1662 results about "Packet loss" patented technology

The invention discloses a construction engineering risk assessment method and system for multi-source anomaly monitoring, and particularly relates to the field of construction engineering risk assessment, comprising the following steps: analyzing equipment-to-component node mapping and return delay characteristics based on multi-source monitoring data received in an idle task period; establishing a cross-device time alignment model and a pseudo-synchronization section time migration trajectory, identifying a potential abnormal path set through a time delay drift trend, and providing a time feature basis for subsequent structure anomaly reasoning and risk assessment; deducing a node triggering sequence and a time causal chain based on the final pseudo-synchronization segment index matrix and channel path mapping; multi-source monitoring data is received in an idle task period, and a cross-device time alignment model is established, so that the problem of time sequence dislocation caused by mechanisms such as cache delay and packet loss re-sending is effectively identified, and historical abnormal data is prevented from being misjudged as a future risk from the source.

The invention relates to the technical field of Internet of Things communication, and discloses an Internet of Things data information transmission method, a switch and a transmission system. The method comprises the following steps: acquiring multi-source data streams of Internet of Things terminal equipment, dynamically fragmenting according to types to generate fragmented data packets, matching a target transmission protocol for the fragmented data packets, generating a dynamic routing path in combination with a priority mark and the like, and transmitting the dynamic routing path. The system also has the functions of link quality evaluation and route adjustment, redundant coding packet loss recovery, transmission delay and integrity monitoring processing, encryption transmission based on security level, resource optimization, transmission strategy adjustment and the like. The switch is integrated with a data fragmentation module, a protocol matching module and the like. The transmission system comprises a terminal device cluster, an edge node network, a cloud server and a protocol conversion gateway. The data transmission efficiency, reliability and safety are improved, resource utilization is optimized, and the data transmission problem of the Internet of Things is effectively solved.

The invention discloses a communication and optimization method and system of an energy storage system, and relates to the technical field of communication. Real-time state parameters of the battery pack are obtained through wireless communication, the state parameters are predicted through time sequence analysis and a data compensation mechanism, the problems of numerous battery packs, communication time delay and packet loss are solved, the real-time performance and accuracy of data are ensured, and the real-time performance of the battery pack is improved by combining a digital twinborn model. The system can optimize a control strategy based on battery aging evaluation and simulation analysis, realizes dynamic adjustment and refined energy management, adopts a differential privacy technology to encrypt and transmit data, ensures privacy protection of the control strategy, and ensures the safety of the control strategy through real-time monitoring and self-adaptive adjustment mechanism and minimization of the difference between a digital twin model and an actual system. The stability, efficiency and safety of the energy storage system are further improved, and long-term reliable operation of the system is guaranteed.

The invention relates to the technical field of signal switching control, in particular to a multi-network signal switching control system and method based on big data, and the system comprises a user track prediction module, a network coverage analysis module, a signal load evaluation module, a signal switching decision module and a switching execution monitoring module. According to the invention, accurate prediction of a user moving track is provided by integrating user positioning and moving speed data, a potential network switching point is effectively predicted, and a system is allowed to dynamically adjust a network switching strategy by analyzing user behaviors in real time, so that the continuity and the stability of network services are improved, and the user experience is improved. The system can predict the future network demand before the user state is stable by calculating the trajectory trend change rate of the user, the prediction mode combines the current data and the historical trend, the prediction accuracy is improved, the signal switching opportunity and the target network selection are optimized by analyzing the signal coverage and the real-time load of each base station, and the user experience is improved. And data packet loss and time delay are reduced.

According to the packet loss prevention data transmission method and device, the equipment and the storage medium provided by the invention, the network index data of the current network is acquired in response to the data transmission instruction; inputting the network index data into a network state prediction model to obtain a prediction result of the current network state; determining an FEC redundancy strategy according to the prediction result; according to the FEC redundancy strategy, performing redundancy coding on to-be-transmitted data to obtain a redundancy data packet; and sending the data to be transmitted and the redundant data packet to a target receiving end. According to the predicted network state, the number of redundant data packets can be dynamically adjusted, unnecessary redundant data transmission is reduced, and the bandwidth utilization rate is improved. Unnecessary bandwidth waste is reduced through adjustment of dynamic redundancy coding, it is ensured that enough fault-tolerant capacity is provided when the network is unstable, data integrity is effectively ensured, and meanwhile audio and video transmission fluency and stability are improved.

