730 results about "Propagation delay" patented technology

The invention discloses an intelligent water affair monitoring management method and system based on the Internet of Things, particularly relates to the technical field of water affair management, and is used for solving the problems of control instruction mismatching, redundant execution and equipment overload caused by the fact that a static topology model cannot sense the dynamic change of a pipe network in real time in the prior art. Through real-time collection of pipe network operation data and analysis of time-space correlation characteristics of water flow propagation delay parameters and pressure mutation, a pipe network topology change event is dynamically perceived; the flow direction sudden change reasonability is verified in combination with fluid mechanics conservation constraint, and a corrected topological mapping table is generated through reverse calculation; candidate paths are screened based on water flow inertial parameters and pressure gradient threshold values, a safety control instruction set is generated through a multi-stage verification rule, dynamic matching of a pipe network regulation and control instruction and a real topological structure is achieved, the matching degree of the control instruction and the physical state of a pipe network is effectively improved, the leakage risk and energy waste are reduced, the manual maintenance requirement is reduced, and the safety of the pipe network is improved. The service life of equipment is prolonged.

The specification describes apparatus comprising means for: estimating a propagation delay of transmissions between a base station and a mobile device based on data from at least one motion sensor that is local to the mobile device; determining updated timing information based on the estimated propagation delay; and updating an internal clock of the mobile device in accordance with the updated timing information.

There is provided an apparatus that is caused to: in response to determining that a plurality of access points to be configured to provide positioning reference signals to a user equipment comprises at least one non-terrestrial access point and at least one terrestrial access point: determining, for the at least one non-terrestrial access point, a propagation delay for signalling between said non-terrestrial access point and the user equipment; using the determined propagation delay to select a configuration of at least one of: a duration of a measurement gap at the user equipment in which the user equipment is to perform positioning-related measurements on positioning reference signals transmitted by the plurality of access points, and a transmission time of at least one positioning reference signal to be provided to the user equipment by at least one of the plurality of access points; and signalling the selected configuration.

A cable may include a first signal path for communicating a first polarity signal of a differential signal, a second signal path for communicating a second polarity signal of the differential signal, a first deskewer integral to the first signal path and configured to vary a first propagation delay of the first signal path, a second deskewer integral to the second signal path and configured to vary a second propagation delay of the second signal path, attenuators configured to apply an attenuation to the first signal path and the second signal path, and a circuit formed as a part of the cable and communicatively coupled to the first signal path, the second signal path, the first deskewer, the second deskewer, the attenuators, and configured to, based on analysis of the first polarity signal and the second polarity signal, control the first propagation delay, the second propagation delay, and the attenuation.

Various aspects of the present disclosure relate to a UE that receives, from a location server of a non-terrestrial network, first control signaling indicating a first PRS configuration that includes positioning assistance data and measurement reporting configuration. The UE also receives second control signaling indicating a second PRS configuration that indicates adapted PRS information based at least in part on mobility, an interference level, and / or a propagation delay pattern. The UE also receives third control signaling indicating a third PRS configuration that includes a duration for reporting a measurement of reference signals based at least in part on the adapted PRS information. The UE transmits, to the location server of the NTN, a report indicating the measurement of the reference signals and / or a location estimate based at least in part on the duration for the reporting.

The invention relates to the technical field of power system communication, and discloses a fault diagnosis method and system for a substation communication network, and the method comprises the steps: obtaining multi-band signal data, and carrying out the fast Fourier transform to obtain spectrum distribution data; according to the spectrum distribution data, performing frequency band division to obtain an initial power ratio; performing adaptive filtering according to the initial power ratio and the multi-band signal data to obtain a fundamental wave amplitude fluctuation characteristic; performing wavelet decomposition according to the fundamental wave amplitude fluctuation characteristics to obtain abnormal signal time-frequency energy distribution; performing K-means clustering division according to the abnormal signal time-frequency energy distribution, and matching a harmonic fault database to obtain a fault type identifier; and according to the fault type identifier and the abnormal signal time-frequency energy distribution, ring network topology propagation time delay analysis is carried out, a fault position coordinate is positioned, and a fault diagnosis report is generated. According to the method, the network fault can be accurately diagnosed for multi-band complex signal interference.

