344 results about "Surface deformation" patented technology

The invention belongs to the technical field of film quality analysis and evaluation, and particularly relates to a flexible circuit board film pressing quality detection and analysis method and system. The method comprises the steps of generating a self-adaptive scanning path based on a design file and surface deformation data; performing multi-modal data acquisition and fusion along a path through optical surface scanning, ultrasonic tomography and an optical coherence tomography imaging assembly; potential defects are positioned, and size, shape, position and defect type probability values are quantized; judging the authenticity of the defect by adopting a three-stage mechanism of cross-modal probability comparison, physical characteristic logic verification and multi-frame time sequence verification; and performing weighted scoring on the real defect matching acceptance standard table, and performing disqualification marking or outputting a process optimization suggestion to the pressing equipment according to a scoring result. According to the invention, the imaging limitation of the transparent coating layer is broken through, the internal interface layering and the precise detection of the microbubbles are realized, and the closed-loop control from detection to production adjustment is formed.

The invention discloses a guideboard surface deformation detection method and system based on a dynamic video sequence. The method comprises the following steps: acquiring road video data with a timestamp and position information; a traffic sign is automatically identified from the road video data, and geometric anomaly detection is carried out; a time sequence tracking sequence is established for the guideboard, and whether continuous abnormity exists in the guideboard is determined through multi-frame analysis; if yes, performing local texture consistency and local contour geometric analysis on the guideboard to obtain a fusion analysis result; performing state evaluation on supporting equipment corresponding to the guideboard to obtain a state evaluation result of the guideboard supporting equipment; and determining the final surface deformation state and the corresponding grade of the guideboard based on the fusion analysis result and the state evaluation result of the guideboard supporting equipment. By implementing the method provided by the invention, automatic detection and quantitative analysis of the bending or deformation condition of the road sign can be realized without manual intervention, and early warning information can be output in time.

The invention relates to the technical field of railway engineering, and provides a cantilever hoop attitude detection method and system based on visual inspection, and the method comprises the steps: calculating the dynamic shrinkage rate and stress distribution gradient of a metal material at a preset low temperature, and generating a deformation compensation coefficient; acquiring surface geometric deformation data of the cantilever hoop at a preset low temperature and non-uniform distribution data of a surface temperature field; and obtaining corrected deformation data, obtaining aligned data based on the corrected deformation data and the non-uniform distribution data, and performing low-temperature deformation field reconstruction on the aligned data to obtain a low-temperature deformation field reconstruction result so as to extract an overlapping region of a surface deformation path and a temperature abnormal boundary of the cantilever hoop. According to the surface deformation path and the geometric center offset of the overlapping region, calculating a posture offset parameter of the cantilever hoop, and generating a low-temperature deformation early warning signal; according to the method, the problem of insufficient detection precision caused by data collaboration loss is solved, and high precision, high robustness and scene adaptability of high-iron cantilever hoop low-temperature deformation detection are realized.

The invention discloses a modeling method for inverting surface high-precision three-dimensional deformation through InSAR and GNSS data fusion, and belongs to the technical field of surface deformation monitoring. The method includes the steps of resolving InSAR line-of-sight deformation, unifying InSAR and GNSS data reference systems, establishing a stress model based on an elastic theory, calculating a three-dimensional deformation component for the first time based on a least square theory, obtaining an optimal weight matrix by applying a variance component estimation method, calculating final three-dimensional deformation and the like. According to the method, three-dimensional deformation and strain parameters are estimated by fusing InSAR measurement data and GNSS measurement data based on the elastic theory, the stress relation between adjacent points is considered, and unnecessary spatial interpolation of GNSS measurement values is avoided. The variance component estimation method solves the problem of unreasonable weight ratio of different types of observation values, and according to the adjusted optimal weight matrix, a function model is solved based on the least square method, and high-precision and high-spatial-resolution earth surface three-dimensional deformation information within the research range is obtained.

