262 results about "Analytical control" patented technology

The invention discloses an intelligent log retrieval and analysis system based on a model context protocol MCP, and relates to the technical field of log analysis. The system comprises an MCP log semantic conversion and retrieval engine, a log format irrelevant feature extraction and indexer, a dynamic log format recognition and context enhancement system, a real-time retrieval analysis and aggregation controller and a multi-level semantic retrieval and visualization engine. According to the context enhancement system, unknown formats can be identified, semantic tags can be complemented, and semantic consistency and behavior tracking capability can be improved. The retrieval analysis controller supports semantic expression analysis, strategy generation and feedback closed loop, and strategy scheduling and multi-dimensional aggregation analysis are achieved. And finally, outputting a structured semantic result by the system, and visually displaying the structured semantic result through components such as a semantic composition device and a context expander. All the modules are managed in a unified mode through a capability registration mechanism, dynamic arrangement and upstream and downstream closed-loop linkage are supported, and a log intelligent analysis framework with high semantic driving and a clear structure is formed.

The invention relates to the technical field of carbon emission, in particular to a full-life-cycle carbon footprint tracking management platform for power equipment. The platform collects carbon emission parameters in the whole process from raw material input to scrap recovery in real time through a monitoring equipment network and a sensor array to generate an original monitoring data stream; performing multi-source fusion and deviation correction on the data stream to generate a standardized carbon footprint sequence; a carbon emission trend model is constructed based on sequence extraction correlation features, and a dynamic adjustment strategy is generated when an integration fracture risk or emission abnormity is detected; transmitting an abnormal signal through a mobile terminal interface, receiving an adjustment instruction, and generating a closed-loop control signal; storing the extended carbon footprint data to construct a full life cycle file; estimating emission fluctuation to generate a stability strengthening strategy; and a monitoring-analysis-control-prediction four-order optimization link is formed. According to the invention, accurate tracking and dynamic optimization of carbon emission are realized, data integrity and management timeliness are improved, and technical support is provided for green manufacturing of power equipment.

The invention provides an unmanned aerial vehicle consistency control method based on a Stackelberg-Nash game, and relates to the technical field of multi-agent consistency and game optimization control. The method comprises the following steps: establishing a motion attitude nonlinear dynamic model of each unmanned aerial vehicle in a multi-unmanned aerial vehicle system, and defining a communication network topological relation; constructing a consistency error and a performance index function; the method comprises the following steps: establishing a layered Stackelberg-Nash game mechanism with a plurality of participants; utilizing a Bellman optimality principle to construct a coupling HJB equation to solve an optimization control strategy of the leader and the follower; and constructing a single evaluation network to estimate the optimization control strategy of the leader and the follower in each execution so as to realize an optimization control target. A favorable tool is provided for analyzing a series of control problems of master-slave consistency of multiple unmanned aerial vehicles in the control field, and the reliability of a control system can be enhanced to a certain extent.

The invention relates to the technical field of high-pressure hydrogenation reactor control, and discloses a multi-stage pressure optimization control method and system for a high-pressure hydrogenation reactor, and the method comprises the steps: obtaining temperature, pressure and flow monitoring data, generating original parameter data, and deploying a distributed control network; collecting and analyzing multi-stage pressure sensor data, and generating a pressure change influence factor; sensing a valve state, and generating a valve change influence factor; collecting data of a flow sensor, and dividing a control area after calibration; and calculating a pressure optimization index based on the control area data, integrating multiple factors to generate comprehensive control data, and further generating a pressure control signal and outputting an instruction. The system comprises a control network deployment module, a pressure analysis module, a valve analysis module, a control area analysis module and a pressure control signal generation module. Through multi-dimensional data fusion, a distributed control network and dynamic optimization calculation, the accuracy and stability of pressure control of the high-pressure hydrogenation reactor are improved, and the method is suitable for efficient and safe production in the field of petrochemical engineering.

The invention relates to the technical field of scientific research instrument management, in particular to an intelligent supervision method and system for a scientific research instrument, and the method comprises the following steps: extracting instrument reservation task information and constructing a timetable, collecting and analyzing control instruction abnormal behaviors to generate risk information, collecting power trend data to recognize an operation state, and carrying out management. And collecting an identity instruction and power information to construct a use record, and analyzing power fluctuation and load degree to generate a maintenance cycle evaluation value. According to the method, dynamic sorting and conflict screening of the reservation requests are realized by combining the task dependency relationship and the priority information, the risk level is evaluated by using the user instruction behavior characteristics, the real-time identification of the operation risk is realized, the accuracy of the operation state identification is enhanced by using the power fluctuation trend analysis, and the user experience is improved. A structured binding relationship of use data is established in combination with the identity and the device number, the information tracing integrity and the data tracing efficiency are improved, and the prejudgment capability of the maintenance period is optimized by using the combined evaluation of the operation load and the power trend.

