15 results about "Link flow" patented technology

The invention discloses a flowmeter-oriented embedded multi-parameter fusion calibration control method and system, relates to the technical field of industrial measurement and embedded control, and is used for solving the problem of unstable calibration caused by misalignment of multi-link flow signals, compensation lag and fusion oscillation. The method relates to synchronous acquisition, pretreatment and calibration of differential pressure type, ultrasonic wave and thermal type mass measurement links and environment parameters such as temperature, pressure and density. All-channel unified time scales are established through ternary binding, filtering and denoising, zero snapshot and alignment rules, a stability scoring mechanism is constructed in combination with offset behavior recognition, event classification and feature aggregation, and dynamic switching of a compensation path and a fusion strategy is driven. In a double-path fusion structure, table look-up compensation, model estimation, multi-algorithm parallelism and fusion track recording are adopted, version traceability and calibration result closed-loop control are achieved, and the stability and rechecking performance of mass flow output under complex disturbance are effectively improved.

The invention discloses a multi-link flow scheduling method and device based on convergence and shunting, and a medium, and relates to the technical field of flow scheduling, and the method comprises the steps: collecting access messages, merging flow clusters, carrying out the statistics of the total business volume and the message number of the flow clusters, generating a business observation column and the average message length, executing link light detection and interface counting, and generating a link observation column; generating a normalized service volume sequence and a service discrimination threshold, obtaining a service phase sequence, generating a bearing state quantity and a link discrimination threshold, and obtaining a link phase sequence; generating a phase conflict value sequence and a time limit carrying quantity sequence, forming a candidate link set, solving a synchronization completion moment, and generating a link service quantity; according to the candidate link set and the link traffic, in combination with the average message length and the message number, the final number of continuous message blocks is generated, the continuous message blocks are segmented, and shunt sending is executed, so that link selection and service distribution are more targeted, and the coordination, the performability and the stability of multi-link traffic scheduling are improved.

The invention discloses a traffic flow prediction method in a dynamic user equilibrium environment based on a graph neural network, and the method comprises the following steps: S1, constructing a heterogeneous traffic graph structure containing a virtual OD road section, and obtaining node features and road section features; s2, preprocessing the node features through a multi-layer perceptron to obtain low-dimensional node embedding; s3, the nodes are embedded and input into a space-time diagram encoder composed of a space virtual diagram encoder, a space real diagram encoder and a time real diagram encoder in sequence, and encoding node features are output; s4, decoding the coding node features through a space-time diagram decoder to obtain decoding node embedding; and S5, for each actual road section, splicing the decoding node embedding of the nodes at the two ends and the road section characteristics into road section embedding, and inputting the road section embedding into the prediction network to obtain the link flow and the utilization rate so as to complete traffic flow prediction. According to the method, remote OD dependence can be effectively captured, and the traffic flow prediction precision and the calculation efficiency are remarkably improved.

The invention discloses an FTTx broadband user traffic bottleneck diagnosis and prediction analysis method, and aims to solve the problem that the user-level traffic bottleneck is difficult to accurately recognize and early warning is difficult to carry out in the prior art. The method comprises the following steps of: firstly, restoring an FTTx network physical and service double-layer topology by collecting and acquiring multi-source data, and constructing an end-to-end complete link flow evaluation system; further, an initial sample is marked by utilizing complaint work order data, a light GBM and MLP combined model is adopted to construct a traffic bottleneck diagnosis model, traffic bottleneck users are accurately identified, and traffic bottleneck ports and services are accurately delimited; and finally, based on the extended derivative features, a TFT time sequence model is adopted to construct a traffic bottleneck prediction model, and advanced perception and early warning of the traffic bottleneck are realized. According to the method, a'diagnosis-positioning-prediction 'closed loop is formed, and an intelligent operation and maintenance decision scheme and tool are provided for an operator to realize active network optimization and value-added service taking user experience as a center.

The invention relates to a link traffic data processing method and device, electronic equipment and a storage medium, and the method comprises the steps: determining traffic call description information of at least two call objects according to call link data generated by a service system in response to a service call request; the at least two calling objects comprise at least two of services, interfaces and links in the business system; comparing the difference between the traffic calling description information of each calling object, and determining the traffic calling amplification condition of each service; according to the resource consumption condition of each service and the traffic calling description information of each service, determining an abnormal service from each service; and inputting the resource consumption condition of the abnormal service and the traffic call amplification condition of the abnormal service into a pre-trained large model, and generating link optimization indication information of the abnormal service. According to the invention, the link flow management efficiency can be improved.

The application relates to the technical field of network flow control, and discloses a multi-link flow control method based on bucket multiplexing, which is applied to a flow control device, the flow control device comprises a first bucket space, a second bucket space and a plurality of interface groups for receiving traffic, comprises determining a logical link identifier based on traffic identification information for the traffic entering the flow control device, obtaining corresponding target bucket addressing information, and jointly executing flow control according to the interface groups to the corresponding buckets in the first bucket space and the second bucket space, and then splitting the target total flow control rate into a first flow control rate and a second flow control rate according to the traffic distribution information in the double-bucket space and respectively configuring the first flow control rate and the second flow control rate. The method realizes the expansion of the link flow control capability without increasing the number of physical buckets and improves the stability of the double-space joint flow control.

This disclosure provides a training method and apparatus for a traffic restriction information extraction model. The method includes: acquiring vehicle travel trajectories at multiple intersections and multiple travel link pairs corresponding to each intersection; wherein, each travel link pair includes an inbound link and an outbound link matching the inbound link; matching the trajectory points of the vehicle travel trajectories with the multiple travel link pairs to generate matched link pair travel trajectories; and training a model based on the extracted detour features, link pair topology features, and link flow features in the link pair travel trajectories to obtain a traffic restriction information extraction model. This disclosure can reduce the dependence on trajectory sampling coverage, solve the problem of missing matching on short roads, and detect intersection restrictions using trajectory detour features, avoiding detour interference.

