3162 results about "Marking out" patented technology

The invention provides a teaching-free welding robot path planning system based on visual autonomous learning, and relates to the technical field of industrial welding, and the teaching-free welding robot path planning system comprises a pose compensation module which is used for arranging three infrared reflective mark points on the surface of a clamp base in an L shape, collecting original point clouds of the mark points and a workpiece by using a stereo camera, and preprocessing the point clouds; generating a pose compensation matrix based on the offset of the actual coordinate and the theoretical coordinate of the mark point, and outputting a de-noising point cloud data set and a compensation matrix; and the pose correction module is used for fitting a workpiece plane equation by adopting a random sampling consistency algorithm on the basis of the de-noised point cloud data set, acting a pose compensation matrix on the workpiece plane equation, correcting a pose error caused by clamp drifting, calculating a welding seam track end point coordinate and outputting a corrected welding seam pose parameter and a scanning pose instruction. According to the method, clamp drift can be compensated, weld joint poses can be corrected, three-dimensional features are extracted, a collision-free path is planned, and the welding precision, efficiency and automation degree are improved.

The invention discloses a material batch full-process traceability system based on a production process, particularly relates to the field of production and manufacturing traceability, is used for solving the problems of continuity and accuracy of material batch full-process traceability, and is characterized in that batch tracking coordinates are generated by constructing a process mapping matrix and an assembly topological index; detecting circulation holes in real time and inserting placeholder marks; judging broken chain credibility based on path integrity and structural complexity; compressing traceable chain segments; executing field dynamic alignment to generate batch circulation patches; a material batch whole-process continuous tracing view is established; and furthermore, the abnormity positioning time is remarkably shortened, the real-time performance is improved, the influenced batches are accurately locked, the recall range is reduced, the production line decision-making efficiency is optimized, and efficient and reliable technical support is provided for quality management and batch tracking in the production process.

The invention discloses a TIG (Tungsten Inert Gas) welding penetration depth self-adaptive control system for a coiled pipe, belongs to the technical field of welding automatic control, and aims to solve the problems of inconsistent penetration depth control and real-time early warning of abnormal processing in TIG welding of the coiled pipe. The method comprises the steps that welding parameters are initialized based on parameters such as the material and the pipe diameter of the coiled pipe, and the target fusion depth is determined; identifying a straight line segment and a curve segment through the panoramic image, marking a target welding point and generating a welding path; determining a local processing space according to welding point position division types and differentiation, and verifying and updating; positioning precursor, current and subsequent points during updating, collecting images to extract multi-modal features, and adaptively updating the target fusion depth based on the geometric change of the subsequent points and the quality features of the precursor points; and during welding, processing quality and intervention abnormity early warning is carried out according to the real-time multi-mode characteristics, the processing parameters and the environment parameters.

The embodiment of the invention provides a turning and milling combined machining deformation control method and system for a special-shaped part, and is used for the technical field of numerical control machining. The turning and milling combined machining deformation control method for the special-shaped part comprises the steps that structural feature analysis and process association marking are conducted on design data of the special-shaped part to generate a feature association data set, and clamping and process planning are conducted according to a machining constraint database and the feature association data set to generate initial turning and milling combined machining process data; cutting parameter multi-objective optimization solution is carried out on the initial turning-milling combined machining process data to obtain a turning-milling cutting parameter set, and multi-axis linkage analysis and instruction collaborative planning are carried out on the turning-milling cutting parameter set according to the equipment operation feature set to generate a combined machining control instruction set. According to the method, through part key feature recognition and risk marking, combined machining control instructions are generated after layered digital twinning verification in combination with process multi-objective optimization, and the one-time qualified rate of special-shaped part machining and turn-milling combined machining process stability are improved.

The invention discloses a communication terminal and a communication terminal marking method. A communication terminal according to an embodiment of the present invention comprises: a receiving unit for receiving tag information; the safety carrier is connected with the receiving unit so as to acquire the mark information; the security carrier uses preset verification information to verify the mark information, and after verification is passed, mark data is generated according to the mark information; the container unit is used for receiving and storing the marking data, and the marking data is used for marking information interacted with the outside world. According to the communication terminal and the communication terminal marking method provided by the embodiment of the invention, the marking data can be safely stored.

