9 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 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 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 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.

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.

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.