73 results about "Control layer" patented technology

The application provides a kind of ultra-low orbit satellite whole process coupling thermal simulation method and system.The method comprises: constructing whole process coupling thermal simulation system;In control layer, the geometric grid file and orbit attitude parameter file of satellite are imported by input setting interface, and simulation time and task flow time sequence are set;The control layer passes the imported parameters to the calculation layer, and starts time iteration calculation;In the calculation layer, three calculation modules are coupled, and the calculation results are transmitted to the data layer for integration;The data layer transmits the integrated data file to the output display interface to show the simulation results in the form of numerical value, curve or cloud picture.The ultra-low orbit satellite whole process coupling thermal simulation method proposed by the application constructs an integrated thermal simulation system that integrates multiple core calculation modules, while supporting numerical, curve, cloud picture and other forms of visual output, which facilitates designers to intuitively and comprehensively evaluate the satellite thermal management effect.

The application provides a remote driving method, which belongs to the technical field of device control. The method obtains target task information of at least one device through a cloud control layer, and distributes the target task information to an edge control node in the same physical deployment area as the device. According to the target task information and the current object state information of the device, the object target trajectory corresponding to the device is generated and segmented into multiple trajectory segments, and is distributed to the ontology control layer of the device. Thus, the trajectory buffer area is constructed in each object driver, the target reference value is read from the corresponding trajectory buffer area in the servo control loop of each object driver, and the object-level closed-loop control is performed according to the target reference value and the real-time feedback information of the corresponding object to drive the corresponding object to execute the object target trajectory. Thus, the centralized pressure of the cloud control layer on the object-level real-time control is reduced, and the control stability and safety of the device in the remote driving scene are improved.

A flexible display module, a vehicle-mounted curved surface display module, and a vehicle are provided. The flexible display module (10) comprises: a support layer (11); a flexible display panel (12) on the support layer (11); and an optical control layer (13), on the side of the flexible display panel (12) away from the support layer (11), and comprises first and second light control layers (131) and (132) on one side of the first light control layer (131), wherein the dimming rate of the first light control layer (131) is greater than that of the second light control layer (132). The flexible display module (10) uses the first and second light control layers (131) and (132) to realize visual angle brightness control of different regions, can be applied to vehicle-mounted display to solve the problem whereby curved surface display tends to form a projection on a windshield.

The application discloses a kind of nuclear fusion adaptive control system and method based on reinforcement learning, the control system includes physical layer and control layer, physical layer contains tokamak / stellarator device, Thomson scattering and so on diagnostic system and FPAD / PAM projectile injection system, responsible for collecting plasma density profile, temperature profile and other data and executing fuel supply;Control layer is reinforcement learning intelligent agent, contains state perception, strategy network and execution interface module, strategy network uses PPO / SAC algorithm, state perception is included line average density, density change rate and historical sequence data;The control method is trained offline by Torax simulator, is optimized by composite reward function, forms perception-decision-making-execution-feedback closed-loop control, supports real machine deployment and online fine tuning.The application solves the problem of traditional PID control lag, adaptive difference, the control precision is improved by about 40%, density fluctuation is reduced by about 50%, prolongs hardware maintenance cycle, adapts nuclear fusion long pulse operation demand.

The application discloses an autonomous explosive disposal detection system and control method based on an edge full-stack cluster, aiming to solve the computing power bottleneck of the explosive disposal robot in a weak network environment and the reliability problem of grabbing in a complex scene. The system is composed of a four-legged mobile chassis and an execution mechanical arm carrying an airborne edge computing node, and the computing node integrates video processing, Web business hub and comprehensive control layer. The method constructs a full life cycle tactical closed loop: precise searching is realized through spatial tactical calibration, target tracing and macroscopic approach; a dual-mode fault-tolerant architecture based on confidence is innovatively proposed, autonomous grabbing confidence is calculated in real time after tactical anchoring, visual servo grabbing is performed when the confidence is high, the process is automatically suspended and seamlessly switched to a low-delay master-slave synchronous remote control mode when the confidence is low, and finally the safe transfer of explosives is completed. The application greatly improves the operation survival rate and safety of special robots in a broken network and unstructured environment.

