5698 results about "Steel structures" patented technology

The invention relates to the technical field of building construction monitoring, and discloses a method for evaluating mechanical properties of a steel structure building construction whole process based on digital twinning. The method comprises the steps of establishing a digital twin model fusing multi-source information, and performing real-time linkage with a sensor network arranged on site. Collected data such as deformation, temperature and wind speed are processed through dynamic fusion and an anomaly recognition algorithm, model parameters are continuously corrected, and real-time dynamic high-fidelity mapping of the mechanical state in the construction process is achieved. And based on the updated model, the intelligent analysis module performs cooperative calculation, autonomously identifies construction abnormity, quantitatively predicts potential risks, generates a process optimization decision instruction and feeds back the process optimization decision instruction to a site. According to the method, a closed-loop regulation and control mechanism from data perception, model analysis to decision execution is constructed, and accurate online evaluation of construction mechanical properties and active prediction control of safety risks are realized.

The invention relates to a steel structure engineering welding quality defect analysis method based on voiceprint monitoring, and the method comprises the steps: carrying out the multi-channel voiceprint synchronous collection, time-frequency feature fusion, wavelet packet analysis and Mel-frequency cepstral coefficient extraction for a plurality of defect features fused in voiceprint data in a welding process; a hierarchical semantic concept space and a dynamic causal relationship generation model are established in combination with a welding physical knowledge base, a causal knowledge graph is constructed, causal association between semantic concepts is deduced through a gating circulation unit and a graph neural network, anti-fact disturbance and path aggregation analysis is carried out on a causal graph structure, and a result is obtained. And finally, defect category probability output and causal traceability graph visual display are realized. According to the scheme, the accuracy, traceability and result interpretability of welding defect recognition are effectively improved, and data support is provided for intelligent diagnosis and continuous model optimization in the welding process.

The invention discloses an intelligent welding control system and method based on multiple sensors and electronic equipment, and belongs to the technical field of automatic welding, the system comprises a sensing layer, a decision-making layer and an execution layer, through cooperative work of a front laser vision sensor, a rear laser vision sensor and a molten pool image sensor, a groove three-dimensional model can be accurately established before welding, and the welding precision is improved. And dynamic information of the molten pool is continuously collected in the welding process, a dual monitoring mechanism for the geometric characteristics of the welding line and the state of the molten pool is formed, and multi-source data collection and fusion in the whole welding process are achieved. The control method comprises the steps of pre-scanning modeling, feedforward parameter planning, real-time feedback adjustment of a molten pool, data fusion optimization and the like, and high-precision self-adaptive control over welding parameters is achieved by combining deep learning and the Kalman filtering technology. According to the method, the welding adaptability, the control precision and the intelligent level can be remarkably improved, and the method is suitable for high-precision welding scenes such as pipelines, pressure containers and steel structures and has remarkable engineering application value and popularization prospects.

The invention discloses a steel structure welding guiding and positioning device, which relates to the technical field of steel structure processing, and comprises a main body supporting frame, a workpiece dynamic limiting and conveying unit and a self-centering clamping and welding module, and is matched with a guiding and feeding mechanism, a self-adaptive reducing connecting cabin and a multi-dimensional self-adaptive welding gun executing mechanism to realize integrated welding and positioning. The main body frame serves as a bearing foundation, the guide feeding mechanism drives guide rollers to stably feed through meshing transmission, the stability is improved through a surface pattern sleeve, the dynamic limiting unit forms bidirectional limiting through an adjusting screw, a cross connecting rod and a driving limiting shaft rod and is adaptive to different workpieces, and the self-centering clamping module adjusts the distance through gear transmission. A profiling clamping jaw is matched with a spring to achieve self-adaptive clamping, an anti-vibration pad protects a workpiece, a self-adaptive connecting cabin adjusts the height of a welding gun, a multi-dimensional welding gun mechanism achieves accurate alignment in the X direction and the Z direction, all parts of the device are in cooperative linkage, the welding positioning accuracy and adaptability are improved, and the welding quality of a steel structure is guaranteed.

