10results about How to "Guaranteed detection efficiency" patented technology

The utility model discloses an SIM card tray detection device which comprises a workbench, two supporting plates are fixedly connected to the top of the workbench, two rotating rollers are rotationally connected between the two supporting plates, a conveying belt is arranged on the outer sides of the two rotating rollers, and a plurality of fixing seats are fixedly connected to the outer side of the conveying belt at equal intervals. The beneficial effects of the utility model are that: it is novel in structure, simple to operate, easy to master, not only compact in structure, but also stronger in practicality, and more convenient to use. Compared with a traditional device, by arranging the fixing base, the rotating shaft, the electromagnet, the magnet, the connecting rod, the clamping base, a first spring, a touch switch, a gear ring, a touch rod and a rack, the electromagnet can be controlled to be powered on by triggering the touch switch after the fixing base moves to the clamping position, then the touch switch generates repulsive force on the magnet, and the clamping effect is achieved. In this way, the first spring is compressed and the clamping seat is driven to clamp the SIM card support.

The present application relates to the technical field of crystal nondestructive testing, and particularly relates to a crystal defect nondestructive testing method and system based on pumped probe transient absorption spectrum, which comprises the following steps: detecting a target region of a crystal to be tested by using pump light and probe light; collecting a transient absorption image of the target region according to a preset time delay between the pump light and the probe light, and extracting a target risk region; focusing the pump light and the probe light, and performing point-by-point scanning on the target risk region by using the focused pump light and probe light; collecting three-dimensional transient absorption intensity distribution and defect dynamic evolution data of each scanning point in the target risk region under different time delays; performing correlation calibration based on the transient absorption image and the three-dimensional transient absorption intensity distribution to obtain defect parameters; and constructing a damage prediction model based on sample damage threshold data, and outputting damage threshold prediction results according to the defect parameters. The purpose is to realize nondestructive and rapid detection of internal defects of deuterated potassium dihydrogen phosphate crystals.

This invention provides a multimodal fake news detection method based on dual cognition and hybrid expert networks, involving the interdisciplinary fields of natural language processing and computer vision. The method includes: extracting and fusing single-modal features from the text and image data of the news to be detected to obtain comprehensive multimodal features; simultaneously inputting the comprehensive multimodal features into an experience system based on a global memory and an inference system based on a hybrid expert network; the experience system outputs memory features by retrieving data from the global memory, and the inference system selects and activates a portion of the expert network through a dynamic routing mechanism and aggregates and outputs inference features; calculating dynamic arbitration weights based on the comprehensive multimodal features, memory features, and inference features, and using these dynamic arbitration weights to weightedly fuse the memory features and inference features to obtain fused features; inputting the fused features into a classifier to output the authenticity determination result of the news to be detected.

This application relates to the field of power equipment testing technology, and in particular to a method and apparatus for detecting the amount of dissolved gas degassing in oil. The method includes: acquiring oil sample information and operating condition information of the corresponding expandable gas collector; determining the pressure change data of the expandable gas collector based on the oil sample information and operating condition information; and calculating the total amount of dissolved gas degassing in the oil sample based on the pressure change data and a preset mapping relationship. This solves the problems of gas chromatography, which is cumbersome to operate, requires highly skilled personnel, has high instrument and consumable costs, and is time-consuming, making real-time monitoring impossible; and vacuum degassing, which requires strict vacuum levels, has high equipment purchase and maintenance costs, poor degassing effect stability, difficulty in guaranteeing detection accuracy, and is prone to oil sample contamination and complex operation.

