288 results about "Modular architecture" patented technology

An AI-powered content generation system that creates consistent, coherent, and engaging multi-modal content by integrating multiple specialized AI components. The system analyzes user input, identifies key elements, and maintains continuity throughout the generation process. It incorporates a feedback loop to learn and adapt based on user preferences, enabling personalized content experiences. The modular architecture allows for seamless integration of AI components focusing on text, images, audio, and interactive elements. The system ensures consistency across modalities and over extended periods, while managing rights, licenses, and royalties using blockchain technology. This advanced platform revolutionizes content creation, consumption, and management in the digital age.

Modular Rydberg architectures for fault tolerant quantum computing are provided. A first array and a second array of neutral atoms are provided. Each neutral atom has a first state and an excited Rydberg state. Each neutral atom is arranged to impose a Rydberg blockade on at least its nearest neighbors in its array when in the excited Rydberg state, thereby implementing a plurality of physical qubits. Each array comprises data qubits, and syndrome qubits. The syndrome qubits are configured to implement a quantum error correcting code with respect to the data qubits. Each array includes a subarray of communication qubits having a lower dimensionality than the array. Each communication qubit of the first subarray forms a Bell pair with one communication qubit of the second subarray. The first and second arrays of neutral atoms are configured to interact with each other only via the communication qubits.

The invention relates to an unmanned end-to-end sensing method and system for an unstructured road scene, and belongs to the technical field of automatic driving. A point cloud supervision view angle conversion method is adopted, point cloud densification is realized by constructing a local subgraph, and multi-view angle depth estimation is optimized in combination with an optical flow consistency constraint; according to the method, long and short focus image features are fused through a cross attention mechanism, camera internal reference information is embedded, image BEV features are enhanced, and the long-distance perception capability is improved; according to the method, dynamic interference such as flying dust is effectively recognized and filtered through a space-time attention mechanism, a unified deep learning framework is adopted, the problems of information loss and error accumulation in a traditional modular framework are avoided, and unstructured scene perception is effectively improved. The problems of long-distance sensing, blocking of dust raising and the like, inaccurate space conversion and the like in an unstructured road scene are solved.

A system and method are provided for dynamically generating interactive multimedia storytelling experiences using integrated artificial intelligence models. The system comprises a generative language model for producing narrative content in response to user input, a generative video synthesis module for visualizing story segments, and a generative audio synthesis module for producing synchronized speech, effects, and music. In alternative embodiments, a single multimodal generative model may perform both video and audio synthesis. A user interaction module accepts free-form input to evolve the story in real time, and a content generation coordinator manages orchestration, timing, and latency optimization between components. The system supports modular architecture, lip synchronization with character visuals, predictive pre-generation to reduce delay, personalization based on user profiles, and deployment across various platforms including desktop, mobile, and extended reality environments. The invention enables open-ended, user-driven narrative generation with seamless and adaptive audiovisual synthesis.

The invention relates to the technical field of semiconductor manufacturing, and discloses an integrated vacuum system test method of a mechanical arm and a vacuum test platform. A vacuum test platform which is provided with a two-stage vacuum system and a multi-channel proportional valve and is designed in a modular architecture mode is adopted for sequentially carrying out pre-installation calibration, vacuum environment simulation, positioning precision testing, vacuum adaptability testing and durability testing. The vacuum test platform is provided with a fine tuning clamping groove which is matched with the altimeter to ensure that the mounting position of the mechanical arm to be tested is accurate and the actual condition of the photoetching machine is reetched; a plurality of general standardized interfaces are also arranged, so that quick switching of to-be-tested mechanical arms of different models is realized; in the analysis stage, the three test results are analyzed, whether the performance of the mechanical arm to be tested reaches the standard or not is evaluated, the capability of integrally testing indexes such as positioning precision, vacuum adaptability and durability is achieved, external pre-debugging of the mechanical arm under the working environment of the simulated photoetching machine is achieved, and the debugging efficiency and precision are improved.