The invention relates to the field of welding quality detection, and discloses a steel structure welding quality detection method and system based on machine vision, and the method comprises the steps: obtaining an original welding seam image sequence through high-frequency sampling, and carrying out the preprocessing to generate a clear sequence; extracting features from the sequence to obtain a welding seam static defect index; time sequence data are constructed according to the time arrangement characteristics, and a dynamic time sequence data set is obtained by calculating the welding seam symmetry fluctuation amplitude and the molten pool shape change trend; inputting the data set into a neural network model, analyzing a surface profile curve time sequence evolution mode, and determining potential defect points; extracting a crack period amplitude sequence from the potential defect points, and performing Fourier transform to obtain a defect frequency distribution diagram; extracting a frequency peak value position from the graph, judging process parameter deviation, generating an alarm and updating a database; and determining a sampling frequency deviation value according to the alarm, adjusting the high-frequency sampling frequency through feedback circulation, and optimizing dynamic detection. According to the invention, the detection real-time performance, the accuracy and the parameter adjustment accuracy are improved.

The invention relates to the technical field of intelligent control of heavy equipment, in particular to a hydraulic synchronous intelligent control system for segmented turnover of an overweight steel structure, and discloses the hydraulic synchronous intelligent control system for segmented turnover of the overweight steel structure. According to the system, full-field strain data of a structure surface is acquired by deploying a flexible grid sensor array, and a deformation gradient topological graph is constructed to identify an instability risk area. And a dynamic fluid network model of the hydraulic system is established, fluid-solid coupling simulation is carried out in combination with deformation characteristics, and pressure pulsation transmission paths under different control instructions are predicted. And the system dynamically optimizes a data sampling strategy and network model parameters according to a prediction path, generates a hydraulic cylinder coordination action instruction subjected to pressure balance verification, and finally drives an execution mechanism to complete turnover operation. According to the scheme, full-field real-time sensing of structural deformation and dynamic coupling prediction control of hydraulic fluid are achieved, and the safety and control precision of the overweight component in the turnover process are improved.

The invention discloses a contact force field-based topological optimization design method for a detachable steel structure beam-column joint reinforcing member, which comprises the following steps of: (a) establishing an integral joint finite element model, defining a frictional contact relationship and carrying out nonlinear static analysis; (b) extracting node counter-force components on all contact surfaces and taking the node counter-force components as equivalent loads acting on a reinforcing component; (c) establishing a reinforcing member independent optimization model, applying an equivalent load and defining an inertia release boundary; (d) setting a design variable, a constraint condition and a target function of topological optimization, and solving; and (e) carrying out geometric reconstruction and performance verification on an optimization result. According to the method, a complex contact nonlinear problem is converted into a determined load boundary condition, an inertia release method is utilized to deal with a constraint problem in optimization ingeniously, an optimal topology result of the detachable reinforcing component is obtained finally, and the problem of optimization result distortion caused by the uncertain boundary condition is effectively avoided.

According to the large-span steel structure refined construction method based on the simulation model, through whole-process refined simulation and optimization, the construction level of a large-span steel structure is remarkably improved, the construction scheme is determined based on a multi-objective optimization algorithm, accurate design of parameters such as hoisting, supporting and monitoring is achieved, a temperature field model is combined with actual measurement correction, and the construction efficiency is improved. The integration of optimization closure temperature, node semi-rigidity and initial defects enables simulation errors, support stability evaluation and optimization guarantee of safety coefficients, most construction risks can be predicted in advance on the whole, the field adjustment time is shortened, the formal construction period is shortened, the construction efficiency and safety are greatly improved, the obvious engineering value and economic benefits are achieved, and the method is suitable for popularization and application. The problem that an existing large-span steel structure construction method lacks a calculation model for predicting the risk in advance and shortening the construction period by combining multi-aspect data is solved.

The invention discloses an intelligent suspension conveying device for a steel structure workshop, and relates to the technical field of suspension conveying, the intelligent suspension conveying device comprises a beam frame, a stand column is fixedly mounted on the side of the bottom of the beam frame, and a stable supporting seat is fixedly mounted at the bottom of the stand column; and a guide assembly. According to the intelligent hanging and conveying device for the steel structure workshop, steel structure pipe fittings penetrate through penetrating grooves to be placed above positioning rods by workers, gaps among the multiple positioning rods can correspond to the surfaces of the pipe fittings on the bottom layer, so that the pipe fittings are prevented from rolling in the hanging and conveying process, in addition, the multiple layers of pipe fittings are stacked between side connecting plates in a staggered mode, and the conveying efficiency is improved. The side connecting plates can prevent the outer sides of the pipe fittings in the stacked state from being directly exposed in the conveying path, and the pipe fittings are prevented from being rubbed with the support, the stand column or other conveying units. The limiting clamping pieces installed on the surfaces of the side connecting plates make contact with the surfaces of the pipe fittings on the outer side, so that the friction force between the limiting clamping pieces and the surfaces of the pipe fittings is increased, and the pipe fittings are prevented from shaking in the hanging transportation steering process.

