1116 results about "Micro cracks" patented technology

The invention discloses a wind turbine generator hoisting construction tower drum operation system and a construction method thereof, and relates to the technical field of intelligent control. The problems that in the prior art, a static tension balance mechanism cannot restrain bending moment abrupt change, steel-concrete interface stress concentration causes microcrack propagation, the wave dynamic load compensation capacity is insufficient, and dynamic rigidity attenuation early warning is lacked are solved. Comprising a dynamic load prediction module, a multi-mode vibration suppression module, an offset compensation module and a digital twinborn decision module, a hoisting load is solved in real time through a multi-physics field coupling model and an improved time sequence deep learning algorithm, and interface crack propagation is suppressed in combination with traveling wave offset control and sweep frequency vibration. An improved Morison equation is adopted to drive a two-stage hydraulic servo to compensate a wave dynamic load, and a digital twin closed-loop correction mechanism is constructed based on a 5G URLLC protocol; the tower drum hoisting precision, the structural safety and the operation reliability under the complex working condition are remarkably improved.

The invention belongs to the technical field of concrete crack detection, and particularly discloses and provides a high-strength concrete construction crack detection system and method.The system comprises a multi-parameter cooperative sensing module, a construction crack recognition module, a crack risk analysis module and a crack early warning processing module. According to the invention, the temperature, humidity, strain and multispectral image data from a plasticity stage to a hardening stage are collected in real time through the multi-parameter cooperative sensing module, and crack characteristics are extracted by combining staged differential signal processing and a deep convolutional neural network, so that the detection precision of micro cracks and internal defects is remarkably improved. Meanwhile, multi-physics field data are fused, a crack evolution risk rate model is innovatively constructed, dynamic probability prediction before crack initiation is achieved, a grading disposal scheme is automatically triggered through risk grade division and a progressive early warning mechanism, drying shrinkage and temperature crack causes are effectively distinguished, the prevention and control efficiency is remarkably improved, and the method is suitable for large-scale popularization and application. And full-life-cycle accurate monitoring of the high-strength concrete is supported.

The invention discloses an egg surface microcrack detection system and method based on image analysis, and relates to the field of surface defect nondestructive detection.The method comprises the steps that a process identification interface module obtains a processing process identifier of an egg in real time; the multi-angle annular light source module is provided with a multi-band annular light source array comprising visible light and near-infrared LED lamp beads which are independently controlled, a polaroid group and a beam splitter prism are integrated, and visible light polarization images and near-infrared polarization images on the surfaces of the eggs are synchronously collected; the thermal excitation enhancement unit obtains a thermal infrared image; the process filtering module extracts the axial elongation of the mechanical stress microcrack after graded transportation, and calculates the mesh fractal dimension of the thermal stress microcrack after UV disinfection; the multi-modal feature fusion module generates a dual-channel crack probability graph; and the dynamic feedback control module outputs a micro-crack risk grade and adjusts the rotating speed of the objective table and the light source intensity. The method has the advantages that accurate judgment of mechanical and thermal stress cracks is realized, and curved surface reflection interference is broken through.

The invention relates to the technical field of visual inspection, in particular to a multi-mode industrial product dynamic defect detection system based on edge calculation. According to the method, by introducing a multi-modal image construction and enhancement mode, three-dimensional acquisition and enhanced expression of detail information of the surface of the wind power blade are realized, and by means of inter-modal image synchronization and a space registration mechanism, the consistency extraction capability of defect information under different sensor view angles is improved; through combination of density change trend analysis and direction mutation identification means, surface micro cracks, edge damages and other structural changes can be accurately identified in continuous frames, and further through multi-source discrimination and mutual elimination comparison of abnormal indexes, environmental interference and misjudgment risks are effectively eliminated, and the accuracy of the detection result is improved. Therefore, a stable defect track area with direction consistency and distribution continuity is screened out, accurate detection and partition identification of the surface defects of the wind power blade under the dynamic condition are achieved, and the reliability and precision of defect positioning are remarkably 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 relates to a tin ring automatic focusing laser soldering tin fixing and 3D welding spot detecting system, and belongs to the technical field of industrial automatic laser processing. The system is characterized in that a tin ring preparation module identifies pins in real time and dynamically optimizes winding parameters through visual positioning and a self-adaptive winding head, and performs defect identification and pre-repair analysis through multispectral imaging; the soldering tin positioning module is used for switching stations through a rotary table, and precise positioning and clamping of a product are realized by combining laser contour sensing and a focusing compensation algorithm; the laser tin soldering module can visually identify tin materials and automatically call welding parameters, laser power and action time are regulated and controlled in real time by establishing a regional heat conduction model, and gradient cooling is implemented after welding; and the 3D detection module adopts dual-mode scanning, constructs a welding spot three-dimensional model based on fusion data, recognizes microcracks through super-resolution processing, and discriminates the welding spot quality. And automation and intellectualization of the whole process from tin ring preparation to welding spot quality detection are achieved.

