507results about How to "Improve intelligence" patented technology

The invention discloses a dynamic obstacle avoidance method and system for a substation inspection robot. The position of the robot is positioned based on laser point cloud data, and static and dynamic obstacle features are extracted at the same time. An environment association graph is constructed through perception information in the advancing process, and feature information of each node serves as an attribute of the environment association graph; calculating the distance, the relative speed and the relative angle between the edge weights of the nodes according to the nodes; on the basis of the environment association graph, aggregating all-graph obstacle node information to generate real-time feature representation for robot nodes, and correcting a calculation mode of attention weight according to edge weight between the nodes; and finally outputting a real-time feature vector of the robot node. And defining a reinforcement learning framework and executing path planning. According to the invention, through combination of GAT and dynamic planning, efficient obstacle avoidance and path planning of the robot in a substation environment are realized, and the decision and execution capability of the robot in a dynamic complex scene can be improved.

This invention discloses a double-layer fully automatic opening and closing roller beam device for subway rail transportation, including an upper roller beam, a lower roller beam, a drive column, and side columns corresponding to the drive column. The horizontally transverse upper roller beam is rotatably mounted on the drive column at one end and rests on the side column at the other end. It also includes an automatic control mechanism and a roller beam rotation support mechanism on the same longitudinal line as the drive column. The automatic control mechanism includes a control host and several position sensors installed on the side columns and the roller beam rotation support mechanism to transmit the position information of the upper roller beam. The position sensors feed back signals to the control host to automatically control the opening and closing of the upper roller beam. It is installed on an adjustable height support beam, which includes a support beam, crossbeam support feet, and a crossbeam height adjustment mechanism. It has the advantages of fully automatic opening and closing of the roller beam, simple operation, time and labor saving, high personal safety factor, and high overall structural stability.

This invention provides an extreme energy-saving range control method and system for new energy vehicles, comprising: acquiring vehicle operating status information and adaptively activating an energy-saving range mode based on the operating status information; dividing the vehicle's battery rated capacity into a normal driving stage range and an emergency driving stage range according to a ratio based on the activation result, and adaptively adjusting the vehicle's power output and accessory energy consumption based on the vehicle's real-time battery level in the normal driving stage range; adjusting the vehicle's standard operating procedures when the vehicle's battery level enters the emergency driving stage range, and prohibiting the vehicle from driving when the battery level reaches 0. This method effectively extends the vehicle's driving range, avoids battery over-discharge, and better meets user needs and vehicle protection requirements.

The invention belongs to the field of wastewater treatment and industrial automatic control, and particularly relates to an intelligent dosing control method based on water quality online monitoring. The method comprises the following steps: capturing a water body spectrum fingerprint spectrum by using a full-spectrum scanning module to obtain a characteristic signal sequence; a chemical informatics molecular algorithm is introduced for preprocessing and feature enhancement, and molecular fingerprint information is recognized; a convolutional neural network model is constructed to decouple chemical oxygen demand, ammonia nitrogen, total phosphorus and water toxicity indexes from the spectral signals, and multi-parameter parallel inversion is achieved; and based on the inversion index and the spectral dynamic trend, the dosage is calculated through an intelligent decision-making algorithm, and accurate dosing of the medicament is driven. According to the invention, through fusion of full spectrum scanning and deep learning, high-precision anti-interference water quality perception is realized, potential risks can be identified and preventive intervention can be carried out, and the intelligent level and economical efficiency of dosing control are improved.

The invention discloses an LLM (Logical Language Modelica) domain method for Modelica intelligent modeling optimization, and belongs to the field of computer-aided modeling. Structured information is converted and extracted by collecting field data of the new energy automobile; then, based on the RAG technology, intelligent blocking and vectorization processing is carried out on the structured information to form a structured knowledge base, and then a recall test is carried out by calculating a comprehensive weighted score to judge whether the structured knowledge base is available or not; then, the LLM is integrated into an AI-Agent framework, an AI-Agent is formed, and LLM parameters are configured; integrating the structured knowledge base which passes the test into the AI-Agent by utilizing an API (Application Program Interface) and an access protocol; and meanwhile, a specialized cue word template is designed and integrated into the AI-Agent, and a Modelica code generation template and related constraints are standardized. And finally, the user asks a question to the AI-Agent, the LLM works according to a specialized cue word instruction, an API interface is called to access the knowledge base, and Modelica codes which conform to language specifications and can be operated by the user are automatically output through the LLM. According to the invention, end-to-end conversion from unstructured input to high-fidelity model output is realized.