The invention discloses an installation and analysis method of high slope surface deformation monitoring equipment based on a magnetic grid sensing principle, and the method comprises the steps: carrying out the high-precision and continuous monitoring of the deformation of the surface of a slope through a magnetic grid type pull rope displacement sensor, obtaining a displacement change vector field of the surface of the whole slope through the processing and analysis of the monitoring data, and carrying out the installation and analysis of the deformation of the surface of the slope. The deformation field of the whole monitoring area is calculated, based on the result of continuous monitoring and data analysis, the instability criterion for slope surface deformation is provided, and detailed instability risk assessment is carried out. According to the invention, manual intervention can be effectively reduced, interference of external environmental factors is eliminated, and continuous and high-precision monitoring of slope surface deformation is realized.

The invention relates to an MT-InSAR self-adaptive fusion measurement method and device for long-term surface deformation of a coal mining subsidence area, and the method comprises the steps: obtaining surface deformation monitoring data in a plurality of modes, and carrying out the at least one of time-space alignment, noise removal and error correction of the surface deformation monitoring data, so as to obtain surface deformation data; calculating coherence indexes of the earth surface deformation data; generating a space adjustment coefficient by using a double-peak Gaussian function model constructed based on a coal mining subsidence area deformation rule; constructing an adaptive weighting method based on the coherence index and the spatial adjustment coefficient of the earth surface deformation data to calculate the weight of the multi-source InSAR data; and performing weighted fusion on the surface deformation monitoring data by using the weight of the multi-source InSAR data to obtain a final surface deformation result. Therefore, the problems of insufficient monitoring precision, incomplete coverage, poor adaptability and the like due to the fact that a single InSAR technology is difficult to comprehensively reflect spatio-temporal evolution characteristics of long-term surface deformation of the wide-area coal mining subsidence area are solved.

The invention relates to the technical field of deformation prediction, in particular to a lateral deformation prediction system and method based on a deep foundation pit wall body, and the system comprises a deformation data collection module which collects a ground surface settlement monitoring value and a lateral displacement monitoring value of a corresponding measuring point of the deep foundation pit wall body, carries out the time sequence alignment processing of data points, removes an abnormal monitoring value, and obtains a deformation data collection module; and establishing calibration deformation sequence data. According to the invention, through real-time acquisition and strict execution of data time sequence alignment processing, the consistency of ground surface settlement data and wall lateral displacement data is ensured, abnormal monitoring data is effectively eliminated, and the data accuracy and consistency are improved; in the spatial interpolation process, width measurement of a settlement area is introduced, the width characteristic of a settlement groove is determined, and the earth surface deformation trend is captured according to a deformation index; and extracting the maximum lateral displacement of each time section of the monitoring section, establishing a dynamic corresponding relation between the maximum displacement and the width of the settling tank, and identifying the regular influence of the change of the construction process on the lateral deformation.

The invention relates to the technical field of surface deformation detection, and discloses a semiconductor heating plate surface deformation detection device and method. Under the driving of the mobile driving mechanism, the bearing platform drives the to-be-detected semiconductor heating disc to move below the detection groove, in the moving process of the bearing platform, the shielding mechanism can shield the mobile driving mechanism, and under the common shielding effect of the fixed frame, the mounting platform and the shielding baffle, the to-be-detected semiconductor heating disc can be detected. The movable driving mechanism can be isolated from the external environment, external dust and other impurities can be effectively prevented from entering the moving space of the movable driving mechanism, and the accuracy of the movable driving mechanism for driving the bearing platform to move can be effectively guaranteed; each probe detection mechanism and the microscopic detection mechanism traverse the to-be-detected plane of the semiconductor heating disc and jointly carry out deformation detection on the to-be-detected plane of the semiconductor heating disc, so that the accuracy degree of deformation detection is ensured.

The invention belongs to the field of surface deformation prediction, and provides a goaf surface deformation prediction method fusing convolution attention and multiple influence factors, which comprises the following steps: S1, obtaining related data covering a goaf range, the related data comprising SAR image data, auxiliary data and external influence factor data; s2, constructing a time sequence data set based on temperature, rainfall and InSAR deformation of the goaf according to the related data; s3, preprocessing the time sequence data set, dividing the time sequence data set into a training set and a test set, and constructing and training a deformation prediction model based on a convolution attention mechanism and multivariable input; and S4, predicting future deformation of the goaf according to the deformation prediction model. According to the invention, high-precision deformation prediction in a complex deformation mode can be realized; according to the deformation prediction model based on the Transform encoder and the Bi-LSTM decoder architecture, the precision and the robustness of the deformation prediction model can be improved.

