18 results about "Phase mapping" patented technology

The invention discloses a multi-target cooperative control method for a production system, and the method comprises the steps: collecting and preprocessing multi-source data of wire harness production, and constructing a multi-dimensional structure containing processes, materials, carriers and time phases; establishing a time-phase mapping and dynamic evolution mechanism based on the multi-dimensional structure, and generating a target time-phase association set; takt, material in-place and carrier circulation signals are extracted, a multi-frequency phase set is constructed, and a comprehensive deviation signal is formed; constructing a multi-frequency phase-locked group control module, and generating three types of multi-target control instruction sets of takt, material and carrier; inputting the target association set and the control instruction set into an improved Longform model to generate a prediction control vector of the next period; and according to the predictive control vector output parameter, dynamically updating the plan and path configuration and rolling and correcting the phase locking parameter. According to the invention, through multi-dimensional time phase modeling and the improved Longform model, cooperative control optimization of the wire harness production takt, the material and the carrier is realized.

The invention belongs to the technical field of braille alphabet identification, and discloses an optical fiber sensing braille alphabet identification method and system. Comprising the following steps: in a process that a user slides a finger to read braille, obtaining an original phase sequence output by an optical fiber sensor, and calibrating a dynamic response of each braille salient point based on a high-resolution time baseline to form dynamic phase mapping corresponding to a fingertip sliding speed; under the support of dynamic phase mapping, a time sequence difference operator is introduced, and a burst gradient exceeding a normal bump height change range is extracted by comparing phase evolution gradients of adjacent time slices. According to the invention, through a dynamic phase mapping and self-adaptive compensation method, accurate identification and correction of drift errors in braille signals are realized, and the identification accuracy and the anti-interference capability are improved; through combination of disturbance modulation and reverse modeling, regular drift is effectively stripped, character level recognition continuity and stability are ensured, and the method is suitable for braille information extraction in various complex environments.

The invention discloses a grid drive short-circuit protection method based on dV / dt detection, which relates to the technical field of power electronics, and comprises the following steps: constructing a unified time frequency reference baseline, executing all-phase mapping on each power device of a parallel system, reconstructing a conduction sequence, and calculating a phase difference between a voltage rising edge and sampling trigger. Generating a time frequency dislocation matrix, and determining a phase dislocation risk window; and executing causal playback in the phase dislocation risk window, extracting transient waveform characteristics of a voltage rising edge, eliminating parasitic pseudo peaks, obtaining an effective response trajectory, generating a sampling phase check anchor point based on the trajectory, and constructing a phase reference baseline. According to the method, a unified time-frequency baseline and a dynamic sampling mechanism are constructed to realize phase synchronization of sampling and conduction, the sampling rhythm and the turn-off threshold are optimized in combination with feed-forward vibration suppression and residual adjustment, the short circuit identification speed and precision are improved, and the method has self-healing and self-correcting capabilities and is suitable for high-frequency and high-power density scenes.

The invention discloses a monitoring and feedback method in a thread forming process, a thread extrusion system and application, and the method comprises the steps: synchronously collecting process signals in the thread forming process, generating reference information according to thread pitch phase mapping, and carrying out the real-time comparison and recognition of a phase interval deviating from a threshold value; and in combination with processing stage information, tentative disturbance is implemented during subsequent occurrence, response data is collected, directional process intervention synchronous with the phase is executed after an abnormal type is confirmed, the processing quality is judged based on the intervened phase data, and a control condition is output. According to the technical scheme, accurate state detection and closed-loop control in the thread machining process can be achieved under the condition of no visible light, it is guaranteed that the thread quality is stable, and the machining efficiency and equipment adaptability are improved.

The application discloses a kind of multilayer multi-frequency radial stripe encoding and decoding method and device, to solve the technical problems that the existing stripe encoding and decoding mostly uses traditional single direction modulation stripe encoding and decoding technology to cause high projection cost.The method comprises obtaining stripe image basic parameters and preset frequency range, and generating multi-frequency stripe geometric parameters.After constructing stripe encoding pattern based on preset radius and angle conditions, signal encoding and phase shift zero point signal are extracted respectively, and the main pattern is calibrated to zero using zero point signal.The processed pattern is projected to the measured object, and after collecting multiple stripe images, the target absolute phase is obtained according to the frequency decoding of each frequency band stripe.Finally, three-dimensional information is output through depth phase mapping model.

This application discloses an embedded distributed fault diagnosis terminal in the field of power distribution automation fault diagnosis technology. It extracts the characteristics of current and voltage slope changes by constructing a set of disturbance segments with time-series index. After aligning the start time of multiple channel changes, it generates a linkage control group. Then, it establishes branch mapping numbers by combining phase mapping and issues control commands to generate a list of tripping channels. Finally, it generates diagnostic results by monitoring current changes and standby channel status through closed-loop feedback. This solves the problems of delayed fault location and frequent misjudgments caused by the lack of multi-channel signal linkage fine identification and closed-loop verification in existing FTU and DTU diagnosis. It realizes the time-series alignment and closed-loop verification of fault features and improves the accuracy and isolation efficiency of fault channel screening under complex distribution networks.