The invention discloses an intelligent switching method for a multi-link encrypted transmission tunnel, and relates to the technical field of multi-link communication, the method constructs a multi-link communication system, combines real-time monitoring and intelligent analysis, can provide redundant and diversified link selection, and improves the communication efficiency on the basis of ensuring the communication stability and reliability. And the encryption strength and priority of the link are dynamically adjusted, and the security and efficiency of data transmission are optimized. The system intelligently judges link quality and reduces switching delay by monitoring factors such as electromagnetic interference, driving speed and building shielding in real time and combining an anti-interference capability index Kgr; and when the link quality is unstable, the encryption strength is dynamically adjusted and the link with better performance is switched to. In combination with vehicle load data and packet loss data, the system can further optimize link judgment and switch to a safer link in time to avoid communication interruption. The method is especially suitable for efficient and safe communication requirements of the unmanned vehicle in a complex and high-speed driving environment.

The invention discloses an electric power dispatching system fault detection method based on multi-source data analysis, which relates to the technical field of electric power dispatching system automation and is characterized in that electric power dispatching related data is collected, feature extraction is carried out, a delay fluctuation coefficient Ys is calculated, a delay fluctuation threshold Ysyz is combined, an early warning mechanism is triggered, and fault analysis is carried out. According to the method, scheduling errors or response delay caused by communication link delay abnormity are reduced, potential fault risks are recognized in advance, a packet loss change factor # imgabs0 # and an equipment load change coefficient # imgabs1 # are obtained through calculation, power scheduling system fault reasons are judged, each communication link section is analyzed, risk link sections are marked, a communication link section risk report table is constructed, and a power scheduling system risk report table is established. And executing the fault repair operation.

The invention belongs to the technical field of bandwidth adjustment, and particularly relates to a distributed monitoring bandwidth adjustment method and system capable of self-adaptive scheduling, which can ensure that high-priority nodes can preferentially obtain bandwidth resources by collecting network state data in real time and dynamically adjusting the bandwidth demand priority of each node. And the central scheduling node gathers priority information of all nodes, generates a global bandwidth allocation scheme, and continuously adapts to changes of network loads and monitoring requirements through a closed-loop adjustment process. According to the method, the utilization rate of bandwidth resources is remarkably improved, the stability and reliability of the system are enhanced, the phenomena of data transmission delay and packet loss are reduced, and meanwhile, the key nodes can still obtain sufficient bandwidth support under the condition of high load or emergency, so that the flexibility and the response speed of the whole distributed monitoring system are improved.

The invention relates to the technical field of audio playing optimization, and discloses a low-delay multi-room audio playing optimization method and system, a storage medium and equipment, and the method comprises the steps: building a global time synchronization system based on a precision clock protocol in a playing equipment cluster, and enabling all playing equipment to operate based on a unified time reference; monitoring network state parameters in real time, dynamically calculating and adjusting the audio buffer depth of each playing device based on the monitored network quality, and obtaining audio data in advance according to the playing progress and the network state; generating a global playing timestamp according to the global time synchronization system, and controlling all playing devices to perform synchronous starting and progress control of audio playing based on the global playing timestamp; a transmission strategy of audio data is dynamically optimized based on real-time network state parameters, packet loss recovery and bandwidth adaptation are achieved, sub-millisecond multi-room audio synchronous playing is achieved, and meanwhile performance parameters can be automatically optimized according to different network environments and hardware configurations.

The invention relates to the field of data synchronization, in particular to a dynamic synchronization method and system for communication data of a combat simulation platform, and the method comprises the steps: obtaining communication data streams of a radar node and an electromagnetic interference node, generating a unified semantic tag, and detecting that the continuous packet loss times of the communication data streams exceed a preset packet loss time threshold value; predicting through Kalman filtering to obtain a predicted strike unit coordinate of the current packet loss, and generating a compensation data packet; before the compensation data packet is injected, the displacement deviation between the predicted strike unit coordinate and the follow-up actual received strike unit coordinate is compared, and if the displacement deviation exceeds a preset displacement fault-tolerant threshold value, a synchronous rollback mechanism is triggered; counting link loads through a sliding time window to obtain network real-time loads, and allocating bandwidth resources according to dynamic priority weights; the problem that real-time synchronization of radar detection data and electromagnetic interference signal parameters is abnormal in the interception cooperation process of a striking unit in a high-dynamic combat simulation scene is solved, and the data synchronization precision in simulation is effectively improved.