The application relates to an FPGA design code credible generation and verification method and system based on a large language model, wherein the system comprises: a user interaction layer used for receiving input information of a user and converting the input information into standardized requirement information; an understanding and generation layer used for performing semantic analysis on the requirement information and generating a preliminary design result, the preliminary design result comprising an RTL code and a test framework; a verification analysis layer used for performing multi-stage engineering verification on the generated RTL code; a structured representation layer used for constructing a unified design intermediate representation in a system to make each stage take the same structural semantics as a benchmark; and a core control layer used for scheduling the running processes of the user interaction layer, the understanding and generation layer, the verification analysis layer and the structured representation layer. The application can improve design efficiency, reliability and engineering controllability.

This invention discloses a digital twin simulation control platform for a grid-type photovoltaic-storage-charging system, comprising: a data acquisition layer, a control layer, a digital twin simulation layer, and an execution layer. The data acquisition layer is used to collect real-time operating data of the grid-type photovoltaic-storage-charging system. The real-time operating data includes photovoltaic array output data, energy storage system status data, charging pile load data, grid connection point data, and environmental data. The control layer is communicatively connected to the data acquisition layer and is used to preprocess the real-time operating data and generate initial control parameters based on the grid-type control strategy. This invention relies on the digital twin simulation layer to load the initial control parameters and real-time data for pre-simulation. Combined with an iterative optimization mechanism of "parameter adjustment - simulation - result feedback," it can identify risks such as transient power angle deviation exceeding the standard and fault current exceeding the limit in advance, avoid reverse current and overcapacity problems caused by blind execution of the control strategy, and reduce system operation risks and economic losses.

The application relates to the technical field of intelligent control of ships, and discloses a ship intelligent driving control system based on multi-source information fusion, which comprises an interaction and cloud service layer, a perception layer, a decision control layer and an execution layer. The interaction and cloud service layer extracts a route intention and initializes a theoretical load; the perception layer collects cabin visual images and multi-source environment data; a water surface automatic driving domain controller of the decision control layer adjusts a working mode of the perception layer based on a route intention parameter, a multi-source fusion algorithm unit of the decision control layer calculates a ship dynamic eccentricity moment, fuses environment data to calculate a space-time residual error to filter out false targets, and extracts a local water surface lateral disturbance force vector; an autonomous control algorithm unit updates a ship dynamics model online and adaptively based on the theoretical load, the ship dynamic eccentricity moment and the lateral disturbance force vector, generates autonomous berthing and unberthing control instructions, and the execution layer receives the instructions for closed-loop execution. The application improves berthing and unberthing control precision under complex water surface variable load conditions.

The application discloses a multi-dimensional perception and self-adaptive tool changing method and system for a shield machine under low-speed pressure keeping, the tool changing system comprises a perception layer, a decision layer and a control layer; the tool changing method comprises the following steps: obtaining three-dimensional comprehensive data through a sensor; the three-dimensional comprehensive data is sent into a multi-modal space-time graph neural network MST-GNN through a sensor data fusion module, and a tool changing priority, a tool changing type label, a tool changing number and a tool changing number are output; the target tool is instantaneously positioned through the tool changing type label; angle error calculation is performed, a zero relative window is confirmed, and tool changing is realized. The application proposes the following method to cope with the long process that the traditional method must be completely stopped and depressurized, that is, under the micro-stop working condition of the low-speed cutter head and the pressure keeping of the soil bin, three-dimensional perception of defects-life-geology is fused, millisecond-level decision is made, RFID instantaneous positioning is performed, five times spline closed-loop tool changing is performed, and the tool changing time is reduced from hours to minutes.

This invention discloses an unmanned intelligent management and control system for mines. The system includes a data acquisition layer, an edge computing layer, a cloud-based intelligent management and control platform, an execution and control layer, and a human-machine interaction terminal. By constructing a collaborative architecture of cloud, edge, and terminal, it achieves unified acquisition of all mine data, edge preprocessing, and deep cloud-based integration. Based on an intelligent analysis engine and a 3D visualization engine, it forms a comprehensive intelligent management and control capability integrating predictive equipment maintenance, intelligent ventilation control, multi-system emergency linkage, and closed-loop management of safety risks. This invention breaks down the information and control barriers between traditional subsystems, elevating discrete monitoring and alarms to autonomous and collaborative intelligent decision-making and closed-loop control, significantly improving the reliability of mine equipment, production continuity, emergency response speed, and safety level.

