832 results about "Signal delay" patented technology

The invention relates to the technical field of fault detection, in particular to a heating and ventilation system fault positioning system and method based on big data, and the system comprises a multi-source sensing module, a disturbance feature module, a path modeling module, a frequency spectrum matching module and a fault positioning module. In the method, a real-time disturbance sequence is constructed through time window segmentation and parameter offset calculation, separation of an active response chain and an abnormal propagation path is realized through a directional joint state vector and a topological relation table, and time asynchronism of multi-device signal transmission is eliminated by adopting a dynamic time warping algorithm. In combination with a real-time parameter bidirectional verification mechanism of a frequency domain main frequency band energy mark, a valve opening degree and a pump rotating speed, the problem of path confusion in a multi-node parameter coupling scene of a traditional method is solved, the tracing efficiency of concurrent faults in a complex pipe network system is improved, the adaptability limitation of a single-dimensional threshold mechanism to equipment performance degradation is overcome, and the method is suitable for a complex pipe network system. And the error positioning probability caused by signal delay superposition is reduced.

The invention discloses an intelligent cleaning and feature extraction system and method for multi-modal industrial data, and relates to the technical field of equipment state monitoring. The method is used for solving the problems that multi-source heterogeneous signal time alignment is not accurate, fault features are easily covered by background noise, a causal chain is not clear under working condition changes, and feature stability is poor. Firstly, a matching window is dynamically adjusted based on the main vibration frequency of rotating equipment, temperature signal delay is calculated in combination with a material thermal expansion coefficient, and modal alignment is achieved; then, a fault sensitive frequency band is solved through a bearing pedestal kinetic equation, a frequency band protection window is constructed, frequency domain filtering and gradient truncation operation are executed, and microcrack high-frequency features are extracted; secondly, recognizing a fault propagation path by combining image definition and envelope spectrum kurtosis, and dynamically shrinking a frequency domain window bandwidth according to a real-time load; finally, the feature vector is reconstructed to a phase space, when the curvature change rate or the temperature drift exceeds the limit, parameter updating and frequency band readjustment feedback are triggered, and the stability and adaptability of the system are improved.

The invention provides an unmanned aerial vehicle navigation decoy method and system based on multimode satellite signal counterfeiting. The method comprises the following steps: firstly, acquiring original signal parameters, covering signal time delay, carrier phase and signal intensity distribution, of multimode satellite signals in an unmanned aerial vehicle navigation link in a target area in real time; secondly, extracting spatio-temporal characteristics through signal time delay and carrier phase, and generating time domain synchronous forged navigation parameters in combination with signal strength dynamic change; dynamically adjusting the signal time delay correction and the carrier phase offset in the forged navigation parameters; meanwhile, dynamic compensation is carried out on the navigation message based on the three-dimensional coordinate increment, and a multimode forged navigation signal covering the receiving end of the unmanned aerial vehicle is generated; and finally, superposing the forged navigation signal and the original signal parameter to form a deceptive navigation track for inducing the unmanned aerial vehicle to deviate from the original route. According to the technical scheme provided by the invention, the multi-mode compatibility and concealment of navigation decoy of the unmanned aerial vehicle can be improved.

The invention relates to the field of industrial automation testing, discloses a multifunctional testing tool and method for an EUROMAP interface of an injection molding machine, and achieves the crossing from single function verification to system-level compliance evaluation. A test network is constructed through a controller, and deep compliance verification, coverage data interaction, exception handling and cross-layer response consistency are realized. The test tool integrates the functions of protocol analysis, signal simulation, fault injection and the like, supports dynamic generation of boundary value test scenes and abnormal injection of signal delay, CRC errors and the like, and verifies the time sequence / logic consistency of a protocol instruction and an execution mechanism response through a hardware-level timestamp alignment technology. According to the method, an evaluation report including compliance rating, fault diagnosis and optimization suggestions is automatically generated, the problems of single coverage dimension, insufficient abnormal simulation, cross-layer verification deficiency and the like of a traditional test are solved, the intelligence and standardization level of the injection molding machine interface test is remarkably improved, and the equipment interconnection and intercommunication performance is guaranteed.

