25 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 is suitable for the technical field of network congestion control, and provides a power system RDMA network dynamic congestion control method based on a DCQCN, and the method comprises the steps: collecting the multi-source state data of a power system in real time; inputting the multi-source state data into a preset electric power feature fusion model, and generating a dynamic ECN parameter group containing an ECN marking threshold value, a marking probability and a rate regulation factor; executing dynamic ECN marking on the data packet based on the dynamic ECN parameter group, and embedding a lightweight HMAC signature based on an electric power PKI system into the electric power service message with the highest priority; when a congestion event is detected, discarding a data packet which does not pass the HMAC verification, generating a security alarm log, and migrating congestion link flow to a standby loop according to a service priority weight based on a power double-loop network topology structure; and issuing the congestion decision result to a physical equipment control layer through the electric power SDN controller. According to the invention, while the service quality of the key business is guaranteed, collaborative optimization of the communication network and the power physical system is realized.

The invention provides an electric vehicle energy assessment method based on dynamic wireless charging, and the method comprises the following steps: S1, determining a target road network, and constructing a microscopic traffic simulation model with the same geometric condition as the target road network on traffic simulation software; s2, calibrating the microscopic traffic model based on traffic flow data, link flow data and travel data in the field annular detector; s3, based on the total power loss of the generator efficiency and an electric vehicle battery charge calculation method, obtaining an improved SOC model of the electric vehicle; s4, taking the improved SOC model of the electric vehicle proposed in the S3 as a simulation software plug-in, and constructing a heuristic framework; s5, determining the DWC length through the set alpha and beta values and the calculated SOC value; and S6, evaluating the energy demand of the electric vehicles according to the average driving time of the charging road section and the total number of the electric vehicles within the given time based on the bidirectional lane changing behavior. According to the invention, optimization of the layout of the electric road system is facilitated, and the requirements of traffic flow and energy are better met.

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 dynamic configuration method and device for a multi-link transfer service and a medium, and relates to the field of computers, and the method comprises the steps: receiving a first access request of a target service, and adding service configuration information to a service registry of a multi-link service framework; reading original metadata in the multi-link business framework, and updating the parameterized variables to obtain corresponding target adaptive metadata; triggering a business link circulation event, and verifying the operation authority of the current trigger end based on the current adaptive metadata corresponding to the current business link in the multi-link business framework; after the verification is passed, generating a link state change instruction; and executing the link state change instruction, matching a corresponding target physical storage space based on the link type and the current service unique identifier, and storing the link data into the target physical storage space. Through registration and configuration modes, the business process can be flexibly adjusted along with the change of requirements, and the expansion requirements of various scenes can be effectively met.

A route information generating device according to the present disclosure includes: a first route data acquiring unit that acquires first route information calculated using a first map; a second map acquiring unit that acquires a second map displayed in a different format from that of the first map; a link determining unit that determines whether first node information is linked to a second link based on the first route information and the link information; and a second route information creating unit.If a second node associated with a certain first node does not comprise a second outflow link leading out of the second node and corresponding to a first outflow link leading out of the first node, the linking information comprises information for linking a further second outflow link flowing out of a further second node in the vicinity of the second node, and if the second node does not comprise a second inflow link flowing into the second node and corresponding to a first inflow link flowing into the first node, the linking information comprises information for linking a further second inflow link flowing into a further second node in the vicinity of the second node to the first inflow link.

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 present invention belongs to the field of remote monitoring technology and discloses a remote control method and terminal for an automatic fire alarm system. The remote control method comprises the following steps: detecting main link signal parameters, generating a real-time status in combination with terminal data, extracting candidate link flow capacity ratios and base station processing capacity scores when signals exceed limits, scanning frequency band interference, weighted screening of subcarriers, migrating smoke signals, analyzing path loss and reflections, generating thermal coordinates in combination with a building structure database, and outputting monitoring results. The present invention regularly monitors signal strength, bit error rate, and transmission delay, introduces dynamic weighted optimization for link selection, improves link switching flexibility and efficiency, uses a signal allocation strategy to enhance responsiveness to environmental changes, and enhances monitoring flexibility and reliability, and uses path loss and multipath reflection number analysis to ensure effective signal screening, thereby improving the efficiency and accuracy of remote monitoring.

