1076 results about "Signal delay" patented technology

The invention belongs to the technical field of copper-clad plates, and relates to a low-dielectric high-heat-resistance copper-clad plate and a preparation method thereof. By introducing the POSS resin, the dielectric constant of the copper-clad plate is effectively reduced, which is crucial for reducing signal delay and improving signal transmission efficiency. The introduction of the POSS resin not only improves the dielectric properties of the material, but also improves the glass transition temperature (Tg) of the material, which means that the physical and chemical properties of the material can be kept unchanged at a higher temperature, and the material is suitable for wider environmental conditions. By using the resin and the inorganic filler in a specific ratio, the copper-clad plate shows excellent copper foil peel strength, and ensures that the bonding force between the copper foil and the base material is not easily weakened under long-term use or severe conditions. Meanwhile, the material also has excellent CAF (conductive anode wire) resistance, can effectively prevent internal short circuit caused by moisture, and prolongs the service life of an electronic product.

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 a rail transit operation and maintenance state data processing method and system based on artificial intelligence, particularly relates to the technical field of rail operation and maintenance management, and is used for solving the problem that the potential multipath effect degree of a tunnel area of rail transit cannot be found in advance in the prior art. A tunnel area is divided into a complex area and a common area, when a train is located in the common area, delay diffusion caused by a complex reflection path and spectrum expansion caused by dynamic Doppler frequency shift are evaluated by analyzing a high-precision channel impulse response estimation result and signal time-varying spectrum characteristics, and whether signal transmission is normal or not is judged; in a complex area, whether the tunnel curvature and the cross structure cause signal shielding and sudden fading or not is judged firstly, and if not, signal distortion caused by electromagnetic resonance is evaluated by analyzing high-order statistical characteristics. Finally, the signal delay diffusion degree and the electromagnetic resonance distortion degree are comprehensively analyzed, and the potential risk of signal transmission is evaluated.

The invention discloses a fault model construction method for adaptive testing of abnormal values of a system-on-chip. The method relates to the technical field of fault construction of chip testing, and comprises the following steps: testing chips on a large scale under the conditions of different temperatures, voltages, frequencies, loads and the like, acquiring performance parameters such as signal delay and power consumption, screening abnormal values by applying a Z-score or box plot method, and processing by using a sliding window; extracting features through CNN or RNN, and normalizing the features; fault features are classified through K-Means or hierarchical clustering, and the accuracy rate is larger than or equal to 80%; a model is built through an SVM or a decision tree, faults can be predicted, self-updating can be achieved, self-adaptive adjustment can be achieved according to chip parameter changes, independent data verification optimization, one-out-of-leave evaluation and gradient descent optimization are achieved. According to the method, multi-condition testing can be carried out on the system-level chip, abnormal values are accurately screened, features are extracted, faults are classified, a fault model capable of being self-updated is constructed, self-adaptive adjustment and verification optimization are achieved, the accuracy is improved, and the chip testing and fault diagnosis efficiency and accuracy are improved.

The invention discloses an automatic delay calibration method, device and equipment for an intelligent loudspeaker box system and a storage medium. The method comprises the steps that the intelligent loudspeaker box system is initialized, and environment detection is carried out to preliminarily configure system parameters; exciting the target sound channel and playing the target test signal; positioning a first test signal based on a VAD voice activity detection algorithm, judging the start and end of the first test signal, and identifying the time difference of the first test signal to obtain the delay time of the main sound channel; positioning the arrival time of the second test signal based on a peak velocity search algorithm, and identifying the delay time of the subwoofer; and performing delay time calibration on the subwoofer and each main sound channel, and dynamically adjusting the delay calibration parameter of each sound channel according to the delay time calibration amount, thereby realizing accurate time alignment of the subwoofer and the main sound channel. The problem of low-frequency signal delay which is difficult to process in the prior art is solved, and a breakthrough progress is achieved especially in coordination of the subwoofer and other sound channels.

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.

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.

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 embodiment of the invention discloses a cascade structure delay circuit, a signal delay method applied to a multi-stage delay unit, semiconductor test equipment and a time sequence generation chip, the circuit comprises a clock source, a signal input source and the multi-stage delay unit, and the multi-stage delay unit comprises at least two delay units connected in a cascade mode; the signal input end of the first-stage delay unit in the multiple stages of delay units is connected with a signal input source; and each delay unit in the multiple stages of delay units is used for delaying an input signal according to the delay configuration value received by the respective delay time configuration end, outputting a delayed output signal, and updating the delay configuration value according to the update interval time set by each delay unit. According to the embodiment of the invention, the overall delay precision and delay time range of the multi-stage delay unit is expanded, and the time precision of the synthetic waveform of the time sequence generation device of the semiconductor test equipment is 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.

