21355results about "Material strength using tensile/compressive forces" patented technology

The invention relates to the technical field of anti-cracking performance testing, in particular to an ultra-high performance concrete anti-cracking performance testing system and a dynamic monitoring method thereof.The system comprises a dynamic stress field simulation feedback module used for sensing three-dimensional distribution of a micro stress field in concrete in real time by constructing a flexible loading array to obtain dynamic stress field data; the multi-scale damage evolution tracking module is used for deploying a high-resolution acoustic emission network and a distributed optical fiber sensing layer based on dynamic stress field data of the flexible loading array to form a full-scale evolution graph from microdefects to macroscopic cracks; and the intelligent healing efficiency evaluation module obtains stress redistribution data and a full-scale evolution graph, and a repairing medium containing a tracer agent is injected into a preset crack path. According to the method, the whole process of crack resistance of the material from defect initiation to repair and regeneration can be quantitatively evaluated; and finally, outputting a dynamic evolution rule of the crack resistance and enhancing potential evaluation.

The invention discloses a wharf armor block quality detection method, and belongs to the technical field of concrete structure detection.The method comprises the steps that a surface model is constructed through a movable three-dimensional laser scanning device, and a high-risk defect area is recognized; performing encryption scanning and impact echo detection in the high-risk area by adopting a frequency-adjustable dual-mode flaw detection device to generate a three-dimensional defect distribution diagram; a core sample is drilled in the defect area for compressive strength testing, and the material performance is analyzed in combination with a non-contact infrared spectrum; and establishing a dynamic evaluation model, calculating a safety coefficient by integrating surface defects, internal defects and material discreteness data, and generating a three-dimensional visual report. The problems that a traditional detection method is low in efficiency, insufficient in internal defect positioning precision, one-sided in material performance evaluation and the like are solved, full-dimensional detection from the surface to the interior and from the macroscopic level to the microscopic level is achieved through a multi-source data fusion and closed-loop feedback mechanism, and the reliability of structural safety evaluation and the scientificity of maintenance decision are remarkably improved.

The invention discloses a hydrostatic guideway performance testing device and a hydrostatic guideway performance testing method. The hydrostatic guideway performance testing device comprises a base, a pressurizing assembly, a driving assembly, an oil supply assembly, a detection assembly and a processor. A guide rail groove is formed in the guide rail, the pressurizing assembly is arranged on the base and provided with a first position abutting against the static pressure sliding block to apply pressure to the static pressure sliding block and a second position separated from the static pressure sliding block, and the driving assembly is used for driving the static pressure sliding block to slide in the guide rail groove. The oil supply assembly communicates with the static pressure sliding block. The processor is electrically connected with the detection assembly, and the processor is at least used for calculating the rigidity of the oil film, judging the bearing capacity of the static pressure sliding block through the rigidity of the oil film and judging whether the motion performance of the static pressure sliding block meets the standard or not through the flow of oil in the static pressure sliding block. The static pressure guide rail performance testing device solves the problem that a static pressure guide rail performance testing device in the prior art cannot comprehensively test the performance of a static pressure sliding block.

The invention relates to the technical field of safety monitoring, in particular to a building bearing capacity detection system based on the Internet of Things, which comprises a strain load module, an offset gradient module, a rhythm risk module, a threshold judgment module and a map reconstruction module. According to the method, the maximum strain excursion and direction reversal characteristics of adjacent time windows are analyzed and captured through the dynamic frequency excursion gradient, the response sensitivity to microcosmic bearing capacity fluctuation is improved, a strain jump rhythm map is constructed, sudden change time point time difference, amplitude difference and direction continuity parameters are extracted, and an abnormal load section is accurately positioned. The method comprises the following steps: identifying sudden strain jump events, performing cross-level rhythm map multi-dimensional comparison by applying a dynamic time warping algorithm, screening synchronous mutation nodes to generate a risk set, performing density clustering sorting based on direction consistency parameters, reconstructing a security level topological map, and improving visual spatial relevance and dynamic evolution characteristics of a structural instability path.

