, the efficiency and security of terminal access are improved, and comprehensive protection and flexible management of the network and data are realized through the block chain and SDN technology.

The invention relates to the technical field of power line communication, in particular to a distributed power line communication data management system based on a block chain, in the invention, through innovative application of a convolutional neural network in an error repair module, accurate coding correction and rapid repair of error bits are realized, the integrity and effectiveness of data transmission are ensured, and the data transmission efficiency is improved. The method provides higher accuracy and adaptive capacity when reading and repairing bit streams bit by bit, deals with various error types in a complex communication environment, efficiently repairs error data packets in communication, and dynamically monitors and analyzes the signal-to-noise ratio and the error rate of a channel through the use of a finite-state machine, so that the error rate of the channel is effectively reduced, and the error rate of the channel is effectively reduced. The transmission strategy is adjusted in time when the channel state changes, so that the communication process is kept stable and efficient, the efficient transmission strategy is automatically generated according to the change of the channel state, the waste of channel resources is reduced, the bandwidth utilization rate is improved, and the data transmission failure caused by the unstable channel is avoided.

The invention relates to the technical field of high-speed routing, and provides a bandwidth scheduling method and system for high-speed routing switching, and the method comprises the steps: carrying out the distribution of each port of high-speed routing switching equipment according to the network flow, and analyzing the initial bandwidth value of each port based on a distribution result; the bandwidth monitoring module is used for monitoring the real-time bandwidth use condition of each port of the high-speed routing switching equipment to obtain a bandwidth allocation result; and the flow scheduling module is used for generating a flow scheduling strategy based on the bandwidth allocation result, inputting the flow scheduling strategy into the flow scheduling module for configuration, comparing the flow scheduling strategy with the real-time bandwidth use condition monitored by the bandwidth monitoring module to obtain a bandwidth scheduling comparison result, and inputting the bandwidth scheduling comparison result into the bandwidth scheduling optimization module for bandwidth scheduling optimization. By dynamically configuring the traffic scheduling strategy, efficient utilization of bandwidth resources and optimal management of network traffic are realized, and the problems of low bandwidth utilization rate, resource waste and other flexibility insufficiency when the network traffic fluctuates greatly are solved.

The invention relates to the technical field of data center management, and discloses a prefabricated cabin type data center monitoring system, which comprises a data acquisition module arranged in a prefabricated cabin and used for acquiring environment data, electric power data and IT equipment operation state data in the cabin, converting the acquired data into a standardized data format, and transmitting the standardized data format to a server through a protocol conversion interface; and uniformly converting the acquired data of different communication protocols into a preset standard data format. A data cleaning and compression mechanism is designed in an edge calculation module, collected environment data, power data and IT equipment operation state data are preprocessed in real time, abnormal data are rapidly judged based on set upper and lower limit values, the abnormal data are marked as alarm data and are preferentially transmitted to a subsequent module, transmission of invalid data is reduced, and the efficiency is improved. The network bandwidth utilization rate is improved, rapid fault detection and response are realized, and the fault diagnosis and repair time is shortened.

The invention provides a transmission analysis method and device for a data packet with a timestamp, and the method comprises the steps: a data source end and a data destination end carry out the verification through a heartbeat message, and if the verification succeeds, the data source end carries out the compression processing of a to-be-transmitted original data packet, and then carries out the IP packaging, thereby obtaining a first packaging message; and if the verification is not successful, the data source end compresses the original data packet to be transmitted and then carries out UDP encapsulation to obtain a second packet. According to the method, the historical data is replayed from the data source end to the destination end for data analysis, accurate timestamps are carried, association analysis of the destination end is facilitated, the problem of fragmentation caused by too large data packets in the transmission process of the source end and the destination end is solved, the network bandwidth utilization rate is increased, the UDP header overhead is reduced, data expansion is reduced, and the user experience is improved. Through an efficient password transmission mechanism and an encryption means, the privacy of a user data packet is protected, and the security is improved.

The invention provides a quantum key routing path determination method and device, electronic equipment and a medium, and the method comprises the steps: carrying out the initialization of an initial spider bee population based on a network topology structure, carrying out the iteration of each initial spider bee based on the network topology structure through employing a spider bee optimization algorithm, obtaining iteration spider bees, and carrying out the calculation of the iteration spider bees. According to the service quality parameter of the random QKD node group corresponding to each initial spider bee, calculating the service quality parameter of each initial spider bee, and according to the service quality parameter of the iteration QKD node group corresponding to the iteration spider bee, calculating the service quality parameter of the iteration spider bee; and determining an optimal spider bee according to the service quality parameter of each initial spider bee and the service quality parameter of the iteration spider bee, and generating a quantum key routing path for key negotiation according to the target QKD node group corresponding to the optimal spider bee. The bandwidth utilization rate and the performance of the quantum key distribution network are improved, and the communication security and the service quality are ensured.

