1616 results about "Reference surface" patented technology

The invention relates to the technical field of building templates, and particularly provides a building template flatness threshold partition detection method based on normal vector constraint RANSAC, which comprises the following steps: performing three-dimensional laser scanning on a building template to obtain high-density point cloud data; preprocessing operations such as denoising and downsampling are carried out on the collected point cloud data, so that the data quality is improved; fitting a reference surface of the template based on the preprocessed point cloud data by using an improved RANSAC algorithm, and introducing a unit normal vector to ensure the correct direction of the reference surface; calculating the vertical distance from each point cloud point to the reference surface to obtain a deviation value; independently setting a deviation threshold value according to a building specification, dividing the deviation value into different grades, and distinguishing and displaying the deviation value on the three-dimensional point cloud model through colors; and a visual result containing the three-dimensional point cloud model and the color identification is output, the flatness condition of the template is visually displayed, and the method has the effects of automatic measurement, high efficiency and high precision.

The invention provides a substation equipment multi-view point cloud data fusion three-dimensional modeling method and system. The method comprises the steps of obtaining original point cloud data under multiple views and synchronously updating an equipment surface feature topological relation; setting a registration reference surface matched with the geometric structure of the equipment according to the spatial distribution characteristics of the point cloud; carrying out rigid alignment by adopting a point cloud registration algorithm based on a feature weight; and calling a curvature constraint-based three-dimensional reconstruction algorithm through the registration error parameters to generate a high-precision grid model. Wherein the registration reference plane setting needs to judge the point cloud coverage integrity and the overlapping area condition, and when the condition is not met, the collection view angle is adjusted or the point cloud data is complemented; the registration condition is judged through a curvature consistency index; the three-dimensional reconstruction process comprises voxel down-sampling, curved surface function construction and grid optimization, and the final model needs to be subjected to electrical safety verification. According to the method, high-precision three-dimensional modeling of the substation equipment can be realized, and the geometric feature reduction degree and the electrical safety verification reliability are improved.

The invention discloses a road corrugated plate integrity detection method based on a vehicle-mounted three-dimensional camera, and relates to the technical field of traffic infrastructure intelligent management and maintenance, and the method comprises the steps: generating a system configuration file through camera internal geometric parameters and multi-line light plane calibration; collecting an image sequence in real time, and extracting a light strip center pixel coordinate; based on a system configuration file, carrying out back projection on the pixel coordinates to solve a three-dimensional intersection point to generate three-dimensional point cloud data of the waveform plate; extracting the three-dimensional point cloud data to obtain the three-dimensional point cloud data of the segmented waveform plate; fitting a reference surface to calculate a height deviation value from a point to a plane; sampling according to multiple layers and multiple intervals and forming a feature string; comparing and identifying defect types and degrees bit by bit; and analyzing the aging trend of the corrugated plate based on historical data. According to the method, the multi-level three-dimensional geometrical characteristics of the surface of the corrugated plate can be efficiently obtained, and automatic identification and positioning of defects are realized.

The invention provides a plate heat exchanger which is characterized in that a first plate sheet comprises a first trough and a second trough which are adjacent, the first trough and the second trough are sunken downwards relative to the same reference plane P1, and the depth of the first trough is larger than that of the second trough; the second plate sheet comprises a first wave crest and a second wave crest which are adjacent, the first wave crest and the second wave crest protrude upwards relative to the same reference plane P2, and the height of the first wave crest is larger than that of the second wave crest; the first wave crest and the first wave trough are mutually contacted and fixedly welded; the second wave crest is at least partially opposite to the second wave trough, and the height of the second wave crest is unequal to the depth of the second wave trough. According to the plate heat exchanger, through the structural design, the surfaces of the two heat exchange plates forming the inter-plate flow channel have different flow resistances, and flow channels with asymmetric sections are formed between the plates, so that the turbulence degree is larger when fluid flows through, and the heat exchange performance of the heat exchanger is improved.

