111 results about "Source-synchronous" patented technology

The invention relates to the technical field of voice recognition, in particular to a multi-channel voice conversion and synchronous transmission system applied to simultaneous interpretation. Multi-language voice signals are collected through a multi-microphone array, background noise is dynamically eliminated by adopting a noise suppression technology combining spectral subtraction and deep learning, and a dynamic information source verification symbol is generated to ensure data synchronization integrity; a blind source separation technology is combined with time-frequency analysis and time delay estimation to realize multi-language signal separation and synchronization, and a time sequence is dynamically adjusted through voice activity detection; an end-to-end ASR-NMT-TTS model is constructed to realize voice real-time translation and synthesis, and low-delay transmission is carried out based on a 5G network; the real-time monitoring module is adopted to dynamically adjust the output delay and the signal-to-noise ratio, and the translation delay and the synchronization precision are optimized in combination with user feedback. According to the method, dynamic noise reduction, multi-source synchronization and a self-adaptive feedback mechanism are integrated, the problems of distortion and delay of multi-language simultaneous transmission in a complex noise environment are solved, and the obvious technical synergistic effect and practicability are achieved.

The invention belongs to the technical field of permanent magnet synchronous generator demagnetization fault detection, and particularly discloses a permanent magnet motor fault early warning system based on big data, which comprises a high-frequency injection and grid-connected control module, a fault early warning module and a fault early warning module, actively injecting a high-frequency disturbance signal of which the frequency is higher than the fundamental frequency into a control loop of the permanent magnet synchronous generator; the multi-source synchronous acquisition module is used for synchronously acquiring multi-dimensional operation parameters of the permanent magnet synchronous generator and performing time domain alignment and frequency domain separation on the multi-dimensional operation parameters to obtain synchronous acquisition signals; the composite feature extraction module is used for extracting a multi-dimensional demagnetization criterion of the permanent magnet synchronous generator based on the synchronous acquisition signal; the self-adaptive threshold regression prediction module is used for performing fusion evaluation on the multi-dimensional demagnetization criteria by using the demagnetization health index model to generate a demagnetization judgment result of the demagnetization degree of the permanent magnet synchronous generator; the method has the advantages that the demagnetization recognition accuracy is improved, and early warning is achieved.

The invention provides a cleaning robot multi-mode motion control system, method and equipment and a medium, and belongs to the technical field of intelligent robot control. The system comprises a multi-modal data acquisition module used for performing multi-source synchronous acquisition on an environment image, distance information, a voice signal and a collision signal and outputting original sensing data; the data fusion and processing module is used for receiving the original sensing data, sequentially executing space-time alignment correction, multi-source feature fusion and instruction semantic analysis, and outputting an environment sensing result and a structured control instruction; the motion planning and decision-making module is used for executing global path planning, dynamic obstacle trajectory prediction and motion parameter decision-making based on the environment perception result and the structured control instruction, and outputting a motion control instruction containing a motion mode, a speed and an angle; and the motion control execution module is used for receiving the motion control instruction, converting the motion control instruction into an execution mechanism driving signal, realizing closed-loop control through real-time state feedback and outputting a motion execution result.

The invention discloses a high-precision SMT patch positioning method and system based on machine vision, and the method comprises the steps: carrying out the multi-source synchronous data collection of multiple sampling points, environment conditions and patch positions, and achieving the dynamic correlation analysis of environment variables and positioning errors based on a high-order feature and error modeling algorithm; a working condition label and an error distribution model are generated through judgment and classification, a supervised learning error compensation model is constructed on the basis, model parameters are dynamically updated by fusing online transfer learning to adapt to new working conditions, and real-time dynamic compensation of patch positioning errors under multiple working conditions is realized. According to the invention, the precision and stability of the chip mounting position information can be improved, the high precision and adaptive control of the automatic chip mounting process can be realized, and the robustness and generalization performance of the system to the working condition change can be effectively enhanced.