The invention discloses a dynamic coupling modeling method and system for an electric power information physical system, and belongs to the technical field of electric power dispatching automation, and the method comprises the steps: analyzing an AGC control process business data flow, and constructing a workflow engine; performing node classification, generating an information node model and an information branch model of the information system, and constructing a rule engine; constructing an information system network matrix model based on the rule engine, and establishing a preset service strategy based on the information system network matrix model; constructing an information physical coupling model of the AGC control process; and according to the AGC actual service, loading a preset service strategy established by the information system network matrix model based on the synergistic effect of the workflow engine and the rule engine, and updating the information physical coupling model. According to the method, a basic model is provided for cross-level closed-loop simulation verification in the AGC process, the problems of unclear information physical dynamic coupling mechanism, insufficient service logic adaptive mapping and model iteration self-updating are solved, and a guarantee is provided for safe and stable operation of a large power grid.

The invention relates to the technical field of marketing data analysis, and discloses a marketing analysis control method and system. The method comprises the steps of collecting multi-dimensional interaction data of a target user group; performing time sequence alignment processing on the multi-dimensional interaction data, eliminating asynchronous interference caused by acquisition time offset, and generating a synchronization behavior matrix; potential mode mining is carried out based on the synchronization behavior matrix, behavior clusters with relevance are recognized, and each behavior cluster corresponds to one user decision mode; constructing a dynamic weight model according to the user decision-making mode, calculating the contribution degree weight of the data of each dimension in the current marketing scene, and updating the model by adopting an incremental learning mechanism in combination with real-time feedback data; establishing a marketing strategy mapping table, and selecting an adaptive strategy group according to a current optimal weight combination output by the model; when the strategy is executed, a responsivity index is monitored synchronously, if the responsivity index is lower than a dynamic threshold value, re-matching is triggered, incremental data is fed back to a potential mode mining link, and a closed-loop optimization mechanism is formed.

The invention relates to the technical field of environment monitoring and automatic control, and specifically provides a dust monitoring analysis control system based on a port bulk cargo storage yard electronic greenhouse. The system comprises an environment multi-dimensional sensing module, a dust field dynamic reconstruction module, a dust suppression demand prediction module and a precise execution control module, and through multi-dimensional data acquisition, dynamic three-dimensional dust field modeling, future dust suppression demand prediction and space and time sequence optimization regulation and control of spraying resources, the dust suppression demand prediction and the precise execution control module are optimized. Accurate monitoring and prediction of dust concentration and on-demand throwing of dust suppression resources are achieved, and control timeliness, foresight and operation energy efficiency are effectively improved.

The invention relates to the technical field of intelligent agricultural intelligent irrigation control, and discloses an intelligent irrigation analysis control system based on a crop growth period. The system comprises a crop image sequence, soil humidity profile data and a regional meteorological sequence. And the data analysis module is used for performing multi-stage growth state interpretation on the image sequence, generating a crop structure state profile in each growth period, performing vertical moisture exchange identification on the soil humidity data, and generating a root zone moisture dynamic map. And the habitat mapping and stress evaluation module synchronously executes habitat adaptability mapping and moisture stress risk mapping. And the irrigation decision module corrects the habitat mapping result according to the stress evaluation result and generates an irrigation decision profile. And the control instruction generation module generates a partition valve control instruction in combination with the decision profile and the alternate irrigation rule. According to the invention, deep fusion analysis of the crop growth state, the root zone moisture and the meteorological environment is realized, and the irrigation decision accuracy and the water resource utilization efficiency are improved.

The invention relates to the technical field of wind power monitoring, and discloses a construction engineering tower crane wind power monitoring control method, which comprises the following steps: collecting wind power environment data around a tower crane structure through a multi-source sensor network, including wind speed, wind direction, wind pressure and tower crane boom vibration parameters, and generating a tower crane wind power original data set; performing wind load fusion evaluation processing based on the tower crane wind power original data set, calculating actual wind load distribution of each part of the tower crane by combining a tower crane structure model and a computational fluid dynamics principle, and generating tower crane wind load evaluation data; when wind power monitoring and controlling of the tower crane in constructional engineering are carried out, wind power environment data and structure response data around a tower crane structure are collected through a multi-source sensor network, a tower crane wind power original data set is generated, wind load fusion evaluation processing is carried out, and the wind load actually borne by the tower crane can be reflected; and meanwhile, the calculated tower crane wind load evaluation data and the tower crane safety threshold are compared and analyzed in real time, and a reliable basis is provided for control decision.

