439 results about "Visual control" patented technology

The invention discloses an unmanned aerial vehicle inspection method and system based on AI visual control, and belongs to the technical field of unmanned aerial vehicle automatic control, and the method comprises the steps: carrying out the feature component extraction and compression according to discontinuous frame image data collected by an airborne camera and preset inertial navigation data, and obtaining a compressed feature flow; performing multi-mode obstacle safety level parameter analysis, generating an obstacle avoidance decision priority map, constructing a safety corridor, and generating a real-time self-correction route; semantic analysis is carried out on the deviation between the real-time flight trajectory and the real-time self-correction route, and target area abnormal mark data is generated; and dynamically adjusting the bandwidth allocation of the dual-channel communication network, and transmitting the abnormal mark data of the target area to a ground control terminal. According to the method, a non-continuous frame image and inertial navigation fusion modeling mechanism is adopted, and a multi-mode obstacle safety grading and double-channel dynamic bandwidth allocation strategy is combined, so that real-time response of dynamic obstacle avoidance, accurate judgment of anomaly detection and efficient transmission of key data can be realized.

The invention relates to the technical field of non-electrical variable control, in particular to a digital visual control system and method for a glass bottle production line. The method comprises the following steps: acquiring digital image data of molten glass; molten glass bubble distribution is identified based on the molten glass digital image data, the quality state of the molten glass is evaluated, and micro-defect distribution map data is generated; collecting the internal temperature of the smelting furnace through a temperature sensor array, and constructing a three-dimensional temperature field distribution model of the smelting furnace; and predictively optimizing and adjusting the heating control parameters of the smelting furnace based on the three-dimensional temperature field distribution model of the smelting furnace, and generating a regional heating power distribution strategy. According to the invention, through fusion of a plurality of advanced technologies, accurate sensing and whole-process linkage control of the molten glass state are realized, intelligence, quality uniformity and process visualization level of glass bottle production are significantly improved, and glass manufacturing is promoted to develop towards the intelligent and efficient direction.

The invention relates to the technical field of industrial automation and process control, in particular to a digital visual control system and method for automation equipment. The method comprises the following steps: carrying out image sequence acquisition and preprocessing on the material conveying automation equipment to obtain an enhanced flow image set; performing flow texture and flow velocity distribution analysis on the enhanced flow image set to obtain a texture feature data set and a velocity field distribution diagram; performing flow state feature extraction on the texture feature data set and the velocity field distribution map to obtain a flow state feature vector map; performing three-dimensional point cloud construction on the material to obtain a stacking curved surface model; and carrying out repose angle measurement and partition processing on the accumulation curved surface model to obtain a repose angle distribution diagram. By means of the industrial automation and process control technology, control normal form transformation from passive response to active prevention is achieved, and the stability and accuracy of the powder material conveying and subpackaging process are remarkably improved.

The invention relates to the field of image processing, and discloses a lightweight container correction method and system based on machine vision, and the method comprises the steps: building a detection model through enhancing the feature response of a corner fitting region, detecting a corner fitting, calculating a disparity map of a multispectral image, reconstructing the three-dimensional coordinates of the corner fitting, and carrying out the pose conversion; identifying time-varying parameters on line to construct a state transition matrix, calculating predicted vibration displacement, projecting the vibration displacement to a world coordinate system, and calculating innovative sequence variance to dynamically adjust noise parameters; an inner and outer ring control framework is constructed, and an outer ring visual controller generates target force by calculating pose errors in a world coordinate system; an inner loop force control compensator combines predicted vibration offset and force sensor feedback to correct a mechanical arm control instruction, control gain is scheduled through a task stage, and vibration frequency self-adaptive adjustment parameters are analyzed; and performing force control compensation based on the target force, and discretizing the continuous impedance model to obtain a recursive control law to resist external disturbance.

The invention provides a laser surface treatment method, device and equipment based on visual control, and the method comprises the steps: carrying out the energy waveform capture processing of pulse laser outputted by laser marking equipment, and carrying out the multi-channel visual detection of a surface reflection region of a to-be-marked part based on a pulse energy reference, and obtaining the surface feature information; planning an initial scanning path according to the surface feature information, and synchronously correcting a trigger time sequence of the pulse laser to obtain a target marking path; and in combination with the target marking path and the pulse energy reference, dynamic observation and local heat dispersion treatment are conducted on the marking area, and the treated part surface is obtained. The method is suitable for performing fine marking on a high-reflectivity or complex geometric surface, and can perform timely adjustment according to local temperature rise or optical characteristic change in the marking process to reduce depth unevenness and thermal damage.

