56 results about "Parallel processing architecture" patented technology

The invention provides a method for automatically calibrating collected data of high-precision measurement and control deformation monitoring equipment, and belongs to the technical field of wind tunnel inner profile measurement. Multi-equipment clock synchronization is realized by establishing a unified time reference system, and measurement data of different frequencies are processed by adopting a CPU-GPU heterogeneous parallel processing architecture, so that the measurement accuracy is improved. The method comprises the following steps: performing three-level alignment on time, space and precision dimensions by using a multi-level clustering algorithm, eliminating clock differences among equipment by using a clock drift correction equation set, establishing a space coordinate system conversion matrix to unify a global coordinate system, and performing adaptive data fusion according to a precision weight by using a Kalman filtering fusion algorithm. And a data quality evaluation system is established to ensure the accuracy of a calibration result, a high-precision calibration data set is finally output, and the technical problem that the measurement precision is reduced due to space-time inconsistency of heterogeneous data of multiple devices is solved.

The invention provides a data error compensation method for a biological net port flowmeter, and belongs to the technical field of ocean detection. A multi-dimensional sensor is arranged at a biological net port to collect fluid parameters, a deep learning model is used for recognizing multi-phase flow characteristics, and a corresponding compensation strategy is selected; based on a correlation analysis algorithm, compensation processing frequency is dynamically adjusted to achieve self-adaptive balance of precision and efficiency, the flow state change degree is monitored through the Euclidean distance, compensation parameters are hierarchically adjusted to ensure system stability, a parallel processing architecture is adopted to execute coarse compensation and fine compensation algorithms at the same time, and results are fused according to weights. Finally, dynamic and accurate compensation of the measurement error of the biological net port flowmeter in the complex multiphase flow environment is achieved, and the technical problem that in the prior art, the biological net port flowmeter cannot achieve dynamic and accurate error compensation in the complex multiphase flow environment is solved.

In order to solve the key problems of difficulty in multi-source information fusion, insufficient spatial topology modeling, attenuation of long-term prediction precision and the like in an existing aircraft ground taxiing trajectory prediction method, a parallel processing architecture of a historical trajectory encoder and a pavement path encoder is designed, and trajectory time sequence features are extracted by using a long-short-term memory network; modeling a spatial topological relation of a control path by adopting a graph attention network, and realizing effective integration of heterogeneous information through a feature fusion layer; a multi-component loss function fusing the position, the speed and the acceleration is provided, and the continuity and the smoothness of a prediction track are constrained; a lightweight data enhancement strategy and an adaptive residual connection mechanism are designed, the model generalization ability is improved, and long-term prediction error accumulation is relieved. According to the method, multi-source trajectory information can be effectively fused, and the accuracy and stability of aircraft ground taxiing trajectory prediction are remarkably improved.

The invention discloses a waveform recognition implementation method based on waveform template matching of an FPGA (Field Programmable Gate Array), which adopts a flexible template configuration mechanism to support self-defined waveform recognition, does not need to depend on deep learning and large-scale data training, and meanwhile, through a configurable frequency parameter and a dynamic zero calibration mechanism, the waveform recognition can be realized. And the method is suitable for different precision, frequency range and direct current bias scenes. On the hardware implementation level, the parallelism and assembly line characteristics of the FPGA are fully exerted, an n-path parallel processing architecture is constructed, a lightweight result processing strategy of intra-group iteration updating to inter-path preferential selection is matched, storage resource occupation is remarkably reduced, and the recognition speed and reliability are guaranteed through a dual-mode judgment mechanism of rapid matching and full-quantity matching. According to the method, the defects of a traditional template matching method are overcome, meanwhile, the problems that a deep learning scheme is difficult to deploy, high in computing power requirement and high in data dependence are solved, and the practical value of the system in multiple scenes is remarkably improved.

The invention discloses an automatic weighing and sorting device integrated on a fastener production line, and relates to the field of fastener sorting, the automatic weighing and sorting device comprises a feeding vibration disc, the feeding vibration disc is provided with a spiral feeding conveying main channel, and the conveying main channel is provided with a plurality of conveying branch channels communicated with the conveying main channel; a plurality of rollers used for assisting in pushing the fasteners to move are rotationally arranged on the conveying branch channels in a penetrating mode, soft magnetic strips used for attracting the fasteners in the conveying main channel into the conveying branch channels are fixedly arranged in the rollers, an auxiliary mechanism is arranged on the conveying branch channels, a feeding mechanism is arranged on the auxiliary mechanism, a U-shaped frame is arranged at the moving end of the feeding mechanism, and the U-shaped frame is fixedly arranged on the conveying branch channels. According to the screw sorting machine, conveying is divided into channels, a multi-channel parallel processing framework is formed, the sorting machine achieves the parallel type working process, the feeding mechanism can enable the U-shaped frame to achieve two-time discharging, the screw weighing and sorting efficiency is improved, and through cooperation of the rotating rollers and the soft magnetic strips, the probability of clamping stagnation caused by interlocking is reduced.