The embodiment of the invention provides a multi-modal data retrieval method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a natural language problem of a user, carrying out the intention understanding of the natural language problem, and obtaining the query intention of the natural language problem; performing retrieval path selection on the query intention, and determining at least one target modal type matched with the natural language question; the natural language question is distributed to vector databases corresponding to the target modal type to be retrieved, and candidate multi-modal retrieval results of the natural language question are obtained; and verifying the candidate multi-modal retrieval result according to a pre-constructed multi-modal business knowledge graph to obtain a target multi-modal retrieval result of the natural language problem. By utilizing the method, a collaborative mechanism of semantic comprehension, routing decision and knowledge enhancement is introduced, so that the cross-modal semantic comprehension capability and the information retrieval performance are remarkably improved.

The invention relates to a digital non-abandoned rural culture display and interaction method and device based on a virtual reality technology, and a medium, and the method comprises the steps: obtaining multi-modal data, carrying out the time-space alignment and feature extraction, and obtaining an action track feature and a time-space correlation feature; generating a fusion feature matrix and constructing a virtual display scene; integrating a dynamic narrative engine in the virtual display scene, and constructing a non-abandoned knowledge graph; interactive behavior information and physiological feedback information are obtained in real time, semantic retrieval and path reasoning are carried out, and a response strategy set is obtained; executing the response strategy set; in conclusion, by obtaining the multi-modal data, carrying out space-time alignment and feature extraction, constructing the virtual scene and the knowledge graph and responding to the user information in real time, an organic association network of non-perpetual cultural elements can be constructed, user interaction behaviors can be responded in real time, technical support is provided for display, interaction and inheritance of non-perpetual cultural, and user experience is improved. And the intelligence and the reliability are improved.

The invention provides an RPA, AI and LLM-based operation and maintenance method, device and equipment of a server product for realizing Agent and a storage medium, the operation and maintenance method is applied to an operation and maintenance tool platform, the operation and maintenance tool platform is configured with an operation and maintenance tool library, the operation and maintenance tool library comprises a plurality of operation and maintenance tools, each operation and maintenance tool is used for executing different operation and maintenance operations, and the operation and maintenance tools are used for executing different operation and maintenance operations. The method comprises the steps that configuration information of a target operation and maintenance object in a current operation environment is obtained, the target operation and maintenance object and a current operation and maintenance tool platform are deployed on the same server, and the configuration information comprises host configuration information, middleware configuration information and service configuration information; and calling a target operation and maintenance tool based on the configuration information and the operation and maintenance demand, so as to execute an operation and maintenance operation corresponding to the operation and maintenance demand through the target operation and maintenance tool. By adopting the technical scheme, the operation and maintenance efficiency of the server product is effectively improved.

The invention discloses a shift change information intelligent complementation and error early warning system based on a large language model, which belongs to the technical field of medical information processing and comprises a terminal acquisition module, an intelligent distribution complementation module and an early warning control module. Structure and semantic fingerprints are generated for the data table, a shift exchange asset meta model is constructed through fusion similarity clustering merging, and a semantic enhancement model is generated in combination with medical shift exchange specifications to complete information field completion; the intelligent distribution and completion module configures an optimal path with the minimum comprehensive overhead for the acquisition module by relying on a regional dynamic shift information network formed by double sub-networks; the early warning control module is combined with a large language model semantic analysis and rule engine, monitors an acquisition track and identifies information abnormity to execute error early warning, and an early warning result is fed back to the intelligent distribution complementation module, so that dynamic adjustment of an optimal path is realized, and the integrity, accuracy and acquisition efficiency of medical shift information are improved.

The invention discloses a remote data management platform for security operation and maintenance service, and belongs to the technical field of computer network security and data operation and maintenance management. The platform comprises a data acquisition module, an access control module, a remote operation and maintenance control module, a data isolation and encryption module, a security auditing and tracing module, an intelligent risk identification module, a strategy decision engine and a visual management interface module. The system adopts a layered deployment architecture, and realizes multi-layer protection, dynamic strategy adjustment and traceable auditing of the whole remote operation and maintenance process through encryption transmission, block chain type log chain, deep learning risk identification and knowledge graph strategy optimization. The platform has the functions of multi-factor authentication, log chain tampering prevention, intelligent risk early warning and strategy self-learning, can effectively prevent unauthorized access and data leakage, improves the safety, intelligence and verifiability of remote operation and maintenance, and is suitable for multi-scene safety operation and maintenance management of medical treatment, energy, government affairs, industrial control and the like.