The invention relates to the technical field of industrial automation process control, and discloses a data source adaptation and control binding method, device, equipment and medium, comprising: establishing a variable model to generate a variable directory, constructing a data source adapter to generate a data source mapping table and a read-write interface set, generating a control tree in a visual control designer, establishing a binding relationship between control attributes and variables, loading a variable binding engine, analyzing a binding path, generating an execution plan, registering change monitoring, accessing a read-write interface set of a target data source adapter based on the execution plan to complete variable read-write, and generating an execution record, and responding to a variable change event or a control input event to trigger control value write-back and interface refreshing, and finally collecting a variable directory, a binding relationship, a control tree and an execution record to generate a package configuration file. Through a unified variable model and control binding mechanism, cross-data-source analysis and bidirectional linkage are realized, and the interaction efficiency and the system maintainability are improved.

The invention discloses a metallographic detection method and system based on image recognition, and belongs to the technical field of metallographic detection. The detection method comprises the following steps: image acquisition and preprocessing: acquiring a metal metallographic image by an optical microscope, performing median filtering and denoising, and extracting a grain boundary by adaptive binarization; and field-of-view and scale calibration: selecting a corresponding scale according to the shooting magnification. The multi-parameter automatic measurement comprises grain size analysis, grain size rating, second phase analysis and intelligent report generation, a report is automatically generated based on a preset template and comprises an original image, a binary image, measurement data and a histogram, and report fonts and layout can be adjusted in real time through a visual control. According to the detection method disclosed by the invention, the efficiency, the precision and the reliability of metallographic structure analysis of the metal material are remarkably improved through the full-process design of image acquisition standardization, preprocessing intellectualization, data analysis automation and report generation templating.

The invention relates to the technical field of visual control, in particular to a picture defect test equipment control system and method, and the system comprises a difference tensor construction module, a space-time constraint construction module, a strain response judgment module, a coupling focusing mapping module and a boundary stability evaluation module. According to the method, the multi-dimensional difference incidence relation is constructed by extracting the pixel gray difference value, the brightness gradient and the chrominance phase angle, and fine brightness fluctuation and color shift in a picture can be captured. The superposition of the time-space change rate enables the dynamic performance of image defects to be distinguished, and continuous and transient anomalies can be effectively recognized. And in combination with tensor strain ratio and difference amplitude analysis, an abnormal region can be adaptively recognized, and neglect of a traditional method on a complex scene is avoided. The weighted aggregation of the local energy response improves the stability of the defect boundary, ensures the accurate positioning and judgment consistency of the image defect, and significantly improves the reliability and accuracy of the detection result especially in dynamic change and complex illumination environments.

The invention provides a binocular vision teleoperation robot system, a robot and a teleoperation method and device, and relates to the technical field of computers. The method comprises the following steps: receiving a binocular video stream obtained by carrying out image acquisition on an actual scene by a binocular vision robot, and rendering the binocular video stream to obtain a three-dimensional scene; displaying the three-dimensional scene to an operator of the binocular vision robot to capture motion data of the operator observing the three-dimensional scene; determining a target area from the actual scene according to the action data, and obtaining a visual control instruction based on the target area; the vision control instruction is transmitted to the binocular vision robot for teleoperation; wherein the visual control instruction is used for adjusting imaging parameters of the binocular vision robot for image acquisition of an actual scene, and the visual direction of the binocular vision robot can be rapidly and naturally kept consistent with the attention point of the operator.

The invention relates to the technical field of simulation, and discloses a visual control method for a simulation test process, which performs test process description and visual display in a composite mode of test components, attributes and behavior logic to realize dynamic arrangement and design reuse of the test process. And support is provided for design and control of a simulation verification process of a full development cycle of a product. The technical problem that a traditional test method generally relates to writing a large number of codes to define test cases, and consequently maintenance and change complexity is caused is solved, the automation level of the execution process of a complex simulation system is improved, and the reusability and test efficiency of simulation verification work are improved.