The invention discloses a brittle material laser cutting thermal stress control method and system, and the method comprises the steps: obtaining real-time temperature distribution through infrared thermal imaging, combining finite element analysis and material characteristic dynamic data, constructing a thermal stress and fracture relation model, carrying out the iterative calculation of a thermal stress out-of-control threshold through a lambda algorithm, and determining a regulation boundary condition. According to the boundary condition, laser parameters are optimized, synchronous cooling airflow is introduced, the temperature gradient is dynamically controlled through an airflow pressure adjusting algorithm, historical data are processed through a convolutional neural network, the optimal laser parameter combination is predicted, in the cutting process, the microcrack diffusion state is monitored in real time, and auxiliary technological parameters are finely adjusted when necessary. The problem of fracture caused by out-of-control thermal stress in laser cutting of the brittle material is effectively solved, the cutting quality and efficiency are improved, and a new technical scheme is provided for precision machining of the brittle material.

The invention belongs to the field of asphalt mixture performance analysis, and particularly discloses a fatigue performance analysis method for an asphalt mixture of an asphalt pavement, which comprises the following steps of: synchronously acquiring a dynamic strain field and a temperature field in a material by fusing an embedded sensor in a paving and rolling construction process; a temperature-strain coupled fatigue damage evolution model is combined to construct an on-line fatigue performance analysis system oriented to the whole construction process, so that a complex heat-force coupling environment and a non-uniform compaction process in actual paving operation are effectively restored; scale effect deviation and boundary condition distortion caused by difference between laboratory test piece preparation and on-site working conditions are remarkably reduced, and meanwhile, in the online detection process of the fatigue performance of the asphalt mixture, instant quantitative judgment of the performance state of the pavement structure is realized by positioning a damage remarkable overrun area; and the in-situ monitoring capability on the initial fatigue damage is fully reflected, so that the abnormal strain accumulation process before microcrack initiation can be captured.

The invention discloses an automobile seat framework machining defect detection method based on machine vision, and particularly relates to the technical field of defect detection. The method comprises the following steps: constructing a multi-angle image acquisition and edge reflection modeling module aiming at complex defects such as weld joint pseudo soldering, microcracks, hole site deviation and collapse deformation, extracting weld joint continuity, edge integrity and hole site geometric consistency characteristics by using a deep neural network, and generating a structural feature vector; defect type recognition and credibility scoring are completed through small sample anomaly modeling and Gaussian mixture model classification, sub-pixel-level coordinate labeling of defect positions is achieved in combination with a Gaussian fitting algorithm, a defect positioning map is output, traceability analysis and severity grading are conducted based on historical data comparison, and the defect positioning accuracy is improved. The method is suitable for industrial online detection and quality closed-loop control.

The invention provides a mobile phone glass quality detection method and system based on image detection, and relates to the technical field of image defect detection, and the method comprises the steps: configuring an imaging condition for collecting a mobile phone glass image, and collecting an original image of mobile phone glass according to the configured imaging condition; constructing a transparency enhancement algorithm according to a transparent background existing in the collected original image, and processing the original image according to the transparency enhancement algorithm to obtain an enhanced image; a crack boundary self-enhancement step is introduced, micro cracks and fuzzy scratches existing in an enhanced image are positioned, the enhanced image is marked according to the positioning result of the micro cracks and the fuzzy scratches, and a marked image is obtained. The phenomenon of false detection or missing detection easily occurring in mobile phone glass detection under a transparent background in related technologies is solved through a transparency enhancement algorithm; and the problem that boundary fuzzy defects such as microscopic cracks and fuzzy scratches with extremely low contrast are difficult to identify is solved through the crack boundary self-enhancement step.