The invention discloses a steel reinforced concrete member full-period management method based on industrial big data. The method comprises the steps that a member model is established through BIM modeling software, an easily-buckling area is screened in combination with finite element buckling analysis, a buckling monitoring point is arranged on the surface of an analysis plate body, and a plate body monitoring point is arranged on the splicing edge; extracting model coordinate data to generate processing parameters, and guiding plate cutting and monitoring point position marking; actual coordinates of all monitoring point positions in the profile steel component are obtained through laser scanning and compared with model coordinates, and reworking is triggered if errors exceed the limit; constructing a neural network model, inputting various parameters related to analysis of plate body buckling to obtain a predicted buckling monitoring point out-of-plane displacement value, and judging compliance; according to the method, the problems of low efficiency, error accumulation and lack of full-period closed-loop management of a traditional method are solved, the machining precision and the structural safety of the steel reinforced concrete member are remarkably improved, and the hardware cost and the detection time consumption are reduced.

The invention discloses a decorative plate detection device for building decoration, and belongs to the field of building decoration, the decorative plate detection device for building decoration comprises a workbench, the bottom of the workbench is fixedly connected with four supporting legs, and the upper end of the workbench is provided with a flatness detection device. The flatness detection device is arranged to be in contact with the rollers through chain driving, so that tiny unevenness on the surface of the decorative plate can be accurately detected, especially in convex and concave areas. Clear and accurate detection results are ensured through automatic adjustment and marking of the marking pen, errors caused by manual operation are reduced through the automatic marking function, marking accuracy is higher, follow-up finishing and machining are facilitated, stability of the device is kept in the movement process through adjustment of the spring A and cooperation of the movable plate and the rolling wheels, and reliability of the detection results is ensured.

The invention discloses a layout method and system of a full-automatic material circulation production line for luggage production. The method comprises the steps that a four-section type physical layout channel comprising a station entering line, a central shuttle line, a parallel type station line and a station exiting line is constructed; receiving a material box input by an external cutting area and executing direction correction of the material box through a self-adaptive steering module of a station entering line, and generating a standard material box; based on real-time position detection of an infrared dual-mode sensor on a material box in a station unit, a state marking signal with verification is generated; in response to a verification result of a completed area in the state marking signal, distributing a shuttle vehicle task instruction to a central shuttle line, and generating a workbin transfer path; and according to the material box transfer path, the shuttle vehicle is controlled to send the completed material box back to the piece cutting area through the outbound line, and the space of the completed area in the station unit is synchronously released. According to the embodiment of the invention, accurate orientation of material box circulation and efficient reuse of a station space can be realized, and credible tracing and real-time cooperation of a production state are ensured.

The invention discloses a report generation method and device supporting multiple layouts and multiple templates, and relates to the field of report generation. In the method, a report template table is created to determine a core parameter and an extension parameter of a target template, and a unique identifier of the target template is created based on the core parameter, the extension parameter and a timestamp; determining a layout code corresponding to the target template according to the identifier, selecting a target layout component from a preset layout component library according to the layout code to generate a layout description file, and generating a style sheet having a mapping relationship with the identifier according to the layout description file; constructing an element relationship network according to a row and column position relationship in the layout description file to record row and column coordinates and style marks of each report element so as to generate an element table, dynamically loading a subject tree, and providing a visual formula constructor to perform formula configuration so as to generate a formula table; and generating a report based on the element table, the formula table and the style table according to the target identifier. By implementing the technical scheme provided by the invention, the report template and layout can be flexibly customized.

The invention belongs to the technical field of big data, and discloses a drawing quality evaluation management system and method based on big data. Comprising the following steps: extracting meta-information of a drawing, and extracting a category identifier by utilizing file name data and professional data in the meta-information to obtain a category of the drawing; carrying out marking; key information of the drawing is obtained, and a designer risk factor, a standard conformity risk factor and a version difference risk factor are calculated; calculating an integrity evaluation value of the drawing; dividing the drawings into defect drawings and standard drawings by utilizing the integrity evaluation values of the drawings; dividing a defect drawing into a first-level defect and a second-level defect; for a first-level defect, starting a multi-dimensional feature missing rate quality evaluation method to calculate a quality score of the defect drawing; for the standard drawing, calculating a quality score of the standard drawing according to the basic quality score and the proportion matching degree; and accurate data support is provided for drawing design and examination.