The invention provides an underwater welding robot which comprises two clamping mechanisms arranged in a spaced mode. The adjusting mechanisms are used for adjusting the distance between the two adjusting mechanisms; the water retaining mechanism is used for moving the annular water retaining cavity to a welding position so as to reduce the influence of water flow on welding equipment; and a vision controller. According to the underwater welding robot, the two clamping mechanisms are arranged, one clamping mechanism can be clamped on a pipeline needing to be connected and convey the pipeline to the water along with the pipeline, and the other clamping mechanism is clamped on the underwater pipeline after conveying the pipeline to the water along with the pipeline; the adjusting mechanism is arranged, so that the distance between the two clamping mechanisms can be adjusted; a water retaining mechanism is arranged, so that an annular water retaining cavity can be moved to a welding position to reduce the influence of water flow on welding equipment; and the visual controller is arranged, the pipeline connecting position can be determined underwater, the influence of water flow on welding is avoided through the water retaining mechanism, and the welding precision is high, adaptability is good, and practicability is good.

The invention discloses a visual control method for rapidly sorting magnets. The visual control method comprises the following steps that a flexible vibration disc stops vibrating; acquiring an image in the flexible vibration disc; the image identification sequentially comprises the following steps of: converting the image into a gray level image, and identifying a magnet in the image by adopting gray level identification; carrying out binarization and edge pixel extraction on the grayscale image in sequence, and screening out a pixel contour conforming to the contour shape of the magnet; through an image recognition algorithm based on deep learning, carrying out image recognition on the positions of the screened pixel contours so as to recognize good magnets in a preset posture; the position of the good magnet in the preset posture in the manipulator coordinate is determined; the manipulator sequentially arrives at the positions of the good magnets in the preset postures to grab the good magnets; and after the flexible vibration disc starts to vibrate for a period of time, returning to circulate. According to the invention, the working efficiency of identifying and sorting the magnets in the flexible vibration disc by the manipulator is improved.

The present invention discloses a visual dynamic control method for a tablet computer based on heat dissipation balance, which relates to the field of heat dissipation visual control technology, including: establishing a three-dimensional heat conduction model of the core components of chips, screens and batteries; constructing a double-layer network architecture; deploying phase change materials at hot nodes, and realizing on-demand heat storage and heat release through electro-induced phase change technology; using a front camera to realize augmented reality technology projection of the thermal field on the surface of the device; constructing a ternary decision tree of energy consumption, performance and heat dissipation, and providing dynamic optimization suggestions in the augmented reality technology interface; integrating a micro piezoelectric pump in the device frame, and driving nanofluids for directional heat transfer through a blood vessel pulsation algorithm; and establishing a thermal management knowledge map containing environmental parameters and usage habits. By quantifying the contribution of each application scenario to each area, the precise allocation of heat dissipation resources is realized, the heat dissipation efficiency is improved, and the augmented reality technology projection of the thermal field on the surface of the device is realized using a front camera.

The invention relates to the technical field of energy consumption control, in particular to an energy consumption prediction and energy-saving control system. According to the technical scheme, the system comprises a data acquisition and communication module, an energy consumption prediction and optimization module, an intelligent control execution module, an energy management and visualization module and a system cooperation mechanism, and data aggregation and transmission are realized through a multi-protocol bus. According to the method, building energy consumption is optimized through dynamic prediction and intelligent control in a cooperative mode, environment changes are responded in real time, operation of multiple devices is accurately coordinated, and the hysteresis and coupling interference limitation of a traditional model are broken through; the hidden danger is actively identified in combination with multi-source data fusion diagnosis, the operation and maintenance cost is reduced, meanwhile, construction management is simplified through standardized integrated design, visual regulation and control are provided, and energy efficiency improvement and a full-period closed loop of intelligent operation and maintenance are achieved.

The invention belongs to the technical field related to robot visual control, and discloses a method and system for cooperatively controlling a mechanical arm to move based on visual servo and force sense admittance. The method comprises the steps that a mechanical arm moves to an assembly target position, and an image collection device collects an image of a target point at the assembly target position as an expected image; the tail end of the mechanical arm clamps the to-be-assembled workpiece to move to an assembly target position, an image collection device collects an image of a target point in real time in the moving process of the tail end of the mechanical arm, and the image collected in real time is compared with an expected image so as to calculate the movement speed vc of the tail end of the mechanical arm; when the to-be-assembled workpiece is in contact with the pin at the assembly target position, the force sensor measures the force and the torque during contact, and the movement speed vf of the tail end of the mechanical arm is calculated through the force and the torque; and calculating the movement speed of the tail end of the mechanical arm at the next moment by utilizing the movement speeds vc and vf of the mechanical arm. According to the invention, the problem that visual control and force control cannot be cooperatively controlled in the prior art is solved.