The invention relates to an intelligent door anti-pinch method and system, an intelligent door comprises a frame body and a movable leaf capable of being opened and closed in a sliding mode in the frame body, and the method comprises the steps that the rotation angle value of a motor shaft of a motor unit is collected in real time; measuring an actual distance value between a preset measuring point on the movable leaf and a corresponding reference surface on the door frame in real time through a distance sensor; calculating a theoretical displacement value of the movable fan relative to the initial zero point based on the rotation angle value; continuously comparing the deviation value between the theoretical displacement value and the actual distance value in the displacement process of the movable fan; when the deviation value exceeds a preset safety threshold value, it is judged that the foreign matter exists; and sending a control instruction for stopping door closing or reverse operation. According to the scheme, whether foreign matter blocking exists or not is effectively recognized by comparing the deviation between the motor rotation angle and the theoretical displacement and the deviation between the sensor distance measurement and the actual distance, and non-contact obstacle clamping judgment is achieved. And the method is suitable for various forms of intelligent sliding door systems.

The invention discloses a multifunctional hydraulic system experiment table, which relates to the technical field of hydraulic system experiment tables and comprises a time base line synchronous control module, a phase lock correction stability control module, a false peak identification and correction module, a multi-dimensional fault-tolerant judgment control module and a reverse energy slow-release anti-reverse module. And the time base line synchronous control module is used for establishing a cross-sensor unified time base line control structure, generating a synchronous reference surface by using a high-stability crystal oscillator signal, and executing nanosecond phase calibration on sampling signals of the pressure sensor and the flow sensor by taking the synchronous reference surface as a unified time reference. According to the invention, high-precision synchronous acquisition of pressure and flow signals is realized through unified time base line and phase locking correction, and high-pressure transient test data is ensured to be real and stable; and meanwhile, control logic is reconstructed, and an energy slow release strategy is introduced, so that the pressure relief process is stable and controllable, pump reverse rotation and structural impact are avoided, and the safety, reliability and self-healing stability of the experiment table are remarkably improved.

The invention provides a production control method and system based on SPC alarm linkage process locking, and relates to the technical field of quality management and control, and the method comprises the steps: deploying an SPC sensing node used for collecting technological parameters at a cutting edge position where a machining tool of production equipment is in contact with a workpiece, or at a contact point where a probe of online measurement equipment is in contact with the surface of the workpiece; the method comprises the following steps: acquiring process parameter data of a key production process in real time through an SPC sensing node deployed at a cutting edge position or a contact point; inputting the process parameter data as real-time data or small sample expansion data into an SPC judgment engine; and performing statistical process control analysis on the real-time data or the small sample expansion data through an SPC judgment engine so as to model data clusters which are densely distributed and have stable parameters in the data into a virtual reference curved surface representing a normal state domain. According to the invention, the accuracy of abnormity determination can be improved, and timely management and control of quality abnormity and minimization of production loss can be realized.

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 belongs to the technical field of image processing, and particularly relates to a PCB plug hole flatness detection method and system based on 3D point cloud data, and the method comprises the steps: obtaining the original 3D point cloud data of a PCB, and intercepting a plug hole center and a local point cloud block according to a design file; a copper ring point cloud set is extracted, and the fitting weight of each sampling point is calculated based on the distance from each sampling point in the set to the center of the plug hole, the unit normal vector of the sampling point and the original height of the sampling point; performing weighted least square fitting on all the copper ring point clouds by using the fitting weight to obtain a virtual reference curved surface; extracting an effective point cloud set, calculating the correction height of the effective point cloud, and calculating a flatness index in combination with the mean value of the correction height and the module length of the local gradient; the flatness index of the physical space is obtained, and whether the flatness of the plug hole is qualified or not is judged. According to the method, the problem of misjudgment caused by board warping is effectively solved, and the detection precision and the anti-noise capability are improved.

The invention discloses a method for detecting the head height of a bolt, and the method comprises the following steps: carrying out the projection of the head of the bolt through employing a structured light 3D camera, and obtaining the three-dimensional point cloud data of the head of the bolt; after abnormal points are processed, a bolt head area template is constructed; bolt head positioning is carried out on the bolt head area template and the actual detection area; selecting a plurality of local point cloud data in the bolt head area, and setting the local point cloud data as bolt head positions; selecting a plurality of local point cloud data on the outer side of the bolt head area, and setting the local point cloud data as bolt reference surface positions; and calculating the distance between the bolt head position and the bolt reference surface position by using a point-to-plane algorithm. The bolt head height detection method provided by the invention has the advantages of one-key operation, simple operation, fast measurement speed, automatic data and picture storage, and solving of pain points which cannot be traced by conventional contact measurement.

