116 results about "Closed loop design" patented technology

According to the brittleness baking control process based on the three-section variable-temperature hot air, the hot air flow field and material moisture migration are accurately regulated and controlled, and integrated control over brittleness structure shaping and energy-saving baking of products such as pet chews and jerky is achieved. A hardware architecture surrounds a'sensing-decision-execution 'closed-loop design, each part is tightly coupled with a central controller through an industrial bus, a dual-objective optimization system of brittleness formation and energy consumption control is constructed according to the high-protein and multi-fiber material characteristics of pet food, and the energy consumption of the pet food is controlled on the premise of ensuring that the brittleness index C of the pet food is greater than or equal to 65. Through a heat recovery unit, intermittent countercurrent air supply and LSTM feedforward control, the comprehensive energy consumption is reduced compared with the traditional process, and the unit brittleness energy consumption is reduced.

The invention discloses a multi-source heterogeneous data fusion-based garment production place intelligent identification and tracing method. According to the method, deep mining of the data value is realized through multi-link collaborative linkage. In the aspect of data processing, multi-dimensional information is collected from a source, isomerism is eliminated through standardized preprocessing, and then knowledge graph mining hidden association is constructed by means of a graph neural network, so that dispersed data form an organic whole. A dynamic weighted aggregation mechanism under a federated learning architecture enables each production node to cooperatively train a model on the premise of not sharing original data, data privacy is protected, the learning ability of the model for key features is improved, and a feature importance and data volume two-factor weighting strategy further ensures the reasonability of model parameter aggregation. The production place identification result is closer to the actual production scene, the closed-loop design of the tracing system forms a complete improved loop from data input to decision output to system upgrading, and the whole method has sustainable evolution ability in actual application.

The embodiment of the invention provides a new energy inspection robot node positioning method and system, and the method comprises the steps: firstly carrying out the dual confidence degree dynamic evaluation of GPS and SLAM data, and quantifying the respective reliability in real time; and then, inputting the confidence into a fusion state machine decision engine, so that the fusion state machine decision engine can intelligently decide that the system should be in an optimal fusion state such as GPS leading, pure SLAM or GPS recovery transition. Finally, the state decision directly guides the adaptive adjustment of the measurement covariance matrix in the extended Kalman filtering, thereby dynamically adjusting the weights of different sensors at the algorithm level. According to the closed-loop design from state perception to strategy decision and then to parameter self-adaption, positioning impact caused by GPS signal sudden change can be effectively restrained, smooth transition during signal recovery is achieved, and therefore it is guaranteed that a positioning result has high precision, high continuity and high accuracy under various working conditions.

The invention discloses a forestry ground multi-robot cooperative full-coverage path planning method and device based on a diffusion model, electronic equipment and a storage medium. The method comprises the following steps: constructing an enhanced environment model containing passing cost and reachability probability through multi-source sensor fusion; based on the model, generating a global path probability field with coherence and environmental adaptability by using a diffusion model; further realizing multi-robot self-adaptive task region division through a path flow field gradient; a local diffusion replanning mechanism is introduced for dynamic obstacles to carry out rapid path repair; and performing multi-objective optimization on the path in combination with a robot center Euclidean symbol distance field, and outputting an executable path meeting safety, smoothness and kinematics constraints. According to the method, through closed-loop design of perception, modeling, generation, division, re-planning and optimization, high-coverage, high-collaboration and high-robustness autonomous inspection of multiple robots in a complex forest region environment is realized, and reliable technical support is provided for smart forestry.

The present application provides a kind of spontaneous combustion coal gangue aggregate concrete and the bonding slip test method of reinforcing steel, belong to building material performance test technical field, method includes: S1.existing test piece parameter and material characteristic actual measurement;S2.test equipment debugging and parameter setting;S3.loading test and original data acquisition;S4.based on the bonding slip data processing of fusion algorithm;S5.test result verification and analysis.The present application realizes the scientific quantification of spontaneous combustion coal gangue aggregate concrete and reinforcing steel bonding slip characteristics by closed-loop design and precision control, provides strong support for engineering application.

