73 results about "Source-synchronous" patented technology

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 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.

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 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.

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.

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 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 provides a low-delay feedback communication system and a low-delay feedback communication method based on an FPGA (Field Programmable Gate Array), which allow data transmission to be started under any master clock without dead time. Meanwhile, received data are allowed to be automatically used for correcting the delay shift value in real time, manual setting is not needed, appropriate calibration parameters can be obtained only through two-layer circulation in the calibration process used for achieving delay self-calibration, the logic occupation amount is small, applicability is high, use is easy, convenient and reliable, and the method is suitable for large-scale popularization and application. The low-delay feedback is allowed to be realized in a simple and reliable manner. Particularly, by means of a specific calibration parameter valuing mode, the stability of correctly receiving data is further improved, and implementation of the low-delay feedback process is facilitated. Besides, in the invention, the transmission requirement of communication data can be met only by using a pair of differential signal lines, and a source synchronous clock (namely a channel associated clock) does not need to be sent.

A memory system includes a memory controller, a memory, and a data buffer coupled between the memory controller and the memory. The memory controller and the data buffer are mutually coupled through a first data bus and a first source synchronization signal bus, the first data bus is used for transmitting a first data signal, and the first source synchronization signal bus is used for transmitting a first source synchronization signal for performing sampling control on the first data signal; the first data bus and the first source synchronization signal bus are both bidirectional differential signal buses. The memory and the data buffer are mutually coupled through a second data bus and a second source synchronizing signal bus, the second data bus is used for transmitting a second data signal, the second source synchronizing signal bus is used for transmitting a second source synchronizing signal used for performing sampling control on the second data signal, the second data bus is a single-ended signal bus, and the second source synchronizing signal bus is a single-ended signal bus. And the second source synchronization signal bus is a bidirectional differential signal bus.

An integrated circuit and associated method of operation are provided for a target component coupled over a bus having multiple data path lines and a clock path line to an initiator component which generates a plurality of data bit signals and a first clock timing signal for transmission in parallel over the bus, where the initiator component includes transmit circuitry to launch a first plurality of even data bit signals over a first subset of the plurality of data path lines in response to a rising clock edge of the first clock signal and to launch a second plurality of odd data bit signals over a second subset of the plurality of data path lines in response to a falling clock edge of the first clock signal.

The invention discloses a source synchronization multi-cycle system and method for multi-IP data cross-clock domain synchronous processing in a chip. The system comprises an IP data input port, an IP clock input port, a receiving end clock input port, a first multiphase clock unit, a first REG unit, a second REG unit, a third REG unit, a fourth REG unit, a fifth REG unit, a first Mux unit, a second Mux unit, a phase detection unit, a second multiphase clock unit and a receiving end data output port. According to the invention, a traditional FIFO mode can be replaced by adopting a source synchronization multi-cycle method, so that time sequence synchronization can be kept after multiple IP modules are integrated.

The invention discloses a forging process oriented thermal deformation parameter intelligent identification and regulation method, which belongs to the technical field of metal forging intelligent control, and comprises the following steps: S1, thermal deformation data multi-source synchronous acquisition; s2, preprocessing the collected data; s3, performing feature engineering; s4, intelligent identification of thermal deformation parameters; s5, carrying out thermal deformation parameter threshold modeling and deviation analysis; s6, generating an intelligent regulation and control strategy; s7, the regulation and control strategy is executed, the generated regulation and control strategy is converted into a control signal of forging equipment, the control signal is transmitted to controllers of a forging machine, a heating device and a cooling system through an industrial bus, precise control over execution mechanisms such as the forging and pressing speed and the heating power is achieved, and meanwhile regulated and controlled thermal deformation parameters are collected in real time; the method has the technical effects that real-time accurate identification and dynamic optimization regulation and control of thermal deformation parameters are realized through multi-source data fusion, intelligent model identification and reinforcement learning decision, and the quality of forged workpieces and the production efficiency are effectively improved.

This invention relates to the fields of electrical signal acquisition and processing and power electronic control technology, and discloses a system and method for acquiring and processing excitation power supply synchronization signals. The system acquires the AC synchronization reference signal from the excitation power supply input side and forms an original synchronization sampling sequence through a synchronization signal input unit, a signal conditioning unit, and a sampling conversion unit. A candidate synchronization edge extraction unit identifies candidate synchronization edges, a local waveform feature extraction unit establishes a time window around the candidate synchronization edges and extracts local waveform features, a synchronization validity determination unit determines the valid synchronization edge, a pseudo-synchronization point processing unit eliminates invalid candidate synchronization edges or generates a corrected synchronization position, and a synchronization reference generation unit generates and outputs a synchronization reference signal based on the valid synchronization edge or the corrected synchronization position. This avoids pseudo-synchronization points induced by waveform distortion from directly entering the subsequent control link, reducing the risks of trigger angle deviation, sampling window misalignment, and control timing jumps.