The invention relates to a precision casting part surface defect automatic detection system, and relates to the casting part detection equipment technical field, the precision casting part surface defect automatic detection system comprises a workbench, the workbench is provided with a positioning assembly, a frame body, a detection mechanism, a marking assembly and a driving mechanism, the positioning assembly is used for fixing a to-be-detected product on the workbench; the frame body is connected to the workbench and provided with a standard casting part curved plate, and the curved plate and a to-be-detected product are oppositely arranged in parallel. The detection mechanism comprises a telescopic pipe assembly, when the surface of the to-be-detected product has defects, the length of the telescopic pipe assembly changes accordingly, the marking assembly comprises a first liquid containing box and a second liquid containing box which contain marking liquid of different colors, and when the telescopic pipe assembly stretches and retracts, the marking assembly can control the marking liquid of different colors to mark the defect positions of the to-be-detected product; the driving mechanism is used for driving the telescopic pipe assembly to move in the horizontal direction. The special-shaped curved surface casting part detection device can accurately detect the special-shaped curved surface casting part, and has the effect of marking the surface defects of the casting part.

The invention discloses a novel plastic product defect automatic detection device, and relates to the technical field of detection devices, the novel plastic product defect automatic detection device comprises a box body, an inner cavity of the box body is provided with a row of conveying rollers, the conveying rollers are used for intermittently conveying plastic product plates to be detected, and the inner cavity of the box body is provided with a detection assembly for performing defect detection treatment on the plastic product plates. According to the novel plastic product defect automatic detection device, the surface flatness of a plastic product plate is detected through the balls, when protrusions or recesses are detected, marking materials of different colors can be discharged through corresponding channels, marks are reserved at defect positions, operators can conveniently and visually judge whether the defect types are protrusions or recesses, and the detection efficiency is improved. A clear indication is provided for subsequent repair or replacement, the marking materials with two colors are accurately segmented by using the first partition plate and the second partition plate, the marking materials are ensured to accurately correspond to the convex or concave positions on the surface of the plastic product plate, and the marking accuracy and reliability are improved.

The invention discloses a method for identifying boundary features of a three-dimensional model of a closed cavity of an airplane, and provides a method for automatically and intelligently detecting the boundary features of the closed cavity in order to solve the problems that the extraction precision of the boundary features of the closed cavity is poor and the efficiency is low. Providing a minimum allowable gap recommendation mechanism based on a decision tree, and automatically extracting boundary part information; analyzing and screening an accurate boundary surface through a geometric distance and a normal vector included angle; and constructing a part attribute adjacency graph, and identifying the gap type of the closed cavity based on a GNN enhanced VF3 sub-graph isomorphism algorithm to realize automatic identification and marking of boundary parts and gaps of the closed cavity in the three-dimensional model. The method solves the problems of low manual detection efficiency and large error in a complex assembly environment, remarkably improves the precision and automation level of closed cavity boundary feature recognition, and is suitable for assembly area modeling scenes with few samples and high precision requirements in the field of aeronautical manufacturing.

A ship sub-assembly weld seam identification method, comprising: creating a point cloud weld seam identification training dataset by means of point cloud discretization, virtual sampling, weld-zone semi-automatic interactive annotation, and style transfer-based augmentation of ship sub-assembly CAD data; training a point cloud weld seam identification model, and exporting a weld seam identification model data file; using a 3D point cloud camera array as a sampling camera to collect workpiece 3D point cloud data of a sub-assembly workpiece to be welded at the production site; by means of the weld seam identification model data file, obtaining weld seam annotation position data and positioning a weld seam; and issuing a welding process plan and instruction to control a welding robotic arm and a control device therefor to complete sub-assembly workpiece welding. Also provided are a ship sub-assembly weld seam identification system, a computer device, and a computer-readable storage medium. The method overcomes the shortcomings in conventional 3D weld seam identification methods such as point cloud incompleteness and identification failures caused by steel types and the imaging angles of 3D cameras, thereby greatly improving the adaptability of automatic weld seam identification methods to complex workpieces.