The invention belongs to the technical field of fluid braking equipment, and particularly relates to a safety limiting device for a pull rope oil cylinder, which comprises a fixed frame, a sliding base and a hydraulic oil cylinder, the device further comprises a stable transmission mechanism. On one hand, in the stretching and retracting process of the hydraulic oil cylinder, the sliding base is driven to move in the mode that the fixed pulley pushes the transmission steel cable, and in the moving process, due to the fact that the fixed pulley and the transmission steel cable are symmetrically distributed on the upper side and the lower side of the hydraulic oil cylinder, tension of the transmission steel cable on a connecting piece is more balanced; on the other hand, due to the arrangement of the fixed pulley and the sliding base, under the condition that the stroke of the sliding base is fixed, the stroke of the hydraulic oil cylinder is halved, the requirement for the rigidity of the hydraulic oil cylinder is lowered, and the bending probability of the hydraulic oil cylinder is lowered; the stability of the hydraulic oil cylinder for driving the sliding base to move is further enhanced.

This application belongs to the field of semiconductor processing technology, specifically relating to a backlight reflective layer printing device and its application. This application effectively controls the vibration generated during the printing process by optimizing the mechanical structure and position design of the frame, support plate device, and multi-axis spindle, reducing the deviation between the actual operating path and the planned path of the piezoelectric jet valve. This significantly improves the stability of the piezoelectric jet valve operation and the printing accuracy. Furthermore, this application, by setting up a micro-adjustment device, a positioning system, an inkjet calibration system, and a needle alignment device, and utilizing their coordinated relationship, can precisely correct printing parameters such as the jetting position or jetting volume of the piezoelectric jet valve. Therefore, based on the aforementioned stable printer body structure, the coating quality of the backlight reflective layer obtained by piezoelectric jet printing will be further improved. Thus, the backlight reflective layer prepared using this invention has better thickness uniformity and a better reflective effect.

A device for measuring in-situ drilling rock hardness based on a high-pressure water pressure head comprises a hydraulic power system, a data acquisition system, a test probe and a push rod, the front end of the push rod is connected with the rear end of the test probe; the hydraulic power system comprises a manual hydraulic plunger pump; the manual hydraulic plunger pump is connected with the test probe through a reversing three-way valve; the data acquisition system comprises a data recorder, a displacement sensor and a pressure sensor, the displacement sensor and the pressure sensor are arranged on the manual hydraulic plunger pump, and the displacement sensor and the pressure sensor are connected with the data recorder through a signal receiver. The device is simple in structure, convenient to operate and capable of measuring the rock strength of different drill holes, different depths and different point positions so as to obtain the distribution condition of the roadway rock strength, the measuring result is close to the on-site rock mass, a water medium is used for pressure transmission, the measuring process is simple, convenient, environment-friendly and safe, errors in the processes of sampling, processing and the like are avoided, and the working efficiency is improved. And the measurement cost is reduced.

The utility model discloses a voice control oxygenation pump relates to oxygenation pump technical field, including the casing and set up in the casing, the air pumping assembly includes the air drum subassembly and is used for driving the air drum subassembly to move to produce the electromagnetic drive subassembly of oxygen, is equipped with the circuit board above the air pumping subassembly, and the circuit board is equipped with the air drum subassembly and the electromagnetic drive subassembly. The circuit board is integrated with a control unit, a voice recognition module used for converting voice into electric signals and a wireless communication module used for communicating with external equipment, the control unit comprises a microcontroller and a driving circuit, and the microcontroller outputs control signals to the electromagnetic driving assembly through the driving circuit. One side of the circuit board is electrically connected with a power supply unit, and the surface of the shell is provided with a display unit and a control adjusting part which are electrically connected with the circuit board. According to the oxygen increasing pump, the voice control structure is additionally arranged on the oxygen increasing pump, so that a user can conveniently operate the oxygen increasing pump through voice instructions, the use convenience of the user is improved, and the use experience of the user is greatly improved.