The application discloses a kind of legal document intelligent generation method based on large language model, comprising with: 1) by double-branch parallel processing architecture, the natural language case description of user input is sent into large language model semantic understanding passage and rule engine field extraction passage parallel processing simultaneously, two passages are executed asynchronously and do not block each other, after the result is combined in aggregation node, legal document is generated;2) multi-round dialogue guidance and element check: through multi-round natural language dialogue, user case information is collected, and the filling state of each element is recorded by maintaining dialogue state slot. When detecting the missing of mandatory elements, actively initiate the user to ask questions, and execute element integrity check after all mandatory elements are collected. 3) through the block chain storage mechanism, SHA-256 hash solidification is carried out on the key electronic evidence and is chained, and the electronic data storage certificate with legal effect is generated. At the same time, the legality of the recording evidence is detected, and the evidence list containing the storage state is automatically generated. The application effectively solves the problems of element missing, low efficiency and evidence hidden danger in the existing legal document generation scheme, and provides a low threshold and high reliability legal document intelligent auxiliary generation tool for ordinary users.

This invention discloses a child fall monitoring method based on motion capture, belonging to the field of intelligent protection technology. The method includes: acquiring video of a child's activities and performing posture estimation to form a continuous sequence of activity frames; performing dual-channel parallel processing on the continuous activity frame sequence to obtain skeletal motion features and trunk motion features; performing spectral analysis and instantaneous velocity calculation on the skeletal motion features to obtain the velocity of lower limb bones, and simultaneously performing dense optical flow calculation on the trunk motion features to generate trunk optical flow velocity; based on the child's fall risk value, performing real-time posture tracking and surrounding environment scanning of the child's activity state, and collecting motion trajectory data; and performing a hazard classification response based on the motion trajectory data to output an intelligent protection plan. This invention, through a dual-channel parallel processing architecture and a spatiotemporal behavior analysis model, achieves collaborative perception of multi-dimensional motion features and accurate capture of the imbalance process of fall precursors, improving the timeliness of fall warnings.

The invention provides a high-voltage power supply control system and method based on an FPGA, and relates to the technical field of high-voltage power supplies, and the system comprises a core control module which takes an SoC type FPGA chip integrated with a PS end and a PL end as a control core; the signal acquisition module synchronously acquires analog monitoring signals of an external high-voltage power supply and converts the analog monitoring signals into multiple paths of digital signals; the control signal output module outputs an adjusting signal; the PL end realizes synchronous processing of multiple paths of digital signals through a hardware parallel processing architecture, and directly generates synchronous driving instructions for a plurality of external high-voltage power supplies based on real-time closed-loop control logic; the PS end runs an operating system, processes the advanced control instruction and sets control parameters for the PL end; a real-time protection function is integrated at the PL end, and when the transient fault is judged to occur, the control signal output module is directly controlled to execute a protection action by bypassing the PS end, so that synchronous adjustment and transient fault protection of the multi-path high-voltage power supply are realized, and high reliability and high flexibility are realized.

This invention belongs to the field of digital control systems for power electronic devices. It provides a high-speed communication system and method for multiple units of CHB frequency converter based on FPGA ping-pong buffer. By building an efficient parallel processing architecture at the FPGA hardware level, it realizes zero-wait instruction issuance and instantaneous status acquisition between the controller and dozens of distributed power units, compressing the system communication and processing time from milliseconds to hundreds of microseconds, achieving the technical effect of CHB frequency converters achieving extremely short control cycles and high dynamic performance.

