152 results about "Network measurement" patented technology

The invention discloses a network flow measurement method and device based on a data packet interval sketch data structure and a medium. Each arriving data packet is mapped to each corresponding bucket in a sketch data structure through a plurality of independent hash functions, the sketch data structure is a two-dimensional array form structure comprising multi-row and multi-column buckets, and empty bucket processing, identical flow updating or conflict flow replacement judgment is executed according to the conditions of the data packets and the buckets. According to the method, a brand-new interval value sketch is designed, and efficient and accurate large flow detection is realized on the premise of high processing speed and low memory occupation by comprehensively utilizing two pieces of multi-dimensional statistical information of the flow estimation value and the data packet interval. Meanwhile, the large flow and the small flow in the network environment can be well distinguished, so that the method can be better suitable for network measurement tasks in different scenes such as large flow detection and abrupt flow detection.

A management node local to a customer site of a private communications network stores a model. The model is a compact version of a visual language model remote from the customer site. A first screen shot of a dashboard of telemetry data measured from the private communications network is accessed. A prompt is formulated comprising the first screen shot and information to adapt the model to the private communications network via few shot learning. The prompt is submitted to the model. An output is received from the model comprising textual information about anomalies or trends depicted in the first screen shot. The output is checked against data from a statistical model of the telemetry data, the statistical model being independent of the model. In response to the check being successful, an action is triggered to manage the private communications network according to the output.

The invention belongs to the technical field of measurement and positioning, and particularly relates to an aircraft manufacturing measurement and positioning method, which deeply combines an interference networking measurement method and a space coordinate measurement method of a laser tracker, adopts interference networking to construct a global coordinate system # imgabs0 # by reference control TB points in a small amount of open space, and performs re-system by reference control TB points in an effective distance measurement range. According to the method, an expanded reference ERS point is expanded, a local expanded reference system # imgabs1 # is established to measure and position a local measurement object, the sequence and boundary of global measurement and local measurement in the measurement process according to size chain superposition are defined, and the method has high measurement precision.

The invention relates to the technical field of communication, and provides an unmanned aerial vehicle swarm networked measurement and control communication system and method, and the architecture of the communication system comprises a network layer, a link layer and a physical layer. A routing protocol in the network layer uses a cross-layer pulse routing protocol, and all nodes multiplex a neighbor connection relationship in two hops of the link layer in a cross-layer manner; the link layer adopts a pre-allocation and dynamic negotiation resource management strategy based on a time division multiple access protocol and a storage scheduling strategy based on a service quality level; and the physical layer adopts an MIMO technology and an adaptive modulation and coding technology, and supports different service transmission requirements of multiple users. According to the invention, the problems of low channel utilization rate and slow response to dynamic topology change can be solved, and high-capacity information transmission, inter-aircraft cooperative information distribution and unmanned aerial vehicle networked measurement and control services are supported at the same time.

The invention discloses a method for identifying an interface address of an IPv6 router, and belongs to the technical field of network measurement. The method comprises the following steps: acquiring an IPv6 prefix list, and initializing experience information; selecting a current target IPv6 prefix according to the IPv6 prefix list, randomly generating a specific detection target in the current target IPv6 prefix, evaluating the effectiveness of the specific detection target by using experience information, and retaining the effective specific detection target; repeating the operation until the number of specific detection targets reaches a set value; performing stateless online detection according to each specific detection target to obtain a detection result; and updating the experience information, iterating the detection operation until the total quantity of the sent data packets reaches the total detection budget, obtaining the reachable interface address and relative position of the local address based on the detection result in each round of iteration, and completing the interface address identification. According to the invention, the problem that the existing method cannot adaptively allocate detection resources and minimize unnecessary detection is solved.

The invention belongs to the technical field of aircraft assembly measurement, and particularly relates to an aircraft assembly tool measurement field measurement reference point spacing laser tracker measurement method, which comprises the following steps of: calibrating and constructing a distance measurement coordinate system by adding an alignment measurement point to be combined with a reference measurement point and utilizing an absolute distance measurement function of a laser tracker; and a multi-degree-of-freedom precision adjustment structure of the articulated arm robot is utilized to position the laser tracker on an epitaxial line of the reference measurement points, so that the high-precision measurement of the distance between the two reference measurement points is realized, the networking measurement error of the laser interferometer can be corrected in a high-precision manner, and the high-precision measurement of a large aircraft assembly site is realized.