The invention relates to the technical field of defect detection systems, and discloses a titanium alloy surface crack defect detection system based on deep learning. According to the system, a crack feature extraction module is used for collecting a titanium alloy surface image and extracting multi-scale crack features including crack trend distribution features and micro-crack density features; the multi-modal data fusion module is used for receiving the multi-scale crack features and performing space-time alignment on the multi-scale crack features and ultrasonic reflection wave features collected in real time to generate a fusion defect feature matrix; the dynamic learning engine module is used for constructing a crack propagation prediction model according to the historical change trend of the fusion defect feature matrix and outputting a dynamic defect response vector; the defect positioning module is used for mapping the dynamic defect response vector to a titanium alloy surface three-dimensional coordinate space to generate a defect position thermodynamic diagram; and the self-adaptive scanning control module is used for analyzing the defect confidence of each area in the defect position thermodynamic diagram and dynamically adjusting the scanning path and the focal length parameter of the industrial camera.

The invention discloses shrinkage-free aluminoferrite cement-based ultra-high performance concrete and a preparation method thereof, and belongs to the technical field of novel wall materials, and the shrinkage-free aluminoferrite cement-based ultra-high performance concrete comprises the following components: an activated cementing material, mineralized aggregate, an additive, reinforced fibers and mixing water. Due to the slow release effect of the methyl cellulose coating on the composite expanding agent, precise compensation of self-constriction is achieved, and contraction deformation in the curing and using process is effectively inhibited. Due to the unique mineral composition of the aluminoferrite cement, the early strength of the concrete is sharply improved, and the production cycle of prefabricated parts is greatly shortened. The steel fibers subjected to sand blasting and pre-wrapping modification can effectively bridge microcracks in the concrete and limit crack propagation; the polycarboxylate superplasticizer disperses the modified carbon nanofibers, crack initiation is inhibited from the microscopic level, and mechanical properties such as fracture resistance and impact resistance of the joint part and the prefabricated part are remarkably improved through cooperation of the polycarboxylate superplasticizer and the modified carbon nanofibers.

The invention discloses a preparation method of a nickel-based tungsten carbide laser cladding wear-resistant gradient coating, which comprises the following steps: step 1, preparing mixed powder of a transition layer, a functional layer and a repair layer; step 2, pretreating a matrix: removing oxide skin on the surface of the matrix, polishing to be smooth, and preheating the matrix to 350-500 DEG C; step 3, sequentially preparing a first functional layer, a transition layer, a second functional layer and a repair layer by adopting a laser cladding process; and 4, coating post-treatment is conducted, specifically, the surface of the repairing layer is polished to the specified thickness, and the defect-free wear-resistant gradient coating is formed. Through gradient component layered design, the functional layer adopts high tungsten carbide content to maximize wear resistance, and the transition layer relieves thermal expansion difference between the coating and a matrix, reduces interface stress and reduces crack initiation; according to the repairing layer, micro-cracks and air holes generated in the cladding process are filled through low-hardness nickel-based components, and the compactness and surface integrity of the coating are remarkably improved.