The invention provides a multi-mode collaborative freezing and fresh-keeping method and system based on aquatic product type identification, and the method comprises the steps: collecting multi-source data of aquatic products in a sealed fresh-keeping cabin, recognizing the types of the aquatic products based on a deep learning algorithm according to the multi-source data, and generating a fresh-keeping control strategy containing environmental parameters; and regulating and controlling environmental parameters in the sealed fresh-keeping cabin according to the fresh-keeping control strategy. The system is composed of a sealed fresh-keeping cabin, a multi-source sensing module, an intelligent control module and a multi-mode execution module, and all the modules work cooperatively to achieve full-process automation from data collection to environment regulation and control. According to the method, through the closed-loop design of multi-source data acquisition, intelligent identification and dynamic regulation and control, the precision and intelligence of the fresh-keeping process are realized. The fresh-keeping effect is remarkably improved, the control precision is optimized, the energy consumption is reduced, and the user experience is improved.

The invention relates to the technical field of transportation, in particular to a workpiece transportation circulation type production line for an assembly workshop and a circulation method. A return line body; the transfer part is arranged at the end parts of the station side line body and the return line body; the transfer part is used for transferring a jig between the station side line body and the return line body so as to form a production line capable of circulating the jig; the transfer part comprises a base plate; the first driving assembly and the second driving assembly are arranged on the base plate in parallel. By means of the closed-loop design of the station side line body, the transfer part, the return line body, the transfer part and the station side line body, jigs can be reused in a circulating mode, spare jigs do not need to be additionally reserved, and only the basic operation number needs to be maintained; the transfer part drives the first transfer assembly and the second transfer assembly to form two sets of independent transfer channels through the first drive assembly and the second drive assembly correspondingly, and the first transfer assembly and the second transfer assembly do not depend on each other and can work synchronously.

This invention discloses a method for designing transmembrane regulatory proteins based on cueing strategies and generative models, belonging to the field of bioinformatics. It includes a target survey stage and a closed-loop design stage. In the target survey stage, a generative diffusion model is used to generate virtual probes targeting the membrane protein. A set of complex conformations is obtained by combining sequence design and structure prediction models, and binding hotspot regions are identified based on the spatial distribution density of the probes, overcoming the dependence on manually specified binding sites. In the closed-loop design stage, based on the identified hotspot regions, an initial backbone is generated using a generative diffusion model. A structure cueing strategy guides the sequence design and structure prediction models to perform closed-loop iterative optimization, generating sequences that selectively bind to the transmembrane domains of membrane proteins and regulate their functions. This invention achieves automated, function-guided design of transmembrane regulatory proteins, effectively expanding the range of designable targets and significantly improving the stability and functional specificity of the designed products in the membrane environment.

The invention discloses a multi-area linkage fresh air handling unit cooperative control system and method, and relates to the technical field of building environment control, and the auxiliary method comprises the specific steps that a multi-source data real-time collection module collects and transmits multiple types of data through distributed equipment; the data fusion processing module cleans and fuses the data to form a structured data set; the intelligent scene analysis and game modeling module identifies scenes, evaluates requirements, detects conflicts and quantifies utility values; the control mode decision module determines an optimal mode and parameters; the execution regulation and control module adjusts parameters, executes operation and feeds back data to form a closed loop; a multi-source data acquisition fusion framework is constructed, traditional limitation is broken through, an intelligent module automatically recognizes scenes, quantifies requirements, detects conflicts and optimizes resource allocation, meanwhile, full-process automation is achieved through closed-loop design, control economy is ensured through an algorithm, airflow interaction is optimized, energy consumption is reduced, energy efficiency and comfort are improved, and the method is suitable for large-scale popularization and application. And technical support is provided for efficient operation of green buildings.

This invention discloses an apparatus for preparing high specific surface area calcium hydroxide, comprising a lime premixing tank and a digestion reactor. The lime premixing tank contains a ribbon agitator connected to a stirring motor at the top of the tank. Steam is conveyed to the premixing tank via a Venturi mixer I. A powder distributor and baffles within the reactor ensure uniform material distribution and gas-solid separation. A closed-loop tail gas treatment system is employed, with a sawtooth distributor and spiral nozzles in the scrubbing tower providing efficient dust removal. Purified wastewater is recycled to Venturi mixer II via a booster pump for reuse. Water is atomized and replenished in the reaction zone via spiral nozzle II to enhance the three-phase reaction. The product settles via baffles and is discharged under control by a rotary valve, then collected after cooling by a screw conveyor. This invention, through a closed-loop design of premixing-steam conveying-tail water reuse-separation, achieves continuous production and efficient resource utilization, significantly improving the specific surface area and production efficiency of calcium hydroxide.