The application provides a MIPI C-PHY eye diagram simulation method, computer equipment, a program product and a storage medium, and comprises the following steps: generating three-phase mapping codes of three ports A, B and C of a transmitting end according to an NRZ code type signal generated by the transmitting end; generating a transmitting end output waveform according to the three-phase mapping codes, so as to obtain a single-edge response signal of a single-end receiving end A, B and C; obtaining a first waveform of the single-end receiving end A, B and C by bit-by-bit superposition of the single-edge response signal, and obtaining a second waveform of a differential receiving end AB, BC and CA according to the first waveform; and generating a traditional eye diagram and a trigger eye diagram based on the second waveform of the differential receiving end AB, BC and CA. The scheme can be applied to the eye diagram simulation of the MIPI C-PHY, so that the MIPI C-PHY eye diagram can be efficiently and accurately evaluated.

The invention relates to the technical field of electronic countermeasures, in particular to an FPGA resource optimization type digital mixing method based on sparse LO sequence and phase mapping. Echo signals from different transmitting frequency points are moved to a fixed intermediate frequency in a unified manner through analog frequency mixing operation, so that frequency decoupling of a radio frequency front end and a digital rear end is realized; and then performing digital frequency conversion processing in the FPGA by adopting a sparse-designed local oscillator sequence in combination with a phase mapping strategy to generate a zero intermediate frequency baseband signal. Therefore, hardware resources such as the DSP and the BRAM are saved. The method can be applied to application scenes sensitive to hardware resources, such as an electronic interference system, an unmanned aerial vehicle detection radar, a software defined radio system and the like, and belongs to a low-resource digital frequency conversion method.

The invention discloses a user dynamic state prediction method and system based on a space-time relative phase, and belongs to the technical field of artificial intelligence and data mining. The method comprises the following steps: acquiring space-time coordinate data of a user terminal, and processing the space-time coordinate data into a standardized space-time feature vector according to a predefined rule; obtaining individual state data of a user, and quantifying the individual state data into a user state feature vector; splicing the spatio-temporal feature vector and the user state feature vector, inputting the spliced spatio-temporal feature vector and the user state feature vector into a pre-trained spatio-temporal phase mapping model, and calculating to obtain a relative phase value used for representing the dynamic interaction relationship between the user and the spatio-temporal environment; user state predictors and / or a set of machine executable behavior intervention instructions are generated based on the relative phase values. By introducing and quantizing the space-time environment parameters, the technical problems that an existing prediction method is single in data dimension and the model statically lags are solved.

The invention discloses a container directional display system based on space phase mapping. According to the system, asymmetric locking interfaces (401 and 402) are arranged at the bottom of the container, and vertical space phase calibration logic L is utilized, so that mechanical positioning phases at the bottom are rigidly correlated with visual features (102) and opening structures at the top. In cooperation with a specific array type shelf base, automatic and accurate alignment of the packaging containers at the retail terminal is achieved, the problem that brand identifications are disordered due to rotation randomness of traditional packaging is solved, and meanwhile the extremely simple aesthetic effect of packaging is improved in cooperation with the hidden type indentation design (103).

The application discloses a kind of multi-objective cooperative control methods for production system, comprising: collecting the multi-source data of wire harness production and preprocessing, constructs the multidimensional structure containing process, material, carrier and time phase;Based on multidimensional structure, establish time phase mapping and dynamic evolution mechanism, generate target time correlation set;Extracting beat, material to place and carrier circulation signal, construct multi-frequency phase set and form comprehensive deviation signal;Construct multi-frequency phase-locked group control module, generate three types of multi-objective control instruction set of beat, material and carrier;The target correlation set and control instruction set are input into the improved Longformer model, and the next cycle prediction control vector is generated;According to the output parameter of prediction control vector, dynamically update plan and path configuration and rolling correction phase-locked parameter.The application realizes the cooperative control optimization of wire harness production beat, material, carrier by multidimensional time phase modeling and improved Longformer model.

An amplifier (100) is provided for amplifying a complex input communication signal (109) having an in-phase and quadrature component. The amplifier has a modulation circuitry (110) configured to convert the input signal to quantized samples (111) by performing oversampling, where the quantized samples represent a finite set of constellation points; and a phase mapping circuitry (120) configured to map the quantized samples onto two constant-envelope phase-modulated signals (121, 122) selected from a finite set of constant-envelope phase-modulated signals (172, 221-224) having a carrier frequency fc (171) and (different) constant phases. A first and second power amplifier (130, 140) is configured to amplify the two constant-envelope phase-modulated signals by a gain G; and a combiner (150) is configured to combine the two amplified constant-envelope phase-modulated signals (131, 141) thereby obtaining a complex output communication signal (151) with the carrier frequency fc representing an amplification (161) of the complex input communication signal (109).