The embodiment of the invention provides a tab cracking detection method and device, tab welding equipment and a battery production system. The tab cracking detection method comprises the following steps: acquiring three-dimensional coordinate data of a plurality of reference areas to construct a reference surface; acquiring three-dimensional coordinate data of the surface of the tab, and determining a to-be-detected analysis area of the tab by comparing the height characteristic difference between the surface of the tab and the reference surface; and determining a detection result of whether the tab is cracked or not based on at least one of a height difference criterion and a morphology mutation criterion of the to-be-detected analysis area relative to the reference surface. Compared with a traditional manual visual inspection mode, the detection accuracy of quality defects such as tab cracking can be remarkably improved.

A surface estimation method includes a region-setting step and an estimation step. In the region-setting step, a reference region that is one of a three-dimensional region and a two-dimensional region is set. The three-dimensional region includes three or more points and is set in a three-dimensional space. The three-dimensional space includes three-dimensional coordinates of three or more points on a subject calculated on the basis of a two-dimensional image of the subject. The three-dimensional coordinates of the three or more points are included in three-dimensional image data. The two-dimensional region includes three or more points and is set in the two-dimensional image. In the estimation step, a reference surface that approximates a surface of the subject is estimated on the basis of three or more points of the three-dimensional image data corresponding to the three or more points included in the reference region.

The utility model provides a lens antenna, which relates to the technical field of antennae and comprises a luneberg lens, an earth radiation unit, an air radiation unit, a horizontal adjusting mechanism and a tipping adjusting mechanism. The center of the Lunberg lens is located on a reference plane, and the reference plane is parallel to the horizontal plane or forms a preset included angle with the horizontal plane. The to-ground radiation unit is arranged towards the center of the luneberg lens in a radiation manner, and the to-ground radiation unit is located above the reference surface; the air radiation unit is arranged towards the center of the luneberg lens in a radiation manner, and the air radiation unit is located below the reference surface; the horizontal adjusting mechanism is used for synchronously adjusting the main radiation direction of the to-ground radiation unit and the main radiation direction of the to-air radiation unit in the horizontal direction; and the tipping adjusting mechanism is used for independently adjusting the elevation angle of the main radiation direction of the air radiation unit. The lens antenna provided by the utility model has the characteristic of multidimensional adjustability, can meet the requirements of low altitude and ground coverage at the same time, and is compact in structure and small in occupied space.

The invention belongs to the technical field of tool wear measurement, and particularly relates to a machining center tool wear state early warning method based on multi-source data fusion, and the method comprises the steps: calculating a cutting power consumption characteristic through a main shaft load energy mapping model according to the original sampling current and the real-time feeding speed of a main shaft; sliding window sampling is carried out on the cutting power consumption characteristics, and the cutting state disorder degree is calculated; performing nonlinear coupling on the power consumption gradient item and the cutting state disorder degree to obtain a grinding loss stability coefficient; and establishing a dynamic statistical reference surface, and performing cutter state early warning according to the deviation degree of the grinding loss stability coefficient monitored in real time. Instantaneous interference caused by uneven material hardness is effectively recognized and eliminated, meanwhile, signal structure disorder at the initial stage of tool failure is captured, the technical problems that in die steel machining, due to material structure segregation and variable working conditions, the false alarm rate is high, and failure precursor capturing is difficult are solved, and the machining precision is improved. And the monitoring accuracy of the precision machining process is obviously improved.

A system and method for calibrating and setting up a machine guidance system for construction assets, such as loaders or excavators, employ point cloud data from onboard optical sensors to acquire spatial measurements. Point cloud data is transformed to an asset coordinate frame, candidate pitch and roll offset values are applied, grid representations are generated, and calibration values are selected with reduced error by comparing these grids to a reference surface. The system and method support autonomous operations including obstacle avoidance and grading by modifying the point cloud data according to the determined calibration values. In addition, dual-sensor calibration, terrain mapping, and filtering techniques are disclosed.

The invention relates to the technical field of flotation machines, in particular to a precise centering installation method for a coupling of a permanent magnetic direct drive system of a flotation machine. Comprising the following steps that a plurality of sets of measuring assemblies are arranged at the driven end of the coupler, each measuring assembly comprises a laser module used for collecting spatial position parameters and a sensor module used for collecting vibration parameters, installation reference planes of the laser modules and the sensor modules are subjected to precise grinding treatment, and the flatness error does not exceed 0.002 mm; the permanent magnet direct drive system is started to enable the coupler to rotate at a preset low speed, multiple sets of reference parameters in the initial state are obtained through the measuring assembly, and a reference model is established; in the installation process, spatial position deviation and vibration signals of the coupler at different rotation angles are collected in real time; according to the scheme, dynamic interference can be processed, and accurate pre-judgment and active adjustment are realized.