The present disclosure provides a signal delay setting circuit, an isolation integrated circuit and a power conversion circuitry. The isolation integrated circuit includes a primary side circuit, an isolation circuit and a secondary side circuit. The primary side circuit generates a primary side signal according to a first input signal and a second input signal. The isolation circuit converts the primary side signal into a secondary side signal. The secondary side circuit receives the secondary side signal through the isolation circuit, to generate an output signal. The signal delay setting circuit is coupled to the secondary side circuit, calculates a delay time according to a voltage difference between an alternative terminal and a secondary side ground terminal of the isolation integrated circuit, and delays the secondary side signal according to the delay time, to control the duty ratio of the output signal.

The invention relates to the technical field of inverter control, and discloses a VSG-based inverter phase-locked loop-free pre-synchronization method, system and device and a medium, and the method comprises the steps: eliminating the voltage deviation between the VSG inverter voltage of a virtual synchronous generator and the output voltage of a micro-grid through a deviation integral feedback method; a general signal delay superposition operator is adopted to filter the power grid voltage so as to construct virtual power, then the virtual power is introduced into an active-frequency loop of the virtual synchronous generator as a feedback signal, and a power angle feedback control model is formed so as to adjust the VSG inverter voltage; and detecting the voltage deviation between the power grid voltage and the adjusted VSG inverter voltage in real time, and when it is judged that the voltage deviation is smaller than a deviation threshold value, generating a grid-connected connection point switching-on instruction and controlling a switch of a grid-connected connection point to be switched on, so that phase-locked loop-free pre-synchronization of the distributed power supply inverter is realized, the grid-connected stability of the distributed power supply inverter is enhanced, and the grid-connected stability of the distributed power supply inverter is improved. And the current and voltage impact of the grid-connected instant system is reduced.

The invention relates to the technical field of data processing, in particular to a multi-channel controllable power converter for realizing filtering processing and a filtering processing method, and the method comprises the steps: obtaining the signal delay time and voltage signal data of the multi-channel controllable power converter in a current monitoring time period and a historical monitoring time period; according to peak value distribution and frequency distribution of the voltage signal data in each historical monitoring time period, analyzing a noise interference degree, and combining the noise interference degree and the difference of a pulse width parameter change trend to obtain a synchronization characteristic index; according to the signal delay time of the current monitoring time period and the historical monitoring time period, combining the synchronization characteristic index to obtain a filtering weight; and decomposing the voltage signal data in the current monitoring time period according to the filtering weight, and filtering in combination with Gaussian characteristics of decomposed signal components to obtain filtered voltage signal data. The filtering processing result has a good processing effect, and the stability of power supply output is ensured.

The invention relates to the technical field of automatic control, and discloses a cable winding and unwinding speed self-adaptive control system under a dynamic working condition, which comprises an endogenous vibration sensing module configured on a cable reel supporting bearing and a system state decoding module, and the decoding module can decode a single original electric signal from a single original electric signal converted by the endogenous vibration sensing module. According to the invention, the core bearing structure of the reel is converted into an information source of a self-state, and multi-dimensional state information of real-time tension, overall rotational inertia of the system, abrupt change of friction and the like after temperature self-calibration is decoded in parallel, so that the self-adaptive control module is driven to match and execute a corresponding speed control strategy. Signal delay and system vulnerability caused by traditional multi-sensor layout are avoided, a control decision is made according to information reflecting the current system state, and the system further has the functions of optimizing a control strategy and compensating temperature influence according to historical data.

Dipole antenna structures are disclosed. In certain embodiments, a dipole antenna structure includes a first dipole, a second dipole, a third dipole, and a fourth dipole aligned in parallel. The dipole antenna structure further includes a signal delay line structure electrically connected to a common signal feed. The dipoles are electrically connected to the common signal feed through the signal delay line structure.

The invention discloses a calibration method and system of ATE test equipment. The calibration method comprises the steps of obtaining calibration data, performing self-compensation and measuring and calibrating a tested single board through a calibration device. The step of obtaining the calibration data comprises the steps of selecting one FPGA from the to-be-tested single boards as a calibration source, calibrating and calibrating the calibration source, calibrating the to-be-tested single board where the calibration source is located as a calibration device through the calibration source, and taking time delay data between a calibration device signal and a calibration source signal as the calibration data. The self-compensation comprises the following steps: compensating the signal delay of the calibration device according to the calibration data, and ensuring that the calibration device provides a reference synchronization signal for the tested single board. The FPGA is adopted as a calibration source, calibration of the test equipment can be completed without an external TDC calibration board, the limitation of the number of channels of a traditional TDC calibration board is broken through, and the accuracy and reliability of a calibration result are also improved.