The invention discloses a method for analyzing the influence of a rock mass multi-scale structure on deep geothermal reservoir circular mining, and relates to the technical field of geothermal resource development and rock mechanics, and the method comprises the following steps: establishing a reservoir rock mass mechanical analysis model and a seepage heat transfer analysis model which simultaneously comprise a microscopic microcrack structure and a macroscopic crack structure; based on the reservoir seepage heat transfer analysis model, reservoir temperature field and seepage field analysis is carried out, and water pressure and temperature distribution results are transmitted to the mechanical analysis model; based on the reservoir mechanical analysis model, reservoir stress and deformation analysis under the heat-water-force coupling effect is carried out, and changes of microcosmic microcrack and macroscopic crack structures in the reservoir rock mass are obtained; the rock mass permeability evolution equation and the porosity evolution equation are adopted to calculate the reservoir rock mass permeability tensor and the porosity, and the reservoir rock mass permeability tensor and the porosity are transmitted to the seepage heat transfer analysis model; and solving the reservoir temperature field, the water pressure field and the mechanical response in the geothermal circulation exploitation process by adopting a seepage heat transfer analysis and mechanical analysis staggered iteration mode. By analyzing the reservoir temperature, the water pressure, the deformation evolution response and the reservoir permeability change in the geothermal exploitation process, geothermal exploitation design and protection can be reasonably carried out, and the application prospect is good.

The invention relates to the technical field of ball valves, provides an intelligent sensing modular ball valve and a control method, and designs a valve body module and a control module. The valve body module is integrated with a multi-mode sensor, comprises a spirally-distributed acoustic sensor array, a physical quantity sensor group and a valve element state detection sensor, and monitors fluid acoustic characteristics, pressure, temperature, flow, liquid level and valve element displacement and torque in real time. The control module analyzes sensor data through a data fusion algorithm, and early identification of cavitation faults and detection of micro-crack faults are achieved. The system adopts an 8-bit dynamic coding mechanism to accurately position the fault type, and adjusts the opening or torque of the actuator in a linkage manner. The method has multi-parameter cooperative sensing, early fault early warning and self-adaptive control capabilities, and the reliability and safety of the ball valve under complex working conditions are remarkably improved.

The invention relates to a semiconductor packaging structure and a packaging method thereof, and belongs to the technical field of semiconductor devices.The semiconductor packaging structure comprises a substrate, a chip, a radiator and a packaging shell, and further comprises an alloy needle matrix arranged below the radiator and a heated self-deformation fin arranged between the upper surface of the chip and the packaging shell; needle bodies of the alloy needle matrixes penetrate through the through holes in the substrate, needle tips of the alloy needle matrixes directly make contact with the back faces of the chips through the heat conduction springs, the heated self-deformation fins are unfolded through heating and abut against the top of the radiator, a double-channel vertical heat dissipation system is constructed, heat conduction paths from the chips to the radiator are directly broken through, and the double paths work in parallel. It is ensured that heat is vertically transmitted to the radiator through the shortest path, loss of traditional transverse heat diffusion is avoided, and the problems of thermal resistance accumulation caused by series connection of multiple layers of media, interface shear stress and micro cracks caused by mismatch of material thermal expansion coefficients of an existing semiconductor packaging structure are solved. And the problems of heat dissipation path failure and local high temperature of the chip caused thereby are solved.

The invention relates to the technical field of coal mining, in particular to a grouting reinforcement anti-seepage method for an underground coal mine, which comprises the following steps: cleaning and temporarily supporting a target area; scanning the surrounding rock by adopting intrinsic safety type detection equipment to obtain fracture parameters and generate a three-dimensional distribution diagram; designing a construction grouting hole and cleaning the hole; double-liquid grouting equipment is adopted, reinforced grout containing aggregate is injected firstly to fill large cracks, after the reinforced grout is initially set, impermeable grout such as acrylate is injected to block micro cracks, and grouting pressure and flow are monitored and controlled in real time; finally, strength and impermeability detection is carried out, and hole patching and grouting are carried out if the standard is not met; according to the method, through accurate detection, partition design, staged grouting and strict quality inspection, the problem that in a traditional method, the reinforcing effect and the seepage-proofing effect are difficult to cooperate is solved, integrated construction of high-strength reinforcing and efficient seepage-proofing of the surrounding rock is achieved, and the engineering quality and efficiency are improved.