A three-dimensional displacement measuring system for a railway platform comprises a laser, an angle sensor, a high-magnification camera and an LED (light-emitting diode) illuminating lamp which are respectively arranged on a fixed upright post, the target is adhered to the edge of the platform to form a measurement reference surface, and the horizontal distance between the stand column and the target is a preset value; the system establishes a virtual zero point and defines a space rectangular coordinate system XYZ, the X axis is in the longitudinal direction of the platform, the Y axis is perpendicular to the edge of the platform, and the Z axis is vertically upward. The invention provides a non-contact, high-precision and low-power-consumption railway platform three-dimensional displacement measurement method, which comprises the following steps of: performing periodic laser scanning and image acquisition on a target adhered to the edge of a platform by utilizing a vision measurement system formed by double lasers and a high-magnification camera and combining feedback information of an angle sensor; and the relative displacement of the X axis, the Y axis and the Z axis in the space is inversely calculated through a geometric model. The method can automatically complete the whole-process operation of zero calibration, photographing, identification, calculation, storage and the like, and meets the actual requirements of long-term structure monitoring of the railway platform.

The invention discloses a solder paste defect detection method based on machine vision, relates to the technical field of printed circuit board detection, and aims at the challenge of solder paste printing quality detection in superfine-pitch high-reliability manufacturing, high-precision three-dimensional point cloud data is collected and an attitude matrix is marked through laser triangle-grating interference dual-mode imaging and board micro-vibration sensing; constructing an adaptive reference surface based on the point cloud and real-time fitting warping curved surface parameters, executing local height remapping, and eliminating the influence of micro warping; calculating a warping composite slope index and a glare texture robust index by using the height matrix, and adjusting a confidence threshold of the boundary enhanced convolutional network to realize real contour segmentation of adjacent pads; dynamically updating imaging parameters, accumulating real scene samples, and optimizing the adaptive ability of the model; and cross-shift knowledge reuse is realized through the shared model library. According to the invention, the volume measurement consistency and the first pass yield of the ultra-fine pitch bonding pad can be improved, and the process debugging time is shortened.

The invention relates to a building space truss construction method and system, a storage medium and electronic equipment, and the building space truss construction method belongs to the technical field of building manufacturing, and comprises the steps: obtaining an upper chord curved surface and a lower chord curved surface, determined by taking a roof curved surface as a reference surface, of a target building; taking the column grid size, the upper chord grid size and the lower chord grid size as input data of a parameterized model, and performing grid structure division on the upper chord curved surface and the lower chord curved surface in the parameterized model to obtain an upper chord, a lower chord and column node group vectors corresponding to the upper chord and the lower chord; performing crossover operation on the column node group vectors corresponding to the upper chord member and the lower chord member to obtain a net rack web member; the space truss of the target building is constructed on the basis of the upper chord member, the lower chord member and the truss web member, the whole process can be automatically carried out through a parameterized model and a corresponding software system, manual construction is not needed, and therefore material waste caused by manual construction is reduced, and the structural performance of the constructed truss is improved.

The invention relates to the technical field of fusion reactors, and discloses an assembly tool and an assembly method of a divertor, a box body is positioned and mounted on the assembly tool through a first positioning surface, a second positioning surface and a third positioning surface; through the first reference surface and the second reference surface, a reference coordinate system is set during assembly and detection of the target plate, and the target plate is detected and adjusted by taking the reference coordinate system as a reference, so that the profile tolerance of the target plate conforms to an error allowable range; therefore, it is guaranteed that the divertor obtained through assembling of the assembling tool has enough assembling precision; by the adoption of the assembling tool, the box body is installed on the assembling tool, then the target plate and the box body are preliminarily positioned, a reference coordinate system is established in cooperation with a laser tracker, the actual contour of the target surface of the target plate is obtained, the target plate is correspondingly adjusted, the assembling precision is improved, and normal work of a divertor is effectively guaranteed; and the normal cooling work of the cooling channel can be ensured through the leak detection test.