The invention discloses a computer network data transmission management system based on cloud computing. Comprising a data source layer, a cloud platform layer and a data storage layer, and the cloud platform layer comprises a security layer, a management and scheduling layer and a data transmission layer; the security layer comprises data encryption, identity verification and access control; the management and scheduling layer comprises load balancing, flow scheduling and error recovery; the cloud platform layer caches and stores the transmitted data information through virtualization resources, and processes and analyzes the transmitted data information through data management; the data storage layer is used for storing and backing up the transmitted data information; according to the method, data information needing to be transmitted is processed through cloud computing, the stability of data information transmission is improved, the path and strategy of data transmission are dynamically adjusted according to network bandwidth, delay and load factors, and data loss and errors in the transmission process are rapidly recovered.

The invention belongs to the related technical field of integrated circuit design, and particularly relates to a method for loading data required by an accelerator operation processing unit of a convolutional neural network, which comprises the following steps of: controlling a cache sequence of weight data and feature map data through a state machine, when controlling the cache of the feature map data, firstly performing input feature map format conversion, the method comprises the following steps: performing sub-segment division on external channel-by-channel input feature map data with the bit width of A bit, storing the external channel-by-channel input feature map data with the bit width of A bit in a grouping dislocation storage mode, and converting the stored feature map data into N paths of parallel data with the bit width of B bit (B = A / N) in a special reading mode, the B * N data flow can complete feature map data loading of N storage units at the same time, the problem that the off-chip data access bit width is not matched with the data bit width needed in the operation processing unit is solved, and the bandwidth utilization rate of the convolutional neural network accelerator is improved.

The invention provides a data forwarding method based on a vehicle-mounted passive optical network and a related device, and relates to the technical field of vehicle communication. In the data forwarding method, the first ONU gateway aggregates and packages the received multiple frames of messages into the same uplink GEM frame, so that the multiple frames of messages share the same GEM frame header, the frame header overhead in the low-speed data transmission process is effectively reduced, and the bandwidth utilization rate of the vehicle-mounted PON network is improved. Meanwhile, message grouping, uplink GEM frame packaging and uplink burst frame coding are directly completed through the first ONU gateway, the uplink burst frame is sent to the OLT, time delay and system resource consumption are reduced, the high real-time requirement of low-speed data (such as a sensor and a control signaling) in a vehicle-mounted scene is met, and therefore efficient and low-delay bearing of the low-speed data on a vehicle-mounted PON network is achieved.

The embodiment of the invention discloses a solid state disk, an operation method of the solid state disk, a storage system and a data center. The solid state disk comprises a flash memory module, a dynamic random access memory module and a controller. The dynamic random access memory module comprises a first storage area, first data and a check code of the first data are stored in the first storage area, and the code length of the first data is larger than the interface width of the dynamic random access memory module. The operation method of the solid state disk comprises the steps that the controller reads first data and a check code of the first data from a first storage area of the dynamic random access memory module, and the code length of the first data is larger than the interface width of the dynamic random access memory module. The code length of the first data is greater than the interface width of the dynamic random access memory module, so that the overall code length of the check code is reduced, and the interface width use efficiency of the dynamic random access memory module is improved.

The invention relates to a communication control method and device, computer equipment, a readable storage medium and a program product, which are applied to a control unit, are arranged in a system in which a ground terminal and a low-altitude terminal coexist, and are used for dynamically combining a cellular unit and a cellular-free unit in the system. The control unit is in communication connection with all cellular base stations on a flight path of the low-altitude terminal; the method comprises the following steps: determining a target cellular base station meeting requirements from adjacent cellular base stations according to network performance index values of the adjacent cellular base stations located around a low-altitude terminal and sent by the low-altitude terminal; adjusting the type of the target cellular base station to a mixed base station comprising a cellular unit and a non-cellular unit; wherein the ground terminal is served by the cellular unit, the low-altitude terminal is served by the non-cellular unit, and wireless resources are dynamically shared between the cellular unit and the non-cellular unit in the hybrid base station. By adopting the method, the same-frequency interference when the ground network and the low-altitude network coexist can be reduced.

This invention relates to the field of Internet of Things (IoT) technology, providing a large-scale IoT system, method, and medium for remote firmware updates of sensors. The system includes a sensor management platform configured to: determine multiple sensor update groups based on data characteristics of multiple sensors and their geographical locations within an industrial grid area; determine the update priority of each sensor update group based on its task and transmission characteristics; determine update parameters for the multiple sensor update groups based on update priority, firmware characteristics, and channel state distribution; and generate update instructions and firmware update packages based on the update parameters, and control multiple sensors in the multiple sensor update groups to perform firmware updates. The method can be executed after being read from computer instructions stored on a computer-readable storage medium. This invention enables secure, reliable, and continuous large-scale sensor firmware upgrades under complex industrial network conditions.

