635 results about "Bandwidth utilization" patented technology

The invention relates to the technical field of data flow control, in particular to a heterogeneous data flow synchronous control method and system.The method comprises the following steps that multi-source data segment receiving time is obtained, a time interval sequence is constructed, an interval difference value and a synchronous difference quantity are calculated, the sensitivity level is judged, a channel throughput change is extracted, a descending section is marked, and a priority index is generated; and mapping the high-sensitivity stream to a first-stage or second-stage output path to sort and distribute key stream segments, judging that serial numbers are continuously combined or independently output, and generating intersection and sequence information. According to the method, the time interval sequence is constructed based on the receiving time of the multiple data sources, the interval deviation is quantified, the labels are divided through the synchronization difference quantity, the sensitive level structure is established, differential management of the synchronization precision requirement of the heterogeneous data streams is achieved, the response efficiency and the alignment precision of the high-sensitivity data segments are improved in the data distribution process, and the data distribution efficiency is improved. And meanwhile, the competition of a low-sensitivity section for output resources is reduced, and the synchronous time sequence coordination capability and the channel bandwidth utilization rate in a multi-source heterogeneous environment are improved.

The invention discloses a memory prefetching control method and device, a storage medium and a program product, and relates to the technical field of computers. A heterogeneous logic model covering multiple access modes is constructed, a prefetch strategy candidate set is generated based on standard logic models corresponding to different access modes, the expression limitation of a single model on complex multi-mode access features is broken through, and access laws in different scenes can be comprehensively covered; through calculation, sorting and screening of the prefetch cost, targeted evaluation of the strategy is realized, bandwidth load aggravation and resource waste caused by redundant prefetch are avoided, and optimization of the target prefetch strategy in the aspects of low delay and high bandwidth utilization rate is ensured. According to the method and the device, the problems that a fixed logic model is difficult to adapt to dynamic diverse memory access behaviors and resource utilization is low in efficiency in the prior art are solved, and the technical effects that the method does not need to depend on fixed logic, can dynamically adapt to the change of the access mode through flexible combination and strategy screening of heterogeneous models, and is particularly suitable for terminal equipment with limited resources are achieved.

The invention relates to a message uploading method, a data processing unit and a network processor, and the method comprises the steps: obtaining the number of messages currently cached in the data processing unit in a target queue, so as to determine the number of descriptors to be read, obtaining the descriptors in batches through one PCIe reading operation, and sending the descriptors to the target queue; the messages of the currently cached target queue are written into host side caches pointed by the descriptors, and every time one message is successfully uploaded, one is subtracted from the message count of the currently cached target queue; and if the currently read descriptor is used up, but the target queue has unprocessed messages, repeating the above steps, determining and reading the required descriptor according to the number of the remaining messages of the currently cached target queue again, continuing to write the messages, and repeating the above steps. And all the messages of the currently cached target queue are successfully carried to the host side for caching. According to the method and the device, the message uploading efficiency and the bandwidth utilization rate are improved by optimizing the descriptor reading mode.

The invention provides a network flow control method and system, an engine, a node and related equipment, and relates to the technical field of communication. The method comprises the steps that communication information of a source computing power node is received, and the communication information comprises identification numbers of the source computing power node and a target computing power node and an identification number of a source port selected by the source computing power node; determining an optimal source port and a sending rate of the source computing power node based on the communication information; determining a forwarding path of the source computing power node based on the optimal sending port; configuration information is sent to the source computing power node, and the configuration information comprises the sending rate and the forwarding path. By means of the technical means, the problems that in network data transmission in the related technology, the link bandwidth is not fully utilized, and burst transmission flow cannot be dealt with are solved.