Multi-stage hybrid network integrates relationship regularization links and explainable elements to improve alignment with human values, explainability, robustness, and efficiency. The network comprises neural components, event prediction elements, and probability models across multiple stages, with relationship constraints enforcing structured knowledge representation. Explainable elements provide interpretable rationales for decisions, enhancing transparency. Training incorporates supervised learning, human-guided refinement, semi-automated knowledge engineering, and adversarial robustness techniques. A Socratic reasoning module detects contradictions and refines outputs for logical consistency. Indexed model elements enable dynamic memory optimization for improved efficiency. Candidate outputs may be scored, verified, or selected using neural and symbolic criteria. The invention supports retry loops and configurable subsystem pipelines to improve output quality. Applications include text generation, speech recognition, translation, and decision support. By combining structured constraints, human oversight, and modular architectures, the system improves the trustworthiness, safety, and adaptability of AI systems across diverse modalities and tasks.

The invention relates to the technical field of low-altitude prevention and control, in particular to a low-altitude target detection identification and countering prevention and control system which comprises an operation and maintenance management platform, a multi-source data fusion unit, an intelligent noise reduction preprocessing unit, a general command platform, a dynamic threat evaluation unit and a cross-domain collaborative interface module. The detection and recognition precision and efficiency are improved through intelligent noise reduction and multi-source data fusion, intelligent collaborative countering is achieved through an intelligent decision center and a full-link countering unit, global situation awareness is enhanced through cross-domain data collaboration, operation and maintenance management and system stability are optimized by means of a prediction maintenance module and a modular architecture, and the detection and recognition efficiency is improved. The system can make up for the shortages of domestic existing systems, guarantees the airspace safety of key scenes, and reduces the long-term operation cost.

A modular utility system integrates clean power generation, thermal management, and security monitoring within a standardized shipping container format. The system comprises a generator set (70 kW-600 kW) configured for operation with multiple fuel sources including natural gas, propane, methane, or hydrogen, coupled to a water-fired absorption chiller utilizing waste heat recovery. A closed-circuit evaporative cooler enhances thermal efficiency without chemical additives. The system incorporates a 360-degree security camera and remote monitoring capabilities for tracking operational parameters. A power distribution panel (460V, 3-phase) supports both building power supply and electric vehicle charging stations. The modular architecture enables scalable deployment through dual-module configurations, with separate power generation and thermal management units. The system provides sustainable, off-grid power generation while maximizing energy efficiency through integrated waste heat utilization and advanced thermal management protocols.

The invention discloses a dynamic error correction system and method for an OTP (One Time Programmable) memory, a computer and a storage medium, and the system comprises a cross-clock synchronization module which is used for synchronizing asynchronous data of an OTP interface to a system clock domain and generating a control signal according to a data format; the double-buffer-area module is used for alternately writing data and reading a control signal by utilizing two independent buffer areas, and correcting and outputting the written data; the CRC decoder module is used for carrying out error detection on the synchronous data; the error position searching module is used for positioning an error position candidate item of each channel; the error position matching module is used for finding out a uniquely matched error position; and the read control module is used for judging whether data reading needs to be paused or not and starting error correction operation, and sending a control signal to the double-buffer module. According to the invention, a modular architecture design is taken as a core, and a complete processing flow from data receiving, error detection, error positioning to error correction output is constructed.

The invention discloses an electric connector detection system and method based on vision, and belongs to the field of machine vision and industrial detection, and the system comprises a large constant water star series industrial camera, a multi-angle and high-uniformity adjustable light source system, a product feeding moving and packaging mechanism, a computer control system and UI software. Wherein the computer control system adopts multi-thread scheduling, a modular architecture and a sub-pixel-level algorithm, and supports high-throughput processing of 3-6 4024 * 3036 pixel industrial cameras, an image acquisition module of the computer control system can uniformly manage multiple models of cameras, and a UI (User Interface) is a drag-and-drop interface and integrates debugging tools such as OpenGL (Open Graphics Library) and parameter hot loading; the method comprises the steps of hardware configuration, trigger starting, image acquisition, positioning correction, ROI drawing, detection, reference line determination, size measurement and sorting control, ROI drawing can adapt to regular and irregularly arranged pins, the adaptability is high, the precision is high, operation is convenient and fast, full-process automatic detection can be achieved, and the requirement of a high-speed production line is met.