The invention discloses a mining area earth surface deformation monitoring method based on fusion of a space-time Kalman model and InSAR and GNSS data. For a mining area with non-uniform deformation space change, large gradient and highly nonlinear time change, the advantages of high spatial resolution of InSAR deformation and high temporal resolution of GNSS deformation are fully utilized. The spatial model is adaptively constructed according to the spatial features of the mining area deformation, and the automation and efficiency of the algorithm are improved. Meanwhile, the time feature constraint of the prior deformation of the mining area is added, so that the dependence of a traditional STRE fusion method on GNSS data is reduced, and the deformation fusion precision is improved. According to the method, the InSAR deformation monitoring result, the GNSS deformation monitoring result and the prior deformation characteristics of the mining area can be considered at the same time, the three kinds of information are effectively fused to the maximum degree, and high-temporal-spatial-resolution deformation monitoring of the mining area is achieved. Under the background of exuberant demand on mining area resources in China, the method is of great significance to accurate monitoring, assessment and prevention of mining area geological disasters.

The invention belongs to the field of material mechanical property testing and strain measurement, and particularly relates to a local strain measurement method and system based on a four-point bending and digital image correlation (DIC) technology, and the method specifically comprises the following steps: cutting to prepare a sample, carrying out surface electrolytic polishing, preparing speckles on the surface of the sample to be tested, and carrying out a four-point bending experiment; speckle images of the lower surface of the sample are collected, displacement correction is conducted in combination with bending deflection calculation, the bending load and the strain of the upper surface of the sample are obtained in real time, the stress-strain relation and local strain distribution of the lower surface of the sample are obtained through calculation, and finally deformation and failure mechanism analysis is conducted in combination with surface deformation and crack morphology. The method provided by the invention combines four-point bending and DIC plane strain measurement technologies, can realize stretching, compression and dynamic fatigue loading on the surface of the sample, is suitable for performance test and failure analysis of tension, compression and fatigue deformation of brittle metal materials such as intermetallic compounds and amorphous materials, and has the characteristics of convenience, rapidness and low cost.

The invention discloses a dam surface deformation monitoring method and device and a medium. The method comprises the steps that a first GNSS signal of a monitoring station and a second GNSS signal of a base station are acquired; the monitoring station is deployed on the surface of the dam; performing three-dimensional positioning on the monitoring station according to the first GNSS signal to obtain a first measurement position coordinate of the monitoring station; performing three-dimensional positioning on the base station according to the second GNSS signal to obtain a second measurement position coordinate of the base station, and comparing the actual position coordinate of the base station with the second measurement position coordinate to obtain a differential correction value; correcting the first measurement position coordinate according to the differential correction quantity to obtain a third measurement position coordinate of the monitoring station; and comparing the third measurement position coordinate with the actual position coordinate of the monitoring station to obtain the variable quantity of the monitoring station, and determining the deformation level of the dam according to the variable quantity. And the deformation monitoring accuracy and efficiency are improved.

The invention discloses an earth surface deformation prediction method and device based on multiple models, a medium and equipment, and is applied to the technical field of earth surface subsidence prediction.The method comprises the steps that first time sequence data of an earth surface to be predicted are acquired, and feature information is extracted; respectively training a plurality of prediction models by taking the feature information as a sample in a preset parameter range; selecting the prediction model with the minimum prediction error value as an optimal model; training the optimal model again by taking the feature information as a sample so as to obtain an optimal parameter in a global range; inputting second time sequence data of the earth surface to be predicted into the optimal model, and predicting a deformation result; the method comprises the following steps: training a plurality of prediction models by using part of time sequence data of a to-be-predicted earth surface within a preset parameter range to realize rapid training, selecting an optimal prediction model, and carrying out global parameter training on the optimal prediction model again to improve the prediction precision of the optimal prediction model, reduce the training time of the model as much as possible, and improve the prediction efficiency. And the prediction efficiency is improved.