The invention discloses an electronic equipment falling protection system based on multi-dimensional sensing. The system comprises a multi-dimensional sensing array, an edge calculation unit, a self-adaptive magnetic field control system and a continuous learning unit, the multi-dimensional sensor array is integrated with a triaxial accelerometer, a gyroscope, a barometer and a magnetometer, and the edge calculation unit adopts a low-power-consumption FPGA and a customized neural network processor to execute a time sequence feature extraction and trajectory prediction algorithm. According to the invention, the problem of insufficient identification precision of a traditional single sensor method under insufficient illumination or complex scenes is overcome; a 5kHz high-frequency sampling rate is adopted, and a multi-stage assembly line parallel processing architecture is combined, so that efficient extraction and trajectory prediction of time sequence characteristics are realized, and the response speed of the system is greatly improved; according to the method, the system power consumption is effectively reduced, and meanwhile, the real-time performance and accuracy of the model are ensured; the multiple electronic devices are controlled to cooperatively generate the dynamic magnetic field network, accurate magnetic suspension track control is provided for the falling device, and the device damage risk is effectively reduced.

The invention discloses a high dynamic range radar signal acquisition system and method, and relates to the technical field of radars. The system comprises an intensity detection unit, a multi-channel acquisition unit, a channel selection unit and a signal processing unit, the signal processing unit adopts a unique parallel processing architecture: real-time feature extraction is performed on the synchronized data stream on a first processing path to generate a window function selection instruction, meanwhile, accurate delay is performed on the data stream on a second processing path, and the delay time is matched with the instruction generation time; therefore, the time alignment of the instruction and the data stream is realized. Then, the system determines a target window function according to the instruction, and performs windowing operation on the delayed data stream. According to the method, dual self-adaption of the channel and the window function is achieved, it is ensured that signals in the full dynamic range from strong to weak can be optimally processed, and the signal collection quality and the radar detection performance are remarkably improved.

The invention provides a small-view-field temperature-sensitive interferometer antenna real-time calibration method under a multi-node parallel processing architecture, and aims at a small-view-field temperature-sensitive interferometer antenna, and a non-cooperative radiation source signal with a known position is utilized to carry out real-time calibration on the small-view-field temperature-sensitive interferometer antenna. According to the invention, a single phase difference correction mode is adopted to compensate a phase difference error value in a full-view-field range in a certain frequency band under a certain center frequency point of the small-view-field temperature-sensitive interferometer antenna, and the improvement efficiency is extremely high; a time-sharing calibration meter, a real-time calibration meter and a historical calibration meter are provided to adapt to the characteristics that the phase difference of the small-view-field temperature-sensitive interferometer antenna has short-period rapid change at different moments in one day and long-period slow change all year round; a real-time calibration table sharing mechanism is designed, and the problem of calibration parameter sharing under a multi-node parallel processing architecture is solved; a time-sharing calibration table updating mechanism with a fixed size is designed, and the problems of lightweight design of a correction number library table and loading time consumption under a real-time processing condition are solved.

The application relates to a low-orbit satellite orbit determination method, device and medium based on a multi-thread parallel processing architecture, and belongs to the technical field of satellite orbit determination. The method comprises the following steps: adopting a multi-thread parallel architecture to modularly decouple a satellite orbit determination business process, splitting the satellite orbit determination business process into three types of independent threads, i.e., a positioning thread, an orbit integration thread and an orbit prediction thread, and configuring the three types of threads in turn from high to low in priority: the positioning thread has the highest priority, the orbit prediction thread is in the middle, and the orbit integration thread has the lowest priority; meanwhile, relying on a hierarchical priority scheduling mechanism, GNSS observation data is preferentially guaranteed to be processed in real time in the positioning thread, and the latest effective orbit determination basic observation information is continuously output; the second priority is guaranteed to enable the orbit prediction thread to quickly respond to user requests and data retrieval requirements of an inter-satellite link; and finally, the kinetic integration with a large amount of calculation is processed, so that the real-time performance and business continuity of the orbit determination are effectively improved.

The application discloses a kind of self-adapting focusing microscope equipment, adopt the data processor of ZYNQ heterogeneous multi-core architecture, and realize automatic focusing by step S1 to step S5, based on the parallel processing architecture of PL unit, namely FPGA, image convolution operation of multiple images can be executed in parallel in step S3, will not affect the line-by-line scanning process of microimage in step S1 is executed synchronously, so that while completing microimage scanning in step S1, step S3 has completed the most part of calculation of image definition evaluation function, when microimage scanning is completed, image definition evaluation function can calculate the definition evaluation value of microimage in very short time;Therefore, the application uses camera+ZYNQ heterogeneous multi-core architecture to replace the serial execution architecture of industrial camera+host computer in the prior art, only needs the scanning time of microimage+very short time to obtain definition evaluation value, greatly shorten the time of obtaining definition evaluation value, improve focusing speed.