The invention discloses a vibration monitoring and displacement identification method for a towering steel structure based on machine vision, and relates to the technical field of towering steel structures. Comprising the following steps: S1, visual acquisition and reference calibration: arranging visual acquisition equipment in the height direction and the circumferential direction of the towering steel structure according to mechanical characteristics of a vertical stiffness mutation region and a dynamic response sensitive part of a geometric asymmetric distribution characteristic of the structure; a three-dimensional coordinate system is established based on a structure installation reference surface, fixed reference monitoring points are arranged in a tower foot symmetric area and a mast antenna root, three-dimensional coordinate data of the reference points are synchronously collected, the collection range completely covers a node concentration area and a key stress part of a structure transparent area, and a continuous image sequence of the structure surface is captured in real time; the resolution and the sampling frequency of the visual acquisition equipment are determined according to the inherent frequency of the structure and the vibration response characteristics, and calibration is completed through reference point coordinates after the equipment is installed; s2, carrying out image preprocessing and feature enhancement; S3, carrying out feature point extraction and trajectory tracking; S4, carrying out vibration displacement calculation and twin fusion; and S5, carrying out multi-source verification and structural state linkage treatment.

The invention relates to the technical field of steel structure welding, and discloses a method for machining and detecting a square rectangular steel pipe for an assembly type steel structure residence, and the method comprises the following steps: obtaining the wall thickness and a to-be-welded position of a to-be-machined steel pipe, determining a groove parameter according to the wall thickness, and welding at the to-be-welded position by adopting laser-arc hybrid welding based on the groove parameter, welding seams are formed; visual data, ultrasonic data, stress data and deformation data of the welding seam are obtained; and performing fusion analysis based on the visual data, the ultrasonic data, the stress data and the deformation data, evaluating the safety level of the welding seam according to a fusion result, and performing risk early warning based on the safety level. According to the method, the wall thickness is matched with groove parameters, laser-arc hybrid welding is carried out, the welding adaptability and efficiency are improved, the welding seam quality is optimized, multi-dimensional data are synchronously collected in the welding process, real-time linkage of machining and detection is achieved, multi-data fusion analysis supports welding seam safety level evaluation, potential quality hazard recognition is carried out, and high-quality construction of the fabricated steel structure house is assisted.

The invention discloses a modular steel structure building connecting joint and a design, construction and disassembly method thereof, which are used for connecting an upper layer module unit and a lower layer module unit or a lower layer foundation, and a frame column is a split type frame column and comprises an upper column section, a lower column section, a connecting steel plate and a column transverse locking pin shaft, the quick positioning, assembling and disassembling assembly comprises a pressure-bearing gusset plate, a conical guide column and a node transverse locking pin shaft, the pressure-bearing gusset plate is horizontally arranged and used for being connected with a lower-layer module unit or a lower-layer foundation, and the conical guide column is fixedly connected to the top face of the pressure-bearing gusset plate. The connecting joint is convenient to transport, can be quickly mounted on site, and can be reused after being dismounted.

The invention relates to the technical field of computer vision, and discloses a vision-based steel structure positioning and grabbing method, which comprises the following steps of: acquiring a steel structure image through a polarization-adjustable multi-light source array and inhibiting reflective interference; performing multi-scale feature extraction on the image to generate a feature point cloud containing welding seam and contour information; if the point cloud has shielding missing, extracting a topological sub-graph of a corresponding region from a pre-stored BIM model; seamlessly splicing the topology sub-graph and the field point cloud by taking curvature continuity as a constraint to generate a compensation point cloud; and finally, the manipulator is controlled to execute avoidance grabbing in combination with the boundary coordinates of the reflective area. The method effectively solves the problems of incomplete point cloud data and low grabbing precision of the steel structure in light reflection and shielding environments, realizes high-precision pose reconstruction and safe grabbing control, and is suitable for automatic construction and assembly scenes of the steel structure.