The invention provides a network measurement method and related equipment, and belongs to the technical field of communication. In the method, an analysis device obtains first network measurement data of a plurality of target queues, and obtains second network measurement data of a target data stream according to the first network measurement data of the plurality of target queues. Wherein the plurality of target queues are queues for forwarding the target data streams. According to the method, the network measurement data of the target data stream is obtained by forwarding the network measurement data of the plurality of target queues of the target data stream, so that processing such as dyeing of data packets in the data stream and packaging of additional message headers is not needed, and the cost of network measurement is reduced.

The invention relates to a low earth orbit satellite network measurement method, device and equipment, a medium and a product. The method comprises the steps that a topological graph of a low earth orbit satellite network is acquired, an Euler loop is determined according to the topological graph, and the topological graph comprises a plurality of satellite vertexes and edges between the adjacent satellite vertexes; determining a detection path set according to the Euler loop, and determining a report path set according to the detection path set; and collecting network state information of each satellite vertex based on the detection path set, and transmitting the network state information of each satellite vertex to a ground station for network measurement based on the report path set. By adopting the method, the whole-network state measurement of the super-large-scale low-orbit satellite network can be realized.

The present invention discloses a neural network measurement and calibration system and method for TDL-TDC, the system comprising: a TDL-TDC module, which uses a code density calibration method to complete the initial calibration of the delay chain and obtain an initial calibration value; a temperature sensing module, which collects the system operating temperature on the FPGA chip and obtains operating temperature information; a host computer neural network calibration module, which builds a multi-layer learning network, uses the operating temperature information and the initial calibration value as the input of the network, outputs the delay time of the delay unit, and establishes a corresponding nonlinear change relationship between the temperature information and the delay time of the delay unit. The present invention finds out the corresponding nonlinear change relationship between the delay time data of the delay unit and the temperature data through the learning network, and in actual work, only one calibration and temperature collection are required to obtain a more accurate nonlinear calibration result of each section of the current delay chain.

The invention provides a service flow analysis method, device and system, and belongs to the technical field of networks. A network management device obtains measurement task information of a service and issues a measurement command to a plurality of network devices so as to instruct the network devices to count flow characteristics of flows flowing through the network devices. Wherein the service comprises a plurality of service flows, and the measurement task information comprises device identifiers of a plurality of terminal devices associated with the service. And after receiving the measurement results reported by the plurality of network devices, the network management device determines a flow analysis result corresponding to the service according to the measurement results sent by the plurality of network devices and the device identifiers of the plurality of terminal devices. By collecting the flow characteristics corresponding to the flow identifiers of the flows passing through the multiple network devices in the network, the flow analysis result corresponding to the service can be determined according to the flow characteristics of the multiple service flows of the service, network measurement with the service as granularity is achieved, and monitoring and analysis of the service quality are facilitated.

An apparatus, method and compute program is described comprising receiving (at a network node) one or more network node configuration messages from a control module, wherein each network node configuration message relates to network measurement of one or more restricted access resources for one or more groups of users of a public land mobile network, wherein the one or more restricted access resources are indicated within the network node configuration messages with one or more resource indicators; and sending one or more user device configuration messages to one or more selected user devices respectively, each user device configuration message including one or more resource indicators and one or more parameters, wherein the one or more resource indicators identify the one or more restricted access resources.

In one implementation, a device may detect a drop in an amount of agents reporting network measurements for a network component; identify, based on network measurements from before and at a time of the drop, a network component set associated with the drop; generate, based on the network component set, a pseudo-measurement to represent absent data associated with the drop; and provide the pseudo-measurement as an input for root cause analysis.