The invention discloses a multi-modal interaction system based on cross-modal data fusion and alignment processing, relates to the technical field of multi-modal interaction, and solves the technical problem of low efficiency of cross-modal data fusion and alignment processing in an education scene in the prior art. According to the method, specifically, multi-modal data is provided for a data interaction platform for hardware cooperative operation in a hardware architecture; the data interaction platform generates a cross-modal data fusion signal and sends the cross-modal data fusion signal to the cross-modal data fusion unit, and the cross-modal data fusion unit performs data fusion after receiving the cross-modal data fusion signal; after the cross-modal data fusion module performs data fusion alignment processing, an interaction analysis control signal is generated and sent to the interaction analysis control unit; and after the interaction analysis control unit receives the data, interaction analysis control is performed.

The invention discloses an analysis control method and system for a hydraulic anchor rod drill carriage for a coal mine, and relates to the technical field of mining mechanical equipment, and the method comprises the steps: constructing a sequential temperature sequence, calculating an actual temperature stability characteristic value, and evaluating the stability of the current temperature fluctuation of the drill carriage; constructing a differential pressure sequence, calculating an actual pressure change rate characteristic value, and identifying whether potential abnormality exists in the hydraulic pressure of the drill carriage; the actual temperature stability characteristic value and the actual pressure change rate characteristic value are constructed into an actual drill carriage state characteristic vector, the actual drill carriage state characteristic vector is input into an operation recognition function, a drill carriage operation normal score is obtained, and drill carriage operation evaluation is carried out; and operation parameters of the drill carriage are dynamically regulated. Parameters of a hydraulic system of the drill carriage are regulated by calculating an actual temperature stability characteristic value, calculating an actual pressure change rate characteristic value, constructing an operation recognition function and dynamically regulating and controlling operation parameters of the drill carriage, and therefore it is guaranteed that the operation parameters of the drill carriage can be matched with the hardness of materials at the operation position.

Koopman operator theory is a widely used method to analyze, control, and predict the behavior of the states of a non-linear dynamical system using measurement functions in Hilbert space. Real time approximation of the Koopman operator is crucial in order to adapt and understand behavior of underlying non-linear dynamical system. Traditional approaches leverage matrix-based methods or artificial neural networks to approximate Koopman operator. However, such methods necessitate significant power and computational resources, therefore may not be suitable for applications that require real-time on-board processing. The problems of the conventional approaches are resolved based on a recent development of brain inspired spiking neural networks and neuromorphic computing platforms, as these offer extremely low-energy computation and real-time responses. Embodiments of the present disclosure provide implementation of a Spiking Neural Network (SNN) based architecture that efficiently approximate Koopman operator with minimal length of data and demonstrates significant computational savings.

The invention discloses a color-coated sheet coating film thickness laser detection system and method based on image recognition, and relates to the technical field of metering equipment. Comprising an optical data acquisition module, a film thickness change feature extraction module, a double-channel parallel resolving module, a double-channel arbitration module, a single-point quality judgment module, a trend analysis control module and a film thickness distribution visualization module. The optical data acquisition module acquires laser speckle images and spectral response data, the film thickness change feature extraction module acquires film thickness change features, the double-channel parallel resolving module outputs image and spectral channel film thickness values, the double-channel arbitration module outputs film thickness predicted values, and the single-point quality judgment module performs quality qualification judgment. And the trend analysis control module generates a process parameter adjustment instruction, and the film thickness distribution visualization module carries out visual presentation of film thickness distribution. By collecting optical data, the detection precision and the anti-interference capability are improved, comprehensive evaluation of film thickness distribution is realized, and the product quality and the process stability are effectively guaranteed.

