621 results about "Dynamic control" patented technology

The present application discloses an energy consumption regulation method, device, lighting system, computer device, and storage medium. The method comprises: determining target 5 energy consumption data and a target regulation period in response to an energy consumption restriction instruction for a target area; determining historical passenger flow data according to the current date and the target regulation period; performing energy consumption analysis based on the target energy consumption data and the historical passenger flow data to obtain an analysis result, wherein the analysis result is configured to characterize a corresponding 10 relationship between passenger flow and energy consumption that can meet the target energy consumption data; if the current time meets the target regulation period, determining current passenger flow data, and determining energy consumption regulation parameters based on the current passenger flow data and the analysis result; and controlling the operation of a target electrical appliance group in the target area based on the energy consumption regulation 15 parameters to dynamically control the operation of the target electrical appliance group. The method ensures that the energy consumption regulation of the target electrical appliance group does not affect customers' shopping experience, realizing balanced regulation between dynamic passenger flow and energy conservation. (Fig. 1) 32 20 25 22 07 27 20 A ug 2 02 5 A B S T R A C T 2 0 A u g 2 0 2 5 2 0 2 5 2 2 0 7 2 7 1 0 3 2

The present application relates to a kind of four-legged robot single leg sliding mode control method based on interference observer, belong to robot control technical field.First, the trajectory of four-legged robot single leg in swing phase is established;Then, the kinematic model of four-legged robot single leg is established, to realize the conversion of foot target position and corresponding joint angle;On this basis, non-singular terminal sliding mode controller is designed to deal with the dynamics control under the condition of no interference;Finally, combined with sliding mode controller and interference estimation, the final composite control strategy is designed, the stable tracking of robot joint angle is realized, so as to improve the anti-interference performance of single leg system.The present application utilizes the combination of finite time interference observer and non-singular terminal sliding mode controller, designs a kind of composite controller, to improve the foot trajectory tracking accuracy and system robustness of four-legged robot, eliminate the uncertainty caused by external disturbance and modeling error suffered by robot.

The application relates to the technical field of data processing, and discloses a large file export optimization method and system based on real-time memory monitoring. The method comprises the following steps: monitoring a memory state in real time and calculating a memory growth rate; taking the growth rate as an independent risk dimension, and giving a warning when the rate exceeds a threshold value and the memory usage rate does not reach a threshold value; performing adjustment in response to the warning, including dynamically updating the throughput control of the data shard size, and triggering the degradation mode to reduce the export field to the data precision control of the core field; and attaching an instruction page to the export file during degradation. Through trend prediction and dynamic control, the application reduces the risk of memory overflow and guarantees core data export.

The utility model discloses a kind of sealing pressure reducing valve, it is related to pressure reducing valve technical field, including valve body, the water inlet end and water outlet end are respectively arranged in the both ends of valve body;Valve body inside is equipped with pressure reducing chamber, the bottom of pressure reducing chamber is communicated with water inlet end, the top of pressure reducing chamber is communicated with water outlet end, the top of valve body is fixedly connected with installation sleeve pipe, the bottom of valve body is equipped with overhaul hole.This kind of sealing pressure reducing valve, the utility model passes through the multistage linkage structure of pressure reducing chamber, drive cavity and pressure chamber, forms closed loop pressure feedback mechanism, when the pressure change in pressure reducing chamber, pressure reducing plug changes drive cavity pressure distribution by adjusting rod driven trigger plug, the pressure change is transmitted to pressure chamber after pipeline, can directly drive flow control plug to carry out displacement adjustment, realize the dynamic control to the communication area of flow control chamber and pressure chamber.Simultaneously, the buffering effect of adjusting spring further inhibits pressure fluctuation, ensure that water outlet end pressure output is stable.