This invention relates to the field of resource and environmental technology, specifically to a CFD simulation method for detecting marine foreign objects based on muon imaging. The method includes: collecting muon flux and scattering angle data by deploying a three-dimensional detection network on the sea surface and seabed; inverting the three-dimensional density field of the target sea area by combining environmental parameters to identify density anomaly regions; constructing a CFD three-dimensional flow field simulation model based on marine geographic and topographic data, using the inverted density field as initial and boundary conditions, and setting fluid parameters and turbulence models; initiating CFD simulation to simulate fluid transport and foreign object diffusion processes, and iteratively coupling the measured muon density field with the simulated density field until the deviation converges, achieving precise synchronization between the density field and the flow field; fusing density anomaly characteristics and flow field distribution to accurately locate the foreign object, identify its type, predict its trajectory and evolution trend, and generate early warning information. This invention achieves efficient, accurate detection and dynamic monitoring of marine foreign objects.

This invention discloses a data synchronization method and system based on front-end orchestration management, belonging to the field of data synchronization. The method includes the following steps: selecting the data table and field information to be monitored through the front-end interface, generating configuration information, and orchestrating the synchronization process logic according to business needs; storing the configuration information in real time to the configuration center to generate real-time monitoring rules; capturing changed data of the data table and field information, encapsulating it into standard data units and sending it to a message queue; preprocessing the standard data units in the message queue; the synchronization adaptation module matching the corresponding driver type according to the synchronization process logic to generate a synchronization instruction set, and executing data synchronization operations based on the preprocessing results; performing full-link monitoring of the synchronization process, and performing task lifecycle management based on the lifecycle rules configured on the front end. This invention improves synchronization efficiency through dynamic threshold verification, multi-source field fusion weighting, and dynamic encryption strategies, and the full-link monitoring further enhances front-end manageability.

The application relates to a multi-scene emergency disposal decision system in traffic safety management. The system comprises a dynamic decision library module, an accident perception positioning module, an intelligent decision matching module and a multi-department linkage scheduling module. The system can analyze historical accident cases through structuring, build a knowledge graph and a simulation model, generate a dynamic fusion decision knowledge base, obtain multi-source heterogeneous perception data in real time, perform abnormal analysis and directional analysis, generate structured accident confirmation information, retrieve matching cases and strategy packages in the knowledge base, generate and optimize disposal schemes, distribute the deconstructed disposal tasks to emergency departments, monitor the execution process in real time, generate a disposal complete data package and update the knowledge base. The method can significantly improve the efficiency and accuracy of emergency disposal in traffic safety management by building a dynamic fusion decision knowledge base and combining real-time data-driven simulation optimization, and can enhance multi-scene adaptability and multi-department collaboration ability.

The invention discloses a bolt pre-tightening force monitoring system and method based on ultrasonic waves. The system comprises an ultrasonic probe, a data acquisition and processing analyzer and the like, a probe array is uniformly mounted on the surface of a bolt, an improved depth residual network is arranged in the data acquisition and processing analyzer and can process a flight time difference signal, and an audible and visual alarm can trigger a three-level alarm according to pre-tightening force deviation. The data remote transmission device provides data for the digital twin system, the display unit displays a pre-tightening force distribution atlas in real time, and a digital twin system platform generates a three-dimensional visual dynamic model and the like. According to the method, bolt pre-tightening force monitoring is achieved through the system. The system is high in measurement precision, convenient to install, capable of achieving real-time early warning and intelligent operation and maintenance, and suitable for various industrial fields.

This invention relates to the field of autonomous driving technology, specifically providing a vehicle queuing control method, computer equipment, storage medium, and vehicle, aiming to solve the problem of intelligent vehicle queuing control. To this end, the method provided by this invention includes determining a virtual queuing area located on the road where the queuing destination is located, controlling the vehicle to drive towards the virtual queuing area to wait in the queue, and dynamically controlling the vehicle to follow and / or detour around the vehicle in front based on the vehicle's real-time queuing position and the stopping direction corresponding to the virtual queuing area, until reaching the queuing destination. Through the above method, autonomous driving is achieved throughout the entire gradual approach to the queuing destination process, from determining the queuing area to following and / or detouring around the vehicle in front, until reaching the queuing destination, without requiring driver intervention, significantly improving the intelligence of vehicle queuing control.