The invention discloses a combined stress loading anchor rod rapid corrosion device and a test method, and relates to the technical field of anchor rod corrosion tests.The combined stress loading anchor rod rapid corrosion device comprises a base, a test box, a vertical plate, a servo hydraulic station, an axial force loading unit, a radial force loading unit, a salt mist generator and a controller; a first cavity, a second cavity and a third cavity are arranged in the device, an axial force loading unit is arranged on the left side of each cavity, an anchor rod limiting mechanism is arranged on the right side of each cavity, and a radial force loading unit is arranged at the bottom of each cavity. Each chamber is provided with an electrocorrosion generation assembly, a ceramic heating sheet is fixedly embedded in the bottom of each chamber, a temperature and humidity monitor is arranged on the outer side of the test box, and the salt mist generator is arranged outside the test box. The three independent chambers in the test box are used for salt mist, raining, soaking and protolith state simulation corrosion tests respectively, so that the test efficiency is improved, the temperature in the box is convenient to regulate and control, and the accuracy of environmental simulation data is improved.

The invention discloses a zinc coating shedding performance detection method and system, particularly relates to the technical field of metal surface treatment quality detection, and is used for solving the problems of high misjudgment rate and insufficient detection precision caused by coating surface pseudo defect interference in the existing method. The method comprises the following steps: synchronously acquiring a multispectral reflection image and three-dimensional morphology data of the surface of a zinc coating through an industrial vision imaging device, extracting grain boundary distribution information based on multispectral data, and identifying radial pseudo defects in combination with a curvature manifold geodesic line energy gradient direction of the three-dimensional morphology; and further performing micro-crack topology analysis and grain boundary spatial correlation verification on the candidate region, eliminating texture interference and grain boundary overlapping regions, and finally outputting a high-confidence fall-off defect detection result, so that the identification capability of real defects under a complex galvanized surface is remarkably improved, and the method is suitable for automatic detection requirements of a high-speed continuous production line.

The invention discloses a quality detection method for a safety valve spring, and relates to the technical field of spring quality detection, and the method comprises the steps: constructing an appearance detection module, and carrying out the surface defect detection and size verification of a target safety valve spring; performing performance test and performance grade evaluation on the target safety valve spring through a performance detection module; and combining a surface defect detection result, a size verification result and a performance evaluation result to carry out spring quality comprehensive evaluation, and extracting a defective finished product production number according to a quality judgment result to carry out correlation analysis and defective product traceability. The technical problem that an existing safety valve spring quality detection method is low in accuracy and reliability due to the complexity of an application environment and the diversity of performance requirements in the prior art is solved, and the purpose of detecting the quality of the safety valve spring through all-dimensional and multi-angle appearance quality detection and performance attribute detection is achieved. And the accuracy and reliability of quality detection of the safety valve spring are improved.

The invention discloses a metal material welding performance testing device and testing method, and belongs to the technical field of welding testing devices. The metal material welding performance testing device is characterized by comprising a workbench, a fixed clamp is arranged at one end of the workbench, a movable clamp is arranged at the other end of the workbench, and a loading mechanism is arranged between the fixed clamp and the movable clamp; the fixed clamp comprises a fixed seat, the movable clamp comprises a movable seat, and a power structure for driving the movable seat to slide on the supporting table is arranged on the supporting table; clamping mechanisms for clamping a workpiece are arranged on the fixed seat and the movable seat, a vibration structure for applying vibration to the workpiece is arranged in the center of the clamping mechanism on the fixed seat, and the vibration structure is located in the workpiece. By adopting the device and the method for testing the welding performance of the metal material, disclosed by the invention, the problem that an existing testing device cannot be used for testing the tensile property and the compressive property of a welded suspension arm under the condition of multi-load loading can be solved.