The invention provides an intelligent cooking supervision optimization system based on digital twinning and a construction method, and solves the problems of insufficient whole-process supervision of a traditional kitchen, lagging of real-time early warning and difficulty in operation standardization. The system constructs a virtual model through high-precision modeling (geometry, physics, behaviors and rules); the whole stir-frying link is uniformly coded by using an industrial internet identification analysis technology, so that data tracking and tracing are realized; a real-time data acquisition, transmission and analysis mechanism is established, and seamless virtual-real mapping between physical equipment and a digital platform is realized; and a visual control interface is constructed to support ordering and remote control. A scheduling rehearsal mechanism based on an improved ant colony algorithm is innovatively proposed, multi-task multi-pot dish distribution scheduling is optimized, trial and error cost is reduced, and meal delivery efficiency and system stability are improved. The system provides support for digital and intelligent transformation of the catering industry, and improves food safety supervision and kitchen operation efficiency.

A system and method to generate a target image from a reference image are provided. The system may receive, via a LDM, a reference image and a text prompt. The system may extract, via a trained vision encoder in the LDM, a vision control signal from an object in the reference image. The vision control signal indicates an identity of the object. The system may extract, via trained text encoders in the LDM, text control signals associated with the text prompt. The system may generate, via cross attention summation of an output of a vision cross attention unit(s) associated with the vision control signal and an output of text cross attention units associated with the text control signals, spatial features indicative of the reference image and the text prompt. The system may output, via a decoder in communication with the LDM, a target image based on the generated spatial features.

The invention discloses a grain depot intelligent system based on digital twinning, relates to the technical field of grain depots, solves the problems of low visualization degree, untimely grain condition information acquisition and difficult remote visualization control of a current grain depot storage management mode, and comprises a model generation module, an intelligent analysis module, an intelligent early warning module, a grain condition display module and an intelligent control module, the model generation module is used for generating a grain depot twinborn model corresponding to a physical grain depot, the intelligent analysis module is used for analyzing a grain sample of the physical grain depot, and the intelligent early warning module is used for performing intelligent early warning on the storage condition of grains in the physical grain depot. The grain condition display module is used for displaying the corresponding grain depot twinborn model in the physical grain depot, the intelligent control module is used for intelligently controlling the storage condition of the physical grain depot, the grain condition information can be obtained in time, the grain depot can be visually managed, and remote visual control over the grain depot is achieved.

The invention provides a virtual power plant flexible resource aggregation control layered connection management method and device, and belongs to the field of virtual power plant control. The method comprises the following steps: dynamically partitioning a virtual power plant, and obtaining resource data of multi-type flexible resources of each partition; determining a peak time period and a valley time period of daily electricity consumption of each partition according to the resource data of each partition, and determining adjustable data of each partition corresponding to different time periods according to an adjustment model; wherein the adjustable data comprises load capacity and energy storage capacity; the adjustment model takes resource scheduling cost minimization as a target and takes flexible resource adjustment capability as a constraint; generating a scheduling instruction for controlling a scheduling device and an energy storage control instruction for controlling an energy storage device according to the adjustable data of each partition; and obtaining scheduling response information fed back by the scheduling equipment and energy storage response information fed back by the energy storage equipment, and generating visual control data according to the scheduling response information and the energy storage response information. According to the invention, the scheduling accuracy of each region can be improved.

The invention relates to the technical field of position control, in particular to a servo closed-loop full-automatic plugging visual control method and system, and the method comprises the following steps: obtaining a static direction and an attitude angle of a plugging interface, constructing a reference configuration, calculating a current attitude deviation and an inclination angle to generate an offset configuration, extracting an offset angle comparison tolerance, and adjusting a servo actuator. According to the method, the attitude judgment precision is improved by collecting the attitude angles of the contact pin and the interface to construct the angle vector, calibrating and generating the reference configuration, the direction deviation index is formed by combining the attitude deviation and the inclination angle, and the direction recognition accuracy is enhanced; an adjusting instruction is generated through the difference value of the deviation angle and the Euler angle, dynamic response and self-adaptive adjustment are achieved, current, position and speed changes in disturbance signals are synchronously collected, disturbance vectors are constructed, the trend is analyzed, the plugging state is judged, stability monitoring and closed-loop adjustment are achieved, and plugging consistency and control precision are improved.