The invention relates to the technical field of wireless communication, and discloses a mining ad-hoc network dual-band switching method and system.The method and system comprise the steps that firstly, equipment is deployed based on a mine laneway three-dimensional digital model, coordinates are obtained through inertial navigation and UWB positioning, an initial network topology is constructed, a 5.8 G module monitors a high-frequency bandwidth index, and a 1.4 G module collects low-frequency penetrability parameters; a link score is calculated by combining nine parameters such as battery capacity, and according to the score and roadway topology, under a linear roadway, a corner area and a strong interference environment, a 5.8 G module is used for exclusive occupation, a 1.4 G module is used for attenuation resistance, double modules are used for parallel transmission, a redundant link is established in advance during switching, parallel transmission of new and old modules guarantees zero packet loss, and equipment can also broadcast a state. The low-electric-quantity equipment takes over high-power-consumption transmission by the neighbor node; the method and the system can adapt to different mine scenes, and improve communication stability, reliability and cruising ability.

The invention relates to the related technical field of information transmission processing, in particular to a docking station adaptive data transmission optimization system and method, and the method comprises the steps: multi-module collaborative optimization docking station transmission: dynamically collecting port data, intelligently analyzing a configuration strategy, correcting cache congestion in real time, generating a control instruction, and feeding back an adjustment protocol; the technical problems that the bandwidth allocation strategy cannot adapt to the connection state of the port equipment and the sudden change of the data transmission requirement, the power distribution of the power supply is not matched with the equipment load, and the stability and reliability of the data transmission are limited are solved, the bandwidth allocation proportion of each port is dynamically adjusted, the bandwidth waste and congestion phenomena are reduced, and the data transmission efficiency is improved. The technical effects of improving the smoothness and the real-time performance of data transmission, improving the energy efficiency by cooperatively adjusting the distribution of power supply power based on a power supply power distribution strategy of an equipment compatibility thermodynamic diagram, reducing data packet loss and transmission errors by adopting a congestion risk control and cache management strategy, and improving the stability and the reliability of data transmission are achieved.

The invention discloses a time-varying routing method and system for a satellite internet, and mainly solves the problems that an existing satellite network routing method is difficult to support satellite high-quality communication, the topology is frequently changed, and the information communication load between satellites is heavy. According to the scheme, the method comprises the following steps: initializing orbit parameters of satellite nodes and an inter-satellite link set; obtaining a link on-off timetable through simulation, and sending the link on-off timetable to a satellite node by a ground station; the satellite node generates a topology prediction message according to the link on-off time table, determines the sending time of the message according to the difference value between the link change moment and the sending time of the routing control message, and floods the message in the limited area; and after receiving the message, the satellite node analyzes the link information to calculate a virtual route, arranges a route updating sequence of the satellite node, replaces the route table with the virtual route table at the link change moment, and issues the route to the basic network layer. According to the method, the transmission load of the network can be effectively reduced, the probability of outdated routing and packet loss is reduced, the method can be used for establishing the satellite internet, and the communication quality between satellites is guaranteed.

The invention provides an optical communication flow dynamic wavelength allocation optimization method and system, computer equipment and a storage medium, flow monitoring modules are arranged at nodes of an optical communication network, flow data of different service types at the nodes are acquired, a central control unit acquires existing wavelength resource information in the optical communication network, and the optimal wavelength allocation of the optical communication flow is realized. Evaluating whether the current wavelength resource allocation is reasonable; the central control unit sends the generated dynamic wavelength allocation mechanism to each node of the optical communication network, and each node adjusts the existing wavelength allocation through the received mechanism; and continuing to collect data of different services at each node, transmitting the collected data to the central control unit for evaluation, and if the preset target is not reached, executing the above steps again. The method has the advantages of balancing the resource distribution of the whole network, avoiding local congestion, improving the overall resource utilization rate, remarkably reducing the problems of packet loss rate and delay exceeding caused by signal crosstalk, reducing the probability of fragment generation in the future and avoiding single-point congestion.

The invention provides a strong interaction video stream transmission quality optimization method, device, controller and system. The method comprises the following steps: a slow module determines a network packet loss probability prediction value and a packet loss aggregation prediction value of strong interaction video stream data in a next streaming media protocol feedback period; the fast module adopts a random forest model to decide the fine-grained redundancy corresponding to each video frame coding period frame by frame based on the network packet loss probability prediction value, the packet loss aggregation prediction value and the length of each video frame to be transmitted by the network corresponding to the strong interaction video stream data; and performing forward error correction coding on the data packet of each video frame based on the redundancy to obtain the data packet added with redundancy protection corresponding to each video frame. According to the method, the device and the system, the size difference and the network dynamics of different video frames of strong interaction video streams such as cloud games can be accurately self-adapted, the interaction quality of the strong interaction video streams can be ensured, the redundant bandwidth overhead can be greatly reduced, and the transmission quality and the redundant cost of the strong interaction video streams can be balanced.