The invention discloses a steel structure construction safety risk real-time identification and early warning method, which comprises the following steps of: constructing a space-time group behavior model by collecting multi-source context data such as a construction stage, an environmental parameter, a task type and personnel allocation and combining space trajectories and behavior characteristics of multi-role personnel through standardization and feature coding; context-enhanced behavior anomaly detection is realized through deep learning and a graph neural network, and abnormal behaviors are discriminated in real time and early-warned and pushed based on an early-warning information generation mechanism adaptive to a dynamic threshold value and a context; on-site feedback is utilized to realize online incremental learning and adaptive optimization of the model, the sensitivity of behavior recognition to on-site state and task change is enhanced, the accuracy and response timeliness of anomaly detection are improved, and intelligent upgrading of construction safety management is assisted.

The invention discloses a steel structure digital modeling method and system, and the method comprises the steps: obtaining high-precision point cloud data of a steel structure member through a laser scanning technology, carrying out the noise filtering and point cloud segmentation of the point cloud data, automatically recognizing the geometric features of the steel structure member through a geometric feature recognition technology, and distributing a unique identifier, the method comprises the following steps: collecting non-geometric attribute data of a steel structure component from a plurality of heterogeneous information sources, fusing the non-geometric attribute data through priority ranking and a conflict resolution mechanism, performing semantic reasoning completion based on component types, function positioning and engineering specifications, performing strict consistency verification on the completed non-geometric attribute information, and outputting the non-geometric attribute information in an industry general format; according to the method, comprehensive, efficient and accurate digital modeling of the existing steel structure component is realized, the core problems of data missing, information isolation, much manual intervention, low efficiency, error accumulation and the like in the prior art are effectively solved, and a solid and reliable digital foundation is provided for transformation, maintenance and management of steel structure engineering; and the method has remarkable engineering application value and economic benefit.

The invention discloses a steel structure construction safety risk dynamic assessment method and system based on artificial intelligence. The method comprises the steps of obtaining a multi-dimensional data set in real time; based on the multi-dimensional data set, a deep learning algorithm is adopted to fuse an image and a sensor signal, a structure defect is accurately identified, and a defect feature vector is extracted; when the defect feature vector exceeds a preset threshold value, a machine learning classifier is introduced to construct a risk assessment model, classification quantification of defects is realized, and an initial risk level is output; for the initial risk level, analyzing the space-time fusion data by using a probability state transition model, simulating the dynamic evolution trend of the risk and judging the stability of the risk; a mapping model is constructed based on a virtual simulation technology, dynamic simulation deduction is carried out on risk changes, and a visual visualization report and a graded early warning signal level are generated. According to the invention, full-chain intelligent closed loop from defect perception to risk prospective early warning is realized, and the safety management and control level and accident prevention capability of a construction site are greatly improved.

The invention belongs to the technical field of environmental risk assessment, and particularly discloses a BIM-based fabricated steel structure assembly scheme comparison and selection method and system, and the method comprises the steps: building a three-dimensional building model based on BIM software, and extracting component information and GIS data; establishing national and local standard libraries, matching applicable standards through building positioning information, and generating parameterized assembly rules; generating a plurality of assembly type combination schemes according to rules and component logic, and interactively binding with the BIM model; calculating an assembly rate and a standard score of each scheme, and screening candidate schemes meeting structural safety and a cost threshold value; and constructing an incremental cost library, completing cost difference analysis of the candidate schemes, and outputting an optimal assembly type steel structure combination scheme. And data driving and automatic comparison and selection in the whole process are supported, the method can be applied to prefabricated building scheme design and optimization links, and the design efficiency and the scheme economy are improved.

The bearing and transferring structure based on steel structure machining comprises a moving assembly, a hydraulic cylinder is fixed to the top of the moving assembly, a mounting piece is fixed to the output end of the hydraulic cylinder, elastic telescopic mechanisms are mounted on the two sides of the mounting piece correspondingly, and the two elastic telescopic mechanisms are used for bearing I-shaped steel; a second conducting strip electrically connected with the elastic telescopic mechanism is installed at the bottom of the elastic telescopic mechanism, a connecting arm is fixed to the bottom of the moving assembly, and a first conducting strip used in cooperation with the second conducting strip is installed on the inner wall of the bottom of the connecting arm. The mounting part and the elastic telescopic mechanism are driven by the hydraulic cylinder to move up and down, power-on and power-off of the electromagnet are controlled by combining on-off of the first conducting strip and the second conducting strip, and automatic stretching and retracting of the elastic telescopic mechanism are achieved. When I-shaped steel is transferred, the clamping pieces can automatically complete the actions such as contraction avoiding and reset clamping only by controlling the hydraulic cylinder and the circuit to be switched on and switched off, and the distance between the two clamping pieces can be flexibly adjusted through the design of the elastic telescopic mechanism.