The application relates to the technical field of battery production equipment, in particular to a detection equipment and a battery production system. The detection equipment is used for detecting dust on a silicon wafer and comprises a bearing table used for bearing the silicon wafer, a wiping assembly used for wiping a wiped area of the silicon wafer, the wiped area being located on a first surface of the silicon wafer and being smaller than the area of the first surface of the silicon wafer, and a shooting assembly used for shooting the first surface of the silicon wafer. The detection equipment provided in the application can wipe the first surface of the silicon wafer, so that the area of the silicon wafer surface with dust after wiping and the area without wiping form a color difference, thereby identifying whether the surface of the silicon wafer has dust, improving the detection efficiency of detecting the dust on the surface of the silicon wafer, guaranteeing the cleanliness of the silicon wafer, guaranteeing that the silicon wafer with dust does not contaminate other silicon wafers, and improving the yield of silicon wafer production.

The present application relates to nonferrous metallurgical analysis testing technical field, especially to a kind of copper-based ingot sample automatic inspection system.It includes: pneumatic sample feeding and opening unit, for taking out sample from sample area, and transmission to laboratory;Milling sample and analysis unit, for milling and detection of copper-based block material;Matching unit, the matching unit is connected with milling sample and analysis unit, for the transmission, circulation and equipment cleaning between each equipment when sample is automatically detected in laboratory;Background control unit, the background control unit calls and analyzes the data of each unit, automatic milling machine, visual detection device, direct-reading spectrometer, sample marking machine, sample filing device are sequentially arranged according to the detection order of copper-based, and are connected by conveying mechanism and each mechanical hand.The system can make the process of sample detection realize unmanned, automation, greatly reduce manpower investment, improve detection efficiency.

The online alpha particle detector of this invention integrates a ZnS(Ag) detector and a PIPS (ion-implanted passivated silicon) detector. Both ZnS(Ag) and PIPS are insensitive to ambient gamma rays, allowing the device to achieve low background and detection limits without additional shielding. ZnS(Ag) is also insensitive to beta rays; with proper threshold setting, the interference of beta rays on ZnS(Ag) is negligible. For PIPS, the energy spectrum of beta rays is concentrated in the low-energy region; interference from beta rays can be eliminated through energy spectrum analysis algorithms or by increasing the lower limit of the energy spectrum threshold. Thus, the influence of beta and gamma rays on the combined detector's measurement of alpha particles is greatly reduced, improving the detection accuracy of alpha particles. The ZnS(Ag) detector is coupled with multiple PMTs, further ensuring detection efficiency. The detection window structure, thanks to its unique design, is easy to replace, and the window materials—aluminum foil, titanium foil, and gold foil—are flexibly adaptable. The detector is resistant to strong acids and alkalis and corrosion, enabling a wider range of applications.

The utility model discloses a kind of intelligent pressure detection mechanisms for digital pressure gauge, it is related to pressure gauge pressure detection technical field, including water tank pedestal, the side top of water tank pedestal is fixedly installed with pressure detection control box, the front side of pressure detection control box is fixedly installed with controller, the back of the side of pressure detection control box is fixedly installed with detection platform. By setting the controller on the pressure detection control box directly control the start of pump body controller, to control the water body in the inside of water tank pedestal is directly pumped into the inside of inlet pipe, then is transmitted to the inside of detection installation pipe, install multiple digital pressure gauges needing detection on the surface of detection installation pipe, using the threaded installation of connecting thread column and installation communication pipe, now the start of external controller is controlled by pressure detection control box, opens the power control valve of multiple positions, can realize pressure detection operation for multiple positions digital pressure gauge.

The invention provides a braid quality detection method and system based on industrial camera detection, and relates to the technical field of quality detection.The method comprises the steps that 1, after continuously-collected original images of a conveyed braid are preprocessed, a target area where the braid is located is extracted, a detection coordinate system is established, and a braid detection area image after positioning is obtained; and performing surface defect detection and geometric dimension detection on the positioned braid detection area image to obtain an independent defect area set, two edge reference lines of the braid, a real-time width value and a width deviation value. According to the method, the detection reference can be unified, braid conveying deformation and defect distribution can be adaptively adapted, the width detection dynamic precision is improved, defect and size data association judgment is achieved, single feature misjudgment is avoided, and braid quality fine grading is completed.