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 present disclosure relates to methods and apparatuses. According to some embodiments of the disclosure, a method includes: receiving, at a communication device, a configuration message including a threshold to configure the communication device; and 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.

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 application provides a low-cost multi-hop link transmission method and system for a signal-free holder, relates to the technical field of multi-hop transmission of a holder, and comprises the following steps: abstracting the holder in a monitoring area as a node set, and determining a wireless directional link set according to the distance between nodes and the wireless coverage radius; taking the sum of the wireless transmission and the node storage hardware cost of the whole network as the target for minimization, and constructing a weighted sum target function; establishing the uniqueness of the next hop, the consistency of the link flow selection, the upper bound, the flow conservation and aggregation, the 4G node wireless external transmission restriction, the node storage capacity and the acyclic constraint, and constructing a mixed integer linear programming model; combining the calibration parameters, using a mixed integer programming solver to obtain the optimal solution of the model, that is, the next hop of the non-4G node, the link code rate and the node storage capacity, and generating a multi-hop link transmission strategy, so as to accurately determine the unique next hop of the non-4G holder and form an acyclic convergence topology, ensure that the image flow reaches the 4G node, and reduce the transmission cost.

In some embodiments, there may be provided a method that includes receiving a first traffic matrix; receiving information regarding links associated with each segment of the network; determining a total amount of segment flow using the at least one non-linear deflection parameter applied to the traffic demand of the first traffic matrix; determining a link flow for each of the links using the total amount of segment flow and the second input to the machine learning model; determining link utilization for each of the links using the link flows and a capacity for each of the links; learning, by the machine learning model using a gradient descent, a minimum of a maximum amount of the link utilization over the links by at least adjusting a value of the at least one non-linear deflection parameter. Related systems, methods, and articles of manufacture are also disclosed.

The invention discloses a method for realizing dynamic ad hoc network of equipment based on a distributed communication bus, which comprises the following steps of: periodically sending a network detection packet to the outside after side equipment is started; all known communication connection states on opposite-end equipment directly connected with the equipment are detected through network detection; the side equipment automatically identifies a network topology connection relation according to an actual network detection result; under the condition that the networking condition of the field station area equipment is changed; based on routing forwarding of different transmission protocols among different transmission channels, multiple networking modes such as a ring network mode, a bus mode and a hand-in-hand mode and cross-channel forwarding are supported; the edge side equipment is supported to serve as a forwarding node to transparently forward data to other edge side equipment in a cross-channel manner; a plurality of encryption algorithms are negotiated and selected between end-to-end communication; for point-to-point communication, channel-level reliable transmission and link flow control of equipment are realized based on a sliding window; a detection processing mechanism is established for active closing and passive closing of a link, and the flexibility, the stability and the high efficiency of power networking can be ensured.

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 invention provides a low-cost multi-hop link transmission method and system for a non-signal transmission holder machine, and relates to the technical field of holder machine multi-hop transmission, and the method comprises the steps: abstracting holder machines in a monitoring area into a node set, and determining a wireless directed link set according to the distance between nodes and the wireless coverage radius; constructing a weighted sum objective function by taking the minimum sum of the cost of whole network wireless transmission and node storage hardware as an objective; establishing next hop uniqueness, link flow selection consistency and upper bound, flow conservation and aggregation, 4G node wireless outgoing limitation, node storage capacity and acyclic constraint, and constructing a mixed integer linear programming model; and in combination with calibration parameters, a mixed integer programming solver is used to obtain an optimal solution of the model, i.e., a next hop of a non-4G node, a link code rate and a node storage capacity, and a multi-hop link transmission strategy is generated, so that the unique next hop of the non-4G holder machine is accurately determined, an acyclic convergence topology is formed, image traffic is ensured to reach the 4G node, and the transmission cost is reduced.

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.