The invention discloses a steel structure butt welding adjusting device which comprises a supporting plate and supporting rods fixed to the four corners of the bottom of the supporting plate. A grinding part is arranged in the butt joint mechanism, in the butt joint process of the two steel structure bodies, the grinding part can make contact with the steel structure bodies along with continuous movement of a driving part, the grinding part comprises a coarse grinding plate, a fine grinding plate and a polishing plate, in the grinding process, a sliding plate slides on the top of a supporting plate along with a mounting plate driven by the driving part to move, and the grinding plate is in contact with the grinding part. The rough grinding plate firstly makes contact with the rotating steel structure main body and conducts comprehensive rough grinding on the end face of the steel structure main body through rotation of the steel structure main body, and due to the fact that a second gear at the bottom of a lead screw is meshed with a second rack at the bottom of a mounting shell, the lead screw can rotate, and therefore when a grinding piece moves to a certain degree, the grinding piece can rotate. And the rough grinding plate, the fine grinding plate and the polishing plate can sequentially treat the steel structure body and then move downwards into the second mounting frame.

The invention discloses a steel structure beam unit section intelligent optimization method and device and a medium. Obtaining a target beam unit of which the cross-sectional area is to be calculated, and obtaining a current axial force, a current allowable stress and a plurality of working conditions corresponding to the target beam unit; obtaining an initial beam unit cross-sectional inertia moment, and respectively calculating an initial beam unit cross-sectional area, an initial X-direction cross-sectional modulus and an initial Y-direction cross-sectional modulus through a preset initial beam unit cross-sectional inertia moment function; for each working condition, calculating a beam unit cross-sectional area corresponding to each working condition through a beam unit cross-sectional area intelligent optimization calculation method; and in each beam unit cross-sectional area, selecting the maximum beam unit cross-sectional area as a target beam unit cross-sectional area corresponding to the target beam unit, and feeding back the target beam unit cross-sectional area to a user. The problems that calculation is complex, the calculated amount is large and accuracy is poor due to the fact that the cross section area of the beam unit is determined through artificial experience are solved, and the accuracy of calculating the cross section area of the beam unit is improved.

The utility model belongs to the technical field of high-rise steel structure machining, and particularly relates to a steel fixing device for high-rise steel structure machining, which comprises a mounting seat, two annular tracks are fixedly mounted at the top of the mounting seat, an annular sliding block is slidably mounted between the two annular tracks, a bearing column is fixedly mounted on the inner side of the annular sliding block, and the bearing column is fixedly mounted on the top of the mounting seat. And the mounting frame is fixedly mounted at the other end of the bearing column, four symmetrically-distributed strip-shaped sliding blocks are slidably mounted on the other side of the mounting frame, and the same adapter block is fixedly mounted between one sides of the horizontally-adjacent strip-shaped sliding blocks. According to the angle steel fixing device, the driving assembly is controlled to work to adjust the mounting frame to be in a horizontal posture, then the bending angle of angle steel is limited through the clamping groove, meanwhile, a columnar steel structure can be positioned, and therefore the angle steel-shaped steel structure and the columnar steel structure can be fixed, and the adaptability of the steel structure is further improved.

The invention belongs to the technical field of intelligent monitoring, and particularly discloses an air-ground data-driven complex steel structure construction mechanics twinborn model automatic establishment and performance prediction method. Comprising the following steps: establishing a target optimization function which takes the surface coverage rate of a structure as a core index to carry out optimization design of the number of observation stations and a space layout path; reverse reconstruction of the three-dimensional geometric digital twin model of the structure is completed; self-adaptive updating of the designed finite element model is achieved through coordinate registration and parameter correction, and a mechanical twinborn model reflecting the real working condition is generated; and carrying out construction static force and operation period power simulation based on the mechanical twinborn model. The geometry-mechanics integrated modeling process provided by the invention can effectively reflect the real state of the structure at the construction stage, and improves the construction quality control and safety evaluation capability; meanwhile, the method has high automation and universality, and is suitable for digital modeling and monitoring requirements of multi-type and large-scale complex steel structures.