The invention relates to the technical field of audio and video coding, decoding and processing, provides an audio and video signal transmission method and system based on software and hardware cooperation of an autonomous controllable architecture, and solves the problem of low bandwidth utilization rate. The method comprises the following steps: synchronously acquiring bandwidth fluctuation, packet loss rate and transmission delay parameters of a mobile terminal link, and generating a network state level through association analysis; performing resolution scaling on a brightness component of a video frame, performing dynamic downsampling on a chrominance component, generating a resolution reduction frame adaptive to a network state, and generating a fault-tolerant coding stream by combining a packet loss rate regulation and control quantization step size, a frame group length and an inter-frame prediction mode; performing entropy decoding and motion compensation to align brightness and chrominance components, forming a decoding reconstruction frame, performing multi-scale feature extraction and detail compensation, generating an enhanced brightness graph, and performing independent reconstruction on chrominance decoding components; and outputting an original resolution video frame through color reconstruction fusion. According to the invention, high-definition video low-delay transmission under network fluctuation is realized, and both bandwidth adaptability and image quality restoration precision are considered.

The invention relates to the technical field of communication networks, in particular to a dynamic resource allocation method and system for an industrial 5G network. The method comprises the following steps: acquiring industrial terminal data; identifying network congestion nodes based on industrial terminal data; detecting a link congestion fault according to the network congestion node, and determining a bandwidth utilization rate; allocating spectrum resources based on the bandwidth utilization rate; performing frequency spectrum slicing on the frequency spectrum resources, and determining a flow load amount; adjusting load balance according to the traffic load, and generating a load resource report; dynamically adjusting time slot allocation by using a load resource report, and determining a task priority; task scheduling simulation is executed according to the task priority, and if congestion occurs, a congestion snapshot is stored; reducing scheduling conflicts according to the congestion snapshots, releasing bandwidth resources, and determining available network slice capacity; power resources are dynamically adjusted based on available network slice capacity. The bandwidth utilization rate and the task scheduling efficiency of the industrial 5G network are improved based on the communication network technology.

The invention provides a game accelerator packet loss optimization method and device based on flow priority management. The method comprises the following steps: executing periodic link detection on at least one proxy node, and generating a corresponding link monitoring result; judging whether the packet loss rates of two continuous monitoring periods exceed a first threshold value or not according to the link monitoring result; performing real-time classification on the to-be-sent data streams to obtain priority labels for different traffic categories; inputting a prediction algorithm based on a link monitoring result, obtaining a network quality prediction value of a next monitoring period, adaptively adjusting a redundancy proportion according to the network quality prediction value, and sending a queue bandwidth constraint parameter and an agent node; and sending the sorted source data packet and the redundant data packet to a target game server or a game client according to the updated proxy node so as to realize accelerated forwarding of the game data. According to the invention, the reliability, delay stability and bandwidth utilization rate of game data transmission in a cross-border high packet loss network environment can be improved.

The invention relates to the technical field of electric power system communication, in particular to a dynamic bandwidth allocation method and system for an electric power communication network, and the method comprises the steps: constructing a service traffic characteristic database, dividing service types, defining indexes such as a bandwidth threshold value, and predicting traffic fluctuation by adopting an LSTM-GARCH hybrid neural network; parameters such as a link bandwidth occupancy rate are obtained in real time, and a network state matrix is constructed; based on the prediction model and the network state, generating a bandwidth allocation scheme through a deep reinforcement learning algorithm optimized by a near-end strategy; a software-defined network controller is used to execute a strategy, and a gradient descent method is combined to optimize parameters to form a closed loop. By dynamically adapting the service flow and the network state, the bandwidth utilization rate is improved, the key service transmission quality is guaranteed, and efficient and stable operation of the electric power communication network is achieved.