Disclosed in the present invention are an automatic delay calibration method for a smart speaker system, a device, and a storage medium. The method comprises: initializing a smart speaker system and performing environmental testing to preliminarily configure system parameters; exciting a target sound channel and playing a target test signal; locating a first test signal on the basis of a voice activity detection (VAD) algorithm, determining the start and end of the first test signal, and identifying a time difference of the first test signal to obtain a delay of main channels; locating a time of arrival of a second test signal on the basis of a fast peak search algorithm, and identifying a delay of a subwoofer; and performing delay calibration on the subwoofer and the main channels, and dynamically adjusting delay calibration parameters of the channels on the basis of a delay calibration amount, thereby achieving accurate time alignment between the subwoofer and the main channels. The present invention solves the problem of low-frequency signal delays that are difficult to process in conventional technologies, and particularly makes a breakthrough progress in the coordination of a subwoofer and other sound channels.

The invention discloses a signal delay accurate measurement and synchronization method for a complex communication environment. The method comprises the following steps: generating a unique equipment ID; calculating a clock skew therebetween; the transmission delay is measured through multiple round-trip communication between the devices, and the measurement frequency is dynamically adjusted according to the delay change; dynamically adjusting a local clock by the equipment, and performing delay compensation; dynamically adjusting delay measurement and a synchronization strategy according to environment change; a distributed coordination algorithm is adopted, so that all devices are kept synchronous; timestamp signature and message authentication are adopted, so that time synchronization is prevented from being attacked or interfered. Signal delay is measured in real time through multiple round-trip communication, the measurement frequency is dynamically adjusted according to the delay change, high-precision synchronization is kept in a dynamic environment, meanwhile, when clock skew is calculated, dynamic delay is taken into consideration, a local clock is adjusted through a delay compensation algorithm, and synchronization errors are reduced.

A phased array antenna may include an antenna substrate, an array of antenna elements carried by the antenna substrate, and time delay units (TDUs) coupled to the array of antenna elements. Each time delay unit may include a circuit substrate, and delay circuits carried by the circuit substrate and coupled in series. Each delay circuit has a controllable respective signal delay value. At least one first delay circuit of the delay circuits may include a bypassable delay circuit having a bypassable signal loss, and at least one second delay circuit of the delay circuits may include a non-bypassable delay circuit having a non-bypassable signal loss.

The invention relates to the technical field of physiological signal analysis, in particular to a sleep disorder intelligent diagnosis system based on a multi-modal knowledge graph, which comprises a signal lag analysis module, an abnormal signal identification module, a graph construction module, a graph path generation module and a diagnosis result output module. According to the method, difference comparison and normalized sequence analysis in a time window are performed on multiple types of physiological response data, and derivative trend identification and mutation section calibration are combined, so that collaborative identification of signal delay response and abnormal change positions is realized, and multi-dimensional information of duration, frequency and fluctuation amplitude in abnormal events is further structured; the method comprises the following steps: constructing a traceable symptom expression vector, extracting structural features of the traceable symptom expression vector in a time sequence evolution process through a cross-time window entity evolution path, identifying a growth trend of association strength between symptoms according to an attribute change direction and a path connection mode, and judging a fluctuation mode and an abnormal evolution tendency of a sleep state of a user in a specific time period.

The invention discloses an energy storage power station SOC / SOE joint correction method based on Kalman filtering and multi-parameter optimization, and the method comprises the steps: constructing an energy storage system state model, designing an observation model, initializing a Kalman filter, executing prediction and updating, introducing a multi-parameter optimization strategy, outputting a correction result, and the like. Accurate SOC / SOE correction in a dynamic environment can be realized through a Kalman filtering algorithm, the correction efficiency and reliability are improved by combining multi-parameter optimization, the defects in the aspects of multi-parameter coupling, signal delay and complex working condition adaptability in the prior art are overcome, a theoretical basis and actual support are provided for efficient operation of an energy storage power station, and the method is suitable for popularization and application. And the correction precision and the system performance are obviously improved.