This invention discloses a coordinated control system and method for a megawatt-level photovoltaic-storage-charging microgrid, belonging to the field of integrated energy management and microgrid control technology. The system includes a grid interface, a photovoltaic power generation array, a large-scale energy storage system, a charging pile cluster, and a microgrid management system. The method constructs a five-layer efficient control logic system comprising a prediction layer, an energy control layer, a load control layer, an operation layer, and a value-added layer. Its core lies in using the power balance equation as a basis to dynamically adjust the charging and discharging power of the energy storage system, thereby maximizing the absorption of photovoltaic output, accurately managing grid demand, and adaptively adjusting the charging load. This invention introduces the concept of a photovoltaic discharge threshold that matches the physical start-up characteristics of photovoltaics. Based on the dynamic control logic of charging photovoltaics with power ramping, it achieves the operational goal of photovoltaic power utilization exceeding 70%, significantly reducing charging costs and improving the overall economy and reliability of the system.

The application discloses an RGBT target tracking training system, a training method and an inference method. The system comprises a multi-layer teacher network, a lightweight student network, a first distillation branch used for extracting feature statistics and calculating alignment loss of a task response graph, a second distillation branch used for extracting a word element relationship matrix and calculating relationship loss, a relationship control module used for generating a dynamic mask to control word element relationship visibility according to a training stage, and an auxiliary supervision module comprising a fusion tracking head and a modal-specific tracking head for multi-head supervision of student features. Through a dual-branch distillation strategy of architecture decoupling, feature-level forced alignment of a heterogeneous network is avoided. Through a progressive relationship exposure mechanism, relationship complexity is dynamically controlled to ensure optimization stability. Through a modal preservation learning strategy, single-modal discriminative features are preserved. The application can significantly improve inference speed while maintaining high tracking accuracy, and effectively balances model accuracy and running efficiency.

A system and method for synchronized audio playback among multiple users with dynamic transfer of playback control are described. A control server coordinates session creation, playback timing, and participation while a streaming server delivers audio to connected user devices in real time. Multiple control policies govern playback authority, including open-access rotation, administrator assignment, and democratic voting. Users may locally pause playback without interrupting the shared stream, and engagement metrics are computed from aggregated reactions and comments to generate visual indicators of audience activity. Location-based discovery enables nearby session detection, and adaptive synchronization maintains cohesive playback across heterogeneous devices and network conditions.

The application discloses a tangential turbine flowmeter with self-power generation and a metering method thereof, relates to the technical field of flow monitoring, and comprises a flow guide cover, a flow guide pipe, a flow monitoring module and an electricity storage module, and is characterized in that a flow guiding dynamic control mechanism and a self-power generation control mechanism are additionally arranged; the flow guiding dynamic control mechanism cooperates with a reset spring through a conical cover pressure sensor to monitor water flow pressure, a driving assembly drives a control disc to adjust the extension state of a flow guide plate, and water flow state optimization and working condition adaptation are realized; the self-power generation control mechanism is driven by a rotor shaft with the aid of turbine rotation, cooperates with a magnetic plate in a stator cover and a T-shaped magnet to generate power, and a control assembly can dynamically adjust the gap between the T-shaped magnet and the rotor shaft through a driving gear plate and a linkage plate to adapt to different flow and electricity storage states; the scheme does not need an external power supply, can adapt to various working conditions such as clean water flow and easily precipitated medium, remote areas, explosion-proof and unattended scenes, improves metering precision and power generation stability, and has the advantages of energy saving, environmental protection and high adaptability.

This application discloses a method, device, and medium for dynamic control of uplink power in a repeater, belonging to the field of communications. The method includes: determining the upper limit of the uplink transmit power of the repeater based on the downlink path loss between the repeater and the host base station, the uplink path loss, and the uplink reference sensitivity of the host base station; if the current uplink transmit power is greater than or equal to the upper limit, the current uplink transmit power is reduced by a first preset step size; if the current uplink transmit power is less than the upper limit, the current uplink transmit power is increased by a second preset step size; determining whether this power adjustment triggers a power increase in the user equipment; if so, the current uplink transmit power is increased by the second preset step size; if the current uplink transmit power meets a preset stability condition, the loop process is temporarily exited; otherwise, the main loop is returned to execution until the current uplink transmit power stabilizes. This method can achieve a balance between network-side interference suppression and user-side experience assurance.