An array substrate comprises a substrate body, a plurality of first wires, a plurality of second wires and a plurality of connecting electrodes. The plurality of first wires are provided on a first conductive layer; the plurality of second wires are provided on a second conductive layer, and the first conductive layer and the second conductive layer are located in different layers; the plurality of connecting electrodes are provided on a third conductive layer, and the connecting electrodes are respectively connected to the first wires and the second wires so as to connect the corresponding first wires and second wires, wherein orthographic projection areas of the connecting electrodes on the base substrate are not exactly the same. The array substrate may solve a problem of inconsistent signal delays on the second wires due to inconsistent lengths of the second wires.

The invention relates to the technical field of engine control, in particular to air flow meter signal delay compensation equipment for the transient air-fuel ratio of an engine. Comprising a data acquisition device which comprises sensors arranged in N sections of gas inlet pipes from the gas inlet front end of an engine to a gas inlet valve of the engine and is used for acquiring gas parameters in the multiple sections of gas inlet pipes; n is a positive integer; the delay calculation device is connected with the data acquisition device and obtains total delay time based on the gas parameters; and the delay chip is connected with the delay calculation device and controllably superposes the total delay time to the air flow meter, and the air flow meter outputs delayed flow meter signals. According to the method, the gas parameters of the multiple sections of gas inlet pipes are collected through the sensors, the time of gas passing through each section of gas inlet pipe is calculated, the total delay time between the gas inlet front end of the engine and the gas inlet valve of the engine is obtained, the total delay time is considered into the coordination advance in engine transient control, and the overshoot risk in the prior art is avoided.

An integrated circuit including: a first command value output circuit outputting a first command value to turn on a transistor for a first time period; an on signal output circuit outputting an on signal to turn on the transistor, in response to an inductor current decreasing to or below a predetermined value after turning-off of the transistor; a delay circuit delaying the on signal by a predetermined time period; a correction circuit generating a second command value to turn on the transistor for a second time period; a driver circuit turning on and off the transistor respectively based on the delayed on-signal and the second command value; and a second estimation circuit estimating the rectified voltage. The correction circuit corrects the first command value based on the first voltage, the estimated rectified voltage, and the predetermined time period.

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.

The invention relates to a programmable delay test circuit. An integrated circuit includes a test circuit, an analog delay circuit, and a sampler register, each configured to receive a signal. The delay circuit includes a configuration input and a phase having a final phase. The sampler register includes a result output and delayed inputs, each coupled to a respective delayed output of the phase. The sampler register is configured to output a sampled signal indicative of a relationship between the signal and at least a final one of the phases. The integrated circuit also includes a test circuit including a configuration output coupled to the configuration input of the delay circuit and including a result input coupled to the result output of the sampler register. The test circuit is configured to iterate the selected values to test the delay circuit and determine that the delay circuit passes the test when the relationship matches a predetermined criterion.

The invention discloses a light-sensing external trigger signal output device for laser far-field parameter analysis, comprising: a light signal detector, used for collecting laser signals irradiated on a target plate and outputting a pulse current signal; a signal primary amplification module, used for converting the pulse current signal into a pulse voltage signal and amplifying the pulse voltage signal; a signal superposition amplification module, used for amplifying the pulse voltage amplification signal output by the signal primary amplification module again; a laser pulse signal judgment module, comprising a comparator, used for setting a signal judgment threshold value, the comparator being connected to a monostable trigger, and the monostable trigger sending a trigger signal when the pulse signal is greater than the signal judgment threshold value set by the comparator; an MCU main control module, used for interrupt processing, trigger signal delay and output frequency setting, trigger signal output and transmitting a timing control signal to an imaging camera; a power management module, connected to an external power supply and supplying power to the remaining modules.

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 present disclosure relates to beam measurement and report methods, an apparatus, a system and a storage medium. One beam measurement method comprises: receiving first information, the first information being used for indicating a first TCI state; determining at least one first reference signal resource and / or a report amount according to the first information or the first TCI state, and performing measurement on the at least one first reference signal resource to acquire a measurement value of the at least one first reference signal resource; and reporting the measurement value of the at least one first reference signal resource. Determining the reference signal resource and / or the report amount of the reference signal resource by means of a beam indication instruction, and reporting the measurement value of the reference signal resource reduce the signaling delay and overhead of beam measurement and report.

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 discloses a multimodal data communication method and system using a Beidou satellite system, and specifically relates to the technical field of data transmission. During the communication process, the method can analyze the influence of delay deviations of satellites in different orbits and environmental factors on signal attenuation, dynamically evaluate the transmission delay degree of satellite signals, and based on the evaluation results, the system divides satellite signals into high-delay and low-delay signals, and adopts multimodal data fusion and signal optimization strategies for high-delay signals, effectively reduces command response errors, and dynamically adjusts communication strategies in combination with signal delay characteristics and command response error data, optimizes data transmission paths, and improves the execution efficiency of rescue missions and the real-time nature of information interaction. The invention breaks through the limitations of traditional satellite communication modes, enhances the stability, flexibility and intelligence of communications, and can effectively improve the overall response capability of emergency rescue missions.

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.