The invention discloses a self-adaptive recognition method and system based on a four-bar linkage single station machine motion trail, and belongs to the technical field of motion trail recognition. The method comprises the following steps: acquiring a multi-source synchronous data stream, detecting a peak interference frequency, adjusting an adaptive notch filter in real time, obtaining a pure geomagnetic field signal, calculating the equivalent length of a connecting rod by using angle and force data, and establishing a kinematics equation to solve track coordinates; establishing a magnetic field space gradient tensor model through a magnetometer array, fitting a nonlinear mapping relation between an angle and a gradient tensor, and generating a metal magnetic interference compensation model; judging a motion mode and dynamically adjusting filter parameters; constructing a fast and slow dual-time scale filter to fuse multi-source information, and introducing a fading factor to prevent divergence; a future angle is predicted by using a long-short-term memory neural network to serve as a virtual observed quantity to enhance the fault-tolerant capability; and optimizing the reconstruction trajectory through multiple physical constraints. According to the method, the track identification precision, the anti-interference capability and the system robustness are remarkably improved.

The invention discloses a multi-interference-source synchronous positioning method based on a single LEO satellite, and relates to the technical field of single-satellite multi-GNSS interference source positioning. The method comprises the following steps: firstly, establishing a scene in which a single satellite observes Doppler signals of multiple interference sources, modeling an interference source problem into an integer programming optimization problem, grouping Doppler observed quantities through equally-spaced sampling, and resolving frequency deviations and positions of the multiple interference sources by using a least square method; and further separating the homologous Doppler observed quantity by using a clustering method, and finally obtaining the accurate positions of a plurality of interference sources. According to the multi-GNSS interference source positioning method used in the invention, high-precision synchronous positioning of multiple ground interference sources by using a single low earth orbit satellite is realized, and the calculation complexity is reduced.

The invention discloses a power quality monitoring device adaptive detection system based on multi-source synchronous calibration and intelligent diagnosis, and belongs to the field of power system monitoring and metering detection. The system is composed of a multi-source signal calibration module, a dynamic time sequence alignment module, an intelligent error diagnosis module, a self-adaptive correction module and a data fusion calculation module. Through multi-source signal time mark synchronization, self-learning error correction and an intelligent diagnosis algorithm, high-precision and self-adaptive detection of the electric energy quality monitoring device is realized. The system can automatically identify and detect performance degradation and generate an early warning report, and has the advantages of high precision, high reliability and good engineering application prospect.

The invention provides a state machine management method based on a hierarchical architecture and a dynamic trigger mechanism, which adopts a four-layer nested state hierarchical architecture and comprises the following steps: acquiring an equipment initial state signal and starting a state machine working process; switching from an initial state to a task state according to a trigger mechanism, and executing a task action; determining a state transition path according to a task state execution result, switching to a stable state and executing a resource synchronization operation if task execution succeeds, and switching to a fault state and executing an exception handling action if task execution fails; and determining whether to recover to a task state or enter a safety mode according to a fault state processing result. According to the technical scheme, the reliability and the operation efficiency of the electric energy meter equipment are effectively improved, and the fault recovery capability and the resource management capability of the system are enhanced.

The invention relates to the technical field of offshore wind power grid connection, in particular to a low-frequency oscillation suppression method for an offshore wind power synchronous machine grid connection system, which comprises the following steps: acquiring inherent parameters of the synchronous machine grid connection system and active power reference instructions of each fan of an offshore wind power plant; according to the inherent parameters, control parameters of a preset damping controller are determined, and the damping controller is configured based on the control parameters; acquiring an actual operation frequency signal of the offshore low-frequency power grid in real time, and comparing the actual operation frequency signal with a preset rated frequency of the offshore low-frequency power grid to obtain a frequency deviation signal; inputting the frequency deviation signal into a configured damping controller, and outputting a damping power instruction; and superposing the damping power instruction and the active power reference instruction to generate an active power control instruction. According to the invention, the low-frequency oscillation of the new energy synchronous machine grid-connected system can be effectively suppressed, and meanwhile, the situation that the grid-connected safety is threatened due to the great fluctuation of the terminal voltage of the motor caused by suppression measures is avoided.