The invention relates to the technical field of voice recognition and natural language processing, in particular to a vehicle type robot voice navigation control system and a control method thereof.The method takes voice as a man-machine interaction entrance and comprises the following steps that S1, environment audio is continuously monitored and preprocessed, including noise reduction, reverberation removal, pre-emphasis and framing windowing; when a preset wake-up word is detected, sending a wake-up signal to a main control unit through a serial port, and entering a command identification window with a fixed duration; s2, in the command recognition window, performing automatic voice recognition and natural language processing on the input voice, analyzing user intentions and key entities, and classifying analysis results into a mapping instruction, a motion control instruction or a navigation instruction; according to the invention, an integrated system with off-line voice as an entrance, a modular architecture as a core and closed-loop control and multi-mode feedback as guarantee is constructed, so that the limitation of the prior art is effectively overcome.

The invention provides a multi-format document analysis and verification method and system and a program product, and relates to the technical field of document processing and intelligent verification. The method adopts a layered modular architecture, and comprises the following steps: a document analysis layer selects an analysis strategy according to document types and complexity, and uniformly converts various formats of documents such as PDF, Word, Excel and the like into a Markdown intermediate format; the index extraction layer uses an abstract base class and a dynamic Prompt optimization mechanism to extract structured data from an intermediate document and integrate the structured data into a unified JSON format to realize complete decoupling of data extraction and rule verification; and the rule verification layer dynamically loads a business rule by scanning an independent file, constructs a rule-dependent directed acyclic graph, and determines an execution sequence by utilizing topological sorting. According to the method, the problems of high data and rule coupling degree, high maintenance cost and poor expansibility in an existing system are effectively solved, hot plugging of the rules, dependency on automatic management and multi-document concurrent processing are realized, and the reusability and execution efficiency of the system are remarkably improved.

The invention relates to the technical field of nuclear thermal coupling, in particular to a general multi-physical coupling method, device and equipment for a nuclear reactor and a computer storage medium. According to the method, Monte Carlo transport software, a computing environment of a thermotechnical solver and a preCICE communication interface are initialized through a predefined configuration file, Monte Carlo transport calculation is directly completed according to an initial material in first iteration, body power density data are obtained, and the body power density data are transmitted to the thermotechnical solver through preCICE to serve as a heat source to be mapped to a finite element grid. Further obtaining an updated temperature and density field and feeding back the updated temperature and density field to Monte Carlo transportation software; and controlling an iteration process through a convergence criterion until the requirement is met. According to the method, full-process automation and memory-level data exchange in the multi-physical coupling process are achieved, the calculation efficiency and precision are remarkably improved, manual intervention and file read-write bottlenecks are eliminated, and meanwhile, the strong adaptability and good expansibility of the method to different geometric models and physical solvers are guaranteed by relying on the universal interface design and modular architecture of preCICE.

The invention discloses a modular multi-fuel industrial burner plasma igniter with an efficient cooling structure. The modular multi-fuel industrial burner plasma igniter comprises an ignition module, an efficient cooling module, a fuel adaptation module and an intelligent control module. A plasma arc generator is arranged in the ignition module and is used for generating a high-temperature ignition source; the efficient cooling module adopts a multi-layer surrounding type flow channel design, and active heat management of the ignition module is achieved through forced circulation of a cooling medium; the fuel adaptation module supports rapid switching and stable supply of various fuels such as natural gas, fuel oil and biomass gas through standardized interfaces and pipelines; the intelligent control module integrates ignition control, fuel switching and thermal management strategies, monitors the system state in real time and automatically adjusts operation parameters. By means of the modular architecture and the efficient cooling technology, the problems that a traditional plasma igniter is prone to overheating damage, poor in adaptability and difficult to maintain under the high-temperature and multi-fuel working conditions are solved.

The invention relates to the technical field of risk assessment, and discloses a small watershed disaster risk assessment system and method based on artificial intelligence, and the method comprises the following steps: synchronously obtaining real-time monitoring data such as rainfall, water level, soil moisture content and the like, associating equipment position information, verifying the water level change and rainfall-runoff relationship based on the fluid mechanics principle, and determining the risk of the small watershed disaster risk. Packaging and transmitting after abnormal values are filtered, integrating distributed node data, predicting the risk probability of disasters such as mountain torrents and landslides by using a lightweight model, aggregating edge node model parameters through federated learning, detecting and predicting reduction in precision in real time, triggering early warning, aggregating degradation signals, and quickly adjusting the model parameters by using physical constraint element learning. According to the invention, through an end-edge-cloud collaborative architecture and a physical constraint meta-learning mechanism, the real-time performance and accuracy of small watershed disaster risk assessment are improved, a modular architecture has lightweight deployment and cross-watershed expansion capabilities, and decision support of continuous evolution is provided for intelligent water conservancy projects.