A method of controlling a light driver includes determining, by a secondary controller of the light driver, an actual voltage drop across a regulator of the light driver; determining, by the secondary controller, a target voltage drop of the regulator; calculating, by the secondary controller, a theoretical input voltage of the regulator based on the target voltage drop and an output voltage of the regulator; determining, by the secondary controller, whether the theoretical input voltage is within a first range; and in response to determining that the theoretical input voltage is within the first range, generating, by the secondary controller, a first feedback signal for transmission to a primary controller of the light driver based on the target voltage drop and the actual voltage drop.

This invention discloses a multimodal data security sharing method based on information security. Addressing the problems raised in previous technologies, such as data becoming ineffective when it leaves a controlled domain, and the inability of subsequent dynamic control attempts to be implemented due to the lack of a trusted, data-co-existing execution endpoint, and the inability of security policies to learn and adjust based on real-time feedback during data usage, this invention proposes the following solution: policy-driven multimodal data preprocessing and labeling. For the raw multimodal data to be shared, a sensitive information identification model corresponding to the modality is invoked for analysis. This invention solves the industry problem of data loss of control after leaving the domain, promotes real-time collaboration and evolution of security capabilities, drives the continuous evolution of policies and identification models, and constructs a unified framework and modality-adaptive cross-modal data security management solution. It transforms complex security operation and maintenance problems into simple policy definition problems, significantly reducing the technical threshold and operational costs of secure sharing.

Systems and methods are disclosed herein for adjusting a demura configuration in a display. In an example system, input pixel data is analyzed to determine pixel data characteristics. The input pixel data is received from a display controller of a computing device, such as a computing device coupled to the display. Contextual data corresponding to a generation of the input pixel data is analyzed. A demura mode is determined for the input pixel data based on the pixel data characteristics and the contextual data. Elements of a pixel array of a light emitting diode (LED) display are energized based on the demura mode and the input pixel data. In this manner, a demura correction can be dynamically controlled in a display, leading to various improvements such a reduced processing and power consumption.

This invention relates to the field of robotic arm control technology, and provides a method and system for multi-target cooperative positioning and adaptive grasping dynamic control of robotic arms. The method includes the following steps: acquiring the geometric dimensions, material type, centroid coordinates, and velocity vectors of each target on the conveyor belt, and constructing the state vector of each target; calculating the dynamic optimal matching factor for each combination of robotic arm and target; based on the optimal matching result, for successfully matched robotic arms and targets, fusing the short-time predicted trajectory of the target to plan the motion trajectory of the robotic arm, so that the end effector of the robotic arm is synchronized with the target position at the moment of grasping; at the moment of grasping contact, setting the initial grasping force according to the target material and relative velocity; after successful grasping, dynamically adjusting the grasping force based on the load mass identified by the force sensor, achieving adaptive optimization of the grasping force, ensuring that the clamping force is always at a balance point between stable grasping and avoiding damage, thus improving the grasping success rate and the integrity rate of the object.

This invention relates to the field of robot motion control technology, and more particularly to an obstacle avoidance adaptive dynamic control system, comprising a multimodal environment and physiological temporal perception module with communication connections, a photodynamic Riemannian metric tensor mapping module, a neural constant differential cognitive evolution prediction module, a robust forward invariant tube synthesis module, a Riemannian space barrier constraint solving module, and a differential manifold impedance execution module. The perception module extracts circadian rhythm representation data; the mapping module reconstructs Euclidean space into a Riemannian manifold space based on the photodynamic cost scalar field; the neural constant differential module calculates the cognitive delay evolution trajectory by combining multi-source features; the synthesis module synthesizes a robust forward invariant tube for envelope prediction error; a Riemannian control barrier function constraint proposition is constructed by combining geodesic distance; and the execution module solves for the optimal safe control vector and inversely maps it to impedance torque distribution. This invention achieves deep coupling between physiological rhythms and non-Euclidean geometric control, constructing a physically compliant obstacle avoidance safety defense line.