This invention discloses a closed-loop system for the storage, transportation, and hydrolysis hydrogen supply of metallic fuels, belonging to the field of hydrogen energy storage and transportation technology. This invention aims to solve the problems of high cost, infrastructure dependence, and lack of recyclability in existing hydrogen storage technologies. The system includes: a porous metallic fuel preparation unit for preparing standardized porous metallic fuel flakes from metal powder; a hydrolysis hydrogen supply device for containing the fuel flakes and controllingly circulating water to carry out the hydrolysis reaction, generating hydrogen and metal hydroxide; a metal hydroxide recovery unit for collecting the metal hydroxide; and a metal regeneration unit for converting the metal hydroxide into metal powder for return, or for purification and sale, with new powder purchased as a replacement. The fuel flakes are stacked or wound, with micron-level gaps between the layers, and a catalyst is added to accelerate the reaction. Through system integration and closed-loop design, this invention achieves efficient recycling of metallic fuels, low storage and transportation costs, and completely eliminates dependence on hydrogen refueling stations and hydrogen pipelines, providing a new path for large-scale, low-cost, and cross-regional deployment of hydrogen energy.

The invention relates to the technical field of energy data processing and artificial intelligence, and particularly discloses an AI-based energy data multi-source heterogeneous fusion method, system and equipment, and the method comprises the steps: screening a historical fusion error case, and judging a coupling reconstruction cause; dividing quantitative change / working condition reconstruction coupling reconstruction; determining a distribution offset comprehensive index critical value of offset reconstruction; pre-training a working condition reconstruction exclusive AI fusion model; the current fusion adaptation is adapted in real time and differentiated, fusion errors caused by coupling reconstruction are accurately recognized through closed-loop design of error screening, reconstruction classification, critical value determination, model pre-training and real-time adaptation, and a differentiated AI strategy is adopted for offset and working condition reconstruction, so that the accuracy of fusion is improved. The problems that in the prior art, dynamic changes of the coupling relation cannot be coped with, the fusion precision is low, and the stability is poor are solved, the precision and robustness of energy data multi-source heterogeneous fusion are remarkably improved, and the method adapts to complex and changeable energy system working conditions.

The invention belongs to the technical field of grain processing, particularly relates to a continuous high-temperature processing grain deep processing technology and equipment thereof, and aims to overcome the defects of inaccurate temperature control, non-linkage synchronization of cooking and stir-frying operations, disjunction of grinding and purification links, process dispersion, insufficient equipment connection and the like in traditional grain processing. The process comprises the steps of grading screening, high-pressure spraying and cleaning, precise steam cooking, high stir-frying, multi-stage grinding and polishing, secondary purification and the like. The equipment comprises a special grading and screening device, a high-pressure spraying and cleaning device, a precise temperature control steam cooking device, a constant-temperature stir-frying device, a secondary grinding device, an airflow polishing device, a precise screening device, a CCD color sorting device and the like. Through the design of temperature gradient control, multi-stage grinding and polishing and a whole-process closed loop, the uniformity and taste of finished product particles can be improved, impurity residues can be reduced, the processing time can be shortened, the labor cost can be reduced, meanwhile, the multi-stage grinding and polishing machine can adapt to various cereal raw materials, and the technical problem of a traditional processing mode is solved.

The application relates to the technical field of blood protein detection, in particular to a blood protein detection kit for early diagnosis of new-onset diabetes and pancreatic cancer, which comprises a kit and test tubes, a water tank is arranged on the upper portion of the kit, a plurality of guide cylinders are arranged in the water tank, the top end of the guide cylinder is provided with a boss mounted on the top wall of the kit, the boss is in communication with the inside of the guide cylinder, and the outer surface of the test tube is provided with flexible spiral leaves and is inserted into the boss and the guide cylinder. Through five core advantages of accurate temperature control, efficient mixed coating, intelligent pollution washing, closed-loop gas path design and structure optimization, the stability, efficiency, precision and convenience of detection are comprehensively improved; the automatic design reduces human errors, the environment-friendly closed-loop design takes into account practicability and safety, and is suitable for the precise detection requirements of early diagnosis of diabetes and pancreatic cancer.

The application discloses a co-entropy ceramic protective coating sintering temperature and aerodynamic thermal load cooperative control system and relates to the technical field of sintering temperature control. The system comprises an information acquisition module: acquiring previous sintering information, wherein the previous sintering information comprises sintering temperature and performance results, and the performance results are the performance of aerodynamic thermal load. The application considers coating material and structure information and environmental information to formulate a reference directory under different basic information in the whole process, and the sintering temperature is regulated according to the aerodynamic thermal load of the coating material structure and environmental manufacturing demand, and then the density, interface bonding and residual stress distribution of the coating are realized through the controllable sintering temperature curve at the preparation end, so that the aerodynamic thermal load of the coating in use is ensured, the sintering temperature is designed and optimized, the response characteristics of the coating to the aerodynamic thermal load in use are within the user demand, and the closed-loop design of optimizing the response of the service end by controlling the manufacturing end is embodied.