The invention relates to the technical field of intelligent traffic, in particular to an intelligent speed auxiliary test method and system, and the method comprises the steps: enabling a vehicle-mounted camera collection unit to collect an original video stream in real time, enabling a synchronous collection unit to be in butt joint with a GPS to obtain positioning information and a PPS time reference, and synchronously collecting a speed limit value and a timestamp outputted by an ISA system; performing time sequence alignment on the original video stream, performing data preprocessing to obtain a standardized image set, and performing time synchronization by using a time reference; inputting the standardized image set into a target detection model to obtain a guideboard bounding box, a category label and an initial confidence coefficient, and filtering invalid guideboard events; when an effective guideboard event is detected, associating the time-synchronized data with the event to obtain an associated event packet; and judging whether the speed limit value output by the ISA system is correct or not from multiple dimensions according to the associated event packet, and carrying out grading processing in combination with confidence to obtain a standardized test report. According to the scheme, the test precision is improved through multi-source synchronization.

A user equipment (UE), a base station (BS), and a method for managing UE operation in C-DRX. The UE includes a transceiver configured to receive configurations for a drx-onDurationTimer, search space sets for reception of a PDCCH, a first set of CSI-RS resources, SS / PBCH blocks, and a PUCCH resources; and the PDCCH that provides a DCI format including a field indicating whether or not to start the drx-onDurationTimer. A processor is configured to determine an indication by the field to not start the drx-onDurationTimer, and determine reception occasions for the first set of CSI-RS resources during the ON duration. The transceiver is configured to receive the first set of CSI-RS resources or the SS / PBCH blocks during at least one of the reception occasions. The processor is also configured to determine a CSI report based on a reception occasion, which can be transmitted using the PUCCH resource during the ON duration.

The invention discloses an electronic shaft printing machine control method and system based on the Internet of Things, and the method comprises the steps: collecting a printing tension value, a color register deviation image and motor rotating speed data in the operation process of an electronic shaft printing machine in real time, and generating a multi-source synchronous data set with a timestamp; performing sub-pixel-level edge extraction on the color register deviation image, and outputting a color register error feature vector; uploading the multi-source synchronous data set and the color register error feature vector to a cloud Internet of Things platform, and generating a cooperative control parameter packet containing a tension compensation coefficient and a color register correction amount by associating a historical fault database with a material characteristic parameter; generating a rotating speed adjustment instruction set of the servo motor based on the cooperative control parameter packet; and the rotating speed adjusting instruction set is issued to the PLC control system, and rotating speed closed-loop control is executed through the servo driver. According to the embodiment of the invention, high-precision self-adaptive adjustment in the printing process can be realized.

The invention relates to the technical field of aviation photoelectric imaging, in particular to a multi-load aviation photoelectric pod timing system control system which comprises a timing system analysis module, a synchronous control module, a communication control module and an information superposition module. The timing system analysis module generates an absolute moment, the synchronization control module provides a multi-source synchronization pulse signal, the communication control module realizes data interaction and generates additional information including the absolute moment, a pose and a system state, and the information superposition module synchronously superposes the additional information to image data. According to the technical scheme, automatic matching of the image and the telemetry data is achieved, the problems of poor synchronization precision and low efficiency caused by manual matching are solved, and the difficulty and workload of rear-end processing such as image splicing and radiation measurement are remarkably reduced.

The invention discloses a wafer level communication structure, a communication method and an AI chip. The wafer-level communication structure is characterized in that at least two bare cores are arranged on a wafer, one bare core is correspondingly provided with a message switching network group, and the message switching network group comprises a plurality of on-chip message networks arranged in a matrix mode; the first communication group and the second communication group are respectively arranged at the peripheries of the two message switching network groups, and the source synchronous bus is connected with the first communication group and the second communication group and establishes a communication handshake; during data transmission, when the number of message network data cached by a data receiver is greater than or equal to a preset threshold value, the data sender pauses data sending according to the first handshake information; and when the number of the message network data cached by the data receiver is lower than a preset threshold value, the data sender continues to send data according to the second handshake information. According to the technical scheme, data loss in the transmission process can be effectively avoided, and high-speed and high-bandwidth communication is achieved.