This invention relates to the field of industrial automatic control technology, and in particular to an intelligent control system and method for a cake production line based on machine vision feedforward and cross-process temporal decoupling. The intelligent control system for a cake production line adopts a layered architecture of industrial PC and PLC, including: a full-dimensional perception layer for collecting operating status and physical characteristic data of the controlled object, including at least a vision sensor for acquiring image data of the cake surface after baking and an infrared thermometer for acquiring surface temperature; an edge collaborative control layer, communicatively connected to the full-dimensional perception layer, including: a feature extraction unit for receiving the image data, extracting chromaticity feature values, and calculating a ripeness index in combination with the surface temperature; a temporal decoupling and compensation decision unit for comparing the ripeness index with a preset threshold and calculating the control parameter compensation amount for downstream processes based on the degree of deviation; and an instruction generation and issuance unit for superimposing the reference parameters and the compensation amount to generate control instructions.

This invention discloses a multi-source time-domain collaborative control method, system, and device for a virtual synchronous generator, belonging to the field of power electronics control technology. The method includes: synchronously acquiring multi-source time-series data from the grid connection point and the virtual synchronous generator itself; constructing a multi-source time-domain state observer based on the fusion of Kalman filtering and recursive least squares to estimate the equivalent inertia coefficient and equivalent damping coefficient of the power grid in real time; designing a collaborative controller including a model predictive control layer and a sliding mode control layer, using the estimated equivalent inertia coefficient and damping coefficient as feedforward correction quantities, continuously optimizing the solution for the optimal voltage reference vector, and generating a compensation control quantity; superimposing the optimal voltage reference vector and the compensation control quantity, and generating a drive signal through pulse width modulation. This invention, through multi-source time-domain collaborative control, achieves adaptive matching of the inertia and damping of the virtual synchronous generator, improves the speed and stability of frequency support, and enhances the power sharing capability when multiple generators are connected in parallel.

This invention discloses an artificial intelligence-based constant temperature and humidity fermentation system for tea, comprising a global perception and data acquisition layer, an AI decision-making and digital twin layer, a precise execution and control layer, and a management and interactive presentation layer. The global perception and data acquisition layer is used to collect multi-dimensional data from the fermentation environment and the tea itself in real time. The AI ​​decision-making and digital twin layer is used to fuse and analyze the collected data, construct a virtual fermentation model, and generate optimized control strategies. The precise execution and control layer is used to distribute the control strategies generated by the decision-making layer to various actuators and drive their actions. The management and interactive presentation layer provides system configuration, process monitoring, model management, and visual interactive functions. This invention relates to the field of intelligent tea processing equipment technology. This system can achieve adjustments from environmental control to quality process control, thereby completing real-time perception, intelligent diagnosis, dynamic optimization, and endpoint determination of the fermentation state.

A thin film transistor 200 (e.g., in a display apparatus) comprising active layer 130, depletion control layer 135 on the active layer, and gate electrode 150 spaced apart from and overlapping the act

This invention relates to the field of composite energy storage control technology, and more particularly to a hierarchical collaborative control method for power-type and energy-type composite energy storage systems. The technical solution includes an upper power distribution control layer and a lower current tracking control layer. The composite energy storage system includes a superconducting energy storage system and an electrochemical energy storage system. The upper power distribution control layer includes the following steps: acquiring the DC bus voltage signal and calculating its deviation signal from the reference value. This invention reduces the online computational burden through event-triggered VMD and frequency domain feature preservation mechanisms, dynamically optimizes filter parameters using frequency domain features to achieve a reasonable division of labor between power-type and energy-type energy storage, and introduces a safety adjustment factor and an asymmetric MPC penalty term to actively suppress the risk of overcharging and over-discharging at the superconducting energy storage boundary. This significantly reduces the number of high-rate charge / discharge switching times for electrochemical energy storage while smoothing power fluctuations, extending its cycle life, and improving the system's robustness to measurement noise and operating condition changes.