The invention relates to the technical field of die design, in particular to a method for acquiring a die surface deformation compensation value of a stamping die. The method comprises the specific steps that S1, a press table top deformation measuring system is adopted, and the deformation amount of a press under a certain load is collected; s2, establishing a simulation model of a measurement system by adopting Hypermesh software, and obtaining a simplified substitution model of a press table board and a sliding block by combining the collected experimental data through size optimization; s3, cleaning and grid division are conducted on the geometric structure of the mold, and accessory structures which do not affect the strength are removed; s4, combining the simplified model with the die grid model, adding load and constraint of a press machine, and performing stamping simulation; and S5, generating a die surface deformation contour map according to a simulation result, and obtaining a die surface deformation compensation value. Compared with the prior art, by combining a high-precision measurement technology and numerical simulation analysis, technical support can be provided for design and manufacturing of the stamping die, and progress and development of the die industry are promoted.

The invention relates to the technical field of defect detection, and provides a super-precision spring defect detection method and system, and the method comprises the steps: obtaining the surface deformation information of a to-be-detected super-precision diaphragm spring; extracting current defect feature data from the surface deformation information; storing the current defect feature data to a defect feature cache region; comparing the current defect feature data with historical defect feature data stored in a defect feature cache region to judge whether the current defect feature data has space-time constancy or not, and obtaining a space-time constancy judgment result; according to the time-space constancy judgment result, defect type marks corresponding to the current defects are judged as system artifacts or real product defects; and generating a detection report, and displaying the defect type mark based on a preset display rule for distinguishing and displaying the system artifacts and the real product defects. The method has the advantages that system artifacts and real product defects are distinguished, the detection accuracy and efficiency are improved, and unnecessary production interruption and verification cost are reduced.

The invention discloses a thin-wall surface deformation measurement method and device based on a Kriging model, and a medium. The method comprises the following steps: S1, generating an initial measurement point; s2, a Kriging model is constructed; s3, dynamically selecting a sampling mode; s4, acquiring a sampling point to be detected; s5, the deformation degree of the thin-wall surface is obtained through actual measurement; and S6, evaluating and iterating. Through prediction and selection of iterative sampling points and in combination with a dynamic adjustment sampling strategy, the number of measurement points is effectively reduced, and the method can overcome the problem of measurement errors caused by coordinate deviation in AACMM handheld measurement. Even if deviation exists between the position of an actual measurement point and the position of a theoretical sampling point, the method still can accurately capture the deformation degree of the thin-wall surface through prediction and iterative optimization of the Kriging model, the reliability of a measurement result is ensured, and the measurement precision, the measurement efficiency, the stability of the method implementation and the applicability and robustness of different workpiece applications are improved.

The invention relates to the technical field of five-axis numerical control machining error detection, in particular to a high-precision geometric error detection method and system for five-axis numerical control machining, and the method comprises the steps: obtaining a height error value and a height error matrix of a measurement point on the surface of a workbench through a laser interferometer; determining the final possibility that the height error matrix deforms in a corresponding area on the surface of the workbench; determining the deformation quantity of the surface of the workbench measured each time; determining the most recently measured deformation quantity change rate of the surface of the workbench; determining the final deformation quantity of the position of the workpiece on the surface of the workbench at each moment; and compensating the five-axis numerical control machine tool according to the final deformation quantity. The dynamic influence that the surface deformation of the workbench is gradually increased along with time accumulation and the influence of the self weight of the workpiece on the surface of the workbench are reduced, and the overall machining performance of the five-axis numerical control machine tool is improved.

