13results about How to "Realize non-contact" patented technology

The invention belongs to the technical field of non-destructive testing, and particularly relates to a concrete structure non-destructive testing damage identification method which comprises the following steps: step 1, arranging monitoring points of a concrete structure, and selecting the monitoring points at the maximum load or easily damaged nodes of the concrete structure; 2, adopting different monitoring modes for the monitoring points, wherein the monitoring modes comprise active monitoring and passive monitoring; and step 3, carrying an acoustic emission probe in the active monitoring. According to the method, the acoustic emission signal classification model based on machine learning is established and combined with various characteristic parameters of the acoustic emission signals, so that extraction and classification of data information are comprehensively guaranteed, a nondestructive testing and damage analysis method based on the decision tree is provided, a decision tree classification model can be established, the accuracy is high, and the method is suitable for popularization and application. A normal acceleration measuring device and a noise collecting device are placed at the position of a selected measuring point on the surface of a concrete structure and near the concrete structure, so that lossless and non-contact knotting detection technology is realized.

The dry gas sealing structure of the vein-shaped bionic groove comprises a movable ring and a static ring which are matched with each other, and a sealing end face is arranged on the movable ring; a plurality of dynamic pressure grooves are evenly engraved in the sealing end face of the movable ring in the circumferential direction, the inlet side of the end face of the movable ring is a high-pressure side, the other side of the end face of the movable ring is a low-pressure side, the opening position of each dynamic pressure groove is located on the high-pressure side of the end face of the movable ring, each dynamic pressure groove comprises a vein-shaped bionic groove distributed in the circumferential direction, and each vein-shaped bionic groove comprises a main vein and side veins divided into two sides from the main vein. In the operation process of the vein-shaped bionic groove, fluid flows into the dynamic pressure groove through an inlet of the dynamic pressure groove and is extruded by the dynamic pressure groove to form a high-pressure area at the main vein, so that the static ring is opened, the sealing effect is formed, the fluid is blocked at the main vein of the vein-shaped bionic groove, the dynamic pressure effect of the fluid is enhanced, and the sealing effect of the fluid is improved. Meanwhile, part of fluid flows into the low-pressure side pulse, the working medium leakage amount is reduced, the abrasion degree of a sealing piece is weakened, and the service life of the sealing device is prolonged.

This invention discloses a method for detecting the aging state of asphalt pavement by integrating hyperspectral imagery and deep learning, relating to the field of deep learning technology. The method includes: acquiring and preprocessing hyperspectral images of the target road section to obtain surface reflectance images; dynamically identifying and masking vehicles and their shadows in the images using a spectral angle matching method to extract effective pixel spectral datasets; performing hybrid pixel decomposition on the effective pixel spectral datasets using a non-negative matrix factorization algorithm to obtain asphalt endmember spectra and aggregate endmember abundance maps; inputting the asphalt endmember spectra into a pre-trained oxidation degree assessment model to output asphalt oxidation degree values; overlaying the aggregate endmember abundance map with near-infrared band images and inputting it into a pre-trained exposure rate segmentation network to output a binary mask of aggregate exposure areas and calculate the aggregate exposure rate. This method solves the technical problem that existing technologies cannot quickly and non-destructively detect the aging state of asphalt pavement.

The invention relates to the technical field of intelligent big data acquisition, in particular to a Chinese language ancient book intelligent digital acquisition system, which comprises a constant temperature box internally provided with a bearing platform for placing ancient books; the page turning execution assembly is movably arranged in the constant temperature box, and the page turning execution assembly comprises a mounting base and at least one execution unit arranged along the mounting base; the execution unit comprises a triggering mechanism used for sequentially completing the whole process of adsorption, lifting and shifting at the corners of the book pages, and a page turning mechanism used for forming tiny gaps at the corners of the book pages. According to the page turning device, non-contact and soft contact type page turning of fragile ancient book pages is achieved by combining the synergistic effect of electrostatic adsorption, the flexible driving lever and controllable airflow. The electrostatic adsorption head can softly adsorb corners of pages, and by matching with air cushion separation and soft rubber wheel page turning, physical friction and structural damage to ancient book paper are reduced to the maximum extent, and it is ensured that an ancient book body is safe and lossless in the digitization process.