The invention discloses a time synchronization method suitable for a satellite communication system, and the method comprises the steps: analyzing a forward broadcast signal, and obtaining the reference time of a network clock; constructing a geometric prediction handle based on satellite orbit data, and predicting one-way propagation time delay between a terminal and a satellite by using the geometric prediction handle; estimating the processing delay of the terminal according to the symbol rate and the equipment working condition of the terminal and the delay calibration data; fusing the network clock reference time with the processing delay estimate to synthesize a terminal local time; and the sending time of the return link is calculated based on the local time and the propagation delay prediction. According to the method, the synchronization precision can be improved to a microsecond level, the convergence speed in a dynamic scene is accelerated, adaptive compression of the guard interval is supported, and the stability and spectrum efficiency of a satellite communication system are effectively improved.

The present disclosure relates to data block retransmission in wireless communications, and particularly in wireless communications having a relatively large propagation delay. Some embodiments relate to memory management and may involve a maximum time period during which a data block that is to be communicated in a wireless communication network may remain in memory space at a user equipment (UE) to support a data block retransmission procedure. UE reporting of current occupancy status of the memory space is also or instead supported in some embodiments. Selective transmission or retransmission may be provided, and may involve reception occasions at which a UE may receive a data block retransmission or a transmission of a different data block.

Embodiments include methods for a centralized unit (CU) of a radio access network (RAN) node. Such methods include sending, to a distributed unit (DU) of the RAN node, a request for one or more timing advance (TA) measurements for a user equipment (UE) with respect to one or more cells served by the DU. Such methods include receiving from the DU one or more responses that include the respective one or more TA measurements and for each received TA measurement, determining a corresponding downlink (DL) propagation delay (PD) between the DU and the UE. Other embodiments include complementary methods for a DU of a RAN node, as well as CUs and DUs configured to perform such methods.

Various solutions for physical random access channel (PRACH) timing advance operation and PRACH configurations with respect to user equipment and network apparatus are described. An apparatus may determine a propagation delay between the apparatus and a network node. The apparatus may determine a pre-compensation timing margin. The apparatus may perform a timing advance pre-compensation according to the propagation delay and the pre-compensation timing margin. The apparatus may transmit an uplink signal by applying the timing advance pre-compensation.

The invention discloses a BIM (Building Information Modeling)-based large-span post-tensioned bonded prestressed beam construction method. The BIM-based large-span post-tensioned bonded prestressed beam construction method comprises the following steps: collecting a vibration signal of a working rib and a matt rib reference signal of a matt rib; inputting the dummy rib reference signal into an adaptive filtering algorithm to which phase preserving constraint is applied, and performing noise cancellation processing on the working rib vibration signal to generate a purified pressure wave signal; performing multi-scale decomposition on the purified signal, extracting propagation time delay of the direct wave based on coherence analysis among components, and generating a phase-time delay characteristic matrix; and based on pre-configured geometric parameters of the BIM three-dimensional model, a real-time stress distribution field is calculated through inversion according to the phase-time delay characteristic matrix, and the real-time stress distribution field is synchronously updated to the BIM three-dimensional model. According to the method, the phase distortion problem under noise interference is solved through a physical reference channel and phase preserving filtering, the accuracy of time delay extraction is improved through a multi-path separation technology, and high-precision and high-robustness real-time monitoring of the prestress is achieved.

The invention belongs to the technical field of power system measurement, and relates to a three-phase power parameter wireless synchronous measurement and vector analysis method and system, and the method comprises the following steps: generating and broadcasting a synchronous pulse code containing triggering phase information; generating a predicted phase angle; obtaining a comprehensive phase deviation value; performing dynamic feature separation processing on the comprehensive phase deviation value to generate a slowly-varying propagation delay feature and a transient prediction error feature; injecting the prediction error characteristics into a local phase predictor for calibration; acquiring phase voltage / current data based on the compensated sampling time, and calculating a fundamental wave effective value and a phase angle relative to a local calibration time reference; and packaging the fundamental wave effective value, the phase angle and the local timestamp into a simplified data packet and transmitting the simplified data packet to an analysis terminal. According to the method, the problems that in a traditional mode, satellite time service rejects signals in a substation indoor or underground scene, and synchronization interruption is easily caused by electromagnetic interference are solved.