The present invention provides a teaching-free welding robot path planning system based on visual autonomous learning, which relates to the field of industrial welding technology. The system comprises: a posture compensation module for arranging three infrared reflective marking points in an L-shape on the surface of a fixture base, using a stereo camera to collect the original point cloud of the marking points and the workpiece, and preprocessing the point cloud; generating a posture compensation matrix based on the offset between the actual coordinates and the theoretical coordinates of the marking points, and outputting a denoised point cloud data set and the compensation matrix; a posture correction module for fitting the workpiece plane equation based on the denoised point cloud data set using a random sampling consistency algorithm, applying the posture compensation matrix to the workpiece plane equation, correcting the posture error caused by fixture drift, calculating the coordinates of the weld trajectory endpoints, and outputting the corrected weld posture parameters and scanning posture instructions. The present invention can compensate for fixture drift, correct weld posture, extract three-dimensional features, and plan a collision-free path, thereby improving welding accuracy, efficiency, and automation.

The embodiments of the present invention disclose a packaging printing method and a system. The packaging printing method comprises: marking a paper to be printed, the mark content comprises a trimming mark and a registration mark; obtaining cutting position data based on the trimming mark and registration mark; laser-cutting the edge and the positioning hole of the paper to be printed based on the cutting position data; based on the position of the positioning hole, placing the paper to be printed on a corresponding preset printing position for printing in the specified area. Through the embodiments of this application, the technical problem of how to improve the efficiency and quality of packaging printing is addressed.

The utility model relates to the technical field of geological survey marking, and discloses a geological survey marking device convenient to install, which comprises a main body structure and an auxiliary structure, the outer wall of the main body structure is fixedly connected with the auxiliary structure, the main body structure comprises a shell, and a storage box is slidably connected in the shell. A strong spring is fixedly connected to the inner wall of the storage box, one end of the strong spring is fixedly connected with a push plate, a plurality of sets of marking rods are vertically placed in the storage box, the auxiliary box is placed on the ground needing to be marked, a control motor is started to work, the output end of the motor drives a drill rod and a ground breaking drill bit to rotate, and the marking rods are arranged on the ground. Then the lifting air cylinder is controlled to work, the output end shrinks to drive the carrying plate to move downwards, meanwhile, the ground breaking drill bit continuously moves downwards when drilling the ground, the ground breaking drill bit can conveniently go deep into the deeper position of the ground and crush a hard soil layer, in this way, workers can conveniently insert the marking rod, and the marking rod can go deep into the soil layer and is not prone to falling down.

The invention discloses film product defect detection equipment and a method thereof. The film product defect detection equipment comprises a transmission assembly, a marking assembly and a pressure assembly, the transmission assembly is used for carrying out detection transmission on a to-be-detected film, the marking assembly is used for carrying out real-time detection and marking positioning on physical defects on the film, and the pressure assembly is used for carrying out tensile detection on the film; the film product defect detection method comprises the following steps: S1, a preparation stage; s2, a transmission stage; s3, a defect detection marking stage; and S4, a tensile detection stage. A second electric air cylinder pushes a pressure roller to carry out tensile detection on a film, a reciprocating lead screw, a lead screw nut, a push block, a clamping block, a pressing block and other structures in the same-pressure assembly are matched with one another, synchronous small-range tensile detection can be carried out on the film in the moving process of the pressure roller, the synchronism of detection of all parts is ensured through a synchronization unit, and the detection accuracy is improved. Reliable detection data is provided for the tensile property of a film product, and the product quality is guaranteed.

The invention relates to the technical field of unmanned aerial vehicle application and highway engineering monitoring, in particular to a highway slope engineering inspection unmanned aerial vehicle which comprises a multi-rotor aircraft provided with a flight controller, the bottom of the multi-rotor aircraft is connected with a first holder, a plurality of supporting legs are arranged on the periphery of the first holder, and a second holder is arranged at the bottom of the first holder. An equipment tray is arranged at the bottom of the second holder; the laser projector is fixed at the bottom of the equipment tray and is used for projecting a reference image; the marking gun is fixed at the bottom of the equipment tray and is used for emitting marking paintballs; the high-definition camera is fixed to the bottom of the equipment tray and located between the laser projector and the marking gun. Optical axes of the high-definition camera and the laser projector are parallel to each other and are consistent with the emission direction of the marking gun; through multi-module collaborative operation, the slope inspection efficiency and precision are remarkably improved, and the system is particularly suitable for high-precision and automatic slope disease detection and safety evaluation under complex terrain conditions.