The utility model discloses a kind of spring structure, actuator and camera module, the spring structure has multilayer structure, the multilayer structure includes spring body layer, insulating layer and conducting layer, insulating layer is located between spring body layer and conducting layer;The insulating layer is formed in spring body layer by evaporation or sputtering process, and conducting layer is formed in insulating layer by evaporation or sputtering process;The movable part, fixed part and spring suspending wire of the spring structure secondary processing are formed.Because, when lens assembly and movable part displacement drive spring suspending wire deformation, it can make that current voltage in conducting layer etc. Synchronous change, and then the displacement of lens assembly is calculated, the closed loop function of camera module can be realized.And using evaporation or sputtering process to form insulating layer and conducting layer, the thickness of layer can be accurately controlled, ensure that the overall thickness of spring structure, especially spring suspending wire is uniform controllable, do not affect its mechanical properties of deformation reset.

This invention discloses a CNC machining vibration adaptive control method and system. The control system includes a sensing layer, an edge computing layer, and a control layer. The sensing layer synchronously collects vibration signals, tool information, cutting parameters, and material type. The edge computing layer incorporates a hard real-time OS and an AI self-learning model to preprocess, extract features, and perform AI inference on multi-source data to generate vibration control commands. The control layer sends the adjustment commands to the CNC system for execution. The control method includes: collecting multi-source working condition data; preprocessing to extract time-domain and frequency-domain features; hierarchical adjustment according to the principle of speed priority and feed assistance; and iteratively updating the AI ​​model with cached data. This invention adopts non-intrusive deployment, integrates multi-source data, and achieves vibration adaptive control through edge AI self-learning. It significantly reduces vibration, effectively improves machining efficiency, and significantly reduces tool wear, making it suitable for various CNC machining scenarios.

Disclosed is a fail-closed conformance control layer for machine-assisted decision artifacts. The system generates replay-verifiable receipts that commit to a canonical artifact digest, evidence and snapshot identifiers, assumptions, toolchain identifiers, and a policy pack identifier and policy version digest. A deterministic validator evaluates a receipt under the versioned policy pack to output PASS, FAIL, or HOLD with reason codes from a reason-code registry, including time-stamped modeled-variability codes. Downstream side effects are gated in a control path and permitted only on PASS; otherwise they are withheld or routed to remediation or human review. The system may emit portable conformance packs and revalidate receipts over time to detect drift and manage a certification lifecycle. Conformance suites with deterministic test vectors and expected validator outputs may certify validator implementations by issuing signed conformance certificates and publishing a certificate or certificate digest to a verifiable certificate registry for independent verification and procurement acceptance testing.

Electronic equipment, comprehensive: a carrier material (10); a display field (20; DP) comprising multiple light sources, wherein the multiple light sources are configured to emit an optical signal through the carrier material (10) onto an object (OBJ); at least one sensor (430) below the carrier material (10), wherein the at least one sensor (430) comprises processing circuits (40) configured to detect biometric information associated with the object (OBJ) by receiving a reflected light signal, wherein the reflected light signal corresponds to the optical signal reflected by the object (OBJ) and transmitted through the carrier material (10); a multi-lens array (410) comprising at least one support layer (413), several first lenses (411) and several second lenses (412), wherein the at least one support layer (413) is located in an upper section of the at least one sensor (430), the several first lenses (411) are located on an upper surface of the at least one support layer (413) and the several second lenses (412) are located on a lower surface of the at least one support layer (413); and a position control layer (470) configured to adjust a horizontal position of the at least one sensor (430).

The present invention provides an internally progressing information display that is simple in structure, low in cost, independent of the external environment, has high storage durability, prevents malfunctions, and possesses high defensive capabilities that make imitation or modification difficult through partial changes to the structure. [Solution] This invention is an internally progressing information display that provides visual information as a medium progresses along an internal path. Throughout the entire process from the start to the completion of the medium's progress, the speed, distance, shape, and color change of the medium are determined by the internal structure and internal parameters. Therefore, it is less susceptible to fluctuations in the external environment and has high progress accuracy and display stability. The progress control layer arranged along the internal path has adjustable film thickness, pore size, hydrophilicity, hydrophobicity, wettability, surface energy, and permeability, and the medium can be arbitrarily set to a liquid, gel, or fine particles. The internal path can be any shape, such as linear, meandering, branched, porous, or vortex, and the conditions for starting the progress can be set as predetermined internal conditions, such as the operation of a starting member.