The invention provides a remote monitoring method and system applied to children's watches, and relates to the technical field of children's watches, time axis synchronous alignment is carried out on collected multi-source heterogeneous data through an interpolation method, data time sequence chaos caused by sampling rate differences is prevented, and then the data time sequence chaos caused by sampling rate differences is prevented. Through dynamic coupling calculation of a light intensity mutation gradient and a heart rate stress coefficient, the cooperative influence of environment change on the physiological state of the child is quantified in real time, and the physiological state of the child is determined by further combining power spectrum centroid frequency and physiological phase difference analysis of the motion rhythm and logarithmic correlation of acoustic envelope frequency and GPS speed. In addition, an acoustic propagation delay compensation mechanism is introduced, a two-factor dynamic equation model is constructed through a time delay cross term, and a dynamic risk threshold generation mechanism based on a noise energy ratio is combined, so that the dynamic risk threshold of the motion intensity, the rhythm characteristics and the acoustic scene is effectively distinguished. Effective remote monitoring on child safety in different scenes is realized.

Embodiments include methods for a user equipment (UE) to synchronize timing with a wireless network. Such methods include receiving, from a first node serving a first cell in the wireless network, a first message that includes an absolute reference time and a corresponding reference event within downlink, DL, transmissions by the first node; and determining whether the UE received, from the first node, a timing adjustment value from which the UE can estimate a propagation delay of the DL transmissions. Such methods include, based on determining that the UE did not receive the timing adjustment value, performing one of the following: transmitting, to the first node, an indication that the UE did not receive the timing adjustment value; or declaring radio link failure with respect to the first cell and establishing a connection with a second cell capable of providing the information included in the first message.

The invention relates to a dynamic routing method for an underwater acoustic communication network, and the method comprises the steps: each node obtains the three-dimensional coordinates of the node in real time through a positioning module, and periodically broadcasts an enhanced neighbor discovery control packet comprising the node position, the node residual energy and the available bandwidth; the physical layer of each node determines a signal-to-noise ratio, a propagation delay and a packet loss rate according to the received enhanced neighbor discovery control packet, and updates a link state table through a shared memory; the network layer of each node reads the link state, position information and node residual energy of a neighbor node from the link state table of the shared memory, and constructs a neighbor table; when the source node sends underwater acoustic communication data to the destination node based on the neighbor table and there is no available route, route discovery is triggered to obtain a target route path; and sending the underwater acoustic communication data based on the target routing path.

The invention relates to the technical field of disaster monitoring. According to the emergency state alarm system, clock calibration processing is carried out on all sensor nodes through a synchronous clock protocol, and a calibrated unified reference clock source is generated; collecting and processing multi-source data of a target scene, and generating a sensor data stream with a timestamp and an environment interference parameter set; constructing a medium propagation delay prediction model according to the environment interference parameter set and the physical characteristic parameters of the sensor; performing dynamic compensation processing on the sensor data stream to generate a time-aligned multi-sensor data set; and performing multi-modal fusion analysis on the time-aligned multi-sensor data set, and triggering a graded alarm signal to solve the problem of insufficient dynamic coupling modeling of sensor degradation and environment interference in a multi-modal conflict resolution mechanism and the problem of insufficient spatial-temporal characteristic driving caused by the fact that cross-sensor decision depends on static weight. Accurate identification and grading alarm optimization of abnormal events are realized.

A method and data processing system for characterizing a logical cell in an integrated circuit are provided. The method comprises identifying an input pin and output pin of the cell as a selected input pin and output pin, evaluating a model of the logical cell for each pair of input signals from a set comprising pairs of input signals, identifying a subset of the set based on the evaluation, and determining a propagation delay for each pair in the subset.

The invention provides an intelligent space sensing dynamic topology optimization method and system based on electromagnetic detection, and the method comprises the steps: firstly obtaining an electromagnetic detection data set composed of electromagnetic signal intensity and propagation delay information of different position nodes in an intelligent space, and then carrying out the sensing equipment state analysis of the electromagnetic detection data set; the method comprises the steps of obtaining a state feature set containing equipment connection stability and signal coverage range features, generating a dynamic topology optimization strategy containing an equipment connection relation adjustment rule and a signal coverage area distribution scheme according to the state feature set, and adjusting a sensor network topology structure according to the dynamic topology optimization strategy. And finally, performing optimization effect evaluation on the adjusted sensor network topological structure, and feeding back an evaluation result to trigger strategy updating, thereby dynamically optimizing the sensor network topological structure and improving the stability and reliability of the intelligent space sensor network.