The invention provides an out-of-order and interlaced data transmission method and device.The method comprises the steps that an access request sent by a master device is received, attribute information of the access request is written into an input queue cache, and the attribute information comprises a storage block number corresponding to a slave device in a resource pool and a storage bank number in the storage block; generating a queue code based on the attribute information; obtaining a plurality of storage blocks in the resource pool and filling states of a plurality of storage banks in each storage block, and generating a resource pool code based on the filling states; and performing logical operation on the queue code and the resource pool code to obtain a queue release signal, obtaining a resource release signal according to the queue release signal, and outputting data in the memory bank corresponding to the resource release signal from the resource pool. According to the technical scheme, the transmission efficiency of the system is improved.

The invention relates to the technical field of computer cluster communication, in particular to a set communication method suitable for a core particle equipment cluster with unified bus interconnection, which comprises the following steps of: acquiring hierarchical topology and link information of the core particle equipment cluster, and constructing a global topology information base according to the acquired hierarchical topology and link information; optimizing the core size level primitive, the node level primitive and the super node level primitive; a link monitoring unit is deployed to monitor a link state index in real time, an alarm is triggered when a link fault is detected, an optimal backup link is screened based on a global topology information base, a communication path is updated, and a dynamic resource scheduling algorithm is adopted to allocate computing power and communication resources; and dynamically adjusting a communication path and bandwidth allocation according to a set communication task requirement and a link dynamic parameter. The method is suitable for a three-level link architecture of a core particle equipment cluster, can improve the communication efficiency and the bandwidth utilization rate, enhances the cluster reliability and the resource utilization rate, and effectively meets the requirements of high computing power and high communication intensity of large model training.

The invention provides a power distribution network resource scheduling method and system based on computing power network integration, and belongs to the technical field of data processing and resource scheduling, and the method comprises the steps: obtaining a plurality of communication signals and a plurality of corresponding service requests, and packaging the communication signals and the service requests into a plurality of standardized data; corresponding response tasks are generated according to the service requests, and task resource requirements of the response tasks are determined; performing resource scheduling on each response task according to each task resource demand and a preset resource scheduling model, and determining resource configuration of each response task; according to each resource configuration, scheduling and allocating a plurality of virtual resources to each response task from a preset resource pool; and according to each response task and a plurality of corresponding virtual resource units, carrying out data processing on each piece of standardized data, so that by implementing the method and the device, the problems of relatively low utilization rate of power distribution network resources and inflexible scheduling in the prior art can be solved.

The application relates to a method and system for realizing 90-degree integer multiple rotation of an image, wherein the method comprises the following steps: an FPGA receives original image data output by an image sensor and image processing parameters issued by an ARM, the image processing parameters at least including width, height and a rotation angle, wherein the rotation angle is an integer multiple of 90 degrees; the original image data is preprocessed and demosaiced to obtain a full-color image in RGB or YUV format; according to the width, height and rotation angle of the image, a coordinate transformation formula for 90-degree integer multiple rotation is used to determine the position mapping relationship between each source pixel in the full-color image and a target pixel after rotation; the full-color image is written into a BRAM cache in a ping-pong mode, and each pixel is read according to the order of the position mapping relationship and written into a target address in a DDR, wherein the target address in the DDR is calculated according to the position relationship.

The application discloses a composite data transmission method and related device, and relates to the technical field of computers, and the method comprises the following steps: if it is judged that the data transmission from a device end to a host end is one-way transmission, the device end collects original audio and video data, carries out algorithm processing and classification; the original audio and video data is encapsulated and transmitted to the host end, the first composite data is received, and the first composite data is analyzed; the first analysis data is written into a target virtual drive, the first analysis data is integrated, a target instruction is generated, and the target instruction is transmitted to the device end; if it is judged that the data transmission is not one-way transmission, the host end packs the original audio and video data, transmits the second composite data to a computing box; the second composite data is analyzed, the second analysis data is processed by calling an algorithm library, the second analysis data is packed, and the second analysis data is returned to the host end; the packed data is analyzed, and the packed data is transmitted to a target application. The application provides high-quality original audio and video data transmission.

The present invention provides a time slot variable protocol communication method and device based on a half-duplex communication mode, belonging to the field of wireless communication technology. The method comprises: establishing a communication connection between a master device and a slave device; in the communication process between the master device and the slave device, the master device controls and adjusts the time slot ratio of the two-way communication in real time according to the amount of data to be sent fed back by the slave device; wherein the communication transceiver cycle of the two-way communication comprises: the master device sending time slot, the first protection interval time slot, the slave device sending time slot and the second protection interval time slot. Since the master device can feed back the amount of data to be sent from the slave device, the time slot ratio can be adjusted in real time, thereby adjusting the bandwidth of the two-way communication, thereby effectively improving the bandwidth utilization and the communication efficiency.