The invention provides an automatic laser marking machine for toothbrush production, and belongs to the technical field of toothbrush production, the automatic laser marking machine comprises a conveying belt, a marking machine shell is arranged above the conveying belt, a movable plate is installed on a sliding rod on the marking machine shell, a laser marking head is installed in the movable plate in a sliding mode, and an adjusting assembly is installed on the laser marking head; a moving groove is formed in the conveying belt, a connecting plate is slidably mounted in the moving groove, a damping shaft is fixedly arranged on the connecting plate, a first supporting plate, a second supporting plate and a third supporting plate are mounted on the damping shaft, and placing grooves are formed in the first supporting plate, the second supporting plate and the third supporting plate; the front side and the rear side of the connecting plate are connected with the conveying belt through a first elastic rope and a second elastic rope correspondingly. The problems that an existing laser marking machine cannot conduct horizontal marking or oblique marking on toothbrushes in the same row, so that the classification marking function is achieved through the marking machine, and follow-up marking cannot be achieved through a sliding structure in the continuous toothbrush conveying process are solved.

The invention relates to a method for identifying a picture block and a picture label in an architectural drawing, a storage medium and electronic equipment. The method comprises the following steps: acquiring coordinate information of end points of all straight line segments detected from the architectural drawing; constructing a two-dimensional line segment tree by utilizing the coordinate information of the end points of all the straight line segments; performing traversal search on the two-dimensional line segment tree by adopting a depth-first search algorithm to obtain a plurality of target straight line segments related to an outer frame of a drawing frame area in the architectural drawing in all straight line segments, and determining the position of the drawing frame area based on the plurality of target straight line segments; based on the position of the drawing frame area, the drawing label area in the architectural drawing is recognized from the drawing frame area, and compared with an existing manual drawing frame marking method, the workload can be reduced, and the recognition efficiency is improved.

The invention relates to the technical field of building automation and robots, and discloses a floor robot cutting system based on self-adaptive visual guidance. The technical problems that an existing floor cutting robot excessively depends on a preset path, and the adaptability is poor and the cutting precision is low when the actual working conditions that errors exist between on-site marking lines and design drawings and the ground is uneven exist are solved. An actual cutting datum line is captured and recognized in real time through a visual perception module carried on a robot body, and structured path information is generated; and then the self-adaptive control module dynamically plans and corrects the motion trail of the robot according to the deviation between the visual feedback information and the current pose of the robot so as to guide the cutting execution mechanism to accurately work, so that the accuracy loss caused by environment change and construction errors in a traditional scheme is effectively overcome, and the cutting efficiency is improved. And the operation precision, the field environment adaptability and the automation level of automatic floor cutting are remarkably improved.

The invention provides an overlay mark structure and an overlay error measuring method.The overlay mark structure comprises a front-layer overlay mark and a current-layer overlay mark, the front-layer overlay mark comprises a plurality of first sub-overlay marks, the current-layer overlay mark comprises a plurality of second sub-overlay marks, and the first sub-overlay marks are arranged on the first sub-overlay marks. The plurality of first sub-overlay marks form a hollow first square, the plurality of second sub-overlay marks form a hollow second square, the first square surrounds the second square, and the center of the first square coincides with the center of the second square; and each first sub-overlay mark comprises a plurality of grooves filled with marking materials. According to the invention, the load effect problem during etching is reduced through the arrangement of the plurality of grooves, and the etching depth at the position of the front-layer overlay mark is increased, so that the completeness and identifiability of the front-layer overlay mark are ensured.

The invention discloses an equipment health state prediction question-answering system and method for pre-training a large language model. The system comprises an acquisition module, a marking module, an editing module, a prediction module and an interaction module. The acquisition module is used for acquiring time sequence data of industrial production equipment and preprocessing the time sequence data to obtain processed data; the marking module is used for dividing and marking the processed data to obtain a marked sequence; the editing module is used for reprogramming the mark sequence to obtain word representation of the time sequence data; the prediction module is used for collecting the health state of the industrial production equipment for prediction based on the word representation to obtain a prediction result; and the interaction module is used for interacting with the user to complete question and answer communication of the prediction result. According to the method, a large amount of structured and unstructured data can be processed, so that the key indexes and modes of the health state of the equipment are identified more accurately, the health state of the equipment is predicted, instant early warning information is provided, and an enterprise is helped to take measures before a fault occurs.