The application discloses a high-speed spectral confocal signal processing system and method based on Zynq, which comprises the following steps: 1, collecting original linear array spectral images through a parallel multi-path source synchronous interface and decoding and receiving; 2, loading a pre-calibration dark signal to a hardware cache through a soft and hard collaborative mechanism to perform pixel-by-pixel operation to subtract the dark signal in real time; 3, extracting and counting electrical black reference pixel values in real time, and dynamically correcting the electronic background noise; 4, adopting a Savitzky-Golay filter with fixed-point solidification and logic optimization, random noise is smoothed under the premise of retaining spectral peak characteristics; 5, a sub-pixel peak searching method is deployed in hardware, which is a low-delay and high-precision sub-pixel peak searching method realized through dynamic adjustment of a local peak searching interval by cross-frame threshold prediction, based on first-order central difference and weighted linear fitting. According to the characteristics of high-speed spectral confocal measurement, the application efficiently adapts programmable logic resources, realizes pipeline processing in a soft and hard collaborative manner, and can meet the requirements of high-speed and high-precision and low-cost industrial measurement.

The application discloses a kind of based on multi-source data fusion's pump station dynamic regulation method and system, belong to agricultural water conservancy engineering and fluid metering technical field.The water pump start-stop event is trigger source, synchronous acquisition flowmeter output signal and pump group electrical parameter, utilize short-time Fourier transform to extract water hammer transient process main oscillation frequency, amplitude attenuation coefficient and initial phase, construct and the time-varying compensation function of strict correspondence of pipeline wave propagation equation, real-time frame compensation is carried out to flowmeter original output and is completed by integration cumulative error correction.For the water hammer scene of broken flow closure, set three conditions joint identification criterion and isolation processing branch, adopt interpolation reconstruction to replace invalid flowmeter reading.System also has pipeline characteristic self-identification ability, and is automatically completed pipeline characteristic identification by the spectrum statistics of initial start-stop event, and continuously optimizes compensation precision by self-learning mechanism of parameter library maintenance independently according to flow grading.

The invention discloses a full-spectrum water quality detection method with coupling compensation. The method comprises the following steps: acquiring a multi-source synchronous data packet containing spectral data and physical channel data; processing the data packet, and generating a transient scattering index and an event label; applying a jump Markov state space model, driving noise statistics of the model by using a transient scattering index and an event tag, processing spectral data and generating a transient-free absorption spectrum; and performing parameterized sparse comb demodulation and physical decurling processing on the transient absorption spectrum to generate a decurling absorption spectrum. According to the method, the physical state of the transient event is coupled with the noise statistics, and the problems of interference misjudgment and spectral feature distortion are solved by combining the decurling processing of the physical prior, so that the accuracy and robustness of detection are improved.

The application relates to the technical field of remote control, in particular to a communication management system for a flywheel energy storage system of a data center, which comprises a state synchronization module, an interval determination module, a trend mapping module and an instruction feedback module. In the application, the time sequence deviation caused by path difference is eliminated through unified clock interval acquisition combined with a sliding window average method, the multi-source synchronization accuracy is improved, a time delay fluctuation rate dynamic detection model is constructed based on speed interval transition, the adaptive deviation threshold is set through historical benchmark comparison, the abnormal recognition accuracy is enhanced, a speed range fluctuation curve and a packet loss rate Spearman rank correlation model are established, multi-dimensional coupling analysis of mechanical state and communication quality is realized, the traditional single-dimensional monitoring mode is broken through, a dynamic switching strategy is generated through a double-instruction triggering mechanism combined with a link topology table, a time delay parameter real-time feedback closed-loop control system is constructed, and the real-time performance and reliability of communication scheduling under complex working conditions are improved.

The application discloses a multi-source synchronous regulation method and system for an intelligent micro-grid, belongs to the technical field of new energy power generation control, and collects output parameters of multi-source power generation equipment in real time, sets reference parameters of the micro-grid, performs synchronous control on the multi-source power generation equipment through a constructed PID control model, dynamically adjusts PID parameters based on real-time feedback of the multi-source power generation equipment, optimizes the PID control model, realizes synchronous control of the multi-source power generation equipment and the micro-grid, improves response speed and stability of the micro-grid, and reduces energy loss; after synchronous control, a multi-source coordination model is constructed based on load demand, energy supply, energy storage state and economic cost, the multi-source coordination model is solved by using an ant colony optimization strategy, an energy dispatching optimization scheme is formulated, overall energy utilization efficiency is improved, and overall energy cost is reduced.

An integrated circuit and associated method of operation are provided for a target component coupled over a bus having multiple data path lines and a clock path line to an initiator component which generates a plurality of data bit signals and a first clock timing signal for transmission in parallel over the bus, where the initiator component includes transmit circuitry to launch a first plurality of even data bit signals over a first subset of the plurality of data path lines in response to a rising clock edge of the first clock signal and to launch a second plurality of odd data bit signals over a second subset of the plurality of data path lines in response to a falling clock edge of the first clock signal.