The invention discloses a wire drawing machine operation state evaluation method and system based on deep learning, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: deploying a multi-source sensor at a preset part of a wire drawing machine, and forming a multi-dimensional operation data flow; the deep learning evaluation model is trained based on the standardized time series data set, model parameters are optimized through a cross entropy loss function, the model learns the characteristic difference between a normal working condition and an abnormal working condition, and the deep learning evaluation model is trained based on the standardized time series data set. And inputting a multi-dimensional operation data flow collected in real time into the trained deep learning evaluation model to generate a dynamic evaluation report. According to the wire drawing machine operation state evaluation method and system based on deep learning provided by the invention, a visual operation state score can be output, detailed fault type probability distribution is given, and intelligent support is provided for equipment maintenance decision.

The invention discloses an automatic testing device and method for multi-directional tensile strength of textiles based on constant tension, and relates to the technical field of tensile strength detection.The automatic testing device comprises a rigid rack system, and a high-elastic fabric optical response mechanism is integrated on a double-stand-column portal frame of the rigid rack system; the fiber damage process is reflected through the light transmittance of light to the fabric and the light spot change; the high-elastic fabric optical response mechanism comprises a sealing light insulation assembly, a light source assembly and an imaging assembly. The light source assembly comprises pulse LED light source arrays arranged at equal intervals in the fabric stretching direction, a lampshade and a transverse movement driving unit. The problems that in the prior art, when the tensile strength of a fabric is detected, only the limit value when a sample is completely broken can be recorded, and microcracks generated by step-by-step failure of fibers in the stretching process cannot be captured are solved. The device has the advantages that when the tensile strength of the fabric is detected, the fiber fracture process in the fabric is directly reflected through the change of light spots formed by light penetrating through the fabric, and the like.

The invention belongs to the related technical field of microbiological treatment of soil, and discloses a method for improving microbiological sand consolidation strength based on modified plant fibers. Natural plant fibers are subjected to alkali treatment modification, so that non-cellulose components on the surfaces of the natural plant fibers are removed, the roughness and the specific surface area are remarkably improved, the interface friction force and the mechanical connection capacity between the fibers and sand particles are enhanced, more nucleation sites are provided for microorganisms to induce calcium carbonate precipitation, and the content of calcium carbonate is increased. The strength of the solidified sandy soil can be effectively improved, and the biomineralization period is greatly shortened. Meanwhile, after the modified fibers are doped into the sandy soil, a three-dimensional interlaced fiber network structure can be formed in the material in combination with a microorganism induced calcium carbonate deposition (MICP) technology, and the cohesiveness among sand grains and the mechanical property of the overall structure are effectively improved. According to the solidification method, the solidification strength of the sand column is remarkably improved, the technology is simple, green and environment-friendly, and good engineering adaptability and popularization value are achieved in the field of sand solidification.

The invention discloses a method for testing mechanical properties of a carbon fiber reinforced composite material based on image recognition, and relates to the technical field of material tests.The method comprises the steps that a carbon fiber sample of a fiber laying layer is prepared, the width tolerance is controlled through laser cutting, and speckle patterns are sprayed on the surface; training a U-Net + + neural network based on the collected macro / micro image, and analyzing the dynamic change of the fiber angle in real time; fusing the acquired macro / micro image with the dynamic change of the fiber angle, and constructing a constitutive equation of dynamic fiber orientation distribution; and importing the constitutive equation into a finite element model, iteratively optimizing the fiber-matrix interface strength parameters through inversion calculation, performing blind test verification on the sample by using the optimized finite element model, and outputting a cross-scale correlation test report. According to the method, an interface strength parameter is subjected to inversion iteration optimization through a finite element model, a macro-micro strain field, a fiber slip angle and an interface damage parameter are integrated through a cross-scale correlation test report, and full-chain data support is provided for a composite material structure.

The invention discloses a coal fire area fracture active enhancement detection test system and method, and belongs to the technical field of mine safety and geophysical exploration, and the system comprises a fracture generation module which is used for simulating a heat-force-gas coupling condition of an underground coal fire area, and inducing a coal rock mass test piece to generate a fracture; the fracture detection module is used for synchronously acquiring multi-physics field data of the coal and rock mass test piece in real time; the fracture intervention module is used for injecting a natural medium simulant and an enhanced medium foam gel material into the fracture so as to simulate a real environment and enhance a detection signal; and the intelligent feedback and data fusion module is used for controlling operation parameters of each module, synchronously acquiring detection data, and performing fusion processing, intelligent inversion and four-dimensional visualization on the detection data to realize whole-process monitoring detection of fracture evolution. The invention provides a scientific method for precise delineation and targeted plugging treatment of hidden fractures in a coal fire area, and solves the problems of multiplicity of solution in traditional fracture detection and easy reburning in coal fire treatment.