This invention discloses a fault early warning and maintenance system for pin sprockets based on load wear monitoring, belonging to the field of fault monitoring technology. It includes: a phase mapping module, which determines the location nodes and force-bearing edges based on the operating phase parameters of the pin sprocket, and associates the location nodes with the force-bearing edges to form a phase location map; a state mapping module, which identifies the measurable and hidden contact parts in the location nodes according to the phase location map, and maps the state perception of the measurable parts to the hidden contact parts according to the force-bearing edges, generating a location state record; and an impact separation module, which divides the location state record into meshing cycle segments according to the phase location map, and separates the periodic impacts from the meshing cycle segments to generate a phase damage record. This invention improves the closed-loop nature and executability of fault prediction and health management by matching the fault location, fault type, and remaining location state with maintenance tasks.

The application relates to a PGC light intensity and phase mapping demodulation method and device based on machine learning. The method comprises the following steps: a single-frequency laser is injected into an interference type optical fiber sensor, a data acquisition card is used to apply a PGC high-frequency carrier through internal / external modulation, and interference light carrying a to-be-measured physical quantity is output by the sensor; an optoelectronic detector is used to convert the interference light into an electrical signal, and a normalized long-time-domain light intensity digital signal is obtained through the data acquisition card. The demodulation device divides the signal according to a single PGC cycle, performs Fourier transform, inputs frequency domain features into a random forest regression model, outputs a modulation depth, and feeds back a stable modulation voltage. The stable signal is input into a support vector machine regression model optimized by a particle swarm, an initial phase is solved, splicing is performed, direct current is eliminated, and a phase time delay is eliminated, and finally, a to-be-measured physical quantity is demodulated, so that the system demodulation cost can be reduced.

The invention discloses an OAM mode coding and decoding method and system carrying phase difference under ocean turbulence, and the method comprises the steps: converting original image data to be transmitted into binary data, and carrying out the OAM coding; performing OAM modulation on the data on Gaussian light through holographic phase mapping to obtain an original light intensity graph; in the ocean turbulence environment, a distorted OAM light intensity graph data set is obtained; and performing pattern recognition on the distorted OAM light intensity graph data set by using the trained dual-path attention enhancement DenseNet121 model, and recovering the data. The objective of the invention is to improve the recognition capability of a complex OAM mode in a strong turbulence environment, realize high-capacity and low-bit-error-rate image transmission, and provide effective support for a high-capacity and high-reliability underwater OAM communication system.

The invention provides an MIPI C-PHY eye pattern simulation method, computer equipment, a program product and a storage medium. The MIPI C-PHY eye pattern simulation method comprises the following steps: generating three-phase mapping codes of three ports A, B and C of a transmitting end according to an NRZ code pattern signal generated by the transmitting end; generating a transmitting end output waveform according to the three-phase mapping code, and obtaining single-edge response signals of single-end receiving ends A, B and C; first waveforms of the single-end receiving ends A, B and C are obtained by superposing the single-edge response signals bit by bit, and second waveforms of the differential receiving ends AB, BC and CA are obtained through calculation according to the first waveforms; and generating a traditional eye pattern and a trigger eye pattern based on the second waveforms of the differential receiving ends AB, BC and CA. The scheme can be suitable for eye pattern simulation of the MIPI C-PHY, so that the MIPI C-PHY eye pattern can be efficiently and accurately evaluated.

The application belongs to the technical field of Braille recognition, and discloses a fiber-optic sensing Braille recognition method and system. The method comprises the following steps: in the process of reading Braille by sliding fingers, the original phase sequence output by the fiber-optic sensor is acquired, and the dynamic response of each Braille convex point is calibrated based on a high-resolution time baseline to form a dynamic phase mapping corresponding to the sliding speed of the fingertip; under the support of the dynamic phase mapping, a time sequence difference operator is introduced, the phase evolution gradient of adjacent time slices is compared, and the burst gradient exceeding the normal convex point height change range is extracted. Through the dynamic phase mapping and the adaptive compensation method, the application realizes accurate recognition and correction of drift errors in the Braille signal, improves the recognition accuracy and anti-interference ability; combined with disturbance modulation and reverse modeling, the regular drift is effectively stripped to ensure the continuity and stability of character-level recognition, and the application is suitable for Braille information extraction in various complex environments.

This invention relates to the field of electronic digital data processing technology and discloses a data processing system for antibody sequence optimization, comprising: a latency sensing module for acquiring network transmission latency data between computing nodes and a data aggregation center; a logical alignment module for setting virtual aggregation times and assigning logical weight positions; a phase mapping module for calculating the transmission phase offset of computing nodes; and a gating execution module for enabling the hardware-level clock gating function of the interface controller and writing antibody sequence fragment data packets into the logical data channel at the trigger time. This invention establishes a transmission phase compensation mechanism, enabling deterministic serial interleaving of multi-source data packets at the data aggregation center, eliminating communication latency between nodes, achieving synchronous alignment of computing resources with the data evolution state, and improving the overall throughput efficiency of industrial cloud platforms in processing high-dimensional interactive data streams.