This invention discloses a visual inspection system for surface defects in industrial parts, relating to the field of parts quality control technology. The system adopts a four-layer architecture: a thermoelectric coupling field control layer, a texture-encoded defect development and acquisition layer, a cross-scale linkage modeling layer, and a process closed-loop control layer. The core components include a field-induced texture-encoded defect development unit, a texture-encoded defect cause mapping unit, a cross-scale closed-loop control unit, and a multi-dimensional collaborative verification unit. This invention utilizes the core technologies of active thermoelectric coupling field control + reuse of processing texture process codes, field-induced development of micro-defects, and cross-scale closed-loop control to solve the problems of existing detection methods, such as the inability to trace the cause of defects, high false negative rates for nanoscale micro-defects, disconnect between detection and process optimization, high system costs, and dependence on constant temperature environments. It achieves simultaneous and accurate completion of defect detection and cause tracing, significantly reduces the false negative rate of micro-defects, enables closed-loop control of the entire detection-process optimization process, reduces system costs, and adapts to non-constant temperature industrial scenarios.

A quantitative analysis method for the spatiotemporal distribution characteristics of system frequency based on LQR optimal feedback control is proposed. This invention belongs to the field of power system frequency analysis and control technology. To address the problem that existing indicators are insufficient to characterize the entire dynamic process and are not effectively correlated with control methods, this invention defines the integral of the weighted sum of squared frequency differences between nodes as the objective function, transforms it into an LQR standard quadratic form, and solves for the optimal feedback control matrix K. The Frobenius norm of matrix K is used as a quantitative evaluation index, and its rationality in measuring control potential and frequency distribution significance is proven through matrix inequalities. A functional relationship is established between the index and the state coefficient matrix A and the input state coefficient matrix B, and the Fréchet derivative is obtained to analyze the key factors affecting the spatiotemporal distribution of frequency. This invention starts from the control level, considers the entire dynamic frequency process, and can quantitatively analyze the impact of system structure and disturbances on frequency differences.

A kind of multi-level automated assembly system and control method, system includes management layer, control layer and equipment layer, management layer sets task management system and single-point control system, control layer sets electric control system and measurement system, equipment layer sets equipment set;Task management system is connected with electric control system, task management system is used to receive, create and manage assembly task, and assembly task is issued to electric control system to call process flow;Single-point control system is used to control actuator in single point;In precision requirement link, trigger measurement function to check;Electric control system is connected with equipment set simultaneously, and each equipment is driven to complete corresponding action in process flow;Measurement system is connected with image acquisition equipment in equipment set, drives image acquisition equipment to carry out image acquisition, and uses the image collected to calculate measurement result, and measurement result is fed back to electric control system.The automated assembly system of the application has clear architecture, good expansibility and simple implementation.

The application discloses a pickling machine multi-thread synchronization and accurate feedback remote interaction control method, and belongs to the technical field of industrial automation control. The application realizes remote safe, efficient and accurate control of pickling equipment by constructing a three-layer modular collaborative architecture of a perception layer, a control layer and an interaction layer, combining special interaction logic design, process optimization algorithm and accurate feedback mechanism. The interaction logic design for the special process scene of pickling equipment adopts scene-based modularization, operation process simplification and interface equivalent mapping to ensure consistent operation experience with the on-site touch screen. The process optimization algorithm improves operation response efficiency through instruction classification priority sorting, lightweight packaging, parallel processing and simplified feedback. The accurate feedback mechanism realizes 100ms periodic collection of equipment state and millisecond-level synchronization of interface based on multi-thread timing collection, three-level data verification and dynamic synchronization.

The application discloses a kind of MMC-BESS low-computing amount extended level model predictive control methods, adopt hierarchical architecture: output current control layer is determined theoretical optimal level by minimizing current envelope area, and take its adjacent two integer levels as candidate, only evaluate 2 candidates can obtain optimal output level, constant 2 with the number of sub-modules, irrelevant;Based on the result, the circulating current control layer obtains the optimal bridge arm input combination by direct calculation and rounding, without exhaustive search, the amount of calculation is zero.Simultaneously set bridge arm input combination boundary constraint mechanism to ensure physical realizability.This method completely eliminates the tuning problem of weight factor in traditional model predictive control, the total amount of calculation is extremely low and does not increase with the number of sub-modules, with excellent output current quality, circulating current suppression ability and sub-module state of charge balancing performance, especially suitable for large-scale modular multilevel energy storage system.