The present invention provides an optical interference measurement device including a light source generating measurement light over a continuous wavelength range and a measurement head optically connected to the light source, directing the measurement light toward a measurement object and receiving the measurement light reflected from the measurement object. The spectrometer outputs a first spectrum resulting from interference between the measurement light reflected from a first interface of the measurement object and the measurement light reflected from at least one second interface or reference interface of the measurement object to an evaluation device. The spectrometer includes at least one grating element for fanning out the measurement light introduced into the spectrometer according to wavelength, and a first detector array including a plurality of detector pixels onto which the fanned measurement light is directed. The first spectrum includes a series of intensity values ​​measured at the detector pixels. The evaluation device calculates the optical path difference between the first interface and the second interface or reference surface from the spectrum. The optical spectrometer further includes a second detector array onto which the fanned measurement light is directed, the second detector array also including a plurality of detector pixels. A second spectrum comprises a series of intensity values ​​measured at detector pixels of the second detector row, the first spectrum covering substantially the entire wavelength range at a first resolution and the second spectrum covering a portion of the wavelength range at a higher resolution.

The utility model discloses a cone shaft size measuring tool which comprises a calibration gauge and a measuring gauge. One end of the calibration gauge is provided with a measuring surface, the measuring surface is provided with taper, one end of the measuring gauge is provided with a first reference surface and a second reference surface, a step is arranged between the first reference surface and the second reference surface, the step is provided with a through hole along the axial direction of the measuring gauge, and the inner side of the through hole is a working surface. The working face is provided with taper, and the measuring face is matched with the working face. The measuring tool provided by the utility model is simple in structure and principle, flexible and convenient to operate and low in cost, is a comprehensive inspection tool, and can inspect the taper of the measured cone shaft and the diameter of the measured cone shaft. The device is suitable for the measurement of the detected cone shaft with high precision requirements, is accurate in detection result and high in detection efficiency, can be used for large-scale detection, and has good popularization and application values.

The invention discloses a component installation real-time positioning system and method based on a laser benchmark, and the method comprises the steps: laying a laser benchmark system according to a construction lofting line, projecting a plurality of laser beams in an arch axis direction and an annular direction, and forming a space reference in an installation space; arranging an identification feature set at the arch part, the haunch, the arch foot connecting part and the node, and establishing a corresponding relation between the identification code and the component truss number, the node type and the geometric reference plane; continuously sampling the spatial geometrical relationship between the laser reference system and the identification feature set during the unfolding, hoisting and in-position period of the component to form an observation data flow; and inputting the observation data stream into the attitude resolving model, and combining the bunch constraint, the shape constraint and the hinge continuous constraint by adopting a factor graph and a graph optimization algorithm to solve the spatial attitude of each truss component and the overall arch frame. According to the method, a closed-loop laser reference and multi-truss attitude resolving system is constructed, and continuous positioning and overall contour controllability of component installation under complex working conditions are achieved.

The invention relates to a measuring arrangement for the interferometric determination of the surface shape of a test object, wherein a test wave generated from electromagnetic radiation and reflected at the test object can be superimposed with a reference wave not reflected at the test object, with a reference element (110, 210, 310, 410) having a reference surface (112, 212, 312, 412) which, in the optical beam path, splits off the reference wave from the test wave before it strikes the test object (120, 220, 320, 420) by reflection, and at least one beam shaping surface (111, 211, 311, 411, 413, 414) located in the optical beam path in front of the reference surface, wherein this beam shaping surface is designed as an aspherical distortion correction surface such that a distortion occurring in a predetermined reference plane of the measuring arrangement is reduced. The invention further relates to a method for manufacturing an optical element for such a measuring arrangement.

The invention discloses a depth estimation-based automatic railway fastener tightness detection method, which comprises the following steps of: acquiring a fastener region gray scale and a sub-pixel depth map by using a binocular line laser fusion sensor, and generating a reference three-dimensional point cloud with an absolute scale through temperature, vibration and IMU (Inertial Measurement Unit) joint correction; fitting a dynamic rail top reference surface by using a rail head web to extract an overall sinking and floating drift distance; performing lightweight instance segmentation to obtain elastic strip, bolt and rail head masks and slicing point clouds; fitting a quadric surface to extract feature points, calculating relative elevation, and performing drift compensation to obtain self-deformation quantity of the fastener; and finally, inputting the deformation quantity into a physical-residual cascade model to judge the tightness state, and binding the deformation quantity with a mileage stake mark to output a detection result. According to the invention, the real relative looseness of the fastener can be separated from the rail reference drift, so that the accuracy and reliability of tightness detection are remarkably improved.