The invention relates to the technical field of pulse neural network computing hardware, in particular to a neural network computing circuit of a pulse self-attention mechanism. According to the method, invalid or inefficient pulse events are dynamically screened through the hardware mask module, the operation number is remarkably reduced, and calculation path delay and logic resource occupation are reduced; meanwhile, in order to adapt to novel networks with binary architecture such as QKFormer, calculation and storage of a V matrix are eliminated, and storage resources and calculation resources are further reduced; in addition, the event coding module only generates active neuron events, and input sparsity is achieved. A configurable IF neuron model is adopted, exponential operation is avoided, hardware implementation is facilitated, and the method is suitable for binary network deployment. The modular architecture can support function extension, assembly line and parallel work; and the parallelism degree of the design can be determined according to the actual data pulse distribution rate. Event driving and mask pruning are combined, so that the overall computing resources of the circuit are greatly reduced, and the power consumption is reduced.

The invention discloses a storage and calculation integrated array convolution acceleration device and method based on sparse coding, and belongs to the field of artificial intelligence chip design and digital signal processing. The device comprises an unpacking module, a packing module, a calculation reasoning module, a weight configuration module and a state control module. The unpacking module checks and decodes the received data packet, and distributes control information and data content to the weight configuration module or the calculation reasoning module; in a weight configuration mode, the weight configuration module converts an unpacking result into a parallel format, and controls the storage and calculation integrated array to be written into a sparse convolution kernel; in a reasoning mode, the calculation reasoning module decodes sparse excitation and drives the photoelectric storage and calculation integrated unit array to perform convolution calculation, and outputs a calculation result to the packaging module; and the packaging module packages the calculation result and the checksum packet header information and outputs the packaged calculation result and checksum packet header information to the outside. Through combination of a modular architecture and a sparse coding mode, the calculation efficiency is improved, and the input data volume is reduced at the same time.

The application relates to a multifunctional controller based on an SPI bus, which comprises a core control module for packaging an SPI communication protocol frame and a register read-write instruction based on a Linux kernel subsystem; a device class registration module for registering a special device class to manage corresponding special functions through the device class registration module; a first docking module for docking standard functions with the Linux kernel subsystem to drive the standard functions based on an SPI interface and the register read-write instruction; and a second docking module for abstracting non-standard functions into virtual SPI devices and docking the virtual SPI devices with an application layer. Through an innovative modular architecture and a unified management mechanism, the application effectively solves technical problems such as complex development of a multifunctional controller driver, lack of out-of-band management, difficulty in application layer development, and chaotic driver management, and provides an efficient, flexible and easily-extended solution for the development and management of multifunctional SPI peripherals.

The invention relates to the technical field of unmanned aerial vehicle control and management systems, in particular to an unmanned aerial vehicle parameter management method based on template management, and the method comprises the steps: building multi-device concurrent connection with an unmanned aerial vehicle flight control system through a communication abstraction layer, integrating a protocol adaptation module, a port automatic detection engine and a multi-device connection pool, and achieving a unified device access interface; parameters are structured and managed through the core processing module, a dynamic parameter tree, a batch operation engine and a template management system are constructed, verification operation is monitored through the safety control module, and an auditing system, a version control engine and a parameter verification module are integrated. According to the invention, by constructing a modular architecture of a communication abstraction layer, a core processing layer and a security control layer, adopting a dynamic parameter tree, a difference comparison algorithm and a template management system, and combining an operation auditing and atomic transaction writing technology, low resource occupation and high-concurrency batch operation are realized, the production line efficiency is improved, and the production cost is reduced. And parameter consistency, safety and traceability are guaranteed.