This invention relates to a method and system for automated generation of TSN network configurations based on a reflective agent. The system comprises a network state perception and intent reflection module, a YANG model configuration parameter and structure decision module, and a YANG model intelligent generation module. The network state perception and intent reflection module is responsible for structurally perceiving network state and resource information. The YANG model configuration parameter and structure decision module integrates multi-source knowledge and contextual information, intelligently generating deployable TSN scheduling parameters and YANG configuration structures based on business needs. The YANG model intelligent generation module automatically generates the corresponding YANG configuration model based on the optimized results, performs syntax and semantic verification, and then distributes it to the target device, achieving automated deployment of network configurations. This invention significantly improves the intelligence level and deployment automation capability of TSN network configuration by introducing reflective reasoning and feedback optimization techniques.

This invention discloses an intelligent unmanned rice transplanter and its tray-laying method. The invention interacts with a rice transplanter via a GPS navigation module to plan the chassis's movement path. A second positioning camera tracks the rice crop rows, field ridges, and the rice transplanter, and performs obstacle avoidance, thus achieving autonomous movement. The invention uses a material-grabbing device to grab and release the seedling trays, and a three-axis moving device drives the material-grabbing device to place the seedling trays on a pallet, thus realizing the tray-laying operation. Before releasing the seedling trays, the positioning camera tracks the seedling trays grabbed by the material-grabbing device and the rice transplanter's frame, ensuring alignment between the seedling trays and the frame, improving the accuracy of the material-grabbing device's tray-laying. This invention enables unmanned tray-laying for rice transplanters, effectively improving the intelligence of rice transplanter tray replenishment, reducing labor costs, and improving overall efficiency.

This invention discloses a multi-functional integrated structure for a washing machine, including an air collection box module, a defoaming module, and a spraying module. The air collection box module has several non-intersecting air inlet and exhaust chambers. An air inlet bellows is connected to each air inlet chamber, and an exhaust bellows is connected to each exhaust chamber. An NTC sensing sensor is integrated into the exhaust bellows. The spraying module includes a spray pipe and a spray nozzle integrated into the air collection box module, with the spray pipe inserted into the spray nozzle. The defoaming module includes a defoaming sponge and a filter sponge. When the NTC sensing sensor detects foam passing through the exhaust bellows, water is introduced into the spray pipe, simultaneously cooperating with the defoaming module to perform spray defoaming. This invention uses the air collection box module as its core carrier, integrating air intake and exhaust, spray defoaming, and blue oxygen washing and care functions into one unit for the first time. This reduces redundant components, saves internal space, minimizes the impact on overall machine structure stacking, and facilitates compatibility with different models.

The utility model relates to the technical field of modeling toys, in particular to a modeling toy capable of swinging leftwards and rightwards, which comprises a front shell and a rear shell, a machine core is arranged in the front shell and the rear shell, a machine core fixing part upper shell is sleeved at the upper end of the machine core, and a machine core fixing part bottom shell is sleeved at the lower end of the machine core. A driving gear is rotationally connected to the outer surface of the machine core fixing piece upper shell, a screw is connected between the driving gear and the machine core fixing piece upper shell, a machine core protection piece ratchet wheel is embedded in the other side of the machine core, a driving piece is fixed to the outer surface of the machine core protection piece ratchet wheel, and through mutual transmission between the driving gear and the driving gear, the machine core protection piece ratchet wheel is driven to rotate. According to the utility model, the function of swinging the shell of the product is achieved by matching with the power output of the machine core, the modeling can be spliced and expanded by matching with the assembling column outside the product, the autonomy of children is increased in the playing process, the intelligence of the children is promoted, the children feel more fun, and the diversification of the modeling is realized.

The invention provides a manufacturing decision system-oriented modular functional architecture and a collaborative mechanism thereof, and the structural organization and reusable collaboration of a manufacturing decision process are realized by constructing a multi-layer capability system, a functional module system and a standardized behavior interface. The architecture comprises a data interface module, a decision-making target module, a disturbance response module and a fusion decision-making module, and defines a data flow, a control flow and a trigger relationship among the modules. The system completes target expression, constraint analysis, disturbance identification and collaborative decision generation through standardized access of multi-source data such as orders, productivity, materials and processes, and forms an interpretable and executable decision link. According to the invention, modularization, interpretability and intelligent cooperation of the manufacturing decision-making system are realized, and multi-scene and multi-industry manufacturing decision-making application is supported.