The invention provides a carbon fiber composite material microcrack image segmentation method based on a two-stage super-resolution dynamic attention network, and the method comprises the steps: collecting a microscopic image of a to-be-detected carbon fiber composite material, and carrying out the preprocessing of the image, so as to improve the discrimination between a crack and a background; scanning the preprocessed image by adopting a multi-scale sliding window, carrying out microcrack feature extraction in combination with morphological Top-hat transformation, and positioning a candidate region with microcracks; cutting an image corresponding to the candidate region into sub-images, inputting the sub-images into a pre-trained super-resolution reconstruction network, and amplifying the sub-images to 2-8 times of the original size to obtain a high-resolution candidate region image; inputting the super-resolution enhanced candidate region image into a pre-trained convolutional neural network model for pixel-level crack segmentation to obtain a segmentation result of cracks in the candidate region; and mapping the segmented micro-crack region back to an original image coordinate system, marking the position and shape of the crack on the original image, and outputting a final micro-crack segmentation result.

The invention belongs to the technical field of metal crack detection, and discloses a metal microcrack ultrasonic detection method, which comprises the following modules: an ultrahigh frequency composite array probe with a center frequency dynamic adjustable range of 5-50 MHz; the dual-mode excitation and receiving module is used for independently generating a pulse reflection mode excitation signal and a diffraction mode chirp frequency modulation signal; the phase-controlled synthetic aperture dynamic focusing module is used for realizing + / -60-degree deflection and sub-wavelength level focusing of acoustic beams; the nonlinear harmonic enhancement module is used for exciting a crack nonlinear effect by superposing 1-2MHz fundamental waves; and a time-space-frequency three-domain data fusion module. According to the method, signal-to-noise ratio collapse caused by the diffraction effect in a traditional method is overcome, more importantly, the system has low-frequency penetrability and high-frequency resolution at the same time due to 80%-120% of broadband coverage of chirp frequency modulation signals, the diffraction signal gain is increased by 20 dB or above, a near-surface blind area is compressed to be within 0.2 mm, and the system can be applied to the field of radar imaging. And the core pain point of missing detection of the near-surface microcracks of the thin-wall component is solved.

The invention discloses an underground safety monitoring and polling device, and belongs to the technical field of coal mine safety polling. Comprising a conveying belt body and an inspection robot. A jacking and extending assembly is installed between the inspection robot and the supporting plate, when the detected cracks on the conveying belt body need to be repaired or marked, the jacking and extending assembly drives the supporting plate to descend and abut against the conveying belt body, and the walking conveying belt body drives the inspection robot and the conveying belt body to move synchronously; a cleaning roller is arranged on the other side, close to the supporting plate, of the bottom of the inspection robot, two spraying heads are arranged on the side, close to the supporting plate, of the cleaning roller at equal intervals, and a transmission mechanism drives the corresponding spraying heads to distinguish slight cracks or serious cracks, detected by the inspection robot, on the conveying belt body; according to the invention, respective processing can be carried out according to the crack degree, the detection efficiency is effectively improved, and the problem that an existing robot lacks an effective processing means is solved.

The invention discloses freeze-thaw resistant concrete and a preparation method thereof, and belongs to the technical field of cement-based building materials, the freeze-thaw resistant concrete comprises the following raw materials by mass: 35-40 parts of ordinary Portland cement, 100-180 parts of aggregate, 0.5-0.8 part of a water reducer, 4-6 parts of a phase change material, 2-5 parts of modified composite cellulose and 15-20 parts of water. According to the freeze-thaw resistant concrete prepared by the invention, polar groups on the surface of the modified fiber and the phase-change material form chemical bonds, so that the heat conduction efficiency is improved, the phase-change material quickly absorbs / releases heat during temperature change, the thermal response time is shortened, and the adaptability of a concrete structure to environmental temperature fluctuation is improved. The cellulose network with controllable porosity limits the volume expansion of the phase change material in the phase change process, so that the stress concentration in the concrete is avoided, and the generation of microcracks is reduced.