The invention discloses an intelligent liquid supply control system based on a programmable logic controller, which relates to the technical field of industrial automation control and comprises the programmable logic controller, a multi-sensor module, an actuating mechanism module, a man-machine interaction module and a communication module. According to the intelligent liquid supply control system, through multi-sensor fusion and a self-adaptive algorithm, the control precision of solution concentration and temperature is remarkably improved, the concentration control precision reaches + / -1%, the temperature fluctuation range is reduced to + / -5 DEG C, the requirement of a high-precision industrial scene is met, and by means of the application of the main and standby pump set dynamic switching and fault prediction technology, the control precision is greatly improved. The fault response time is greatly shortened to be within 0.5 second, the reliability and the response speed of the system are effectively improved, and due to the modular architecture and the standardized communication protocol of the system, newly-added equipment can be plug-and-play, the expansion and transformation period is greatly shortened, and the maintenance cost is reduced.

The invention provides a gesture control system and an interaction method for a sterile operation. The gesture control system comprises a visualization module and an interaction module, the visualization module is composed of a personal computer provided with visualization software and a display screen and used for loading and displaying the three-dimensional image model of the patient; and the hardware of the interaction module is an Ultra < 3 > Di three-dimensional hand tracking camera, and the interaction module is connected to the personal computer and is used for capturing hand actions. The system is not only suitable for surgical operations, but also can be used for classroom education of medical students, and helps the medical students to more intuitively understand the anatomical structures of organs. Meanwhile, due to the modular architecture and expandability of the system, a wide space is provided for future scientific research and development and technology upgrading, and the refined and intelligent progress of surgical operations can be promoted.

The present invention relates to a modular architecture for transmitting and / or receiving radio frequency (RF) signals using a phased antenna array. A first portion of the RF signal is transmitted / received by a master IC (21) and a second portion of the RF signal is transmitted / received by a plurality of satellite ICs (22). RF distribution between the master IC (21) and the satellite ICs (22) occur over a low-RF-loss interposer (51). The master IC (21) performs upconversion / downconversion between RF signal and a baseband or intermediate frequency signal.

This invention relates to the field of automated warehousing technology and discloses an automated storage and retrieval system (AS / RS) based on a heavy-duty stacking robot. A material storage area is located on one side of the material entry / exit area, and a preparation and charging area is located on the other side. An import / export docking area is located inside the material entry / exit area, and a lifting and transferring machine is also included within the import / export docking area. An automated storage and retrieval system with a three-dimensional racking mechanism is located inside the material storage area. This AS / RS based on a heavy-duty stacking robot, through its modular architecture and intelligent collaborative design, effectively solves the problems of low space utilization, high cost, and poor flexibility in traditional AS / RS. It achieves precise and efficient handling of heavy-duty goods, eliminates the need for dedicated tracks, reduces modification costs, and significantly improves the overall automation level, space utilization, and operational stability of warehousing operations. It caters to both new construction and renovation needs, providing enterprises with a low-cost, highly adaptable heavy-duty warehousing solution.

1. Name of this design product: Building Block Architecture (Hui-style Archway). 2. Purpose of this design: For use in building block toys. 3. The key design features of this product are its overall shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a high-frequency chopping voltage regulation type modularized direct-current ice melting device, belongs to the technical field of direct-current ice melting of a power system, and realizes millisecond-level continuous regulation of direct-current voltage 0-rated output voltage and precise and controllable output current 0-rated output current through a three-level BUCK circuit. The device is composed of a self-coupling 12-pulse rectifier transformer, a high-frequency rectifier unit, a miniature meteorological station, a wireless communication unit and a control unit. The modular architecture design supports independent use of one module (12 pulse wave rectification) or series-parallel use of two modules (24 pulse wave rectification), the output power is multiplied, and external filtering equipment is omitted. The miniature meteorological station and the wireless communication unit obtain real-time meteorological parameters, the control unit calculates the optimal ice melting current according to the environment temperature, the wind speed, the humidity, the air pressure and the line parameters, and energy is saved by more than or equal to 30%.