The invention provides an RDMA (Remote Direct Memory Access) network transmission packet loss recovery method and system. The method comprises the following steps: a sending end determines that a data stream to be transmitted is a larger or smaller data stream based on a multiple of a bandwidth delay product of an RDMA network; performing redundant coding and code marking on the smaller data stream, generating a data stream carrying a code mark and a redundant data packet, and transmitting the data stream to a receiving end; dividing a larger data stream into a non-tail BDP part and a tail BDP part based on the multiple of the bandwidth delay product, performing redundant coding and coding marking on the tail BDP part, and generating the tail BDP part carrying a coding mark and a redundant data packet; and transmitting a data stream formed by the non-tail BDP part and the tail BDP part carrying the coding mark and the redundant data packet to a receiving end, so that the receiving end carries out packet loss and coding mark detection on the received data stream, and if the packet loss and the coding mark exist, the lost data packet is recovered based on the carried redundant data packet. And if there is packet loss and there is no coding mark, requesting the sending end to select to retransmit and recover the lost data packet.

The invention relates to the technical field of digital communication, in particular to an intelligent electric meter dual-mode communication self-adaptive switching method, and provides the following scheme that operation data are divided into a plurality of data units at a sending end, priority evaluation is carried out, and the time delay, the packet loss, the energy consumption and the bandwidth state of two links are combined, so that the intelligent electric meter dual-mode communication self-adaptive switching method is realized. Positioning clearing cut points in the priority sequence so as to realize differentiated distribution of data between a high-speed link and a low-speed link; when the data is distributed to a low-speed link, sparse coding is carried out by adopting a preset dictionary, and differential updating is triggered when an error exceeds a limit, so that decoding consistency is ensured; a receiving end realizes unified analysis of the original message and the sparse message through cross-link association, dictionary updating and residual synthesis; according to the invention, the timeliness of the key message can be guaranteed, the communication energy consumption and cost can be reduced, and the cooperation efficiency of the dual-mode link can be improved.

The invention relates to the technical field of mobile edge computing, in particular to an ocean communication processing method and system based on mobile edge computing, and the method comprises the following steps: obtaining submarine topography information and node capability parameters, computing node deployment adaptation indexes, extracting signal intensity and angle changes, obtaining a link offset trend, and identifying power and packet loss abnormal regions. Generating path reconstruction parameters, adjusting a network structure in combination with tide level changes, and obtaining a communication task scheduling result according to entity behavior characteristics. According to the method, the adaptability of the node site selection environment is evaluated by analyzing the topographic features and the node capacity, the deviation trend is jointly recognized through signals and angle data, the pre-judgment capacity of link abnormity is improved, the network structure is dynamically adjusted in combination with the tide level change, and the stability of the communication network structure is optimized; and task scheduling grading is driven by adopting communication entity behavior characteristics, so that the accuracy of resource allocation and the regional regulation and control efficiency are improved, and the self-adaptive regulation and control capability in a dynamic environment is realized.

The invention discloses an Internet of Vehicles information age optimization method and system based on graph reinforcement learning, and the method comprises the steps: firstly constructing a batch modeling and limited buffering queue structure of a vehicle state, carrying out the modeling of perception data into a multi-data-packet batch, and carrying out the queue management; modeling V2V link topology by using a graph neural network, and extracting large-scale channel embedding representation reflecting a topological structure; a multi-agent reinforcement learning system based on a centralized training distributed execution framework is constructed, each agent makes a decision according to a local state containing graph embedding features, a mixed action space is output, and an AoI opposite number of a receiving end is used as a reward; a graph embedding supervision mechanism based on a dominant function is introduced, so that topological features are aligned with a long-term optimization target; and network parameters are updated through multiple rounds of training, and finally, autonomous optimization control of each agent on packet loss and power is realized. According to the invention, data packet queue management and wireless resource allocation can be effectively coordinated, and efficient and low-overhead AoI minimization is realized in a complex dynamic topology environment.