The invention discloses a prefabricated heat preservation groove type plate floor slab system of an assembly type steel structure trestle, and relates to the technical field of groove type prefabricated heat preservation floor slabs, the prefabricated heat preservation groove type plate floor slab system comprises an anti-skid face plate and a heat preservation bearing mechanism, the heat preservation bearing mechanism is arranged at the bottom of the anti-skid face plate, the heat preservation bearing mechanism comprises a plurality of sealing plates, and the sealing plates are arranged in the anti-skid face plate. The multiple sealing plates are arranged and located at the bottom of the anti-skid panel, multiple second supporting blocks are arranged at the bottoms of the sealing plates, groove-shaped plates are arranged on the outer sides of the multiple second supporting blocks, structural blocks are integrally formed through pouring and extruding, reinforcing strips are arranged on the inner walls of the structural blocks, and the structural blocks and annular hoops form a two-way constraint combined framework which can bear bending moment and shearing force; therefore, the bending resistance, the shearing resistance, the torsional rigidity and the overall bearing capacity of the plate body are improved on the premise that heat preservation is not affected on the whole, the engineering problems are avoided, and normal construction work and construction time are maintained.

The invention discloses a steel structure welding and riveting deviation correction device and method.The steel structure welding and riveting deviation correction device based on visual localization comprises a platform, rectangular grooves are formed in the left side and the right side of the top of the platform correspondingly, and sliding seats are slidably mounted in the two rectangular grooves correspondingly; the tops of the two sliding seats are fixedly provided with the same U-shaped frame, the U-shaped frame is provided with a first drive adjusting mechanism, and the first drive adjusting mechanism is provided with a visual positioning deviation detection assembly and a deviation correction assembly. The device is reasonable in design, the welding and riveting deviation part of the steel structure can be accurately detected, the deviation position can be accurately locked, the accuracy of welding and riveting deviation detection and position judgment of the steel structure is greatly improved, the welding and riveting deviation position can be automatically and accurately corrected, and the welding and riveting precision is improved. In addition, welding and riveting deviation detection and deviation calibration work of different parts of the steel structure can be achieved, and multi-position detection and calibration work can be completed without moving the steel structure.

The invention discloses an assembly type steel structure connection quality detection method and system, and relates to the technical field of steel structure assembly and intelligent detection, and the method comprises the steps: collecting node vibration, strain and image signals, carrying out the preprocessing, and constructing a detection data set; calculating characteristic parameters of connection of the bolt and the weld joint based on the detection data set, and outputting a comparability index through normalized mapping; performing weighted synthesis on the comparability index of the bolt connection index and the weld joint connection, generating a node quality score, and establishing a grading threshold parameter; and calling a node quality score and a grading threshold parameter, executing a segmentation judgment function to output a node quality grade, and executing data verification on a segmentation judgment function result. According to the method, multi-source signals are synchronously collected and subjected to standardized processing, the connection characteristics of bolts and welding seams are fused, a unified quality scoring and grading judgment system is established, and quantitative and traceable evaluation of the connection quality of the fabricated steel structure is achieved.

The invention belongs to the technical field of anchoring part fastening structures, and particularly relates to a fabricated anchoring part fastening structure for supporting a heavy pipeline of a steel structure factory building, a first anchoring part and a second anchoring part are mounted on a steel beam, a first locking screw is screwed on the first anchoring part, and the top end of the first locking screw is rotatably connected with a first locking plate; second locking screws are connected to the second anchoring parts in a threaded mode, second locking plates are rotationally connected to the top ends of the second locking screws, an insertion barrel is fixedly installed on the top of the side wall of each first anchoring part, a guide rod is fixedly inserted between every two opposite insertion barrels, and a first connecting anchor frame is installed below each first anchoring part. A second connecting anchor frame is installed below each set of second anchoring parts, two steel wire ropes are installed between the two first connecting anchor frames, a lifting frame is fixedly installed at the bottom ends of the second anchoring parts, and a pipeline hoop is fixedly installed at the bottom end of the lifting frame. The structure is high in strength and dispersive in stress, local deformation is avoided, the I-shaped top plate is combined to abut against the steel beam, and the fastening degree of the second anchoring part and the steel beam is improved.