The invention relates to an electrically-assisted biaxial stretching forming limit testing system and method for a plated plate, and belongs to the technical field of bipolar plate testing.The testing method comprises the following steps that a bipolar plate sample is heated through pulse current and then stretched; and meanwhile, temperature, displacement, load and surface deformation images of the bipolar plate sample during stretching are collected, ultrasonic detection is carried out, and a basic forming limit curve is established based on a plastic instability criterion and is dynamically corrected. Dynamic evolution of necking initiation, expansion and interface failure in the stretching process can be synchronously tracked, actual working condition requirements can be better met, interface thermal mismatch aggravated by Joule heat is avoided, and the influence of insufficient sensitivity of a general ultrasonic algorithm can be made up through multi-physics field detection. The failure criterion is redefined as the critical state of plating-substrate interface separation, and the error of the critical failure point predicted by the forming limit curve is further reduced.

The invention provides a hydropower station dam abutment slope GNSS automatic surface deformation monitoring system and method, and the system comprises a sensing layer which is used for collecting the GNSS original observation data of each monitoring point in a slope monitoring region at each moment within a preset time length; the data resolving module is used for preprocessing the GNSS original observation data and then solving the preprocessed data by using a multi-base-station differential positioning algorithm to obtain three-dimensional coordinates of each monitoring point at each moment; the data resolving module is also used for determining the deformation data of each monitoring point in a preset duration; the linkage triggering module is used for performing deformation monitoring in the slope monitoring area by using an appearance monitoring automation system when the current comprehensive judgment displacement change rate is greater than or equal to a preset displacement change rate threshold value; and the early warning management module is used for determining an early warning level and performing early warning. According to the technical scheme provided by the invention, the intelligent level of slope safety monitoring and the slope safety emergency management and control capability of the hydropower station can be further improved.

The invention discloses a deformation estimation method and system for a surface elevation change area, and relates to the technical field of surface exploration. Based on different linear relationships between a DEM error and a vertical base line before and after height change and through minimizing a residual sum of squares, the deformation of the surface elevation change area is estimated; the real elevation change time, the DEM error before and after the elevation change and the deformation rate of each ground point can be accurately estimated at the same time, and the problem that time-varying signals are introduced by wrong DEM error correction and the signals may be wrongly explained as ground surface deformation is solved. And through the accurate and real elevation change time, the DEM error before and after the elevation change and the deformation rate, the magnitude represented by the surface elevation change quantity of the target area and the time represented by the deformation time sequence are estimated.

A system (100) and method for monitoring deformation of a roadway while drilling. The system (100) for monitoring deformation of a roadway while drilling comprises a plurality of feature points (11, 12, 13), at least one group of deformation monitoring binocular cameras (2), and a computer (3). The plurality of feature points (11, 12, 13) are dispersedly arranged on the surface of the roadway; the deformation monitoring binocular cameras (2) photograph the feature points (11, 12, 13) from different angles; acquired images (201, 202) comprise light of the feature points (11, 12, 13); the deformation monitoring binocular cameras (2) are in signal connection with the computer (3), so as to transmit the acquired images (201, 202) to the computer (3); and the computer (3) calculates three-dimensional spatial coordinates of the feature points (11, 12, 13) in a camera coordinate system in real time on the basis of the parallax of the feature points (11, 12, 13) in the images (201, 202) at different angles acquired by the deformation monitoring binocular cameras (2), and then calculates the deformation of the surface of the roadway in real time. According to the system (100) and method for monitoring deformation of a roadway while drilling, the feature points (11, 12, 13) are provided on the surface of the roadway, the deformation monitoring binocular cameras (2) photograph the feature points (11, 12, 13) from different positions, and a binocular vision measurement principle is used to achieve real-time monitoring of the deformation of the surface of the roadway, thereby achieving real-time continuous monitoring.