The invention relates to the technical field of Internet of Things communication transmission, and discloses an Internet of Things data intelligent transmission method and system, and the method comprises the steps: abstracting the performance of a multi-source heterogeneous link through a software defined network controller, dynamically generating a slice template, carrying out the traffic marking and priority scheduling, constructing a multi-path target constraint optimization model, and carrying out the optimization of the multi-path target constraint optimization model. And in combination with a network function virtualization mechanism, multi-level intelligent transmission is implemented at edge nodes, and a final transmission control instruction is generated. In the prior art, in a heterogeneous multi-network environment, low-delay, high-reliability and high-bandwidth transmission cannot be guaranteed at the same time, and especially in an industrial automation scene, technical problems that a control instruction is easy to delay and a monitoring data bandwidth is limited exist. According to the invention, the overall transmission reliability and bandwidth utilization efficiency are improved through the dynamic priority traffic scheduling based on network slices, the multipath reliability product model and the dynamic batch processing and progressive compression technology based on real-time link feedback.

The embodiment of the invention provides a data transmission method and device based on a network-on-chip, electronic equipment and a readable storage medium. The method comprises the steps that a data packet is received, and a target routing node corresponding to the data packet is determined; determining a next-hop routing node corresponding to the routing node from the tree topology structure according to the receiving direction of the data packet and the position of the routing node in the tree topology structure; the tree topology structure is a structure for connecting configuration channels of the routing nodes; and sending the data packet to the next-hop routing node, so that the next-hop routing node determines the corresponding next-hop routing node until the next-hop routing node is the target routing node, sending the data packet to the target routing node, so that the target routing node performs configuration according to the data packet, and sending the configured data packet to the next-hop routing node, so that the next-hop routing node determines the corresponding next-hop routing node until the next-hop routing node is the target routing node. The bandwidth utilization rate during data transmission is improved, and the real-time performance of data transmission is improved.

The invention relates to a dynamic routing and flow balancing method and system for a regionalized network topology, and the method comprises the steps: dividing a satellite network into a plurality of partitions, and distributing a core node for traffic scheduling and routing calculation for each partition; each core satellite node responds to each traffic demand, and bandwidth and traffic distribution in each partition are adjusted through a multi-anchor-segment routing method and a preset linear programming model; and each satellite node dynamically adjusts the route of each traffic demand through a probability forwarding scheduling method based on geometric topology according to the relative position of the satellite node and the target node. According to the method, low delay, high bandwidth utilization rate, load balance and efficient fault recovery of the satellite network are realized through network partitioning, a multi-anchor-segment routing method and probability forwarding based on geometric topology.

The invention relates to the technical field of satellite communication networks and on-board buses, in particular to a data deterministic transmission scheduling method for a satellite-borne time-sensitive network. The method comprises the following steps: constructing a satellite-borne network architecture, connecting each terminal and a bus gateway by a TSN management node to form a unified data bus, distributing priority and monitoring link state; performing feature modeling on the data frames to define six-tuple parameters; designing a hierarchical queue architecture comprising a key task queue, a load data queue and a background traffic queue; a dynamic shaping mechanism is adopted, corresponding shaping devices are arranged for different queues, and parameters are set; the invention further provides an anti-disturbance scheduling strategy which comprises dynamic priority improvement and elastic bandwidth allocation. And finally, performing output scheduling according to a strict priority and a weighted fair queue rule. According to the method, by constructing a unified TSN bus and integrating heterogeneous subsystems, low-delay and low-jitter transmission of key task data is realized, the bandwidth utilization rate of scientific load data is improved, the network reconstruction time is shortened, the anti-interference capability is enhanced, and satellite-borne mixed data stream transmission in a high-dynamic and multi-task scene is effectively optimized.

According to the automatic driving data transmission scheduling method and device, the equipment and the readable storage medium, dynamic priority weights are generated in a mode of combining reinforcement learning and a rule engine, and bandwidth demand changes, historical transmission performance and queue occupation states of all sensors can be adapted in real time; the problem that a low-priority sensor cannot acquire the bandwidth at a high load is effectively avoided, and meanwhile, efficient utilization of bandwidth resources can be realized through dynamic weight adjustment when a high-priority sensor is idle, so that the bandwidth utilization rate in a vehicle-mounted multi-sensor data transmission process is remarkably improved; the real-time performance and reliability of data transmission required by automatic driving decision making are guaranteed, and then the overall performance of an automatic driving system is improved.