The invention relates to a quic-based data transmission method and system, and relates to the technical field of communication, and the method comprises the steps that a PTO timer is set to monitor data packet loss, and a client sends a data packet on a main path and records the packet loss frequency according to the PTO timer. Migration judgment is carried out, wherein whether the packet loss frequency exceeds a threshold value or not, whether data packets are continuously lost or not and whether connection migration is needed or not are judged; if migration is needed, a connection migration strategy of the main path and the standby path is formulated according to the migration standard, the size of an initial window is set after the legality of the standby path is verified, and finally the client switches a data packet transmission link to the standby path and continues to send the data packet. According to the method, the data transmission problem caused by network jitter and equipment faults can be effectively solved, and the reliability and the stability of data transmission are improved.

The invention relates to a cooperative control method and system for realizing self-organizing protection of a multi-unmanned aerial vehicle cluster, and the method comprises the steps: M1, enabling the unmanned aerial vehicle cluster to execute a task, obtaining the data information of the remaining power, RSSI signal intensity and IMU attitude of each unmanned aerial vehicle in real time based on an airborne built-in sensor, and acquiring data information of distances and relative speeds of obstacles around the unmanned aerial vehicles in real time based on an airborne external millimeter-wave radar, constructing a dynamic threshold function stop, and if the RSSI signal strength of each unmanned aerial vehicle is greater than the stop, outputting data information of the residual electric quantity and IMU attitude of each unmanned aerial vehicle. According to the method, misjudgment (such as transient packet loss due to electromagnetic shielding) caused by temporary signal interference is effectively avoided, the misjudgment rate is reduced by 40%, unnecessary return or cluster recombination is reduced, continuous task execution is guaranteed, it is ensured that leader handover is completed quickly (at the millisecond level) when a host fails, and the situation that a cluster falls into disorder due to single-point failure is avoided.

The invention discloses a V2V-based intelligent networked automobile road adhesion coefficient estimation method and system, and relates to the technical field of intelligent networked automobiles. The method comprises the steps that physical parameters and motion state information of a front vehicle are received based on V2V, an event triggering communication mechanism is adopted in the sending process of the physical parameters and the motion state information of the front vehicle, and meanwhile data packet loss is considered; constructing a three-degree-of-freedom vehicle dynamics model of the front vehicle; and establishing a road adhesion coefficient estimator based on an event triggering strong tracking unscented Kalman filter considering packet loss. According to the method, the front vehicle is regarded as a sensor of the vehicle, the parameters and motion information of the front vehicle are obtained through vehicle-mounted wireless communication, the problems of data packet loss and limited communication bandwidth during communication are considered, the robustness of an estimator to model parameter perturbation is improved through a strong tracking algorithm, and the estimation accuracy is improved. And finally, establishing a road adhesion coefficient estimator based on an event triggering strong tracking unscented Kalman filter considering packet loss, and ensuring that the road adhesion coefficient is accurately obtained in advance.

The invention relates to the technical field of wireless streaming media, in particular to a real-time video transmission method and system based on 5G, and the method comprises the following steps: based on mobile terminal equipment, analyzing the signal strength and service bearing change of a 5G base station, screening an optimal access sequence, comparing channel capability with video partition characteristics, and adjusting coding parameter distribution. And analyzing link capability and packet loss performance, and optimizing uplink and downlink compression parameters to obtain a compression change trend. According to the invention, by dynamically identifying the signal association and network load change between the mobile terminal and the 5G base station, the multi-dimensional access priority sequence is generated in combination with the real-time bandwidth demand, the coding and allocation parameters are flexibly adjusted according to the video partition content characteristics and the wireless channel adaptation condition, and the access priority sequence is optimized in combination with the uplink and downlink performance and the frame type change. Dynamic regulation and control and synchronous updating of compression parameters are automatically completed, continuous transmission of video streams in a complex network environment is achieved, and the end-to-end consistency of video content and the integrity of picture data are improved.

The invention discloses a vehicle-mounted equipment communication simulation system and method based on an AVCLAN protocol, and belongs to the technical field of vehicle-mounted network communication. The system comprises a data acquisition module which is used for obtaining the initial state of each vehicle-mounted device, the real-time change of a network link, the protocol parameters of an AVCLAN protocol, environment characteristics and packet loss data, and inputting the data to a complete vehicle-mounted device connection model, obtaining communication data packet size, communication link bandwidth, communication link distance, signal propagation speed and packet loss delay data among the vehicle-mounted devices; the communication delay calculation module is used for calculating the total communication delay among the vehicle-mounted equipment; and the communication simulation and optimization module is used for determining a communication performance evaluation result and a path and network optimization result. According to the scheme, the performance of the vehicle-mounted communication system can be accurately simulated and evaluated, the communication link, the bandwidth allocation and the data transmission strategy are optimized, and the reliability, the stability and the real-time performance of the system are improved.