An in-situ fretting corrosion fatigue testing machine based on synchrotron radiation diffraction and three-dimensional (3D) imaging includes an axial fatigue loading system, a fretting loading system, and a corrosion environment control system, where the axial fatigue loading system includes a driving device, a load control device, and a load sensing device; the load sensing device is configured to measure an axial force and a normal force in real time; the driving device is configured to drive the load control device, thereby achieving axial displacement of the load control device; the load control device is configured to carry out axial fatigue loading of a specimen; and the fretting loading system includes a fretting wear device. The testing machine achieves real-time 3D imaging characterization of wear spot and crack morphology of a material in a fretting corrosion environment, as well as characterization of a residual stress evolution law.

The invention discloses a novel textile fabric tensile strength detection device, and relates to the technical field of cloth detection equipment. The device comprises a base, a pressing block is arranged at the top of the base, push plates are arranged on the two sides of the pressing block, and first pressure sensors are installed in the push plates; an adjusting assembly is arranged on the top of the base. A rotating shaft, a gear and a toothed plate of the adjusting assembly are matched with a hydraulic rod and a clamping plate of the clamping assembly, accurate clamping and fan-shaped stretching of the side edge of cloth are achieved, and the defect that a traditional device can only conduct horizontal tension detection is overcome; an adjusting plate, an adjusting groove and a moving shaft of the linkage assembly are driven by a screw rod and a moving sleeve of the driving assembly, so that the cloth generates fan-shaped deformation under the action of lateral tension, the tensile strength of the side edge of the cloth can be evaluated more comprehensively in combination with dual monitoring of a first pressure sensor and a second pressure sensor, the accuracy of detection data is remarkably improved, and the detection efficiency is improved. The device is especially suitable for testing high-strength fabrics with easy-to-tear side edges.

The invention relates to a concrete degradation simulation method and system under continuous load-chloride ion coupling, and solves the problems that systematic research on overall mechanical property degradation of a concrete structure under the load and chloride ion coupling effect is lacked, and the degradation condition of the concrete structure in an actual service environment is difficult to comprehensively reflect. The method comprises the following steps: applying a continuous load to a test block, preparing a solution according to a stress type to determine a chloride ion diffusion direction, applying an electric field to accelerate migration and maintain test stability, and after an experiment, measuring the penetration depth and calculating a diffusion coefficient; in the process, multi-dimensional data such as cracks and acoustic emission are collected and subjected to PCA dimension reduction and redundancy removal, then damage factors are inversed through deep learning modeling in combination with dual-stage optimization and physical constraint, and finally damage and chloride ion parameters are fused to form gradient parameters fitting actual degradation. The method has the following effects that the concrete degradation process is accurately simulated, a basis is provided for durability evaluation and life prediction, and the engineering safety and economy are improved.

This application relates to a test device applied to a coupled environment of stress, wear, and corrosion, and a quantitative evaluation method, and belongs to the field of failure analysis of materials. The test device includes a stress-loading mechanism configured to load a stress on a sample, a corrosion mechanism configured to conduct an electrochemical corrosion test on the sample, and a wear mechanism configured to wear a sample. The test device applied to a coupled environment of stress, wear, and corrosion of this application can establish a wear-stress-corrosion coupled action test process, and can investigate service behaviors of various metallic materials and metal matrix composites under conditions close to actual service conditions to obtain key behavior data under a multi-factor coupled action, quantitatively analyze a wear, a corrosion, a wear-corrosion interaction, a stress-wear interaction.