This invention relates to the fields of audio and video playback technology and network communication technology, specifically a dynamic control method and system for video playback caching. By introducing intelligent prediction models, dynamic weight allocation algorithms, and scene association mechanisms, it achieves precise adjustment of video player caching duration, download speed, and external parameters, thereby maximizing the utilization of the player's local cached content, improving bandwidth utilization, reducing CDN bandwidth costs, and minimizing playback stuttering. Furthermore, this invention provides dynamic parameter and intelligent algorithm configuration interfaces for external users, allowing them to adjust caching control strategies based on multiple different parameters and business scenarios to achieve the optimal caching strategy for their own business.

This invention provides a state perception method and system for electric vehicle battery swapping networks based on edge computing, belonging to the field of electric vehicle battery swapping network technology. First, a state interaction topology for the battery swapping network is constructed, and dynamic data on battery storage at swapping stations, operation of swapping equipment, and swapping requests are collected to generate a multi-dimensional state perception stream. This stream is then transmitted to an edge computing state processing link for distributed feature mapping, resulting in a set of feature vectors. Next, a state association evolution model containing multiple state evolution relationships is constructed to trace the origin and diffusion path of operational bottlenecks and determine control priorities. Finally, a dynamic control stream is generated based on the priorities and the set of feature vectors, converted into a standardized instruction sequence, and transmitted to the corresponding link. This achieves real-time perception and dynamic control of the battery swapping network state, improving the operating efficiency and service quality of the battery swapping network.

This invention discloses a dynamic control system for hazardous sources in manufacturing sites based on the Industrial Internet of Things (IIoT), relating to the field of industrial automation control and safety monitoring technology. The system collects comprehensive monitoring data through a multi-dimensional element sensing unit; a spatiotemporal synchronization processing unit constructs a dynamic spatiotemporal data cube; a nonlinear risk coupling analysis unit uses a coupling model to calculate a comprehensive risk index and identify hidden risks; a hierarchical early warning decision unit generates different levels of instructions based on the index; and a physical-level rigid execution unit achieves closed-loop control through audible and visual alarms, process parameter adjustments, and power cutoff. This invention solves the problems of a single evaluation mode, neglect of coupling effects, and lack of rigid control in response, achieving accurate identification and physical-level safety interception of dynamic hazardous sources, greatly improving the inherent safety level and response efficiency of the manufacturing site.

The application relates to the technical field of fresh-keeping warehouses, and discloses an ethylene dynamic controlled release device for a fresh-keeping warehouse, which comprises a packaging shell, the inner wall of the packaging shell is fixedly connected with a first partition plate and a second partition plate, the first partition plate and the second partition plate make the inside of the packaging shell form a reaction cavity and two separated cavities, a propelling mechanism is installed in the inside of the packaging shell, the propelling mechanism comprises two piston plates, the outer wall of one side of the piston plates is fixedly connected with sliding rods, the ends, away from the piston plates, of the two sliding rods penetrate through the packaging shell and are fixedly connected with a connecting plate, two electric push rods are fixedly installed on the top outer wall of the packaging shell, in the utility model, the ethylene concentration in the fresh-keeping warehouse is monitored in real time through an ethylene sensor, and data is transmitted to a controller, the controller accurately controls the work of the propelling mechanism and a driving assembly according to a preset concentration threshold value, the dynamic adjustment of the contact amount and the contact speed of 1-MCP precursors and slow-release agents is realized, and then the release speed and the time of 1-MCP gas are accurately controlled.

The invention relates to a dynamic method for maintaining a predetermined supercooling of the refrigerant exiting the condenser by means of dynamically controlling the circulating mass of the refrigerant by transferring refrigerant into or to a reservoir installed in parallel with the connection between the condenser and the regulator depending on the temperature difference between the condensation temperature of the saturating liquid and the outlet temperature of the condenser.