The invention provides an accelerator low-level control system and method, and relates to the technical field of accelerators. A shared reference source synchronously drives a first signal generation unit and a second signal generation unit, so that a local oscillator signal and an intermediate frequency signal naturally have a phase coherence relationship; the risks of phase inconsistency and noise superposition introduced by multi-unit independent phase locking are reduced from the source; meanwhile, by carrying out coupling sampling on the radio frequency signal and generating digital in-phase data and digital orthogonal data, vectorization measurement on the amplitude and the phase of the radio frequency signal is realized, so that the processing module can generate a compensation instruction in real time based on a calibration error and adjust the amplitude and / or the phase of a local oscillator signal and the amplitude and / or the phase of an intermediate frequency signal on line; therefore, a closed-loop calibration and compensation mechanism is formed, the phase stability, the amplitude stability and the signal purity of radio frequency output are remarkably improved, and the repeatability and the reliability of long-term operation of the system are improved.

The invention provides a segmented heat control welding method and system for a dual-phase steel thick-wall component, and relates to the technical field of welding. The method comprises the steps that a segmented unit planning set is constructed; generating a segmented unit multi-source synchronous data set; constructing a welding thermal cycle characteristic parameter set; generating a welding control constraint set; obtaining a segmented heat input deviation instruction set; generating a welding process parameter adjusting instruction; and according to the actual welding seam structure performance in the long-term welding process, a parameter optimization algorithm is adopted to optimize the adjustment process, and continuous updating of the segmented heat control welding model is achieved. The technical problems that in the prior art, heat input control is extensive, temperature field monitoring is not comprehensive, technological parameter adjustment lags behind, and quantitative bases are lacked are solved.

The invention provides a quantum relay system and method for single copy entanglement purification, and relates to the technical field of quantum communication, the quantum relay system comprises a relay node, a first hyper-entanglement source, a second hyper-entanglement source, a first node and a second node; the relay node is used for synchronously sending pulse signals to the first hyper-entanglement source and the second hyper-entanglement source; a first hyper-entanglement source for generating a first hyper-entanglement quantum pair in response to the pulse signal; a second hyper-entanglement source for generating a second hyper-entanglement quantum pair in response to the pulse signal; the first node is used for carrying out entanglement purification on the first idler frequency photon and the first signal photon in the first hyper-entanglement quantum pair together with the relay node; and the second node is used for carrying out entanglement purification on the second idle frequency photon and the second signal photon in the second hyper-entanglement quantum pair together with the relay node, so that the relay node realizes quantum relay between the first node and the second node based on the purified first signal photon and the purified second signal photon.

The invention relates to a printed circuit board solder resisting method, which is characterized in that distinguishable miniature passive synchronous marks are preset in a PCB design stage, and optical phase coding is combined, so that multi-dimensional physical identifier embedding and automatic parameterization layout design are realized. Before and after exposure, a high-speed imaging detection and self-adaptive optical algorithm is adopted, phase response of multiple layers of synchronous marks is collected and normalized, multi-dimensional alignment reference features are extracted, a distribution alignment error model is established, overall rigid displacement and local stress deformation are distinguished, exposure equipment parameters are corrected in real time based on the model, and space error compensation is achieved.