The invention relates to the related technical field of robot fault detection, in particular to an industrial robot real-time fault detection method and system, and the method comprises the steps: analyzing the operation state of an industrial robot based on a communication state signal, determining a motion domain and sensing domain synchronization factor, configuring a cross-domain feature vector and a performance feature vector, and carrying out the fusion, the deep belief network is used for drawing up the fault probability graph and identifying the feature identifier to achieve fault reminding, the technical problems that a fault response strategy is fixed, complex and changeable industrial scene requirements are difficult to adapt, and fault reminding cannot be effectively conducted in time are solved, cross-domain feature vectors and performance feature vectors are constructed, and the fault reminding efficiency is improved. The method has the technical effects that the serial control sequence is dynamically verified, multi-scale decomposition is combined, signal delay fluctuation and retransmission frequency are accurately extracted, a deep belief network is used for fusing time sequence and spatial features to identify fault types, fault reminding is carried out through a fault probability distribution map, and the operation safety of the industrial robot is guaranteed.

The invention relates to the technical field of automobile fault detection, and discloses a self-adaptive optimization method and system of an automobile fault detection system and a storage medium. The method comprises the following steps: performing real-time detection on attitude data based on a preset inclination angle threshold value and steering signal delay, and generating angular velocity sensing data and a vibration interference identification result; performing characteristic decomposition on the attitude data stream, identifying abnormal fluctuation, judging whether a potential fault signal exists or not, updating the calibration frequency of the vehicle-mounted sensor, and obtaining adjusted parameter configuration information; a fusion result of the attitude data is analyzed, an evaluation index of deviation correction precision is calculated, a real-time feedback mechanism is constructed based on the evaluation index, and a fault signal correction scheme is generated; and constructing a continuous detection cycle, analyzing the matching effect of the calibration frequency and the steering signal delay, and if the deviation correction precision does not reach a first preset standard, iteratively processing the attitude data. According to the invention, the precision and response speed of adaptive optimization of the automobile fault detection system are improved.

The invention relates to the technical field of energy-saving permanent magnet motors, and discloses a permanent magnet rotor system capable of guaranteeing ultra-high-speed stability, which comprises a permanent magnet rotor and a controller, and is characterized in that the controller injects current synthesized by fundamental waves and specific space harmonics into a stator winding on the basis of not depending on rotor radial position feedback, so that the permanent magnet rotor is controlled to rotate; an electromagnetic potential well with radial self-recovery force is constructed in an air gap of the motor; moreover, the controller also monitors the change rate of an internal torque instruction, foreseeably and instantaneously reinforces the potential well to resist impact, and synchronously corrects the fundamental current to eliminate parasitic torque pulsation associated with reinforcement. And the rotor stability is converted from a dynamic adjustment problem depending on external high-speed closed-loop control to an intrinsic constraint problem of motor self-guarantee, so that the risk of failure caused by signal delay at an ultra-high speed in traditional reaction type control is reduced.

The invention relates to the technical field of intelligent inspection, in particular to a thermal power plant 5G private network and intelligent perception fused safety inspection system, which comprises a 5G private network communication module used for constructing a low-delay and high-reliability localized network in a thermal power plant; the multi-source intelligent sensing terminal is used for acquiring equipment state and environment data in real time; the edge computing node is used for data preprocessing and real-time analysis; the cloud intelligent analysis platform is used for realizing equipment fault prediction and safety early warning; through cooperative work of the multi-source intelligent sensing terminals and in combination with local preprocessing capability of the edge computing nodes, real-time acquisition and preliminary analysis of equipment state and environment data are realized, redundant data transmission is reduced, fault detection efficiency is improved, meanwhile, a 5G private network provides stable localized communication guarantee for a thermal power plant inspection system, and the power plant inspection system has a wide application prospect. The problem of signal delay or interruption caused by interference of a traditional wireless network is avoided, and the response speed and reliability of the system are remarkably improved.