The purpose of this disclosure is to provide a computer system based on a quantitative pain model, comprising: a preprocessing module, a local temporal feature extraction module, a cross-domain global frequency domain feature extraction module, a cross-domain interactive fusion module, a feature fusion module, and a classification output module. Through a dual-parallel processing architecture of local temporal and cross-domain global pathways, multi-scale convolution and sliding window temporal modeling are used to accurately capture transient and evolutionary temporal features related to pain. Then, through wavelet transform and attention mechanisms, frequency domain oscillation energy closely related to the physiological mechanisms of pain is explicitly extracted. Finally, a cross-domain interactive encoder is used for deep fusion, achieving complementarity and enhancement of temporal and frequency domain features. This disclosure effectively controls the computational scale while maintaining high-precision classification, making it easier to deploy lightweight and perform real-time inference on embedded devices or mobile medical terminals, demonstrating significant practical value.

In order to solve the key problems of the existing aircraft ground sliding trajectory prediction method, such as multi-source information fusion difficulty, space topology modeling deficiency and long-term prediction accuracy decay, the history trajectory encoder and the pavement path encoder parallel processing architecture are designed, the long short-term memory network is used to extract the trajectory time sequence characteristics, the graph attention network is used to model the space topology relationship of the control path, and the heterogeneous information is effectively integrated through the feature fusion layer; The multi-component loss function is proposed to fuse position, speed and acceleration, and the continuity and smoothness of the predicted trajectory are constrained; The lightweight data enhancement strategy and the adaptive residual connection mechanism are designed to improve the model generalization ability and relieve the long-term prediction error accumulation. The method can effectively fuse multi-source trajectory information, and significantly improve the accuracy and stability of the aircraft ground sliding trajectory prediction.

The application discloses an AST-aware hybrid block processing system for RAG system and belongs to the technical field of natural language processing.The application comprises the following steps: parsing a Markdown document and constructing an abstract syntax tree; performing one-time segmentation according to the title level of the abstract syntax tree node type, performing secondary segmentation when the text block length exceeds a threshold value, and setting an overlapping area; cleaning the content of the text block; parsing YAML Frontmatter metadata and traceability information in the header of the Markdown document; connecting with an external server through an end-to-end cloud pipeline; and realizing multi-process parallel and streaming processing through a parallel processing architecture.The application can realize end-to-end automation and high-performance parallel processing under the premise of ensuring block accuracy and semantic integrity.

The invention belongs to the technical field of smart home and health monitoring, and discloses a safety regulation and control system and method for intelligent temperature control equipment. The system comprises a sensing layer, security middleware, a decision-making layer and an execution layer, the sensing layer completes information acquisition, processing and reporting in parallel, the security middleware serves as a unified data bus and a communication hub for connecting the sensing layer, the decision-making layer and the execution layer, and the decision-making layer adopts a parallel processing architecture of hardware isolation to generate a final output instruction; and the execution layer executes a control strategy corresponding to the security risk assessment level. Through modularized software and hardware design, core functions such as safety monitoring, temperature control and user interaction are decoupled, a multi-level and software and hardware collaborative safety protection system is constructed, intelligent balance between a safety mechanism and user experience can be achieved, the requirements for complex safety regulation and control logic and stable operation are met, and the safety protection system is suitable for being popularized and applied. And the sustainable expansion possibility is provided for the system.

The invention discloses a data processing method and system, a medium and equipment, and aims to solve the problems of packet loss and software lagging easily caused by multi-data-source and high-real-time data flow in a rocket test by constructing a multi-thread parallel processing architecture. The method specifically comprises the following steps: receiving data from a plurality of data sources through a plurality of independent data receiving threads, and carrying out preliminary analysis on the received data by the data receiving threads according to a frame format protocol to obtain frame data; performing secondary analysis on the frame data according to a communication protocol through a plurality of independent data analysis threads to obtain message data; message data is processed by a plurality of independent data consumption threads, the data consumption threads configured to perform data display and / or data storage operations. According to the invention, complete parallelism of data receiving, analysis and display / storage processes is realized, blocking interference among data processing links is effectively avoided, and data processing efficiency and system reliability are improved.

The application relates to an efficient DAG construction, traversal and export method and device for distributed storage, which adopts a streaming and layered parallel processing architecture. For multiple sub-trees of the same level in the DAG, the internal construction processes of the sub-trees are independent of each other. The DAG construction does not need to wait for all leaf nodes to be generated before the upper layer construction, but can adopt a mode of 'generating and processing in parallel'. Once the nodes at the bottom accumulate to a number sufficient to constitute a parent node, a task is started to construct the parent node, and the parent node is pushed to a processing queue at a higher layer. The method breaks the inherent serial dependence to adapt to the application requirements of high throughput and low delay, thereby significantly improving the experience of users when uploading and downloading files.