The invention discloses an intelligent lamplight curtain based on environment perception and a linkage control system thereof, and relates to the technical field of intelligent control, the intelligent lamplight curtain comprises a data acquisition module, a data processing module, a linkage management module and an analysis control module, and the linkage management module comprises an environment sub-module, a personalized demand sub-module and a multi-target collaboration sub-module. Compared with the prior art, the method has the advantages that the environment photon module is different from the single dependence on physical illumination intensity, multi-dimensional parameters are fused, physical environment light data are converted into subjectively perceived effective environment light, the problem that environment perception and subjective experience are disjointed is solved, user historical behaviors and real-time scene data are quantized based on the individual demand sub-module, and the user experience is improved. The multi-target collaborative system is established through the multi-target collaborative sub-module and the association of the corrected effective illuminance of the ambient light and the personalized illumination demand illuminance, the dynamic balance of the environment, habits and atmosphere is realized, and the system has an excellent intelligent effect.

The invention discloses a temperature and pressure control method and system of a reaction kettle, and relates to the technical field of chemical equipment automatic control, the temperature and pressure control method comprises the steps of data acquisition, processing, coupling analysis, control decision and adjustment execution, and a temperature compensation value and a pressure compensation value are generated through dynamic compensation. Based on a coupling coefficient switching adjustment strategy, precise adjustment is realized by combining prediction optimization and segmented control; the temperature and pressure control system comprises a sensing module, a control module, an execution module and a safety interlocking unit. Distributed data acquisition, multi-module cooperative work, environment monitoring unit auxiliary compensation and safety interlocking unit guarantee protection are realized. According to the temperature and pressure control method and system of the reaction kettle, the problems of low control precision and weak interference resistance in the prior art are solved, the temperature control precision is + / -0.5 DEG C, the pressure is + / -2kPa, the response speed is high, the method and system are suitable for high-requirement reaction processes in the fields of chemical engineering, medicine and the like, and the method and system have the advantages of high precision, fast response and high safety.

The invention discloses an ocular surface illumination treatment device and method, and belongs to the technical field of ophthalmology medical equipment and treatment. The device comprises an infrared camera module, a computer terminal analysis control module, an optical power detection module, a mechanical adjustment module, a safety switch module and an illumination module. Wherein the infrared camera module comprises an infrared CCD (Charge Coupled Device) camera and a near-infrared light source which are arranged at a preset included angle and can collect eye images and transmit the eye images to the computer terminal, and the highest recording speed of the infrared camera module is not lower than 200 frames per second; and the computer terminal analyzes the image to obtain pupil positions, diameters and distances, and adjusts relative positions of a shielding device and a lens group in the light path of the illumination module, the axis of the light path and the distance between left and right lens cones, so that the central dark area of the annular light spot is matched and overlapped with the pupil. Eye images are collected and processed firstly, then light spots and the lens cone are adjusted, finally phototherapy and real-time monitoring are carried out, light can be prevented from entering the fundus, the treatment safety is improved, and the device is suitable for ocular surface diseases such as xerophthalmia.

The invention provides a multifunctional channel detection system based on a Zynq chip. The multifunctional channel detection system is characterized in that a system main control module is deployed at an ARM processor end of the Zynq chip; the protocol analysis control module, the fault-tolerant detection excitation module and the bottom hardware adaptation module are deployed at the FPGA programmable logic end of the Zynq chip; the system main control module communicates with each module of the FPGA programmable logic end through an AXI bus; the underlying hardware adaptation module receives the configuration from the system main control module and completes electrical adaptation and dynamic switching of various bus interfaces; the protocol analysis control module receives an instruction from the system main control module, and performs protocol analysis and feature verification on at least one of an SPI bus, an IIC bus and a 1553B bus; the fault-tolerant detection excitation module receives the trigger from the system main control module and injects a controllable fault into the tested bus interface; and the system master control module integrates the verification result and the injection feedback to complete the performance and reliability evaluation of the bus channel.

The application relates to an active profile display device and method of a marine observation buoy, which is composed of an embedded microprocessor, an LED driving module, an illumination sensor, an LED lamp strip, a 485 bus protocol module, an AIS receiving module and a positioning module, wherein the embedded microprocessor is connected with the LED driving module, the illumination sensor, the 485 bus protocol module, the AIS receiving module and the positioning module respectively, and the LED driving module is connected with the LED lamp strip. The embedded microprocessor performs data compliance discrimination inspection every second, and performs active profile display analysis control module in a timing mode. According to the weighted calculation of the distance normalization result of the ship and the buoy, the LED driving power, the light duration and the extinguishing duration are adjusted. The beneficial effect of the application is that the LED lamp strip power and the light and extinguishing duration are dynamically adjusted according to the distance of the surrounding ships, so that better marker profile display effect is realized with less energy consumption.