The invention relates to a corrugated steel web accurate positioning device, and relates to the technical field of steel structure construction in bridge engineering, the corrugated steel web accurate positioning device comprises a frame body and a steel web body, the upper end of the frame body is provided with a laser interferometer, one side of the frame body is provided with a controller, the middle part of the frame body is provided with a sliding groove, and two sides of the sliding groove are provided with through grooves; and a hydraulic cylinder is fixed to the inner wall of the upper end of the sliding groove, a sliding block is fixed to the driving end of the hydraulic cylinder, a fixing rod is fixed to one end of the sliding block, a connecting structure is arranged on the fixing rod, and a plurality of clamping frames are arranged on the connecting structure. The hydraulic cylinder drives the sliding block to move, on one hand, the effect of step-by-step positioning is achieved, the effect of improving the use effect of the positioning device is achieved, on the other hand, the effects of automatic sealing and cleaning are achieved, the use convenience of the positioning device is effectively improved, on the other hand, the effect of self-adaptive balance weight adjustment is achieved, and the use safety is improved. And the use stability of the positioning device is effectively improved.

The utility model discloses a steel structure surface anticorrosive coating spraying device which comprises a fixed plate, the upper end of the fixed plate is fixedly connected with a support, the upper end of the support is fixedly connected with a connecting plate, one side of the upper end of the connecting plate is fixedly connected with a first motor, the output end of the first motor is fixedly connected with a first screw rod, and the first screw rod is in threaded connection with a movable plate. According to the spraying device, a rigid structure to be coated is placed on the upper side of the fixed plate or the upper side of the storage frame, then the folding blocking cover is unfolded, the concentric-square-shaped frame makes contact with the fixed plate, the movable plate is fixedly connected with the supporting plates, one side of the supporting plate is fixedly connected with a second motor, and the output end of the second motor is fixedly connected with a second screw rod. And the air dust between the fixed plate and the movable plate is promoted to enter the storage frame through the rotation of the air guide fan, so that the effect of cleaning the dust in the environment is achieved, bubbles and salient points caused by contact with the dust in the external environment when a pattern layer is sprayed on the steel structure can be reduced, and the spraying effect is improved.

The invention relates to a steel structure fatigue crack detection system based on digital twinning, and the system comprises a sensing module which is used for collecting fatigue crack monitoring data of a steel structure in real time; the digital twinning back-end data fusion and management module is used for analyzing and standardizing the fatigue crack monitoring data and constructing a digital twinning model of the steel structure so as to map the entity state of the steel structure and the spatial distribution condition of the fatigue crack; the analysis module is used for detecting the fatigue crack of the steel structure according to the fatigue crack monitoring data, updating a detection result to the digital twinborn model for state synchronization, and performing crack risk early warning; and the visualization module is used for displaying the fatigue crack monitoring data and the detection and early warning result output by the analysis module. Compared with the prior art, real-time detection, trend prediction and multi-level early warning of the fatigue crack of the steel structure are realized through cooperative operation of sensing, fusion, analysis and visualization, and the safety and decision scientificity of the operation and maintenance stage are remarkably improved.

The invention discloses a green low-carbon intelligent assessment method for the welding influence of a steel structure, and relates to the technical field of green construction, and the method comprises the steps: collecting multi-source heterogeneous data in the welding process of the steel structure in real time, and calculating and visualizing a carbon emission dynamic value in the welding process; performing parameter extraction on the multi-source heterogeneous data, and inputting the multi-source heterogeneous data into a pre-trained defect identification model to obtain a weld defect identification result; and on the basis of the carbon emission dynamic value and the weld defect identification result, with minimization of carbon emission and residual stress as targets, iterative simulation is conducted in the twin welding model, and a low-carbon-low-stress process parameter window is obtained through optimization. The technical problems that a traditional steel structure welding related evaluation mode cannot give consideration to the low-carbon requirement and the mechanical property guarantee, the evaluation result is one-sided, and the parameter adaptability is insufficient are solved, and the technical effects that welding low-carbon and low-stress collaborative guarantee is achieved, and green low-carbon evaluation and process optimization of steel structure welding are more accurate and efficient are achieved.