The embodiment of the utility model provides a coupling tail fiber visual inspection packaging box which comprises an upper cover, an inner support and a bottom support. The upper cover is buckled and connected with the bottom support, a cavity is formed in the upper cover, and the inner support is arranged in the cavity; the inner support is provided with at least one protruding platform which is away from the upper cover by a preset distance and is used for placing an insertion core. A groove with a preset height is formed in the inner support and is used for accommodating an optical fiber; at least one plane is arranged at the front position of the protruding platform and serves as a datum plane, and a sticky sheet used for fixing a product to be detected is arranged on the plane. The detection accuracy and efficiency can be improved, accurate observation of product features and rejection of defective products are facilitated, detection interference is reduced, the risk of product damage can be reduced, batch transportation and management are facilitated, products are placed more orderly, and the whole device has good application value and market prospects.

The invention discloses an FPC golden finger surface defect detection method based on image analysis, and relates to the field of image analysis, and the method comprises the steps: uploading circuit board structure parameters, edge pin sizes and distribution information, and constructing a circuit board three-dimensional model based on the circuit board structure parameters, edge pin sizes and distribution information; selecting a reference surface on the circuit board three-dimensional model, picking up a reference area on the selected reference surface, and using the picked-up reference area for circuit board defect detection; the application process supports user-defined threshold values and flexibly adapts to different detection requirements, unqualified products can be accurately injected into defect areas, the detection efficiency and reliability are improved, and production line quality control is assisted.

A fastened member configured to be fixed to a vehicle body-side member by a screw member includes: a base including a reference surface configured to receive a bearing surface of the screw member; an insertion hole provided in the base and configured to insert the screw member therethrough, and a protruding portion protruding from the reference surface. The protruding portion includes a tilted surface tilted so as to become higher along a rotation direction in which the screw member is tightened. When the screw member is tightened, the protruding portion and the base are sandwiched between the vehicle body-side member and the bearing surface and are plastically and elastically deformed.

The invention discloses a cylindrical thin-wall part thread assembly device and method, and aims to solve the problems of low efficiency, high labor intensity and uncontrollable quality of traditional manual assembly. The device comprises an enclasping and screwing mechanism, a screwing control mechanism, a size rechecking mechanism and a horizontal carrying mechanism. The enclasping and screwing mechanism is used for enclasping a first thin-wall part, driving the first thin-wall part to rotate and temporarily bearing a second thin-wall part at the same time. The tightening control mechanism achieves grabbing of the second thin-wall part, thread pre-tightening / tightening of the first thin-wall part and process parameter monitoring through a static torsion sensor, a displacement sensor and an elastic floating structure. The dimension rechecking mechanism adapts to the levelness error of the reference surface by means of an integrated floating structure of a floating conical block, and accurately detects the dimension of the relative end surface after assembly; and the horizontal carrying mechanism drives the holding and screwing mechanism to accurately move among the stations. Full-automatic assembly of the thin-wall parts is achieved, efficiency is high, quality is good, and the automatic assembly machine is suitable for automatic production of the thin-wall parts in the aerospace and aviation fields.

The invention discloses an industrial intelligent installation and adjustment platform construction and performance optimization method based on digital twinning, and relates to the technical field of intelligent manufacturing and digital twinning, and the method comprises the following steps: building a unified time-frequency auditing base line, carrying out the continuous sampling of Ethernet switch route refresh pulse and programmable logic controller synchronization rhythm, and obtaining a unified time-frequency auditing base line; extracting a time drift curve, and constructing a time consistency reference surface; and executing causal playback based on the time consistency reference plane, reconstructing a frame sequence change track before and after the interruption of the communication chain, extracting a time sequence dislocation fingerprint and a packet loss link, and generating a pseudo operation risk distribution diagram. According to the method, through establishment of a time consistency reference surface, causal playback, sequence consistency check, time difference injection and evidence chain construction, microsecond-level beat synchronous control and pseudo operation identification are realized, and through combination of phase traction and a reversible time grid, abnormal chain fusing and self-healing are realized. And the real-time performance, the stability and the intelligent level of the digital twin installation and adjustment system are comprehensively improved.