The invention relates to the technical field of network measurement, in particular to a method and a device for measuring inconsistency of inbound source address verification filtering, and the method comprises the following steps: fixing all flow identifiers in ICMP (Internet Control Message Protocol) unreachable information messages so as to execute multiple rounds of ICMP unreachable information measurement on each measurable target to obtain a first measurement result; changing a preset flow identifier in the ICMP unreachable message so as to execute multiple rounds of ICMP unreachable message measurement on each measurable target to obtain a second measurement result; and determining whether the load balancing causes instability of the inbound source address verification measurement according to the first measurement result and the second measurement result. Therefore, the problem that the traditional method cannot judge whether the observed filtering inconsistency originates from the real strategy difference in the network or the detection message is distributed to different inlet paths in a load balancing manner is solved.

The invention discloses a network measurement data completion method and device based on incomplete multi-view analysis, and the method comprises the steps: firstly decomposing a recovery problem of a fine-grained network measurement tensor into two perspectives of space consistency and time complementarity for joint modeling, constructing a deep learning model for tensor completion, and then training the model; and inputting a measurement tensor of network measurement data containing missing values into the trained model, performing forward propagation processing on the observation measurement tensor through a plurality of stages of the model, solving an optimization problem of joint modeling in an iteration mode, and outputting a recovered complete data tensor. According to the method, the tensor recovery problem is innovatively decomposed into two orthogonal views of space consistency and time complementarity for joint modeling, wherein the space view restrains a global topological structure through a graph tensor nuclear norm, and the time view captures a node heterogeneous evolution mode through CP decomposition. And a cross-node attention mechanism is further introduced to realize spatio-temporal feature alignment and fusion.

There is provided an apparatus comprising: means for retrieving a configuration for a time window to perform network measurements in; means for associating the time window with a first receive element of a user equipment; and means for, during the time window, performing a network measurement using the associated first receive element and receiving downlink data using a second receive element of the user equipment.

The invention discloses a grounding grid measuring point optimization arrangement method based on considerable network topology, and belongs to the technical field of substation grounding grid corrosion diagnosis. According to the method, firstly, an accessible node matrix and a node adjacent matrix of the grounding grid are established, the network topology observability of the grounding grid is analyzed, then, the observable inequality constraint of the grounding grid is established according to the network topology observability, a measuring point optimal configuration model is further deduced, and finally, a target measuring point set is obtained. The test point optimization of the grounding grid and the comprehensive testability of the grounding grid are realized, and the test process is simplified. Furthermore, under limited measuring point resources, grounding grid branch information is obtained as much as possible, comprehensive diagnosis coverage is ensured, the accuracy of grounding grid diagnosis is improved, and unnecessary measuring point redundancy is reduced.

The present invention discloses an adaptive heavy hitter detection method for programmable switches, which combines network measurement methods based on state measurement and flow measurement to achieve adaptive heavy hitter detection. Based on the state information regularly obtained from the state measurement module, the present invention can provide the most appropriate measurement tasks for different time slices, and call the flow measurement module to dynamically select the corresponding processing logic to detect specific heavy hitters. In addition, the present invention can increase the measurement accuracy to the limit with less memory usage by adding a method of accurate statistical flow table, and further effectively distinguish the types of heavy hitters obtained by measurement. The present invention verifies the feasibility of the invention by building a real network topology and using a real network traffic data set containing multiple heavy hitter traffic.

The invention discloses an in-band network telemetering method, device and system based on SRv6 Behavior, and relates to the field of network measurement. According to the method, an END.INTx function is configured on an SRv6 node, so that the node collects network performance data while processing SRv6 forwarding, and the data is stored in a Segment List of an SRH according to a 128-bit format; and configuring an INTUpload function for the specified node to upload the accumulated data. The method does not need head node dyeing of traditional INT, uses the SRH to bear telemetering data, reduces equipment processing pressure and bandwidth consumption, realizes accurate telemetering consistent with a service path, and is suitable for real-time performance monitoring of an SRv6 network.