The present application relates to the technical fields of semiconductor automation testing, in particular to a PMU and reference voltage source dual-function circuit based on ATE testing, comprising an AD5522 chip, a function switching module, a multi-DUT expansion module, a precision optimization module and a control module; the whole adopts single chip function multiplexing design, solves the pain point of large PCB space occupation, achieves the effect of significant space reduction, adopts single PMU multi-DUT expansion design, solves the pain point of high DUT test cost, achieves the effect of significant test cost reduction, adopts Kelvin four-wire and feedback closed loop design, solves the problem of low reference voltage precision, adopts relay switching and programming control design, solves the problem of poor function flexibility.

The invention relates to the technical field of body-equipped robots, in particular to a body-equipped intelligent mechanical arm handicapped assisting system and method.The method comprises the steps that electromyographic signals are collected in real time, electromyographic features are extracted, and the fatigue degree score and the future trend of a user are predicted through a layered deep learning model; based on the prediction result, establishing an adaptive compensation strategy, and dynamically amplifying the original control signal attenuated due to fatigue; continuously evaluating the signal-to-noise ratio and the stability of the compensated signal; if the effect is not good, triggering parameter fine tuning; and after the user state is recovered and the control performance reaches the standard, starting a progressive exit program, and smoothly cancelling compensation. According to the method, the complete closed-loop design of perception-prediction-compensation-evaluation is constructed, the accuracy and stability during control over the mechanical arm with the body are effectively improved, and the handicapped user can remarkably adapt to control over the mechanical arm with the body.

The invention discloses an intelligent driving camera calibration error analysis and calibration system based on a simulation system, and relates to the technical field of intelligent driving, the intelligent driving camera calibration error analysis and calibration system comprises six core modules, and a calibration parameter module stores and manages calibration parameters and associated information; the driving key point monitoring and triggering module collects multi-source data and marks an abnormal time window; the simulation module generates ideal pairing training data with deviation distortion; the AI neural network module is pre-trained and activated and then outputs a calibration change value, that is, the computing power is released; the hierarchical calibration decision and execution module judges a risk level and executes a corresponding calibration strategy; the cloud data module processes real vehicle data to optimize simulation parameters and an AI model. The system improves the calibration precision and reliability, reduces the resource consumption, guarantees the intelligent driving safety, and meets the full-life-cycle calibration demands through the closed-loop design of vehicle-end independent real-time calibration and cloud iterative optimization.

The invention relates to a method, a device and equipment for data synchronization between heterogeneous systems. The method comprises the steps that a data source and a target system are configured, a mapping relation table between source data fields in the data source and UI elements of the target system is constructed, and a multi-dimensional verification rule and an exception handling decision are defined; monitoring a data change event in the data source, extracting source data related to the data change event, and writing the source data into the UI element corresponding to the target system according to the mapping relation table to obtain synchronous data; verifying the synchronous data according to a multi-dimensional verification rule to obtain a verification result; and judging whether the verification result is verification failure or not, and if yes, executing multi-dimensional early warning and selecting a disposal process according to an exception handling decision. According to the method, through closed-loop design of execution and verification, the accuracy of data synchronization can be effectively ensured; the configurable exception handling decision can effectively deal with complex business scenes and unforeseen circumstances, and the continuity of the data synchronization process is ensured.

The invention provides a rice packaging method and system with a damp-proof function. Rice is subjected to damp-proof pretreatment to reduce the initial moisture content; a composite damp-proof layer with double functions of moisture absorption and blocking is arranged on the inner side of the package body; the pretreated rice is put into a packaging body and sealed and packaged to form a closed space; a humidity monitoring unit is arranged in the closed space to collect humidity data in real time; and starting a moisture-proof regulation and control mechanism according to the humidity data, and maintaining the humidity in the space within a preset range. According to the scheme, through the closed-loop design of pretreatment, composite moisture prevention, sealing, monitoring and regulation, active moisture prevention and dynamic humidity regulation in the rice storage process are achieved, the quality guarantee period of rice is effectively prolonged, the taste quality of the rice is kept, and the technical problems that traditional packaging is poor in moisture prevention effect and cannot adapt to environment humidity changes are solved.