Embodiments of this application provide an adaptive data flow transmission method, an apparatus, and a system, relating to the field of communication technologies. The method is used to perform, when a frame rate of a downlink data flow of a service changes, network resource adaptation promptly based on the frame rate of the data flow, to avoid a waste of network resources or a packet loss of media frame data, so as to improve network resource utilization and user experience.

The invention discloses a video packet loss synchronous compensation method and system based on deep learning, and the method comprises the steps: obtaining a to-be-compensated video stream, extracting the features of an original video frame, loading the features to a packet loss compensation model containing an LSTM prediction network and a GAN generator network, and enabling a time sequence prediction unit to comprise a long short-term memory assembly with attention gating; the LSTM prediction network sequentially performs inter-frame motion mapping, region enhancement mapping and region feature fusion on the original video frame features through a time sequence prediction unit to obtain a prediction feature sequence; and the GAN generator generates and decodes the prediction feature sequence to obtain a target replacement frame feature, and further obtains a synchronous compensation frame from the video stream to be compensated. According to the method, time sequence state adjustment is guided through attention gating, cooperation of time sequence prediction and detail generation is realized in combination with LSTM and GAN, time sequence coherence and detail accuracy of compensation frames are improved, and the problem of synchronous compensation in a video packet loss scene is effectively solved.

The invention discloses a cross-platform development board communication fault feedback method and device and a storage medium, and relates to the technical field of communication, after main and sub development boards are initialized, a communication state machine is established, a heartbeat timer is started, heartbeat packets are periodically received and sent, an overtime threshold value is dynamically set in an idle state, and error feedback is triggered if no heartbeat packet is received in an overtime state. The connection state periodically detects communication quality, a reconnection mechanism is triggered if continuous packet loss exceeds a threshold value, an error report is generated and reported when reconnection failure reaches an upper limit, error feedback comprises data packet sending, log recording, alarm triggering and the like, and a reconnection request comprises an identifier, a timestamp and a historical communication index; according to the method, communication interruption caused by misjudgment is reduced, and the communication stability and reliability are improved.

The invention discloses a soft bus multipath transmission control method and system based on a super object model, and the method comprises the steps: constructing the super object model, obtaining a network condition in the super object model, and obtaining a plurality of target transmission paths according to the network condition; splitting the original data packet into a plurality of sub-data packets, and distributing a target transmission path for the sub-data packets through a path distribution algorithm; performing synchronous coordination on the sub-data packets to obtain a plurality of coordinated sub-data packets, inputting the plurality of coordinated sub-data packets to a corresponding target transmission path, and outputting an ordered data stream; collecting error information and packet loss information in the ordered data stream, correcting the error information and the packet loss information, and outputting a complete data stream; and receiving the complete data streams, recombining the complete data streams according to the sequence to obtain recovered original data, and verifying and optimizing the original data. According to the invention, unified management and scheduling are carried out by using the super object model, and efficient and reliable distributed data transmission is realized.

The invention relates to the technical field of data communication, in particular to a WiFi (Wireless Fidelity)-based data communication method and system. The method comprises the following steps: acquiring a routing WiFi (Wireless Fidelity) 6 networking control authority, acquiring a signal frequency band state and identifying a frequency band load state; then, the load state is converted into a spectrogram, and throughput attenuation simulation and adjacent channel interference risk quantification are carried out; then, fitting a network congestion increment index according to the data packet loss risk and throughput attenuation data, and performing channel frequency band planning and OFDMA subcarrier allocation optimization according to the network congestion increment index; and finally, designing a WiFi (Wireless Fidelity) data communication strategy, and sending the WiFi data communication strategy to a control center to implement the optimized data communication method. According to the invention, the data communication technology is optimized, so that the data communication technology is more perfect.

The invention relates to a data retransmission method and device, a chip, a network interface card, equipment, a medium and a program product. The method comprises the following steps: sending target data to a data receiving end; receiving a packet loss information message returned by the data receiving end; the packet loss information message is generated for lost target data under the condition that the data receiving end judges that packet loss exists, and the packet loss information message is only sent once for each piece of lost target data; and based on the packet loss information message, re-sending the lost target data to the data receiving end. By adopting the method, the reverse load can be reduced.