This invention discloses a method and system for predicting converter gas and coordinating oxygen optimization based on trend perception, belonging to the field of intelligent control and energy optimization technology. The method for predicting converter gas and coordinating oxygen optimization includes: data acquisition and preprocessing; constructing a historical trend sample set; performing real-time single-time prediction of gas based on similarity matching; multi-step rolling prediction; and inputting the obtained multi-step prediction result sequence into an oxygen dynamic control model, thereby enabling real-time control of the oxygen supply. This invention is applicable to the energy management system of converter steelmaking processes, achieving dynamic balance between oxygen production and consumption, minimizing emissions, improving energy utilization, and reducing external purchase costs. It features accurate prediction, fast response, and strong adaptability.

This application provides a dynamic control method and system for data usage based on a data space, belonging to the field of network security technology. The method includes: acquiring access requests from data users and storing them in a preset data space, which includes control logic, access requests, and policies; acquiring environmental information of the access requests through a preset context-aware engine; evaluating the environmental information based on a preset blocking rule base and a preset security policy baseline to obtain a risk assessment coefficient; allowing data access when the risk assessment coefficient is less than a preset first threshold, and inputting the interaction pattern generated by the data access into a pre-trained access anomaly detection model to obtain a detection result; generating and outputting a denial information report if the detection result is abnormal behavior; and verifying the normal behavior against the access request and access policy if the verification fails, generating and outputting an alarm message. This application improves data security.

This application discloses a multi-scenario adaptive thermal management control method, device, medium, and product, relating to the field of electric vehicle thermal system management. The method includes: constructing a thermal system model library and obtaining dynamic response characteristics; obtaining a thermal system controller based on a hierarchical control strategy using a dynamic programming algorithm; determining personalized control parameters using an asymmetric Gaussian process regression model and a perceived temperature prediction model; integrating multi-mode switching logic to dynamically adjust personalized control parameters, resulting in a panel controller; determining thermal scenario prediction data using an online identification model and clustering thermal system sensitive features using an improved K-Means++ algorithm to generate a typical scenario feature vector library; and determining a multi-scenario adaptive thermal management control strategy using a hierarchical controller constructed based on the thermal system controller and the panel controller. This application can determine a dynamic control strategy based on real-time data, achieving thermal system adaptation under real-time conditions.

The application relates to the technical field of intelligent traffic signal control, and discloses a multi-level city traffic signal lamp global linkage dynamic control method based on AI, which comprises the following steps: S1, collecting multi-source traffic data of a global road network in real time, performing space-time fusion and cleaning on the multi-source traffic data, and constructing a global traffic state feature library; the application realizes global road network cooperative control through a three-level AI architecture, can avoid local congestion diffusion, can make the global traffic efficiency increase by 30-60%, can make the average waiting time of vehicles reduce by more than 50%, can make the congestion conduction between regions reduce by more than 70%, and the system has multiple scene capabilities such as emergency priority and tidal traffic flow adaptation; the system realizes lifelong self-evolution relying on data closed-loop self-training, the control effect is continuously optimized, the level decoupling architecture guarantees that a single point fault does not affect global operation, and the system is stable; meanwhile, the system is compatible with multi-source equipment access, has low transformation cost, and is convenient for large-scale popularization.

The present application relates to water and fertilizer management technical field, specifically to a kind of agricultural water and fertilizer management method and system based on cloud platform, including the following steps, utilize sensor to collect crop image and extract chlorophyll and leaf area characteristics, analyze variation rate to determine crop growth process and time sensitivity, construct index type dynamic weight mapping relationship, task resource coupling index is calculated in combination with cloud node load and fertilization data fluctuation, based on index task sequencing and execution time delay deviation compensation, generate water and fertilizer management instruction.In the present application, by fusing multi-dimensional morphological features and environmental load data to construct a dynamic control model, a nonlinear correlation between crop demand and execution weight is established using an exponential function mapping mechanism, precise perception of crop growth demand and adaptive optimization of task execution timing are achieved, the task queue is flexibly adjusted according to the resource coupling state, resource competition conflicts are effectively avoided, and the efficiency of water and fertilizer collaborative management is improved.