A switching circuit includes a power switch, a first driver configured to drive the power switch based on a first input signal, a delay circuit configured to output a delayed input signal, and a second driver configured to drive the power switch based on the delayed input signal. The first driver has a first driving strength and is configured to drive the power switch in a first stage of operation. The delayed input signal is delayed by a delay value relative to a second input signal. The second driver has a second driving strength higher than the first driving strength and is configured to drive the power switch in a second stage of operation, which is subsequent to the first stage of operation.

The invention relates to the technical field of digital integrated circuit verification, in particular to a large-scale chip post-simulation log file intelligent analysis method and device and a medium. The method comprises the following steps: performing data cleaning on a post-simulation log file; dividing the cleaned log file into a plurality of sub-file blocks according to timestamps, starting multiple threads to process each sub-file block in parallel, counting the types and quantity of time sequence violations, extracting related logs and generating a time sequence violation file; classifying and analyzing the time sequence violation file by utilizing a machine learning algorithm; dynamically filtering the time sequence violation file according to a preset rule, screening key violation information, and repairing time sequence violation caused by signal delay; and in combination with a chip circuit structure and a signal transmission path, positioning a root module or node of a time sequence violation, formulating an optimization scheme and verifying a repair effect. According to the method, efficient and accurate analysis of the post-simulation log file of the large-scale chip is realized, and the efficiency and accuracy of chip verification are improved.

A signal receiving circuit includes first to third pulse generators; and a clock signal recovery unit 100 for generating a recovery clock signal RCLK and a recovery clock delay signal RCLKD, which is a signal obtained by delaying the recovery clock signal as much as a first delay time, using at least one of pulses including a first pulse, a second pulse, a third pulse, and first to third inversion pulses, wherein the clock signal recovery unit includes: a loop interruption circuit including an input node and an output node and turned on and off by at least one of the pulses; and a delay circuit having an input terminal connected to the output node and an output terminal connected to the input node. A signal value of the input node and a signal value of the output node are in an inverse relationship.

The invention discloses a data transmission system and method, and relates to the technical field of prototype verification of an integrated circuit, and the method comprises the steps: adding a monitoring module in a first logic programming device, adding a time delay processing module in a second logic programming device, and enabling the monitoring module to monitor that the first logic programming device is in the time delay processing module and the second logic programming device is in the time delay processing module; the interrupt signal is later than the data for a time length. Moreover, the data is delayed to arrive compared with the interrupt signal after being transmitted by the cross-logic programming device, so that the delay processing module can be used for monitoring the earlier time length of the interrupt signal compared with the data. According to the method, the first interrupt signal is generated through the operation duration indication information and the delay duration indication information, the interrupt signal used for indicating completion of the write operation and the original time sequence of the data can be restored, and the first interrupt signal can accurately indicate that the write operation of the storage module is completed.

The invention provides a time sequence analysis method based on integrated circuit post-simulation, electronic equipment and a storage medium, and relates to the technical field of chip design. The method comprises the following steps: constructing an equivalent STA environment according to a post-simulation verification environment corresponding to a to-be-post-simulated module in a target integrated circuit; based on the STA environment, checking whether the interface signal delay of the to-be-simulated module conforms to a preset interface time sequence constraint or not; if not, performing time sequence repair on the interface through a virtual time sequence engineering change list so as to converge the interface time sequence; the method comprises the following steps: configuring a module to be subjected to post-simulation as an STA environment of top design, and outputting a target standard delay format file SDF when determining that an internal path of the module to be subjected to post-simulation meets a preset time sequence requirement, so that the STA environment equivalent to a post-simulation verification environment is constructed; according to the method, the interface time sequence violation of the module to be subjected to post-simulation in the post-simulation environment can be reproduced and repaired, the target SDF is generated for post-simulation, the post-simulation time is saved, and convergence of the verification time sequence of the post-simulation module is accelerated.

According to one implementation, a pulse generator circuit includes a flip-flop receiving an input clock signal, and one or more delay elements where the circuit is configured to adjust a pulse width of an output clock signal independent of a clock period of the input clock signal. According to another implementation, a pulse generator circuit includes a flip-flop receiving an input clock signal, and one or more delay elements where the circuit is configured to adjust a pulse width of an output clock signal. The flip-flop is configured to transmit a flip-flop output signal to the one or more delay elements where the flip-flop output signal includes a state of the flip-flop. The one or more delay elements are configured to delay the flip-flop output signal by a delay period and transmit the delayed flip-flop output to a reset input.