The invention discloses a new energy unit-station level frequency modulation parameter measurement and identification method based on frequency response analysis, and the method comprises the steps: enabling an obtained model to give consideration to the frequency modulation control precision and the adaptability to a plurality of operation conditions through constructing a closed-loop design of offline modeling-online correction-regular updating; a systematic technical path is provided for improving the frequency modulation performance of a new energy station, so that the frequency safety of a novel power system is guaranteed; comprising the following steps: off-line constructing a frequency modulation model of a first-layer unit level of a new energy station through principle analysis; constructing a second-layer station-level frequency modulation coordination control model of the new energy station; establishing a multi-dimensional frequency response deviation quantitative index system; designing a frequency modulation parameter correction optimization model in combination with measurement data of a field frequency test or an online frequency response event to obtain online measurement and discrimination parameters of the new energy unit-field station level frequency modulation model; and a regular updating mechanism is established, and frequency modulation parameters are re-identified and corrected.

This invention discloses a self-moving device, comprising: a cutting component for cutting vegetation; a main body for supporting the cutting component; and a walking system for moving the main body. The walking system includes at least: walking wheels; a hub motor integrated within the walking wheels; and a control circuit for controlling the operation of the hub motor. The control circuit includes: a drive circuit comprising multiple switching elements for driving the hub motor; a detection circuit for acquiring the operating parameters of the hub motor; and a controller connected to the drive circuit, which outputs control signals based on the operating parameters to change the conduction state of the switching elements and control the hub motor speed to be greater than or equal to 8 rpm. By integrating the motor into the hub and implementing a low-speed control closed-loop design for the hub motor, the overall size and weight of the device are reduced, the low-speed control strategy is simplified, and the speed adjustment accuracy is high.

The application relates to the technical field of aero-engines and discloses an automatic design method for a turbine blade of an aero-engine, which comprises the following steps: analyzing design requirements through a language large model, combining retrieval enhancement technology with a turbine blade expert knowledge base, utilizing step-by-step reasoning templates to perform cross-disciplinary coupling verification, generating and optimizing a component design scheme and parameters, subsequently calling a parameterized modeling and an AI simulation agent model to perform multi-physical field prediction, comparing the result with requirements, outputting a design if the requirements are met, and otherwise automatically iteratively adjusting parameters until the requirements are met or the maximum number of iterations is reached. The application can realize end-to-end intelligent closed-loop design from design requirements to design results, reduce manual intervention, quickly generate a design scheme meeting performance requirements, improve design efficiency and reduce design cost, and improve design quality.

This invention discloses a method and system for optimizing the design of photovoltaic support structures, relating to the field of new energy technology. The method includes: constructing a parametric three-dimensional geometric model; generating multi-condition load combinations considering unsteady wind fields, asymmetric snow accumulation, and ground motion; performing automated finite element simulation; conducting multi-constraint specification verification based on national standards and user-defined thresholds; implementing multi-objective collaborative optimization with steel consumption, manufacturing cost, and construction convenience as objectives using an improved algorithm; and establishing a closed-loop feedback verification mechanism for automatic iteration until convergence. This invention aims to solve the problems of fragmented design processes, disconnect between optimization and verification, and difficulty in balancing safety and economy under multiple conditions in existing technologies. It achieves integrated closed-loop design throughout the entire process, significantly improving structural safety, material economy, and adaptability to complex terrain.

The invention relates to the field of environment regulation and control, and discloses an air purification system and method, computer equipment and a readable storage medium. The system comprises a visual sensor used for collecting image information of doors and windows; the AI identification module is used for processing the image information collected by the visual sensor and identifying the opening and closing states of doors and windows to obtain door and window state identification results; the air volume control module is used for generating a control instruction according to the door and window state recognition result output by the AI recognition module and sending the control instruction to the multidirectional air outlet module, and the control instruction is used for controlling the air outlet direction and the air outlet height of the multidirectional air outlet module; and the multidirectional air outlet module is used for outputting purified clean air according to the control instruction. By means of the closed-loop design of the purifier body, the visual sensor, the AI recognition module, the air volume control module and the multi-direction air outlet module, the purification efficiency in the multi-communication room scene is remarkably improved, energy is saved, and the function blank of an existing air purifier in the scene is filled.