The invention provides a coal mine subsidence area earth surface deformation monitoring device, and relates to the technical field of monitoring devices.The coal mine subsidence area earth surface deformation monitoring device comprises a fixing bottom plate, a supporting structure is arranged on the fixing bottom plate, an adjusting structure is arranged on the fixing bottom plate in a sliding fit mode, a fixing structure is arranged on the adjusting structure, and a locking structure is arranged between the adjusting structure and the fixing bottom plate; a detection structure is arranged in the supporting structure, a monitoring structure is arranged on the supporting structure, the detection structure corresponds to the adjusting structure, a pushing structure is arranged between the supporting structure and the detection structure, a stabilizing structure is arranged in the detection structure, and the stabilizing structure corresponds to the pushing structure. According to the device, the adjusting structure is slidably installed on the fixing bottom plate, the fixing structure is installed on the adjusting structure, the fixing position of the fixing structure can be adjusted through the adjusting structure, and therefore the device can be well fixed to the ground according to needs, the stability of the device is guaranteed, and the position of the adjusting structure can be locked through the locking structure.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) and graph neural network combined earth surface deformation space-time prediction method, which is suitable for space-time prediction of earth surface deformation. Based on DS-InSAR, obtaining radar sight line-to-time sequence earth surface deformation of the high-coherence measuring points; calculating the geographic distance between the measuring points and the mutual information between the deformation sequences corresponding to the points; the method comprises the following steps: judging connectivity between high-coherence measuring points according to a geographic distance between the measuring points and mutual information to generate an adjacent matrix, and organizing an original InSAR deformation monitoring result into graph structure data; and inputting the graph structure data into the LSTM-GCN model to predict and obtain the surface deformation of all the high-coherence measuring points in the whole area. The method is high in prediction precision and wide in application range, and can be effectively applied to the fields of space-time prediction of deformation of earth surfaces and buildings (structures) caused by mine closure, underground resource development, natural disasters and the like.

A device configured to be disposed within a granular medium to raise a layer thereof, the device having: a flexible envelope forming an internal volume; an inflatable element in the internal volume, interposed between the envelope's upper and lower surfaces, the element's inflation and deflation varying the internal volume; an injection device for filling the inflatable element with a fluid; the device being switchable from a first configuration having the inflated inflatable element occupy a first volume to a second configuration having the inflated inflatable element occupy a second volume greater than the first to deform the upper surface vertically to raise the granular medium's layer, and vice versa; the device further being switchable from the first or second configuration to a third configuration having the envelope's lower surface deform vertically to allow the device to ascend through the granular medium. Also, a method of deforming a granular medium layer.

The invention discloses a rapid identification method and a monitoring system for a fatigue damage stage of an asphalt mixture. The identification method comprises the following steps: acquiring an acoustic emission signal generated by a test piece in a fatigue loading process and DIC image data of surface deformation of the asphalt mixture test piece; drawing a curve chart of acoustic emission accumulated impact number and energy changing along with loading times; performing graying processing on the DIC image data, and preliminarily judging spatio-temporal information of the crack; fitting an acoustic emission parameter curve; based on the impact number in the window and the change of acoustic emission energy, the asphalt mixture fatigue damage stage is divided; and aligning the time of the acoustic emission signal with the time of the crack space-time information, and determining the fatigue instability precursor information of the asphalt mixture and the instability failure initial position of the corresponding test piece according to the acoustic emission parameter characteristics before the instability failure of the test piece. According to the method, the acoustic emission signal impact number, energy and DIC image data are combined, and the instability damage of the asphalt mixture is predicted according to the acoustic emission parameter characteristics before fatigue instability of the asphalt mixture.

The invention discloses a steel structure machining device and method, and relates to the technical field of steel structure manufacturing, the steel structure machining device comprises two guide rails, an upper shape restraining assembly and a lower shape restraining assembly, the upper shape restraining assembly and the lower shape restraining assembly are arranged at the tops of the two guide rails correspondingly, and through the synergistic effect of the upper shape restraining assembly and the lower shape restraining assembly, the steel structure is machined. The whole-process precise regulation and control of H-shaped steel welding from dynamic deformation suppression to quality stability guarantee are achieved, and the method is different from a traditional extensive scheme of depending on a single rigid pressing roller and fixed hydraulic bag passive shape suppression and multi-device dispersed operation, so that H-shaped steel welding shape suppression operation is more precise, more stable, more efficient and more flexible, and the production efficiency is improved. The upper shape restraining assembly achieves accurate recognition and active restraining of the deformation gradient of the upper surface of the wing plate by means of the partition hydraulic bag design and the multi-sensing fusion sensing capacity of the upper shape restraining assembly, and the lower shape restraining assembly achieves the conveying function through an innovative hydraulic flexible conveying roller structure and forms rigid supporting on the lower surface of the wing plate from the bottom at the same time.