The invention relates to the technical field of concrete pole damage monitoring, and discloses a concrete pole damage monitoring method based on modal recognition, comprising the following steps: S1, multi-modal data acquisition; s2, edge side real-time processing and micro-damage identification; s3, performing model diagnosis based on cloud depth; s4, performing digital twin driven damage evolution prediction; and S5, performing dynamic risk assessment and decision support. According to the method, through synchronous acquisition and fusion of multi-source data, the limitation of a single sensing mode is overcome, multi-dimensional and cross-modal collaborative recognition of the microcrack germination stage is realized, and the sensitivity and reliability of early damage detection are remarkably improved; a lightweight damage identification model is deployed on the edge side, so that the instant early warning requirement of micro-damage germination is met; damage positioning and degree evaluation are carried out through the cloud based on a multi-modal fusion deep learning model, an efficient collaborative architecture of edge real-time early warning and cloud accurate diagnosis is formed, and the system response speed and decision accuracy are greatly improved.

The invention relates to the technical field of concrete structure repair, and particularly discloses a high-freezing-resistance and high-permeability concrete crack repair material and a preparation process thereof. The repairing material comprises the following components in parts by weight: 10-50 parts of acrylic acid, 12-50 parts of methyl methacrylate, 0.2-3.0 parts of a cross-linking agent, 0.05-2 parts of an oxidizing agent, 0.01-1 part of a reducing agent and 2-10 parts of watermelon leaf powder-saturated lime water suspension. The repairing material disclosed by the invention not only has good permeability, can penetrate into microcracks, but also has good frost resistance, so that the repairing material can be well applied to repairing of weight cracks of a concrete structure in a low-temperature environment.

The invention belongs to the technical field of metal additive manufacturing post-processing, and relates to a method for achieving crack closing of a tungsten component prepared through SLM based on SPS. The method mainly comprises the following steps that S1, a tungsten component is prepared, specifically, a pure tungsten component is prepared through a selective laser melting (SLM) technology; s2, the SLM forming component is subjected to surface cleaning and support removing treatment, and after it is ensured that no powder residues exist, accurate positioning and placing treatment is conducted; and S3, SPS treatment process: putting the graphite mold treated in the step S2 into SPS equipment for sintering treatment. Through the combined action of high temperature and mechanical pressure, inevitable microcracks in the SLM pure tungsten component are effectively closed, and the compactness and integrity of the component are remarkably improved.

The invention discloses a microscopic crack dynamic in-situ characterization method, and relates to the technical field of crack in-situ detection. According to the method, a plurality of hardened cement paste bodies are soaked in a sulfate solution, the porosity development trend of the hardened cement paste bodies is obtained through a nuclear magnetic resonance test and a mercury injection test in the soaking process, a test sample and a test sample are prepared after soaking is finished, and the crack propagation length of the test sample is measured through a scanning electron microscope. According to the distance gradient between the sampling angle of the test sample and the exposed surface, space coordinates of crack cracking are converted into a time process along the center axis of the test sample, a delay microscope is established on the microscale, and the test sample is scanned by using X-ray computed tomography equipment in a matched mode; a crack propagation animation image is formed based on a crack form between adjacent X-ray tomography slices, and a crack development process is obtained by continuously capturing high-resolution images, so that omission of time information is avoided, and in-situ detection of microscopic cracks in a hardened cement paste sample is realized.

The invention relates to a high-purity corundum brick with high thermal shock resistance and a preparation method thereof, and belongs to the technical field of refractory materials. The high-purity corundum brick with high thermal shock resistance is prepared from the following raw materials in parts by mass: 55 to 65 parts of tabular corundum particles, 20 to 25 parts of tabular corundum fine powder, 8 to 12 parts of modified fused zirconia corundum particles, 5 to 8 parts of nano aluminum oxide powder, 2 to 3 parts of rho-aluminum oxide powder, 0.3 to 1 part of toughening agent and 0.3 to 1.5 parts of binding agent. The toughening agent increases the fracture toughness of the high-thermal-shock-resistance high-purity corundum brick through a plurality of strengthening mechanisms such as crack deflection, crack branching and microcracks, so that the high-thermal-shock-resistance high-purity corundum brick has high thermal shock resistance and mechanical properties. Meanwhile, the fused zirconia corundum has a short fiber structure through modification, and fibers can hinder linear propagation of main cracks, force the cracks to deflect and form crack branches, so that the thermal shock resistance and mechanical properties of the high-purity corundum brick with high thermal shock resistance are further enhanced.