A display panel, comprising a substrate, a plurality of light-emitting devices, a first light-shielding layer and a touch-control layer. The plurality of light-emitting devices are disposed on one side of the substrate. The first light-shielding layer is disposed on the side of the plurality of light-emitting devices away from the substrate. The first light-shielding layer is provided with a first opening, and in an orthographic projection onto the substrate, the light-emitting devices at least partially overlap with the first opening. The touch-control layer is disposed on the side of the plurality of light-emitting devices away from the substrate. The touch-control layer is provided with a second opening, and in the orthographic projection onto the substrate, the second opening at least partially overlaps with the light-emitting devices. Regarding the first opening and the second opening, the one relatively closer to the substrate is the first target opening, and the one relatively farther from the substrate is the second target opening. In the orthographic projection onto the substrate, the second target opening is located within the first target opening, or part of the second target opening is located outside the first target opening, the distance between the boundary of the part of the second target opening that is located outside the first target opening and the boundary of the first target opening being less than or equal to 3 μm.

The application discloses a kind of verifiable reference and conflict arbitration multi-agent context control system and method, system includes: multi-source data access layer, analysis slice index layer, module context control layer, evidence management layer, generation and export layer, interaction and playback layer.Method steps include: establishing task record, analysis and cache material, context controller filters material set, on-demand call vector retrieval and networking search, Agent generates initial draft and supports re-search, assert evidence alignment and find minimum sufficient support, conflict arbitration and scoring, permission check and desensitization, generate final document and export, playback component recovers context snapshot.The scheme generates through multi-agent cooperation and blueprint-driven chapter-level parallel, combined with assertion evidence alignment, conflict automatic arbitration and permission whole-process propagation, realizes the verifiable, traceable and safe compliance of generated content;Built-in re-search and local rewriting closed loop triggered by proofreading, significantly improve the quality and generation efficiency of long report.

This invention provides a municipal gas transmission and distribution integrated energy-saving system, comprising a sensing layer, a reference model layer, a core control layer, an execution layer, and a feedback layer that interact sequentially, forming a closed-loop data link between each layer. The core objective of this invention is to address the pain points of traditional municipal gas transmission and distribution systems, which, due to their fixed parameters and manual adjustment mode, cannot adapt to fluctuations in gas composition, sudden changes in user load, and dynamic changes in pipeline impedance. These issues result in low control accuracy, large energy efficiency fluctuations, and insufficient pressure energy recovery. Ultimately, this invention aims to drive the municipal gas transmission and distribution industry towards intelligent and energy-saving upgrades.

An end-to-end well construction system includes an e-program for receiving a first input selected from well planning data, rig historical performance data, rig parameters, drilling engineering input, management of change, and a combination thereof, and configured to produce a first output selected from a machine and / or human readable sequence, a time depth curve, a drilling program, and a combination thereof, and a second output including analytics data. Further, the end-to-end well construction system includes a drilling control layer, configured to receive the first output from e-program, and to produce a third output including an automated sequence, and a smart well analytics system configured to receive the analytics data from the e-program and a second input selected from drilling data, downhole data, base data from the e-program, a modeling software, and a combination thereof, and to produce a fourth output to the drilling control layer for automated adjustment.

This invention discloses a dynamic management system for DingTalk Stream mode in a multi-tenant scenario, comprising a configuration access layer, a core control layer, and a resource support layer. The configuration access layer includes a configuration management module and a manual control module. The core control layer includes a configuration listening module, a health check module, an event bus module, and a client factory module. The resource support layer includes a resource management module, a multi-tenant client pool module, and a log recording module. A ConcurrentHashMap client pool with tenant ID as the key is used to achieve independent storage and thread-safe access for each tenant client instance. Through collaboration between modules in the core control layer, automatic creation, updating, and destruction of clients driven by configuration changes are achieved. Automatic monitoring of client status is achieved based on timed heartbeat monitoring and event-driven mechanisms. On-demand resource allocation is achieved through expansion / contraction mechanisms and resource quota management, while a resource early warning mechanism is also added.