The invention relates to an optical distance measuring device with an automatic calibration function and a measuring method thereof, and relates to the technical field of measuring devices.The optical distance measuring device comprises a base, a calibration piece is arranged on the base, a liftable supporting plate is arranged above the base, and a laser range finder and a measuring plate which are opposite to each other are arranged on the supporting plate; the device further comprises a probe assembly, a moving assembly, a follow-up air injection assembly and a follow-up marking assembly, the follow-up marking assembly is connected to the probe assembly, and the probe assembly makes contact with and extrudes the measuring face, so that the follow-up marking assembly automatically marks the uneven position of the surface. When the uneven position is detected, the marking coating is sprayed out of the annular spraying pipe by extruding the second air bag, the uneven position is marked in real time, marking is convenient and rapid, the time and energy of manual marking are saved, the uneven position which is automatically marked is convenient for workers to directly observe, and the efficiency of follow-up repairing or processing work is improved.

The invention belongs to the technical field of printing production line management, and particularly relates to an intelligent monitoring management method and system for a packaging and printing production line, and the system comprises a production quality monitoring unit which comprises an industrial camera, an image processing module and a defect grading alarm module; the batch traceability unit comprises a laser coding machine, a three-dimensional storage location distribution engine and a block chain database; based on dynamic storage location allocation strategy matching of a batch traceability unit, storage locations can be allocated to different batches of printed products according to risk coefficients, visualization of subsequent storage of the printed products is ensured, in addition, traceability codes of the printed products are bound with storage location coordinates, and it is ensured that data cannot be tampered based on a block chain; in the environment regulation and control process, automatic temperature and humidity regulation is driven based on deviation degree calculation, and secondary defects are blocked; and finally, the central control unit gets through a'defect discovery-traceability marking-storage location isolation-environment suppression 'full link, solves the problem of data splitting caused by equipment heterogeneity, and constructs a printing production full life cycle monitoring system.

The invention relates to the technical field of circuit board manufacturing, and discloses a full-process tracing method and system for a packaged product, and the method comprises the steps: obtaining the production data of a first plate of an incoming material, and enabling the production data to at least comprise a process route of the first plate and a corresponding pnl code; correspondingly generating a traceability identifier based on the production data, wherein the traceability identifier is used for marking the first plate; in any processing procedure process of the process route, identifying the traceability identifier of the processed first plate to obtain the corresponding pnl code, and obtaining the processing information corresponding to the traceability identifier, the processing information comprises at least one of a processed procedure type, scrap information registration, processing form change and regional defect identification data. According to the technical scheme, the problem that the processing information data in the working procedure cannot be recorded and integrated to the board-level product manually is solved, all defective product information can be traced and checked before delivery, and the risk that defective products flow out is effectively avoided.

The invention relates to a deep learning-based aircraft surface mark point coarse positioning method and a medium, and relates to the technical field of aviation. According to the scheme, the surface image information of the aircraft is collected, the image information is preprocessed and then input into the mark point coarse positioning neural network for mark point recognition, feature extraction and residual processing are carried out through the backbone network to obtain four feature maps, and then the four feature maps serve as input of the neck network; and after feature fusion processing of the feature pyramid network, a mark point identification feature map is obtained through detection of a detection head. And finally, based on the final detection result of the mark point, carrying out coarse positioning on the mark point. Due to the fact that feature extraction is carried out by combining cavity convolution of multiple expansion rates, horizontal edge perception convolution processing and vertical edge perception convolution processing, space information and edge information can be integrated in feature extraction, and the phenomena of false detection and missing detection of mark points in aircraft surface mark point coarse positioning based on deep learning are reduced.

The invention relates to a sectional type positioning installation method and system for a steel structure frame, and relates to the technical field of building structure construction. The method comprises the steps that three-dimensional coordinate measurement is conducted on the embedded bolt through a total station, a deviation value recording table is obtained, and a control network and a marking system are established; the method comprises the following steps: performing ultrasonic flaw detection and pre-tension reinspection on a steel structural member, performing ground pre-assembly to obtain a single-section steel frame model, and performing optimization treatment to form a number marking system and an assembly sequence diagram; a steel structure is divided into a plurality of independent installation units, and preliminary positioning is achieved through a temporary fixing technology; secondary measurement is carried out, fine adjustment is carried out through an ejector and a wire drawing device, accumulated deviation is dispersed through an overall balance method, and the pre-camber is set to obtain a stable frame system; the high-strength bolts are finally tightened, and welding construction is conducted; the roof system is installed in a batched concentrated hoisting mode. The problem that accumulated errors are difficult to control in traditional steel structure installation is solved, and the installation precision and efficiency are improved.