The invention relates to the field of structure optimization of M50NiL high-temperature carburizing bearing steel for aero-engines, in particular to a treatment method for eliminating large-size carbides in a carburizing surface layer of rare earth M50NiL steel. The rare earth M50NiL steel comprises the following chemical components in percentage by mass: 0.11 to 0.15 percent by weight of C, 0.10 to 0.25 percent by weight of Si, 4.00 to 4.25 percent by weight of Cr, 4.00 to 4.50 percent by weight of Mo, 1.13 to 1.33 percent by weight of V, 3.20 to 3.60 percent by weight of Ni, 0.15 to 0.35 percent by weight of Mn, less than or equal to 0.02 percent by weight of the total amount of Ce and La, less than or equal to 0.01 percent by weight of P, less than or equal to 0.01 percent by weight of S and the balance of Fe. After carburizing treatment and performance heat treatment are conducted on the sample meeting the component requirements, the sample is treated for a short time only through the surface deformation technology, the number density of large-size carbides on the carburized surface layer can be effectively reduced, the size distribution uniformity of the carbides on the carburized surface layer is improved, and the wear resistance of the material is remarkably improved; and the performance requirements of the bearing for the current aero-engine are met.

The utility model discloses a fixing device for a control surface static test, which comprises a bottom plate and two clamping plates symmetrically arranged on the bottom plate, the clamping plates comprise a first clamping plate and a second clamping plate, and the distance between the first clamping plate and the second clamping plate is equal to the thickness of a control surface mounting position. Limiting holes are further formed in the first clamping plate and the second clamping plate, and the positions of the limiting holes correspond to mounting holes in the mounting position of the control plane. For the static test of the control surface, the connection between the control surface and the cabin body is canceled, the control surface is directly mounted on the wall rail or the ground rail through the fixing device, and the designed fixing device is matched with the mounting position of the control surface, so that a large amount of time can be saved, the loading is more convenient, and the test result is more accurate. By adopting the device, the control surface is directly fixed with the ground, and the deformation strain and deflection of the control surface can be more accurately obtained.

The invention relates to the technical field of punching machines, in particular to a pressure control method and system for products produced by a high-precision steel frame punching machine and computer equipment. According to the method, the pressure of the punch product is preliminarily adjusted through the load error, the load change is responded in real time, the adjustment can be quickly made when the pressure is too large or too small, the deviation of the surface form can be found in time by obtaining the surface image and the height value in real time and calculating the real-time maximum and minimum curvature and the Gaussian curvature, and the accuracy of the surface form is improved. The pressure is dynamically adjusted according to the curvature difference, surface deformation caused by too large or too small pressure is avoided, the surface flatness and shape accuracy of the product are guaranteed, the quality of the final product can be remarkably improved by continuously monitoring and adjusting the pressure in the production process, and the production efficiency is improved. The pressure is adjusted according to the load error between the actual load and the target load, the feedback speed is increased, real-time adjustment in the production process is ensured, and the precision and efficiency of the whole production process are improved.

The invention discloses a material water absorption deformation three-dimensional dynamic monitoring system and method based on a hemispherical view field. According to the dynamic monitoring system and method, external changes of materials such as argillaceous rock-soil bodies in the water absorption process can be dynamically captured in real time, and the full view of surface deformation of the materials such as the argillaceous rock-soil bodies in the water absorption process is comprehensively revealed from the perspective of full-dimensional space. The dynamic monitoring system comprises a water swelling deformation device, a camera monitoring system and a data acquisition device. The material water absorption deformation three-dimensional dynamic monitoring method based on the hemispherical view field comprises the following steps: S1, mounting and setting a monitoring system; S2, debugging a camera; s3, distilled water is injected into the water absorber; s4, keeping the water level in the water storage cavity of the water absorber unchanged; performing timed image data acquisition on the sample through a camera; and S5, judging that the sample does not absorb water any more, and completing monitoring. By adopting the material water absorption deformation three-dimensional dynamic monitoring system and method based on the hemispherical view field, high-precision image information can be obtained, and the monitoring accuracy is improved.