The present invention discloses an active visual reconstruction system and method for automobile morphology based on point and line invariants, aiming to solve the problem of active visual detection of automobile morphology based on point and line invariants. The active visual reconstruction system for automobile morphology based on point and line invariants mainly comprises a camera bracket (1), a camera (2), a connecting piece (3), a line laser (4) and a two-dimensional calibration plate (5). The active visual reconstruction method for automobile morphology based on point and line invariants comprises three steps: image acquisition, coordinate solution of vehicle body feature points in the coordinate system of the two-dimensional calibration plate (5) based on point and line invariants, and vehicle body point reconstruction. A system and method for active visual reconstruction of automobile morphology based on point and line invariants with simple structure and reliable performance is provided.

The invention discloses a nondestructive measuring device for the circumference of a tobacco stem of a tobacco plant. The device comprises a handle, a measuring unit, a centering unit and a control unit, the measuring unit is provided with an annular support capable of being opened and closed and a measuring probe capable of moving along the closed support, and surrounding measurement from the side of the tobacco stem is achieved. The centering unit comprises at least three radial centering rods with pressure sensors; the control unit controls the centering rod to stretch out and draw back synchronously according to pressure feedback, automatically positions the tobacco rod in the center of the measuring ring, drives the probe to scan and obtain tobacco rod contour data, and calculates the perimeter. According to the device, the problem that field operation is inconvenient is solved through an opening and closing type annular structure, manual centering errors are eliminated through active force feedback centering, high-precision and full-perimeter nondestructive measurement is achieved through non-contact rotary scanning, and an efficient and reliable automatic tool is provided for tobacco plant growth phenotype research.

The invention discloses a method for measuring the thickness and refractive index of a film based on photon spin splitting weak measurement amplification displacement, which comprises the following steps of: firstly, establishing the thickness and refractive index of a film material under each refractive index and thickness according to a theoretical relation model between the photon spin splitting weak measurement amplification displacement and the thickness and refractive index of the measured film; a theoretical relation database of photon spin splitting weak measurement amplification displacement and a front selection angle and a rear selection angle of weak measurement; irradiating an incident light beam to the surface of the measured film at a certain incident angle, adjusting a front selection angle and a rear selection angle of weak measurement, and measuring a photon spin splitting weak measurement amplification displacement value at the moment; sequentially changing the front selection angle or the rear selection angle of the weak measurement to obtain a group of measurement data of photon spin splitting weak measurement amplification displacement under the front selection angle or the rear selection angle; and finally, analyzing and comparing theoretical data and measurement data, and determining the refractive index and the thickness of the measured film. According to the invention, non-contact, lossless, high-precision and high-stability measurement of the refractive index and the thickness of the nanoscale film is realized.

The invention provides a methane gas detection system and method based on cavity ring-down spectroscopy, and the system comprises a laser emission module which is used for emitting a laser with a preset wavelength to a to-be-detected methane gas in a resonant cavity module; the resonant cavity module is used for receiving the methane gas to be detected and reacting with the input laser to cause gradual weakening of the laser intensity; the gas path module is used for inputting and outputting methane gas to be detected in the resonant cavity module; the signal acquisition and processing module is used for acquiring ring-down optical signals of the laser emitted by the laser emission module, wherein the ring-down optical signals are gradually weakened through the methane gas; performing baseline correction and de-noising on the collected ring-down optical signal, and performing fitting processing based on the de-noised ring-down optical signal to obtain an exponential decay function; and extracting ring-down time when the function value is 1 / e of the maximum value based on the obtained exponential decay function, obtaining the methane gas concentration based on the ring-down time in combination with the methane gas absorption cross section and the AvoGamdeo constant inversion, and obtaining a methane gas detection result.

This invention discloses an online detection method and device for the trajectory of sphere polishing, relating to the field of precision machining online detection. The method includes: S1, acquiring a continuous image sequence during the sphere polishing process at time i using a high-speed camera; S2, preprocessing and feature recognition of the continuous image sequence; S3, a rotation angular velocity measurement module calculating the rotation angle and rotation angular velocity to obtain theoretical values; and a three-dimensional trajectory reconstruction module radially projecting discrete trajectory points onto a sphere surface determined based on the first point, to achieve visualized three-dimensional trajectory reconstruction under geometric constraints, thus completing the online detection of the sphere polishing trajectory. This invention combines a transparent grinding disc structure, a multi-view observation layout, and a dedicated image processing algorithm to achieve real-time, high-precision, and high-efficiency online detection of the sphere's rotational motion parameters and trajectory during the polishing process.