The present application provides a measurement method and a communication device. The method may comprise: receiving measurement configuration information, wherein the measurement configuration information is used for serving cell measurement based on an on-demand synchronization signal block (SSB); and measuring the on-demand SSB of a serving cell on the basis of the measurement configuration information, and sending a measurement result. Upon the introduction of the on-demand SSB, a network side can configure, for a terminal device, a measurement configuration based on the on-demand SSB, such that the terminal device can measure the serving cell on the basis of the on-demand SSB. In addition, the on-demand SSB can be densely sent, and the measurement result of the on-demand SSB can be understood as a real-time measurement result. Therefore, the measurement result based on the on-demand SSB can be immediately used for network measurement so as to perform management, such as carrier management, on the basis of the measurement result.

The invention provides an AIoT device data priority scheduling method based on an SD-WAN, and relates to the technical field of data processing, and the method comprises the steps: analyzing device data at an AIoT gateway or an SD-WAN edge device into data atoms containing a security domain identifier, a service type identifier, a data size, a deadline, a basic value, an attenuation coefficient and a reliability requirement; an instant value function is generated; the edge device collects network measurement data for the superposition tunnel path according to a preset measurement period, calculates a path time delay quantile and a path packet loss rate quantile, obtains a deliverable coefficient and an expected delivery value of a data atom on each path, and further calculates a unit byte scheduling index; selecting the maximum scheduling index to send under the constraint of credit balance; when the deliverable coefficient is lower than the reliability requirement, double-path copying or system code action is executed, and a receiving end carries out duplicate removal and expired discarding; and the edge device reports statistical information, and the controller updates the next window allocation to realize closed-loop scheduling and resource isolation.

The application discloses an online network measurement flow recovery method, a terminal device and a storage medium. Network flow data at each moment is modeled according to a two-dimensional matrix model; a basic subspace column is trained according to flow data at historical moments, and indexes of the columns are marked, and a leverage score is obtained by calculation; according to the indexes of the subspace columns, a subspace column that needs full sampling at the current moment is selected, and only part of elements in the remaining columns are sampled; whether sampling needs to be continued is judged according to a sampling matrix at the current moment; when a maximum residual value is less than a certain threshold, unsampled data is recovered by using subspace matrix filling; when the maximum residual value is greater than a certain threshold, columns that need to be continuously measured are selected according to residual sizes, a column space is updated, and then the unsampled data is recovered. The application solves the problems of low recovery precision and inability to recover online in the prior art, and realizes online network measurement with low overhead.

The embodiment of the invention discloses a network measurement deployment method, device and equipment and a computer readable storage medium, and belongs to the technical field of communication. The network measurement deployment method comprises the following steps: generating a target service between a transmitting end and a reflecting end; generating network measurement data according to the target service and preset communication information; and issuing network measurement data to the transmitting end and the reflecting end to realize bidirectional activation detection. According to the embodiment of the invention, the configuration of each router in the network is realized through the composer, the defects of possible errors, time-consuming debugging and low efficiency of manual configuration are avoided, and the configuration efficiency can be remarkably improved.

There is provided a computer-implemented method for configuring at least one first access point (AP) device of a telecommunications network. The at least one first AP device is comprised in a first environment of the network. The orientation of the at least one first AP device is remotely configurable. The method comprises obtaining (102), from at least one first wireless device of the network, first information indicative of a network measurement associated with the at least one first wireless device. The method also comprises obtaining (104), from the at least one first AP device, second information indicative of a status of the at least one first AP device. The method also comprises determining (106), using a machine learning (ML) model, an orientation configuration of the at least one first AP device based on the first information, the second information, third information, and fourth information. The third information is indicative of a target state of the network, and the fourth information is indicative of one or more characteristics of the first environment.

The invention relates to a data processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a simulation measurement data set and a current network measurement data set; determining a frequency domain difference value and a time domain difference value between the simulation measurement data set and the current network measurement data set, and determining a total difference value between the current network measurement data set and the simulation measurement data set according to each frequency domain difference value and each time domain difference value; and under the condition that the total difference value is greater than or equal to a preset total difference value threshold value, optimizing the simulation measurement data set to obtain a target simulation measurement data set. By adopting the method, the accuracy of the target simulation measurement data set can be improved.