The invention discloses a bandwidth dynamic allocation method and device, a program product and a storage medium, and relates to the technical field of computers. According to the method, bandwidth use data of a network outlet are collected in real time, the residual bandwidth capacity of the outlet is determined, and the distributable dynamic bandwidth capacity of each interface is calculated by combining an interface weight parameter and an interface stability coefficient calculated based on bandwidth use fluctuation characteristics, so that the residual bandwidth of the network outlet can be reasonably distributed. Meanwhile, a dynamic additional bandwidth mechanism is introduced outside the fixed basic bandwidth, and the dynamic bandwidth allocation weight is determined based on the bandwidth use stability of the authentication terminal and the current bandwidth use state, so that the terminal is not limited by a preset fixed bandwidth upper limit any more, more bandwidth resources can be obtained when the exit bandwidth is sufficient, and the bandwidth utilization rate of the terminal is improved. Therefore, the utilization efficiency of bandwidth resources is improved.

The invention discloses a communication-detection integrated sonar signal design method and device based on multi-pulse composite modulation, and the method comprises the steps: dividing a total frame period into a detection sub-frame and a communication sub-frame, enabling the detection sub-frame to achieve the high-resolution distance measurement through employing a bidirectional linear frequency modulation (BILFM) signal, a communication sub-frame adopts a multi-frequency multi-phase composite modulation (MTPM) signal to realize high-bit-rate data transmission; after band filtering, orthogonal demodulation, low-pass filtering and down-sampling preprocessing are carried out on detection sub-frame echoes, distance and speed information is extracted by adopting fast-time low-sampling two-dimensional fast Fourier transform (2D-FFT), unambiguous Doppler frequency is recovered by utilizing the Chinese remainder theorem (CRT), and accurate speed measurement of long-distance and high-speed targets is realized; a communication subframe receiving signal is subjected to IQ demodulation after down-conversion, Costas loop carrier synchronization and matched filtering, and multi-frequency multi-phase coded data are extracted. According to the method, the time-frequency collaborative design of detection and communication is realized, the distance resolution and the speed measurement range are considered, and the signal bandwidth utilization rate and the underwater information transmission reliability are remarkably improved while the system complexity is kept low. The device comprises a processor and a memory, and an executable program for implementing the method is stored in the memory. The technology can be widely applied to the fields of unmanned underwater vehicles, ocean monitoring, underwater sensing networks and the like.

The invention relates to an activation value re-segmentation communication method for a heterogeneous AI acceleration chip server. The activation value re-segmentation communication method comprises the following steps: scanning through chips, network interface cards and PCIe levels in the AI acceleration chip server, extracting network topology information of the server, calculating delay and bandwidth from each chip to each network interface card, and generating an affinity matrix; based on the affinity matrix, each chip is bound to a network interface card in an exclusive or shared mode through maximum matching; based on the server network topology information, the chip-network interface card affinity and the network interface card and PCIe single line bandwidth, activation value communication mode matching is carried out, and communication modes comprise a transmitting / receiving mode, a transmitting / receiving + collecting mode and a transmitting / receiving + broadcasting mode; and double-level multi-channel communication between the chip and the network interface card is realized. The method has the advantages of remarkably improving the bandwidth utilization rate, being highly adaptive to topology difference, being high in heterogeneous compatibility and the like.

The invention discloses a model performance test method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The theoretical maximum lexical throughput of a target large language model is calculated based on the video memory bandwidth of a graphics processor, the model parameter quantity, the byte number corresponding to the quantization precision and the video memory bandwidth utilization rate; meanwhile, the benchmark performance throughput is obtained, a theoretical corresponding first concurrency number is calculated in combination with the theoretical maximum lexical unit throughput and the concurrency competition loss coefficient, then the model test is executed based on the first concurrency number to obtain the actual maximum lexical unit throughput and a corresponding second concurrency number, and a model performance test result is generated. The problems that in the prior art, due to the fact that manual testing is conducted depending on manual intervention, a continuous approaching attempt mode is adopted, a reasonable test starting point is not deduced in combination with hardware core bottlenecks and key parameters, evaluation is time-consuming and labor-consuming, the result is prone to being affected by artificial factors, and accuracy and consistency are poor can be solved.