Systems and methods for calibrating radio frequency (RF) generators are described. One of the methods includes receiving a plurality of analog measurement signals from a plurality of RF sensors to output a plurality of digital signals. The plurality of analog signals are received by an analytical controller. The method further includes calibrating, in a simultaneous manner, the RF generators based on the plurality of digital signals. The RF generators are calibrated by a process controller.

The invention relates to the technical field of heater drainage control, and discloses a heater drainage control system with fault diagnosis, which comprises an electric regulating valve group, a water level sensor module, a DCS (Distributed Control System) control module and a safety interlocking protection unit, the electric control valve group comprises a position feedback module and an execution mechanism, the DCS control module is integrated with a fault diagnosis sub-module, and the invention further provides a heater drainage control method with the fault diagnosis function, and the method comprises the following steps that S1, signal collection and preprocessing are conducted, and water level signals are collected in real time through a sensor; s2, deviation analysis: the DCS control module compares the deviation between a set value and an actual value, and adopts a self-adaptive threshold to judge a control demand; manual operation is transformed into remote automatic control, an automatic control strategy is optimized, the water level of the high-pressure heater is adjusted when the load of the unit changes frequently, manual operation is reduced, and safety and reliability of operation of the unit are improved.

The invention relates to the technical field of coating quality monitoring, in particular to an intelligent monitoring method and system for electrophoresis powder spraying coating quality, and the method comprises the steps: firstly obtaining the global geometric information of a workpiece through three-dimensional scanning with submillimeter precision, then obtaining the optical characteristics of a coating through combining with a multispectral imaging module, achieving the multi-source data fusion through a time-space registration module, and carrying out the monitoring of the coating quality. A deep neural network model is adopted to invert and generate a three-dimensional film thickness distribution field, the coating thickness uniformity is accurately quantified, meanwhile, a three-dimensional convolutional neural network is utilized to intelligently recognize defects such as pinholes, orange peels and sagging, qualitative and quantitative comprehensive analysis is achieved, and finally spraying process parameters are adjusted in real time through a closed-loop feedback control module. According to the technical scheme, fundamental transformation from offline sampling inspection to online full inspection, from manual judgment to intelligent diagnosis and from post inspection to process intervention is achieved, and the strict requirements of modern intelligent manufacturing for coating quality full-process management and control are comprehensively met.

The invention discloses an intelligent control system and method for a small and miniature direct-current brushless fan based on the Internet of Things, and relates to the technical field of brushless fan control. The small and miniature direct current brushless fan intelligent control system based on the Internet of Things comprises a fan heat dissipation fault analysis control module, a fan coupling fault identification control module and a fan fault protection analysis control module. According to the method, whether stator winding heat dissipation parameter optimization is carried out or not is judged through stator winding heat dissipation fault analysis, then whether electrical coupling identification optimization is carried out or not is judged through electrical coupling fault analysis, and finally whether safety protection parameter optimization is carried out or not is judged through fan safety protection analysis. The electrical coupling fault recognition reliability of the small and miniature direct current brushless fan in the communication process of the Internet of Things is improved, and the problem that the fan fault protection timeliness of the small and miniature direct current brushless fan is not high due to the fact that the control accuracy of the corresponding fan heat dissipation process is not high in the communication process of the Internet of Things in the prior art is solved.

The invention relates to an intelligent color box printing color analysis control method, and provides a reinforcement learning decision closed-loop control method integrating distributed color detection, space-time multi-modal data processing, feature extraction and self-supervised clustering and multi-scale reward modeling. Multi-variable normalization and synchronization are completed through multi-point real-time collection of color, process and environment data, color change meta-state features are extracted based on a self-encoding neural network, and a meta-state distribution model related to space and working conditions is established through self-supervised clustering. And the color risk is evaluated in combination with a multi-scale reward function, so that color parameter optimal adaptive adjustment and cooperative control driven by reinforcement learning are realized. In an actual control link, the system can dynamically optimize a meta-state aggregation and strategy network structure based on a feedback signal, a stable and self-adaptive color consistency closed-loop control system is constructed, and the color consistency and process intelligence level of a printed product under a complex working condition are effectively improved.