The application belongs to the technical field of aircraft assembly measurement, and particularly relates to a laser tracker measurement method for measuring the distance between reference points in an aircraft assembly tool measurement field, which combines the alignment measurement point and the reference measurement point, uses the absolute ranging function of the laser tracker to calibrate, constructs a ranging coordinate system, and uses the multi-degree-of-freedom precise adjustment structure of the articulated arm robot to position the laser tracker on the extension line of the reference measurement point, so as to realize high-precision measurement of the distance between the two reference measurement points, correct the error of network measurement of the laser interferometer with high precision, and realize high-precision measurement of the large aircraft assembly site.

A management node local to a customer site of a private communications network stores a model. The model is a compact version of a visual language model remote from the customer site. A first screen shot of a dashboard of telemetry data measured from the private communications network is accessed. A prompt is formulated comprising the first screen shot and information to adapt the model to the private communications network via few shot learning. The prompt is submitted to the model. An output is received from the model comprising textual information about anomalies or trends depicted in the first screen shot. The output is checked against data from a statistical model of the telemetry data, the statistical model being independent of the model. In response to the check being successful, an action is triggered to manage the private communications network according to the output.

The application belongs to the technical field of measurement positioning, and particularly relates to an aircraft manufacturing measurement positioning method, which deeply combines an interference networking measurement of a laser tracker and a spatial coordinate measurement method, uses an interference networking to construct a global coordinate system by using a small number of benchmark control TB points in an open space, carries out a complex system by using the benchmark control TB points in an effective ranging range, expands and enlarges benchmark ERS points, establishes a local enlarged benchmark system to measure and position a local measurement object, and clearly defines the order and limit of the global measurement and the local measurement in the measurement process according to the size chain superposition, and has high measurement precision.

This invention discloses a method for predicting and classifying the quality of air-space-ground power communication links based on multi-source information fusion. First, a deterministic capability classification system based on power service SLA requirements is constructed, which includes quantified multi-level indicator thresholds. Environmental perception data (meteorological, ephemeris) and network measurement data are fused, and a predictive model is used to derive the expected link performance within a future time window. The expected link performance is then matched level by level with a predefined classification system to dynamically determine the dynamic deterministic level of the link within the future time window. When this dynamic level is lower than the required level for the service, an early warning and rerouting preparation are triggered, achieving proactive pre-emptive maintenance of network quality.

The invention relates to a transient synchronization stability evaluation method and device of a phase-locked synchronous converter system under an energy perspective, belongs to the field of new energy grid connection, and solves the problem of transient synchronization stability evaluation of a phase-locked synchronous converter at the present stage. The method comprises the following steps: establishing a port energy function of each element in the phase-locked synchronous converter system; according to the law of conservation of energy, establishing a phase-locked synchronous converter system branch energy function considering the transient synchronization influence of the phase-locked loop; branch energy and port energy indexes based on information entropy are constructed, and stability margins of key branches and phase-locked synchronous converter elements in the network are quantitatively estimated based on local network measurement information. According to the method, the stability margin of the key branch and the key phase-locking synchronous converter of the system can be accurately and quantitatively identified, and a new visual angle and a new tool are provided for transient synchronous stability evaluation of a high-permeability renewable resource system.

The invention discloses an oil and gas pipe network SCADA system self-adaptive early warning method and device, and relates to the technical field of oil and gas pipe network early warning, and the method comprises the following steps: extracting the characteristic parameters of an oil and gas pipe network according to the historical oil and gas pipe network measurement data of an SCADA system; inputting the obtained characteristic parameters of the oil and gas pipe network into the established self-organizing characteristic mapping network for training and testing to obtain an oil and gas pipe network operation trend prediction model; inputting characteristic parameters of a to-be-detected oil and gas pipe network into the oil and gas pipe network operation trend prediction model, continuing monitoring if the result shows normal operation, and giving an alarm if the result shows abnormal operation; the self-adaptive early warning method and device for the oil and gas pipe network SCADA system have the advantages of being high in self-adaptability and intelligence, accurate in early warning, efficient in response, comprehensive in coverage, efficient in management and the like, and powerful technical support is provided for operation management of an oil and gas pipe network.