The application provides a kind of multi-rate adaptive compatible coherent demodulation method and device, belong to coherent demodulation technical field;The method comprises: the pre-treatment of coherent light signal;Adopt the double-stage mechanism of coarse identification and fine identification combination to automatically identify the rate and modulation format of signal, wherein fine identification utilizes lightweight CNN classifier;According to the recognition result, adaptively configure the core demodulation parameters such as sampling rate, equalizer order, operation bit width and carrier recovery algorithm;Through the unified configurable modular architecture, complete synchronization, equalization, carrier recovery and other demodulation processing;Soft decision is made to demodulated signal and real-time monitoring performance index;According to the monitoring result, closed-loop dynamic fine tuning is carried out on demodulation parameter;The application realizes the automatic identification and compatible demodulation of 100G / 200G / 400G and PM-QPSK / PM-16QAM signal, and is suitable for general coherent acquisition platform, intelligent optical network receiver and multi-rate optical communication tester.

A gas feedthrough for a chromatograph device includes a hub configured to receive a fluid sample and interface with a fluid receiver, the hub including a first surface; and a plurality of fluid channels including a fluid sample channel configured to carry the fluid sample, a vent channel configured to carry a vented fluid, and a carrier channel configured to carry a carrier fluid. Each of the plurality of fluid channels terminate at a respective interface point on the first surface. The respective interface points of the plurality of fluid channels are arranged on the first surface in at least one arc.

The invention discloses a refined deslagging and drainage system, and relates to the technical field of operation and maintenance of coal mine gas pipelines. The system comprises a multi-sensor fusion sensing module, a dynamic adaptive control module, a graded deslagging execution module, an anti-blocking self-cleaning module, a distributed fault self-diagnosis module and a modular extensible control framework. The multi-sensor fusion sensing module collects working condition data such as slag particle concentration and pressure in a pipeline, the dynamic self-adaption control module judges working conditions and blocking risks in a grading mode and outputs accurate instructions, and the grading type slag discharging execution module adapts to different working conditions through main and auxiliary pump grading operation and energy recovery. The anti-blocking self-cleaning module cooperates with forward and reverse rotation of a pump body to prevent blocking through high-pressure pulse washing, the distributed fault self-diagnosis module monitors and early warns faults in real time, and flexible expansion and system compatibility are achieved through a modular architecture. According to the system, accurate deslagging, anti-blocking, energy-saving and stable operation under the high-concentration slag-containing working condition are achieved, and the operation adaptability and the operation and maintenance convenience are improved.

The invention belongs to the technical field of boiler tail gas treatment and intelligent control, and particularly relates to a boiler tail residual gas separation device combined with a heat pump and a control system.The boiler tail residual gas separation device and the control system.The boiler tail residual gas separation device comprises the steps that firstly, multi-dimensional parameters of residual gas are collected, working condition characteristics are recognized in combination with boiler tonnage and a scene database, and treatment demand priorities are judged; after standardized fusion processing, module configuration information is matched to generate a targeted control strategy, and meanwhile, potential faults are pre-judged and a plan is formulated; coordinating the linkage execution of each unit, and collecting operation data in real time and feeding back the operation data; on the basis, through modular architecture design and hierarchical logic closed-loop construction, the core pain point of a traditional control system is effectively solved, deep cooperative linkage of heat pump recovery and residual gas separation functions is achieved, the separation barrier of independent control is broken, and the heat pump recovery and residual gas separation functions are dynamically matched and efficiently matched according to real-time working conditions.

The invention discloses a real-time compiling interpreter system capable of running on an MCU (Microprogrammed Control Unit), an FPGA (Field Programmable Gate Array), a GPU (Graphics Processing Unit) or a universal CPU (Central Processing Unit), and belongs to the technical field of embedded systems and computer compiling. According to the system, hardware decoupling is achieved through a modular architecture, and C / C + +, Python and LLVM intermediate codes are supported to be converted into unified intermediate byte codes; a byte code interpreter and an instant compiling module are integrated, both quick starting and efficient execution are considered, and starting can be completed within 1 millisecond; an event driving and periodic scheduling mechanism is provided, and the real-time response requirement is met; a segmented memory model and a security policy are adopted, low-power-consumption edge equipment is adapted, and domestic instruction sets such as RISC-V and LoongArch are compatible. The system solves the problems that a traditional embedded system is poor in flexibility, difficult in cross-platform, insufficient in real-time performance and the like, can achieve unified execution of heterogeneous platform codes, is suitable for the fields of industrial control, Internet of Things edge AI and the like, and has remarkable technical progress and industrial value.