The invention provides a crossing sluice intelligent regulation and control method and system based on multi-sensor data fusion, and the method comprises the steps: obtaining multi-source synchronous data collected by a water level sensor, a flow sensor and a structural stress sensor; evaluating whether a gate overload risk exists in the current working condition according to the multi-source synchronous data; when the overload risk exists, the dynamic model is used for obtaining the target gate opening degree; the gate opening degree is regulated and controlled according to the target gate opening degree; and the regulated gate opening degree is obtained to optimize the dynamic model. Through multi-source sensor data fusion and dynamic model prediction control, real-time early warning and self-adaptive regulation and control of the gate overload risk are realized, a closed-loop optimization system is formed, and compared with a traditional method, the control precision is remarkably improved.

This invention discloses an IoT-based energy management system for carbon black production equipment. The system includes: collecting energy consumption data and production condition data and unifying timestamps to form a multi-source synchronous data stream; performing standardization and resampling to form an online input dataset; constructing a time-delay structure to expand samples and form a causal discovery training sample set; initializing a directed sparse causal gating matrix and time-delay selection parameters and embedding a MambaTS selective state-space long sequence modeling model to form a parameterized association model; performing state recursive calculations to generate a state representation sequence and a model output dataset; and updating the causal gating parameters based on the model output dataset to form an updated state representation sequence. This invention achieves online consistent association modeling of energy consumption data and production condition data, improving the reliability and operational stability of online energy management associations.

A memory controller integrated circuit includes a clock signal generator circuit configured to generate a plurality of strobe signals. The memory controller integrated circuit further includes a memory interface circuit coupled to the clock signal generator circuit, the memory interface circuit configured to transmit the plurality of strobe signals to a memory module, wherein each of the plurality of strobe signals is offset with respect to an adjacent strobe signal, and transmit a plurality of data signals to the memory module, wherein a first subset of the plurality of data signals comprises a first nibble and is phase aligned with a first strobe signal of the plurality of strobe signals, and wherein a second subset of the plurality of data signals comprises a second nibble and is phase aligned with a second strobe signal of the plurality of strobe signals.

The invention discloses a fault detection method for an explosion-proof and intrinsic safety type hybrid electric appliance switch based on artificial intelligence, and relates to the technical field of intelligent operation and maintenance of power equipment, and the method comprises the following steps: S1, synchronously collecting multi-modal sensing data during the operation of the hybrid electric appliance switch through a plurality of intrinsic safety type sensors synchronously driven by a unified clock source; the multi-mode sensing data at least comprises electrical sensing data and mechanical vibration sensing data. According to the fault detection method for the flame-proof and intrinsic safety type hybrid electric appliance switch based on artificial intelligence, through a multi-mode synchronous acquisition and deep fusion architecture, the technical problem that fault feature acquisition is incomplete and asynchronous under strict explosion-proof constraints is effectively solved. Through a processing mechanism of edge calculation and cloud collaboration, accurate capture and intelligent screening of electromechanical coupling features are realized, the accuracy and reliability of fault diagnosis are improved by combining dual verification and a confidence fusion decision model, and effective technical support is provided for early fault early warning.

A method for Design For Test (DFT) for Source Synchronous Interfaces (SSI) includes shifting a test vector into a master register slice with a DFT clock. A functional clock is generated. The test vector and the functional clock are launched from a first SSI of the master register slice. The test vector and the functional clock are captured with a second SSI of a slave. The test vector is shifted out of the slave with the DFT clock.

The invention relates to quantum key distribution, in particular to a quantum key distribution system and method of a single copy QPA based on hyper-entanglement, a hyper-entanglement photon pair source synchronously generates a hyper-entanglement photon pair which is in a maximum entanglement Bell state at a polarization degree of freedom and an energy-time degree of freedom; the QPA processing module is positioned in the transmitting end Alice and the receiving end Bob, and is used for projecting energy-time high-dimensional entanglement to a path degree of freedom and realizing deterministic CNOT gate operation between different degrees of freedom in a single photon; the detection and post-processing module is located in the transmitting end Alice and the receiving end Bob, selects coincidence events with consistent detection results, and generates a final security key by using a distilled entangled state with higher fidelity on the degree of freedom of polarization; according to the technical scheme provided by the invention, the defect that reliable quantum key distribution is difficult to realize in a complex channel environment in the prior art can be effectively overcome.