The invention discloses a multi-dimensional layered current limiting method based on spatio-temporal feature fusion. The method comprises the following steps: acquiring a hardware limit speed, and generating a global quota based on a reinforcement learning model; calculating a variable coefficient, and if the variable coefficient exceeds a preset critical value, introducing a conservative coefficient and generating a weight factor through nonlinear function mapping to suppress the micro network jitter; constructing a priority factor matrix based on the service priority and the service type, and obtaining a service priority factor; correcting the average bandwidth of the node by integrating the multi-dimensional dynamic weight factor and the service priority factor to obtain a suggested speed, inputting a historical performance index into the LSTM model to predict the load of the next period, and if the historical performance index exceeds a critical value, triggering connection migration before executing current limiting to realize active avoidance; otherwise, comparing and selecting the minimum value of the global quota, the suggested speed and the hardware limit speed as the final current-limiting speed. The problems of current limiting strategy lag and wide oscillation can be solved, and the bandwidth utilization rate and the system stability are improved.

The invention discloses a cross-chip communication method, a direct connection module and a system, which consumes virtual channel credit during arbitration and packet reorganization, supplements the virtual channel credit when unpacked and uploaded to a network-on-chip, ensures that packets are correctly interacted in cross-chip communication through the channel credit, and reorganizes the packets according to a CXS protocol in an arbitration mode. According to the invention, ordered transmission of a plurality of packets in one physical channel is realized, 'starvation 'can be effectively prevented, the packet of a certain virtual channel is effectively prevented from being indefinitely delayed, the bandwidth utilization rate is improved, and the delay and congestion risks of cross-core-particle communication can be reduced.

The invention provides a memory access optimization method and device for an aggregate communication operator and computing equipment, and relates to the technical field of graphics processor computing. The method comprises the following steps: identifying a memory access instruction sequence in a to-be-optimized set communication operator, wherein the memory access instruction sequence comprises a standard loading instruction and a standard storage instruction; replacing the standard loading instruction with a batch loading instruction, and replacing the standard storage instruction with a batch storage instruction; the batch loading instruction and the batch storage instruction are configured to execute batch operation on the continuous memory address space at the thread beam level and finally execute the batch loading instruction and the batch storage instruction, so that the emission number of memory access instructions can be reduced, the scheduling burden of a thread beam scheduler is relieved, and the scheduling efficiency is improved. And the execution efficiency and the bandwidth utilization rate of the ensemble communication operator in the distributed training of the graphics processor are effectively improved.

The invention discloses an atypical sampling bit width data transmission method and device, equipment and a medium. Comprising the steps of obtaining a target transmission protocol and constructing instances according to target transmission protocol requirements; calculating the number of temporary frame bytes according to the instance, and when the number of temporary frame bytes is not an integer, determining that the current scene is atypical sampling bit width transmission; and determining a transmission frame number based on the temporary frame byte number, generating aggregation reconstruction data according to the transmission frame number, and performing data transmission based on the aggregation reconstruction data. By constructing an instance, protocol rules and parameters which need to be followed by data transmission can be determined. An atypical sampling bit width transmission scene is determined by calculating the number of temporary frame bytes, and a scene basis is provided for subsequently adopting an aggregation reconstruction scheme in a targeted manner. By determining the number of transmission frames, the atypical sampling bit width data can meet protocol requirements after being aggregated and reconstructed, redundant bits do not need to be supplemented or the sampling rate does not need to be reduced, protocol compatible transmission of the atypical data is directly achieved, and meanwhile the effective bandwidth utilization rate and the data transmission efficiency are guaranteed.