The invention discloses a method and a device for generating and receiving a distributed coherent waveform with variable code element rates, relates to signal processing and distributed coherent technologies, and adopts a waveform synchronization segment and a data segment, and is realized based on a multi-path parallel processing architecture, so that signals of the waveform synchronization segment and the data segment with different code element rates work in the same clock domain; wherein in the waveform synchronization section, a first signal sequence at a first code element rate is adopted, multi-path parallel interpolation is performed after modulation, framing with the data section is waited, and the first code element rate is far greater than a second code element rate of the data section; and the data segment is modulated based on the original data with the second code element rate, then is subjected to multi-time interpolation and multi-phase compensation filtering, and is subjected to digital up-conversion in parallel so as to be framed with the waveform synchronization segment. According to the method, the communication waveforms of the high code element rate synchronization segment and the low code element rate data segment are designed, the requirement for distributed coherent high-precision time synchronization is met, data segment signals are more easily aggregated and enhanced, and the long-distance and anti-interference transmission capacity of the waveforms is improved.

A security system and method implements proactive defense through host operating system isolation and virtualization. The security system and method include a host computer running a host operating system and multiple hosted virtual machines that serve as intermediate connections to isolate the host operating system from external networks. The virtual machines systematically back up data to cloud services having indirect connections to the host computer. An internal virtual private network interconnects the virtual machines, with a designated virtual machine serving as a network gateway to manage traffic flow. A secure controller within the host computer functions as a bridge between user applications and the host operating system, enforcing security protocols and managing core operations to ensure system integrity. The secure controller manages interactions between the virtual machines and cloud services, providing security measures while maintaining operational efficiency through parallel processing architecture.

The invention discloses a broadband parallel information processing device and a broadband parallel information processing method for high-dimensional photon multiplexing driving, which are characterized in that three key parallel processing processes of frequency comb generation, time domain discretization and speed reduction decomposition are degenerated by utilizing joint multiplexing of M different wavelengths and N different modes; uniform multiplexing and in-phase driving in the same optical path are realized, receiving and processing of M * N paths of different analog signals are cooperatively completed, and orthogonality of each dimension is kept for subsequent reversible decoupling while amplitude-phase consistency and high synchronization among channels are ensured; an optical domain parallel processing architecture is utilized, time domain parallel decomposition is directly carried out on broadband signals in an analog optical domain, a single-path high-speed data stream is decomposed into 2K paths of parallel low-speed sub-channels, and the data volume and rate of each path are reduced to 1 / 2K of the original data volume and rate. According to the invention, a high-speed data transmission interface and a large-capacity storage unit required by traditional parallel computing are avoided, and the method is an effective scheme for realizing high-performance array broadband multi-dimensional signal receiving and processing in the future.

The application discloses a signal processing method of power carrier communication based on OFDM modulation, relates to the technical field of power carrier communication, and comprises the following steps: S1, cyclic prefix and guard interval design and insertion; S2, improved synchronization algorithm for frequency offset processing; S3, noise suppression optimization of a front-end signal processing module; S4, parallel processing architecture design and task allocation; S5, channel estimation at a receiving end; S6, frequency domain equalization processing; S7, OFDM demodulation processing; and S8, symbol synchronization and data recovery. Through the steps S1 and S2, the effects of effectively resisting power line channel multipath delay, reducing inter-symbol interference and inter-carrier interference are achieved. Through the steps S3, S5 and S6, the effects of accurately identifying power line impulse noise and Gaussian noise characteristics and dynamically suppressing noise are achieved. Through the steps S4 and S8, the effects of improving signal processing efficiency by using a parallel processing architecture and avoiding processor overload are achieved, and meanwhile, the data error correction capability is enhanced by convolution coding or Turbo coding, so that the real-time performance and reliability of high-speed data transmission are ensured.

The application provides a kind of heterogeneous platform radar control and signal processing device and radar system, it is related to radar system technical field, the device includes: control and processing unit, including ZYNQ, FPGA and DSP three heterogeneous processors;ZYNQ processor includes PS end and PL end, PS end runs main control software, for whole machine state control, resource scheduling, instruction forwarding and echo data processing and forwarding;PL end is configured to realize timing, wave control, signal generation and data interface driving function;FPGA processor is configured to realize signal acquisition, digital down-conversion filtering, digital beam forming, pulse compression, coherent accumulation and moving target detection function;DSP processor is configured to realize constant false alarm detection function, and segmented processing is carried out to the data of different distance sections using multi-core parallel processing architecture;Signal interface unit is used to realize the signal and data interaction between overall device and external radar subsystem. The application realizes the high integration of radar system while improving signal transmission, processing performance.