A performance testing apparatus and testing method for a data cable, belonging to the technical field of data cable performance testing. An arranged testing unit (2) can carry out three separate testing contents, namely a tensile strength test, a torsion test, and a wear resistance test on the basis of testing sequence requirements, and can also separately carry out pairwise combination tests or simultaneous testing of three items, so that a testing result is ensured to be more accurate while the testing contents are flexible. A positioning unit (3) comprises a fixture which consists of a set of a rubber pad one (340) and a rubber pad two (3710) that are oppositely arranged and which is in contact with the data cable. A rubber material is unlikely to damage the outer skin of a data cable, and the end surfaces of the rubber pad one (340) and the rubber pad two (3710) in contact with the data cable are arranged in a concave-convex shape, so that the data cable is better fixed and clamped, thereby preventing the two ends of the data cable from being loosened during testing and affecting testing progress and testing results.

The invention relates to the technical field of monitoring, in particular to a cable aging monitoring and early warning method and system. The method comprises the following steps: acquiring cable monitoring data, and performing electrical characteristic analysis to obtain electrical characteristic data; performing conductor oxidation analysis based on the electrical characteristic data to obtain conductor oxidation data; cable image feature extraction is carried out according to the cable monitoring data, cable morphology type division is carried out, and curve segment cable data and winding segment cable data are obtained; performing bending fatigue analysis on the curve section cable data to obtain bending fatigue data; performing winding stress analysis on the winding section cable data to obtain winding stress data; performing material damage evaluation according to the bending fatigue data and the winding stress data to obtain material damage data; and carrying out damage position identification according to the material damage data to obtain damage position data. The cable aging monitoring accuracy and the early warning response rate are improved based on the monitoring technology.

The invention provides a river levee flood control pile foundation stress analysis method and system, and relates to the technical field of river levee flood control pile foundation stress analysis. Multi-channel sensors are arranged on the pile top, the pile side and the pile end, and the sampling frequency is automatically switched along with the flood stage; inverting the soil saturation based on displacement and pore pressure change, dynamically correcting the permeability coefficient and the effective stress, and outputting a space-time coupling parameter matrix; determining a hazard source for the monitoring point, constructing an elliptical search domain by taking the hazard source as a center, and recursively incorporating abnormal points to form a risk area; a seepage-structure full-coupling finite element model is established in the risk area, the outside of the area is simplified through an equivalent spring boundary, and a pile foundation stress-strain field and a safety coefficient are calculated through self-adaptive time step control; and finally, generating a risk report according to safety factor classification, marking a high-risk area, automatically improving the sampling frequency and triggering early warning.

The invention provides a rock mass fracture quantitative identification method based on an image processing technology, and relates to the technical field of rock mass fracture identification, and the specific steps are as follows: obtaining a rock mass surface image and carrying out graying processing, identifying a fracture part through threshold segmentation, and carrying out connected domain marking to extract geometric parameters of a fracture; meanwhile, the load and mechanical property parameters of the rock mass are collected, the maximum value of the fracture length, the maximum value of the fracture width and the maximum value of the fracture depth are screened out, a fracture evaluation model is constructed, calculation and correlation analysis of a fracture grade coefficient, a rock mass rock burst coefficient and a damage coefficient are conducted, a comprehensive evaluation coefficient is generated, and the fracture risk grade of the rock mass is evaluated according to the comprehensive evaluation coefficient. The method not only considers the number of fractures, but also combines the physical and mechanical properties of the rock mass, can better perform quantitative evaluation of the rock mass fractures, improves the accuracy of rock mass stability evaluation through depth analysis of key parameters, and can more effectively identify potential risks.

The invention discloses an intelligent curing method and system driven by sensing of an internal temperature and humidity field of concrete. The intelligent curing method comprises the following steps that the surface tensile strength and the elastic modulus of the concrete of the same concrete mix proportion and different ages are obtained; according to the concrete maturity theory and the concrete surface tensile strength of different ages, a fitting function of the concrete surface tensile strength is obtained; predicting a fitting function through the elastic moduli of different ages and the elastic moduli; obtaining the inner surface control temperature difference of the concrete at different ages by utilizing the relationship between the concrete surface tensile strength and the concrete surface tensile stress and combining the fitting function of the concrete surface tensile strength and the elastic modulus prediction fitting function; and the concrete curing environment temperature and humidity are intelligently controlled according to the inner surface control temperature difference of the concrete of different ages. By dynamically determining the concrete curing temperature control index and combining with the humidity requirement, the on-off of the curing equipment is controlled, and the temperature and humidity of the concrete curing environment are intelligently controlled.