The invention relates to the technical field of network bandwidth, and particularly discloses an idle time bandwidth multiplexing control method and system based on LSTM (Long Short Term Memory). According to the embodiment of the invention, the method comprises the steps: collecting bandwidth utilization rate data from a plurality of network nodes, carrying out the feature construction and data processing of the bandwidth utilization rate data, and obtaining standard feature data; obtaining historical flow data, training an LSTM model, processing the standard feature data, and outputting an idle time prediction time period; dynamically reserving a part of bandwidth resources according to an idle prediction time period, and constructing a virtual bandwidth pool; receiving bandwidth tasks, performing task classification and identification, selecting delayable tasks, and dynamically matching the delayable tasks to a virtual bandwidth pool for waiting multiplexing; and sampling influence evaluation data in real time, and optimizing the virtual bandwidth pool or task processing. According to the method, the LSTM model can be trained, the idle period can be predicted, the virtual bandwidth pool can be established, space-time dynamic matching of tasks and bandwidths is realized, and it is ensured that the multiplexing process does not affect core services.

The application discloses a network congestion control method and device based on fuzzy rules, and the method comprises the following steps: setting corresponding fuzzy rules according to network types, wherein the network types include a data center network and a wide area network; obtaining network parameters and performing fuzzy processing, fuzzy reasoning and defuzzification on the network parameters to obtain an adjustment factor ΔF, wherein the network parameters include a bandwidth utilization rate, an ECN marking rate and a queue length; obtaining the size of a current congestion window and adjusting the size of the congestion window in real time according to the adjustment factor ΔF; the steps of fuzzy processing and fuzzy reasoning further comprise detecting the current network type, and selecting corresponding fuzzy rules and dynamically adjusting the weight coefficients corresponding to each network parameter in the process of fuzzy reasoning according to the detected network type. The network congestion control method based on fuzzy rules can adjust the network congestion window in real time, realizes the intelligentization and automation of network congestion control, and improves the network management efficiency.

The invention discloses a switch, system and method for data transmission based on a shared pool and a fan-out structure.The switch comprises a plurality of ports, the shared pool and a fan-out cache unit, and the ports comprise the first port and the second port; the first port receives data outside the switch, transmits the data to the shared pool and transmits a first data transmission request to the second port, and the first data transmission request comprises a data length; the second port receives the first data transmission request, and the target port generates a second data transmission request according to the first data transmission request, the data length and the remaining storage space of the target port so as to transmit the second data transmission request to the fan-out cache unit; and the fan-out cache unit schedules the data at the corresponding position in the shared pool according to the second data transmission request and outputs the data to the target port when the residual storage space of the target port is greater than the storage space required by the data length. The bandwidth utilization rate and the response speed of the data exchange network can be effectively improved, and congestion and delay are reduced.

A physical link comprising a set of lanes is configured according to a first lane configuration. In the first lane configuration, a first portion of the set of lanes is disabled and a second portion of the set of lanes serves traffic at a first link speed. A processing device, operatively coupled to the physical link, detects a change to bandwidth utilization of the physical link. In response to detecting the change to bandwidth utilization of the physical link, the processing device configures the set of lanes according to a second lane configuration. In configuring the set of lanes, the processing device configures the first portion of the set of lanes to serve traffic at a second link speed and disables the second portion of the set of lanes.

The invention discloses a data link transmission method for a memory, relates to the technical field of data transmission, and solves the technical problems of resource mismatching, transmission delay increase and throughput reduction caused by mixed transmission of large-capacity data and small-capacity data. Small-capacity data are matched with fast and slow channels according to requirements, the problem of mismatching of data and channel resources is solved, the channels are screened and sorted based on dynamic indexes such as channel real-time loads, transmission speed mean values and periodic bandwidth utilization rates, the data are distributed in combination with a load balancing principle, the channels are prevented from being overloaded or idle, the overall channel utilization rate is improved, and the data transmission efficiency is improved. Secondly, through link optimization of combined packaging, repeated data replacement and priority scheduling, the control overhead and repeated transmission quantity of small data are reduced; meanwhile, a cache mechanism is introduced to multiplex high-frequency data, invalid transmission is further reduced, and delay is reduced.