This invention relates to the field of industrial automation inspection technology, and discloses a method for detecting the particle size of materials on a belt conveyor based on an optimized watershed algorithm. The method includes: acquiring real-time image data of the material and operating condition data of the conveyor belt speed; integrating the operating condition data and feedback data by an algorithm steady-state engine to generate control commands including algorithm path selection and parameter configuration; performing feedforward correction and adaptive preprocessing on the image according to the control commands; then performing segmentation in a dual-channel parallel processing architecture, wherein the main processing channel performs segmentation of the complete image using a specified algorithm path to generate segmentation results, and the verification channel performs segmentation of representative regions using different algorithm paths to generate internal verification signals; finally, calculating the particle size based on the segmentation results and generating feedback data to update the strategy model of the algorithm steady-state engine online. This invention solves the problems of poor adaptability to operating conditions and unstable detection accuracy of traditional methods by constructing a closed-loop self-learning system.

This invention introduces a parallel matrix multiplication algorithm achieving O(n²) time complexity through: 1. Binary Fusion Technique: Multi-layer bitwise data representation. Vectorized counting-logical operations (AND + popcount). Kronecker-based weighted reconstruction. 2. Key Advantages: Eliminates floating-point rounding errors. Reduces memory bandwidth requirements. Hardware-agnostic design (GPU / FPGA / ASIC compatible). 3. Applications: Machine learning acceleration. Cryptographic systems optimization. Large-scale scientific computing. The algorithm transforms numerical operations into parallel bitwise processes while maintaining full precision. Compared to conventional methods (e.g. Strassen), it demonstrates superior scalability for large matrices without recursive decomposition.

The invention relates to the technical field of edge computing, electric power intelligent monitoring and computer vision, and discloses an electric power monitoring-oriented YOLOv8 edge deployment and multi-thread collaborative optimization method, which comprises the following steps of: constructing a heterogeneous parallel processing architecture based on edge computing equipment, decoupling a video stream processing flow by utilizing a multi-stage buffer queue, and carrying out multi-thread collaborative optimization on the video stream processing flow. And reading decoding, preprocessing and model reasoning threads through cooperative operation of the central processing unit and the graphics processing unit. And based on the resource capacity model and a real-time performance monitoring mechanism, when the running state meets a preset triggering condition, starting a dynamic resource scheduling algorithm based on H-PSO, and iteratively searching a global optimal position containing the number of model reasoning threads and the capacity of a buffer queue. Task migration and load balancing operation is executed based on the global optimal position, the number of reasoning resource pool threads is dynamically adjusted, and the queue storage space is redistributed. According to the invention, low delay, high throughput and efficient utilization of heterogeneous resources in a multi-channel video stream concurrent scene are realized.

The invention provides an image generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a role reference image corresponding to each role for N roles in a story text; for each role reference image, processing the role reference image by adopting an independent processing channel so as to extract a first feature and a second feature of the role; using the first feature and the second feature to obtain an enhanced feature of the role; according to the enhanced features of the roles, independent cross attention calculation is carried out on the N roles, and the attention feature of each role is obtained; according to the attention feature of each role and the text feature in the story text corresponding to the role, performing fusion according to a preset weight to obtain a fused conditional feature; and generating an image containing each role by using the conditional features. And through a multi-path parallel processing architecture, the roles are ensured to maintain respective visual identities.

This utility model relates to the field of decorative material coating processing, and proposes a multi-line parallel processing architecture for a wood strip coating machine. The wood strip coating machine includes a feeding mechanism, a conveying mechanism, and a coating mechanism. The conveying mechanism is connected to the feeding mechanism; the coating mechanism is connected to the conveying mechanism; one or more sets of the feeding mechanism, conveying mechanism, and coating mechanism are provided; one or more sets of the multi-line parallel processing architecture are installed on each set of the feeding mechanism, conveying mechanism, and coating mechanism. This utility model realizes synchronous operation of multiple production lines through the multi-line parallel processing architecture, breaking through the capacity ceiling of traditional single-station serial processing; by dynamically balancing the matching relationship between material coating amount and mechanical feed rate, an exponential increase in output per unit time is achieved without changing the single-line processing speed.