This invention discloses a parking trajectory evaluation method, comprising: generating multiple candidate obstacle avoidance paths represented by fourth-order Bézier curves; utilizing the convex hull property of Bézier curves, a graded collision detection mechanism is used to screen candidate paths with no collision risk through preliminary axial bounding box judgment and precise judgment using the separating axis theorem; for safe candidate paths, regression gravity cost, ride comfort cost, and comprehensive safety cost are calculated by analyzing the geometric relationship of control points, wherein the regression gravity cost is based on the alignment degree between the control point evaluation at the curve endpoint and the heading and curvature of the reference path, and the ride comfort cost is calculated based on the discrete bending energy model of the control polygon; the comprehensive evaluation cost is obtained by weighted summation of the costs of the above three dimensions, and the path with the minimum cost is selected as the execution trajectory, wherein the weight coefficients are dynamically adjusted according to the width of the lateral passable space and the vehicle speed. This invention reduces the computational power consumption of planning and achieves smooth regression with the memorized path after obstacle avoidance.

The invention provides a sound wave propagation spatial distribution and sound source position control method, and relates to the technical field of loudspeaker control, and the method comprises the steps: building an analysis control model based on a sound source and a propagation auxiliary object; constructing a first area of sound wave propagation of the sound source in the analysis control model, and marking a second area of spatial distribution of sound wave propagation of the current sound source; mapping the target position to an analysis control model to generate a mapping point location; when the mapping point is in the second area or the mapping point is not in any first area, the sound source position is not controlled; and when the mapping point location is not in the second area but is in any first area, determining a target sound source in the first area, and determining a sound source position control parameter based on the control library correspondingly associated with the target sound source and the mapping point location. According to the sound wave propagation spatial distribution and sound source position control method, sound delivery is carried out according to the position of a film viewer, and the viewing experience of the film viewer is guaranteed.

The invention discloses a control and communication combined maximum posterior probability detection analysis method and device. The method comprises the following steps: calculating and estimating probability density of transmission data according to a control model and a filtering algorithm; performing maximum posterior probability detection according to the probability density and the coding scheme; and analyzing the upper and lower bounds of the maximum posterior probability detection of the control and communication combination according to the probability density and the coding scheme. According to the control and communication combined maximum posterior probability detection and analysis method and device disclosed by the invention, combined detection of communication and control is realized, the transmission error probability can be reduced by utilizing the prior information of the control model, and the transmission reliability and the control performance are improved. According to the invention, the requirements of low-delay and high-reliability control scenes can be effectively met.

The invention relates to a test central control method and system for a test station of a transformer manufacturer, and belongs to the technical field of test control. Control demand information of current test equipment is acquired, control equipment is initially selected for control according to the control demand information of the current test equipment, and an initialization control result is generated; the method comprises the following steps: initializing a control result of each piece of control equipment, acquiring real-time state data information of each piece of control equipment, performing secondary analysis on the initialized control result according to the real-time state data information of each piece of control equipment to generate a secondary control result, and finally performing control interference analysis on the secondary analysis control result to generate a final control result. And the test equipment is controlled according to the final control result. According to the condition of the control equipment, the phenomenon of misoperation when the test equipment needing to be controlled in the central control network system of the test station of the transformer manufacturing plant is controlled is avoided, so that the control equipment can be in order.

The application discloses a fan control system and a system manager, relates to the technical field of intelligent control, and solves the problems of low control precision, no analysis of operation parameter changes and non-serious supervision in the prior art fan control, wherein the application determines whether the fan unit of the corresponding fan has an operation abnormality problem by analyzing the corresponding operation value; if the operation abnormality problem exists, operation abnormality analysis is performed; whether the operation parameters of the fan unit are consistent is preferentially analyzed; subsequently, the angle of the fan unit is analyzed to determine whether the angle is consistent; if the operation parameters and the angle are normal, it is represented that no operation problem exists; if an abnormality exists, timely processing and warning are performed; the overall control effect of the fan unit is improved; the situation that energy consumption and service life are ignored for improving operation effect is avoided; and the control quality is ensured to a certain extent.

The application discloses a laser detection system and method for coating film thickness of color-coated plates based on image recognition, and relates to the technical field of measurement equipment.The system comprises an optical data acquisition module, a film thickness change feature extraction module, a double-path parallel solution module, a double-channel arbitration module, a single-point quality determination module, a trend analysis control module and a film thickness distribution visualization module.The optical data acquisition module acquires laser speckle images and spectral response data, the film thickness change feature extraction module acquires film thickness change features, the double-path parallel solution module outputs film thickness values of image and spectral channels, the double-channel arbitration module outputs film thickness prediction values, the single-point quality determination module performs quality qualification determination, the trend analysis control module generates process parameter adjustment instructions, and the film thickness distribution visualization module performs visual presentation of film thickness distribution.The application improves detection precision and anti-interference capability by acquiring optical data, realizes comprehensive evaluation of film thickness distribution, and effectively guarantees product quality and process stability.