Dynamic slicing technology can be performed to assign network resources for various robotic repairing subtasks having different priorities, while satisfying various real-time and high throughput requirements. In some cases, M / M / 1 queuing theory is applied so as to efficiently improve the utilization of network resources, reduce queuing latency and propagation latency, and balance the load among different network slicing, so as to perform robotic repairing operations.

The invention discloses a multi-index dynamic fusion traffic hidden danger identification and completion method and system, and relates to the technical field of intelligent traffic systems, and the method comprises the steps: obtaining a multi-dimensional traffic data sequence containing missing values in a target monitoring region, the multi-dimensional traffic data sequence comprises a traffic flow index sequence, a driving behavior characteristic sequence and a road environment parameter sequence; and interpolating missing values in the multi-dimensional traffic data sequence based on a spatio-temporal dynamic graph completion network to generate a completed spatio-temporal data tensor. According to the method, the missing data are accurately completed through a space-time dynamic graph completion network, a space graph convolution layer of road network topology, a gating circulation unit of a modeling time sequence rule and a cross-index attention module, multi-index dynamic association is fully fused, and propagation delay and a space-time evolution rule are considered; and deep fusion features are extracted by using a shared feature encoder, hidden danger identification branches are linked, traffic flow, driving behaviors and environmental parameters are dynamically fused, and hidden danger dynamic formation paths are captured.

Support for user equipment (UE) positioning with a non-terrestrial network (NTN) considers the significantly different propagation delays of positioning signals transmitted by SVs (SVs) in different orbits and elevation angles. The UE may be configured with a discontinuous measurement gap set for each positioning occasion, including separate measurement gaps for positioning signals transmitted by different SVs. Prioritization based on expected reference signal time differences (RSTD) may be used so that positioning signals received by the UE at nearly the same time are measured with higher priority. A burst configuration based on orbital position of SVs may be used so that positioning signals from different SVs will arrive at the UE within a maximum time window. The UE may provide a capability message indicating a maximum search window and uncertainty supported for NTNs, which may be used to configure the positioning signals to be measured by the UE.

The invention discloses an expressway congestion situation prediction method. The method comprises the following steps: step 1, data acquisition and preprocessing: traffic state data is acquired in real time through monitoring equipment installed at key traffic nodes of an expressway; step 2, space-time joint data embedding: fusing node space topology, time features and position codes to form multi-dimensional input; step 3, heterogeneous space-time self-attention coding: fusing three types of attention of remote collaboration, local window and dynamic time sequence dependence, and uniformly modeling space conduction, global association and historical evolution characteristics among highway nodes; step 4, heterogeneous multi-head attention aggregation: integrating three types of heterogeneous attention outputs, and mapping the three types of heterogeneous attention outputs to the same embedding space; and 5, traffic jam situation prediction: setting a regression branch and a classification branch. The method aims at overcoming the defects in the aspects of propagation delay modeling and remote semantic association expression in the prior art.

The invention relates to the technical field of communication, and discloses an access point, terminal equipment and a short-distance communication time synchronization method and system.The access point equipment and the terminal equipment each comprise a baseband signal processing unit, a radio frequency unit, an antenna, a global time counter and a clock compensation module. The time synchronization method is executed by a target terminal: receiving a beacon frame broadcasted and sent by an access point; calibration information is embedded in the beacon frame, and the calibration information comprises timestamp information and a transmitting power parameter; calculating actual propagation delay of the access point and the target terminal based on the timestamp information; calculating target propagation delay of the access point and the target terminal based on the transmitting power parameter; calculating a delay error between the actual propagation delay and the target propagation delay; and calibrating the clock skew of the target terminal based on the delay error. The time, frequency and link calibration of the access point and the target terminal can be completed by using the one-way time broadcast, and the calibration precision is high.

The invention discloses a long-wave time service signal propagation time delay prediction method and device, and belongs to the technical field of land-based long-wave time service, and the method comprises the steps: continuously obtaining the time delay data of a long-wave time service signal in a signal receiving region, and starting to construct a measurement value data set once a receiver of the long-wave time service signal fails and cannot receive the long-wave time service signal, and meanwhile, constructing a long-wave propagation time delay mathematical model, obtaining a long-wave propagation time delay prediction model in combination with the measured value data set, and predicting subsequent time delay data through the long-wave propagation time delay prediction model. According to the method, a quadratic polynomial prediction model containing a periodic term is constructed as a long-wave propagation time delay mathematical model by deeply analyzing time-frequency characteristics of propagation time delay of a long-wave time service signal and utilizing a day periodic phenomenon displayed by the long-wave time service signal in a frequency domain; the mathematical model can solve the problem of propagation time delay unified modeling under the influence of various complex factors, and facilitates more accurate prediction of the propagation time delay of the long-wave time service signal.