The invention discloses a canal channel construction area excavation quality three-dimensional visualization control system, and belongs to the technical field of constructional engineering. The system comprises a three-dimensional scanning device, a data processing device, a three-dimensional visualization display module, a quality comparison detection module, a system control decision module, a remote communication monitoring module and a historical data storage module. The data are compared with a standard three-dimensional model generated by a design drawing, a deviation area is accurately detected, the construction precision and quality are improved, it is ensured that construction always meets design requirements, real-time data of a construction site are converted into the three-dimensional model, constructors are helped to rapidly recognize problems and adjust the problems in time, and the construction efficiency is improved. According to the invention, automatic correction suggestions are provided for constructors, the construction method, equipment selection and resource allocation are optimized, the construction efficiency is greatly improved, and the remote and high-efficiency construction requirements can be met through remote communication and remote control functions.

The invention discloses an auxiliary device for armless disabled people, and relates to the technical field of brain-computer interfaces. In order to solve the problems that in the prior art, an invasive type and a semi-invasive type of existing wearable auxiliary devices for providing life assistance for people with upper limb disability need surgical operation, electrodes are implanted into the cerebral cortex, but the surgical risk is large, complications such as infection and bleeding are possibly caused, and long-term maintenance is needed after implantation; in order to solve the technical problems that a non-invasive interbrain interface is relatively small in risk, convenient to use, simple to operate, low in cost and relatively low in control precision, the technical scheme provided by the invention is as follows: the auxiliary system for the armless disabled person comprises a brain signal acquisition module for acquiring an electroencephalogram signal of a user in a non-invasive manner; the visual control module is used for collecting target object positioning information; and the main control module is used for generating grabbing action group signals according to the signals acquired by the brain signal acquisition module and the visual control module. The auxiliary grabbing device is suitable for being applied to auxiliary grabbing work of the arm-free handicapped.

The invention relates to the technical field of visual inspection, and particularly discloses a visual control system and method for plastic bottle sorting based on visual inspection, and the method comprises the following steps: S1, starting a camera when a plastic bottle is detected, and calculating the imaging time; s2, obtaining an exposure value of the imaging picture, presetting an exposure interval, marking abnormal pixel points, calculating the proportion of the abnormal pixel points, and carrying out preliminary screening on the plastic bottles based on the proportion of the abnormal pixel points; s3, marking to-be-sorted bottles, arranging an NIR sensor, emitting near-infrared light when the to-be-sorted bottles pass, acquiring a spectrum reflected by the to-be-sorted bottles, and determining wavelengths of absorption peaks corresponding to the to-be-sorted bottles based on the spectrum; and S4, the materials of the bottles to be sorted are determined based on the wavelengths, the total time and distance coefficient are calculated, and the plastic bottles are blown out through the corresponding air valves to complete sorting. The sorting efficiency is improved, the labor cost is reduced, and meanwhile, the false drop rate can be further reduced through automatic work of a machine.

The invention relates to the technical field of man-machine interaction, in particular to an immersive space-oriented real-time data fusion method and system, and the method comprises the following steps: obtaining the position data of a viewer, extracting the change characteristics of the movement direction, distinguishing the dynamic state of a track, arranging the light source direction, sound pressure parameters and electrocardiogram period data, and matching the nodes with the consistent trend of various types of data. And screening a node group with a high fitting degree, pushing coordinates to a control path, and generating an audio-visual control fusion feedback set. According to the method, dynamic segmentation is carried out according to the movement direction change through the behaviors of the viewer, the track recognition precision is enhanced, space-time pairing of sound pressure parameters and electrocardio cycle data is achieved, the multi-source information synchronization capability is improved, linkage classification among sensing parameters is achieved through difference data trend consistency judgment, and the coordination of interaction response is improved; the node parameters and the position coordinates are synchronously pushed to a control path, a dynamic mapping relation between physiological feedback and audio-visual content is formed, and the response efficiency and coherence of fusion triggering are optimized.

The invention discloses a visual management and control method and system for intelligent production of pre-cooled concrete. The method comprises the following steps: constructing a three-dimensional visual digital twinborn model through a camera, a sensor and a three-dimensional digital twinborn modeling method; decomposing a production structure of the three-dimensional visual digital twinborn model into local process modules; inputting field target production project data into the three-dimensional visual digital twinborn model to carry out real-time visual production simulation; performing first production control optimization on the field target production project through a neural network; performing secondary production management and control optimization on the field target production project through the three-dimensional visual digital twinborn model; a production field real-time scene is output through the three-dimensional visual digital twinborn model, and third-time production management and control optimization is carried out through a cosine similarity algorithm; through deep learning model prediction and monitoring, the neural network is introduced to control production personnel, intelligent management of the whole concrete production process is realized, the concrete quality is improved, and the safety risk is reduced.