The invention relates to the technical field of application testing, and discloses a vehicle-mounted application fault analysis method and device, electronic equipment and a storage medium. The method comprises the following steps: defining function items, node specifications and user interface items; constructing a mapping relationship among the function items, the node specifications and the user interface items to generate a full-link flow table; defining log output specifications of all link nodes; after the vehicle-mounted application test task is started, the vehicle-mounted application test task is completed based on the full-link flow table, and a test log is output according to a log output specification; and if the test log has a fault, sequentially executing function traversal, node traversal and log analysis operation based on the fault log information and the full-link flow table so as to complete the fault analysis operation of the vehicle-mounted application. The problem can be quickly positioned based on the fault log and the flow table, the maintenance time consumption is reduced, and the misjudgment rate is reduced.

The invention relates to an exception handling method and device for a power system, equipment, a storage medium and a program product. The method comprises the following steps: firstly, collecting full-link flow data of a power generation side, a power transmission side, a power distribution side and a user side, and extracting basic characteristics reflecting flow macroscopic statistical attributes, protocol characteristics reflecting electric power special and general protocol service characteristics, and time sequence characteristics representing flow dynamic change rules; then, integrating the three types of features into a fusion feature matrix and inputting the fusion feature matrix into a detection model to output a traffic anomaly probability, and finally, according to a comparison result of the anomaly probability and two preset thresholds, respectively executing differentiated disposal operations of cutting off a suspicious link and early warning, starting a manual review process, judging as normal traffic and recording. And a technical process of full-link acquisition, multi-dimensional feature fusion, model quantitative detection and hierarchical closed-loop treatment is formed. By adopting the method, accurate and rapid detection of abnormal traffic can be realized, and a safety protection system is constructed for a power system.

The invention relates to a method and apparatus for radio link traffic control. In accordance with some embodiments of the present disclosure, a method includes: receiving, at a communication device, a configuration message including a threshold for configuring the communication device; if the occupied buffer size of the communication device is equal to or greater than the threshold, a congestion indication is transmitted from the communication device.

The application discloses a kind of communication module test method and device, storage medium, electronic device, wherein, the above-mentioned method includes: determine the virtual backplane that virtual backplane program simulated is enabled on mobile terminal, wherein, virtual backplane is simulated by virtual backplane program The program with the function of target home appliance equipment backplane;In the case where virtual backplane exists communication module to be measured, the communication channel of virtual backplane and communication module to be measured is established by serial port;Through communication channel, receive the device instruction that Internet of Things cloud end issues through communication module to be measured, and determine the response result of virtual backplane to device instruction, wherein, response result is uploaded to Internet of Things cloud end via communication module to be measured, solve the problem that cannot be realized from data level to test and analyze communication module, to realize the accurate collection of each link flow transfer data corresponding to communication module to be measured, improve the test efficiency of communication module to be measured and the coverage of test instruction.

The invention discloses a dynamic interactive topological graph generation method, system and device for displaying bidirectional link flow and load in real time and a medium, and belongs to the technical field of network topology visualization. The technical problem to be solved by the invention is how to overcome the defects that a traditional static topological graph cannot reflect load transition of a bidirectional link or ports at two ends of the link in real time and lacks interaction capability, and the network operation and maintenance efficiency and the fault positioning accuracy are improved. According to the technical scheme, real-time data of a link is mapped into corresponding visual attributes through a data binding and visual coding technology, and the network operation state is visually reflected; the method specifically comprises the following steps: receiving or acquiring network topology data through widget Data attributes or an API (Application Program Interface); according to the createGraphEvents method, an event monitor is bound to a G6 graph instance, so that the interaction operation of a user is received and responded; wherein the interactive operation comprises the steps of clicking nodes or links to check details, aggregating or expanding the nodes and the links according to a strategy and switching a layout.

The present disclosure relates to methods and apparatus. According to some embodiments of the present disclosure, a method comprises receiving, at a communication device, a configuration message comprising a threshold value for configuring the communication device; transmitting, from the communication device, a congestion indication if an occupied buffer size of the communication device is equal to or greater than the threshold value.

The application discloses an e-government data full-link quality supervision method and system, and the method comprises e-government data aggregation, feature space construction, government data quality representation, business category weight construction, quality supervision loss construction, data quality evaluation model design and e-government data quality supervision. The application belongs to the field of data processing, and specifically refers to an e-government data full-link quality supervision method and system. In the index structure of the link flow conversion entropy embedded business situation awareness coefficient, the following is realized: the imbalance compensation strength of the e-government data distribution is dynamically amplified with the process complexity; the weight modulation gradient component and the smooth constraint gradient correction component are divided, the former half encodes the dynamic modulation caused by the business distribution and the abnormal concealment degree, and the gradient gain compensation is performed on the minority business and the scarce government data; the latter half corresponds to the gradient correction of the smooth constraint, and then the e-government data full-link quality supervision effect is improved.

The embodiment of the invention provides a load sharing method and device, a packet switching router and a line card board, and the method can determine whether a link is in a congestion state or not for a single line card board based on the load states of an uplink port and a downlink port. The traffic of the link in the congestion state can be shunted to a plurality of shunting links from the current line card board to the destination line card board, wherein the shunting links can comprise idle links formed by idle uplink ports. Visibly, according to the embodiment of the invention, link flow distribution can be carried out on the link in the congestion state in the packet interaction router by utilizing the idle uplink port of the single line card board, so that single-board-level load sharing for the single line card board is realized; the problem of link congestion caused by uneven load between the line card board and the switching network board in the packet switching router is solved.