The application discloses a kind of super surface regulation and control device and method based on physical constraint generation model, it is related to electromagnetic super surface scattering regulation and control technical field.Method includes obtaining super surface array and forms different coding array structure, i.e.RCS response;Obtain simulation dataset and calculation dataset, establish including prediction model, identification model and generation model physical constraint depth condition generation model, utilize calculation dataset and simulation dataset to construct formula-simulation residual error network expansion dataset, pre-training is carried out to prediction model, and simulation dataset is used to the joint training of prediction model, identification model and generation model;Input target RCS condition, output optimal super surface unit arrangement scheme, realize the quick simulation and reconstruction of RCS.The application can reduce electromagnetic simulation workload, solve the problem that one-to-many mapping in traditional neural network is difficult to accurately train, and improve the intelligence and stability of super surface simulation RCS in combination with mechanical regulation.

The invention discloses an RPA-based power dispatching service auxiliary method, system and device, and a medium. The method comprises the following steps: logging in a power dispatching OMS system by using an RPA automation technology; interactively triggering an operation management function through a target control, and sequentially executing UI element clicking, interface component activation operation and event distribution to a CLOW node to jump to a scheduling operation page; obtaining the number of executed work orders by adopting a selenium technology, triggering work order operation instructions in sequence, and extracting planned operation time, operation content and advance notice unit names in the work orders; on the basis of the extracted work order information, target grouping check and message content input and sending including operation content, time and ticket changing signature are completed in a message management module; generating massive controlled training sample sets through an RPA model, and performing parallel training on the sample sets by adopting a deep reinforcement learning algorithm; and carrying out adaptive process design based on a training result, and adjusting and perfecting a business process through iterative development testing and according to a deployment environment.

A pulley and its control method. This invention belongs to the field of power transmission construction technology and discloses a pulley, including a pulley body, a guide wheel assembly, a limiting assembly, an image recognition assembly, and a controller. The guide wheel assembly is disposed on the pulley body and includes at least one first guide wheel with an annular first guide groove. The limiting assembly is disposed on the pulley body and above the first guide wheel. The limiting assembly includes a limiting state that cooperates with the first guide wheel to form a first limiting space to limit the conductor and a retracted state that moves away from the first guide wheel. The image recognition assembly is disposed on the pulley body and above the first guide wheel and is used to identify the positions of the conductor and the first guide wheel. The controller is electrically connected to the image recognition assembly and the limiting assembly and is used to control the limiting assembly to switch between the limiting state and the retracted state. The pulley of this invention can monitor the dynamic deviation of the conductor in real time and interfere with the conductor's operating state.

The utility model discloses an automatic smoke purifying and collecting device for metal processing and welding, which comprises a machine body, and a decomposition bin, an adsorption bin and a filtering bin which are uniformly arranged in the machine body through partition plates, and further comprises a smoke collecting component, the smoke collecting assembly comprises an L-shaped pipeline installed on the top of the machine body through a connecting base and a smoke sucking cover arranged at the bottom of one end of the L-shaped pipeline through a telescopic corrugated pipe. The filter box is arranged in the filter bin and below the exhaust hood; the adsorption box is arranged in the adsorption bin below the filtering bin; and the catalysis box is arranged in the decomposition bin below the adsorption bin. Through the arrangement of the L-shaped pipeline and the smoke sucking cover in the smoke collecting assembly, smoke generated in the welding process can be effectively sucked in, and diffusion of the smoke in the working environment is avoided. The servo motor drives the L-shaped pipeline to rotate, and flexible adjustment of the smoke suction hood is achieved through meshing of the driving gear and the gear ring.

The application provides a dynamic photovoltaic louver system and a control method thereof, and the system comprises a first photovoltaic louver assembly, a second photovoltaic louver assembly, a sky image acquisition module, a control module and a driving module; the control module can calculate according to the acquired sky image, and select a louver angle according to user demand and the calculation result; and a motor makes the first photovoltaic louver assembly and the second photovoltaic louver assembly realize angle adjustment according to the instruction issued by the control module. The dynamic photovoltaic louver system and the control method thereof provided by the application realize the acquisition, processing and analysis calculation of the sky image, obtain the relationship between the louver angle, the power generation, the glare occurrence rate, the field of view rate and the illumination value, improve the calculation precision and the calculation efficiency; the louver is divided into two parts, the first photovoltaic louver assembly and the second photovoltaic louver assembly realize independent control, respectively meet the lighting demand and the power generation demand, and improve the automation and the intelligent degree of the dynamic photovoltaic louver system.