The invention relates to the field of physical testing technologies and systems, and discloses a bridge steel structure defect nondestructive testing system based on infrared thermal imaging, which comprises an unmanned aerial vehicle integrated with an infrared thermal imaging detection device and a ground computing station. The unmanned aerial vehicle flies along a planned path, transient thermal excitation is applied through a thermal excitation device, and dynamic thermal response data of the surface of a pre-coated infrared coating is collected by synchronously utilizing an infrared thermal imager. And the ground computing station performs space-time fusion preprocessing on the returned data to obtain a standardized panoramic temperature field image, and inputs the standardized panoramic temperature field image into a convolutional neural network model which fuses physical mechanism constraints and has an online self-optimization function for intelligent analysis. According to the method, signals are enhanced through the coating, efficient inspection is achieved through the unmanned aerial vehicle, the recognition precision and generalization ability are guaranteed through the physical information fusion model, continuous evolution is achieved in combination with online self-optimization, and a high-sensitivity, full-automatic and quantitative bridge steel structure defect intelligent detection solution is formed.

The invention discloses an online monitoring device and method for the oil paper insulation aging state of oil-filled equipment, and relates to the field of oil paper insulation monitoring. An inlet and an outlet of a circulation channel in the device are communicated with different positions of the oil-filled equipment respectively; the pump is arranged at an inlet of the circulating channel; the oil flow cuvette is arranged on the circulation channel; the opposite surfaces of the oil flow cuvette are respectively provided with a terahertz transmitting probe and a terahertz receiving probe of the transmission-type terahertz time-domain spectrometer; the pump is used for enabling insulating oil in the oil charging equipment to flow into the circulating channel and enter the oil flow cuvette; the terahertz transmitting probe is used for transmitting terahertz waves to penetrate through the oil flow cuvette after insulating oil flows into the oil flow cuvette; the terahertz receiving probe receives the terahertz waves penetrating through the oil flow cuvette and obtains terahertz time-domain signals; and aging state on-line monitoring is carried out. According to the invention, non-sampling, non-contact and rapid in-situ detection of the oil paper insulation aging state of the oil-filled equipment can be realized.

This invention discloses an intelligent calculation and analysis method for grounding resistance based on the Internet of Things (IoT), relating to the field of intelligent assessment. The method includes the following steps: Step 1: Deploy flexible, windable current induction coils at key nodes of the grounding grid to collect raw time-domain current waveform data in the grounding loop; Step 2: Transmit the raw time-domain current waveform data to a cloud server in real time via an integrated data communication module with integrated data acquisition functions, without local processing; Step 3: The cloud server receives massive amounts of raw time-domain current waveform data and performs preprocessing operations. This method achieves non-contact, high-fidelity, and continuous acquisition of grounding loop current during operation. Combined with IoT technology, it constructs a full-time data profile of the grounding system, eliminates monitoring blind spots, and accurately identifies early deterioration characteristics caused by corrosion, loosening, etc., which are undetectable by traditional methods, and calculates the probability of future specific faults.

This invention relates to the field of coal bunker safety monitoring and industrial measurement technology, specifically to an acoustic non-destructive method and system for three-dimensional temperature field imaging in coal bunkers. The method involves deploying a multi-layered ring-shaped acoustic transducer array on the coal bunker wall to acquire multipath acoustic signals penetrating the coal and their transit times; simultaneously, it acquires the air temperature and relative humidity inside the coal bunker. Combined with the coal's pore structure parameters, a dual-domain coupled equivalent acoustic slow-motion model is established. A conversion factor is used to correct the free-space acoustic slow-motion to accurately characterize the propagation of sound waves in the porous medium. Using this model as a physical constraint, and the measured transit time as the observation value, an iterative inversion solution is performed using a regularization constraint consistent with the coal compaction anisotropy to obtain the reconstructed three-dimensional temperature field. The system includes a sensing layer, an edge layer, and a platform layer. This invention achieves non-contact, full-volume, three-dimensional real-time imaging and hotspot localization of the internal temperature of a coal bunker.