This invention discloses a communication networking system and control method for an automated parking garage, specifically relating to the field of communication networking technology. It includes a service terminal for terminal control, multiple local area network (LAN) nodes connected to the service terminal via a wireless network, and a drive terminal module for controlling actuators within the automated parking garage. The number of LAN nodes is the same as the number of levels in the automated parking garage. Each LAN node is connected to a signal transmitting antenna, which is equipped with a signal amplifier to amplify the transmitted signal. The signal transmitting antenna is also connected to a dynamic controller. This invention ensures that the signal strength at the location of the actuators within the automated parking garage does not significantly drop when they move in different directions. It improves the anti-interference capability of the wireless networking method and solves the problem of limited transmission distance, guaranteeing signal strength stability and communication quality.

A self-organizing swarm robot system and control method based on cellular soft and hard mechanisms are disclosed. The system includes several individual robots. Each robot includes an upper shell, a middle support, a lower support chassis, electrically driven legs, a magnetically connected actuator, a PCB control board, and light-emitting elements. The PCB control board is equipped with an ESP-NOW wireless communication module, a light sensor, and a multi-pose sensor. The magnetically connected actuator includes static and dynamic actuators alternately distributed along the circumference. This invention can simulate the adhesion force regulation and morphological expansion and contraction mechanism between biological cells, achieving dynamic control between swarm robots under mechanical action. It exhibits high flexibility and fast response speed, enabling multi-degree-of-freedom movement and posture adjustment in complex environments. By using ESP-NOW wireless communication technology in conjunction with light sensors and multi-pose sensors to construct a high-precision distributed sensing and control system, it supports the self-organization, collaboration, and task execution capabilities of swarm robots in weak information environments.

The application discloses a laser processing galvanometer splicing precision closed-loop control method and system, relates to the technical field of galvanometer control, and comprises the following steps: acquiring theoretical parameters of a galvanometer system and establishing a theoretical global coordinate system; extracting local trajectories of galvanometers in a splicing area in a processing image and performing preliminary space-time alignment; constructing a distance constraint set in the splicing area; constructing an over-determined constraint equation set to solve relative geometric errors of adjacent galvanometers; recursively decomposing error time series; establishing an error model and predicting future short-time errors; generating a feedforward compensation amount to real-time correct control instructions; continuously updating trajectories, constraints and models; and introducing a forgetting mechanism to reduce the influence of historical data. The application realizes high-precision online closed-loop dynamic control of splicing errors, eliminates the dependence on complex offline calibration, enhances the accuracy of the system to time-varying interference through adaptive weights and predictive feedforward, and comprehensively improves the precision consistency and stability of large-area laser processing.

This invention relates to low-altitude security in petrochemical plant areas, specifically to a method and system for creating a three-dimensional safety map of petrochemical plant areas. The method involves multi-level grid subdivision of the petrochemical plant area based on GeoSOT, matching grid accuracy according to target size, and generating a unique BeiDou grid code for each grid cell. Multi-source data is unified to the BeiDou grid code spatiotemporal reference, an error compensation model based on environmental perception is established to suppress multipath interference, and multi-source data fusion is performed. The grid status is dynamically updated, partially updated, and version-managed to achieve real-time updates and historical backtracking of the airspace situation. Target threat assessment is conducted, and countermeasure resources are scheduled for rapid countermeasures against threatening targets. A three-dimensional map visualization rendering is performed, intuitively presenting the airspace situation, target trajectories, and countermeasure equipment status. This invention effectively overcomes the shortcomings of two-dimensional control, such as airspace blind spots, insufficient positioning accuracy in complex environments, inability to achieve three-dimensional fusion of multi-source data, and low efficiency in dynamic control response.