8results about How to "Realize non-destructive testing" patented technology

This application discloses a flexible light-emitting sensor, its fabrication method, and its application in the non-destructive detection of mercury ions, belonging to the field of sensor materials and detection technology. The technical solution of this application introduces phycocyanin as a functional crosslinking agent into a polyacrylamide (PAAM) network. The prepared phycocyanin-polyacrylamide (PC-PAAM) hydrogel combines the structural stability of polyacrylamide with the fluorescence properties and chemical reactivity of phycocyanin. This gel, within a soft and biocompatible monomer network, integrates strong responsive fluorescence, intrinsic antioxidant protection, and excellent underwater adhesion, achieving direct fingertip contact surface sensing with a synergistic mechano-optical effect. Furthermore, by combining a machine learning model trained based on hydrogel fluorescence images, it can further support precise, portable, and visualized quantitative analysis of mercury ion pollution using smartphone imaging technology.

This invention provides a rod-shaped magnetic core and its preparation method, an inductor and its preparation method, and their applications, belonging to the field of non-destructive testing technology for inductor devices. The invention provides a method for preparing a rod-shaped magnetic core, comprising the following steps: filling a mold hole with nanocrystalline alloy wire along the extension direction of the mold hole; then infiltrating the gaps between the nanocrystalline alloy wire with epoxy resin for curing to obtain the rod-shaped magnetic core; the diameter of the nanocrystalline alloy wire is 0.05–0.2 mm; the diameter of the mold hole is 0.3–0.5 mm. The preparation method of this invention can prepare rod-shaped magnetic cores with a diameter of 0.2 mm or more, and the epoxy resin in this invention enhances the strength of the rod-shaped magnetic core, preventing it from breaking when wound with a coil. Furthermore, the rod-shaped magnetic core of this invention does not have the problems of uneven surface and burn-out layer, and does not reduce the relative permeability of the magnetic core.

The application discloses a photovoltaic junction box defect detection system and method based on eddy current excitation and infrared thermal imaging coupling technology, and relates to the field of photovoltaic junction box defect detection.The photovoltaic junction box defect detection system comprises an eddy current excitation module, which is used for applying an alternating magnetic field to a photovoltaic junction box to be detected, so that eddy currents are induced in the internal conductors of the photovoltaic junction box, and differential Joule heat responses are formed at the welds in different contact states; an infrared thermal imaging module, which is used for collecting temperature distribution information of the surface of the photovoltaic junction box and generating a thermal image sequence; and an intelligent algorithm module, which is electrically connected with the infrared thermal imaging module and is used for processing the thermal image sequence, wherein the intelligent algorithm module comprises an image preprocessing unit, a multi-scale wavelet decomposition unit, a variable point detection unit and a defect judgment unit connected in sequence.The application can intensify defect signals through active eddy current excitation, and can detect early and mild false-weld defects by using a targeted variable point detection algorithm and being sensitive to weak temperature rise signals.

This invention provides a device for detecting and grading cigarette mouthpiece capsules, comprising a frame with a horizontally mounted conveyor belt. Above the conveyor belt, from one end to the other, are sequentially arranged a cigarette mouthpiece feeding mechanism, a hyperspectral detection mechanism, a laser pointer, and a cigarette mouthpiece gripping mechanism. The feeding mechanism feeds cigarette mouthpieces at a constant speed to the beginning of the conveyor belt. The detection ports of the hyperspectral detection mechanism and the laser pointer face downwards. A photoelectric sensor and an incremental encoder, with their detection ports facing the cigarette mouthpieces on the conveyor belt, are also located on one side of the conveyor belt. Two horizontal tracks are positioned above the end of the conveyor belt, and the cigarette mouthpiece gripping mechanism controls the flow of cigarette mouthpieces onto the designated tracks. The device also includes a control unit mounted on the frame and electrically connected to other electrical components. This invention uses a hyperspectral detection mechanism to detect cigarette mouthpiece capsules, achieving non-destructive testing while maintaining high speed.

The application relates to the technical field of photovoltaic device detection, and particularly relates to an integrated detection device for perovskite solar cells. The device comprises a box body, a sample table and an optical imaging assembly, and is integrated with a photoluminescence module, an electroluminescence module and a back light imaging module in the box body. Through the integrated design, the workpiece to be detected can complete imaging in three modes in situ without moving, so that the photoluminescence (PL), electroluminescence (EL) and back light images which are completely registered in spatial position are obtained. The application solves the pain point that the prior art cannot accurately associate materials, electrical defects and physical holes due to the lack of back light imaging, realizes accurate attribution of defect sources, and can realize automatic detection through a cooperative controller, and significantly improves the detection efficiency and the accuracy of analysis.

The invention discloses an intelligent agricultural product sorting method based on physical feature iterative optimization and a related device, and belongs to the technical field of agricultural product sorting. The method comprises the following steps: collecting a surface reflection image and a near-infrared transmission image of an agricultural product to be sorted; using homomorphic filtering to carry out anti-wrinkle preprocessing on the surface reflection image; extracting physical feature vectors of the two images; iterative optimization is carried out based on the physical characteristic matrix, an optimal judgment threshold parameter combination is obtained, feature extraction and judgment are carried out on agricultural product images collected in real time, and an execution mechanism is controlled to complete the sorting action according to encoder signals and a delay compensation mechanism. According to the method, morphological interference is solved through homomorphic filtering, interpretability detection of quality is achieved through white-box physical characteristic quantification, top-speed self-adaption of parameters is achieved through matrix iteration, and therefore precise and intelligent sorting of complex agricultural products is achieved.

This invention discloses a defect detection method for semi-transparent multilayer film materials. It utilizes a multi-camera setup, combining a line scan camera, a PMD area array camera, and a small-field-of-view CCD camera, along with a robotic arm for flipping to inspect the front and back of the product. A unified coordinate system is established through spatial registration, and a multi-layered composite logic filtering mechanism is employed to identify defects and reject over-detected defects. Specifically, this includes front and back grayscale and morphology data acquisition, spatial coordinate registration, multi-dimensional defect identification, and logical processing for bubble deduplication, dust filtering, and system noise filtering. Simultaneously, multi-focus CCD imaging enables layered defect determination. This invention improves the accuracy of defect detection and discrimination, achieving high-precision and high-reliability detection of defects in semi-transparent multilayer films, and is suitable for online quality inspection during the production process of semi-transparent multilayer films.

The application belongs to the technical field of large-scale flat plate reflection array fault detection, and particularly relates to a detection device and method for a reconfigurable reflection array unit, the device comprising an isolation chip, a driving chip, a main control chip and a test circuit, the isolation chip is used for receiving test instructions issued by a computer and converting the test instructions into driving signals; the driving chip is connected with the isolation chip and is used for converting the driving signals into level signals; the main control chip is connected with the driving chip and is used for generating pin control signals; the test circuit is connected with the main control chip and is used for collecting pin current values in the reconfigurable reflection array unit; the device further comprises a power supply circuit, the power supply circuit supplies power to the isolation chip, the driving chip and the main control chip respectively, and the application can realize detection on the working condition of a large-scale reconfigurable reflection array unit, and has a simple structure and higher efficiency.