The invention discloses a reinforced cable core wire test method and a related device, and the method comprises the steps: carrying out the matching analysis of the material structure parameters of a to-be-tested cable and the phase change characteristic parameters of a critical phase change fluid, and obtaining test parameters; controlling the critical phase change fluid to perform gas-liquid phase change near a critical point according to the test parameters, and applying a phase change stress wave and a circulating temperature load to the to-be-tested cable to obtain stress response characteristics; analyzing phase change stress wave propagation characteristics according to the stress response characteristics to obtain interface micro-motion characteristic parameters; performing quantitative analysis according to the deviation between the interface micro-motion characteristic parameters and the standard reference data to obtain a failure risk level; and determining safe use parameters according to the failure risk level. According to the method, the high sensitivity of the critical phase change fluid to tiny disturbance near the critical point is utilized, and the synergistic effect of the thermal cycle load and the phase change stress wave is combined, so that the high sensitivity detection of the internal interface micro motion of the cable is realized, and a reliable basis is provided for the performance evaluation and the service life prediction of the cable.

The invention discloses an inner blowout prevention tool nonmetal part tensile test tool and a test method thereof, and belongs to the technical field of tensile tests.The inner blowout prevention tool nonmetal part tensile test tool drives two test assemblies to conduct position exchange by switching a feeding assembly, so that a clamped sample can be smoothly located in an arc-shaped cover to conduct side tensile test operation, and the test efficiency is improved. Double-station switching type feeding operation is adopted, continuous feeding operation can be achieved in a reciprocating mode, the sample testing efficiency can be greatly improved through double-station switching type feeding, secondly, a protection plate in a switching feeding assembly can be matched with an arc-shaped cover to keep a closed machining area, the stretching safety is guaranteed, and in the rotating process of the testing assembly, the machining efficiency is greatly improved. And a rolling ball in a limiting assembly is driven to extrude the side edge of an arc-shaped cover, so that the rolling ball can push an upper second piston rod to move, the upper second piston rod can drive a third piston rod to move through hydraulic pressure, a clamping tooth plate is meshed with a third gear, the position of a stud can be locked, and therefore the clamping firmness of the sample can be effectively improved.

The invention belongs to the technical field of underground engineering, and discloses an omnibearing intelligent monitoring system, method and device for an underground anchoring pull-out test. According to the method, electromagnetic signals generated in the stress process of the anchor rod are captured in real time through an electromagnetic sensor, and internal stress changes and energy distribution are reflected; the deformation and stress states of the anchor rod in the dynamic environment are evaluated through a strain gauge and accelerometer combined data combination method, the deformation condition of the anchor rod is monitored through the strain gauge, and the stress-strain relation is recorded; an accelerometer is used for detecting the dynamic response of surrounding rock mass so as to evaluate the overall stability of the rock mass; a coupling medium is injected, the computer terminal stores the collected signals locally or in a cloud end and analyzes the signals, stress and deformation parameters in an anchor rod pull-out test are extracted, and an anchor rod stress cloud picture is generated in real time. According to the method, the safety and reliability of underground engineering are remarkably improved, and a new technical support is provided for evaluation of anchoring quality.

The invention provides a cooperative early warning method, system, equipment and medium for deformation stress of soft soil around a pile, and relates to the technical field of underground engineering, and the method comprises the steps that monitoring data of the soft soil around the pile are obtained based on monitoring points, and the monitoring points comprise pile body monitoring points and soil body monitoring points; feature extraction is conducted on the monitoring data, and monitoring indexes reflecting pile periphery soft soil deformation and stress evolution are obtained based on information contribution degree difference and sensitivity selection; performing model construction based on the monitoring data and the monitoring indexes, and obtaining a deformation-stress collaborative map of the soft soil around the pile by considering risk assessment and spatial heterogeneity; and on the basis of the deformation-stress collaborative atlas, abnormal recognition of the soft soil around the pile is carried out, an abnormal area is obtained through embedded learning and clustering analysis, graded early warning is carried out according to the abnormal area, and an early warning result of the soft soil around the pile is obtained. The problem that an existing early warning method for the soft soil around the pile lacks dynamic sensing and combined early warning in the pile-soil interaction process is solved.