The invention discloses an unmanned aerial vehicle nest adaptive ad hoc network communication method and device, a communication interface module sends received external equipment data to a scheduling module through a main control module, and the scheduling module adds the external equipment data into queues with different priorities according to the type of the external equipment data; the scheduling module carries out network bandwidth allocation on the data in the queue by using a bandwidth allocation algorithm combined with multi-task deep reinforcement learning and a generative adversarial network model according to the available bandwidth resource of the current frequency band to obtain a bandwidth allocation strategy, and if the data is in a transmitting time slot of the communication device at present, the scheduling module carries out network bandwidth allocation on the data in the queue by using the bandwidth allocation algorithm combined with the multi-task deep reinforcement learning and the generative adversarial network model; according to the technical scheme of the invention, the data in the queue is sent to the baseband module according to the bandwidth allocation strategy and the priority of the queue, and the baseband module transmits the data in the queue through the radio frequency module, so that the reliability and the real-time performance of key service transmission are preferentially ensured, the bandwidth utilization rate is effectively improved, and the efficiency and the reliability of the nest communication of the unmanned aerial vehicle are improved.

Systems and methods for predicting network interference. First history data on terrestrial network cell-to-user device transmissions in a terrestrial network is obtained. And second history data on user device-to-non-terrestrial network satellite transmissions in a non-terrestrial network is obtained. An artificial intelligence mechanism is employed on the first and second history data to generate a model of historical terrestrial network cell downlink transmission interference on historical non-terrestrial network satellite uplink transmissions of a non-terrestrial network satellite in the non-terrestrial network. The current terrestrial network cell downlink transmission interference on current non-terrestrial network satellite uplink transmissions is predicted based on the generated model. At least one bandwidth utilization scheme is modified for at least one terrestrial network cell of the terrestrial network and the non-terrestrial network satellite of the non-terrestrial network based on the predicted current terrestrial network cell downlink transmission interference.

The invention relates to the technical field of image transmission, in particular to a remote image transmission system and method based on a compression algorithm, and the method comprises the steps: 1, image blocking and feature extraction; 2, performing block importance dynamic classification; 3, differential compression and layered packaging are carried out; 4, channel adaptive transmission control: dynamically adjusting a transmission strategy according to a real-time channel bit error rate, and when the bit error rate exceeds a threshold value, pausing non-key data layer transmission and migrating non-key blocks to a key data layer according to high compression strength; calculating a bandwidth allocation factor based on the bit error rate and the non-key block proportion, and dynamically controlling the sending amount of a non-key data layer; and step 5, hierarchical reconstruction of the receiving end. By combining a plurality of technologies such as image partitioning, dynamic classification, differential compression, channel adaptive control and receiving end reconstruction, the bandwidth utilization rate is effectively optimized while the image quality is ensured.

The invention discloses a distributed optical fiber logging signal processing method and system. The content comprises data acquisition, edge processing, edge collaboration, wellhead data fusion and inversion and signal output. The invention relates to the technical field of optical fiber signal processing, in particular to a distributed optical fiber logging signal processing method and system.According to the scheme, short-time energy triggering event fragment extraction and edge reconfigurable compression based on phase asynchronous alignment and a measurement core are implemented at an optical fiber sensing node, alignment precision is improved, reversible reconstruction is reserved, and the optical fiber sensing node is subjected to energy extraction; the communication burden is relieved, and weak event detection is enhanced; through multi-dimensional feature quantification and confidence scoring, self-adaptive cutting of a measurement kernel and dynamic quantitative distribution, and scheduling at a wellhead according to confidence and information value priority, high-value data low-delay transmission is realized, and the bandwidth utilization rate is improved; and based on alignment delay correction and confidence weighting fusion of the whole well waveform, weighting inversion is adopted to position the event and estimate the wave velocity, and the precision and the credibility are improved.