Disclosed herein are playback devices, groups of playback devices, and methods of operating playback devices and groupings thereof, wherein individual playback devices are configured to detect and correct clock rate drift by synchronizing a clock rate and perhaps clock time of a local clock to a remote time source.

The invention provides a role synchronization method and device in a project, electronic equipment, a storage medium and a program product. Specifically, the role synchronization method in the project comprises the following steps: displaying a member synchronization configuration item in a member configuration area in response to determining that a role type of a first role included in a first work item is a calculation role; in response to a configuration operation for the member synchronization configuration item, determining a synchronization rule corresponding to the first role; and based on the synchronization rule and the attribute information, determining and synchronizing a target role of a target work item and / or a target member corresponding to the target role to the first role. Therefore, by utilizing the capability support of the calculation role, the same role can specify different sources according to conditions, the member values are synchronized according to the sources corresponding to the hit conditions in actual operation, and overlarge calculation amount and overload performance are avoided while the configuration complexity is reduced.

The invention provides a real object management system and method based on a bidirectional synchronization mechanism, and the system comprises a real object management module which is used for processing the management operation of universal terminal devices, and distributing a unique serial number for each universal terminal device; the data resource management module is used for storing and managing data resources related to the universal terminal equipment; and the synchronization interface is arranged between the real object management module and the data resource management module and is used for realizing communication and data synchronization between the real object management module and the data resource management module. The method comprises an object management module initialization step, a data resource management module initialization step, an equipment storage step, an equipment allocation step and a data synchronization step. The invention aims to realize automatic and real-time synchronization between physical resources and data resources, improve the management efficiency and accuracy and ensure the consistency and integrity of data.

The invention belongs to the field of chip design, and relates to a device and method for automatically checking clock interaction path asynchronous constraint rationality, and the device comprises an information generation module, a source synchronization degree score calculation module, a mutual exclusion degree score calculation module and a report generation module, and generates a clock interaction report required by a subsequent process based on a sign-off session. Extracting a clock pair which has signal interaction and is set to be not subjected to time sequence check, and forming a to-be-verified clock list L1; performing source synchronization degree score calculation on the clock pairs in the to-be-verified clock list L1, and forming an accurate check list L2; and common logic unit mutual exclusion degree calculation is carried out on the clock pairs in the precision check list L2, and a final clock list L is formed. In a chip design period, on the basis of the design constraint file, the clock pairs which have clock interaction but are set as non-check time sequences are automatically verified, and the clock pairs with wrong setting risks are displayed, so that the chip failure risk is effectively reduced.

The invention discloses a sampling method and device for source synchronous communication, terminal equipment and a storage medium. The sampling method comprises the following steps: acquiring a Slave path initial delay value and a Master path initial delay value of a communication receiver; according to the initial delay value of the Slave path and the initial delay value of the Master path, window sweeping and ping-pong switching operation are repeatedly executed, when the time for executing the window sweeping and ping-pong switching operation is larger than a time threshold value, adjustment of a communication receiver is completed, and sampling of source synchronous communication is carried out based on the adjusted communication receiver. According to the invention, based on the burr-free data duration of the Slave path and the burr-free data duration of the Master path, the Slave path and the Master path are controlled to carry out switching output, thereby ensuring that the communication equipment can transmit stable burr-free transmission data, and improving the stability of data transmission when source synchronous communication is at an optimal sampling position.

The present invention relates to selection of synchronization source among various synchronization sources which include sources determining the synchronization signal from the network such as base stations (network nodes) or user equipments which receive the synchronization signal possibly over other hops from the base station, and which further includes sources which do not determine their synchronization signal from the network. The selection of the synchronization source is performed by choosing the source with the most reliable synchronization signal based on a metric calculated for each of the sources considered. In particular, the metric is based on the type of the source, number of hops between the network and the source and / or received signal quality. After selecting the source, the timing of the device is adapted accordingly.