The invention provides an intelligent detection method and system for the tensile property of a plastic cable tie. Gradient temperature rise control is executed through the carbon fiber heating tube array, microscopic deformation fluctuation characteristics are captured through the double-grating displacement sensor, and temperature field distribution is collected through the infrared thermal imager. Establishing dynamic correlation between deformation and a temperature field to generate a three-dimensional space-time atlas, identifying a migration path of a thermal aggregation area, recording a standard path, and calculating a thermal anomaly coefficient in combination with pressure data; analyzing temperature conduction hysteresis to generate a heat conduction parameter, and dynamically correcting a threshold value by cross-modal correlation with an abnormal coefficient; a structure degradation index is generated based on the migration path, mapping between the structure degradation index and a temperature field is established to generate a thermal damage compensation coefficient, an abnormal coefficient is calibrated accordingly, and grading early warning is triggered in combination with the path deviation degree. According to the technical scheme provided by the invention, multi-scale damage evaluation from thermodynamic associated data acquisition to molecular chain fracture inversion is realized, and the high-temperature tensile failure critical point is accurately pre-judged through a dynamic calibration early warning mechanism.

The invention discloses an egg quality detection system and method based on multi-sensor fusion, and relates to the technical field of multi-dimensional data process.The method comprises the steps that texture features are extracted from visible light images, and feature wavelengths are extracted from spectrums; pressure distribution and shell deformation in the pressing process are synchronously collected; recording a pressure-time curve and a deformation-time curve, extracting characteristic parameters, and constructing a three-dimensional dynamic model; performing wavelet transformation on the response curve of each sensor, extracting time-frequency domain characteristics, and generating a smell fingerprint spectrum; scanning the surface of the egg to excite resonance response, recording a sound pressure signal, and converting the sound pressure signal into frequency domain data through fast Fourier transform; and presetting a business rule, and generating a final decision by combining the model output with a rule matching result. The pressure feature extraction module, the smell feature extraction module and the crack degree quantification module are arranged to realize data depth association, and the quality inspection credibility is improved through an interpretable decision model.

The present disclosure relates to an apparatus and method for measuring an elastic modulus. The method of measuring an elastic modulus of a specimen including a conductive material and an insulating material with which a surface of the conductive material is coated includes a first bending test operation of applying a first load to a first surface of the specimen, a second bending test operation of applying a second load to a second surface that meets the first surface of the specimen, a first calculation operation of calculating a first bending elastic modulus of the specimen based on a first value measured in the first bending test operation, a second calculation operation of calculating a second bending elastic modulus of the specimen based on a second value measured in the second bending test operation, and a third calculation operation of calculating an elastic modulus of the conductive material and an elastic modulus of the insulating material based on the calculated first bending elastic modulus and the calculated second bending elastic modulus.

The invention belongs to the field of rock-soil mechanical test equipment, and particularly discloses a shear slip test device for testing mechanical properties of high-temperature fractured rock mass, which comprises a shear test platform, a shear test box, a sound wave emission system, and a temperature control module and a circulating cooling system integrated in the shear test box. The shear test platform realizes independent control of normal force and shear force through a first loading block and a second loading block; the temperature control module and the circulating cooling system can simulate a high-temperature environment and perform a cold and hot cycle test; the acoustic emission system is used for monitoring acoustic emission signals in the rock sample in real time. The device can accurately simulate a high-temperature and cold-hot cycle environment, has high-precision mechanical loading capacity and a multi-parameter monitoring function, provides an effective experimental means for researching the mechanical property and damage mechanism of a high-temperature fractured rock mass, and can be widely applied to the research fields of deep geothermal resource development and enhanced geothermal systems.