The invention relates to a computing resource collaborative deployment strategy for a satellite-ground fusion network. The computing resource collaborative deployment strategy comprises the following steps: step 1, establishing a model of the satellite-ground fusion network combining a low-orbit satellite network and a ground network; 2, establishing a satellite-ground fusion network task model according to the use condition of the Internet; 3, establishing a time delay model by considering the total propagation time delay and the total calculation time delay of tasks in the satellite-ground fusion network; step 4, considering energy consumption of a satellite edge server and energy consumption of a ground edge server in the satellite-ground fusion network, and establishing an energy consumption model; 5, establishing an optimization target by taking the time delay and the energy consumption as comprehensive indexes; and step 6, designing a QMIX-based satellite-ground fusion network computing power resource collaborative deployment strategy to dynamically realize computing resource collaborative deployment. According to the strategy, efficient cooperative utilization of satellite-ground resources can be achieved while task requirements are guaranteed, and good generalization ability and engineering practical value are achieved.

A controller for a multi-level power converter that utilizes a look-up-table (LUT) in combination with a fast flash analog-to-digital converter (ADC) circuit to implement a complex set of control states for the multi-level power converter. Since the set of control states can be pre-processed, a LUT is very well suited for such selecting such control states. This technique can be fast because the delay is only the LUT access time, rather than the propagation delay through a complex network of combinational logic. The fast flash ADC has been designed to achieve all the following: high conversion speed, high resolution, small layout area, low power, and the ability to meet the requirements for properly balancing fly capacitor voltages in a multi-level converter cell.

The invention discloses a mobile underwater acoustic communication multipath channel modeling method based on sound field calculation, and relates to underwater sound waves. Channel modeling is carried out by inputting environmental parameters including an ocean sound velocity profile, submarine topography and the like, and modeling parameters including initial coordinates, motion trail equations and the like of a signal transmitting end and a signal receiving end. Performing ocean sound field calculation by adopting a ray tracing model, a normal wave model or a wave number integral model and the like, and calculating a sound field at each track sampling moment according to modeling parameters. And converting a frequency domain sound field result into a channel impulse response through inverse Fourier transform, and recovering the time-varying impulse response of the whole multipath channel by using local spline interpolation. And carrying out convolution on the transmitted signal and the time-varying impulse response of the multipath channel, and adding common propagation time delay to obtain a received signal simulation result. Through accurate sound field calculation and multipath channel modeling, the signal transmission condition in a specific marine environment can be simulated without actual marine environment measurement, the marine actual measurement cost is reduced, and the research and development efficiency is improved.

A base station may operate in a context where the propagation delay between the base station and user equipment (UE) devices is large. The base station configures UE devices with a common delay. The base station receives a random access preamble from a UE device. The base station determines a time slot in which the random access preamble was transmitted, based on a configured correspondence between allowable time slots and subsets of an available set of preambles. The base station computes a Random Access Radio Network Temporary Identifier (RA-RNTI) based on parameter values including an index, of the determined time slot. The base station employs the computed RA-RNTI to address a random access response for the UE device.

A communication device of a communications network can determine a reception-transmission (“Rx-Tx”) time difference between a pair of signals communicated with a network node of the communications network. The communication device can transmit a message to the network node, the message including an indication of the Rx-Tx time difference.

The invention relates to a micro-service deployment method for joint request routing in an edge environment, and belongs to the field of micro-service deployment optimization under edge computing. The method comprises the following steps: according to a trace data structure recorded by a micro-service log, obtaining a calling direction and a transmission data volume between micro-services, and further obtaining a service calling chain in a system; determining the number of instances for deploying each micro-service according to the request load of the micro-service; constructing a target function according to the time delay of the micro-service processing request, the micro-service calling propagation time delay and the routing probability; and taking the minimum objective function as an optimization objective, and solving by using an improved zebra optimization algorithm to obtain an optimal micro-service deployment strategy. According to the method, the micro-service deployment and the request routing are subjected to joint modeling optimization deployment, and the problem that a request routing scheme is limited by a micro-service deployment scheme is solved, so that more efficient deployment is realized in an edge computing environment, and the overall performance of a system is improved.