The application provides an audio and video signal processing system and a video conference terminal device using the same, and relates to the technical field of Internet.The system comprises an audio and video processing module, a signal preprocessing module, a signal delay measurement module, a signal synchronization processing module and a master control module, the audio and video processing module is used for separating audio signals and video signals in input audio and video data signals, the signal preprocessing module is used for preprocessing the audio signals, the signal delay measurement module is used for measuring relative delay amounts of the audio signals and the video signals, the signal synchronization processing module is used for performing delay compensation according to the relative delay amounts, realizing the synchronization of audio and video display, and the video conference terminal device further comprises a microphone, a camera, a display screen and a sound box.The system and the video conference terminal device can test the relative delay time of audio and video signals, perform delay compensation, ensure the synchronization of output audio and video pictures, and improve the video conference quality and user experience.

Wireless circuitry can include a processor that generates a baseband signal, an upconversion circuit that upconverts the baseband signals to a radio-frequency signal, and an amplifier that amplifies the radio-frequency signal. A tunable delay circuit can be used to selectively delay generation of the radio-frequency signal or to delay generation of another signal intended for the radio-frequency amplifier. The tunable delay circuit can be controlled using a closed-loop delay adaptation scheme. A feedback receiver that is coupled to an output of the amplifier can be used to generate a demodulated signal. A delay error measurement circuit can be used to receive the demodulated signal, to detect a peak by monitoring when an envelope of the demodulated signal crosses a threshold level, to compute an amount of asymmetry in the detected peak, and to output a signal that is used to control the tunable delay circuit.

The invention discloses a method and system for solving signal time delay based on multi-frequency-point phase calibration, and the method comprises the steps: obtaining the phases of different frequency point signals received by antennas in an antenna array based on a phase estimation method of orthogonal transformation; and according to the phases of different frequency point signals received by the antennas in the antenna array, time delay values of the signals received by the antennas in the antenna array are obtained. The method does not need to calculate the incoming wave angle of each antenna to the space target, is simple and reliable, is convenient to implement, and simplifies the design of an antenna array system.

The invention provides an extensible light-operated emission array architecture, and relates to the technical field of phased arrays. The architecture comprises a light source, an electro-optical modulator, an optical delay network, a plurality of photoelectric detectors and an array antenna. The light source can adopt a wavelength tunable laser for generating an optical signal; the electro-optical modulator is used for loading the microwave signal onto the optical signal to generate a modulation signal; the optical delay network is composed of a plurality of dispersion delay channels which can be spliced and arranged in parallel, each dispersion delay channel generates time delay through a dispersion optical fiber and has the same delay length, so that the output signal delay amount of each channel is the sum of the delay length of all channels arranged in advance and the delay length of the channel; and after passing through the photoelectric detector, all the optical delay signals are radiated to the space through the antenna array so as to be superposed in a far field to form a transmitting wave beam. The delay length can be adjusted by changing the optical wavelength, and the number of channels can be flexibly increased or decreased through the expansion interface according to needs, so that the flexible expansion of the array scale is realized.

The invention discloses an image quality enhancement method and system based on an MESH ad-hoc network, and relates to the technical field of ad-hoc network image processing. The image quality enhancement method based on the MESH ad-hoc network comprises the following steps: node data acquisition delay error evaluation; evaluating a signal collision delay error; and evaluating a link fracture delay error. According to the method, whether detection node optimization is carried out or not is judged through a data acquisition delay error result, signal delay error evaluation is carried out through signal collision data so as to judge whether routing signal transmitting power fraction optimization is carried out or not, and link delay error evaluation is carried out through link fracture data so as to judge whether link gain optimization is carried out or not; the effect of improving the accuracy of the real-time passenger flow image analysis of the smart city traffic intersection is achieved, and the problem that the accuracy of the real-time passenger flow image analysis of the smart city traffic intersection is not high due to the fact that node image data corresponds to MESH ad hoc network route switching delay in the multi-hop transmission process in the prior art is solved.