The invention discloses an intelligent electromagnetic balance energy-saving system, and relates to the technical field of intelligent power grids. According to the system, power grid operation data are collected and preprocessed into per unit values, equivalent reactance and the total reactive power vacancy of the system are calculated according to the per unit values, then the rated capacity of a reactive compensation device is combined, the reactive power vacancy of an inverter is calculated, inverter operation data and current collection line parameters are obtained, and first reactive power and second reactive power are obtained through preset operation; and finally, the bus voltage and the system power factor of the transformer after control are collected again, and an adjusting instruction is judged and generated according to the bus voltage and the system power factor. Reactive power compensation of the inverter is realized, output of the inverter is controlled to be optimal, influence of electromagnetism on a power grid is reduced, stability of voltage and power factors of the power grid is ensured, a control strategy can be automatically adjusted according to closed-loop design, and stability of the power grid and operation efficiency of the inverter are improved.

The invention belongs to the technical field of power system load prediction, and particularly relates to a regional long-range and recent-mid-term comprehensive load prediction method, which comprises the following specific steps: widely collecting various load-related data including but not limited to historical power load data, economic data, meteorological data and policy documents, and carrying out load prediction for long-range prediction; social data such as macroeconomic development, long-term energy strategy policy information, population growth trend and urbanization process are focused on; for recent-middle-stage prediction, real-time economic fluctuation data tracking, short-term weather forecast and recent industrial policy adjustment details, uncontrollable interference is converted into computable variables through a closed-loop design of uncertainty factor quantification, time-phased model adaptation, data full-life-cycle treatment and dynamic updating iteration, and therefore the accuracy and the reliability of the system are improved. Data defects are made up through technical means, and finally high-precision and anti-interference prediction of long-range and near-and-medium-term loads is achieved.

The invention discloses a panel interchangeability design method and device based on dimension chain statistics. The method comprises the following steps: determining closed ring design parameters of a to-be-exchanged panel and a corresponding adjacent panel, and a plurality of composition ring tolerance parameters; constructing a panel interchangeability judgment model according to the closed ring design parameters and the plurality of component ring tolerance parameters; according to a judgment result output by the panel interchangeability judgment model, whether the current tolerance configuration meets the interchangeability assembly clearance requirement or not is determined; and if not, generating a design adjustment suggestion according to a judgment result. According to the method, the dimension chain calculation of the panel is synthesized, the panel interchangeability judgment model is constructed according to the closed ring design parameters and the component ring tolerance parameters determined by the user during design, the model compares the closed ring obtained by the component ring with the input closed ring, the feasibility of panel interchangeability is determined or an adjustment suggestion is given, and the interchangeability of the panel is improved. The tolerance coordination between the interchanging part and the reference part can be quickly completed, and the interchangeability coordination problem of panel type components is optimized.

This invention discloses a method, device, and computer storage medium for predicting and actively controlling the deformation of support structures based on computational learning. It relates to the fields of geotechnical engineering and underground structure safety control technology. This method, based on the theory of support structure displacement calculation and combined with a theoretical calculation model, achieves accurate prediction of the horizontal displacement of the support structure, completes structural displacement calculation and dangerous area identification, and outputs deformation curves and potential risk locations. It employs a Bayesian optimization framework for automatic parameter optimization, initializes the prior distribution and sets the objective function, uses Gaussian process modeling to iteratively calculate the acquisition function, and uses a surrogate model to quickly predict performance to update the model. Finally, it outputs the optimal parameter combination to guide construction, realizing an intelligent closed-loop design from theoretical calculation to engineering control, and solving the problems of insufficient deformation prediction accuracy and lagging risk control in complex strata.

The invention discloses an intelligent traffic light control system and a control method thereof. The intelligent traffic light control system comprises a sensing layer which integrates a multi-mode sensor to collect traffic data in real time, and an edge computing node completes data preprocessing and dynamically adjusts signal light parameters; the transmission layer is used for performing high-speed data transmission and emergency request security verification through 5G / C-V2X, low-power-consumption Bluetooth and a block chain network, and adopting AES-256 encryption to guarantee data security; the platform layer is used for sharing an AI model based on a federated learning framework to improve prediction accuracy, optimizing phase switching by combining a dynamic timing engine with flow trend analysis and reinforcement learning, and triggering emergency vehicles to pass preferentially by a block chain verification module; the application layer is used for carrying out remote control and user feedback through a mobile phone APP, assisting in displaying a signal state and recommending a vehicle speed through AR navigation, managing a background monitoring equipment state and supporting firmware upgrading; and efficient traffic management in a temporary scene is carried out through a full-link closed-loop design.