The invention discloses a device and a method for restoring a filling body by inducing a microbial nanomaterial based on an acoustic-thermal effect, and relates to the technical field of filling mining. Crack repair is performed on the underground filling stope zone crack filling body through filling body reinforcement, acoustic-thermal synergy, microbial repair, multifunctional monitoring and visual regulation and control, flora diffusion distribution is monitored and regulated and controlled by adopting acoustic signals, and uniform distribution and activity enhancement of flora are realized. Meanwhile, it is guaranteed that the damaged filling body is efficiently repaired through the non-water-based nanometer material containing the microorganisms, and finally long-term stable bearing of the underground filling body is achieved; a distribution blind area is avoided, and the problem of secondary degradation of a filling body caused by a water-based grouting material is avoided.

The invention discloses a mechanical arm hand-eye calibration method based on a standard model and mark points, and belongs to the technical field of visual control, and the method comprises the following steps: based on a URDF standard model, determining a plurality of key points of a mechanical arm and local three-dimensional coordinates of the key points in each connecting rod coordinate system; for each moving image, identifying two-dimensional coordinates containing key points; determining global three-dimensional coordinates of the key points in a base coordinate system; calculating candidate calibration parameters according to the two-dimensional coordinates and the global three-dimensional coordinates of the key points, and fitting the candidate calibration parameters of all the moving images to obtain initial hand-eye calibration parameters; analyzing the actually measured poses of the mark points from the detection image; calculating theoretical poses of the mark points; and generating the hand-eye calibration parameters according to the actually measured poses and the theoretical poses of the mark points and the initial hand-eye calibration parameters. According to the invention, the problem that the hand-eye calibration of the robotic arm is not accurate enough in the prior art can be solved.

The invention discloses a semiconductor die bonder based on intelligent visual control and a control method. The semiconductor die bonder comprises a vacuum adsorption bonding head, a chip transfer platform, a visual detection module, a dispensing module, an angle correction module and a die bonding module. On the basis of high-response high-precision positioning and detection of the visual detection module, angle deviation correction is carried out in the chip grabbing process, high-precision dispensing is achieved, and the die bonding efficiency and accuracy are improved.

The invention relates to the technical field of initiating explosive device induction, and discloses an initiating explosive device induction system matched with a mixed loading explosive truck, which comprises a visual detection camera, a visual controller and a trip computer which are arranged on the mixed loading explosive truck, the visual detection camera collects initiating explosive device information on the road condition around the mixed loading explosive truck, the visual detection camera transmits collected data to the visual controller through a data transmission protocol defined by the visual controller, the visual controller carries out algorithm processing, and an early warning signal for the initiating explosive device is obtained. The visual controller transmits an early warning signal to the trip computer through the CAN bus, the trip computer processes the early warning signal and instructs the emergency stop system of the mixed loading explosive truck to start the emergency stop function, so that the mixed loading explosive truck stops rapidly, and the mixed loading explosive truck is prevented from rolling the initiating explosive device. The technical problem that the explosive device is rolled by the vehicle due to site limitation, visual angle blind areas, personnel command errors, driver operation errors and the like of the mixed loading explosive vehicle on the blasting operation site is solved.

The invention relates to the technical field of digital twinning application, in particular to a digital twinning technology-based intelligent manufacturing method for a steel structure bridge, which comprises the following steps of: S1, establishing a steel structure bridge design BIM (Building Information Modeling) model; s2, constructing a digital twin model, and mapping a physical manufacturing process in real time; s3, performing pilot run, and performing digital twinborn model optimization according to a pilot run result; s4, steel structure production supervision and optimization are carried out based on the optimized digital twinborn model; and S5, performing quality prediction and visual control guidance by using a BIM technology and a digital twinborn model. The advanced information technology is combined with the manufacturing process, so that the whole process optimization from design to manufacturing is realized. An accurate bridge design model is constructed by utilizing a BIM technology, detailed geometric information, material attributes, construction processes and the like are included, and accurate basic data are provided for subsequent manufacturing links. Meanwhile, the physical manufacturing process is mapped in real time by means of the digital twinning technology, precise monitoring and adjustment of production are achieved, and therefore it is guaranteed that manufacturing of the steel structure bridge can be completed efficiently with high quality.