The invention belongs to the technical field of life state monitoring and maintenance management of a pantograph carbon contact strip, and particularly discloses a pantograph carbon contact strip full-life cycle data management system, which comprises a multi-level gradient feature library, a pseudo edge filtering technology, multi-scale feature extraction and radial basis function classification, full-scale identification of defects such as cracks is realized, and the microcrack detection accuracy is improved; multi-source data collaborative acquisition and three-dimensional coordinate mapping are adopted, and self-adaptive sliding window analysis is combined, so that data integrity and timeliness under different working conditions are ensured; through impact energy parameter integration, pressure fluctuation index calculation and a thermal expansion correction coefficient, a partition life prediction model is established, and the wear prediction error of a key area is reduced; high-risk area automatic marking and maintenance work order generation are realized, the RFID tracing technology is combined, the maintenance efficiency is improved, and the service life is prolonged. According to the method, the defects of a traditional method in the aspects of defect detection, dynamic monitoring and service life prediction are effectively overcome.

The invention provides a preparation method and device of a stretchable conductive interface. The method comprises the following steps: pouring a stretchable polymer solution or a precursor mixture of silica gel into a gradient polytetrafluoroethylene mold on a horizontal table, and standing to form a stretchable polymer film with a gradient thickness; covering the surface of the stretchable polymer film with an electrode patterning mask, and depositing a conductive circuit on the surface of the stretchable polymer film through vacuum thermal evaporation or magnetron sputtering to form a microcrack gold conductive layer covering the surface of the stretchable polymer film, so as to complete electrode patterning and obtain a gradient gradient flexible electrode; and after one end, with the large thickness, of the stretchable polymer film of the gradient gradient flexible electrode is connected with a flexible printed circuit board FPCB, the surface of the gradient gradient flexible electrode is covered with a polymer insulating layer film with the modulus matched with that of the substrate for packaging protection, and preparation of the stretchable conductive interface is completed. Stress can be effectively dispersed, and the mechanical stability and durability of a connector are improved.

The invention belongs to the technical field of mining engineering, and particularly relates to a composite roof gob-side entry retaining roof cutting pressure relief deep hole presplitting blasting method which comprises the steps that geological data are obtained, a discrete element method is combined, a composite roof-roadway space three-dimensional mechanical model is constructed, and the roof fracture and collapse process under different blasting parameters is simulated; a whale optimization algorithm and a BP neural network are fused on the basis of roof fracture and collapse processes under different blasting parameters, and a target blasting parameter combination is dynamically output; the method comprises the following steps: monitoring roof microcrack propagation and stress change data in real time, adjusting blast hole arrangement and a charging structure in combination with a target blasting parameter combination, automatically installing a blasting material and an axial air spacer by adopting an intelligent charging robot based on the adjusted blast hole arrangement and charging structure, and accurately controlling blasting through a high-precision electronic detonator. And an ordered pressure relief process is formed according to the detonation time difference. Therefore, the problems that in the prior art, the parameter adjusting range is narrow, blasting stress distribution is uneven, and construction stability is poor are solved.

The invention discloses a method and a system for detecting an antibacterial coating micro guide wire. The method comprises the following steps: applying a composite stress field to a guide wire to obtain stress distribution data; determining a stress response abnormal area according to the stress distribution data and applying dual-frequency vibration excitation to obtain nonlinear vibration response data and vibration energy dissipation data; force-sensitive fluorescent molecules are applied to the stress response abnormal area for treatment, and conformational changes of the stress response abnormal area are monitored to obtain preliminary spatial distribution data of the microcracks; injecting a multi-ion fluorescent tracer into the micro-crack area, and monitoring the migration rule of the multi-ion fluorescent tracer to obtain pH value distribution data and oxidation-reduction potential distribution data; bacterial suspension with specific fluorescence response is injected into the micro-crack area, and antibacterial activity evaluation data is obtained by monitoring the fluorescence response of the bacterial suspension. According to the technical scheme, the microcracks on the surface of the antibacterial coating micro guide wire are accurately detected and positioned, and the influence degree of the microcracks on the antibacterial function can be accurately evaluated.